@article {pmid40263346,
year = {2025},
author = {Yamamoto, PK and Takasuka, K and Mori, M and Masuda, T and Kono, N},
title = {Non-invasive molecular species identification using spider silk proteomics.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {13844},
pmid = {40263346},
issn = {2045-2322},
support = {23K21203//Japan Society for the Promotion of Science/ ; },
mesh = {Animals ; *Spiders/genetics/classification/metabolism ; *Proteomics/methods ; *Silk/chemistry/genetics/metabolism ; Species Specificity ; Amino Acid Sequence ; Computational Biology/methods ; DNA Barcoding, Taxonomic/methods ; },
abstract = {Accurate species identification is essential in biology, ecology, medicine, and agriculture, yet traditional methods relying on morphological characteristics often fail due to phenotypic plasticity and cryptic species. These limitations are particularly pronounced in small organisms with minimal distinguishing features. DNA barcoding has become a popular alternative; however, it requires invasive tissue sampling, making it unsuitable for delicate or rare organisms like insects and spiders. To address this challenge, we propose a non-invasive molecular method using proteomic analysis focused on species-specific protein sequences in spider silk, offering a viable solution for species identification without harming specimens. We developed a universal silk-dissolving method, followed by sequence similarity analysis to classify species into those identifiable at the species level and those distinguishable only to a group of closely related species. A bioinformatics pipeline was established to analyze peptide sequences, achieving 96% accuracy across 15 spider species, even in the presence of contaminants. This technique complements DNA barcoding and can be extended to other organisms producing biological materials. It holds promise in pest management, medical diagnostics, and improving public health by enabling accurate species identification without invasive procedures.},
}

Animals
*Spiders/genetics/classification/metabolism
*Proteomics/methods
*Silk/chemistry/genetics/metabolism
Species Specificity
Amino Acid Sequence
Computational Biology/methods
DNA Barcoding, Taxonomic/methods

@article {pmid40259303,
year = {2025},
author = {Yano, KM and Zucchi, P and Novais, MAP},
title = {Psychiatric hospitalizations in the Unified Health System: an observational study on hospitalization rates from 2012 to 2023.},
journal = {BMC public health},
volume = {25},
number = {1},
pages = {1463},
pmid = {40259303},
issn = {1471-2458},
support = {2022/10716-2//São Paulo State Research Foundation (FAPESP)/ ; },
mesh = {Humans ; *Hospitalization/trends/statistics & numerical data ; Brazil/epidemiology ; Female ; Male ; Adult ; Middle Aged ; Adolescent ; *Mental Disorders/therapy/epidemiology ; Aged ; Young Adult ; Aged, 80 and over ; Child ; Infant ; Child, Preschool ; *National Health Programs/statistics & numerical data ; Infant, Newborn ; },
abstract = {BACKGROUND: Psychiatric care in Brazil is based on the National Mental Health Policy and is aligned with the guidelines of the Brazilian Unified Health System. It is based on the preeminence of care in the extra-hospital context over the hospital context. Hospital admissions should occur solely when extra-hospital resources prove insufficient for the proper management of the mental health condition.

METHOD: It refers to a time series investigation of a descriptive, ecological, and observational nature. We used publicly available hospital admissions data from the Brazilian Unified Health System's Department of Informatics. The study looked at information on diseases in ICD-10 group V that affected both men and women aged 0 to 80 or older, from 2012 to 2023. The information was analyzed using the statistical software SPSS 20.0, as well as Jointpoint, through permutation tests, with the aim of evaluating the temporal trend of hospitalization and mortality rates. The joinpoint regression model used a log-linear method to set up a series of connected lines on a logarithmic scale and the Monte Carlo permutation method to figure out the direction or statistical significance. A significance level of 5% was established for the execution of all statistical tests.

RESULTS: Overall, a trend of reduction in psychiatric hospitalization rates was observed. However, these trends exhibited fluctuations when analyzed in isolation with respect to the type of disorder, gender, and age group. In contrast to the general trend, the number of hospitalizations for affective disorders and disorders linked to stress and somatization went up. This was especially true between 2021 and 2023, when the number of hospitalizations for other disorders went down more significantly. The predominance of hospitalizations in the male gender was significant. However, the trends of decrease were less pronounced in the male group, especially regarding hospitalizations associated with alcohol and other substance use, which draws attention to the hospitalization rates of the female sex. As it relates to dementias, the national picture shows that hospitalizations are going down, and most of the patients are women and older adults or people who are very old. However, an analysis of the state scenario showed that hospitalizations went up for adults, more than for the elderly combined, with more men than women.

CONCLUSION: the results achieved in this research confirm the findings, both nationally and internationally. Studies have shown that investments made through the National Mental Health Policy and the effects of Covid-19 led to a drop in the number of people admitted to psychiatric hospitals. This was because of the restructuring of the care model, which meant that hospitalizations had to be prioritized to meet the needs of Covid-19, which hurt people with mental disorders.},
}

Humans
*Hospitalization/trends/statistics & numerical data
Brazil/epidemiology
Female
Male
Adult
Middle Aged
Adolescent
*Mental Disorders/therapy/epidemiology
Aged
Young Adult
Aged, 80 and over
Child
Infant
Child, Preschool
*National Health Programs/statistics & numerical data
Infant, Newborn

@article {pmid40208899,
year = {2025},
author = {Minier, L and Rouch, J and Sabbagh, B and Bertucci, F and Parmentier, E and Lecchini, D and Sèbe, F and Mathevon, N and Emonet, R},
title = {Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software.},
journal = {PLoS computational biology},
volume = {21},
number = {4},
pages = {e1012050},
doi = {10.1371/journal.pcbi.1012050},
pmid = {40208899},
issn = {1553-7358},
mesh = {*Coral Reefs ; *Software ; Animals ; Acoustics ; Anthozoa/physiology ; Sound ; Machine Learning ; Computational Biology ; Polynesia ; Ecosystem ; *Environmental Monitoring/methods ; },
abstract = {Despite hosting some of the highest concentrations of biodiversity and providing invaluable goods and services in the oceans, coral reefs are under threat from global change and other local human impacts. Changes in living ecosystems often induce changes in their acoustic characteristics, but despite recent efforts in passive acoustic monitoring of coral reefs, rapid measurement and identification of changes in their soundscapes remains a challenge. Here we present the new open-source software CoralSoundExplorer, which is designed to study and monitor coral reef soundscapes. CoralSoundExplorer uses machine learning approaches and is designed to eliminate the need to extract conventional acoustic indices. To demonstrate CoralSoundExplorer's functionalities, we use and analyze a set of recordings from three coral reef sites, each with different purposes (undisturbed site, tourist site and boat site), located on the island of Bora-Bora in French Polynesia. We explain the CoralSoundExplorer analysis workflow, from raw sounds to ecological results, detailing and justifying each processing step. We detail the software settings, the graphical representations used for visual exploration of soundscapes and their temporal dynamics, along with the analysis methods and metrics proposed. We demonstrate that CoralSoundExplorer is a powerful tool for identifying disturbances affecting coral reef soundscapes, combining visualizations of the spatio-temporal distribution of sound recordings with new quantification methods to characterize soundscapes at different temporal scales.},
}

*Coral Reefs
*Software
Animals
Acoustics
Anthozoa/physiology
Sound
Machine Learning
Computational Biology
Polynesia
Ecosystem
*Environmental Monitoring/methods

@article {pmid40173380,
year = {2025},
author = {Zagorščak, M and Abdelhakim, L and Rodriguez-Granados, NY and Široká, J and Ghatak, A and Bleker, C and Blejec, A and Zrimec, J and Novák, O and Pěnčík, A and Baebler, Š and Perez Borroto, L and Schuy, C and Županič, A and Afjehi-Sadat, L and Wurzinger, B and Weckwerth, W and Pompe Novak, M and Knight, MR and Strnad, M and Bachem, C and Chaturvedi, P and Sonnewald, S and Sasidharan, R and Panzarová, K and Gruden, K and Teige, M},
title = {Integration of multi-omics data and deep phenotyping provides insights into responses to single and combined abiotic stress in potato.},
journal = {Plant physiology},
volume = {197},
number = {4},
pages = {},
doi = {10.1093/plphys/kiaf126},
pmid = {40173380},
issn = {1532-2548},
support = {//H2020-SFS-2019-2/ ; P4-0165//Slovenian Research Agency/ ; //Ministry of Education, Youth and Sports of the Czech Republic/ ; CZ.02.1.01/0.0/0.0/16_026/0008446//European Regional Development Fund-Project/ ; },
mesh = {*Solanum tuberosum/physiology/genetics/metabolism ; *Stress, Physiological/genetics ; Phenotype ; Droughts ; Proteomics ; Metabolomics ; Gene Expression Regulation, Plant ; Transcriptome ; Plant Leaves/physiology ; Plant Tubers ; Multiomics ; },
abstract = {Potato (Solanum tuberosum) is highly water and space efficient but susceptible to abiotic stresses such as heat, drought, and flooding, which are severely exacerbated by climate change. Our understanding of crop acclimation to abiotic stress, however, remains limited. Here, we present a comprehensive molecular and physiological high-throughput profiling of potato (Solanum tuberosum, cv. Désirée) under heat, drought, and waterlogging applied as single stresses or in combinations designed to mimic realistic future scenarios. Stress responses were monitored via daily phenotyping and multi-omics analyses of leaf samples comprising proteomics, targeted transcriptomics, metabolomics, and hormonomics at several timepoints during and after stress treatments. Additionally, critical metabolites of tuber samples were analyzed at the end of the stress period. We performed integrative multi-omics data analysis using a bioinformatic pipeline that we established based on machine learning and knowledge networks. Waterlogging produced the most immediate and dramatic effects on potato plants, interestingly activating ABA responses similar to drought stress. In addition, we observed distinct stress signatures at multiple molecular levels in response to heat or drought and to a combination of both. In response to all treatments, we found a downregulation of photosynthesis at different molecular levels, an accumulation of minor amino acids, and diverse stress-induced hormones. Our integrative multi-omics analysis provides global insights into plant stress responses, facilitating improved breeding strategies toward climate-adapted potato varieties.},
}

*Solanum tuberosum/physiology/genetics/metabolism
*Stress, Physiological/genetics
Phenotype
Droughts
Proteomics
Metabolomics
Gene Expression Regulation, Plant
Transcriptome
Plant Leaves/physiology
Plant Tubers
Multiomics

@article {pmid40253432,
year = {2025},
author = {Kelliher, JM and Aljumaah, M and Bordenstein, SR and Brister, JR and Chain, PSG and Dundore-Arias, JP and Emerson, JB and Fernandes, VMC and Flores, R and Gonzalez, A and Hansen, ZA and Hatcher, EL and Jackson, SA and Kellogg, CA and Madupu, R and Miller, CML and Mirzayi, C and Moustafa, AM and Mungall, C and Oliver, A and Pariente, N and Pett-Ridge, J and Record, S and Reji, L and Reysenbach, AL and Rich, VI and Richardson, L and Schriml, LM and Shabman, RS and Sierra, MA and Sullivan, MB and Sundaramurthy, P and Thibault, KM and Thompson, LR and Tighe, S and Vereen, E and Eloe-Fadrosh, EA},
title = {Microbiome data management in action workshop: Atlanta, GA, USA, June 12-13, 2024.},
journal = {Environmental microbiome},
volume = {20},
number = {1},
pages = {40},
pmid = {40253432},
issn = {2524-6372},
support = {2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; },
abstract = {Microbiome research is revolutionizing human and environmental health, but the value and reuse of microbiome data are significantly hampered by the limited development and adoption of data standards. While several ongoing efforts are aimed at improving microbiome data management, significant gaps still remain in terms of defining and promoting adoption of consensus standards for these datasets. The Strengthening the Organization and Reporting of Microbiome Studies (STORMS) guidelines for human microbiome research have been endorsed and successfully utilized by many research organizations, publishers, and funding agencies, and have been recognized as a consensus community standard. No equivalent effort has occurred for environmental, synthetic, and non-human host-associated microbiomes. To address this growing need within the microbiome research community, we convened the Microbiome Data Management in Action Workshop (June 12-13, 2024, in Atlanta, GA, USA), to bring together key decision makers in microbiome science including researchers, publishers, funders, and data repositories. The 50 attendees, representing the diverse and interdisciplinary nature of microbiome research, discussed recent progress and challenges, and brainstormed actionable recommendations and paths forward for coordinated environmental microbiome data management and the modifications necessary for the STORMS guidelines to be applied to environmental, non-human host, and synthetic microbiomes. The outcomes of this workshop will form the basis of a formalized data management roadmap to be implemented across the field. These best practices will drive scientific innovation now and in years to come as these data continue to be used not only in targeted reanalyses but in large-scale models and machine learning efforts.},
}

@article {pmid40249863,
year = {2025},
author = {Wu, Q and Cheng, S and Zhang, W and Zhao, J and Zhang, L and Lv, M and Ma, J and Ding, J and Wang, S and Zheng, X and Gao, J and Liu, R and Yin, Y and Shi, J and Qu, G and Jiang, G},
title = {Heterogeneous Single-Cell Distribution of Trace-Level Metal Mixtures in Tetrahymena thermophila Using Mass Cytometry.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.4c12818},
pmid = {40249863},
issn = {1520-5851},
abstract = {The uptake of heavy metals by unicellular organisms can lead to the bioaccumulation of these metals in higher organisms, detrimentally affecting organismal health and ultimately impacts the ecosystems. By studying the uptake and accumulation of heavy metals in unicellular organisms, we gain insights into potential risks associated with low-dose heavy metal exposure in aquatic environments. Thus, to investigate the accumulation characteristics of Mo, Ag, Cd, Sn, Sb, Hg, Tl, and Pb mixtures in single Tetrahymena thermophila cells, we developed a label-free approach for the simultaneous absolute quantification of multiple metals in a single cell using mass cytometry. Our results demonstrated the dynamic changes in metal concentrations in T. thermophila, and the competition between metals in uptake and excretory pathways resulted in heterogeneous accumulation and bioconcentration of these metals. Additionally, our findings revealed the limited capacity of T. thermophila to excrete Cd and Hg, suggesting a higher risk for T. thermophila cells when exposed to Cd and Hg over an extended period. Therefore, the current study provides valuable data for a more comprehensive understanding of the impact of low-dose heavy metals on aquatic ecosystems.},
}

@article {pmid40188731,
year = {2025},
author = {Li, Y and Huang, S and Jiang, S and Yang, L and Huang, J and Yang, Q and Jiang, Z and Shi, J and Ma, Z and Li, E and Zhou, F},
title = {Multi-omics insights into antioxidant and immune responses in Penaeus monodon under ammonia-N, low salinity, and combined stress.},
journal = {Ecotoxicology and environmental safety},
volume = {295},
number = {},
pages = {118156},
doi = {10.1016/j.ecoenv.2025.118156},
pmid = {40188731},
issn = {1090-2414},
mesh = {Animals ; *Penaeidae/immunology/physiology/drug effects ; *Ammonia/toxicity ; Salinity ; *Antioxidants/metabolism ; *Water Pollutants, Chemical/toxicity ; Oxidative Stress ; Gastrointestinal Microbiome/drug effects ; Metabolomics ; Stress, Physiological ; Transcriptome ; Nitrogen/toxicity ; Multiomics ; },
abstract = {Ammonia nitrogen and salinity are critical environmental factors that significantly impact marine organisms and present substantial threats to Penaeus monodon species within aquaculture systems. This study utilized a comprehensive multi-omics approach, encompassing transcriptomics, metabolomics, and gut microbiome analysis, to systematically examine the biological responses of shrimp subjected to low salinity, ammonia nitrogen stress, and their combined conditions. Metabolomic analysis demonstrated that exposure to ammonia nitrogen stress markedly influenced the concentrations of antioxidant-related metabolites, such as glutathione, suggesting that shrimp mitigate oxidative stress by augmenting their antioxidant capacity. The transcriptomic analysis revealed an upregulation of genes linked to energy metabolism and immune responses and antioxidant enzymes. Concurrently, gut microbiome analysis demonstrated that ammonia nitrogen stress resulted in a marked increase in Vibrio populations and a significant decrease in Photobacterium, indicating that alterations in microbial community structure are intricately associated with the shrimp stress response. A comprehensive analysis further indicated that the combined stressors of ammonia nitrogen and salinity exert a synergistic effect on the immune function and physiological homeostasis of shrimp by modulating antioxidant metabolic pathways and gut microbial communities. These findings provide critical systematic data for elucidating the mechanisms through which ammonia nitrogen and salinity influence marine ecosystems, offering substantial implications for environmental protection and ecological management.},
}

Animals
*Penaeidae/immunology/physiology/drug effects
*Ammonia/toxicity
Salinity
*Antioxidants/metabolism
*Water Pollutants, Chemical/toxicity
Oxidative Stress
Gastrointestinal Microbiome/drug effects
Metabolomics
Stress, Physiological
Transcriptome
Nitrogen/toxicity
Multiomics

@article {pmid40248649,
year = {2025},
author = {Boyes, D and Januszczak, I and , and , and , and , and , and , and , and , and Mitchell, R},
title = {The genome sequence of the Warted Knot-Horn moth, Acrobasis repandana Fabricius, 1798.},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {50},
pmid = {40248649},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female specimen of Acrobasis repandana (Warted Knot-Horn moth; Arthropoda; Insecta; Lepidoptera; Pyralidae). The genome sequence has a total length of 620.40 megabases. Most of the assembly (99.78%) is scaffolded into 32 chromosomal pseudomolecules, including the Z and W sex chromosomes. The mitochondrial genome has also been assembled and is 15.21 kilobases in length. Gene annotation of this assembly on Ensembl identified 11,522 protein-coding genes.},
}

@article {pmid40247661,
year = {2025},
author = {Abraham, AJ and Duvall, ES and Doughty, CE and Riond, B and Ortmann, S and Terranova, M and le Roux, E and Clauss, M},
title = {Sodium Retention in Large Herbivores: Physiological Insights and Zoogeochemical Consequences.},
journal = {Journal of experimental zoology. Part A, Ecological and integrative physiology},
volume = {},
number = {},
pages = {},
doi = {10.1002/jez.2924},
pmid = {40247661},
issn = {2471-5646},
support = {//A.J.A. acknowledges Horizon Europe Marie Skłodowska-Curie Actions Grant Agreement No. 101062339./ ; },
abstract = {The assimilation, retention, and release of nutrients by animals fundamentally shapes their physiology and contributions to ecological processes (e.g., zoogeochemistry). Yet, information on the transit of nutrients through the bodies of large mammals remains scarce. Here, we examined how sodium (Na), a key element for animal health and ecosystem functioning, travels differently through fecal and urinary systems of cows (Bos taurus) and horses (Equus ferus caballus). We provided a large dose of Na and compared its timing of release in feces and urine to that of nonabsorbable markers. Na excretion by urine occurred approximately twice as fast as excretion by feces, yet both were shorter than indigestible particle markers. These differences correspond to rapid absorption of Na in the upper gastrointestinal tract and transport by blood to the kidneys (urine Na excretion) or resecretion of Na into the lower intestinal tract (fecal Na excretion). Interestingly, for cows, we found a second peak of Na excretion in urine and feces > 96 h after dosage. This result may indicate that surplus Na can be rapidly absorbed and stored in specific body cells (e.g., skin), from which it is later released. Using a propagule dispersal model, we found that the distance of cattle- and horse-driven nutrient dispersal by urine was 31% and 36% less than the fecal pathway and 60% and 41% less than the particle marker pathway, which is commonly used to estimate nutrient dispersal. Future physiological and zoogeochemical studies should resolve different pathways of nutrient retention and release from large mammals.},
}

@article {pmid40247093,
year = {2025},
author = {Yang, J and Chen, YN and Fang, CY and Li, Y and Ke, HQ and Guo, RQ and Xiang, P and Xiao, YL and Zhang, LW and Liu, H},
title = {Investigating immune cell infiltration and gene expression features in pterygium pathogenesis.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {13352},
pmid = {40247093},
issn = {2045-2322},
support = {ZKF2024042//National clinical key specialty ophthalmology open foundation/ ; ZKF2024041//National clinical key specialty ophthalmology open foundation/ ; 202208535051//China Scholarship Council/ ; 81860171//National Natural Science Foundation of China/ ; 82460201//National Natural Science Foundation of China/ ; 202205AC160016//Yunnan Young and middle-aged Academic and technical leader Project/ ; L2019029//Yunnan Provincial Health Committee Training program for leading medical talents/ ; YDYXJJ2024-0003//Yunnan University Medical Research Foundation/ ; },
mesh = {Humans ; *Pterygium/genetics/immunology/pathology ; Gene Expression Profiling ; Computational Biology/methods ; Conjunctiva/pathology/metabolism/immunology ; Transcriptome ; *Gene Expression Regulation ; Biomarkers/metabolism ; },
abstract = {Pterygium is a prevalent ocular disease characterized by abnormal conjunctival tissue proliferation, significantly impacting patients' quality of life. However, the underlying molecular mechanisms driving pterygium pathogenesis remain inadequately understood. This study aimed to investigate gene expression changes following pterygium excision and their association with immune cell infiltration. Clinical samples of pterygium and adjacent relaxed conjunctival tissue were collected for transcriptomic analysis using RNA sequencing combined with bioinformatics approaches. Machine learning algorithms, including LASSO, SVM-RFE, and Random Forest, were employed to identify potential diagnostic biomarkers. GO, KEGG, GSEA, and GSVA were utilized for enrichment analysis. Single-sample GSEA was employed to analyze immune infiltration. The GSE2513 and GSE51995 datasets from the GEO database, along with clinical samples, were selected for validation analysis. Differentially expressed genes (DEGs) were identified from the PRJNA1147595 and GSE2513 datasets, revealing 2437 DEGs and 172 differentially regulated genes (DRGs), respectively. There were 52 co-DEGs shared by both datasets, and four candidate biomarkers (FN1, SPRR1B, SERPINB13, EGR2) with potential diagnostic value were identified through machine learning algorithms. Single-sample GSEA demonstrated increased Th2 cell infiltration and decreased CD8 + T cell presence in pterygium tissues, suggesting a crucial role of the immune microenvironment in pterygium pathogenesis. Analysis of the GSE51995 dataset and qPCR results revealed significantly higher expression levels of FN1 and SPRR1B in pterygium tissues compared to conjunctival tissues, but SERPINB13 and EGR2 expression levels were not statistically significant. Furthermore, we identified four candidate drugs targeting the two feature genes FN1 and SPRR1B. This study provides valuable insights into the molecular characteristics and immune microenvironment of pterygium. The identification of potential biomarkers FN1 and SPRR1B highlights their significance in pterygium pathogenesis and lays a foundation for further exploration aimed at integrating these findings into clinical practice.},
}

Humans
*Pterygium/genetics/immunology/pathology
Gene Expression Profiling
Computational Biology/methods
Conjunctiva/pathology/metabolism/immunology
Transcriptome
*Gene Expression Regulation
Biomarkers/metabolism

@article {pmid40163742,
year = {2025},
author = {Ghassemi Nedjad, C and Bolteau, M and Bourneuf, L and Paulevé, L and Frioux, C},
title = {Seed2LP: seed inference in metabolic networks for reverse ecology applications.},
journal = {Bioinformatics (Oxford, England)},
volume = {41},
number = {4},
pages = {},
doi = {10.1093/bioinformatics/btaf140},
pmid = {40163742},
issn = {1367-4811},
support = {//French National Research Agency/ ; },
mesh = {*Metabolic Networks and Pathways ; *Software ; *Computational Biology/methods ; Models, Biological ; Algorithms ; },
abstract = {MOTIVATION: A challenging problem in microbiology is to determine nutritional requirements of microorganisms and culture them, especially for the microbial dark matter detected solely with culture-independent methods. The latter foster an increasing amount of genomic sequences that can be explored with reverse ecology approaches to raise hypotheses on the corresponding populations. Building upon genome-scale metabolic networks (GSMNs) obtained from genome annotations, metabolic models predict contextualized phenotypes using nutrient information.

RESULTS: We developed the tool Seed2LP, addressing the inverse problem of predicting source nutrients, or seeds, from a GSMN and a metabolic objective. The originality of Seed2LP is its hybrid model, combining a scalable and discrete Boolean approximation of metabolic activity, with the numerically accurate flux balance analysis (FBA). Seed inference is highly customizable, with multiple search and solving modes, exploring the search space of external and internal metabolites combinations. Application to a benchmark of 107 curated GSMNs highlights the usefulness of a logic modelling method over a graph-based approach to predict seeds, and the relevance of hybrid solving to satisfy FBA constraints. Focusing on the dependency between metabolism and environment, Seed2LP is a computational support contributing to address the multifactorial challenge of culturing possibly uncultured microorganisms.

Seed2LP is available on https://github.com/bioasp/seed2lp.},
}

*Metabolic Networks and Pathways
*Software
*Computational Biology/methods
Models, Biological
Algorithms

@article {pmid40246854,
year = {2025},
author = {He, B and Zhang, H and Qin, T and Shi, B and Wang, Q and Dong, W},
title = {A simultaneous EEG and eye-tracking dataset for remote sensing object detection.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {651},
pmid = {40246854},
issn = {2052-4463},
support = {42230103//National Science Foundation of China | Key Programme/ ; },
mesh = {*Electroencephalography ; Humans ; *Eye-Tracking Technology ; *Remote Sensing Technology ; Artificial Intelligence ; },
abstract = {We introduce the EEGET-RSOD, a simultaneous electroencephalography (EEG) and eye-tracking dataset for remote sensing object detection. This dataset contains EEG and eye-tracking data when 38 remote sensing experts located specific objects in 1,000 remote sensing images within a limited time frame. This task reflects the typical cognitive processes associated with human visual search and object identification in remote sensing imagery. To our knowledge, EEGET-RSOD is the first publicly available dataset to offer synchronized eye-tracking and EEG data for remote sensing images. This dataset will not only advance the study of human visual cognition in real-world environment, but also bridge the gap between human cognition and artificial intelligence, enhancing the interpretability and reliability of AI models in geospatial applications.},
}

*Electroencephalography
Humans
*Eye-Tracking Technology
*Remote Sensing Technology
Artificial Intelligence

@article {pmid40245396,
year = {2025},
author = {Melia, R and Musacchio Schafer, K and Rogers, ML and Wilson-Lemoine, E and Joiner, TE},
title = {The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review.},
journal = {Journal of medical Internet research},
volume = {27},
number = {},
pages = {e63192},
doi = {10.2196/63192},
pmid = {40245396},
issn = {1438-8871},
mesh = {Humans ; *Ecological Momentary Assessment ; *Artificial Intelligence ; *Suicide ; *Suicidal Ideation ; },
abstract = {BACKGROUND: Ecological momentary assessment (EMA) captures dynamic processes suitable to the study of suicidal ideation and behaviors. Artificial intelligence (AI) has increasingly been applied to EMA data in the study of suicidal processes.

OBJECTIVE: This review aims to (1) synthesize empirical research applying AI strategies to EMA data in the study of suicidal ideation and behaviors; (2) identify methodologies and data collection procedures used, suicide outcomes studied, AI applied, and results reported; and (3) develop a standardized reporting framework for researchers applying AI to EMA data in the future.

METHODS: PsycINFO, PubMed, Scopus, and Embase were searched for published articles applying AI to EMA data in the investigation of suicide outcomes. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were used to identify studies while minimizing bias. Quality appraisal was performed using CREMAS (adapted STROBE [Strengthening the Reporting of Observational Studies in Epidemiology] Checklist for Reporting Ecological Momentary Assessment Studies).

RESULTS: In total, 1201 records were identified across databases. After a full-text review, 12 (1%) articles, comprising 4398 participants, were included. In the application of AI to EMA data to predict suicidal ideation, studies reported mean area under the curve (0.74-0.86), sensitivity (0.64-0.81), specificity (0.73-0.86), and positive predictive values (0.72-0.77). Studies met between 4 and 13 of the 16 recommended CREMAS reporting standards, with an average of 7 items met across studies. Studies performed poorly in reporting EMA training procedures and treatment of missing data.

CONCLUSIONS: Findings indicate the promise of AI applied to self-report EMA in the prediction of near-term suicidal ideation. The application of AI to EMA data within suicide research is a burgeoning area hampered by variations in data collection and reporting procedures. The development of an adapted reporting framework by the research team aims to address this.

TRIAL REGISTRATION: Open Science Framework (OSF); https://doi.org/10.17605/OSF.IO/NZWUJ and PROSPERO CRD42023440218; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023440218.},
}

Humans
*Ecological Momentary Assessment
*Artificial Intelligence
*Suicide
*Suicidal Ideation

@article {pmid40240877,
year = {2025},
author = {Li, W and Chu, C and Zhang, T and Sun, H and Wang, S and Liu, Z and Wang, Z and Li, H and Li, Y and Zhang, X and Geng, Z and Wang, Y and Li, Y and Zhang, H and Fan, W and Wang, Y and Xu, X and Cheng, L and Zhang, D and Xiong, Y and Li, H and Zhou, B and Guan, Q and Deng, CH and Han, Y and Ma, H and Han, Z},
title = {Pan-genome analysis reveals the evolution and diversity of Malus.},
journal = {Nature genetics},
volume = {},
number = {},
pages = {},
pmid = {40240877},
issn = {1546-1718},
support = {CARS-27//Earmarked Fund for China Agriculture Research System/ ; 32172522//National Natural Science Foundation of China (National Science Foundation of China)/ ; 32422077//National Natural Science Foundation of China (National Science Foundation of China)/ ; 2019M661344//China Postdoctoral Science Foundation/ ; },
abstract = {Malus Mill., a genus of temperate perennial trees with great agricultural and ecological value, has diversified through hybridization, polyploidy and environmental adaptation. Limited genomic resources for wild Malus species have hindered the understanding of their evolutionary history and genetic diversity. We sequenced and assembled 30 high-quality Malus genomes, representing 20 diploids and 10 polyploids across major evolutionary lineages and geographical regions. Phylogenomic analyses revealed ancient gene duplications and conversions, while six newly defined genome types, including an ancestral type shared by polyploid species, facilitated the detection of strong signals for extensive introgressions. The graph-based pan-genome captured shared and species-specific structural variations, facilitating the development of a molecular marker for apple scab resistance. Our pipeline for analyzing selective sweep identified a mutation in MdMYB5 having reduced cold and disease resistance during domestication. This study advances Malus genomics, uncovering genetic diversity and evolutionary insights while enhancing breeding for desirable traits.},
}

@article {pmid40179878,
year = {2025},
author = {Li, Y and Liu, X and Guo, L and Han, K and Fang, S and Wan, X and Wang, D and Xu, X and Jiang, L and Fan, G and Xu, M},
title = {SpaGRN: Investigating spatially informed regulatory paths for spatially resolved transcriptomics data.},
journal = {Cell systems},
volume = {16},
number = {4},
pages = {101243},
doi = {10.1016/j.cels.2025.101243},
pmid = {40179878},
issn = {2405-4720},
mesh = {Animals ; *Transcriptome/genetics ; *Gene Expression Profiling/methods ; Humans ; *Gene Regulatory Networks/genetics ; Drosophila/genetics ; Computational Biology/methods ; },
abstract = {Cells spatially organize into distinct cell types or functional domains through localized gene regulatory networks. However, current spatially resolved transcriptomics analyses fail to integrate spatial constraints and proximal cell influences, limiting the mechanistic understanding of tissue organization. Here, we introduce SpaGRN, a statistical framework that reconstructs cell-type- or functional-domain-specific, dynamic, and spatial regulons by coupling intracellular spatial regulatory causality with extracellular signaling path information. Benchmarking across synthetic and real datasets demonstrates SpaGRN's superior precision over state-of-the-art tools in identifying context-dependent regulons. Applied to diverse spatially resolved transcriptomics platforms (Stereo-seq, STARmap, MERFISH, CosMx, Slide-seq, and 10x Visium), complex cancerous samples, and 3D datasets of developing Drosophila embryos and larvae, SpaGRN not only provides a versatile toolkit for decoding receptor-mediated spatial regulons but also reveals spatiotemporal regulatory mechanisms underlying organogenesis and inflammation.},
}

Animals
*Transcriptome/genetics
*Gene Expression Profiling/methods
Humans
*Gene Regulatory Networks/genetics
Drosophila/genetics
Computational Biology/methods

@article {pmid40238767,
year = {2025},
author = {Rodrigues, RDS and Cionek, VM and Barreto, AS and Branco, JO},
title = {Seabird strandings on the Brazilian coast: What influences spatial and temporal patterns?.},
journal = {PloS one},
volume = {20},
number = {4},
pages = {e0317335},
doi = {10.1371/journal.pone.0317335},
pmid = {40238767},
issn = {1932-6203},
mesh = {Animals ; Brazil ; *Animal Migration/physiology ; *Birds/physiology ; Seasons ; Spatio-Temporal Analysis ; Ecosystem ; Biodiversity ; },
abstract = {Seabirds exhibit physiological adaptations that allow them to forage in the marine environment and undertake long-distance migrations during non-reproductive periods. As a result, they face various natural and anthropogenic pressures, which can lead to extreme fatigue and even death. Stranded bodies that float in the sea can wash ashore, providing valuable ecological information. This study aimed to analyze seabird strandings along the south and southeast coasts of Brazil between 2016 and 2019, focusing on spatiotemporal and potential environmental and anthropogenic influences. Using data from the Santos Basin Beach Monitoring Project, we calculated ecological indices of abundance, richness, and diversity for the entire seabird community and separately by migratory behavior (resident, southern migratory, northern migratory). Statistical modeling revealed a strong decreasing trend in strandings from south to north, with higher events on the southern coast (Santa Catarina and Paraná) and lower on the southeast coast (São Paulo). Resident species and northern migratory species showed peak strandings in spring, while southern migratory peaked in winter. These spatial and temporal patterns reflected birds' home ranges, reproductive cycles, and migratory behaviors. Environmental variables influenced strandings differently depending on species migration behavior and ecological indices, highlighting the role of oceanographic processes in carcass drift and the impact of climatic events on species mortality. This study is the first to demonstrate a spatiotemporal pattern of seabird strandings on the Brazilian coast, providing valuable insights into seabird dynamics in the Santos Basin and offering important data for conservation efforts.},
}

Animals
Brazil
*Animal Migration/physiology
*Birds/physiology
Seasons
Spatio-Temporal Analysis
Ecosystem
Biodiversity

@article {pmid40238239,
year = {2025},
author = {Sutori, S and Eliasson, ET and Mura, F and Ortiz, V and Catrambonephd, V and Hadlaczky, G and Todorov, I and Alfeo, AL and Cardi, V and Cimino, MGCA and Mioni, G and Raya, MA and Valenza, G and Carli, V and Gentili, C},
title = {Acceptability, Usability, and Insights Into Cybersickness Levels of a Novel Virtual Reality Environment for the Evaluation of Depressive Symptoms: Exploratory Observational Study.},
journal = {JMIR formative research},
volume = {9},
number = {},
pages = {e68132},
doi = {10.2196/68132},
pmid = {40238239},
issn = {2561-326X},
mesh = {Humans ; *Virtual Reality ; Male ; Female ; Adult ; *Depression/diagnosis/psychology ; Young Adult ; Italy ; Surveys and Questionnaires ; User-Computer Interface ; Pilot Projects ; Self Report ; },
abstract = {BACKGROUND: There is a clear need for enhanced mental health assessment, depressive symptom (DS) evaluation being no exception. A promising approach to this aim is using virtual reality (VR), which entails the potential of adding a wider set of assessment domains with enhanced ecological validity. However, whilst several studies have used VR for both diagnostic and treatment purposes, its acceptance, in particular how exposure to virtual environments affects populations with psychiatric conditions remains unknown.

OBJECTIVE: This study aims to report on the acceptability, usability, and cybersickness levels of a pilot VR environment designed for the purpose of differentiating between individuals with DSs.

METHODS: The exploratory study, conducted in Italy, included 50 healthy controls and 50 young adults with mild-to-moderate DSs (without the need for a formal diagnosis). The study used an observational design with approximately 30 minutes of VR exposure followed by a self-report questionnaire battery. The battery included a questionnaire based on the Theoretical Framework of Acceptability, the System Usability Scale as well as the Simulator Sickness Questionnaire.

RESULTS: Results indicate that the majority found VR acceptable for the purposes of mental health screening and treatment. However, for diagnostics, there was a clear preference for VR to be used by mental health professionals as a supplementary tool, as opposed to a stand-alone solution. In practice, following exposure to the pilot VR environment, generally, good levels of acceptability and usability were reported, but areas in need of improvement were identified (such as self-efficacy). Self-reported cybersickness levels were comparable to literature averages but were considerably higher among those with DSs.

CONCLUSIONS: These findings raise questions about the potential interplay between underlying somatic symptoms of depression and VR-induced cybersickness and call for more attention from the scientific community both in terms of methodology as well as potential clinical and theoretical implications. Conclusively, user support indicates a potential for VR to aid mental health assessment, but further research is needed to understand how exposure to virtual environments might affect populations with varying severity and other forms of psychiatric symptoms.

RR2-10.1186/ISRCTN16396369.},
}

Humans
*Virtual Reality
Male
Female
Adult
*Depression/diagnosis/psychology
Young Adult
Italy
Surveys and Questionnaires
User-Computer Interface
Pilot Projects
Self Report

@article {pmid40235568,
year = {2025},
author = {Davies, H and Noble, PJ and Fins, IS and Pinchbeck, G and Singleton, D and Pirmohamed, M and Killick, D},
title = {Developing electronic health records as a source of real-world data for veterinary pharmacoepidemiology.},
journal = {Frontiers in veterinary science},
volume = {12},
number = {},
pages = {1550468},
pmid = {40235568},
issn = {2297-1769},
abstract = {Spontaneous reporting of adverse events (AEs) by veterinary professionals and the public is the cornerstone of post-marketing safety surveillance for veterinary medicinal products (VMPs). However, studies suggest that most veterinary AEs remain unreported. Veterinary medicine regulators, including the United Kingdom Veterinary Medicines Directorate and the European Medicines Agency, have included the exploration of big data utilization to support pharmacovigilance efforts in their regulatory strategies. In this study, we describe the application of veterinary electronic healthcare records (EHRs) from the SAVSNET veterinary first opinion informatics system to conduct pharmacoepidemiological analyses. Five VMP-AE pairs were selected for investigation in a proof-of-concept study, where drug exposure was identified from semi-structured treatment data and AEs from the unstructured free-text clinical narrative. Dictionaries were developed to identify AEs based on standard terminology. The precision of these dictionaries improved when they were expanded using word vectorization and expert opinion. A key strength of first-opinion EHR datasets is their ability to enable cohort studies and facilitate calculations of absolute incidence and relative risk. Thus, we demonstrate that unstructured free-text clinical narratives can be used to identify outcomes for veterinary pharmacoepidemiological studies and, consequently, support and expand pharmacovigilance efforts based on spontaneous AE reports.},
}

@article {pmid40232549,
year = {2025},
author = {Xu, F and Jiang, C and Liu, Q and Yang, R and Li, W and Wei, Y and Bao, L and Tong, H},
title = {Source identification of polycyclic aromatic hydrocarbons (PAHs) in river sediments within a hilly agricultural watershed of Southwestern China: an integrated study based on Pb isotopes and PMF method.},
journal = {Environmental geochemistry and health},
volume = {47},
number = {5},
pages = {174},
pmid = {40232549},
issn = {1573-2983},
support = {NO. 2023YFC3705904//National Key Research and Development Plan of China/ ; NO. 2023YFC3705904//National Key Research and Development Plan of China/ ; NO. 2021-043//Stationing Point Tracking Research of Ecological Barrier Construction in the upper Yangtze River of Sichuan Province/ ; NO. 2021-043//Stationing Point Tracking Research of Ecological Barrier Construction in the upper Yangtze River of Sichuan Province/ ; NO. 41977169//National Natural Science Foundation of China/ ; NO. 41977169//National Natural Science Foundation of China/ ; SKLGP2022Z009//State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project/ ; SKLGP2022Z009//State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project/ ; },
mesh = {China ; *Polycyclic Aromatic Hydrocarbons/analysis ; *Geologic Sediments/chemistry/analysis ; *Rivers/chemistry ; *Water Pollutants, Chemical/analysis ; *Environmental Monitoring/methods ; *Lead/analysis ; Agriculture ; Isotopes/analysis ; Geographic Information Systems ; },
abstract = {Polycyclic aromatic hydrocarbons (PAHs) in sediments represent a pervasive environmental issue that poses significant ecological risks. This study employed a combination of geographic information systems, diagnostic ratios, correlation analysis, Pb isotope ratios, and positive matrix factorization (PMF) to elucidate the potential sources of 16 priority PAHs in river sediments from a hilly agricultural watershed in Southwestern China. The results indicated that PAHs concentrations ranged from 55.9 to 6083.5 ng/g, with a mean value of 1582.1 ± 1528.9 ng/g, reflecting high levels of contamination throughout the watershed. The predominant class of PAHs identified was high molecular weight (HMW) PAHs. Diagnostic ratios and correlation analysis suggested that the presence of PHAs is likely attributed primarily to emissions from industrial dust and combustion of coal and petroleum. Furthermore, correlation analysis revealed a significant association between Pb and PAHs, indicating potential shared sources for both pollutants. Additionally, Pb isotopic analysis demonstrated that aerosols may be the primary contributor to Pb accumulation within this environment. Given the similarity in origins between Pb and PAHs, it can be inferred that PAHs predominantly originate from aerosols associated with coal combustion, industrial dust emissions, and vehicle exhaust. This inference is further supported by PMF results which yielded consistent findings with those derived from Pb isotopes analysis. Moreover, PMF estimated three major sources contributing 57.63%, 23.57%, and 18.80%, respectively. These findings provide novel insights into identifying the sources of PAHs in river sediments within hilly agricultural watersheds in Southwest China, thereby establishing a scientific foundation for enhancing environmental quality in agricultural regions.},
}

China
*Polycyclic Aromatic Hydrocarbons/analysis
*Geologic Sediments/chemistry/analysis
*Rivers/chemistry
*Water Pollutants, Chemical/analysis
*Environmental Monitoring/methods
*Lead/analysis
Agriculture
Isotopes/analysis
Geographic Information Systems

@article {pmid40198742,
year = {2025},
author = {Choi, H and Lee, CH},
title = {The impact of climate change on ecology of tick associated with tick-borne diseases.},
journal = {PLoS computational biology},
volume = {21},
number = {4},
pages = {e1012903},
doi = {10.1371/journal.pcbi.1012903},
pmid = {40198742},
issn = {1553-7358},
mesh = {*Climate Change ; *Tick-Borne Diseases/transmission/epidemiology/prevention & control ; Animals ; *Ticks/physiology ; Humans ; *Models, Biological ; Population Dynamics ; Computational Biology ; },
abstract = {Infectious diseases have caused significant economic and human losses worldwide. Growing concerns exist regarding climate change potentially exacerbating the spread of these diseases, particularly those transmitted by vectors such as ticks and mosquitoes. Tick-borne diseases, such as Severe Fever with Thrombocytopenia Syndrome (SFTS), can be particularly detrimental to elderly and immunocompromised individuals. This study utilizes a mathematical modeling approach to predict changes in tick populations under climate change scenarios, incorporating tick ecology and climate-sensitive parameters. Sensitivity analysis is performed to investigate the factors influencing tick population dynamics. The study further explores effective tick control strategies and their cost-effectiveness in the context of climate change. The findings indicate that the efficacy of tick population reduction varies greatly depending on the timing of control measure implementation and the effectiveness of the control strategies exhibits a strong dependence on the duration of implementation. Furthermore, as climate change intensifies, tick populations are projected to increase, leading to a rise in control costs and SFTS cases. In light of these findings, identifying and implementing appropriate control measures to manage tick populations under climate change will be increasingly crucial.},
}

*Climate Change
*Tick-Borne Diseases/transmission/epidemiology/prevention & control
Animals
*Ticks/physiology
Humans
*Models, Biological
Population Dynamics
Computational Biology

@article {pmid40229317,
year = {2025},
author = {Sabadel, AJM and Riekenberg, P and Ayala-Diaz, M and Belk, MC and Bennett, J and Bode, A and Bury, SJ and Dabouineau, L and Delgado, J and Finucci, B and García-Seoane, R and Giari, L and Henkens, J and IJsseldijk, LL and Joling, T and Kerr-Hislop, O and MacLeod, CD and Meyer, L and McGill, RAR and Negro, E and Quillfeldt, P and Reed, C and Roberts, C and Sayyaf Dezfuli, B and Schmidt, O and Sturbois, A and Suchomel, AD and Thieltges, DW and van der Lingen, CD and van der Meer, MTJ and Viana, IG and Weston, M and Willis, TJ and Filion, A},
title = {Establishing a comprehensive host-parasite stable isotope database to unravel trophic relationships.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {623},
pmid = {40229317},
issn = {2052-4463},
support = {CAWX2207//Ministry of Business, Innovation and Employment (MBIE)/ ; },
mesh = {*Host-Parasite Interactions ; Animals ; Nitrogen Isotopes/analysis ; Carbon Isotopes ; *Databases, Factual ; Sulfur Isotopes/analysis ; *Parasites ; },
abstract = {Over the past decades, stable isotopes have been infrequently used to characterise host-parasite trophic relationships. This is because we have not yet identified consistent patterns in stable isotope values between parasites and their host tissues across species, which are crucial for understanding host-parasite dynamics. To address this, we initiated a worldwide collaboration to establish a unique database of stable isotope values of novel host-parasite pairs, effectively doubling the existing data in published literature. This database includes nitrogen, carbon, and sulphur stable isotope values. We present 3213 stable isotope data entries, representing 586 previously unpublished host-parasite pairs. Additionally, while existing literature was particularly limited in sulphur isotope values, we tripled information on this crucial element. By publishing unreported host-parasite pairs from previously unsampled areas of the world and using appropriate host tissues, our dataset stands unparalleled. We anticipate that end-users will utilise our database to uncover generalisable patterns, deepening our understanding of the complexities of parasite-host relationships and driving future research efforts in stable isotope parasitology.},
}

*Host-Parasite Interactions
Animals
Nitrogen Isotopes/analysis
Carbon Isotopes
*Databases, Factual
Sulfur Isotopes/analysis
*Parasites

@article {pmid40229216,
year = {2025},
author = {Zhang, X and Lu, B and Jin, LN and Yang, S and Wang, C and Tai, J and Li, D and Chen, J},
title = {Emission Dynamics and Public Health Implications of Airborne Pathogens and Antimicrobial Resistance from Urban Waste Collection Facilities.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.4c12108},
pmid = {40229216},
issn = {1520-5851},
abstract = {Airborne pathogens and antimicrobial resistance (AMR) present significant global health threats. Household waste collection facilities (WCFs), crucial initial nodes in urban waste management systems, have been understudied in regards to their role in emitting these hazards. This study investigated the abundance, composition, sources, driving mechanisms, and health risks associated with pathogens and AMR originating from WCFs in a major city, using culture-based analysis, high-throughput sequencing, and health risk modeling, respectively. The atmospheric escape rates of culturable bacteria (43.4%), fungi (71.7%), and antibiotic-resistant bacteria (ARB) (43.7%) were estimated based on the concentration differences between the interior and exterior of the WCFs by using SourceTracker2 analysis. Health risk assessments showed that annual infection risks for waste-handling workers ranged from 0.194 to 0.489, far exceeding the World Health Organization's acceptable limit of 10[-4]. Community exposure risks were notable up to 220 m downwind from WCFs, marking the maximum extent of pathogen dispersion. Our analysis suggests that approximately 6.3% of the megacity's area (equivalent to 400 km[2]) is within potential risk zones influenced by WCF emissions. These results underscore the critical need to evaluate and mitigate the public health risks posed by airborne pathogens and AMR emitted from WCFs in megacities globally.},
}

@article {pmid40227267,
year = {2025},
author = {Cassaro, A and Pacelli, C and Fanelli, G and Baqué, M and Maturilli, A and Leo, P and Lelli, V and de Vera, JP and Onofri, S and Timperio, A},
title = {Biomarker Preservation in Antarctic Sandstones after Prolonged Space Exposure Outside the International Space Station During the ESA EXPOSE-E Lichens and Fungi Experiment.},
journal = {Astrobiology},
volume = {},
number = {},
pages = {},
doi = {10.1089/ast.2024.0068},
pmid = {40227267},
issn = {1557-8070},
abstract = {A primary aim of current and future space exploration missions is the detection and identification of chemical and biological indicators of life, namely biomarkers, on Mars. The Mars Sample Return NASA-ESA program will bring to Earth samples of martian soil, acquired from up to 7 cm depth. The ESA Rosalind Franklin rover will search for signs of life in the subsurface (down to a depth of 2 meters), given the highly radioactive conditions on Mars' surface, which are not ideal for life as we know it and for the preservation of its traces. In the frame of the Lichens and Fungi Experiment, small fragments of Antarctic sandstones colonized by cryptoendolithic microbial communities were exposed to space and simulated martian conditions in low Earth orbit for 18 months, aboard the EXPOSE-E payload. Through the use of Raman and infrared spectroscopies, as well as a metabolomic approach, we aimed to detect organic compounds in a quartz mineral matrix. The results show that pigments, such as melanin, carotenoids, and chlorophyll, lipids, and amino acids, maintained their stability within minerals under simulated martian conditions in space, which makes them ideal biomarkers for the exploration of putative life on Mars.},
}

@article {pmid40226649,
year = {2024},
author = {Tamm, J and Takano, K and Just, L and Ehring, T and Rosenkranz, T and Kopf-Beck, J},
title = {Ecological Momentary Assessment versus Weekly Questionnaire Assessment of Change in Depression.},
journal = {Depression and anxiety},
volume = {2024},
number = {},
pages = {9191823},
pmid = {40226649},
issn = {1520-6394},
mesh = {Humans ; *Ecological Momentary Assessment ; Male ; Female ; Adult ; Middle Aged ; Surveys and Questionnaires/standards ; *Depression/diagnosis/therapy ; *Outcome Assessment, Health Care/methods ; Reproducibility of Results ; Pessimism/psychology ; Psychiatric Status Rating Scales ; Rumination, Cognitive ; },
abstract = {OBJECTIVE: Ecological momentary assessment (EMA) is increasingly used to monitor depressive symptoms in clinical trials, but little is known about the comparability of its outcomes to those of clinical interviews and questionnaires. In our study, we administered EMA and questionnaires to measure change in depressive symptoms and repetitive negative thinking (RNT) in a clinical trial and investigated (a) the size of intervention effects associated with both techniques and (b) their validity in predicting clinical interview outcomes (i.e., global functioning).

MATERIALS AND METHODS: Seventy-one depressed patients were randomly assigned to one of three psychological interventions. The EMA comprised a concise item set (four items per scale) and was administered three times per day during a 7-week intervention period. Conversely, questionnaires were assessed weekly (WQA), encompassing their full sets of items of depressive symptoms and RNT.

RESULTS: While EMA excelled in detecting significant intervention effects, WQA demonstrated greater strength in predicting clinician ratings of global functioning. Additionally, we observed significant differences in time effects (slopes) between the two techniques. WQA scores decreased steeper over time and were more extreme, e.g., higher at baseline and lower postintervention, than EMA scores.

CONCLUSIONS: Although clinical interviews, questionnaires, and EMA outcomes are related, they assess changes in depression differently. EMA may be more sensitive to intervention effects, but all three methods harbor potential bias, raising validity and reliability questions. Therefore, to enhance the validity and reliability of clinical trial assessments, we emphasize the importance of EMA approaches that combine subjective self-reports with objectively measured behavioral markers. This trial is registered with osf.io/9fuhn.},
}

Humans
*Ecological Momentary Assessment
Male
Female
Adult
Middle Aged
Surveys and Questionnaires/standards
*Depression/diagnosis/therapy
*Outcome Assessment, Health Care/methods
Reproducibility of Results
Pessimism/psychology
Psychiatric Status Rating Scales
Rumination, Cognitive

@article {pmid40223273,
year = {2025},
author = {Yang, SY and Han, SM and Lee, JY and Kim, KS and Lee, JE and Lee, DW},
title = {Advancing Gut Microbiome Research: The Shift from Metagenomics to Multi-Omics and Future Perspectives.},
journal = {Journal of microbiology and biotechnology},
volume = {35},
number = {},
pages = {e2412001},
doi = {10.4014/jmb.2412.12001},
pmid = {40223273},
issn = {1738-8872},
mesh = {Humans ; *Gastrointestinal Microbiome/genetics ; *Metagenomics/methods/trends ; *Metabolomics/methods ; *Genomics/methods ; Proteomics/methods ; Precision Medicine ; Host Microbial Interactions ; Multiomics ; },
abstract = {The gut microbiome, a dynamic and integral component of human health, has co-evolved with its host, playing essential roles in metabolism, immunity, and disease prevention. Traditional microbiome studies, primarily focused on microbial composition, have provided limited insights into the functional and mechanistic interactions between microbiota and their host. The advent of multi-omics technologies has transformed microbiome research by integrating genomics, transcriptomics, proteomics, and metabolomics, offering a comprehensive, systems-level understanding of microbial ecology and host-microbiome interactions. These advances have propelled innovations in personalized medicine, enabling more precise diagnostics and targeted therapeutic strategies. This review highlights recent breakthroughs in microbiome research, demonstrating how these approaches have elucidated microbial functions and their implications for health and disease. Additionally, it underscores the necessity of standardizing multi-omics methodologies, conducting large-scale cohort studies, and developing novel platforms for mechanistic studies, which are critical steps toward translating microbiome research into clinical applications and advancing precision medicine.},
}

Humans
*Gastrointestinal Microbiome/genetics
*Metagenomics/methods/trends
*Metabolomics/methods
*Genomics/methods
Proteomics/methods
Precision Medicine
Host Microbial Interactions
Multiomics

@article {pmid40222989,
year = {2025},
author = {Mu, K and Wang, Z and Tang, J and Zhang, J and Han, W},
title = {The satisfaction of ecological environment in sports public services by artificial intelligence and big data.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {12748},
pmid = {40222989},
issn = {2045-2322},
mesh = {Humans ; *Artificial Intelligence ; *Big Data ; *Sports ; Surveys and Questionnaires ; Neural Networks, Computer ; *Personal Satisfaction ; },
abstract = {In order to gain a more accurate understanding and enhance the relationship between the fitness ecological environment and artificial intelligence (AI)-driven sports public services, this study combines a Convolutional Neural Network (CNN) approach based on residual modules and attention mechanisms with the SERVQUAL evaluation model. The method employed involves the analysis of big data collected from questionnaire surveys, literature reviews, and interviews. This study critically examines the impact of advanced AI technologies on residents' satisfaction with the fitness ecological environment in sports public services and conducts theoretical analysis of the obtained data. The results show that the quality of sports public services empowered by AI significantly influences residents' satisfaction with the fitness ecological environment, such as running, swimming, ball games and other sports with high requirements for sports service quality and ecological environment. Only the good public sports service quality matching with them can meet the needs of the ecological environment for fitness, and stimulate the enthusiasm of the people for fitness. The study also shows that swimming, running and all kinds of ball games account for the largest proportion of all sports. To sum up, the satisfaction of residents' fitness ecological environment is greatly affected by the quality of public sports services, which is mainly reflected in the good and perfect sports environment and facilities that can provide residents with a wealth of fitness options, greatly improving the sports ecological environment. This study is helpful to realize the relationship between sports public service and sports ecological environment. It contributes to understanding the role of AI and deep learning in enhancing the correlation between sports public service and the ecological environment of sports.},
}

Humans
*Artificial Intelligence
*Big Data
*Sports
Surveys and Questionnaires
Neural Networks, Computer
*Personal Satisfaction

@article {pmid39031316,
year = {2025},
author = {Chakraborty, K and Saha, S and Mandal, D},
title = {Hydrological modelling using SWAT for the assessment of streamflow dynamics in the Ganga River basin.},
journal = {Environmental science and pollution research international},
volume = {32},
number = {16},
pages = {10258-10278},
doi = {10.1007/s11356-024-34385-5},
pmid = {39031316},
issn = {1614-7499},
mesh = {*Rivers ; Hydrology ; *Models, Theoretical ; *Environmental Monitoring/methods ; Geographic Information Systems ; *Water Movements ; Rain ; },
abstract = {Growing concerns over water availability arise from the problems of population growth, rapid industrialization, and human interferences, necessitating accurate streamflow estimation at the river basin scale. It is extremely challenging to access stream flow data of a transboundary river at a spatio-temporal scale due to data unavailability caused by water conflicts for assessing the water availability.Primarily, this estimation is done using rainfall-runoff models. The present study addresses this challenge by applying the soil and water assessment tool (SWAT) for hydrological modelling, utilizing high-resolution geospatial inputs. Hydrological modelling using remote sensing and GIS (Geographic Information System) through this model is initiated to assess the water availability in the Ganga River basin at different locations. The outputs are calibrated and validated using the observed station data from Global Runoff Data Centre (GRDC). To check the performance of the model, Nash-Sutcliffe efficiency (NSE), percent bias (PBIAS), coefficient of determination (R[2]), and RSR efficacy measures are initiated in ten stations using the observed and simulated stream flow data. The R[2] values of eight stations range from 0.82 to 0.93, reflecting the efficacy of the model in rainfall-runoff modelling. Moreover, the results obtained from this hydrological modelling can serve as valuable resources for water resource planners and geographers for future reference.},
}

*Rivers
Hydrology
*Models, Theoretical
*Environmental Monitoring/methods
Geographic Information Systems
*Water Movements
Rain

@article {pmid40218748,
year = {2025},
author = {Meng, J and Wang, Y and Liu, W and Yang, X and He, P},
title = {Research on the Development of an Inland Lake Bathymetry Estimation Model Based on Multispectral Data.},
journal = {Sensors (Basel, Switzerland)},
volume = {25},
number = {7},
pages = {},
pmid = {40218748},
issn = {1424-8220},
support = {41901285//the National Natural Science Foundation of China/ ; },
abstract = {Lakes play a crucial role in regional economic development and ecological construction. The variation in lake water depth has a direct impact on local economic activities, such as agriculture, livestock farming, and fisheries, as well as the stability of hydrological conditions and water ecology. In response to the lack of unified evaluation in the application of remote sensing water-depth estimation models for inland lakes, this study systematically compares the performance of numerical models and machine learning models for water-depth estimation in inland lakes. A machine learning-based water-depth estimation model construction methodology suitable for inland lakes is proposed. This study introduces an innovative approach by integrating machine learning techniques with multispectral remote sensing data, improving the accuracy and applicability of water-depth estimation models for inland lakes. The results show the following: (1) The machine learning models based on random forest (RF), BP neural networks (BP), and AdaBoost demonstrate better performance (R[2] = 0.88, 0.72, and 0.61; MAE = 0.12 m, 0.24 m, and 0.31 m; RMSE = 0.32 m, 0.48 m, and 0.57 m) compared to the multi-band logarithmic ratio (MLR) model (R[2] = 0.59; MAE = 0.32 m; RMSE = 0.58 m); (2) the machine learning water-depth estimation model constructed based on this methodology exhibits improved precision (R[2] = 0.92, 0.89, and 0.80; MAE = 0.11 m, 0.17 m, and 0.25 m; RMSE = 0.25 m, 0.30 m, and 0.41 m). This suggests that the methodology is more suitable for the estimation of water depth in medium- and small-sized lakes; (3) The machine learning model developed in this study, combined with multispectral remote sensing imagery, achieves the accuracy required for the evaluation of water depths for practical water resources. This model enables the rapid acquisition of high-precision underwater three-dimensional topographic maps, providing more accurate and timely hydrological data support for lake water resource management.},
}

@article {pmid40213769,
year = {2025},
author = {Yi, S and Liu, Y and Wu, Q and Zhao, D and Li, Z and Peng, X and Liao, G and Wang, S},
title = {Glycosylation of oral bacteria in modulating adhesion and biofilm formation.},
journal = {Journal of oral microbiology},
volume = {17},
number = {1},
pages = {2486650},
pmid = {40213769},
issn = {2000-2297},
abstract = {BACKGROUND: Glycosylation is a ubiquitous biochemical process that covalently attaches glycans to proteins or lipids, which plays a pivotal role in modulating the structure and function of these biomolecules. This post-translational modification is prevalent in living organisms and intricately regulates various biological processes, including signaling transduction, recognition, and immune responses. In the oral environment, bacteria ingeniously use glycosylation to enhance their adhesion to oral surfaces, which is a key step in biofilm formation and subsequent development. This adhesion process is intimately associated with the onset and progression of oral diseases, including dental caries and periodontal disease.

OBJECTIVE: This review aims to describe the types and mechanisms of glycosylation in oral bacteria, and to understand the role of glycosylation in the adhesion, biofilm formation and virulence of oral bacteria.

METHODS: We reviewed articles on glycosylation in a variety of oral bacteria.

CONCLUSION: In cariogenic bacteria and periodontopathic pathogens, glycosylation facilitates adhesion and subsequent biofilm maturation on tooth surface.   Distinct glycosylation patterns in oral bacteria shape biofilm structure and function, influencing microbial interactions and community stability.   Pathogen-specific glycosylation signatures enhance virulence and ecological competitiveness, contributing to disease progression. Glycosylation plays a critical role in bacterial virulence and community  interactions, with significant implications for oral health and disease development.},
}

@article {pmid40213351,
year = {2025},
author = {Fehér, ÁM and Bajory, Z and Czimbalmos, N and Burián, K and Lázár, A and Rárosi, F and Köves, B},
title = {Single-dose vs prolonged antibiotic prophylaxis of fosfomycin for transrectal prostate biopsy: a single-center prospective, randomized, controlled trial.},
journal = {Prostate international},
volume = {13},
number = {1},
pages = {28-33},
pmid = {40213351},
issn = {2287-8882},
abstract = {BACKGROUND: Transrectal prostate biopsy is a commonly performed urological procedure in which antibiotic prophylaxis is recommended. Fluoroquinolone-type antibiotics are no longer acceptable in the EU. Fosfomycin-trometamol may be used, but there is no evidence regarding its ideal dose and administration time.

METHODS: Patients who underwent prostate biopsy between 2021 and 2023 were evaluated prospectively. 204 patients were randomized into two arms: 102 patients (Arm A) received a single-dose of fosfomycin-trometamol one hour before surgery, and 102 patients (Arm B) received one additional dose of fosfomycin-trometamol 48 hours after the first dose. Urine tests and questionnaires were administered during the postoperative period and the subsequent four weeks to identify any symptoms, infectious, or other complications.

RESULTS: There was no statistical difference in the rate of asymptomatic bacteriuria (4.90% (5) vs. 8.82% (9), P = 0.27) symptomatic urinary tract infection (0% (0) vs. 1.96% (2), P = 0.50), or febrile urinary tract infection (0% (0) vs. 0.98% (1), P = 1) between the groups. Only hematuria was significantly more common in Arm B (6.86% (7) vs. 16.67% (17), P = 0.03), whereas other complications did not differ significantly. There was no statistical difference in hospitalization (0.98% (1) vs. 2.94 (3), P = 0.62) or mortality rate (0 % (0) vs. 0.98% (1), P = 1). Sub-group analysis of previous antibiotic users showed no difference in terms of complications.

CONCLUSION: There is no significant difference in infectious complications between single-dose and prolonged prophylaxis of fosfomycin-trometamol for transrectal prostate biopsy. A single-dose of fosfomycin one hour before biopsy is an ideal choice with a better ecological impact compared with prolonged antibiotic prophylaxis for transrectal prostate biopsy.},
}

@article {pmid40211980,
year = {2025},
author = {Elena Schmitz, J and Rahmann, S},
title = {A comprehensive review and evaluation of species richness estimation.},
journal = {Briefings in bioinformatics},
volume = {26},
number = {2},
pages = {},
doi = {10.1093/bib/bbaf158},
pmid = {40211980},
issn = {1477-4054},
mesh = {*Biodiversity ; Computer Simulation ; Animals ; Computational Biology/methods ; Algorithms ; },
abstract = {MOTIVATION: The statistical problem of estimating the total number of distinct species in a population (or distinct elements in a multiset), given only a small sample, occurs in various areas, ranging from the unseen species problem in ecology to estimating the diversity of immune repertoires. Accurately estimating the true richness from very small samples is challenging, in particular for highly diverse populations with many rare species. Depending on the application, different estimation strategies have been proposed that incorporate explicit or implicit assumptions about either the species distribution or about the sampling process. These methods are scattered across the literature, and an extensive overview of their assumptions, methodology, and performance is currently lacking.

RESULTS: We comprehensively review and evaluate a variety of existing methods on real and simulated data with different compositions of rare and abundant species. Our evaluation shows that, depending on species composition, different methods provide the most accurate richness estimates. Simple methods based on the observed number of singletons yield accurate asymptotic lower bounds for several of the tested simulated species compositions, but tend to underestimate the true richness for heterogeneous populations and small samples containing 1% to 5% of the population. When the population size is known, upsampling (extrapolating) estimators such as PreSeq and RichnEst yield accurate estimates of the total species richness in a sample that is up to 10 times larger than the observed sample.

AVAILABILITY: Source code for data simulation and richness estimation is available at https://gitlab.com/rahmannlab/speciesrichness.},
}

*Biodiversity
Computer Simulation
Animals
Computational Biology/methods
Algorithms

@article {pmid40205052,
year = {2025},
author = {Yoo, D and Rhie, A and Hebbar, P and Antonacci, F and Logsdon, GA and Solar, SJ and Antipov, D and Pickett, BD and Safonova, Y and Montinaro, F and Luo, Y and Malukiewicz, J and Storer, JM and Lin, J and Sequeira, AN and Mangan, RJ and Hickey, G and Monfort Anez, G and Balachandran, P and Bankevich, A and Beck, CR and Biddanda, A and Borchers, M and Bouffard, GG and Brannan, E and Brooks, SY and Carbone, L and Carrel, L and Chan, AP and Crawford, J and Diekhans, M and Engelbrecht, E and Feschotte, C and Formenti, G and Garcia, GH and de Gennaro, L and Gilbert, D and Green, RE and Guarracino, A and Gupta, I and Haddad, D and Han, J and Harris, RS and Hartley, GA and Harvey, WT and Hiller, M and Hoekzema, K and Houck, ML and Jeong, H and Kamali, K and Kellis, M and Kille, B and Lee, C and Lee, Y and Lees, W and Lewis, AP and Li, Q and Loftus, M and Loh, YHE and Loucks, H and Ma, J and Mao, Y and Martinez, JFI and Masterson, P and McCoy, RC and McGrath, B and McKinney, S and Meyer, BS and Miga, KH and Mohanty, SK and Munson, KM and Pal, K and Pennell, M and Pevzner, PA and Porubsky, D and Potapova, T and Ringeling, FR and Rocha, JL and Ryder, OA and Sacco, S and Saha, S and Sasaki, T and Schatz, MC and Schork, NJ and Shanks, C and Smeds, L and Son, DR and Steiner, C and Sweeten, AP and Tassia, MG and Thibaud-Nissen, F and Torres-González, E and Trivedi, M and Wei, W and Wertz, J and Yang, M and Zhang, P and Zhang, S and Zhang, Y and Zhang, Z and Zhao, SA and Zhu, Y and Jarvis, ED and Gerton, JL and Rivas-González, I and Paten, B and Szpiech, ZA and Huber, CD and Lenz, TL and Konkel, MK and Yi, SV and Canzar, S and Watson, CT and Sudmant, PH and Molloy, E and Garrison, E and Lowe, CB and Ventura, M and O'Neill, RJ and Koren, S and Makova, KD and Phillippy, AM and Eichler, EE},
title = {Complete sequencing of ape genomes.},
journal = {Nature},
volume = {},
number = {},
pages = {},
pmid = {40205052},
issn = {1476-4687},
abstract = {The most dynamic and repetitive regions of great ape genomes have traditionally been excluded from comparative studies[1-3]. Consequently, our understanding of the evolution of our species is incomplete. Here we present haplotype-resolved reference genomes and comparative analyses of six ape species: chimpanzee, bonobo, gorilla, Bornean orangutan, Sumatran orangutan and siamang. We achieve chromosome-level contiguity with substantial sequence accuracy (<1 error in 2.7 megabases) and completely sequence 215 gapless chromosomes telomere-to-telomere. We resolve challenging regions, such as the major histocompatibility complex and immunoglobulin loci, to provide in-depth evolutionary insights. Comparative analyses enabled investigations of the evolution and diversity of regions previously uncharacterized or incompletely studied without bias from mapping to the human reference genome. Such regions include newly minted gene families in lineage-specific segmental duplications, centromeric DNA, acrocentric chromosomes and subterminal heterochromatin. This resource serves as a comprehensive baseline for future evolutionary studies of humans and our closest living ape relatives.},
}

@article {pmid40048849,
year = {2025},
author = {Bargheet, A and Noordzij, HT and Ponsero, AJ and Jian, C and Korpela, K and Valles-Colomer, M and Debelius, J and Kurilshikov, A and Pettersen, VK},
title = {Dynamics of gut resistome and mobilome in early life: a meta-analysis.},
journal = {EBioMedicine},
volume = {114},
number = {},
pages = {105630},
pmid = {40048849},
issn = {2352-3964},
mesh = {Humans ; *Gastrointestinal Microbiome/genetics ; Infant ; Metagenomics/methods ; Infant, Newborn ; Anti-Bacterial Agents/pharmacology/therapeutic use ; Metagenome ; Female ; Interspersed Repetitive Sequences ; *Drug Resistance, Bacterial/genetics ; Computational Biology/methods ; },
abstract = {BACKGROUND: The gut microbiota of infants harbours a higher proportion of antibiotic resistance genes (ARGs) compared to adults, even in infants never exposed to antibiotics. Our study aims to elucidate this phenomenon by analysing how different perinatal factors influence the presence of ARGs, mobile genetic elements (MGEs), and their bacterial hosts in the infant gut.

METHODS: We searched MEDLINE and Embase up to April 3rd, 2023, for studies reporting infant cohorts with shotgun metagenomic sequencing of stool samples. The systematic search identified 14 longitudinal infant cohorts from 10 countries across three continents, featuring publicly available sequencing data with corresponding metadata. For subsequent integrative bioinformatic analyses, we used 3981 high-quality metagenomic samples from 1270 infants and 415 mothers.

FINDINGS: We identified distinct trajectories of the resistome and mobilome associated with birth mode, gestational age, antibiotic use, and geographical location. Geographical variation was exemplified by differences between cohorts from Europe, Southern Africa, and Northern America, which showed variation in both diversity and abundance of ARGs. On the other hand, we did not detect a significant impact of breastfeeding on the infants' gut resistome. More than half of detected ARGs co-localised with plasmids in key bacterial hosts, such as Escherichia coli and Enterococcus faecalis. These ARG-associated plasmids were gradually lost during infancy. We also demonstrate that E. coli role as a primary modulator of the infant gut resistome and mobilome is facilitated by its increased abundance and strain diversity compared to adults.

INTERPRETATION: Birth mode, gestational age, antibiotic exposure, and geographical location significantly influence the development of the infant gut resistome and mobilome. A reduction in E. coli relative abundance over time appears as a key factor driving the decrease in both resistome and plasmid relative abundance as infants grow.

FUNDING: Centre for Advanced Study in Oslo, Norway. Centre for New Antibacterial Strategies through the Tromsø Research Foundation, Norway.},
}

Humans
*Gastrointestinal Microbiome/genetics
Infant
Metagenomics/methods
Infant, Newborn
Anti-Bacterial Agents/pharmacology/therapeutic use
Metagenome
Female
Interspersed Repetitive Sequences
*Drug Resistance, Bacterial/genetics
Computational Biology/methods

@article {pmid40169791,
year = {2025},
author = {Ding, DY and Tang, Z and Zhu, B and Ren, H and Shalek, AK and Tibshirani, R and Nolan, GP},
title = {Quantitative characterization of tissue states using multiomics and ecological spatial analysis.},
journal = {Nature genetics},
volume = {57},
number = {4},
pages = {910-921},
pmid = {40169791},
issn = {1546-1718},
mesh = {Humans ; *Spatial Analysis ; *Genomics/methods ; Single-Cell Analysis/methods ; Multiomics ; },
abstract = {The spatial organization of cells in tissues underlies biological function, and recent advances in spatial profiling technologies have enhanced our ability to analyze such arrangements to study biological processes and disease progression. We propose MESA (multiomics and ecological spatial analysis), a framework drawing inspiration from ecological concepts to delineate functional and spatial shifts across tissue states. MESA introduces metrics to systematically quantify spatial diversity and identify hot spots, linking spatial patterns to phenotypic outcomes, including disease progression. Furthermore, MESA integrates spatial and single-cell multiomics data to facilitate an in-depth, molecular understanding of cellular neighborhoods and their spatial interactions within tissue microenvironments. Applying MESA to diverse datasets demonstrates additional insights it brings over prior methods, including newly identified spatial structures and key cell populations linked to disease states. Available as a Python package, MESA offers a versatile framework for quantitative decoding of tissue architectures in spatial omics across health and disease.},
}

Humans
*Spatial Analysis
*Genomics/methods
Single-Cell Analysis/methods
Multiomics

@article {pmid40200522,
year = {2025},
author = {Dsouza, N and Cohen, E and Ossebaard, H and van Meurs, H and Sijm-Eeken, M},
title = {The Ecological Footprint of Gynecology: Lessons from Dutch Hospitals and Implications for Future Healthcare Management.},
journal = {Studies in health technology and informatics},
volume = {323},
number = {},
pages = {424-428},
doi = {10.3233/SHTI250125},
pmid = {40200522},
issn = {1879-8365},
mesh = {Netherlands ; *Gynecology/organization & administration ; Humans ; Quality Improvement/organization & administration ; Female ; Models, Organizational ; },
abstract = {In 2023, global temperatures reached record-breaking highs, highlighting the urgent need for climate action. Healthcare is responsible for 4-8% of global carbon emissions, contributing to global warming and impacting the health of billions of people. Within healthcare, gynecology has a significant ecological footprint due to its high volume and broad range of care services. However, little is known on how gynecology departments' management structures, information systems and processes can be optimized to reduce the ecological footprint of this specialty. Therefore, a sustainability maturity model based on Donabedian's structure-process-outcome model for quality improvement was used to assess sustainability performance in two gynecology practices with different organizational structures (centralized vs. decentralized). Maturity model scores and interview findings were analyzed to extract lessons and recommendations for optimizing sustainability within gynecology. As the first assessment of its kind, this study provides a foundation for healthcare management seeking to improve environmental performance in gynecological care.},
}

Netherlands
*Gynecology/organization & administration
Humans
Quality Improvement/organization & administration
Female
Models, Organizational

@article {pmid40200140,
year = {2025},
author = {Antala, M and Kovar, M and Sporinová, L and Filacek, A and Juszczak, R and Zivcak, M and Shomali, A and Prasad, R and Brestic, M and Rastogi, A},
title = {High-throughput phenotyping of buckwheat (Fagopyrum esculentum Moench.) genotypes under water stress: exploring drought resistance for sustainable agriculture.},
journal = {BMC plant biology},
volume = {25},
number = {1},
pages = {444},
pmid = {40200140},
issn = {1471-2229},
support = {23-04221 L//Grantová Agentura České Republiky/ ; 731013//Horizon 2020 Framework Programme/ ; 2021/43/I/NZ9/01356//Narodowym Centrum Nauki/ ; BWS/BIL/2022/1/00120//Narodowa Agencja Wymiany Akademickiej/ ; },
mesh = {*Fagopyrum/genetics/physiology/growth & development ; Genotype ; *Droughts ; Phenotype ; Dehydration ; Crops, Agricultural/genetics/physiology ; Agriculture ; Stress, Physiological ; Plant Breeding ; Drought Resistance ; },
abstract = {BACKGROUND: As global agriculture faces the challenge of climate change, characterized by longer and more severe drought episodes, there is an increasing need for crop diversification and improved plant breeding. Buckwheat is one of the climate-resilient candidates for future important crops with remarkable adaptability to various biotic and abiotic stresses. As an underbred crop, a large number of genotypes should be assessed for the breeding of superior plants. Therefore, this study investigates the response of various buckwheat genotypes to water stress by high-throughput phenotyping and auxiliary plant physiology measurements.

RESULTS: We assessed six buckwheat genotypes from different regions under mild and severe water stress, focusing on morphological and physiological changes to understand drought tolerance mechanisms. Our findings revealed that reallocation of assimilated carbon from growth to secondary metabolite production is a common response to drought stress. Among the genotypes tested, Panda emerged as the most drought-resistant, with its morphology remaining the most stable under mild water stress and its ability to rapidly accumulate protective pigments in response to drought. Silver Hull also demonstrated resilience, maintaining its aboveground biomass under mild water stress at levels comparable to the control group. Additionally, the response magnitude to drought stress was linked to the biomass production potential of the genotypes, which was higher for those from warmer regions (Bhutan, Zimbabwe) and lower for those from colder regions (Poland, Canada).

CONCLUSION: The diversity in genotypic responses highlights the significant role of genetic variability in shaping drought resistance strategies in buckwheat. This research not only enhances our understanding of buckwheat's physiological responses to water stress but also holds promise for developing drought-resistant buckwheat varieties. These advancements are crucial for promoting sustainable agriculture in the face of climate change.},
}

*Fagopyrum/genetics/physiology/growth & development
Genotype
*Droughts
Phenotype
Dehydration
Crops, Agricultural/genetics/physiology
Agriculture
Stress, Physiological
Plant Breeding
Drought Resistance

@article {pmid40200134,
year = {2025},
author = {Hu, X and Pan, L and Fu, C and Zhu, Q and Hao, J and Wang, X and Nawaz, M and Qu, J and Zhang, J and Chen, Y and Zong, J and Liao, L and Tang, M and Wang, Z},
title = {A multi-omics analysis reveals candidate genes for Cd tolerance in Paspalum vaginatum.},
journal = {BMC plant biology},
volume = {25},
number = {1},
pages = {441},
pmid = {40200134},
issn = {1471-2229},
support = {No.321RC475//Hainan Natural Science Foundation high-level Talents Project/ ; No.321RC475//Hainan Natural Science Foundation high-level Talents Project/ ; ZDYF2023XDNY078//the Hainan Province Science and Technology Special Fund/ ; XTCX2022STC10//Collaborative Innovation Center Project of Ecological Civilization in Hainan University/ ; KJRC2023C21//Innovational Fund for Scientific and Technological Personnel of Hainan Province/ ; No.32060409//the National Natural Science Foundation of China/ ; XTCX2022NYB08//Collaborative Innovation Center Project of Nanfan and High-Efficiency Tropical Agriculture in Hainan University/ ; },
mesh = {*Cadmium/toxicity ; *Paspalum/genetics/drug effects/metabolism/physiology ; Genome-Wide Association Study ; *Genes, Plant ; Gene Expression Regulation, Plant ; Multiomics ; },
abstract = {Cadmium (Cd) pollution in the farmland has become a serious global issue threatening both human health and plant biomass production. Seashore paspalum (Paspalum vaginatum Sw.), a halophytic turfgrass, has been recognized as a Cd-tolerant species. However, the underlying genetic basis of natural variations in Cd tolerance still remains unknown. This study is possibly the first to apply genome-wide association studies (GWAS) and selective sweep analysis to identify potential Cd stress-responsive genes in P. vaginatum. We identified a total of 89 candidate genes and 656 putative selective sweeps regions. Based on the correlation analysis of differentially expressed metabolites (DEMs) and differentially expressed genes (DEGs), we identified the 55 key genes associated with metabolic changes induced by Cd treatment as the Cd tolerance-related genes. These genes showed significantly higher expression in Cd-tolerant accessions as compared to Cd-susceptive accessions. Therefore, our multi-omics study revealed the molecular and genetic basis of Cd tolerance, which may help develop Cd tolerant crop varieties.},
}

*Cadmium/toxicity
*Paspalum/genetics/drug effects/metabolism/physiology
Genome-Wide Association Study
*Genes, Plant
Gene Expression Regulation, Plant
Multiomics

@article {pmid40199921,
year = {2025},
author = {Chaudhary, VB and Nokes, LF and González, JB and Cooper, PO and Katula, AM and Mares, EC and Pehim Limbu, S and Robinson, JN and Aguilar-Trigueros, CA},
title = {TraitAM, a global spore trait database for arbuscular mycorrhizal fungi.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {588},
pmid = {40199921},
issn = {2052-4463},
support = {DEB-2205650//National Science Foundation (NSF)/ ; Feodor Lynen Fellowship//Alexander von Humboldt-Stiftung (Alexander von Humboldt Foundation)/ ; },
mesh = {*Mycorrhizae/genetics ; *Spores, Fungal ; Phylogeny ; Symbiosis ; Databases, Factual ; },
abstract = {Knowledge regarding organismal traits supports a better understanding of the relationship between form and function and can be used to predict the consequences of environmental stressors on ecological and evolutionary processes. Most plants on Earth form symbioses with mycorrhizal fungi, but our ability to make trait-based inferences for these fungi is limited due to a lack of publicly available trait data. Here, we present TraitAM, a comprehensive database of multiple spore traits for all described species of the most common group of mycorrhizal fungi, the arbuscular mycorrhizal (AM) fungi (subphylum Glomeromycotina). Trait data for 344 species were mined from original species descriptions and used to calculate newly developed fungal trait metrics that can be employed to explore both intra- and inter-specific variation in traits. TraitAM also includes an updated phylogenetic tree that can be used to conduct phylogenetically-informed multivariate analyses of AM fungal traits. TraitAM will aid our further understanding of the biology, ecology, and evolution of these globally widespread, symbiotic fungi.},
}

*Mycorrhizae/genetics
*Spores, Fungal
Phylogeny
Symbiosis
Databases, Factual

@article {pmid40198914,
year = {2025},
author = {Holmqvist, S and Kaplan, M and Chaturvedi, R and Shou, H and Giovannetti, T},
title = {Longitudinal and Combined Smartwatch and Ecological Momentary Assessment in Racially Diverse Older Adults: Feasibility, Adherence, and Acceptability Study.},
journal = {JMIR human factors},
volume = {12},
number = {},
pages = {e69952},
doi = {10.2196/69952},
pmid = {40198914},
issn = {2292-9495},
mesh = {Humans ; *Ecological Momentary Assessment/statistics & numerical data ; Male ; Aged ; Female ; Feasibility Studies ; Middle Aged ; *Patient Compliance/statistics & numerical data ; Aged, 80 and over ; Longitudinal Studies ; *Smartphone ; *Mobile Applications ; *Cognitive Dysfunction/diagnosis ; *Wearable Electronic Devices/statistics & numerical data ; },
abstract = {BACKGROUND: Due to the rising prevalence of Alzheimer disease and related dementias, easily deployable tools to quantify risk are needed. Smartphones and smartwatches enable unobtrusive and continuous monitoring, but there is limited information regarding the feasibility, adherence, and acceptability of digital data collection among racially diverse older adults.

OBJECTIVE: This paper examined the feasibility, adherence, and acceptability of a 4-week combined smartwatch monitoring and ecological momentary assessment (EMA) study in a racially diverse sample of older adults.

METHODS: A total of 44 older adults (aged ≥55 y) with either mild cognitive impairment or healthy cognition completed an informed consent comprehension quiz, baseline cognitive testing, training regarding digital data collection, and questionnaires. Participants were instructed to wear a Garmin Vivosmart 4 smartwatch for 23 h/d for 4 weeks, sync 2 smartphone apps (Garmin and Labfront) daily, and complete a daily EMA survey with automated prompts for surveys and charging. Training time, smartwatch adherence (eg, wear time), daily EMA survey response rate, and performance on the consent quiz were quantified. Associations between feasibility and adherence metrics and participant factors were evaluated. Self-reported usability of the apps and smartwatch was collected at study end.

RESULTS: Consent comprehension quiz scores were high (mean 97.33%, SD 6.86% correct), and training sessions lasted on average 17.93 (SD 6.89) minutes. During the 4-week study, participants wore the smartwatch for an average of 21 h/d (SD 1.53) and showed an average response rate of 94% (SD 9.58%) to daily EMA surveys. In unadjusted bivariate analyses, age, race, and cognition were associated with feasibility and adherence measures, but only age and race remained significant in multivariate models. After accounting for all participant factors, older age was a significant predictor of longer training time, and Black race was a significant predictor of lower daily wear time. On the usability survey, all participants (45/45, 100%) indicated willingness to participate in future smartwatch studies, >80% (37/45) had a positive experience, and >90% (41/45) were satisfied with smartphone app syncing.

CONCLUSIONS: Smartwatch monitoring, requiring daily wear, smartphone syncing, and daily EMA survey completion, is highly feasible in older adults because adherence to daily wear and EMA surveys was high, as was general satisfaction on usability surveys. Although older participants may require more training on smartwatch and smartphone procedures and automated prompting during the study period, longitudinal monitoring with the Garmin Vivosmart 4 smartwatch and Labfront app is acceptable and feasible for collecting nearly continuous data in Black and White older adults, including those with mild cognitive impairment and those without.},
}

Humans
*Ecological Momentary Assessment/statistics & numerical data
Male
Aged
Female
Feasibility Studies
Middle Aged
*Patient Compliance/statistics & numerical data
Aged, 80 and over
Longitudinal Studies
*Smartphone
*Mobile Applications
*Cognitive Dysfunction/diagnosis
*Wearable Electronic Devices/statistics & numerical data

@article {pmid40198416,
year = {2025},
author = {Huan, F and Gao, S and Gu, Y and Ni, L and Wu, M and Li, Y and Liu, M and Yang, Y and Xiao, A and Liu, G},
title = {Molecular Allergology: Epitope Discovery and Its Application for Allergen-Specific Immunotherapy of Food Allergy.},
journal = {Clinical reviews in allergy & immunology},
volume = {68},
number = {1},
pages = {37},
pmid = {40198416},
issn = {1559-0267},
support = {32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; },
mesh = {Humans ; *Food Hypersensitivity/therapy/immunology ; *Allergens/immunology/chemistry/genetics ; *Desensitization, Immunologic/methods ; Animals ; *Epitopes, T-Lymphocyte/immunology ; *Epitopes, B-Lymphocyte/immunology ; *Epitopes/immunology ; Computational Biology ; Epitope Mapping ; },
abstract = {The prevalence of food allergy continues to rise, posing a significant burden on health and quality of life. Research on antigenic epitope identification and hypoallergenic agent design is advancing allergen-specific immunotherapy (AIT). This review focuses on food allergens from the perspective of molecular allergology, provides an overview of integration of bioinformatics and experimental validation for epitope identification, highlights hypoallergenic agents designed based on epitope information, and offers a valuable guidance to the application of hypoallergenic agents in AIT. With the development of molecular allergology, the characterization of the amino acid sequence and structure of the allergen at the molecular level facilitates T-/B-cell epitope identification. Alignment of the identified epitopes in food allergens revealed that the amino acid sequence of T-/B-cell epitopes barely overlapped, providing crucial data to design allergen molecules as a promising form for treating (FA) food allergy. Manipulating antigenic epitopes can reduce the allergenicity of allergens to obtain hypoallergenic agents, thereby minimizing the severe side effects associated with AIT. Currently, hypoallergenic agents are mainly developed through synthetic epitope peptides, genetic engineering, or food processing methods based on the identified epitope. New strategies such as DNA vaccines, signaling molecules coupling, and nanoparticles are emerging to improve efficiency. Although significant progress has been made in designing hypoallergenic agents for AIT, the challenge in clinical translation is to determine the appropriate dose and duration of treatment to induce long-term immune tolerance.},
}

Humans
*Food Hypersensitivity/therapy/immunology
*Allergens/immunology/chemistry/genetics
*Desensitization, Immunologic/methods
Animals
*Epitopes, T-Lymphocyte/immunology
*Epitopes, B-Lymphocyte/immunology
*Epitopes/immunology
Computational Biology
Epitope Mapping

@article {pmid40196448,
year = {2025},
author = {Rotstein, NM and Cohen, ZD and Welborn, A and Zbozinek, TD and Akre, S and Jones, KG and Null, KE and Pontanares, J and Sanchez, KL and Flanagan, DC and Halavi, SE and Kittle, E and McClay, MG and Bui, AAT and Narr, KL and Welsh, RC and Craske, MG and Kuhn, TP},
title = {Investigating low intensity focused ultrasound pulsation in anhedonic depression-A randomized controlled trial.},
journal = {Frontiers in human neuroscience},
volume = {19},
number = {},
pages = {1478534},
pmid = {40196448},
issn = {1662-5161},
abstract = {INTRODUCTION: Anhedonic depression is a subtype of depression characterized by deficits in reward processing. This subtype of depression is associated with higher suicide risk and longer depressive episodes, underscoring the importance of effective treatments. Anhedonia has also been found to correlate with alterations in activity in several subcortical regions, including the caudate head and nucleus accumbens. Low intensity focused ultrasound pulsation (LIFUP) is an emerging technology that enables non-invasive stimulation of these subcortical regions, which were previously only accessible with surgically-implanted electrodes.

METHODS: This double-blinded, sham-controlled study aims to investigate the effects of LIFUP to the left caudate head and right nucleus accumbens in participants with anhedonic depression. Participants in this protocol will undergo three sessions of LIFUP over the span of 5-9 days. To investigate LIFUP-related changes, this 7-week protocol collects continuous digital phenotyping data, an array of self-report measures of depression, anhedonia, and other psychopathology, and magnetic resonance imaging (MRI) before and after the LIFUP intervention. Primary self-report outcome measures include Ecological Momentary Assessment, the Positive Valence Systems Scale, and the Patient Health Questionnaire. Primary imaging measures include magnetic resonance spectroscopy and functional MRI during reward-based tasks and at rest. Digital phenotyping data is collected with an Apple Watch and participants' personal iPhones throughout the study, and includes information about sleep, heart rate, and physical activity.

DISCUSSION: This study is the first to investigate the effects of LIFUP to the caudate head or nucleus accumbens in depressed subjects. Furthermore, the data collected for this protocol covers a wide array of potentially affected modalities. As a result, this protocol will help to elucidate potential impacts of LIFUP in individuals with anhedonic depression.},
}

@article {pmid39218423,
year = {2025},
author = {Morris, JS},
title = {Tracking vaccine effectiveness in an evolving pandemic, countering misleading hot takes and epidemiologic fallacies.},
journal = {American journal of epidemiology},
volume = {194},
number = {4},
pages = {898-907},
doi = {10.1093/aje/kwae280},
pmid = {39218423},
issn = {1476-6256},
mesh = {Humans ; *COVID-19 Vaccines/immunology ; *Vaccine Efficacy ; *COVID-19/prevention & control/epidemiology ; *Pandemics/prevention & control ; SARS-CoV-2/immunology ; Social Media ; Bias ; },
abstract = {With the emergence of Omicron during the pandemic and the establishment of antibody waning over time, vaccine effectiveness, especially against infection, declined sharply from the original levels seen after the initial rollout. However, studies have demonstrated that they still provided substantial protection vs severe/fatal disease even with Omicron and after waning. Social media has been rife with reports claiming vaccines provided no benefit and some even claiming they made things worse, often driven by simple presentations of raw observational data using erroneous arguments involving epidemiologic fallacies including the base rate fallacy, Simpson's paradox, and the ecological fallacy and ignoring the extensive bias especially from confounding that is an inherent feature of these data. Similar fallacious arguments have been made by some in promoting vaccination policies, as well. Generally, vaccine effectiveness cannot be accurately estimated from raw population summaries but instead require rigorous, careful studies using epidemiologic designs and statistical analysis tools attempting to adjust for key confounders and sources of bias. This article summarizes what aggregated evidence across studies reveals about effectiveness of the mRNA vaccines as the pandemic has evolved, chronologically summarized with emerging variants and highlighting some of the fallacies and flawed arguments feeding social media-based claims that have obscured society's collective understanding.},
}

Humans
*COVID-19 Vaccines/immunology
*Vaccine Efficacy
*COVID-19/prevention & control/epidemiology
*Pandemics/prevention & control
SARS-CoV-2/immunology
Social Media
Bias

@article {pmid40186616,
year = {2025},
author = {Chen, L and Guo, Y and López-Güell, K and Ma, J and Dong, Y and Xie, J and Alhambra, DP},
title = {Immunity Debt for Seasonal Influenza After the COVID-19 Pandemic and as a Result of Nonpharmaceutical Interventions: An Ecological Analysis and Cohort Study.},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
volume = {},
number = {},
pages = {e2410513},
doi = {10.1002/advs.202410513},
pmid = {40186616},
issn = {2198-3844},
support = {82373593//National Natural Science Foundation of China/ ; },
abstract = {Non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic significantly reduced influenza transmission. This study explores the hypothesis of "immunity debt" which suggests increased vulnerability to influenza following reduced exposure during the pandemic. World Health Organization aggregated data on influenza from 116 countries and its association with NPI intensity as measured by the COVID-19 Stringency Index is analyzed. Where individual-level data available (France, the United Kingdom, Spain, Italy, Belgium, and Romania), the analyses of influenza monthly rates in six European countries (France, the United Kingdom, Spain, Italy, Belgium, and Romania) are replicated. The results indicate globally a 46.3% (95%CI: 15.79-70.78%) reduction in influenza cases during COVID-19 restrictions in the winter season, followed by a 131.7% (95%CI: 34.95-255.78%) increase in the first postrelaxation winter and a 161.2% (95%CI: 31.88-382.16%) increase in the summer as compared to the predicted level based on historical influenza epidemic trends. In addition, a positive association between the Stringency Index and post-relaxation influenza surge is observed globally (R[2] = 0.14-0.17) and replicated regionally. The findings support the population immunity debt hypothesis for influenza and call for proactive preparations against its consequences in future pandemics.},
}

@article {pmid39689860,
year = {2025},
author = {Wu, Z and Huang, Z and Tang, N and Wang, K and Bian, C and Li, D and Kuraki, V and Schmid, F},
title = {Research on Sports Injury Rehabilitation Detection Based on IoT Models for Digital Health Care.},
journal = {Big data},
volume = {13},
number = {2},
pages = {144-160},
doi = {10.1089/big.2023.0134},
pmid = {39689860},
issn = {2167-647X},
mesh = {Humans ; *Internet of Things ; *Athletic Injuries/rehabilitation/diagnosis ; Delivery of Health Care ; Telemedicine ; Digital Health ; },
abstract = {Physical therapists specializing in sports rehabilitation detection help injured athletes recover from their wounds and avoid further harm. Sports rehabilitators treat not just commonplace sports injuries but also work-related musculoskeletal injuries, discomfort, and disorders. Sensor-equipped Internet of Things (IoT) monitors the real-time location of medical equipment such as scooters, cardioverters, nebulizer treatments, oxygenation pumps, or other monitor gear. Analysis of medicine deployment across sites is possible in real time. Health care delivery based on digital technology to improve access, affordability, and sustainability of medical treatment is known as digital health care. The challenging characteristics of such sports injury rehabilitation for digital health care are playing position, game strategies, and cybersecurity. Hence, in this research, health care IoT-enabled body area networks (HIoT-BAN) have been designed to improve sports injury rehabilitation detection for digital health care. The health care sector may benefit significantly from IoT adoption since it allows for enhanced patient safety; health care investment management includes controlling the hospital's pharmaceutical stock and monitoring the heat and humidity levels. Digital health describes a group of programmers made to aid health care delivery, whether by assisting with clinical decision-making or streamlining back-end operations in health care institutions. A HIoT-BAN effectively predicts the rise in sports injury rehabilitation detection with faster digital health care based on IoT. The research concludes that the HIoT-BAN effectively indicates sports injury rehabilitation detection for digital health care. The experimental analysis of HIoT-BAN outperforms the IoT method in terms of performance, accuracy, prediction ratio, and mean square error rate.},
}

Humans
*Internet of Things
*Athletic Injuries/rehabilitation/diagnosis
Delivery of Health Care
Telemedicine
Digital Health

@article {pmid40185844,
year = {2025},
author = {Amin, NU and Islam, F and Umar, M and Muhammad, W and Rahman, SU and Gaafar, AZ and Shah, TA and Dauelbait, M and Bourhia, M},
title = {Evaluation of crop phenology using remote sensing and decision support system for agrotechnology transfer.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {11582},
pmid = {40185844},
issn = {2045-2322},
mesh = {*Remote Sensing Technology/methods ; *Crops, Agricultural/growth & development ; Biomass ; *Agriculture/methods ; *Decision Support Techniques ; Plant Leaves/growth & development ; Seasons ; },
abstract = {The decision support system for agro-technology transfer (DSSAT) is a worldwide crop modeling platform used for crops growth, yield, leaf area index (LAI), and biomass estimation under varying climatic, soil and management conditions. This study integrates DSSAT with satellite remote sensing (RS) data to estimates canopy state variables like LAI and biomass. For LAI estimation, Moderate Resolution Imaging Spectroradiometer (MODIS) product (MCD15A3H for LAI and MOD17A2 / MOD17A3 products for biomass) are used. Field data for Sheikhupura district is provided by National Agriculture Research Council (NARC) and used for the calibration and validation of the model. The results indicate strong agreement between the DSSAT and RS derived estimates. Correlation coefficients (R[2]) for LAI varied from 0.82 to 0.90, while for biomass ranged from 0.92 to 0.99 over two farms and two growing seasons (2012-2014). The index of agreement (D-index) ranged from 0.79 to 0.96 across the two farms and two growing seasons (2012-2014) affirming the model's durability. However, the biomass estimated from RS data is underestimated due to saturation phenomenon in the optical RS. The performance metrics, comprising the coefficient of residual mass (CRM) and normalized root mean square error (nRMSE), further substantiate the approach utilized. This study will help decision and policymakers and researchers to apply geospatial techniques for the sustainable agriculture practices.},
}

*Remote Sensing Technology/methods
*Crops, Agricultural/growth & development
Biomass
*Agriculture/methods
*Decision Support Techniques
Plant Leaves/growth & development
Seasons

@article {pmid40181527,
year = {2025},
author = {Mills, MB and Shenkin, A and Wilkes, P and Disney, M and Page, S and Berrio, JC and Kaduk, J and Malhi, Y and Robert, R and Nilus, R and Riutta, T},
title = {Investigating the accuracy of tropical woody stem CO2 efflux estimates: scaling methods, and vertical and diel variation.},
journal = {The New phytologist},
volume = {},
number = {},
pages = {},
doi = {10.1111/nph.70122},
pmid = {40181527},
issn = {1469-8137},
support = {CA20118//European Cooperation in Science and Technology/ ; PRA 11.23//Royal Geographical Society/ ; NE/P011780/1//Natural Environment Research Council/ ; NE/Y006216/1//National Centre for Earth Observation/ ; NE/S007350/1//Central England NERC Training Alliance/ ; },
abstract = {Stem CO2 efflux (EA) significantly contributes to autotrophic and ecosystem respiration in tropical forests, but field methodologies often introduce biases and uncertainty. This study evaluates these biases and their impact on scaling EA at the stand-level. Diel and vertical patterns of EA were investigated, along with the accuracy of estimating stem surface area from allometric equations vs terrestrial light dection and ranging (LiDAR) scanning (TLS) in Maliau Basin Conservation Area, Sabah, Malaysian Borneo. Diel EA exhibited no uniform pattern due to inter-tree variability, but results suggest measuring EA before 15:00 h. EA was significantly higher on buttresses and above the first major branching point, but vertical variations in EA did not impact stand-level EA when stem surface area was accurately estimated. Allometric equations underestimated total stem surface area by c. 40% compared with TLS, but applying a site-specific correction factor yielded a similar stand-level EA and total stem surface area to TLS. This study provides guidance for measuring EA in the field and suggests that measuring at one time point and one height along the stem can produce accurate results if conducted using the correct time frame and if stem surface area is accurately estimated.},
}

@article {pmid40180992,
year = {2025},
author = {González, AL and Merder, J and Andraczek, K and Brose, U and Filipiak, M and Harpole, WS and Hillebrand, H and Jackson, MC and Jochum, M and Leroux, SJ and Nessel, MP and Onstein, RE and Paseka, R and Perry, GLW and Rugenski, A and Sitters, J and Sperfeld, E and Striebel, M and Zandona, E and Aymes, JC and Blanckaert, A and Bluhm, SL and Doi, H and Eisenhauer, N and Farjalla, VF and Hood, J and Kratina, P and Labonne, J and Lovelock, CE and Moody, EK and Mozsár, A and Nash, L and Pollierer, MM and Potapov, A and Romero, GQ and Roussel, JM and Scheu, S and Scheunemann, N and Seeber, J and Steinwandter, M and Susanti, WI and Tiunov, A and Dézerald, O},
title = {StoichLife: A Global Dataset of Plant and Animal Elemental Content.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {569},
pmid = {40180992},
issn = {2052-4463},
support = {DFG HI848/26-2//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; FOR 5000//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; DFG 493345801//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; FZT 118, 202548816//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; FZT 118, 202548816//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; RGPIN-2020-04132//Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology)/ ; 310119/2018-9//Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development)/ ; 310119/2018-9//Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development)/ ; NAF\R2\180791//Royal Society/ ; DP0986179//Department of Education and Training | Australian Research Council (ARC)/ ; DP160103669//Department of Education and Training | Australian Research Council (ARC)/ ; 22-14-00363)//Russian Science Foundation (RSF)/ ; },
mesh = {*Plants/chemistry ; Animals ; Ecosystem ; Phosphorus/analysis ; Nitrogen/analysis ; Carbon/analysis ; },
abstract = {The elemental content of life is a key trait shaping ecology and evolution, yet organismal stoichiometry has largely been studied on a case-by-case basis. This limitation has hindered our ability to identify broad patterns and mechanisms across taxa and ecosystems. To address this, we present StoichLife, a global dataset of 28,049 records from 5,876 species spanning terrestrial, freshwater, and marine realms. Compiled from published and unpublished sources, StoichLife documents elemental content and stoichiometric ratios (%C, %N, %P, C:N, C:P, and N:P) for individual plants and animals. The dataset is standardized and, where available, includes information on taxonomy, habitat, body mass (for animals), geography, and environmental conditions such as temperature, solar radiation, and nutrient availability. By providing an unprecedented breadth of organismal stoichiometry, StoichLife enables the exploration of global patterns, ecological and evolutionary drivers, and context-dependent variations. This resource advances our understanding of the chemical makeup of life and its responses to environmental change, supporting progress in ecological stoichiometry and related fields.},
}

*Plants/chemistry
Animals
Ecosystem
Phosphorus/analysis
Nitrogen/analysis
Carbon/analysis

@article {pmid39936183,
year = {2025},
author = {Brait, N and Hackl, T and Lequime, S},
title = {detectEVE: Fast, Sensitive and Precise Detection of Endogenous Viral Elements in Genomic Data.},
journal = {Molecular ecology resources},
volume = {25},
number = {4},
pages = {e14083},
doi = {10.1111/1755-0998.14083},
pmid = {39936183},
issn = {1755-0998},
mesh = {*Computational Biology/methods ; *Genomics/methods ; *Software ; Genome, Viral ; *Viruses/genetics ; Sensitivity and Specificity ; },
abstract = {Endogenous viral elements (EVEs) are fragments of viral genomic material embedded within the host genome. Retroviruses contribute to the majority of EVEs because of their genomic integration during their life cycle; however, the latter can also arise from non-retroviral RNA or DNA viruses, then collectively known as non-retroviral (nr) EVEs. Detecting nrEVEs poses challenges because of their sequence and genomic structural diversity, contributing to the scarcity of specific tools designed for nrEVEs detection. Here, we introduce detectEVE, a user-friendly and open-source tool designed for the accurate identification of nrEVEs in genomic assemblies. detectEVE deviates from other nrEVE detection pipelines, which usually classify sequences in a more rigid manner as either virus-associated or not. Instead, we implemented a scaling system assigning confidence scores to hits in protein sequence similarity searches, using bit score distributions and search hints related to various viral characteristics, allowing for higher sensitivity and specificity. Our benchmarking shows that detectEVE is computationally efficient and accurate, as well as considerably faster than existing approaches, because of its resource-efficient parallel execution. Our tool can help to fill current gaps in both host-associated fields and virus-related studies. This includes (i) enhancing genome annotations with metadata for EVE loci, (ii) conducting large-scale paleo-virological studies to explore deep viral evolutionary histories, and (iii) aiding in the identification of actively expressed EVEs in transcriptomic data, reducing the risk of misinterpretations between exogenous viruses and EVEs.},
}

*Computational Biology/methods
*Genomics/methods
*Software
Genome, Viral
*Viruses/genetics
Sensitivity and Specificity

@article {pmid39925235,
year = {2025},
author = {Shi, T and Gao, Z and Zhang, Y and Rausher, MD and Chen, J},
title = {A Strategy of Assessing Gene Copy Number Differentiation Between Populations Using Ultra-Fast De Novo Assembly of Next-Generation Sequencing Data.},
journal = {Molecular ecology resources},
volume = {25},
number = {4},
pages = {e14080},
doi = {10.1111/1755-0998.14080},
pmid = {39925235},
issn = {1755-0998},
support = {31570220//National Natural Science Foundation of China/ ; 31870208//National Natural Science Foundation of China/ ; 32170240//National Natural Science Foundation of China/ ; KFJ-BRP-007-009//Biological Resources Program, CAS/ ; },
mesh = {*High-Throughput Nucleotide Sequencing/methods ; *DNA Copy Number Variations ; *Computational Biology/methods ; *Genetics, Population/methods ; *Gene Dosage ; Sequence Analysis, DNA/methods ; },
abstract = {Gene duplication and loss play pivotal roles in the evolutionary dynamics of genomes, contributing to species phenotypic diversity and adaptation. However, detecting copy number variations (CNVs) in homoploid populations and newly-diverged species using short reads from next-generation sequencing (NGS) with traditional methods can often be challenging due to uneven read coverage caused by variations in GC content and the presence of repetitive sequences. To address these challenges, we developed a novel pipeline, ST4gCNV, which leverages ultra-fast de novo assemblies of NGS data to detect gene-specific CNVs between populations. The pipeline effectively reduces the variance of read coverage due to technical factors such as GC bias, providing a reliable CNV detection with a minimum sequencing depth of 10. We successfully apply ST4gCNV to the resequencing analysis of homoploid species Nelumbo nucifera and Nelumbo lutea (lotus). We reveal significant CNV-driven differentiation between these species, particularly in genes related to petal colour diversity such as those involved in the anthocyanin pathway. By highlighting the extensive gene duplication and loss events in Nelumbo, our study demonstrates the utility of ST4gCNV in population genomics and underscores its potential of integrating genomic CNV analysis with traditional SNP-based resequencing analysis.},
}

*High-Throughput Nucleotide Sequencing/methods
*DNA Copy Number Variations
*Computational Biology/methods
*Genetics, Population/methods
*Gene Dosage
Sequence Analysis, DNA/methods

@article {pmid39801085,
year = {2025},
author = {Anderson, EC and Giglio, RM and DeSaix, MG and Smyser, TJ},
title = {gscramble: Simulation of Admixed Individuals Without Reuse of Genetic Material.},
journal = {Molecular ecology resources},
volume = {25},
number = {4},
pages = {e14069},
doi = {10.1111/1755-0998.14069},
pmid = {39801085},
issn = {1755-0998},
support = {//National Wildlife Research Center/ ; //Southwest Fisheries Science Center/ ; },
mesh = {*Computer Simulation ; *Computational Biology/methods ; *Genetics, Population/methods ; Genotype ; *Software ; },
abstract = {While a best practice for evaluating the behaviour of genetic clustering algorithms on empirical data is to conduct parallel analyses on simulated data, these types of simulation techniques often involve sampling genetic data with replacement. In this paper we demonstrate that sampling with replacement, especially with large marker sets, inflates the perceived statistical power to correctly assign individuals (or the alleles that they carry) back to source populations-a phenomenon we refer to as resampling-induced, spurious power inflation (RISPI). To address this issue, we present gscramble, a simulation approach in R for creating biologically informed individual genotypes from empirical data that: (1) samples alleles from populations without replacement and (2) segregates alleles based on species-specific recombination rates. This framework makes it possible to simulate admixed individuals in a way that respects the physical linkage between markers on the same chromosome and which does not suffer from RISPI. This is achieved in gscramble by allowing users to specify pedigrees of varying complexity in order to simulate admixed genotypes, segregating and tracking haplotype blocks from different source populations through those pedigrees, and then sampling-using a variety of permutation schemes-alleles from empirical data into those haplotype blocks. We demonstrate the functionality of gscramble with both simulated and empirical data sets and highlight additional uses of the package that users may find valuable.},
}

*Computer Simulation
*Computational Biology/methods
*Genetics, Population/methods
Genotype
*Software

@article {pmid40180917,
year = {2025},
author = {Schmitz, MA and Dimonaco, NJ and Clavel, T and Hitch, TCA},
title = {Lineage-specific microbial protein prediction enables large-scale exploration of protein ecology within the human gut.},
journal = {Nature communications},
volume = {16},
number = {1},
pages = {3204},
pmid = {40180917},
issn = {2041-1723},
support = {460129525//Massachusetts Department of Fish and Game (DFG)/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome/genetics ; Metagenome/genetics ; *Metagenomics/methods ; *Bacterial Proteins/genetics/metabolism ; *Bacteria/genetics/classification/metabolism ; Phylogeny ; Computational Biology/methods ; },
abstract = {Microbes use a range of genetic codes and gene structures, yet these are often ignored during metagenomic analysis. This causes spurious protein predictions, preventing functional assignment which limits our understanding of ecosystems. To resolve this, we developed a lineage-specific gene prediction approach that uses the correct genetic code based on the taxonomic assignment of genetic fragments, removes incomplete protein predictions, and optimises prediction of small proteins. Applied to 9634 metagenomes and 3594 genomes from the human gut, this approach increased the landscape of captured expressed microbial proteins by 78.9%, including previously hidden functional groups. Optimised small protein prediction captured 3,772,658 small protein clusters, which form an improved microbial protein catalogue of the human gut (MiProGut). To enable the ecological study of a protein's prevalence and association with host parameters, we developed InvestiGUT, a tool which integrates both the protein sequences and sample metadata. Accurate prediction of proteins is critical to providing a functional understanding of microbiomes, enhancing our ability to study interactions between microbes and hosts.},
}

Humans
*Gastrointestinal Microbiome/genetics
Metagenome/genetics
*Metagenomics/methods
*Bacterial Proteins/genetics/metabolism
*Bacteria/genetics/classification/metabolism
Phylogeny
Computational Biology/methods

@article {pmid40179423,
year = {2025},
author = {Dejeante, R and Valeix, M and Chamaillé-Jammes, S},
title = {Do Mixed-Species Groups Travel as One? An Investigation on Large African Herbivores Monitored Using Animal-Borne Video Collars.},
journal = {The American naturalist},
volume = {205},
number = {4},
pages = {451-458},
doi = {10.1086/734410},
pmid = {40179423},
issn = {1537-5323},
mesh = {Animals ; Video Recording ; *Herbivory ; *Giraffes/physiology ; *Equidae/physiology ; *Antelopes/physiology ; Social Behavior ; Geographic Information Systems ; Ecosystem ; },
abstract = {AbstractAlthough prey foraging in mixed-species groups benefit from a reduced risk of predation, whether heterospecific groupmates move together in the landscape, and more generally to what extent mixed-species groups remain cohesive over time and space, remains unknown. Here, we used GPS collars with video cameras to investigate the movements of plains zebras (Equus quagga) in mixed-species groups. Blue wildebeest (Connochaetes taurinus), impalas (Aepyceros melampus), and giraffes (Giraffa camelopardalis) commonly form mixed-species groups with zebras in savanna ecosystems. We found that zebras adjust their movement decisions solely on the basis of the presence of giraffes, being more likely to move in zebra-giraffe herds, and this was correlated with a higher cohesion of such groups. Additionally, zebras moving with giraffes spent more time grazing, suggesting that zebras benefit from foraging in the proximity of giraffes. Our results provide new insights into animal movements in mixed-species groups, contributing to a better consideration of mutualism in movement ecology.},
}

Animals
Video Recording
*Herbivory
*Giraffes/physiology
*Equidae/physiology
*Antelopes/physiology
Social Behavior
Geographic Information Systems
Ecosystem

@article {pmid40179162,
year = {2025},
author = {Davín, AA and Woodcroft, BJ and Soo, RM and Morel, B and Murali, R and Schrempf, D and Clark, JW and Álvarez-Carretero, S and Boussau, B and Moody, ERR and Szánthó, LL and Richy, E and Pisani, D and Hemp, J and Fischer, WW and Donoghue, PCJ and Spang, A and Hugenholtz, P and Williams, TA and Szöllősi, GJ},
title = {A geological timescale for bacterial evolution and oxygen adaptation.},
journal = {Science (New York, N.Y.)},
volume = {388},
number = {6742},
pages = {eadp1853},
doi = {10.1126/science.adp1853},
pmid = {40179162},
issn = {1095-9203},
mesh = {*Oxygen/metabolism ; Phylogeny ; *Biological Evolution ; Oxidation-Reduction ; *Bacteria/metabolism/classification/genetics ; Machine Learning ; Photosynthesis ; Adaptation, Physiological ; Cyanobacteria/genetics/metabolism ; },
abstract = {Microbial life has dominated Earth's history but left a sparse fossil record, greatly hindering our understanding of evolution in deep time. However, bacterial metabolism has left signatures in the geochemical record, most conspicuously the Great Oxidation Event (GOE). We combine machine learning and phylogenetic reconciliation to infer ancestral bacterial transitions to aerobic lifestyles, linking them to the GOE to calibrate the bacterial time tree. Extant bacterial phyla trace their diversity to the Archaean and Proterozoic, and bacterial families prior to the Phanerozoic. We infer that most bacterial phyla were ancestrally anaerobic and adopted aerobic lifestyles after the GOE. However, in the cyanobacterial ancestor, aerobic metabolism likely predated the GOE, which may have facilitated the evolution of oxygenic photosynthesis.},
}

*Oxygen/metabolism
Phylogeny
*Biological Evolution
Oxidation-Reduction
*Bacteria/metabolism/classification/genetics
Machine Learning
Photosynthesis
Adaptation, Physiological
Cyanobacteria/genetics/metabolism

@article {pmid40178345,
year = {2025},
author = {Riobueno-Naylor, A and Gomez, I and Quan, S and Hutt Vater, C and Montes, M and Hoskova, B and Lai, BS},
title = {Methods for integrating public datasets: insights from youth disaster mental health research.},
journal = {European journal of psychotraumatology},
volume = {16},
number = {1},
pages = {2481699},
doi = {10.1080/20008066.2025.2481699},
pmid = {40178345},
issn = {2000-8066},
mesh = {Humans ; Adolescent ; *Disasters ; United States/epidemiology ; *Mental Health/statistics & numerical data ; Male ; Female ; *Depression/epidemiology ; *Datasets as Topic ; Databases, Factual ; },
abstract = {Introduction: Weather-related disasters pose significant risks to youth mental health. Exposure to multiple disasters is becoming more common; however, the effects of such exposure remain understudied. This study demonstrates the application of integrative data approaches and FAIR (Findable, Accessible, Interoperable, Reusable) data principles to evaluate the relationship between cumulative disaster exposure and youth depression and suicidality in the United States, taking into account contextual factors across levels of social ecology.Methods: We combined data from five public sources, including the Youth Risk Behavior Surveillance System (YRBS), Federal Emergency Management Agency (FEMA), United States Census Bureau, Center for Homeland Defense and Security School Shooting Safety Compendium, and Global Terrorism Database. The integrative dataset included 415,701 youth from 37 districts across the United States who completed the YRBS between 1999 and 2021. The YRBS served as the core dataset.Results: This data note highlights strategies for harmonizing diverse data formats, addressing geographic and temporal inconsistencies, and validating integrated datasets. Automated data cleaning and visualization techniques enhance accuracy and efficiency. Planning for sensitivity analyses before data cleaning is recommended to improve the data integration process and enhance the robustness of findings.Discussion: This integrative approach demonstrates how leveraging FAIR principles can advance trauma research by facilitating large-scale analyses of complex public health questions. The methods provide a replicable framework for examining population-level impacts of phenomena and highlight opportunities for expanding trauma research.},
}

Humans
Adolescent
*Disasters
United States/epidemiology
*Mental Health/statistics & numerical data
Male
Female
*Depression/epidemiology
*Datasets as Topic
Databases, Factual

@article {pmid40175550,
year = {2025},
author = {Pärtel, M and Tamme, R and Carmona, CP and Riibak, K and Moora, M and Bennett, JA and Chiarucci, A and Chytrý, M and de Bello, F and Eriksson, O and Harrison, S and Lewis, RJ and Moles, AT and Öpik, M and Price, JN and Amputu, V and Askarizadeh, D and Atashgahi, Z and Aubin, I and Azcárate, FM and Barrett, MD and Bashirzadeh, M and Bátori, Z and Beenaerts, N and Bergholz, K and Birkeli, K and Biurrun, I and Blanco-Moreno, JM and Bloodworth, KJ and Boisvert-Marsh, L and Boldgiv, B and Brancalion, PHS and Brearley, FQ and Brown, C and Bueno, CG and Buffa, G and Cahill, JF and Campos, JA and Cangelmi, G and Carbognani, M and Carcaillet, C and Cerabolini, BEL and Chevalier, R and Clavel, JS and Costa, JM and Cousins, SAO and Čuda, J and Dairel, M and Dalle Fratte, M and Danilova, A and Davison, J and Deák, B and Del Vecchio, S and Dembicz, I and Dengler, J and Dolezal, J and Domene, X and Dvorsky, M and Ejtehadi, H and Enrico, L and Epikhin, D and Eskelinen, A and Essl, F and Fan, G and Fantinato, E and Fazlioglu, F and Fernández-Pascual, E and Ferrara, A and Fidelis, A and Fischer, M and Flagmeier, M and Forte, TGW and Fraser, LH and Fujinuma, J and Furquim, FF and Garris, B and Garris, HW and Giorgis, MA and Giusso Del Galdo, G and González-Robles, A and Good, MK and Guardiola, M and Guarino, R and Guerrero, I and Guillemot, J and Güler, B and Guo, Y and Haesen, S and Hejda, M and Heleno, RH and Høye, TT and Hrivnák, R and Huang, Y and Hunter, JT and Iakushenko, D and Ibáñez, R and Ingerpuu, N and Irl, SDH and Janíková, E and Jansen, F and Jeltsch, F and Jentsch, A and Jiménez-Alfaro, B and Jõks, M and Jouri, MH and Karami, S and Katal, N and Kelemen, A and Khairullin, BI and Khuroo, AA and Komatsu, KJ and Konečná, M and Kook, E and Korell, L and Koroleva, N and Korznikov, KA and Kozhevnikova, MV and Kozub, Ł and Laanisto, L and Lager, H and Lanta, V and Lasagno, RG and Lembrechts, JJ and Li, L and Lisner, A and Liu, H and Liu, K and Liu, X and Lucas-Borja, ME and Ludewig, K and Lukács, K and Luther-Mosebach, J and Macek, P and Marignani, M and Michalet, R and Miglécz, T and Moeslund, JE and Moeys, K and Montesinos, D and Moreno-Jiménez, E and Moysiyenko, I and Mucina, L and Muñoz-Rojas, M and Murillo, RA and Nambahu, SM and Neuenkamp, L and Normand, S and Nowak, A and Nuche, P and Oja, T and Onipchenko, VG and Pachedjieva, KL and Paganeli, B and Peco, B and Peralta, AML and Pérez-Haase, A and Peri, PL and Petraglia, A and Peyre, G and Plaza-Álvarez, PA and Plue, J and Prentice, HC and Prokhorov, VE and Radujković, D and Rahmanian, S and Reitalu, T and Ristow, M and Robin, AA and Robles, AB and Rodríguez Ginart, DA and Román, R and Roos, RE and Rosati, L and Sádlo, J and Salimbayeva, K and Sánchez de Dios, R and Sanchir, K and Sattler, C and Scasta, JD and Schmiedel, U and Schrader, J and Schultz, NL and Sellan, G and Serra-Diaz, JM and Silan, G and Skálová, H and Skobel, N and Sonkoly, J and Štajerová, K and Svitková, I and Świerszcz, S and Tanentzap, AJ and Tanentzap, FM and Tarifa, R and Tejero, P and Tekeev, DK and Tholin, M and Thormodsæter, RS and Tian, Y and Tokaryuk, A and Tölgyesi, C and Tomaselli, M and Tordoni, E and Török, P and Tóthmérész, B and Toussaint, A and Touzard, B and Trindade, DPF and Tsakalos, JL and Türkiş, S and Valencia, E and Valerio, M and Valkó, O and Van Meerbeek, K and Vandvik, V and Villellas, J and Virtanen, R and Vítková, M and Vojík, M and von Hessberg, A and von Oppen, J and Wagner, V and Wan, JZ and Wang, CJ and Wani, SA and Weiss, L and Wevill, T and Xiao, S and Zárate Martínez, O and Zobel, M},
title = {Global impoverishment of natural vegetation revealed by dark diversity.},
journal = {Nature},
volume = {},
number = {},
pages = {},
pmid = {40175550},
issn = {1476-4687},
abstract = {Anthropogenic biodiversity decline threatens the functioning of ecosystems and the many benefits they provide to humanity[1]. As well as causing species losses in directly affected locations, human influence might also reduce biodiversity in relatively unmodified vegetation if far-reaching anthropogenic effects trigger local extinctions and hinder recolonization. Here we show that local plant diversity is globally negatively related to the level of anthropogenic activity in the surrounding region. Impoverishment of natural vegetation was evident only when we considered community completeness: the proportion of all suitable species in the region that are present at a site. To estimate community completeness, we compared the number of recorded species with the dark diversity-ecologically suitable species that are absent from a site but present in the surrounding region[2]. In the sampled regions with a minimal human footprint index, an average of 35% of suitable plant species were present locally, compared with less than 20% in highly affected regions. Besides having the potential to uncover overlooked threats to biodiversity, dark diversity also provides guidance for nature conservation. Species in the dark diversity remain regionally present, and their local populations might be restored through measures that improve connectivity between natural vegetation fragments and reduce threats to population persistence.},
}

@article {pmid40173850,
year = {2025},
author = {Vivien, R and Martin, P},
title = {Maintaining taxonomic accuracy in genetic databases: A duty for taxonomists-Reanalysis of the DNA sequences from Mercan et al. (2024) on the genus Potamothrix (Annelida, Clitellata) in Turkish lakes.},
journal = {Zootaxa},
volume = {5575},
number = {4},
pages = {555-562},
doi = {10.11646/zootaxa.5575.4.5},
pmid = {40173850},
issn = {1175-5334},
mesh = {Turkey ; Animals ; Lakes ; Phylogeny ; *Databases, Genetic/standards ; *Databases, Nucleic Acid/standards ; Sequence Analysis, DNA ; *Polychaeta/classification/genetics ; },
abstract = {Public DNA sequence databases such as GenBank are widely used for identification of organisms in ecological and taxonomic studies. It is important that these public databases contain as few mistakes as possible and that any errors detected in these databases are reported. Here, we reanalyzed the COI sequences of Mercan et al. (2024) and showed that they were mistakenly considered by these authors as belonging to different populations (haplotypes) within the species Potamothrix hammoniensis (Tubificinae). We found that they corresponded to four distinct Tubificinae lineages (species), Pothamothrix alatus paravanicus, Potamothrix bavaricus, Tubifex sp. and Potamothrix sp. Despite these identification errors, the data from Mercan et al. (2024) remain interesting as they provide new information on the diversity of the genus Potamothrix in Turkey. Prompt measures must be taken to correct these errors and prevent them from being detrimental to future studies.},
}

Turkey
Animals
Lakes
Phylogeny
*Databases, Genetic/standards
*Databases, Nucleic Acid/standards
Sequence Analysis, DNA
*Polychaeta/classification/genetics

@article {pmid40111995,
year = {2025},
author = {Eales, O and Shearer, FM and McCaw, JM},
title = {How immunity shapes the long-term dynamics of influenza H3N2.},
journal = {PLoS computational biology},
volume = {21},
number = {3},
pages = {e1012893},
pmid = {40111995},
issn = {1553-7358},
mesh = {Humans ; *Influenza, Human/immunology/epidemiology/transmission/virology ; *Influenza A Virus, H3N2 Subtype/immunology/genetics ; Computational Biology ; *Models, Immunological ; Adult ; Aged ; Middle Aged ; Adolescent ; },
abstract = {Since its emergence in 1968, influenza A H3N2 has caused yearly epidemics in temperate regions. While infection confers immunity against antigenically similar strains, new antigenically distinct strains that evade existing immunity regularly emerge ('antigenic drift'). Immunity at the individual level is complex, depending on an individual's lifetime infection history. An individual's first infection with influenza typically elicits the greatest response with subsequent infections eliciting progressively reduced responses ('antigenic seniority'). The combined effect of individual-level immune responses and antigenic drift on the epidemiological dynamics of influenza are not well understood. Here we develop an integrated modelling framework of influenza transmission, immunity, and antigenic drift to show how individual-level exposure, and the build-up of population level immunity, shape the long-term epidemiological dynamics of H3N2. Including antigenic seniority in the model, we observe that following an initial decline after the pandemic year, the average annual attack rate increases over the next 80 years, before reaching an equilibrium, with greater increases in older age-groups. Our analyses suggest that the average attack rate of H3N2 is still in a growth phase. Further increases, particularly in the elderly, may be expected in coming decades, driving an increase in healthcare demand due to H3N2 infections.},
}

Humans
*Influenza, Human/immunology/epidemiology/transmission/virology
*Influenza A Virus, H3N2 Subtype/immunology/genetics
Computational Biology
*Models, Immunological
Adult
Aged
Middle Aged
Adolescent

@article {pmid39880083,
year = {2025},
author = {Vande Moortele, T and Verschaffelt, P and Huang, Q and Doncheva, NT and Holstein, T and Jachmann, C and Dawyndt, P and Martens, L and Mesuere, B and Van Den Bossche, T},
title = {PathwayPilot: A User-Friendly Tool for Visualizing and Navigating Metabolic Pathways.},
journal = {Molecular & cellular proteomics : MCP},
volume = {24},
number = {3},
pages = {100918},
pmid = {39880083},
issn = {1535-9484},
mesh = {*Software ; *Metabolic Networks and Pathways ; Humans ; *Proteomics/methods ; Gastrointestinal Microbiome ; User-Computer Interface ; Proteome/metabolism ; *Computational Biology/methods ; Caloric Restriction ; },
abstract = {Metaproteomics, the study of collective proteomes in environmental communities, plays a crucial role in understanding microbial functionalities affecting ecosystems and human health. Pathway analysis offers structured insights into the biochemical processes within these communities. However, no existing tool effectively combines pathway analysis with peptide- or protein-level data. We here introduce PathwayPilot, a web-based application designed to improve metaproteomic data analysis by integrating pathway analysis with peptide- and protein-level data, filling a critical gap in current metaproteomics bioinformatics tools. By allowing users to compare functional annotations across different samples or multiple organisms within a sample, PathwayPilot provides valuable insights into microbial functions. In the re-analysis of a study examining the effects of caloric restriction on gut microbiota, the tool successfully identified shifts in enzyme expressions linked to short-chain fatty acid biosynthesis, aligning with its original findings. PathwayPilot's user-friendly interface and robust capabilities make it a significant advancement in metaproteomics, with the potential for widespread application in microbial ecology and health sciences. All code is open source under the Apache2 license and is available at https://pathwaypilot.ugent.be.},
}

*Software
*Metabolic Networks and Pathways
Humans
*Proteomics/methods
Gastrointestinal Microbiome
User-Computer Interface
Proteome/metabolism
*Computational Biology/methods
Caloric Restriction

@article {pmid39609363,
year = {2025},
author = {Xu, S and Akhatayeva, Z and Liu, J and Feng, X and Yu, Y and Badaoui, B and Esmailizadeh, A and Kantanen, J and Amills, M and Lenstra, JA and Johansson, AM and Coltman, DW and Liu, GE and Curik, I and Orozco-terWengel, P and Paiva, SR and Zinovieva, NA and Zhang, L and Yang, J and Liu, Z and Wang, Y and Yu, Y and Li, M},
title = {Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations.},
journal = {Science China. Life sciences},
volume = {68},
number = {4},
pages = {934-960},
pmid = {39609363},
issn = {1869-1889},
mesh = {Animals ; *Livestock/genetics ; *Genomics/methods ; *Breeding/methods ; *Ruminants/genetics ; *Genome ; Phenotype ; Multiomics ; },
abstract = {Ruminant livestock provide a rich source of products, such as meat, milk, and wool, and play a critical role in global food security and nutrition. Over the past few decades, genomic studies of ruminant livestock have provided valuable insights into their domestication and the genetic basis of economically important traits, facilitating the breeding of elite varieties. In this review, we summarize the main advancements for domestic ruminants in reference genome assemblies, population genomics, and the identification of functional genes or variants for phenotypic traits. These traits include meat and carcass quality, reproduction, milk production, feed efficiency, wool and cashmere yield, horn development, tail type, coat color, environmental adaptation, and disease resistance. Functional genomic research is entering a new era with the advancements of graphical pangenomics and telomere-to-telomere (T2T) gap-free genome assembly. These advancements promise to improve our understanding of domestication and the molecular mechanisms underlying economically important traits in ruminant livestock. Finally, we provide new perspectives and future directions for genomic research on ruminant genomes. We suggest how ever-increasing multiomics datasets will facilitate future studies and molecular breeding in livestock, including the potential to uncover novel genetic mechanisms underlying phenotypic traits, to enable more accurate genomic prediction models, and to accelerate genetic improvement programs.},
}

Animals
*Livestock/genetics
*Genomics/methods
*Breeding/methods
*Ruminants/genetics
*Genome
Phenotype
Multiomics

@article {pmid40175491,
year = {2025},
author = {Zhang, H and Guo, G and Li, H and Wang, T and Ni, J and Meng, H},
title = {A new numerical method for calculating residual deformation in mined-out areas considering water-rock interaction and its application.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {11207},
pmid = {40175491},
issn = {2045-2322},
support = {2023YFC3804201//National Key R&D Program of China/ ; },
abstract = {Globally, extensive land regions have fallen victim to coal mining subsidence, rendering the reuse of goaf sites a crucial concern. The residual deformation amount of these sites is the linchpin for determining their reusability. Presently, numerical computations of residual deformation in goafs, which overlook water-rock coupling, breed significant errors, posing severe threats to the safety of on-site structures. To remedy the situation, this research hinges on the mechanical experiment results of fractured rock masses under water-rock interaction within the goaf. By leveraging an embedded programming language, it pinpoints the irregular damage range of overlying strata due to water-rock effects. Then, corresponding mechanical parameters are allocated to the surrounding rocks at diverse spatial positions, with the erosive impact of water-soaked coal pillars also factored in. This gives rise to a novel numerical method that more precisely gauges groundwater's influence on strata movement and surface subsidence. Using the 01 working face of a Shandong mine as a practical backdrop, the new method verifies its reliability and accuracy. When contrasted with traditional approaches, be it neglecting water filling or assuming full saturation in the goaf, it slashes the calculation error by 20%, furnishing new approaches for residual deformation calculation and novel perspectives for evaluating site stability under complex geological conditions.},
}

@article {pmid40171521,
year = {2025},
author = {Boyes, D and Hutchinson, F and Crowley, LM and , and , and , and , and , and , and , },
title = {The genome sequence of the Large Birch Bell moth, Large Birch Roller, Epinotia brunnichana (Linnaeus, 1767).},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {101},
pmid = {40171521},
issn = {2398-502X},
abstract = {We present a genome assembly from a female Epinotia brunnichana (Large Birch Bell, Large Birch Roller; Arthropoda; Insecta; Lepidoptera; Tortricidae). The genome sequence has a total length of 943.10 megabases. Most of the assembly (99.68%) is scaffolded into 29 chromosomal pseudomolecules, including the W and Z sex chromosomes. The mitochondrial genome has also been assembled and is 15.7 kilobases in length. Gene annotation of this assembly on Ensembl identified 12,003 protein-coding genes.},
}

@article {pmid40170100,
year = {2025},
author = {Sato, K and Watanabe, S and Noda, T and Koizumi, T and Yoda, K and Watanabe, YY and Sakamoto, KQ and Isokawa, T and Yoshida, MA and Aoki, K and Takahashi, A and Iwata, T and Nishizawa, H and Maekawa, T and Kawabe, R and Watanuki, Y},
title = {Biologging intelligent Platform (BiP): an integrated and standardized platform for sharing, visualizing, and analyzing biologging data.},
journal = {Movement ecology},
volume = {13},
number = {1},
pages = {23},
pmid = {40170100},
issn = {2051-3933},
abstract = {Sharing biologging data can facilitate collaborative research and biological conservation by providing maps showing animals' distribution and movements. It is a critical social mission to preserve not only horizontal position data, but also behavioral data such as diving depth, flight altitude, speed, and acceleration, as well as physiological data such as body temperature, along with related metadata, ensuring their preservation for future generation. Moreover, although biologging was initially developed in the field of biology, it now contributes to diverse fields such as meteorology and oceanography, leading to expanded opportunities for secondary data utilization. In light of social and academic requirements, we developed "Biologging intelligent Platform (BiP)", which adheres to internationally recognized standards for sensor data and metadata storage. As a result, BiP not only stores sensor data along with metadata but also standardizes this information to facilitate secondary data analysis, facilitating broader applications of biologging data across various disciplines. By visiting the website (https://www.bip-earth.com) and completing the user registration, data owners can interactively upload sensor data, input metadata associated with individual animals, devices, and deployments, standardize data formats, and choose between open and private settings for sharing data. Anyone interested in utilizing the data can access metadata and visualized route maps, irrespective of the data's open or private status. Users can freely download open datasets that are available under the CC BY 4.0 license, which permits copying, redistribution, and modification while adhering to the metadata's credit requirements. To use private datasets, users can contact the data owner to request permission. A unique feature of BiP is the Online Analytical Processing (OLAP) tools that calculate environmental parameters, such as surface currents, ocean winds, and waves from data collected by animals. Algorithms published in some previous studies are integrated into the OLAP which can estimate the environmental and behavioral parameters. To enhance data accessibility, BiP allows users to search for datasets using the DOI of the paper in which the data was used. We believe that linking with other databases for data exchange and multi-repository storage could enhance the sustainability of the data itself.},
}

@article {pmid39934999,
year = {2025},
author = {De Moor, D and Skelton, M and , and Amici, F and Arlet, ME and Balasubramaniam, KN and Ballesta, S and Berghänel, A and Berman, CM and Bernstein, SK and Bhattacharjee, D and Bliss-Moreau, E and Brotcorne, F and Butovskaya, M and Campbell, LAD and Carosi, M and Chatterjee, M and Cooper, MA and Cowl, VB and De la O, C and De Marco, A and Dettmer, AM and Dhawale, AK and Erinjery, JJ and Evans, CL and Fischer, J and García-Nisa, I and Giraud, G and Hammer, R and Hansen, MF and Holzner, A and Kaburu, S and Konečná, M and Kumara, HN and Larrivaz, M and Leca, JB and Legrand, M and Lehmann, J and Li, JH and Lezé, AS and MacIntosh, A and Majolo, B and Maréchal, L and Marty, PR and Massen, JJM and Maulany, RI and McCowan, B and McFarland, R and Merieau, P and Meunier, H and Micheletta, J and Mishra, PS and Sah, SAM and Molesti, S and Morrow, KS and Müller-Klein, N and Ngakan, PO and Palagi, E and Petit, O and Pflüger, LS and di Sorrentino, EP and Raghaven, R and Raimbault, G and Ram, S and Reichard, UH and Riley, EP and Rincon, AV and Ruppert, N and Sadoughi, B and Santhosh, K and Schino, G and Sheeran, LK and Silk, JB and Singh, M and Sinha, A and Sosa, S and Stribos, MS and Sueur, C and Tiddi, B and Tkaczynski, PJ and Trebouet, F and Widdig, A and Whitehouse, J and Wooddell, LJ and Xia, DP and von Fersen, L and Young, C and Schülke, O and Ostner, J and Neumann, C and Duboscq, J and Brent, LJN},
title = {MacaqueNet: Advancing comparative behavioural research through large-scale collaboration.},
journal = {The Journal of animal ecology},
volume = {94},
number = {4},
pages = {519-534},
doi = {10.1111/1365-2656.14223},
pmid = {39934999},
issn = {1365-2656},
support = {864461//H2020 European Research Council/ ; LSC-AF2023_03//Leibniz ScienceCampus EEGA/ ; },
mesh = {Animals ; *Behavioral Research/methods ; Macaca/physiology ; Behavior, Animal ; Databases, Factual ; Social Behavior ; },
abstract = {There is a vast and ever-accumulating amount of behavioural data on individually recognised animals, an incredible resource to shed light on the ecological and evolutionary drivers of variation in animal behaviour. Yet, the full potential of such data lies in comparative research across taxa with distinct life histories and ecologies. Substantial challenges impede systematic comparisons, one of which is the lack of persistent, accessible and standardised databases. Big-team approaches to building standardised databases offer a solution to facilitating reliable cross-species comparisons. By sharing both data and expertise among researchers, these approaches ensure that valuable data, which might otherwise go unused, become easier to discover, repurpose and synthesise. Additionally, such large-scale collaborations promote a culture of sharing within the research community, incentivising researchers to contribute their data by ensuring their interests are considered through clear sharing guidelines. Active communication with the data contributors during the standardisation process also helps avoid misinterpretation of the data, ultimately improving the reliability of comparative databases. Here, we introduce MacaqueNet, a global collaboration of over 100 researchers (https://macaquenet.github.io/) aimed at unlocking the wealth of cross-species data for research on macaque social behaviour. The MacaqueNet database encompasses data from 1981 to the present on 61 populations across 14 species and is the first publicly searchable and standardised database on affiliative and agonistic animal social behaviour. We describe the establishment of MacaqueNet, from the steps we took to start a large-scale collective, to the creation of a cross-species collaborative database and the implementation of data entry and retrieval protocols. We share MacaqueNet's component resources: an R package for data standardisation, website code, the relational database structure, a glossary and data sharing terms of use. With all these components openly accessible, MacaqueNet can act as a fully replicable template for future endeavours establishing large-scale collaborative comparative databases.},
}

Animals
*Behavioral Research/methods
Macaca/physiology
Behavior, Animal
Databases, Factual
Social Behavior

@article {pmid39760247,
year = {2025},
author = {Lee, CE and Messer, LF and Wattiez, R and Matallana-Surget, S},
title = {Decoding Microbial Plastic Colonisation: Multi-Omic Insights Into the Fast-Evolving Dynamics of Early-Stage Biofilms.},
journal = {Proteomics},
volume = {25},
number = {7},
pages = {e202400208},
doi = {10.1002/pmic.202400208},
pmid = {39760247},
issn = {1615-9861},
support = {//Joint UKRI Natural Environment Research Council (NERC) and National Research Foundation (NRF) Singapore/ ; NE/V009621/1//UKRI NERC/NRF/ ; NRF-SEAP-2020-0001//UKRI NERC/NRF/ ; NE/S007342/1//NERC Scottish Universities Partnership for Environmental Research (SUPER) Doctoral Training Partnership (DTP)/ ; },
mesh = {*Biofilms/growth & development ; *Bacterial Proteins/metabolism/genetics ; Proteomics/methods ; Plastics/metabolism ; Proteome/metabolism/analysis ; Bacteria/genetics/metabolism/classification ; Microbiota/genetics/physiology ; Metagenome/genetics ; Polyethylene/metabolism ; Metagenomics/methods ; Multiomics ; },
abstract = {Marine plastispheres represent dynamic microhabitats where microorganisms colonise plastic debris and interact. Metaproteomics has provided novel insights into the metabolic processes within these communities; however, the early metabolic interactions driving the plastisphere formation remain unclear. This study utilised metaproteomic and metagenomic approaches to explore early plastisphere formation on low-density polyethylene (LDPE) over 3 (D3) and 7 (D7) days, focusing on microbial diversity, activity and biofilm development. In total, 2948 proteins were analysed, revealing dominant proteomes from Pseudomonas and Marinomonas, with near-complete metagenome-assembled genomes (MAGs). Pseudomonas dominated at D3, whilst at D7, Marinomonas, along with Acinetobacter, Vibrio and other genera became more prevalent. Pseudomonas and Marinomonas showed high expression of reactive oxygen species (ROS) suppression proteins, associated with oxidative stress regulation, whilst granule formation, and alternative carbon utilisation enzymes, also indicated nutrient limitations. Interestingly, 13 alkanes and other xenobiotic degradation enzymes were expressed by five genera. The expression of toxins, several type VI secretion system (TVISS) proteins, and biofilm formation proteins by Pseudomonas indicated their competitive advantage against other taxa. Upregulated metabolic pathways relating to substrate transport also suggested enhanced nutrient cross-feeding within the more diverse biofilm community. These insights enhance our understanding of plastisphere ecology and its potential for biotechnological applications.},
}

*Biofilms/growth & development
*Bacterial Proteins/metabolism/genetics
Proteomics/methods
Plastics/metabolism
Proteome/metabolism/analysis
Bacteria/genetics/metabolism/classification
Microbiota/genetics/physiology
Metagenome/genetics
Polyethylene/metabolism
Metagenomics/methods
Multiomics

@article {pmid39660842,
year = {2025},
author = {Xu, C and Song, LY and Li, J and Zhang, LD and Guo, ZJ and Ma, DN and Dai, MJ and Li, QH and Liu, JY and Zheng, HL},
title = {MangroveDB: A Comprehensive Online Database for Mangroves Based on Multi-Omics Data.},
journal = {Plant, cell & environment},
volume = {48},
number = {5},
pages = {2950-2962},
doi = {10.1111/pce.15318},
pmid = {39660842},
issn = {1365-3040},
support = {//This work was supported by the Natural Science Foundation of China (NSFC) (32171740, 31870581); the National Key Research and Development Program of China (2017YFC0506102)/ ; },
mesh = {*Databases, Genetic ; Transcriptome ; Avicennia/genetics ; Gene Expression Profiling ; Computational Biology/methods ; Multiomics ; },
abstract = {Mangroves are dominant flora of intertidal zones along tropical and subtropical coastline around the world that offer important ecological and economic value. Recently, the genomes of mangroves have been decoded, and massive omics data were generated and deposited in the public databases. Reanalysis of multi-omics data can provide new biological insights excluded in the original studies. However, the requirements for computational resource and lack of bioinformatics skill for experimental researchers limit the effective use of the original data. To fill this gap, we uniformly processed 942 transcriptome data, 386 whole-genome sequencing data, and provided 13 reference genomes and 40 reference transcriptomes for 53 mangroves. Finally, we built an interactive web-based database platform MangroveDB (https://github.com/Jasonxu0109/MangroveDB), which was designed to provide comprehensive gene expression datasets to facilitate their exploration and equipped with several online analysis tools, including principal components analysis, differential gene expression analysis, tissue-specific gene expression analysis, GO and KEGG enrichment analysis. MangroveDB not only provides query functions about genes annotation, but also supports some useful visualization functions for analysis results, such as volcano plot, heatmap, dotplot, PCA plot, bubble plot, population structure, and so on. In conclusion, MangroveDB is a valuable resource for the mangroves research community to efficiently use the massive public omics datasets.},
}

*Databases, Genetic
Transcriptome
Avicennia/genetics
Gene Expression Profiling
Computational Biology/methods
Multiomics

@article {pmid40168108,
year = {2025},
author = {Wang, TY and Wu, YW and Lu, HJ and Liao, TY and Tai, JH and Huang, SP and Wang, FY and Yu, TH and Ting, CT and Chaw, SM and Wang, HY},
title = {Chromosome-Level Genome Assembly of the Loach Goby Rhyacichthys aspro Offers Insights Into Gobioidei Evolution.},
journal = {Molecular ecology resources},
volume = {},
number = {},
pages = {e14110},
doi = {10.1111/1755-0998.14110},
pmid = {40168108},
issn = {1755-0998},
support = {23-23//Biodiversity Research Center, Academia Sinica/ ; MOST 102-2311-B-001-019//National Science and Technology Council/ ; MOST 108-2621-B-001-002//National Science and Technology Council/ ; MOST 109-2311-B-002-023-MY3//National Science and Technology Council/ ; 113L7223//National Taiwan University/ ; },
abstract = {The percomorph fish clade Gobioidei is a suborder that comprises over 2200 species distributed in nearly all aquatic habitats. To understand the genetics underlying their species diversification, we sequenced and annotated the genome of the loach goby, Rhyacichthys aspro, an early-diverging group, and compared it with nine additional Gobioidei species. Within Gobioidei, the loach goby possesses the smallest genome at 594 Mb, and a rise in species diversity from early-diverging to more recently diverged lineages is mirrored by enlarged genomes and a higher presence of transposable elements (TEs), particularly DNA transposons. These DNA transposons are enriched in genic and regulatory regions and their copy number increase is strongly correlated with substitution rate, suggesting that DNA repair after transposon excision/insertion leads to nearby mutations. Consequently, the proliferation of DNA transposons might be the crucial driver of Gobioidei diversification and adaptability. The loach goby genome also points to mechanisms of ecological adaptation. It contains relatively few genes for lateral line development but an overrepresentation of synaptic function genes, with genes putatively under selection linked to synapse organisation and calcium signalling, implicating a sensory system distinct from other Gobioidei species. We also see an overabundance of genes involved in neurocranium development and renal function, adaptations likely connected to its flat morphology suited for strong currents and an amphidromous life cycle. Comparative analyses with hill-stream loaches and the European eel reveal convergent adaptations in body shape and saltwater balance. These findings shed new light on the loach goby's survival mechanisms and the broader evolutionary trends within Gobioidei.},
}

@article {pmid40165685,
year = {2025},
author = {Gu, Y and Meng, L and Wang, Y and Wu, Z and Pan, Y and Zhao, Y and Detto, M and Wu, J},
title = {Uncovering the role of solar radiation and water stress factors in constraining decadal intra-site spring phenology variability in diverse ecosystems across the Northern Hemisphere.},
journal = {The New phytologist},
volume = {},
number = {},
pages = {},
doi = {10.1111/nph.70104},
pmid = {40165685},
issn = {1469-8137},
support = {#2017804//Carbon Mitigation Initiative of Princeton University and NSF grant/ ; //HKU Seed Funding for Strategic Interdisciplinary Research Scheme/ ; #17305321//Hong Kong Research Grant Council General Research Fund/ ; #C5062-21GF//Hong Kong Research Grant Council Collaborative Research Fund/ ; #31922090//National Natural Science Foundation of China/ ; //Innovation and Technology Fund (funding support to State Key Laboratories of Agrobiotechnology)/ ; //HKU Science Faculty RAE Improvement Fund 2023-24/ ; },
abstract = {The spring phenology has advanced significantly over recent decades with climate change, impacting large-scale biogeochemical cycles, climate feedback, and other essential ecosystem processes. Although numerous prognostic models have been developed for spring phenology, regional analyses of the optimality (OPT) strategy model that incorporate environmental variables beyond temperature and photoperiod remain lacking. We investigated the roles of solar radiation (SR) and three water stress factors (precipitation (P), soil moisture, and vapor pressure deficit (VPD)) on spring phenology from 1982 to 2015 using the OPT model with Global Inventory Modeling and Mapping Studies NDVI3g dataset and environmental data from TerraClimate, CRU_TS, and Global Land Data Assimilation System across the Northern Hemisphere (> 30°N). Our results show that SR and water stress factors significantly impacted intrasite decadal spring phenology variability, with water stress factors dominant in grassland ecosystems while SR dominated in the rest of the ecosystem types. Enhanced models incorporating SR (OPT-S) and VPD (OPT-VPD) outperformed the original OPT model, likely due to improved representation of the adaptive strategy of spring phenology to optimize photosynthetic carbon gain while minimizing frost risk. Our research enhances the understanding of the key environmental drivers influencing decadal spring phenology variation in the Northern Hemisphere and contributes to more accurate forecasts of ecological responses to global environmental change.},
}

@article {pmid40155956,
year = {2025},
author = {van Kessel, SAM and Wielders, CCH and Schoffelen, AF and Verbon, A},
title = {Enhancing antimicrobial resistance surveillance and research: a systematic scoping review on the possibilities, yield and methods of data linkage studies.},
journal = {Antimicrobial resistance and infection control},
volume = {14},
number = {1},
pages = {25},
pmid = {40155956},
issn = {2047-2994},
mesh = {Humans ; *Drug Resistance, Bacterial ; Anti-Bacterial Agents/pharmacology/therapeutic use ; Antimicrobial Stewardship ; Information Storage and Retrieval ; },
abstract = {BACKGROUND: Surveillance data on antimicrobial resistance (AMR) determinants such as antibiotic use, prevalence of AMR, antimicrobial stewardship, and infection prevention and control are mostly analysed and reported separately, although they are inextricably linked to each other. The impact of surveillance and research can be enhanced by linking these data. This systematic scoping review aims to summarize the studies that link AMR data and evaluate whether they yield new results, implications, or recommendations for practice.

METHODS: For this review, data linkage is defined as the process of linking records, from at least two independent data sources on either (I) at least two AMR determinants or (II) one AMR determinant and one or more general population characteristics. Data linkage should be performed on the level of a certain entity which, in the context of this review, can encompass persons, healthcare institutes, geographical regions or countries. A systematic literature search was performed on February 7th 2025 in Embase.com, PubMed and Scopus to identify AMR data linkage studies.

RESULTS: Forty-eight articles were included in our review. Most data linkage studies used two data sources, and most studies were published in the last 5 years (n = 23 in 2020-2024). A predominance of studies linked data on geographical location, and thirteen studies linked data on individual patient level. Findings demonstrate that the majority of studies (43/48) had added value and provided recommendations for clinical practice and future policies or had suggestions for further research and surveillance. Additionally, data linkage studies appeared to be suitable for hypothesis generating. Several limitations were identified. Most studies had ecological designs, which are prone to ecological fallacy and unobserved confounding, making it hard to establish causality.

CONCLUSION: This systematic scoping review showed that AMR data linkage studies are increasingly performed. They have potential to gain a more comprehensive understanding of AMR dynamics by generating hypotheses, assisting in optimisation of surveillance, and interpretation of data in the context of guideline/policy development. To increase the added value of data linkage, more studies should be performed to improve knowledge on methodological approaches, data access, data management, and governance issues.

CLINICAL TRIAL NUMBER: Not applicable.},
}

Humans
*Drug Resistance, Bacterial
Anti-Bacterial Agents/pharmacology/therapeutic use
Antimicrobial Stewardship
Information Storage and Retrieval

@article {pmid40036964,
year = {2025},
author = {Jyoti, J and Hütt, MT},
title = {Evaluating changes in attractor sets under small network perturbations to infer reliable microbial interaction networks from abundance patterns.},
journal = {Bioinformatics (Oxford, England)},
volume = {41},
number = {4},
pages = {},
doi = {10.1093/bioinformatics/btaf095},
pmid = {40036964},
issn = {1367-4811},
mesh = {*Algorithms ; Humans ; *Microbial Interactions ; Microbiota ; Computational Biology/methods ; },
abstract = {MOTIVATION: Inferring microbial interaction networks from microbiome data is a core task of computational ecology. An avenue of research to create reliable inference methods is based on a stylized view of microbiome data, starting from the assumption that the presences and absences of microbiomes, rather than the quantitative abundances, are informative about the underlying interaction network. With this starting point, inference algorithms can be based on the notion of attractors (asymptotic states) in Boolean networks. Boolean network framework offers a computationally efficient method to tackle this problem. However, often existing algorithms operating under a Boolean network assumption, fail to provide networks that can reproduce the complete set of initial attractors (abundance patterns). Therefore, there is a need for network inference algorithms capable of reproducing the initial stable states of the system.

RESULTS: We study the change of attractors in Boolean threshold dynamics on signed undirected graphs under small changes in network architecture and show, how to leverage these relationships to enhance network inference algorithms. As an illustration of this algorithmic approach, we analyse microbial abundance patterns from stool samples of humans with inflammatory bowel disease (IBD), with colorectal cancer and from healthy individuals to study differences between the interaction networks of the three conditions. The method reveals strong diversity in IBD interaction networks. The networks are first partially deduced by an earlier inference method called ESABO, then we apply the new algorithm developed here, EDAME, to this result to generate a network that comes nearest to satisfying the original attractors.

Implementation code is freely available at https://github.com/Jojo6297/edame.git.},
}

*Algorithms
Humans
*Microbial Interactions
Microbiota
Computational Biology/methods

@article {pmid40086783,
year = {2025},
author = {Yang, JZ and Li, JH and Liu, JL and Zhou, AD and Wang, H and Xie, XL and Zhang, KK and Wang, Q},
title = {Multiomics analysis revealed the effects of polystyrene nanoplastics at different environmentally relevant concentrations on intestinal homeostasis.},
journal = {Environmental pollution (Barking, Essex : 1987)},
volume = {372},
number = {},
pages = {126050},
doi = {10.1016/j.envpol.2025.126050},
pmid = {40086783},
issn = {1873-6424},
mesh = {Animals ; Mice ; *Polystyrenes/toxicity ; *Homeostasis/drug effects ; *Gastrointestinal Microbiome/drug effects ; Microplastics/toxicity ; Nanoparticles/toxicity ; Male ; Mice, Inbred C57BL ; Colon/drug effects ; Intestines/drug effects ; Multiomics ; },
abstract = {Nanoplastics pollution is a global issue, with the digestive tract being one of the first affected organs, requiring further research on its impact on intestinal health. This study involved orally exposing mice to polystyrene nanoplastics (PS-NPs) at doses of 0.1, 0.5, or 2.5 mg/d for 42 days. The effects on intestinal health were thoroughly assessed via microbiomics, metabolomics, transcriptomics, and molecular biology. Our study demonstrated that the administration of all three doses of PS-NPs resulted in increased colonic permeability, heightened colonic and peripheral inflammation, reduced levels of antimicrobial peptides, and shortened colonic length. These effects may be attributed to a reduction in the abundance of probiotic bacteria, such as Clostridia_UCG-014, Roseburia, and Akkermansia, alongside an increase in the abundance of the pathogenic bacterium Desulfovibrionaceae induced by PS-NPs. Furthermore, we underscored the crucial role of histidine metabolism in PS-NPs-induced colonic injury, characterized by a significant reduction of L-histidine, which is closely related to microbial ecological dysregulation. Corresponding to microbiota deterioration and metabolic dysregulation, transcriptome analysis revealed that PS-NPs may disrupt colonic immune homeostasis by activating the TLR4/MyD88/NF-κB/NLRP3 signaling pathway. In conclusion, this study provided novel insights into the mechanisms by which PS-NPs disrupt intestinal homeostasis through integrated multiomics analysis, revealing critical molecular pathway and providing a scientific basis for future risk assessment of nanoplastics exposure.},
}

Animals
Mice
*Polystyrenes/toxicity
*Homeostasis/drug effects
*Gastrointestinal Microbiome/drug effects
Microplastics/toxicity
Nanoparticles/toxicity
Male
Mice, Inbred C57BL
Colon/drug effects
Intestines/drug effects
Multiomics

@article {pmid40155652,
year = {2025},
author = {Rehbein, M and Escobari, B and Fischer, S and Güntsch, A and Haas, B and Matheisen, G and Perschl, T and Wieshuber, A and Engel, T},
title = {Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {525},
pmid = {40155652},
issn = {2052-4463},
support = {442032008//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 442032008//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 442032008//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 442032008//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 442032008//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; },
mesh = {*Vertebrates ; Germany ; Animals ; *Biodiversity ; History, 19th Century ; Ecosystem ; Conservation of Natural Resources ; Forests ; },
abstract = {Archival collections contain an underutilized wealth of biodiversity data, encapsulated in government files and other historical documents. In 1845, the Bavarian government conducted a comprehensive national survey on the occurrence of 44 selected vertebrate species across the country. The detailed expert responses from 119 forestry offices, totalling 520 handwritten pages, have been preserved in the Bavarian State Archives. In this study, we digitized, annotated, geographically referenced, and published these historical records, making them widely available as data for research and conservation planning. Our dataset, openly accessible through the Global Biodiversity Information Facility (GBIF) and Zenodo, contains 5,467 species occurrence records from 1845. Besides the binary presence/absence data, we have also published the original textual survey responses, which contain rich qualitative information, such as species abundances, population trends, habitats, forest management practices, and human-nature relationships. This information can be further processed and interpreted to address a range of questions in historical and contemporary ecology.},
}

*Vertebrates
Germany
Animals
*Biodiversity
History, 19th Century
Ecosystem
Conservation of Natural Resources
Forests

@article {pmid40144399,
year = {2021},
author = {Boyes, D and Holland, PWH and , and , and , and , and , and , },
title = {The genome sequence of the poplar hawk-moth, Laothoe populi (Linnaeus, 1758).},
journal = {Wellcome open research},
volume = {6},
number = {},
pages = {237},
pmid = {40144399},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female Laothoe populi (the poplar hawk-moth; Arthropoda; Insecta; Lepidoptera; Sphingidae). The genome sequence is 576 megabases in span. Most of the assembly is scaffolded into 29 chromosomal pseudomolecules, with the W and Z sex chromosome assembled.},
}

@article {pmid40143245,
year = {2025},
author = {Culot, A and Abriat, G and Furlong, KP},
title = {High-Performance Genome Annotation for a Safer and Faster-Developing Phage Therapy.},
journal = {Viruses},
volume = {17},
number = {3},
pages = {},
doi = {10.3390/v17030314},
pmid = {40143245},
issn = {1999-4915},
mesh = {*Genome, Viral ; *Bacteriophages/genetics/classification ; *Molecular Sequence Annotation ; *Computational Biology/methods ; *Phage Therapy/methods ; Humans ; },
abstract = {Phage therapy, which uses phages to decrease bacterial load in an ecosystem, introduces a multitude of gene copies (bacterial and phage) into said ecosystem. While it is widely accepted that phages have a significant impact on ecology, the mechanisms underlying their impact are not well understood. It is therefore paramount to understand what is released in the said ecosystem, to avoid alterations with difficult-to-predict-but potentially huge-consequences. An in-depth annotation of therapeutic phage genomes is therefore essential. Currently, the average published phage genome has only 20-30% functionally annotated genes, which represents a hurdle to overcome to deliver safe phage therapy, for both patients and the environment. This study aims to compare the effectiveness of manual versus automated phage genome annotation methods. Twenty-seven phage genomes were annotated using SEA-PHAGE and Rime Bioinformatics protocols. The structural (gene calling) and functional annotation results were compared. The results suggest that during the structural annotation step, the SEA-PHAGE method was able to identify an average of 1.5 more genes per phage (typically a frameshift gene) and 5.3 gene start sites per phage. Despite this difference, the impact on functional annotation appeared to be limited: on average, 1.2 genes per phage had erroneous functions, caused by the structural annotation. Rime Bioinformatics' tool (rTOOLS, v2) performed better at assigning functions, especially where the SEA-PHAGE methods assigned hypothetical proteins: 7.0 genes per phage had a better functional annotation on average, compared to SEA PHAGE's 1.7. The method comparison detailed in this article indicate that (1) manual structural annotation is marginally superior to rTOOLS automated structural annotation; (2) rTOOLS automated functional annotation is superior to manual functional annotation. Previously, the only way to obtain a high-quality annotation was by using manual protocols, such as SEA-PHAGES. In the relatively new field of phage therapy, which requires support to advance, manual work can be problematic due to its high cost. Rime Bioinformatics' rTOOLS software allows for time and money to be saved by providing high-quality genome annotations that are comparable to manual results, enabling a safer and faster-developing phage therapy.},
}

*Genome, Viral
*Bacteriophages/genetics/classification
*Molecular Sequence Annotation
*Computational Biology/methods
*Phage Therapy/methods
Humans

@article {pmid40140737,
year = {2025},
author = {Tahir Ul Qamar, M and Fatima, K and Rao, MJ and Tang, Q and Sadaqat, M and Ding, B and Chen, LL and Zhu, XT},
title = {Comparative genomics profiling of Citrus species reveals the diversity and disease responsiveness of the GLP pangenes family.},
journal = {BMC plant biology},
volume = {25},
number = {1},
pages = {388},
pmid = {40140737},
issn = {1471-2229},
mesh = {*Citrus/genetics ; *Multigene Family ; *Genome, Plant ; Genomics ; Plant Diseases/genetics/microbiology ; Plant Proteins/genetics/metabolism ; Genetic Variation ; Phylogeny ; Genes, Plant ; Gene Expression Regulation, Plant ; Disease Resistance/genetics ; },
abstract = {Citrus is an important nutritional fruit globally; however, its yield is affected by various stresses. This study presents the draft pangenome of Citrus, developed using 11 species to examine their genetic diversity and identify members of the germin-like proteins (GLPs) gene family involved in disease responsiveness. The developed sequence-based pangenome contains 954 Mb sequence and 74,755 genes. The comparative genomics analysis revealed the presence-absence variations (PAVs) among the Citrus genomes and species-specific protein-coding genes. Gene-based pangenome analysis revealed 4,936 new genes missing in the reference genome and highlighted the core and shell genes with putative functions in stress regulation. The pangenome-wide identification of GLP gene family members indicated the intraspecies diversity among the members across 11 genomes by analyzing their gene structure, motifs, and chromosomal distribution patterns. The synteny and evolutionary constraints analyses of Citrus GLPs provide detailed evidence of their evolutionary conservation and divergence. Further, the interaction, functional enrichment, and promoter analysis revealed their involvement in abiotic-, biotic-stress, signaling, and development-related pathways. The expression patterns of C. sinensis GLPs were studied in Huanglongbing (HLB) and Citrus canker disease. Several genes including CsGLPs1-2 and CsGLPs8-4 showed changes in expression patterns under both disease conditions. The qRT-PCR analysis revealed that these two genes were highly expressed in leaves infected with HLB disease across seven HLB-tolerant and susceptible citrus species. This Citrus pangenome and pangenes family study offers a comprehensive resource and new insights into the structural and functional diversity, identifying candidate genes that are important for future research to understand the stress-responsive mechanisms in Citrus.},
}

*Citrus/genetics
*Multigene Family
*Genome, Plant
Genomics
Plant Diseases/genetics/microbiology
Plant Proteins/genetics/metabolism
Genetic Variation
Phylogeny
Genes, Plant
Gene Expression Regulation, Plant
Disease Resistance/genetics

@article {pmid40139213,
year = {2025},
author = {Tam, CC and Young, SD and Harrison, S and Li, X and Litwin, AH},
title = {Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial.},
journal = {JMIR research protocols},
volume = {14},
number = {},
pages = {e65847},
doi = {10.2196/65847},
pmid = {40139213},
issn = {1929-0748},
mesh = {Humans ; *Social Media ; Young Adult ; Male ; Female ; Analgesics, Opioid ; Adult ; Adolescent ; Opioid-Related Disorders/psychology ; },
abstract = {BACKGROUND: The nonmedical use of prescription opioids (NMUPO) in young adults in the United States is concerning and is robustly influenced by many psychosocial factors. Given the advantages of flexibility, wide coverage, and real-time responses and assessment, using social media appears to be a promising and innovative approach to delivering psychosocial intervention to young adults. However, few theory-based social media interventions are available for NMUPO targeting this at-risk population.

OBJECTIVE: Guided by the information-motivation-behavioral skills model, the proposed research aims to address critical gaps by theoretically exploring psychosocial content associated with NMUPO among young adults via formative assessment. These findings will then be used to develop and evaluate the feasibility and preliminary efficacy of a peer-led social media intervention to reduce NMUPO among young adults.

METHODS: The proposed study will comprise serial research activities. First, formative research will be conducted through semistructured interviews among 30 young adults engaged in NMUPO. Qualitative data will be synthesized using a pragmatic approach for identifying psychosocial content associated with NMUPO. Second, qualitative findings will be used for developing a peer-led social media intervention to reduce NMUPO among young adults by integrating promising psychotherapy principles and incorporating them with well-trained recovery coaches. Third, the social media intervention will be evaluated through a 12-week randomized controlled trial among 70 young adults (n=35, 50% in the intervention group and control group) engaged in NMUPO via mixed methods, including pre- and postintervention surveys, social media paradata (eg, time-series reactions to posts) collection, and ecological momentary assessment during the intervention. The control group will not receive an intervention but will complete the pre- and postintervention surveys. The primary outcomes will be feasibility, usability, and acceptability, while the secondary outcomes will be psychosocial and behavioral measures, such as past-3-month NMUPO, intention, psychological distress, self-efficacy, resilience, and coping strategies.

RESULTS: The proposed study was funded in May 2024. Social media campaigns have received responses from a total of 379 individuals, with 24 (6.3%) identified as eligible. As of February 10, 2025, we have completed formative interviews with 8 eligible participants.

CONCLUSIONS: The proposed study will be one of the first efforts to develop and deliver a theory-based peer-led intervention on social media, incorporating empirical findings on the psychosocial mechanism of NMUPO. The findings of the proposed study will provide valuable insights into opioid risk reduction for young adults through an innovative approach. If the tested trial is found to be feasible, the proposed study will contribute to future scaled-up and fully powered psychosocial interventions among young adults and other key populations at risk for NMUPO.

TRIAL REGISTRATION: ClincialTrials.gov NCT06469749; https://clinicaltrials.gov/study/NCT06469749.

DERR1-10.2196/65847.},
}

Humans
*Social Media
Young Adult
Male
Female
Analgesics, Opioid
Adult
Adolescent
Opioid-Related Disorders/psychology

@article {pmid40139065,
year = {2025},
author = {Sfriso, AA and Juhmani, AS and Tomio, Y and Wedyan, M and Cunsolo, F and Forlani, G and Sfriso, A and Ferretti, G and Coltorti, M and Munari, C and Mistri, M},
title = {Microbial dynamics in seagrass restoration: Unveiling hidden indicators of ecological success.},
journal = {Marine environmental research},
volume = {208},
number = {},
pages = {107089},
doi = {10.1016/j.marenvres.2025.107089},
pmid = {40139065},
issn = {1879-0291},
abstract = {Seagrass transplantation significantly alters sediment microbial communities, shaping their composition and metabolic functions. One year after Zostera marina transplantation, the microbial community structure and functions at the recipient site began shifting toward those of the donor site. Key microbial taxa associated with seagrass meadow sediment, such as Firmicutes (Hungateiclostridiaceae, Defluviitaleaceae) and Campylobacterota (Sulfurovum), increased in abundance, correlating with sediment organic matter content and carbon availability. Four functional groups were identified, each with distinct metabolic roles: (1) Opportunistic Anaerobic Degraders, (2) Seagrass-Driven Carbon Recyclers, (3) Anaerobic Fermenters and Hydrocarbon Recyclers and (4) Oxygen-Linked Carbon and Sulfur Cyclers. The sediments of transplanted Z. marina meadows exhibited increased cellulolysis and aerobic chemoheterotrophy, along with a reduction in nitrogen metabolism one year post transplant. Despite these microbial shifts, sediment isotopic signatures remained indicative of algal biomass, suggesting an incomplete transition toward a mature seagrass environment. Multivariate analysis further confirmed that the microbial community at the recipient site had not yet fully converged with that of the donor meadow, indicating that complete sediment maturation may require longer timescales. These findings demonstrate that microbial community composition and functional annotations serve as early indicators of seagrass restoration success. Long-term monitoring is essential to track ecosystem recovery and assess the stabilization of sediment conditions.},
}

@article {pmid40136166,
year = {2025},
author = {Ferrari, YAC and Jesus, CVF and Batista, JFC and Silva, BEBD and Cavalcante, AB and Lima, CA},
title = {Secular trend of cervical cancer mortality in Brazil and regions.},
journal = {Ciencia & saude coletiva},
volume = {30},
number = {3},
pages = {e09962023},
doi = {10.1590/1413-81232025303.09962023},
pmid = {40136166},
issn = {1678-4561},
mesh = {Brazil/epidemiology ; Humans ; Female ; *Uterine Cervical Neoplasms/mortality ; Adult ; Middle Aged ; Mortality/trends ; Young Adult ; Aged ; Adolescent ; National Health Programs/organization & administration/trends ; },
abstract = {The scope of this study was to describe the secular trend of cervical cancer mortality in Brazil and its various regions from 1980 to 2021. It involved a populational and ecological study, based on data available at the Department of Informatics of the Unified Health System, using codes 180 and C53. Crude rates, age-specific rates, and age-standardized rates were calculated for the Brazilian and world population. The Average Annual Percent Change (AAPC) was obtained by trend analysis using the Joinpoint Regression Program, with a significance level of 0.05 and 95% confidence intervals (95%CI). There were 171,793 deaths from cervical cancer. In Brazil (AAPC -0.3; CI95%-1.0; 0.4), North (AAPC 0.6; 95%CI -0.1; 1.3) and South (AAPC 0.0; 95%CI -0.5; 0.5) the trends were stationary, increasing in the Northeast (AAPC 0.6; 95%CI 0.3; 0.8) and in the Midwest (AAPC -1.3; 95%CI -1.5; -1.1), and decreasing in the Southeast (AAPC -0.9; 95%CI -1.4; -0.5). Regional differences indicate that public policies need to be improved regarding women's access to a health system that offers adequate prevention, screening and treatment through management strategies that include the most vulnerable population.},
}

Brazil/epidemiology
Humans
Female
*Uterine Cervical Neoplasms/mortality
Adult
Middle Aged
Mortality/trends
Young Adult
Aged
Adolescent
National Health Programs/organization & administration/trends

@article {pmid40133528,
year = {2025},
author = {Pekar, JE and Wang, Y and Wang, JC and Shao, Y and Taki, F and Forgione, LA and Amin, H and Clabby, T and Johnson, K and Torian, LV and Braunstein, SL and Pathela, P and Omoregie, E and Hughes, S and Suchard, MA and Vasylyeva, TI and Lemey, P and Wertheim, JO},
title = {Transmission dynamics of the 2022 mpox epidemic in New York City.},
journal = {Nature medicine},
volume = {},
number = {},
pages = {},
pmid = {40133528},
issn = {1546-170X},
support = {AI135992//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; AI153044//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; AI135995//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; AI153044//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; AI135995//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; AI153044//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; AI135995//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; AI135992//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; PS21-2102//U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC)/ ; },
abstract = {The 2022 global mpox epidemic was caused by transmission of MPXV clade IIb, lineage B.1 through sexual contact networks, with New York City (NYC) experiencing the first and largest outbreak in the United States. By performing phylogeographic analysis of MPXV genomes sampled from 757 individuals in NYC between April 2022 and April 2023, and 3,287 MPXV genomes sampled around the world, we identify over 200 introductions of MPXV into NYC with at least 84 leading to onward transmission. These infections primarily occurred among men who have sex with men, transgender women and nonbinary individuals. Through a comparative analysis with HIV in NYC, we find that both MPXV and HIV genomic cluster sizes are best fit by scale-free distributions, and that people in MPXV clusters are more likely to have previously received an HIV diagnosis and be a member of a recently growing HIV transmission cluster. We model MPXV transmission through sexual contact networks and show that highly connected individuals would be disproportionately infected at the start of an epidemic, which would likely result in the exhaustion of the most densely connected parts of the network, and, therefore, explain the rapid expansion and decline of the NYC outbreak. By coupling the genomic epidemiology of MPXV and HIV with epidemic modeling, we demonstrate that the transmission dynamics of MPXV in NYC can be understood by general principles of sexually transmitted pathogens.},
}

@article {pmid40132633,
year = {2025},
author = {Liu, X and Milesi, E and Fontsere, C and Owens, HL and Heinsohn, R and Gilbert, MTP and Crates, R and Nogués-Bravo, D and Morales, HE},
title = {Time-lagged genomic erosion and future environmental risks in a bird on the brink of extinction.},
journal = {Proceedings. Biological sciences},
volume = {292},
number = {2043},
pages = {20242480},
doi = {10.1098/rspb.2024.2480},
pmid = {40132633},
issn = {1471-2954},
support = {//The European Molecular Biology Organization/ ; //Mohamed bin Zayed Species Conservation Fund/ ; //Danish National Research Foundation/ ; /ERC_/European Research Council/International ; 25925//Villum Fonden/ ; },
mesh = {Animals ; *Endangered Species ; *Extinction, Biological ; Conservation of Natural Resources ; Ecosystem ; Genomics ; Biodiversity ; Genetic Variation ; Australia ; Birds/genetics ; Passeriformes/genetics/physiology ; },
abstract = {Global biodiversity is rapidly declining due to habitat degradation and genomic erosion, highlighting the urgent need to monitor endangered species and their genetic health. Temporal genomics and ecological modelling offer finer resolution than single-time-point measurements, providing a comprehensive view of species' recent and future trajectories. We investigated genomic erosion and environmental suitability in the critically endangered regent honeyeater (Anthochaera phrygia) by sequencing whole genomes of historical and modern specimens and building multi-temporal species distribution models (SDMs) across the last century. The species has declined from hundreds of thousands of individuals to fewer than 300 over the past 100 years. SDMs correctly predicted known patterns of local extinction in southeast Australia. Our demographic reconstructions revealed a gradual population decline from 2000 to 2500 years ago, sharply accelerating in the last 500 years due to climate variability and habitat loss. Despite this substantial demographic collapse, the regent honeyeater has lost only 9% of its genetic diversity, with no evidence of inbreeding or connectivity loss. Also, it exhibits higher diversity than many other threatened bird species. Forward-in-time genomic simulations indicate that this time lag between population decline and genetic diversity loss conceals the risk of ongoing genomic erosion into a future of rapidly degrading environmental suitability. Our work underscores the need for targeted conservation efforts and continuous genetic monitoring to prevent species extinction.},
}

Animals
*Endangered Species
*Extinction, Biological
Conservation of Natural Resources
Ecosystem
Genomics
Biodiversity
Genetic Variation
Australia
Birds/genetics
Passeriformes/genetics/physiology

@article {pmid40096239,
year = {2025},
author = {Dinnage, R and Kleineberg, M},
title = {Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills.},
journal = {PLoS computational biology},
volume = {21},
number = {3},
pages = {e1012887},
pmid = {40096239},
issn = {1553-7358},
mesh = {Animals ; *Birds/anatomy & histology ; *Imaging, Three-Dimensional/methods ; *Artificial Intelligence ; Beak/anatomy & histology ; Computational Biology ; Deep Learning ; },
abstract = {Data on the three dimensional shape of organismal morphology is becoming increasingly available, and forms part of a new revolution in high-throughput phenomics that promises to help understand ecological and evolutionary processes that influence phenotypes at unprecedented scales. However, in order to meet the potential of this revolution we need new data analysis tools to deal with the complexity and heterogeneity of large-scale phenotypic data such as 3D shapes. In this study we explore the potential of generative Artificial Intelligence to help organize and extract meaning from complex 3D data. Specifically, we train a deep representational learning method known as DeepSDF on a dataset of 3D scans of the bills of 2,020 bird species. The model is designed to learn a continuous vector representation of 3D shapes, along with a 'decoder' function, that allows the transformation from this vector space to the original 3D morphological space. We find that approach successfully learns coherent representations: particular directions in latent space are associated with discernible morphological meaning (such as elongation, flattening, etc.). More importantly, learned latent vectors have ecological meaning as shown by their ability to predict the trophic niche of the bird each bill belongs to with a high degree of accuracy. Unlike existing 3D morphometric techniques, this method has very little requirements for human supervised tasks such as landmark placement, increasing it accessibility to labs with fewer labour resources. It has fewer strong assumptions than alternative dimension reduction techniques such as PCA. Once trained, 3D morphology predictions can be made from latent vectors very computationally cheaply. The trained model has been made publicly available and can be used by the community, including for finetuning on new data, representing an early step toward developing shared, reusable AI models for analyzing organismal morphology.},
}

Animals
*Birds/anatomy & histology
*Imaging, Three-Dimensional/methods
*Artificial Intelligence
Beak/anatomy & histology
Computational Biology
Deep Learning

@article {pmid40136165,
year = {2025},
author = {Aquino, ÉC and Borowicc, SL and Alves-Souza, SN and Teixeira, RA and Ishitani, LH and Malta, DC and Morais Neto, OL},
title = {Distribution of garbage codes in the Mortality Information System, Brazil, 2000 to 2020.},
journal = {Ciencia & saude coletiva},
volume = {30},
number = {3},
pages = {e09442023},
doi = {10.1590/1413-81232025303.09442023},
pmid = {40136165},
issn = {1678-4561},
mesh = {Brazil/epidemiology ; Humans ; *Information Systems/statistics & numerical data/standards ; *Cause of Death/trends ; Linear Models ; Mortality/trends ; Time Factors ; },
abstract = {The analysis of the causes of death is essential to understand the main problems that affect the health level of the population of a region or country. The garbage codes (GC) provide little useful information about causes of death. This study aims to identify the proportion of GC among the deaths registered and to analyze their temporal distribution in Brazil from 2000 to 2020. It's an ecological time-series study of the evolution of the proportion of GC in Brazil. Time series analysis was performed using segmented linear regression models (joinpoint). Between 2000 and 2020, 39.9% of deaths that occurred in Brazil were coded with GC. Between 2000 and 2007, there was a continuous and persistent reduction in the proportion of GC (APC -2.1; P < 0.001). Between 2007 and 2015, there continued to be a reduction, albeit to a lesser extent (APC = -0.7; P = 0.013). Between 2015 and 2018, there was no significant trend of the proportion of GC (APC = -2.3; P = 0.172), which persisted from 2018 (APC 3.2; P < 0.079). Although a reduction in the proportion of GC in Brazil was observed until 2018, this trend did not persist after that year. Reducing the proportion of GC allows managers to plan health policies more adequately for the population.},
}

Brazil/epidemiology
Humans
*Information Systems/statistics & numerical data/standards
*Cause of Death/trends
Linear Models
Mortality/trends
Time Factors

@article {pmid40073274,
year = {2025},
author = {Aucello, R and Pernice, S and Tortarolo, D and Calogero, RA and Herrera-Rincon, C and Ronchi, G and Geuna, S and Cordero, F and Lió, P and Beccuti, M},
title = {UnifiedGreatMod: a new holistic modelling paradigm for studying biological systems on a complete and harmonious scale.},
journal = {Bioinformatics (Oxford, England)},
volume = {41},
number = {3},
pages = {},
pmid = {40073274},
issn = {1367-4811},
support = {//Ministero dell'Univerisita' e della Ricerca/ ; },
mesh = {*Models, Biological ; Humans ; Software ; Escherichia coli/metabolism ; Systems Biology/methods ; Computational Biology/methods ; Computer Simulation ; },
abstract = {MOTIVATION: Computational models are crucial for addressing critical questions about systems evolution and deciphering system connections. The pivotal feature of making this concept recognizable from the biological and clinical community is the possibility of quickly inspecting the whole system, bearing in mind the different granularity levels of its components. This holistic view of system behaviour expands the evolution study by identifying the heterogeneous behaviours applicable, e.g. to the cancer evolution study.

RESULTS: To address this aspect, we propose a new modelling paradigm, UnifiedGreatMod, which allows modellers to integrate fine-grained and coarse-grained biological information into a unique model. It enables functional studies by combining the analysis of the system's multi-level stable states with its fluctuating conditions. This approach helps to investigate the functional relationships and dependencies among biological entities. This is achieved, thanks to the hybridization of two analysis approaches that capture a system's different granularity levels. The proposed paradigm was then implemented into the open-source, general modelling framework GreatMod, in which a graphical meta-formalism is exploited to simplify the model creation phase and R languages to define user-defined analysis workflows. The proposal's effectiveness was demonstrated by mechanistically simulating the metabolic output of Escherichia coli under environmental nutrient perturbations and integrating a gene expression dataset. Additionally, the UnifiedGreatMod was used to examine the responses of luminal epithelial cells to Clostridium difficile infection.

GreatMod https://qbioturin.github.io/epimod/, epimod_FBAfunctions https://github.com/qBioTurin/epimod_FBAfunctions, first case study E. coli  https://github.com/qBioTurin/Ec_coli_modelling, second case study C. difficile  https://github.com/qBioTurin/EpiCell_CDifficile.},
}

*Models, Biological
Humans
Software
Escherichia coli/metabolism
Systems Biology/methods
Computational Biology/methods
Computer Simulation

@article {pmid40125538,
year = {2025},
author = {Broad, GR and Holt, S and Sivess, L and Boyes, D and , and , and , and , and , and , and , and , },
title = {The genome sequence of the Scorched Wing moth, Plagodis dolabraria (Linnaeus, 1767).},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {111},
doi = {10.12688/wellcomeopenres.23761.1},
pmid = {40125538},
issn = {2398-502X},
abstract = {We present a genome assembly from a male specimen of Plagodis dolabraria (Scorched Wing; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence has a total length of 939.07 megabases. Most of the assembly (99.59%) is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.97 kilobases in length.},
}

@article {pmid40121238,
year = {2025},
author = {Kelliher, JM and Rodriguez, FE and Johnson, LYD and Roux, S and Smith, M and Clum, A and Lynch, W and Bias, CH and Finks, SS and Keenum, I and Kiledal, EA and Lin, HA and Longley, R and McDonald, R and Pitot, TM and Rodríguez-Ramos, J and Shen, J and Sprockett, DD and Swift, J and Yadav, A and Eloe-Fadrosh, EA},
title = {Quantifying the impact of workshops promoting microbiome data standards and data stewardship.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9887},
pmid = {40121238},
issn = {2045-2322},
support = {The work conducted by the National Microbiome Data Collaborative (https://ror.org/05cwx3318) is supported by the Genomic Science Program in the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research (BER) under contract numbers DE-AC02-05CH11231 (LBNL), 89233218CNA000001 (LANL), and DE-AC05-76RL01830 (PNNL).//U.S. Department of Energy/ ; },
mesh = {*Microbiota ; Humans ; Surveys and Questionnaires ; Research Personnel ; },
abstract = {The field of microbiome research continues to grow at a rapid pace, with multi-omics approaches becoming widely used to interrogate diverse microbiome samples. However, due to lagging awareness and implementation of standards and data stewardship, many datasets are produced that are not comparable, reproducible, or reusable. In 2021, the National Microbiome Data Collaborative launched its Ambassador Program, which utilizes a community-learning model to annually train a cohort of early-career researchers in microbiome data stewardship best practices. These Ambassadors then host workshops and other events to communicate these themes to their respective microbiome research communities. To quantify the impact of this learning model for promoting awareness of and experience with microbiome data, we conducted a survey of workshop participants from events hosted by the 2023 Ambassador cohort. The 2023 cohort of 13 National Microbiome Data Collaborative Ambassadors collectively hosted 21 events, reaching over 550 researchers. The Ambassadors distributed an anonymous post-workshop survey to their event participants to quantify the effectiveness of the training materials, the workshop format, and the thematic content. From the 21 events, survey results were successfully collected for 15 of those events from a total of 122 researchers. Overall, 122 participants working with a range of microbiome types and from a variety of institutions responded to the survey and reported overwhelmingly positive experiences with the workshop content and materials, with 98% of respondents reporting that they gained knowledge from the event. Participants across the events also reported an increase in their post-workshop understanding of metadata standards, principles for microbiome data management and reporting, and the importance of standardization in microbiome data processing. Participants also expressed a willingness to apply what they learned about microbiome data stewardship to their own research. The results of this study demonstrate the effectiveness of hands-on workshops and community-learning for communicating data stewardship best practices to microbiome researchers. The lessons learned and details about the implementation of this cohort-based learning model contained herein are intended to assist other groups in their efforts to create or improve similar learning strategies.},
}

*Microbiota
Humans
Surveys and Questionnaires
Research Personnel

@article {pmid40121181,
year = {2025},
author = {Eaton, WD and McGee, KM and Glahn, A and Lemenze, A and Soteropoulos, P},
title = {Use of a logging road in a Costa Rican forest changes the composition and stability of soil microbial decomposer communities, and the conversion of organic carbon into biomass.},
journal = {Journal of applied microbiology},
volume = {},
number = {},
pages = {},
doi = {10.1093/jambio/lxaf075},
pmid = {40121181},
issn = {1365-2672},
abstract = {AIMS: The effects of a tropical forest logging road on soil C and N, and the compositions of Actinobacteria, Acidobacteria, and wood rot/lignin-degrading fungal (WRT/LD) decomposer communities were evaluated.

METHODS AND RESULTS: Soils from a healthy Costa Rican old growth forest before Hurricane Otto and from an adjacent, recently formed logging road built after Hurricane Otto were collected over 4 years and assessed for C and N metrics, and characteristics of the 3 decomposer communities determined by Illumina amplicon sequencing methods. The Logging Road negatively impacted the soil total organic C, respiration, biomass C, qCO2, and total N, while the Actinobacterial and Acidobacterial communities changed from stable compositions of copiotrophic taxa in the rich forest soil to stable compositions of oligotrophic taxa in the poor logging road soil, and the wood rot/lignin degrading (WRT/LD) community changed from stable compositions of copiotrophic taxa in the forest soils to an unstable community of oligotrophic taxa with almost no overlap in genera between Logging Road soils.

CONCLUSIONS: The logging road negatively influenced 3 decomposer communities and associated C and N metrics, with the two bacterial communities taxonomically stabilizing, but the fungal community taxonomically diverging into an unstable composition over time. Monitoring efforts are on-going to provide local forest land managers with potential indicators of soil ecosystem damage and recovery.},
}

@article {pmid40121109,
year = {2025},
author = {Hanly, J and Anon, and Perret, J and Khan, A},
title = {Disability in ecology and evolution.},
journal = {Trends in ecology & evolution},
volume = {},
number = {},
pages = {},
doi = {10.1016/j.tree.2025.02.005},
pmid = {40121109},
issn = {1872-8383},
}

@article {pmid40120582,
year = {2025},
author = {Pinkert, S and Reuber, V and Krug, LM and Heidrich, L and Rehling, F and Brandl, R and Farwig, N},
title = {Burrowing facilitated the survival of mammals in harsh and fluctuating climates.},
journal = {Current biology : CB},
volume = {},
number = {},
pages = {},
doi = {10.1016/j.cub.2025.02.064},
pmid = {40120582},
issn = {1879-0445},
abstract = {Species' ability to cope with climatic instability varies greatly, influenced by factors such as dispersal, physiological adaptations, and phylogenetic conservatism. Here, we investigate how burrowing behavior, a key component of species' endurance strategies and ecosystem functioning, shaped the contemporary patterns of species richness and range size as well as the diversification of mammalian lineages. Analyzing 4,407 terrestrial mammal species, excluding bats, combined with novel trait data on 3,096 species, we reveal contrasting responses to climatic factors between burrowing and non-burrowing species. Burrowing lineages are disproportionately species-rich at lower temperatures and productivity. Both range size and species richness steeply increase with climate seasonality in burrowing species as opposed to non-burrowing species. The proportion of burrowing species increases with latitude, with regions above 20°, especially those exhibiting greater Pleistocene temperature changes, being almost exclusively composed of burrowing species. Trait conservatism, higher net diversification rates, and Eocene peak diversification provide the evolutionary context for these contemporary patterns, underscoring the role of burrowing for mammalian radiations into temperate climates. Moreover, the lower extinction rate of burrowing species and peak diversification at the Cretaceous-Paleogene (K-Pg) boundary support the longstanding hypothesis that burrowing behavior promoted survival during the "impact winter" that marks the replacement of non-avian dinosaurs by mammals. Our study highlights the potential of readily available trait information for understanding the ecological and evolutionary processes that shape species distributions through space and time. The careful integration of divergent environmental constraints bears vast improvements for forecasts of species' responses to climatic changes and global models of biodiversity patterns.},
}

@article {pmid40049043,
year = {2025},
author = {Huang, JN and Gao, CC and Ren, HY and Wen, B and Wang, ZN and Gao, JZ and Chen, ZZ},
title = {Multi-omics association pattern between gut microbiota and host metabolism of a filter-feeding fish in situ exposed to microplastics.},
journal = {Environment international},
volume = {197},
number = {},
pages = {109360},
doi = {10.1016/j.envint.2025.109360},
pmid = {40049043},
issn = {1873-6750},
mesh = {Animals ; *Gastrointestinal Microbiome/drug effects ; *Microplastics ; *Water Pollutants, Chemical/metabolism/toxicity ; *Carps/microbiology ; Liver/metabolism ; Zebrafish ; Multiomics ; },
abstract = {Microplastics (MPs) are widespread in water environments and can affect gut microbiota and host metabolism of fish, but whether changes in host metabolism under MPs are mediated by gut microbiota remains unclear. Here, silver carp, a filter-feeding fish with important ecological functions, was in-situ exposure to environmentally relevant MPs. Multi-omics analysis and fecal microbiota transplantation were used to reveal the metabolic responses of carp along gut-liver-muscle axis. After three months of in situ exposure to MPs, community structure of gut microbiota of carp was reshaped, and five dominate phyla were significantly changed, including increased Cyanobacteria, Chloroflexi and Planctomycetota but decreased Firmicutes and Fusobacteriota. Weighted gene co-expression network analysis was further performed between these phyla and liver transcription spectrum, showing that the hub gene module contained up-regulated hppD, maiA and plg and activated ubiquinone and other terpenoid-quinone biosynthesis and phenylalanine metabolism. By fecal microbiota transplantation, the key gene module associated with core microbiota phyla of carp was verified in germ-free zebrafish. Interestingly, up-regulated hppD, maiA and plg and enriched phenylalanine metabolism were also observed in this module. Subsequently, metabolome performed in carp liver also shared activated phenylalanine metabolism, including increased trans-cinnamic acid and L-tyrosine. Furthermore, high-associated mapping showed that the differentially expressed metabolites (gamma-aminobutyric acid, ornithine and L-serine) related to amino acid metabolism in carp muscle were significantly accompanied with increased L-tyrosine in its liver. Overall, MPs exposure could change gut microbiome of silver carp and alter host metabolism especially amino acid metabolism along the gut-liver-muscle axis.},
}

Animals
*Gastrointestinal Microbiome/drug effects
*Microplastics
*Water Pollutants, Chemical/metabolism/toxicity
*Carps/microbiology
Liver/metabolism
Zebrafish
Multiomics

@article {pmid39833389,
year = {2025},
author = {Schroeder, MW and Frumkin, MR and Mace, RA},
title = {Proof-of-concept for integrating multimodal digital health assessments into lifestyle interventions for older adults with dementia risk factors.},
journal = {Journal of behavioral medicine},
volume = {48},
number = {2},
pages = {373-384},
pmid = {39833389},
issn = {1573-3521},
support = {1 K23 AG075257-01/AG/NIA NIH HHS/United States ; 1 K23 AG075257-01/AG/NIA NIH HHS/United States ; },
mesh = {Humans ; Aged ; Female ; Male ; *Actigraphy/instrumentation ; *Dementia/psychology/therapy ; *Ecological Momentary Assessment ; *Mindfulness ; Pilot Projects ; Life Style ; Middle Aged ; Risk Factors ; Proof of Concept Study ; Aged, 80 and over ; Sleep ; Digital Health ; },
abstract = {Multimodal digital health assessments overcome the limitations of patient-reported outcomes by allowing for continuous and passive monitoring but remain underutilized in older adult lifestyle interventions for brain health. Therefore, we aim to (1) report ecological momentary assessment (EMA) and ActiGraph adherence among older adults during a lifestyle intervention; and (2) use dynamic data collected via EMA and ActiGraph to examine person-specific patterns of mindfulness, steps, and sleep throughout the intervention. We analyzed EMA and ActiGraph data from a pilot study of the 8-week My Healthy Brain program (N = 10) lifestyle group for older adults (60+) with subjective cognitive decline. EMA adherence metrics included proportion of EMA completed and the proportion of days with at least 10 mindfulness minutes. ActiGraph GT9X adherence metrics included the number of valid wear days (≥ 7 h) and the number of days participants achieved their step goal. We used linear mixed-effects models to examine person-specific patterns of step count, sleep efficiency, and mindfulness practice. On average, participants completed 39 of the 49 possible EMAs (80%) during the program. ActiGraph adherence was slightly higher than EMA (M = 61.40 days, 87.71%). Participants achieved the daily mindfulness goal (10 min/day) and step goal on 46.32% and 55.10% of days, respectively. Dynamic data revealed that on average, participant step counts increased by approximately 16.5 steps per day (b = 16.495, p = 0.002). However, some participants exhibited no changes while improvements made by other participants returned to baseline levels of activity. There was substantial heterogeneity in trajectories of mindfulness practice and sleep efficiency. EMA and ActiGraph are feasible for older adults enrolled in dementia risk reduction lifestyle interventions. Future studies are needed to better understand how mechanisms of lifestyle behaviors captured by EMA and ActiGraph are related to cognitive outcomes in older adults.},
}

Humans
Aged
Female
Male
*Actigraphy/instrumentation
*Dementia/psychology/therapy
*Ecological Momentary Assessment
*Mindfulness
Pilot Projects
Life Style
Middle Aged
Risk Factors
Proof of Concept Study
Aged, 80 and over
Sleep
Digital Health

@article {pmid38582819,
year = {2025},
author = {Li, M and Wu, L and Shi, Y and Wu, L and Afzal, F and Jia, Y and Huang, Y and Hu, B and Chen, J and Huang, J},
title = {Bioinformatics and Functional Analysis of OsASMT1 Gene in Response to Abiotic Stress.},
journal = {Biochemical genetics},
volume = {63},
number = {2},
pages = {1527-1540},
pmid = {38582819},
issn = {1573-4927},
support = {2023NSFSC1270//The Sichuan Natural Science Foundation Project/ ; SKL-KF202316//The Open Project Program of State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/ ; },
mesh = {*Stress, Physiological ; *Computational Biology/methods ; *Oryza/genetics/metabolism ; *Plant Proteins/genetics/metabolism ; *Gene Expression Regulation, Plant ; Sodium Chloride/pharmacology ; Salt Stress ; },
abstract = {The study aimed to elucidate the functional characteristics of OsASMT1 gene under copper (Cu) or sodium chloride (NaCl) stress. Bioinformatics scrutiny unveiled that OsASMT1 is situated on chromosome 9. Its protein architecture, comprising dimerization and methyltransferase domains, showed significant similarities to OsASMT2 and OsASMT3. High expression in roots and panicles, along with abiotic stress putative cis-regulatory elements in the promoter, indicated potential stress responsiveness. Real-time quantitative PCR confirmed OsASMT1 induction under Cu and NaCl stress in rice. Surprisingly, yeast expressing OsASMT1 did not exhibit enhanced resistance to abiotic stresses. The results of subcellular localization analysis indicated that OsASMT1 plays a role in the cytoplasm. While OsASMT1 responded to Cu and NaCl stress in rice, its heterologous expression in yeast failed to confer abiotic stress resistance, highlighting the need for further investigation of its functional implications.},
}

*Stress, Physiological
*Computational Biology/methods
*Oryza/genetics/metabolism
*Plant Proteins/genetics/metabolism
*Gene Expression Regulation, Plant
Sodium Chloride/pharmacology
Salt Stress

@article {pmid40115327,
year = {2025},
author = {Hesson, JC and Haba, Y and McBride, CS and Sheerin, E and Mathers, TC and Paulini, M and Pointon, DB and Torrance, JW and Sadasivan Baby, C and Wood, JMD and , and , and McCarthy, SA and Lawniczak, MKN and Makunin, A},
title = {A chromosomal reference genome sequence for the northern house mosquito, Culex pipiens form pipiens, Linnaeus, 1758.},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {107},
pmid = {40115327},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female Culex pipiens sensu stricto (the northern house mosquito; Arthropoda; Insecta; Diptera; Culicidae), from a wild population in Sweden. The genome sequence is 533 megabases in span. Most of the assembly is scaffolded into three chromosomal pseudomolecules. The complete mitochondrial genome was also assembled and is 15.6 kilobases in length.},
}

@article {pmid40108281,
year = {2025},
author = {Dong, J and Dai, W and Xu, J and Zhang, H and Li, Y and Xie, F},
title = {Impact and elastic modulus of coal mining on terrestrial ecosystems.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9454},
pmid = {40108281},
issn = {2045-2322},
support = {CSC202306420029//China Scholarship Council/ ; Lumeidike (2022) No.14//Key Research Projects of Shandong Bureau of Coal Geology/ ; },
abstract = {The energy consumption structure is gradually evolving into a "diversified energy structure" against the backdrop of the global implementation of energy-saving and low-carbon policies. Coal, as the main energy source in China, is difficult to change in the short term, given the characteristics of China's energy and resource endowments, as well as the actual social and economic development at the present stage. Nevertheless, coal mining inevitably leads to a range of ecological issues. Identifying the impact of coal mining on terrestrial ecosystems and adopting resilient recovery measures are crucial prerequisites for advancing green coal mining efforts and attaining carbon peaking and carbon neutrality goals. Using China's open-pit coal mining as a case study: (1) the research examines the fundamental attributes and evolving patterns of spatial distribution among these mines within the country. Furthermore, it delineates the life cycle stages and distinctive features of the five principal open-pit coal mines. The life cycle of a coal mining area is divided into four distinct development phases: the initial phase, the accelerated phase, the stable phase, and the declining phase. The spatial relationship between the life cycle stages of coal mining and ecosystem succession is elucidated by examining the evolutionary types of ecosystems within coal mine area. In the accelerated and stable development phase, the adverse effects of coal mining on the ecosystem are in a long-term increasing trend, causing the key elements of the ecosystem to gradually surpass their threshold values. The ecosystem is out of balance, severely damaged, and gradually undergoing degradation or extreme degradation. The types of ecological succession in coal mining areas can be categorized as follows: terrestrial succession leading to a new terrestrial ecosystem, terrestrial to aquatic ecosystem transitions, or the development of an amphibious symbiotic ecosystem. (2) The research quantitatively assessed the impact of surface coal mining on terrestrial ecosystems by utilizing remote sensing data in conjunction with coal production information. In 2022, the affected areas of the five major open-pit coal mines due to coal mining activities amounted to approximately 0.02% of China's total land area. Meanwhile, the nationwide affected areas of all open-pit coal mines combined reached to approximately 0.13% of China's land area. Open-pit coal mining activities have a significant impact on the surface. (3) By incorporating the ecological resilience theory, we establish a model for the ecosystem's elastic modulus in coal mining areas, taking into account landscape diversity, vegetation coverage, land type, and climate factors, which are based on the concepts of elastic strength and elastic limit. A conceptual model for recognizing ecological thresholds in coal mining areas is developed by incorporating the comprehensive integrity index of the ecosystem. The comprehensive integrity of the ecosystem within a coal mining area undergoes significant alterations as it crosses three distinct ecological thresholds: the elastic point, the yield point, and the mutational point. There should be a corresponding constant (or constant interval) at the three ecological thresholds of ecosystem resilience, the elastic point, the yield point, and the mutational point, which is closely related to the scale of mining operations, mining technology, and the service life in coal mining areas. The established models for identifying ecological thresholds and the resilience modulus degree serve as both theoretical references and practical bases for managing the progress and trends of ecosystem changes during coal resource extraction, making ecological restoration in coal mine areas more target-oriented and specific.},
}

@article {pmid40108248,
year = {2025},
author = {Mammides, C and Ieronymidou, C and Papadopoulos, H},
title = {An ecoacoustic dataset collected on the island of Cyprus in the Mediterranean Basin biodiversity hotspot.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {461},
pmid = {40108248},
issn = {2052-4463},
support = {101090273//European Commission (EC)/ ; },
mesh = {Cyprus ; *Biodiversity ; Animals ; *Acoustics ; Vocalization, Animal ; Mediterranean Region ; Islands ; },
abstract = {There is growing interest in using novel technologies for large-scale biodiversity monitoring. Passive acoustic monitoring (PAM) represents a promising approach for surveying vocalizing animals. However, further development of PAM methods is needed to improve their accuracy. The availability of extensive ecoacoustic datasets from biodiverse areas can facilitate this development. In this study, we present a large ecoacoustic dataset (1.58 TB) collected at sixty-one study sites on the island of Cyprus between March and May 2023. The dataset comprises >313,000 audio files, representing over 5,200 hours of recordings. It can be used for a range of applications, such as developing and refining species identification algorithms, acoustic indices, and protocols for processing acoustic data to exclude non-focal sounds, e.g., those produced by human activities. It can also be used to explore fundamental ecological questions. To facilitate its use, the complete dataset has been made available on the Hugging Face repository and the ARBIMON platform, operated by Rainforest Connection[TM], which offers a range of free tools for ecoacoustic analyses.},
}

Cyprus
*Biodiversity
Animals
*Acoustics
Vocalization, Animal
Mediterranean Region
Islands

@article {pmid40067093,
year = {2025},
author = {Zhang, G and Ristola, P and Su, H and Kumar, B and Zhang, B and Hu, Y and Elliot, MG and Drobot, V and Zhu, J and Staal, J and Larralde, M and Wang, S and Yi, Y and Yu, H},
title = {BioArchLinux: community-driven fresh reproducible software repository for life sciences.},
journal = {Bioinformatics (Oxford, England)},
volume = {41},
number = {3},
pages = {},
doi = {10.1093/bioinformatics/btaf106},
pmid = {40067093},
issn = {1367-4811},
mesh = {*Software ; *Computational Biology/methods ; *Biological Science Disciplines/methods ; Programming Languages ; Reproducibility of Results ; },
abstract = {MOTIVATION: The BioArchLinux project was initiated to address challenges in bioinformatics software reproducibility and freshness. Relying on Arch Linux's user-driven ecosystem, we aim to create a comprehensive and continuously updated repository for life sciences research.

RESULTS: BioArchLinux provides a PKGBUILD-based system for seamless software packaging and maintenance, enabling users to access the latest bioinformatics tools across multiple programming languages. The repository includes Docker images, Windows Subsystem for Linux (WSL) support, and Junest for nonroot environments, enhancing accessibility across platforms. Although being developed and maintained by a small core team, BioArchLinux is a fast-growing bioinformatics repository that offers a participatory and community-driven environment.

The repository, documentation, and tools are freely available at https://bioarchlinux.org and https://github.com/BioArchLinux. Users and developers are encouraged to contribute and expand this open-source initiative.},
}

*Software
*Computational Biology/methods
*Biological Science Disciplines/methods
Programming Languages
Reproducibility of Results

@article {pmid40102624,
year = {2025},
author = {Rank, M and Kather, A and Wilke, D and Steib-Bauert, M and Kern, WV and Röder, I and de With, K},
title = {Limitations of estimating antibiotic resistance using German hospital consumption data - a comprehensive computational analysis.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9244},
pmid = {40102624},
issn = {2045-2322},
mesh = {Germany/epidemiology ; Humans ; *Anti-Bacterial Agents/therapeutic use/pharmacology ; *Hospitals ; Drug Resistance, Microbial ; Drug Resistance, Bacterial ; Neural Networks, Computer ; },
abstract = {For almost a century, antibiotics have played an important role in the treatment of infectious diseases. However, the efficacy of these very drugs is now threatened by the development of resistances, which pose major challenges to medical professionals and decision-makers. Thereby, the consumption of antibiotics in hospitals is an important driver that can be targeted directly. To illuminate the relation between consumption and resistance depicts a very important step in this procedure. With the help of comprehensive ecological and clinical data, we applied a variety of different computational approaches ranging from classical linear regression to artificial neural networks to analyze antibiotic resistance in Germany. These mathematical and statistical models demonstrate that the amount and particularly the structure of currently available data sets lead to contradictory results and do, therefore, not allow for profound conclusions. More effort and attention on both data collection and distribution is necessary to overcome this problem. In particular, our results suggest that at least monthly or quarterly antibiotic use and resistance data at the department and ward level for each hospital (including application route and type of specimen) are needed to reliably determine the extent to which antibiotic consumption influences resistance development.},
}

Germany/epidemiology
Humans
*Anti-Bacterial Agents/therapeutic use/pharmacology
*Hospitals
Drug Resistance, Microbial
Drug Resistance, Bacterial
Neural Networks, Computer

@article {pmid39066964,
year = {2025},
author = {Árvay, J and Hauptvogl, M and Demková, L and Jančo, I and Jakabová, S and Mleczek, M},
title = {GIS-based Visualization of Elemental Distribution in Neoboletus Luridiformis Fruiting Body.},
journal = {Biological trace element research},
volume = {203},
number = {4},
pages = {2271-2283},
pmid = {39066964},
issn = {1559-0720},
support = {1/0602/22//Vedecká Grantová Agentúra MŠVVaŠ SR a SAV/ ; },
mesh = {*Fruiting Bodies, Fungal/chemistry/metabolism ; Trace Elements/analysis ; Geographic Information Systems ; Agaricales/chemistry/metabolism ; },
abstract = {The fruiting body of Neoboletus luridiformis (Scarletina bolete) mushroom was used to determine the level of bioconcentration and subsequent distribution of seventeen elements (Ag, Al, Ba, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Se, Sr, and Zn). A two-centimeter-thick vertical section of the entire fruit body was divided into 101 partial sub-samples where the contents of the studied elements were determined using ICP OES. The actual distribution of the elements in the fruiting body profile was visualized using a GIS interpolation method resulting in distribution maps. The study provides valuable insights into the distribution patterns of 17 elements within the fruiting body of N. luridiformis. Based on the visualization of the elemental content, the determined elements can be divided into three categories. Elements accumulated primarily (i) in the cap (Al, Ag, Ca, Cd, Cu, Fe, K, Mg, Ni, and Zn), (ii) in the stipe (Ba, Mn, Na, Pb, and Se), and (iii) elements with non-specific distribution (Cr and Sr). Since such detailed information supported by graphical visualization has not been published to date, the information in this study will help to better understand the accumulation and distribution of elements within the fruiting bodies of wild as well as cultivated mushroom species.},
}

*Fruiting Bodies, Fungal/chemistry/metabolism
Trace Elements/analysis
Geographic Information Systems
Agaricales/chemistry/metabolism

@article {pmid40099017,
year = {2025},
author = {Sivell, O and Sivell, D and Mitchell, R and Webb, J and , and , and , and , and , and , and , },
title = {The genome sequence of the Small Red Damselfly, Ceriagrion tenellum (de Villers, 1789).},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {79},
pmid = {40099017},
issn = {2398-502X},
abstract = {We present a genome assembly from a male specimen of Ceriagrion tenellum (Small Red Damselfly; Arthropoda; Insecta; Odonata; Coenagrionidae). The genome sequence has a total length of 2,077.00 megabases. Most of the assembly (99.28%) is scaffolded into 14 chromosomal pseudomolecules, including the X sex chromosome. The mitochondrial genome has also been assembled and is 17.21 kilobases in length.},
}

@article {pmid39938845,
year = {2025},
author = {Rakkannan, G and Mohanty, AK and Das, II and Nayak, S and Sahoo, L and Kumar, R and Rasal, A and Rather, MA and Ahmad, I and Sundaray, JK},
title = {Triflumezopyrim induced oxidative stress, DNA damage and apoptosis on Labeo rohita: Insights from Bioinformatics, Histopathological and Molecular approaches.},
journal = {International journal of biological macromolecules},
volume = {304},
number = {Pt 2},
pages = {140911},
doi = {10.1016/j.ijbiomac.2025.140911},
pmid = {39938845},
issn = {1879-0003},
mesh = {Animals ; *Oxidative Stress/drug effects ; *DNA Damage/drug effects ; *Apoptosis/drug effects ; Computational Biology/methods ; Carps/metabolism/genetics ; Water Pollutants, Chemical/toxicity ; Molecular Docking Simulation ; Cyprinidae ; 8-Hydroxy-2'-Deoxyguanosine/metabolism ; Liver/drug effects/pathology/metabolism ; },
abstract = {Triflumezopyrim is a novel mesoionic pesticide used in Asian rice fields to control brown plant hopper, which can reach aquatic environments through drift during application or surface runoff. Thus, this study aimed to investigate the effect of chronic exposure of sub-lethal concentrations of triflumezopyrim (2.468 ppm, 1.480 ppm, and 0.740 ppm) on freshwater carp, Labeo rohita.This study encompassed a multi-pronged approach, including molecular docking studies to elucidate the interactions between triflumezopyrim and selected proteins, an assessment of 8-OHdG (8-hydroxy-2-deoxyguanosine) activity to gauge DNA damage, histopathological examinations to identify cellular alterations, and expression of genes involved in oxidative stress, DNA repair, and apoptosis in L. rohita. We observed dose-dependent responses in 8-OHdG activity and the expression of select genes, with higher concentrations of triflumezopyrim yielding more pronounced transcriptional alterations. Notably, histopathological examinations of liver and brain tissues vividly portrayed the impact of triflumezopyrim on L. rohita. These findings contribute to the assessment of biological toxicity and the environmental footprint left by chemical pollutants such as triflumezopyrim. The study emphasizes the crucial role of monitoring histopathological alterations, 8-OHdG activity and gene expression changes as potential biomarkers for assessing exposures to triflumezopyrim. This research provides valuable insights into the ecological implications of triflumezopyrim in aquatic ecosystems.},
}

Animals
*Oxidative Stress/drug effects
*DNA Damage/drug effects
*Apoptosis/drug effects
Computational Biology/methods
Carps/metabolism/genetics
Water Pollutants, Chemical/toxicity
Molecular Docking Simulation
Cyprinidae
8-Hydroxy-2'-Deoxyguanosine/metabolism
Liver/drug effects/pathology/metabolism

@article {pmid24192328,
year = {2013},
author = {Weston, ED and Whitfield, DP and Travis, JM and Lambin, X},
title = {When do young birds disperse? Tests from studies of golden eagles in Scotland.},
journal = {BMC ecology},
volume = {13},
number = {},
pages = {42},
pmid = {24192328},
issn = {1472-6785},
mesh = {*Animal Distribution ; Animals ; Geographic Information Systems ; Raptors/*physiology ; Scotland ; },
abstract = {BACKGROUND: Dispersal comprises three broad stages - departure from the natal or breeding locations, subsequent travel, and settlement. These stages are difficult to measure, and vary considerably between sexes, age classes, individuals and geographically. We used tracking data from 24 golden eagles, fitted with long-lived GPS satellite transmitters as nestlings, which we followed during their first year. We estimated the timing of emigration from natal sites using ten previously published methods. We propose and evaluate two new methods. The first of these uses published ranging distances of parents as a measure of the natal home range, with the requirement that juveniles must exceed it for a minimum of 10 days (a literature-based measure of the maximum time that a juvenile can survive without food from its parents). The second method uses the biggest difference in the proportion of locations inside and outside of the natal home range smoothed over a 30 day period to assign the point of emigration. We used the latter as the standard against which we compared the ten published methods.

RESULTS: The start of golden eagle dispersal occurred from 39 until 250 days after fledging (based on method 12). Previously published methods provided very different estimates of the point of emigration with a general tendency for most to apparently assign it prematurely. By contrast the two methods we proposed provided very similar estimates for the point of emigration that under visual examination appeared to fit the definition of emigration much better.

CONCLUSIONS: We have used simple methods to decide when an individual has dispersed - they are rigorous and repeatable. Despite one method requiring much more information, both methods provided robust estimates for when individuals emigrated at the start of natal dispersal. Considerable individual variation in recorded behaviour appears to account for the difficulty capturing the point of emigration and these results demonstrate the potential pitfalls associated with species exhibiting complex dispersal behaviour. We anticipate that coupled with the rapidly increasing availability of tracking data, our new methods will, for at least some species, provide a far simpler and more biologically representative approach to determine the timing of emigration.},
}

*Animal Distribution
Animals
Geographic Information Systems
Raptors/*physiology
Scotland

@article {pmid23587026,
year = {2013},
author = {Hardisty, A and Roberts, D and , and Addink, W and Aelterman, B and Agosti, D and Amaral-Zettler, L and Ariño, AH and Arvanitidis, C and Backeljau, T and Bailly, N and Belbin, L and Berendsohn, W and Bertrand, N and Caithness, N and Campbell, D and Cochrane, G and Conruyt, N and Culham, A and Damgaard, C and Davies, N and Fady, B and Faulwetter, S and Feest, A and Field, D and Garnier, E and Geser, G and Gilbert, J and Grosche, and Grosser, D and Hardisty, A and Herbinet, B and Hobern, D and Jones, A and de Jong, Y and King, D and Knapp, S and Koivula, H and Los, W and Meyer, C and Morris, RA and Morrison, N and Morse, D and Obst, M and Pafilis, E and Page, LM and Page, R and Pape, T and Parr, C and Paton, A and Patterson, D and Paymal, E and Penev, L and Pollet, M and Pyle, R and von Raab-Straube, E and Robert, V and Roberts, D and Robertson, T and Rovellotti, O and Saarenmaa, H and Schalk, P and Schaminee, J and Schofield, P and Sier, A and Sierra, S and Smith, V and van Spronsen, E and Thornton-Wood, S and van Tienderen, P and van Tol, J and Tuama, ÉÓ and Uetz, P and Vaas, L and Vignes Lebbe, R and Vision, T and Vu, D and De Wever, A and White, R and Willis, K and Young, F},
title = {A decadal view of biodiversity informatics: challenges and priorities.},
journal = {BMC ecology},
volume = {13},
number = {},
pages = {16},
pmid = {23587026},
issn = {1472-6785},
mesh = {Animals ; *Biodiversity ; Computational Biology/*instrumentation/*methods ; Ecosystem ; Humans ; Information Dissemination ; },
abstract = {Biodiversity informatics plays a central enabling role in the research community's efforts to address scientific conservation and sustainability issues. Great strides have been made in the past decade establishing a framework for sharing data, where taxonomy and systematics has been perceived as the most prominent discipline involved. To some extent this is inevitable, given the use of species names as the pivot around which information is organised. To address the urgent questions around conservation, land-use, environmental change, sustainability, food security and ecosystem services that are facing Governments worldwide, we need to understand how the ecosystem works. So, we need a systems approach to understanding biodiversity that moves significantly beyond taxonomy and species observations. Such an approach needs to look at the whole system to address species interactions, both with their environment and with other species.It is clear that some barriers to progress are sociological, basically persuading people to use the technological solutions that are already available. This is best addressed by developing more effective systems that deliver immediate benefit to the user, hiding the majority of the technology behind simple user interfaces. An infrastructure should be a space in which activities take place and, as such, should be effectively invisible.This community consultation paper positions the role of biodiversity informatics, for the next decade, presenting the actions needed to link the various biodiversity infrastructures invisibly and to facilitate understanding that can support both business and policy-makers. The community considers the goal in biodiversity informatics to be full integration of the biodiversity research community, including citizens' science, through a commonly-shared, sustainable e-infrastructure across all sub-disciplines that reliably serves science and society alike.},
}

Animals
*Biodiversity
Computational Biology/*instrumentation/*methods
Ecosystem
Humans
Information Dissemination