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Bibliography on: Ecological Informatics

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Robert J. Robbins is a biologist, an educator, a science administrator, a publisher, an information technologist, and an IT leader and manager who specializes in advancing biomedical knowledge and supporting education through the application of information technology. More About:  RJR | OUR TEAM | OUR SERVICES | THIS WEBSITE

RJR: Recommended Bibliography 23 Mar 2025 at 01:42 Created: 

Ecological Informatics

Wikipedia: Ecological Informatics Ecoinformatics, or ecological informatics, is the science of information (Informatics) in Ecology and Environmental science. It integrates environmental and information sciences to define entities and natural processes with language common to both humans and computers. However, this is a rapidly developing area in ecology and there are alternative perspectives on what constitutes ecoinformatics. A few definitions have been circulating, mostly centered on the creation of tools to access and analyze natural system data. However, the scope and aims of ecoinformatics are certainly broader than the development of metadata standards to be used in documenting datasets. Ecoinformatics aims to facilitate environmental research and management by developing ways to access, integrate databases of environmental information, and develop new algorithms enabling different environmental datasets to be combined to test ecological hypotheses. Ecoinformatics characterize the semantics of natural system knowledge. For this reason, much of today's ecoinformatics research relates to the branch of computer science known as Knowledge representation, and active ecoinformatics projects are developing links to activities such as the Semantic Web. Current initiatives to effectively manage, share, and reuse ecological data are indicative of the increasing importance of fields like Ecoinformatics to develop the foundations for effectively managing ecological information. Examples of these initiatives are the National Science Foundation's Datanet , DataONE and Data Conservancy projects.

Created with PubMed® Query: ( "ecology OR ecological" AND ("data management" OR informatics) NOT "assays for monitoring autophagy" ) NOT pmcbook NOT ispreviousversion

Citations The Papers (from PubMed®)

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RevDate: 2025-03-21

Hesson JC, Haba Y, McBride CS, et al (2025)

A chromosomal reference genome sequence for the northern house mosquito, Culex pipiens form pipiens, Linnaeus, 1758.

Wellcome open research, 10:107.

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.

RevDate: 2025-03-20

Dong J, Dai W, Xu J, et al (2025)

Impact and elastic modulus of coal mining on terrestrial ecosystems.

Scientific reports, 15(1):9454.

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.

RevDate: 2025-03-20
CmpDate: 2025-03-20

Mammides C, Ieronymidou C, H Papadopoulos (2025)

An ecoacoustic dataset collected on the island of Cyprus in the Mediterranean Basin biodiversity hotspot.

Scientific data, 12(1):461.

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.

RevDate: 2025-03-20
CmpDate: 2025-03-20

Zhang G, Ristola P, Su H, et al (2025)

BioArchLinux: community-driven fresh reproducible software repository for life sciences.

Bioinformatics (Oxford, England), 41(3):.

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.

RevDate: 2025-03-19
CmpDate: 2025-03-19

Rank M, Kather A, Wilke D, et al (2025)

Limitations of estimating antibiotic resistance using German hospital consumption data - a comprehensive computational analysis.

Scientific reports, 15(1):9244.

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.

RevDate: 2025-03-19
CmpDate: 2025-03-19

Árvay J, Hauptvogl M, Demková L, et al (2025)

GIS-based Visualization of Elemental Distribution in Neoboletus Luridiformis Fruiting Body.

Biological trace element research, 203(4):2271-2283.

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.

RevDate: 2025-03-18

Sivell O, Sivell D, Mitchell R, et al (2025)

The genome sequence of the Small Red Damselfly, Ceriagrion tenellum (de Villers, 1789).

Wellcome open research, 10:79.

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.

RevDate: 2025-03-18
CmpDate: 2025-03-18

Rakkannan G, Mohanty AK, Das II, et al (2025)

Triflumezopyrim induced oxidative stress, DNA damage and apoptosis on Labeo rohita: Insights from Bioinformatics, Histopathological and Molecular approaches.

International journal of biological macromolecules, 304(Pt 2):140911.

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.

RevDate: 2021-10-21
CmpDate: 2014-04-23

Weston ED, Whitfield DP, Travis JM, et al (2013)

When do young birds disperse? Tests from studies of golden eagles in Scotland.

BMC ecology, 13:42.

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.

RevDate: 2024-05-06
CmpDate: 2013-12-11

Hardisty A, Roberts D, Biodiversity Informatics Community, et al (2013)

A decadal view of biodiversity informatics: challenges and priorities.

BMC ecology, 13:16.

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.

RevDate: 2021-10-21
CmpDate: 2013-06-06

Tonk L, Bongaerts P, Sampayo EM, et al (2013)

SymbioGBR: a web-based database of Symbiodinium associated with cnidarian hosts on the Great Barrier Reef.

BMC ecology, 13:7.

BACKGROUND: The algal endosymbionts (genus Symbiodinium) associated with scleractinian corals (and other reef invertebrates) have received a lot of research attention in the past decade, particularly as certain host-symbiont associations appear more affected by increasing seawater temperatures than others. With the rapid accumulation of information on the diversity of Symbiodinium, it is becoming increasingly difficult to compare newly acquired Symbiodinium data with existing data to detect patterns of host-symbiont specificity on broader spatial scales. The lack of a general consensus on the classification of Symbiodinium species coupled with the variety of different markers used to identify the genus Symbiodinium (ITS1, ITS2, LSU D1/D2, chloroplast 23S rDNA and psbA minicircle) further complicate direct comparison.

DESCRIPTION: The SymbioGBR database compiles all currently available Symbiodinium sequences and associated host information of data collected from the Great Barrier Reef into a single relational database that is accessible via a user-friendly, searchable web-based application (http://www.SymbioGBR.org). SymbioGBR allows users to query Symbiodinium types or sequences sourced from various genetic markers (e.g. ITS1, ITS2, LSU D1/D2 and chloroplast 23S) and invertebrate host species to explore their reported associations. In addition, as the database includes sequence information of multiple genetic markers, it allows cross-referencing between conventional (e.g. ITS2 region) and novel markers that exhibit low intragenomic variability (e.g. psbA region). Finally, the database is based on the collection details of individual specimens. Such host-symbiont associations can be assessed quantitatively and viewed in relation to their environmental and geographic context.

CONCLUSIONS: The SymbioGBR database provides a comprehensive overview of Symbiodinium diversity and host-associations on the Great Barrier Reef. It provides a quick, user-friendly means to compare newly acquired data on Symbiodinium (e.g. raw sequences or characterized Symbiodinium types) with previous data on the diversity of invertebrate host-symbiont associations on the GBR. The inclusion of psbAncr sequence information allows for validation of widely used ITS1/ITS2 markers and their ability to accurately identify relevant sequences. Most importantly, centralization of sequence information from multiple genetic markers will aid the classification of Symbiodinium species diversity and allow researchers to easily compare patterns of host-Symbiodinium associations.

RevDate: 2024-03-21
CmpDate: 2013-04-22

Renaud AK, Savage J, SJ Adamowicz (2012)

DNA barcoding of Northern Nearctic Muscidae (Diptera) reveals high correspondence between morphological and molecular species limits.

BMC ecology, 12:24.

BACKGROUND: Various methods have been proposed to assign unknown specimens to known species using their DNA barcodes, while others have focused on using genetic divergence thresholds to estimate "species" diversity for a taxon, without a well-developed taxonomy and/or an extensive reference library of DNA barcodes. The major goals of the present work were to: a) conduct the largest species-level barcoding study of the Muscidae to date and characterize the range of genetic divergence values in the northern Nearctic fauna; b) evaluate the correspondence between morphospecies and barcode groupings defined using both clustering-based and threshold-based approaches; and c) use the reference library produced to address taxonomic issues.

RESULTS: Our data set included 1114 individuals and their COI sequences (951 from Churchill, Manitoba), representing 160 morphologically-determined species from 25 genera, covering 89% of the known fauna of Churchill and 23% of the Nearctic fauna. Following an iterative process through which all specimens belonging to taxa with anomalous divergence values and/or monophyly issues were re-examined, identity was modified for 9 taxa, including the reinstatement of Phaonia luteva (Walker) stat. nov. as a species distinct from Phaonia errans (Meigen). In the post-reassessment data set, no distinct gap was found between maximum pairwise intraspecific distances (range 0.00-3.01%) and minimum interspecific distances (range: 0.77-11.33%). Nevertheless, using a clustering-based approach, all individuals within 98% of species grouped with their conspecifics with high (>95%) bootstrap support; in contrast, a maximum species discrimination rate of 90% was obtained at the optimal threshold of 1.2%. DNA barcoding enabled the determination of females from 5 ambiguous species pairs and confirmed that 16 morphospecies were genetically distinct from named taxa. There were morphological differences among all distinct genetic clusters; thus, no cases of cryptic species were detected.

CONCLUSIONS: Our findings reveal the great utility of building a well-populated, species-level reference barcode database against which to compare unknowns. When such a library is unavailable, it is still possible to obtain a fairly accurate (within ~10%) rapid assessment of species richness based upon a barcode divergence threshold alone, but this approach is most accurate when the threshold is tuned to a particular taxon.

RevDate: 2021-10-21
CmpDate: 2013-04-22

Sherwood AR, Wang N, Carlile AL, et al (2012)

The Hawaiian Freshwater Algal Database (HfwADB): a laboratory LIMS and online biodiversity resource.

BMC ecology, 12:22.

BACKGROUND: Biodiversity databases serve the important role of highlighting species-level diversity from defined geographical regions. Databases that are specially designed to accommodate the types of data gathered during regional surveys are valuable in allowing full data access and display to researchers not directly involved with the project, while serving as a Laboratory Information Management System (LIMS). The Hawaiian Freshwater Algal Database, or HfwADB, was modified from the Hawaiian Algal Database to showcase non-marine algal specimens collected from the Hawaiian Archipelago by accommodating the additional level of organization required for samples including multiple species.

DESCRIPTION: The Hawaiian Freshwater Algal Database is a comprehensive and searchable database containing photographs and micrographs of samples and collection sites, geo-referenced collecting information, taxonomic data and standardized DNA sequence data. All data for individual samples are linked through unique 10-digit accession numbers ("Isolate Accession"), the first five of which correspond to the collection site ("Environmental Accession"). Users can search online for sample information by accession number, various levels of taxonomy, habitat or collection site. HfwADB is hosted at the University of Hawaii, and was made publicly accessible in October 2011. At the present time the database houses data for over 2,825 samples of non-marine algae from 1,786 collection sites from the Hawaiian Archipelago. These samples include cyanobacteria, red and green algae and diatoms, as well as lesser representation from some other algal lineages.

CONCLUSIONS: HfwADB is a digital repository that acts as a Laboratory Information Management System for Hawaiian non-marine algal data. Users can interact with the repository through the web to view relevant habitat data (including geo-referenced collection locations) and download images of collection sites, specimen photographs and micrographs, and DNA sequences. It is publicly available at http://algae.manoa.hawaii.edu/hfwadb/.

RevDate: 2024-03-20
CmpDate: 2011-12-05

Gonzalez SC, Soto-Centeno JA, DL Reed (2011)

Population distribution models: species distributions are better modeled using biologically relevant data partitions.

BMC ecology, 11:20.

BACKGROUND: Predicting the geographic distribution of widespread species through modeling is problematic for several reasons including high rates of omission errors. One potential source of error for modeling widespread species is that subspecies and/or races of species are frequently pooled for analyses, which may mask biologically relevant spatial variation within the distribution of a single widespread species. We contrast a presence-only maximum entropy model for the widely distributed oldfield mouse (Peromyscus polionotus) that includes all available presence locations for this species, with two composite maximum entropy models. The composite models either subdivided the total species distribution into four geographic quadrants or by fifteen subspecies to capture spatially relevant variation in P. polionotus distributions.

RESULTS: Despite high Area Under the ROC Curve (AUC) values for all models, the composite species distribution model of P. polionotus generated from individual subspecies models represented the known distribution of the species much better than did the models produced by partitioning data into geographic quadrants or modeling the whole species as a single unit.

CONCLUSIONS: Because the AUC values failed to describe the differences in the predictability of the three modeling strategies, we suggest using omission curves in addition to AUC values to assess model performance. Dividing the data of a widespread species into biologically relevant partitions greatly increased the performance of our distribution model; therefore, this approach may prove to be quite practical and informative for a wide range of modeling applications.

RevDate: 2021-10-20
CmpDate: 2008-01-25

Blundell AG, TV Burkey (2007)

A database of schemes that prioritize sites and species based on their conservation value: focusing business on biodiversity.

BMC ecology, 7:10.

BACKGROUND: Biodiversity offsets are conservation projects used mainly by business to counterbalance the environmental impacts of their operations, with the aim of achieving a net neutral or even beneficial outcome for biodiversity. Companies considering offsets need to know: (1) if there are areas of such biological importance that no impact is acceptable, and outside of these no-go areas, (2) the relative importance of biodiversity in the impacted site versus the site(s) proposed for protection, to ensure that the offset is of equal or greater status than that lost through the company's operations. We compiled a database of 40 schemes that use various methods to assess conservation priorities, and we examined if the schemes would allow companies to answer the above questions.

DESCRIPTION: Overall, schemes tend to be designed to guide conservation organizations in their own priority setting or they categorize species based on conservation status. Generally, the schemes do not provide all the necessary information for offsets because they operate at a broad spatial scale or with low spatial resolution, which make it difficult to assess sites at the project level. Furthermore, most schemes do not explicitly incorporate threat, which we consider key to assessing whether offsets protect habitats or species that would otherwise be lost (i.e., provide additionality). The schemes are useful, however, for identifying the major conservation issues in different ecosystems around the globe.

CONCLUSION: Companies can proceed by first avoiding, reducing, and mitigating impacts, and then using existing schemes to identify i) no-go areas and ii) appropriate offsets to compensate for any unavoidable loss in biodiversity. If existing schemes are inadequate, then companies should use integrated conservation planning techniques to define offset options within the region of their operations.

RevDate: 2024-03-15
CmpDate: 2007-01-10

Johnson K, Neville TB, P Neville (2006)

GIS habitat analysis for lesser prairie-chickens in southeastern New Mexico.

BMC ecology, 6:18.

BACKGROUND: We conducted Geographic Information System (GIS) habitat analyses for lesser prairie-chicken (LPCH, Tympanuchus pallidicinctus) conservation planning. The 876,799 ha study area included most of the occupied habitat for the LPCH in New Mexico. The objectives were to identify and quantify: 1. suitable LPCH habitat in New Mexico, 2. conversion of native habitats, 3. potential for habitat restoration, and 4. unsuitable habitat available for oil and gas activities.

RESULTS: We found 16% of suitable habitat (6% of the study area) distributed in 13 patches of at least 3,200 ha and 11% of suitable habitat (4% of the study area) distributed in four patches over 7,238 ha. The area converted from native vegetation types comprised 17% of the study area. Ninety-five percent of agricultural conversion occurred on private lands in the northeastern corner of the study area. Most known herbicide-related conversions (82%) occurred in rangelands in the western part of the study area, on lands managed primarily by the US Bureau of Land Management (BLM). We identified 88,190 ha (10% of the study area) of habitats with reasonable restoration potential. Sixty-two percent of the primary population area (PPA) contained occupied, suitable, or potentially suitable habitat, leaving 38% that could be considered for oil and gas development.

CONCLUSION: Although suitable LPCH habitat appears at first glance to be abundant in southeastern New Mexico, only a fraction of apparently suitable vegetation types constitute quality habitat. However, we identified habitat patches that could be restored through mesquite control or shin-oak reintroduction. The analysis also identified areas of unsuitable habitat with low restoration potential that could be targeted for oil and gas exploration, in lieu of occupied, high-quality habitats. Used in combination with GIS analysis and current LPCH population data, the habitat map represents a powerful conservation and management tool.

RevDate: 2025-03-15

Hartley GA, Okhovat M, Hoyt SJ, et al (2025)

Centromeric transposable elements and epigenetic status drive karyotypic variation in the eastern hoolock gibbon.

Cell genomics pii:S2666-979X(25)00064-3 [Epub ahead of print].

Great apes have maintained a stable karyotype with few large-scale rearrangements; in contrast, gibbons have undergone a high rate of chromosomal rearrangements coincident with rapid centromere turnover. Here, we characterize fully assembled centromeres in the eastern hoolock gibbon, Hoolock leuconedys (HLE), finding a diverse group of transposable elements (TEs) that differ from the canonical alpha-satellites found across centromeres of other apes. We find that HLE centromeres contain a CpG methylation centromere dip region, providing evidence that this epigenetic feature is conserved in the absence of satellite arrays. We uncovered a variety of atypical centromeric features, including protein-coding genes and mismatched replication timing. Further, we identify duplications and deletions in HLE centromeres that distinguish them from other gibbons. Finally, we observed differentially methylated TEs, topologically associated domain boundaries, and segmental duplications at chromosomal breakpoints, and thus propose that a combination of multiple genomic attributes with propensities for chromosome instability shaped gibbon centromere evolution.

RevDate: 2025-03-15
CmpDate: 2025-03-15

Mbuba E, Mañas-Chavernas N, Moore SJ, et al (2025)

Estimating the hole surface area of insecticide-treated nets using image analysis, manual hole counting and exact hole measurements.

Malaria journal, 24(1):82.

BACKGROUND: The physical integrity of insecticidal-treated nets (ITNs) is important for creating a barrier against host-seeking mosquitoes and, therefore, influences people's perception of the net's effectiveness and their willingness to use it. Monitoring the physical integrity of ITNs over time provides information for replenishment schedules and purchasing decisions. Currently, the assessment of physical integrity of ITNs is conducted by manually counting holes and estimating their size to class the net as functional or not. This approach is laborious to routinely conduct during field surveys of ITNs. Automated image analysis may provide a rapid assessment of the physical integrity of ITNs but it is not known if the images can capture sufficient information. As a first step, this study aimed to assess the agreement between estimated hole surface areas derived from (1) manually segmented images, (2) manual hole counting compared to (3) ground truth obtained by calibrated close-up shots of individual holes.

METHODS: The physical integrity of 75 ITNs purposely selected from an ongoing study was assessed by manual hole counting, image analysis and ground truth. For the image analysis, a graphical user interface was developed and used for the segmentation of holes visible in photographs taken from each side of the net. The hole surface area was then computed from this data. The agreement between the estimates from image analysis and manual hole counting was compared to the ground truth using the Bland-Altman method.

RESULTS: There was substantial agreement between the manually segmented image analysis estimates and the ground truth hole surface areas. The overall bias was small, with a mean ratio of the hole surface area from image analysis to the ground truth of 0.70, and the 95% limits of agreement ranging from 0.35 to 1.38. Manual hole counting underestimated the hole surface area compared to the ground truth, particularly among nets with holes above 10 cm in diameter.

CONCLUSION: Images coupled with manual segmentation contain sufficient information to calculate hole surface area. This lays the groundwork for incorporating automatic hole detection, and then assessing whether this method will offer a fast and objective method for routine assessment of physical integrity of ITNs. While the WHO method underestimated the hole surface area, it remains useful in classifying nets as either serviceable or too torn because the cut-off is specific to this method.

RevDate: 2025-03-14

Dong L, Mu L, X Huang (2025)

Exploring lipid remodeling and antioxidant responses in Chlorella pyrenoidosa exposed to streptomycin sulfate stress.

Food chemistry, 478:143565 pii:S0308-8146(25)00816-7 [Epub ahead of print].

Microalgae, particularly Chlorella pyrenoidosa, are valuable for bioactive compounds and biofuel production, but antibiotic use in large-scale cultivation can impact growth and biochemical productivity. This study examines the physiological and molecular responses of C. pyrenoidosa to streptomycin sulfate (STRS) stress. STRS exposure significantly reduced cell density (15.31 × 10[6] to 11.20 × 10[6] cells/mL, p < 0.001) and photosynthetic efficiency (Fv/fm from 0.45 to 0.15). Multi-omics analysis revealed a dual adaptive strategy: (1) activation of antioxidant defenses, including upregulated superoxide dismutase (SOD, 19-fold) and ascorbate peroxidase (APX, 32-fold); (2) lipid remodeling, with increased α-linolenic acid (ALA) content (17.43 % to 21.25 %, p < 0.001) due to β-oxidation downregulation. These findings enhance understanding of microalgal stress adaptation and highlight potential applications in biofuel and food/feed industries. Future studies should optimize genetic and cultivation strategies to enhance these adaptive traits while ensuring ecological sustainability.

RevDate: 2025-03-13
CmpDate: 2025-03-13

Tang Y, Hu H, Chen S, et al (2025)

Multi-omics analysis revealed the novel role of NQO1 in microenvironment, prognosis and immunotherapy of hepatocellular carcinoma.

Scientific reports, 15(1):8591.

NAD(P)H dehydrogenase quinone 1 (NQO1) is overexpressed in various cancers and is strongly associated with an immunosuppressive microenvironment and poor prognosis. In this study, we explored the role of NQO1 in the microenvironment, prognosis and immunotherapy of Hepatocellular carcinoma (HCC) using multi-omics analysis and machine learning. The results revealed that NQO1 was significantly overexpressed in HCC cells. NQO1[+]HCC cells were correlated with poor prognosis and facilitated tumor-associated macrophages (TAMs) polarization to M2 macrophages. We identified core NQO1-related genes (NRGs) and developed the NRGs-related risk-scores in hepatocellular carcinoma (NRSHC). The comprehensive nomogram integrating NRSHC, age, and pathological tumor-node-metastasis (pTNM) Stage achieved an area under the curve (AUC) above 0.7, demonstrating its accuracy in predicting survival outcomes and immunotherapy responses of HCC patients. High-risk patients exhibited worse prognoses but greater sensitivity to immunotherapy. Additionally, a web-based prediction tool was designed to enhance clinical utility. In conclusion, NQO1 may play a critical role in M2 polarization and accelerates HCC progression. The NRSHC model and accompanying tools offer valuable insights for personalized HCC treatment.

RevDate: 2025-03-13
CmpDate: 2025-03-13

Wei P, Song Y, Tian R, et al (2025)

CaecilianTraits, an individual level trait database of Caecilians worldwide.

Scientific data, 12(1):428.

Functional traits differ among species, which determine the ecological niche a species occupies and its ability to adapt to environment. However, differences in traits also exist at intraspecific level. Such variations shape differences in individual survival capabilities. Investigating intraspecific differences of functional traits is important for ecology, evolutionary biology and biodiversity conservation. Individual trait-based approaches have been applied in plant ecology. But for animals, most databases only provide data at the species level. In this study, we presented a global database of morphological traits for caecilians (Amphibia, Gymnophiona) at both species and individual level. Caecilians are a unique group of amphibians characterized by their secretive habits, which have limited our understanding of this taxon. We compiled the most comprehensive database covering 218 out of 222 known species, with 215 of them have individual level data. This database will facilitate research in the ecology, evolutionary biology, conservation biology, and taxonomy of caecilians. Furthermore, this dataset can be utilized to test ecological and evolutionary hypotheses at the individual level.

RevDate: 2025-03-13

Vršanský P, Sendi H, Kotulová J, et al (2025)

Jurassic Park approached: a coccid from Kimmeridgian cheirolepidiacean Aintourine Lebanese amber.

National science review, 12(3):nwae200.

With the exception of a fly and a mite from the Triassic of Italy, all Mesozoic amber arthropods are from the Cretaceous. Late Jurassic Lebanese amber from Aintourine revealed a completely preserved adult coccid male (wing length 0.8 mm), Jankotejacoccus libanogloria gen. et sp. n., the earliest record of a plant sucking scale insect. Associated plant material included the cheirolepidiaceans Protopodocarpoxylon, Brachyphyllum and Classostrobus, plus Classopolis pollen, suggesting a forested temporary swamp habitat with ferns, tree ferns, water ferns, tall araucarian and ginkgoacean trees and shrubs. (Sub)tropic lateritic soil with vegetation debris underwent incomplete microbial decomposition in an anoxic water environment of peat swamp development. Strata-associated marine organisms support the Kimmeridgian age revealed by zircons. The discovery opens a new field of research in Jurassic amber fossils.

RevDate: 2025-03-12
CmpDate: 2025-03-12

Pieroni A, Zocchi DM, Alrhmoun M, et al (2025)

Not "just necessity"? Two-x-eco-cultural dilemmas and the ethnobiological importance of the informal grannies' markets in Moldova.

Journal of ethnobiology and ethnomedicine, 21(1):17.

Informal food markets, particularly those managed by (elderly) women in post-communist Eastern Europe, represent a biocultural phenomenon of profound significance since globalisation and increasingly strict legal frameworks often threaten these reservoirs of biocultural food heritage. In the fall of 2022 and 2023, a preliminary field study was conducted by visiting the informal markets of six Moldovan centres: Chișinău, Orhei, Bălți, Călărași, Comrat, and Taraclia, and conversing with approximately 40 mid-aged and elderly sellers. We argue that these markets are crucial in sustaining small-scale farming, preserving biodiversity, and maintaining a connection between urban communities and rural communities and, ultimately, between these rural citizens and their nature, keeping small-scale family farming and domestic traditional gastronomic activities alive. By trading fresh, homegrown, and homemade food and goods (including handicrafts), these mid-aged and elderly vendors support local economies, promote environmental sustainability, and safeguard traditional ecological knowledge and cultural heritage. This paper explores how grannies' markets contribute to biocultural diversity and sustainable food practices, especially amid the country's recent turbulent political, socioeconomic, and demographic challenges. The analysis advocates for the survival rights of these ecological, economic, and cultural (2-x-eco-cultural) refugia and invites ethnobiologists, food studies and cultural heritage scholars, rural sociologists, and agricultural economists to defend the biocultural diversity of informal food markets, moving them from an "out of necessity" status to a solid pillar of a possible future, new, family farming and small-scale ecological and gastronomic (conscientious) tourism. Policymakers should protect and enhance these informal spaces, especially the socioecological farming systems behind them, as essential socioeconomic and environmental assets. They should emphasise their importance as hubs for biological diversity, cultural preservation, community cohesion, and ecological sustainability.

RevDate: 2025-03-11

Weeks F, Myerson R, Gangnon R, et al (2025)

Intrapartum Care Experiences Associated With Postpartum Visit Attendance.

Birth (Berkeley, Calif.) [Epub ahead of print].

INTRODUCTION: The postpartum visit is an important opportunity to prevent pregnancy-related morbidity and mortality; however, about 1 in 10 birthing people do not attend this visit. Intrapartum care experiences are an understudied factor that may contribute to postpartum healthcare engagement.

MATERIALS AND METHODS: We analyze data from a novel survey supplement on intrapartum care experiences administered to a probability-based population sample of people who have recently given birth through the Wisconsin Pregnancy Risk Assessment Monitoring System.

RESULTS: In regression models adjusting for a robust set of individual characteristics and birth hospital clustering, we find that lower provider responsiveness during intrapartum care is associated with increased odds of forgoing the postpartum visit (aOR 1.4, 95% CI 1.0-2.0).

DISCUSSION: The quality of care received during the birth hospitalization may shape how birthing people feel about health care providers and their willingness to attend future visits. Experiences of care during the intrapartum period may contribute to future health care utilization. Improving these experiences is an opportunity to promote long-term health.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Roman J, Abraham AJ, Kiszka JJ, et al (2025)

Migrating baleen whales transport high-latitude nutrients to tropical and subtropical ecosystems.

Nature communications, 16(1):2125.

Baleen whales migrate from productive high-latitude feeding grounds to usually oligotrophic tropical and subtropical reproductive winter grounds, translocating limiting nutrients across ecosystem boundaries in their bodies. Here, we estimate the latitudinal movement of nutrients through carcasses, placentas, and urea for four species of baleen whales that exhibit clear annual migration, relying on spatial data from publicly available databases, present and past populations, and measurements of protein catabolism and other sources of nitrogen from baleen whales and other marine mammals. Migrating gray, humpback, and North Atlantic and southern right whales convey an estimated 3784 tons N yr[-1] and 46,512 tons of biomass yr[-1] to winter grounds, a flux also known as the "great whale conveyor belt"; these numbers might have been three times higher before commercial whaling. We discuss how species recovery might help restore nutrient movement by whales in global oceans and increase the resilience and adaptative capacity of recipient ecosystems.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Crespo-Bellido A, Martin DP, S Duffy (2025)

Recombination Analysis of Geminiviruses Using Recombination Detection Program (RDP).

Methods in molecular biology (Clifton, N.J.), 2912:125-143.

Geminiviruses are recombination-prone, and characterizing this evolutionary process within their genomes is a frequent goal of researchers. RDP is a stand-alone Windows program combining many algorithms that detect and characterize recombination. It has been widely used by the geminivirus community (and beyond). Here we describe the use of RDP4 and RDP5 for analysis of geminiviral nucleotide sequences including: (i) obtaining a reasonable dataset for analysis, (ii) making a credible multiple sequence alignment and (iii) analyzing an alignment with RDP on that alignment. RDP to both characterize recombination events and to produce statistically recombination-free datasets for other molecular evolution analyses.

RevDate: 2025-03-10

Smith LB, Ahlich E, Lang B, et al (2025)

Glycemic variability and weight-focused eating behaviors among adolescents and young adults with type 1 diabetes†.

Journal of pediatric psychology pii:8068908 [Epub ahead of print].

OBJECTIVE: Type 1 diabetes (T1D) disease management and associated glycemic fluctuations can disrupt experiences of hunger and satiety, which may increase risk for disordered eating behaviors. Glycemic variability may be a useful trigger for just-in-time interventions for disordered eating behaviors. In this exploratory study, we hypothesized that two metrics of glycemic variability would be associated with greater hunger and predict eating behaviors for weight loss or maintenance in adolescents and young adults with T1D.

METHODS: Individuals with T1D were recruited from a university diabetes clinic (N = 34; 50% female, Mage = 19.53 years, MHbA1c = 7.98%; 29% Hispanic/Latinx; 79% White). Participants wore a blinded continuous glucose monitor for 5 days, and completed ecological momentary assessments (four prompts per day) that included measures of hunger and eating behaviors for weight loss or maintenance purposes. Generalized and linear mixed models were used to test hypotheses.

RESULTS: Approximately 30% of participants were at risk for an eating disorder based on Diabetes Eating Problem Survey-Revised scores. Greater glycemic variability did not predict hunger, but was associated with increased odds of endorsing any eating behavior for weight loss or maintenance purposes within-person (ps<.05). Greater hunger was associated with increased odds of endorsing disordered eating behavior within-person (p<.05).

CONCLUSIONS: This exploratory study provides some preliminary evidence that times of greater hunger and glycemic variability may be when individuals with T1D may be at higher risk of engaging in behaviors to lose or maintain weight.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Li Z, Meng C, Azad MAK, et al (2025)

Effects of the Salvia miltiorrhiza, Ligustrum lucidum, and Taraxacum mongolicum ultra-fine powder formula on meat quality of aged layers by multi-omics.

Poultry science, 104(2):104783.

This study was aimed to identify the targets of 1% ultra-fine Chinese medicine formula (UCMF, 0.5% Salvia miltiorrhiza Bge. + 0.25% Ligustrum lucidum Ait. + 0.25% Taraxacum mongolicum Hand.-Mazz.) in delaying aging and explore its impacts on meat quality of aged layers. The effective components of the above three Chinese herbs were screened, and the network pharmacology analysis identified 91 common targets and enriched pathways between herbs and aging. The results showed that cellular response to chemical stimulus, response to oxidative stress, and response to oxygen-containing compound pathways were crucial for UCMF to resist aging. Further in vivo analyses confirmed that UCMF supplementation enhanced the antioxidant function in breast muscles of aged layers by upregulating (P < 0.05) the SOD2 gene expression. Meanwhile, UCMF supplementation reduced (P < 0.05) yellowness (b* value) and drip loss while enhancing (P < 0.05) cooked meat percentage of aged layers. For the health lipid indices in breast muscles, UCMF supplementation increased (P < 0.05) polyunsaturated fatty acids/saturated fatty acids and hypocholesterolemic/hypercholesterolemic ratios and decreased (P < 0.05) the thrombogenic index. The UCMF supplementation optimized the cecal microbiota of aged layers by enhancing the relative abundance of Firmicutes and reducing the relative abundances of Bacteroidetes and Spirochaetes (P < 0.05), which may be related to improving meat quality. In conclusion, dietary UCMF supplementation may be an effective strategy for improving antioxidant function and the meat quality of aged layers.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Zhao X, Jiang WY, Liu JJ, et al (2025)

Unraveling the impact of PFOA toxicity on Zostera marina using a multi-omics approach: Insights from growth, physiological, transcriptomic, and metabolomic signatures.

Journal of hazardous materials, 486:137024.

Perfluorooctanoic acid (PFOA), an anthropogenic organic pollutant known for its persistence, resistance to degradation, and toxicity, has raised significant concerns about its potential ecological impacts. Zostera marina, a common submerged seagrass species in temperate offshore areas, is highly vulnerable to pollutant stressors. However, the impact of PFOA on Z. marina remains unclear. In this study, Z. marina was exposed to different concentrations of PFOA (0, 0.5, 1, 5, 10, and 20 μg/L) for 14 days. We subsequently assessed survival rates, growth patterns, physiological indices, transcriptomic profiles, and metabolomic characteristics. The results revealed dose-dependent PFOA accumulation in Z. marina tissues and significant growth inhibition. Furthermore, exposure to PFOA resulted in a significant reduction in photosynthetic pigment content (IBRv2 indices: 2.78-10.29) and elevated enzyme activity (IBRv2 indices: 2.90-8.96). Transcriptomic analysis identified 1511 differentially expressed genes associated with 11 KEGG pathways predominantly affected by PFOA exposure. Weighted gene co-expression network analysis highlighted the crucial role of the hydroxyphenylpyruvate reductase (hppr) gene in antioxidant defense mechanisms and detoxification processes against PFOA-induced stress. Metabolomics identified 412 differentially expressed metabolites, mainly consisting of flavonoids, organic acids, and lipids. In summary, PFOA exposure resulted in the down-regulation of gene expression related to photosynthesis and energy metabolism while also affecting metabolite synthesis. The response of Z. marina to PFOA stress involves modulation of the cytoskeletal dynamics and signal transduction pathways, as well as activation of a suite of genes and metabolites to initiate defense mechanisms.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Zhang L, Du Y, Li Y, et al (2025)

Mitochondrial mechanism of florfenicol-induced nonalcoholic fatty liver disease in zebrafish using multi-omics technology.

Journal of hazardous materials, 486:136958.

Florfenicol (FF), a third-generation chloramphenicol antibiotic widely used in food-producing animals, has become a "pseudopersistent" environmental contaminant, raising concerns about its potential ecological and human health impacts. However, its bioaccumulation behavior and hepatotoxic mechanisms remain poorly understood. This study aims to address these gaps with a 28-day exposure experiment in adult zebrafish at 0.05 and 0.5 mg/L FF. Multiomic analyses (metabolomics, lipidomics, and transcriptomics), combined with histological and mitochondrial function assessments, were employed. Higher bioaccumulation was observed at 0.05 mg/L, potentially due to metabolic saturation at higher concentrations. Histological analysis revealed significant hepatic steatosis (>5 % steatosis area), indicative of moderate nonalcoholic fatty liver disease (NAFLD). Multiomic data demonstrated global dysregulation in energy metabolism, including marked alterations in lipids (accumulation of toxic sphingolipids, excessive fatty acids, and acylglycerol), amino acids, tricarboxylic acid cycle intermediates, and nucleotides. Crucially, mitochondrial dysfunction was identified as a central mechanism, with impaired respiratory chain activities, adenosine triphosphate depletion, elevated reactive oxygen species, and oxidative stress promoting NAFLD progression. These findings highlight mitochondrial impairment and oxidative stress as key drivers of FF-induced hepatotoxicity, providing novel insights into its toxicological mechanisms and emphasizing the ecological risks posed by antibiotic pollution in aquatic systems.

RevDate: 2025-03-10

Boyes D, Davis J, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2025)

The genome sequence of the Sandy Carpet moth, Perizoma flavofasciatum (Thunberg, 1792).

Wellcome open research, 10:40.

We present a genome assembly from a male specimen of Perizoma flavofasciatum (Sandy Carpet; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence has a total length of 369.30 megabases. Most of the assembly (99.88%) is scaffolded into 30 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.61 kilobases in length. Gene annotation of this assembly on Ensembl identified 11,915 protein-coding genes.

RevDate: 2025-03-10

Boyes D, Boyes C, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2025)

The genome sequence of the Alder Moth, Acronicta alni (Linnaeus, 1767).

Wellcome open research, 10:68.

We present a genome assembly from a male Acronicta alni (Alder Moth; Arthropoda; Insecta; Lepidoptera; Noctuidae). The assembly contains two haplotypes with total lengths of 470.37 megabases and 472.86 megabases. Most of haplotype 1 (98.95%) is scaffolded into 31 chromosomal pseudomolecules, including the Z chromosome. Haplotype 2 was assembled to scaffold level. The mitochondrial genome has also been assembled and is 15.38 kilobases in length.

RevDate: 2025-03-10
CmpDate: 2025-03-10

Ab Kadir MA, Abdul Manaf R, Mokhtar SA, et al (2025)

Identifying leptospirosis hotspots in Selangor: uncovering climatic connections using remote sensing and developing a predictive model.

PeerJ, 13:e18851.

BACKGROUND: Leptospirosis is an endemic disease in countries with tropical climates such as South America, Southern Asia, and Southeast Asia. There has been an increase in leptospirosis incidence in Malaysia from 1.45 to 25.94 cases per 100,000 population between 2005 and 2014. With increasing incidence in Selangor, Malaysia, and frequent climate change dynamics, a study on the disease hotspot areas and their association with the hydroclimatic factors could enhance disease surveillance and public health interventions.

METHODS: This ecological cross-sectional study utilised a geographic information system (GIS) and remote sensing techniques to analyse the spatiotemporal distribution of leptospirosis in Selangor from 2011 to 2019. Laboratory-confirmed leptospirosis cases (n = 1,045) were obtained from the Selangor State Health Department. Using ArcGIS Pro, spatial autocorrelation analysis (Moran's I) and Getis-Ord Gi* (hotspot analysis) was conducted to identify hotspots based on the monthly aggregated cases for each subdistrict. Satellite-derived rainfall and land surface temperature (LST) data were acquired from NASA's Giovanni EarthData website and processed into monthly averages. These data were integrated into ArcGIS Pro as thematic layers. Machine learning algorithms, including support vector machine (SVM), Random Forest (RF), and light gradient boosting machine (LGBM) were employed to develop predictive models for leptospirosis hotspot areas. Model performance was then evaluated using cross-validation and metrics such as accuracy, precision, sensitivity, and F1-score.

RESULTS: Moran's I analysis revealed a primarily random distribution of cases across Selangor, with only 20 out of 103 observed having a clustered distribution. Meanwhile, hotspot areas were mainly scattered in subdistricts throughout Selangor with clustering in the central region. Machine learning analysis revealed that the LGBM algorithm had the best performance scores compared to having a cross-validation score of 0.61, a precision score of 0.16, and an F1-score of 0.23. The feature importance score indicated river water level and rainfall contributes most to the model.

CONCLUSIONS: This GIS-based study identified a primarily sporadic occurrence of leptospirosis in Selangor with minimal spatial clustering. The LGBM algorithm effectively predicted leptospirosis hotspots based on the analysed hydroclimatic factors. The integration of GIS and machine learning offers a promising framework for disease surveillance, facilitating targeted public health interventions in areas at high risk for leptospirosis.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Guerrero PC, Contador T, Díaz A, et al (2025)

Southern Islands Vascular Flora (SIVFLORA) dataset: A global plant database from Southern Ocean islands.

Scientific data, 12(1):397.

The Southern Islands Vascular Flora (SIVFLORA) dataset is a globally significant, open-access resource that compiles essential biodiversity data on vascular plants from islands across the Southern Ocean. The SIVFLORA dataset was generated through five steps: study area delimitation, compiling the dataset, validating and harmonizing taxonomy, structuring dataset attributes, and establishing file format and open access. Covering major taxonomic divisions, SIVFLORA offers a comprehensive overview of plant occurrences, comprising 14,589 records representing 886 species, 95 families, and 42 orders. This dataset documents that 58.62% of the taxa are native, 9.61% are endemic, and 31.77% are alien species. The Falkland/Malvinas Archipelago, the most species-rich, contrast sharply with less diverse islands like the South Orkney Archipelago. SIVFLORA serves as a taxonomically harmonized, interoperable resource for investigating plant diversity patterns, ecosystem responses to climate change in extreme environments, island biogeography, endemism, and the effects of anthropogenic pressures on Southern Ocean flora.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Ferrer-Paris JR, Sánchez-Mercado A, Cornwell WK, et al (2025)

Fire ecology database for documenting plant responses to fire events in Australia.

Scientific data, 12(1):399.

An understanding of fire-response traits is essential for predicting how fire regimes structure plant communities and for informing fire management strategies for biodiversity conservation. Quantification of these traits is complex, encompassing several levels of data abstraction scaling up from field observations of individuals, to general categories of species responses. We developed the Fire Ecology Database to accommodate this complexity. Its conceptual framework is underpinned by a flexible data pipeline enabling links between fire-related trait data and event information at individual, population, and community levels. Key features include: (a) concise and documented trait and method vocabularies; (b) documented uncertainty in observations and aggregation; and (c) documented origin of data including field observations, laboratory experiments, and expert elicitation. We demonstrated application of our framework using data from new field surveys and existing data sets in New South Wales, Australia. The database includes 14 traits for 6,287 plant species derived from 8,936 field work records from 2007 to 2018, 7,054 field records from surveys after 2019, and 48,306 records from 301 existing sources.

RevDate: 2025-03-07

Guarischi M, Montagnani E, Catalano G, et al (2025)

From motion to interaction: How multisensory information shapes motor behaviors in children with visual impairment.

Research in developmental disabilities, 159:104956 pii:S0891-4222(25)00040-X [Epub ahead of print].

BACKGROUND: The ability to move independently enables children to develop perceptual, cognitive, and social interaction skills. Concerning this, vision holds a key role. As a result, children with visual impairment (VI) might be more challenged in their ability to move within their surroundings and interact with their caregivers.

AIM: This study investigated whether the use of multisensory stimuli could influence the motor exploration of children with VI and shape their interaction with the caregivers. For this, the present work examined the variability of children's motor trajectory and the distance between children and caregivers in a setting with and without multisensory cues.

METHODS AND PROCEDURES: A Motion Capture System was used within an ecological playroom environment. The Strange Situation paradigm was simplified and adapted by placing three TechARMs in the corners of the playroom to deliver audio-visual stimuli, used instead of the stranger.

OUTCOMES AND RESULTS: Children with VI showed larger variability within their motor trajectory and kept a shorter distance from the caregivers when multisensory cues were introduced in the playroom.

CONCLUSIONS AND IMPLICATIONS: Multisensory signals were considered unusual and influenced the kinematic parameters. Motor control of the environment was achieved by managing attention flexibility. WHAT DOES THIS PAPER ADD?: This study enriches available evidence about the study of motor and social interaction in children with VI, highlighting how multisensory stimuli could either support or hinder social and motor behaviors. Moreover, enhancing ecological validity could drive progress in the development and application of technological devices to clinical and research setting.

RevDate: 2025-03-08
CmpDate: 2025-03-06

Agyapong D, Propster JR, Marks J, et al (2025)

Cross-validation for training and testing co-occurrence network inference algorithms.

BMC bioinformatics, 26(1):74.

BACKGROUND: Microorganisms are found in almost every environment, including soil, water, air and inside other organisms, such as animals and plants. While some microorganisms cause diseases, most of them help in biological processes such as decomposition, fermentation and nutrient cycling. Much research has been conducted on the study of microbial communities in various environments and how their interactions and relationships can provide insight into various diseases. Co-occurrence network inference algorithms help us understand the complex associations of micro-organisms, especially bacteria. Existing network inference algorithms employ techniques such as correlation, regularized linear regression, and conditional dependence, which have different hyper-parameters that determine the sparsity of the network. These complex microbial communities form intricate ecological networks that are fundamental to ecosystem functioning and host health. Understanding these networks is crucial for developing targeted interventions in both environmental and clinical settings. The emergence of high-throughput sequencing technologies has generated unprecedented amounts of microbiome data, necessitating robust computational methods for network inference and validation.

RESULTS: Previous methods for evaluating the quality of the inferred network include using external data, and network consistency across sub-samples, both of which have several drawbacks that limit their applicability in real microbiome composition data sets. We propose a novel cross-validation method to evaluate co-occurrence network inference algorithms, and new methods for applying existing algorithms to predict on test data. Our method demonstrates superior performance in handling compositional data and addressing the challenges of high dimensionality and sparsity inherent in real microbiome datasets. The proposed framework also provides robust estimates of network stability.

CONCLUSIONS: Our empirical study shows that the proposed cross-validation method is useful for hyper-parameter selection (training) and comparing the quality of inferred networks between different algorithms (testing). This advancement represents a significant step forward in microbiome network analysis, providing researchers with a reliable tool for understanding complex microbial interactions. The method's applicability extends beyond microbiome studies to other fields where network inference from high-dimensional compositional data is crucial, such as gene regulatory networks and ecological food webs. Our framework establishes a new standard for validation in network inference, potentially accelerating discoveries in microbial ecology and human health.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Bougiouri K (2025)

Mind the Gap: A Neural Network Framework for Imputing Genotypes in Non-Model Species.

Molecular ecology resources, 25(3):e14066.

Reduced representation sequencing (RRS) has proven to be a cost-effective solution for sequencing subsets of the genome in non-model species for large-scale studies. However, the targeted nature of RRS approaches commonly introduces large amounts of missing data, leading to reduced statistical power and biased estimates in downstream analyses. Genotype imputation, the statistical inference of missing sites across the genome, is a powerful alternative to overcome the caveats associated with missing sites. Typically, genotype imputation requires the presence of a reference panel of haplotypes, however, this is not always feasible for non-model species. In this issue of Molecular Ecology Resources, Mora-Márquez et al. (2024) develop gtImputation, an unsupervised machine learning imputation tool with an interactive GUI, which leverages information from the underlying data structure itself, without the need for a reference panel. They showcase that their method performs equally well and even surpasses existing haplotype-clustering and unsupervised machine learning algorithms, particularly for sites with low minor allele frequency (MAF) and for data sets with strong underlying population structure. This innovative framework adds to the ongoing efforts to expand the applicability of imputation to non-model species, offering the opportunity to apply varied types of analyses requiring dense sets of markers, while also maintaining lower sequencing costs.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Bard NW, Davies TJ, QCB Cronk (2025)

Teknonaturalist: A Snakemake Pipeline for Assessing Fungal Diversity From Plant Genome Bycatch.

Molecular ecology resources, 25(3):e14056.

Relatively little is known of the host associations and compatibility of fungal plant pathogens and endophytes. Publicly available plant genomic DNA can be mined to detect incidental fungal DNA, but taxonomic assignment can be challenging due to short lengths and variable discriminative power among different genomic regions and taxa. Here, we introduce a computationally lightweight and accessible Snakemake pipeline for rapid detection and classification (identification and assignment to taxonomic rank) of pathogenic and endophytic fungi (and other fungi associated with plants) that targets the internal transcribed spacer (ITS) region, a fungal barcode standard. We include methods for maximising query sequence length, which gives higher support for ITS1 and ITS2 taxonomic classifications by extending to other fragments of the ITS region and providing taxon-specific local cut-off and confidence scores. We demonstrate our pipeline with a case study using public genomic sequence data for six diverse plant species, including four species within Betula, an ecologically and economically important broadleaved forest tree genus, a shrub and a grass. Our pipeline classified fungi within minutes to a few hours per host individual, with 204 different fungal genera identified at high confidence (≥ 70%). Our pipeline detected and classified pathogenic and endophytic genera known to associate with Betula, and many others with no prior record of association. Our pipeline, leveraging existing sequence data, has several potential applications, including detecting cryptic fungal pathogens and helping characterise the endophytic fungal microbiome, bioprospecting commercially useful fungal species, and determining the plant host range of fungi.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Armstrong EE, Li C, Campana MG, et al (2025)

A Pipeline and Recommendations for Population and Individual Diagnostic SNP Selection in Non-Model Species.

Molecular ecology resources, 25(3):e14048.

Despite substantial reductions in the cost of sequencing over the last decade, genetic panels remain relevant due to their cost-effectiveness and flexibility across a variety of sample types. In particular, single nucleotide polymorphism (SNP) panels are increasingly favoured for conservation applications. SNP panels are often used because of their adaptability, effectiveness with low-quality samples, and cost-efficiency for population monitoring and forensics. However, the selection of diagnostic SNPs for population assignment and individual identification can be challenging. The consequences of poor SNP selection are under-powered panels, inaccurate results, and monetary loss. Here, we develop a novel and user-friendly SNP selection pipeline (mPCRselect) that can be used to select SNPs for population assignment and/or individual identification. mPCRselect allows any researcher, who has sufficient SNP-level data, to design a successful and cost-effective SNP panel for a diploid species of conservation concern.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Beemelmanns A, Bouchard R, Michaelides S, et al (2025)

Development of SNP Panels from Low-Coverage Whole Genome Sequencing (lcWGS) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada.

Molecular ecology resources, 25(3):e14040.

Single nucleotide polymorphism (SNP) panels are powerful tools for assessing the genetic population structure and dispersal of fishes and can enhance management practices for commercial, recreational and subsistence mixed-stock fisheries. Arctic Char (Salvelinus alpinus), Brook Trout (Salvelinus fontinalis) and Lake Whitefish (Coregonus clupeaformis) are among the most harvested and consumed fish species in Northern Indigenous communities in Canada, contributing significantly to food security, culture, tradition and economy. However, genetic resources supporting Indigenous fisheries have not been widely accessible to northern communities (e.g. Inuit, Cree, Dene). Here, we developed Genotyping-in-Thousands by sequencing (GT-seq) panels for population assignment and mixed-stock analyses of three salmonids, to support fisheries stewardship or co-management in Northern Canada. Using low-coverage Whole Genome Sequencing data from 418 individuals across source populations in Cambridge Bay (Nunavut), Great Slave Lake (Northwest Territories), James Bay (Québec) and Mistassini Lake (Québec), we developed a bioinformatic SNP filtering workflow to select informative SNP markers from genotype likelihoods. These markers were then used to design GT-seq panels, thus enabling high-throughput genotyping for these species. The three GT-seq panels yielded an average of 413 autosomal loci and were validated using 525 individuals with an average assignment accuracy of 83%. Thus, these GT-seq panels are powerful tools for assessing population structure and quantifying the relative contributions of populations/stocks in mixed-stock fisheries across multiple regions. Interweaving genomic data derived from these tools with Traditional Ecological Knowledge will ensure the sustainable harvest of three culturally important salmonids in Indigenous communities, contributing to food security programmes and the economy in Northern Canada.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Li J, Gao Y, Shu G, et al (2025)

HMicroDB: A Comprehensive Database of Herpetofaunal Microbiota With a Focus on Host Phylogeny, Physiological Traits, and Environment Factors.

Molecular ecology resources, 25(3):e14046.

Symbiotic microbiota strongly impact host physiology. Amphibians and reptiles occupy a pivotal role in the evolutionary history of Animalia, and they are of significant ecological, economic, and scientific value. Many prior studies have found that symbiotic microbiota in herpetofaunal species are closely associated with host phylogeny, physiological traits, and environmental factors; however, insufficient integrated databases hinder researchers from querying, accessing, and reanalyzing these resources. To rectify this, we built the first herpetofaunal microbiota database (HMicroDB; https://herpdb.com/) that integrates 11,697 microbiological samples from 337 host species (covering 23 body sites and associated with 23 host phenotypic or environmental factors), and we identified 11,084 microbial taxa by consistent annotation. The standardised analysis process, cross-dataset integration, user-friendly interface, and interactive visualisation make the HMicroDB a powerful resource for researchers to search, browse, and explore the relationships between symbiotic microbiota, hosts, and environment. This facilitates research in host-microbiota coevolution, biological conservation, and resource utilisation.

RevDate: 2025-03-05

Aguirre-Gutiérrez J, Rifai SW, Deng X, et al (2025)

Canopy functional trait variation across Earth's tropical forests.

Nature [Epub ahead of print].

Tropical forest canopies are the biosphere's most concentrated atmospheric interface for carbon, water and energy[1,2]. However, in most Earth System Models, the diverse and heterogeneous tropical forest biome is represented as a largely uniform ecosystem with either a singular or a small number of fixed canopy ecophysiological properties[3]. This situation arises, in part, from a lack of understanding about how and why the functional properties of tropical forest canopies vary geographically[4]. Here, by combining field-collected data from more than 1,800 vegetation plots and tree traits with satellite remote-sensing, terrain, climate and soil data, we predict variation across 13 morphological, structural and chemical functional traits of trees, and use this to compute and map the functional diversity of tropical forests. Our findings reveal that the tropical Americas, Africa and Asia tend to occupy different portions of the total functional trait space available across tropical forests. Tropical American forests are predicted to have 40% greater functional richness than tropical African and Asian forests. Meanwhile, African forests have the highest functional divergence-32% and 7% higher than that of tropical American and Asian forests, respectively. An uncertainty analysis highlights priority regions for further data collection, which would refine and improve these maps. Our predictions represent a ground-based and remotely enabled global analysis of how and why the functional traits of tropical forest canopies vary across space.

RevDate: 2025-03-06

Zhang J, Qian H, X Wang (2025)

An online version and some updates of R package U.Taxonstand for standardizing scientific names in plant and animal species.

Plant diversity, 47(1):166-168.

•We present 'U.Taxonstand Online', a user-friendly web application for scientific name matching of both plants and animals.•U.Taxonstand Online provides a solution for the users with limited abilities of programming and data mining.•We add several new functions to clean and format the data for R package U.Taxonstand.

RevDate: 2025-03-04
CmpDate: 2025-03-04

Chen Y, Chen S, Tao J, et al (2025)

Multi-omic stock of surface ocean microbiome built by monthly, weekly and daily sampling in Dapeng Bay, China.

Scientific data, 12(1):378.

The coastal ocean is the dynamic interface where terrestrial, atmospheric, and marine systems converge, acting as a hotspot for microbial activity, which underpins the intricate web of carbon and nitrogen cycling. Dapeng Bay, a typical semi-enclosed bay along the southern coastline of China, is strongly influenced by monsoon climates and human activities. Despite its ecological importance, long-term observations and investigations into the microbial community structure in this region are notably lacking. To address this gap, we conducted a two-year continuous sampling from May 2021 to June 2023 to explore shifts in nearshore surface microbial communities and assess the long-term effects of environmental stressors. This study presents comprehensive amplicon, metagenomic, and metatranscriptomic information. We identified 3,600 amplicon sequence variants and recovered 1,216 high-quality metagenome-assembled MAGs, representing 17 bacterial and 3 archaeal phyla. Additionally, 587 MAGs were correlated with transcriptional activity, comprising 539 bacterial and 48 archaeal populations. This dataset is anticipated to provide a multi-dimensional perspective, enhancing our understanding of the complexity, dynamics, and adaptability of microbial communities in coastal environments.

RevDate: 2025-03-05

Edwards SV, Fang B, Khost D, et al (2025)

Comparative population pangenomes reveal unexpected complexity and fitness effects of structural variants.

bioRxiv : the preprint server for biology.

Structural variants (SVs) are widespread in vertebrate genomes, yet their evolutionary dynamics remain poorly understood. Using 45 long-read de novo genome assemblies and pangenome tools, we analyze SVs within three closely related species of North American jays (Aphelocoma, scrub-jays) displaying a 60-fold range in effective population size. We find rapid evolution of genome architecture, including ~100 Mb variation in genome size driven by dynamic satellite landscapes with unexpectedly long (> 10 kb) repeat units and widespread variation in gene content, influencing gene expression. SVs exhibit slightly deleterious dynamics modulated by variant length and population size, with strong evidence of adaptive fixation only in large populations. Our results demonstrate how population size shapes the distribution of SVs and the importance of pangenomes to characterizing genomic diversity.

RevDate: 2025-03-04

Veneros J, Hansen AJ, Jantz P, et al (2025)

Analysis of changes in temperature and precipitation in South American countries and ecoregions: Comparison between reference conditions and three representative concentration pathways for 2050.

Heliyon, 11(4):e42459.

Climate change is a global concern, and its impact on environmental variables such as temperature and annual precipitation is unknown spatially in the desert, andes, and rainforest ecoregions of Peru, Ecuador, and Colombia. In this study, we conducted a general review of climate drivers for South America (SA) and explored climate data using the GCM compareR package (General Circulation Models) and average ensembles for temperature and precipitation. Our results showed that all GCMs demonstrated increases in the annual mean temperature (BIO1) and in the mean temperature of the driest quarter (BIO9) for Peru, Ecuador, and Colombia for 2050 in three RCPs (2.6, 4.5, and 8.5). Also, most of the GCMs showed increases in the annual precipitation (BIO12) and the precipitation in the driest quarter (BIO17). We conducted non-parametric tests (Kruskal-Wallis Test) to assess if the medians of temperature and precipitation in the three ecoregions are equal for both the baseline and the climate change scenarios. We rejected the null hypothesis that the medians are equal for both temperatures and precipitation in the baseline vs. 2050 RCPs (2.6, 4.5, and 8.5). A spatial analysis was conducted to visualize the variations in temperature and precipitation between the RCPs versus the baseline, and the spatial variation at the country or ecoregion level can be observed. The annual mean temperature (°C) or annual precipitation (mm) divided by its standard deviation for each ecoregion (M metric) was analyzed to see how much the average temperature or the annual precipitation is relatively large compared to the variability or dispersion of temperatures or precipitation respectively; the average temperature and the annual precipitation for the baseline and the three RCPs are relatively large and associated with the variability or dispersion of their temperatures in the Napo moist forest compared to the other ecoregions. Our study provides important insights into the potential impacts of climate change on these ecosystems. Prospects in the Napo moist forest ecoregion, where significant changes in temperature and humidity have already occurred, and new species have invaded or evolved in the western Amazon rainforest, are particularly highlighted and reflected in terms of risk mitigation, ecosystem restoration, surveillance, and monitoring.

RevDate: 2025-03-04
CmpDate: 2025-03-04

Gorné LD, Hendry AP, Pelletier F, et al (2025)

PROCEED v6.1: Phenotypic rates of change evolutionary and ecological database.

Ecology, 106(3):e70009.

Populations must continuously respond to environmental change or risk extinction. These responses can be measured as phenotypic rates of change, which allow researchers to predict their contemporary evolutionary responses. In 1999, a database of phenotypic rates of change in wild populations was compiled. Since then, researchers have used (and expanded) this database to examine the phenotypic responses as a function of the features of the study system (i.e., the population or set of populations, of a given species, that experienced a specific driver or disturbance), the measured traits, and methodological approaches. Therefore, PROCEED (Phenotypic Rates of Change Evolutionary and Ecological Database) is an ongoing compilation of rates of phenotypic change, typically calculated as Haldanes and Darwins, published in peer-reviewed literature (but also including data from theses and technical reports). Studies in this database measure the intraspecific change in quantitative (continuous or discrete) traits and report either the time elapsed from the onset of environmental novelty, or reference a historical or biological event reported in other sources (e.g., a mine opening or a well-documented biological invasion). Included studies either follow a single population through time (allochronic design) or compare two or more populations that diverged at a known time (synchronic design). Some included studies account for the total phenotypic variability in the field (i.e., phenotypic studies), while others employed common-garden or other quantitative genetic approaches to account for the heritable component of the phenotypic change (i.e., genetic studies). PROCEED includes systems in both natural and experimental conditions, provided that reproduction was not manipulated (i.e., artificial selection experiments were excluded). In the included experimental systems, the environment of the focal populations was manipulated (e.g., an herbivory exclusion experiment, where the type and load of herbivory are manipulated) but the studies did not deliberately select for trait values in the study population (e.g., the plant height). PROCEED does not include systems where the phenotypic change is presumably due to interspecific hybridization, polyploidy, or other chromosomal alterations. Here, we present the most recently updated PROCEED (Version 6.1). This new, curated version has 9263 records (n) collated from 326 studies, 1801 systems, and 428 species. The database includes records belonging to mammals (n = 686), birds (n = 1475), reptiles (n = 96), amphibians (n = 23), fishes (n = 3671), invertebrates (n = 1141, mostly arthropods), and plants (n = 2171). The maximum elapsed time between the environmental change and the sampling is 500 years but is typically less than 100 years (third quartile 89.5; median 45 years). The database also includes a set of variables describing biological and methodological aspects of the study system and measured traits, along with features of the sampling design in the primary source of information. This new version of PROCEED also includes a time series dataset comprising a subset of records included in the general dataset. These are allochronic studies with three or more sampling times throughout the entire study period. The time series dataset contains 655 time series (s)-belonging to 61 studies, from 156 systems, and 77 species-including mammals (s = 140), birds (s = 77), reptiles (s = 4), amphibians (s = 8), fishes (s = 404), and plants (s = 22). The data are released under a Creative Commons CC0 1.0 Universal Public Domain Dedication license.

RevDate: 2025-03-04
CmpDate: 2025-03-03

Dietrich SW, Ma W, Ding Y, et al (2024)

MOTHER-DB: A Database for Sharing Nonhuman Ovarian Histology Images.

IEEE/ACM transactions on computational biology and bioinformatics, 21(6):2598-2603.

The goal of the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) project is to establish a collection of nonhuman ovary histology images for multiple species as a resource for researchers and educators. An important component of sharing scientific data is the inclusion of the contextual metadata that describes the data. MOTHER extends the Ecological Metadata Language (EML) for documenting research data, leveraging its data provenance and usage license with the inclusion of metadata for ovary histology images. The design of the MOTHER metadata includes information on the donor animal, including reproductive cycle status, the slide and its preparation. MOTHER also extends the ezEML tool, called ezEML+MOTHER, for the specification of the metadata. The design of the MOTHER database (MOTHER-DB) captures the metadata about the histology images, providing a searchable resource for discovering relevant images. MOTHER also defines a curation process for the ingestion of a collection of images and its metadata, verifying the validity of the metadata before its inclusion in the MOTHER collection. A Web search provides the ability to identify relevant images based on various characteristics in the metadata itself, such as genus and species, using filters.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Jin J, Zhang R, Li J, et al (2025)

The NAE1-mediated neddylation operates as an essential post-translational modification checkpoint for effector CD8[+] T cells.

Proceedings of the National Academy of Sciences of the United States of America, 122(10):e2424061122.

Optimal activation of CD8+ T cells is crucial for immunity-mediated destruction of cancer, requiring a substantial amount of proteins involved in metabolism, proliferation, and effector function. Despite extensive studies emphasizing the role of transcriptional regulation in this process, paired transcriptomic and proteomic analyses reveal that the RNA profile is poorly correlated with protein levels. This discrepancy underscores the importance of post-translational modifications (PTMs) in controlling protein abundance during activation. However, the impact of PTMs on the CD8+ T cell protein dynamic remains underexplored. We identify that neddylation, a recently discovered PTM, is activated in response to T cell receptor (TCR) stimulation and enriched in effector CD8+ T cells from colon cancer patients. Mechanistically, we found the rate-limiting enzyme of neddylation, neural precursor cell expressed developmentally down-regulated protein 8 activating enzyme E1 (NAE1), is induced by the NFATc1, a critical transcription factor downstream of TCR signaling. Our observation revealed that genetic ablation of NAE1 significantly disturbed the proteomic landscape related to activation and mitochondrial function. As a result, CD8+ T cells lacking NAE1 exhibited severely compromised activation, proliferation, and survival, which was accompanied by impaired mitochondrial function. Consistently, deletion of NAE1 in CD8+ T cells abolished their antitumor function and promoted tumor progression. By contrast, the overexpression of NAE1 significantly improved the function of tumor-infiltrating CD8+ T cells. Overall, we uncovered neddylation, a previously underappreciated PTM, as a proteomic checkpoint for CD8+ T cell activation. Enforced expression of NAE1 offers promising therapeutic potential for boosting the antitumor CD8+ T cell responses.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Zhang J, Wang Q, Gao H, et al (2025)

Ecological suitability distribution of hop based on MaxEnt modeling.

Environmental monitoring and assessment, 197(4):346.

Hop has been widely utilized in both food production and traditional medicine owing to their distinctive flavor and various pharmacological effects. In recent years, the increasing demand for hop has led to their cultivation in many regions across China. However, hops require specific ecological conditions, including climate, soil, precipitation, and temperature, which significantly affect their distribution and growth. To facilitate the standardization and scientific cultivation of hops, it is essential to clarify the distribution of their ecological suitability. In this study, we collected data from 95 hops distribution locations and 115 ecological factors to determine the areas suitable for hops cultivation using the Maximum Entropy (MaxEnt) model and Geographic Information System (GIS). The highly suitable areas are primarily located in the northwestern part of the Xinjiang Uygur Autonomous Region, the eastern part of Gansu Province, Shaanxi Province, the southwestern part of Shanxi Province, and parts of Ningxia Hui Autonomous Region and Yunnan Province. These findings provide valuable guidance for the scientific cultivation of hops, ensuring the efficient use of ecological resources and promoting sustainable cultivation practices.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Eisaguirre JM, Lohman MG, Frye GG, et al (2025)

Estimating Spatially Explicit Survival and Mortality Risk From Telemetry Data With Thinned Point Process Models.

Ecology letters, 28(3):e70092.

Mortality risk for animals often varies spatially and can be linked to how animals use landscapes. While numerous studies collect telemetry data on animals, the focus is typically on the period when animals are alive, even though there is important information that could be gleaned about mortality risk. We introduce a thinned spatial point process (SPP) modelling framework that couples relative abundance and space use with a mortality process to formally treat the occurrence of mortality events across the landscape as a spatial process. We show how this model can be embedded in a hierarchical statistical framework and fit to telemetry data to make inferences about how spatial covariates drive both space use and mortality risk. We apply the method to two data sets to study the effects of roads and habitat on spatially explicit mortality risk: (1) VHF telemetry data collected for willow ptarmigan in Alaska, and (2) hourly GPS telemetry data collected for black bears in Colorado. These case studies demonstrate the applicability of this method for different species and data types, making it broadly useful in enabling inferences about the mechanisms influencing animal survival and spatial population processes while formally treating survival as a spatial process, especially as the development and implementation of joint analyses continue to progress.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Fuzessy L, MA Pizo (2025)

NeoFrugivory: A comprehensive database for frugivory interactions and functional traits in the Neotropics.

Ecology, 106(3):e70049.

Frugivory plays a crucial role in shaping Neotropical ecosystems, influencing plant dispersal, community dynamics, and ecosystem function. Despite its ecological significance, a systematic understanding of frugivore-fruit interactions spanning the entire Neotropical realm has been lacking. Therefore, we compiled the NeoFrugivory database, which addresses this gap by synthesizing data from a wide range of sources, including peer-reviewed literature, field studies, and existing databases. NeoFrugivory represents a comprehensive compilation of 10,175 unique frugivory interactions across the Neotropical region, the most diverse in terms of vertebrate frugivores, and consolidates information from 419 studies spanning from 1967 to 2023. It includes 2375 plant species and 758 terrestrial vertebrate species. In addition to documenting frugivory interactions, NeoFrugivory includes information on functional traits for both plants and vertebrates, such as body mass, diet, fruit morphology, and seed characteristics. The database encompasses diverse terrestrial vertebrate taxa, including species belonging to taxonomic groups such as Primates, Chiroptera, Birds, Artiodactyla/Perissodactyla, Reptilia, Carnivora, Marsupialia, and Rodentia. By providing a centralized repository of frugivory interactions, NeoFrugivory facilitates comprehensive analyses of ecological networks, evolutionary patterns, and ecosystem dynamics across the Neotropics, and NeoFrugivory provides a unique resource for researchers interested in exploring the intricate dynamics of plant-animal frugivory interactions in the Neotropics. This database enables researchers to explore the ecological roles of different frugivore taxa, identify keystone species, assess the resilience of mutualistic networks, and evaluate the impacts of environmental change on fruit-frugivore interactions. Furthermore, NeoFrugivory serves as a valuable resource for conservation practitioners, supporting the design and implementation of targeted conservation strategies aimed at preserving biodiversity and ecosystem function in the Neotropical region. Overall, NeoFrugivory represents a significant advancement in our understanding of frugivory dynamics in the Neotropics and provides a foundation for future research and conservation efforts in this ecologically diverse and critically important region. There are no copyright restrictions on the data; this paper should be cited when data are used in publications.

RevDate: 2025-03-03

Bai D, Chen T, Xun J, et al (2025)

EasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research.

iMeta, 4(1):e70001.

Shotgun metagenomics has become a pivotal technology in microbiome research, enabling in-depth analysis of microbial communities at both the high-resolution taxonomic and functional levels. This approach provides valuable insights of microbial diversity, interactions, and their roles in health and disease. However, the complexity of data processing and the need for reproducibility pose significant challenges to researchers. To address these challenges, we developed EasyMetagenome, a user-friendly pipeline that supports multiple analysis methods, including quality control and host removal, read-based, assembly-based, and binning, along with advanced genome analysis. The pipeline also features customizable settings, comprehensive data visualizations, and detailed parameter explanations, ensuring its adaptability across a wide range of data scenarios. Looking forward, we aim to refine the pipeline by addressing host contamination issues, optimizing workflows for third-generation sequencing data, and integrating emerging technologies like deep learning and network analysis, to further enhance microbiome insights and data accuracy. EasyMetageonome is freely available at https://github.com/YongxinLiu/EasyMetagenome.

RevDate: 2025-03-01

Munteanu A, Bortolini M, Feltracco M, et al (2025)

Contamination by benzothiazoles in the Arctic: first evidence in the seawater of the Greenland Sea.

Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(25)00316-1 [Epub ahead of print].

Benzothiazoles (BTHs), used in industrial chemistry, consumer products, and pharmaceuticals, are emerging contaminants due to their environmental presence and toxicological risks to aquatic life and human health. However, their environmental fate in seawater remains poorly investigated. This study reports for the first time the occurrence and distribution of six BTHs in the sub-Arctic seawater of the Greenland Sea. Using solid-phase extraction combined with ultrahigh performance liquid chromatography tandem mass spectrometry, total BTHs were detected at concentrations ranging from 0.2 to 1043 ng L[-1]. Benzothiazole, 2-hydroxy-benzothiazole, 2-methylthio-benzothiazole, and 2-methyl-benzothiazole exhibited higher mean concentrations (355 ± 335, 114 ± 80, 34 ± 7, 15 ± 8 ng L[-1], respectively) compared to 2-thiocyanomethylthio-benzothiazole (0.5 ± 0.9 ng L[-1]) and 2-amino-benzothiazole (0.3 ± 0.2 ng L[-1]). Local emissions and both short- and long-range transport may account for BTHs presence in the Greenland Sea. The spatial distribution of BTHs along the 75° N transect and in the water column appears influenced by the Greenland Sea Gyre circulation and deep convection processes. Total BTHs distribution showed no significant differences between superficial and water column concentrations or between the outermost and innermost transect zones, as determined by the Mann-Whitney test, although concentrations were generally higher in the zone influenced by the Norwegian Atlantic Current. The ecological risks of BTHs, assessed using the risk quotient methodology, indicate a low threat to aquatic life. This research underscores the need for monitoring BTHs in the Arctic to understand their sources, transport, and environmental fate, providing a foundation for future studies.

RevDate: 2025-03-01

Wang H, Liu C, Li L, et al (2025)

High-precision inversion of urban river water quality via integration of riparian spatial structures and river spectral signatures.

Water research, 278:123378 pii:S0043-1354(25)00291-X [Epub ahead of print].

With the ongoing process of urbanization, it poses challenges to the monitoring of water quality in urban rivers. The mainstream methods for remote sensing water quality monitoring rely on the optical characteristics of water to achieve water quality inversion, while overlooking the correlation between water quality and riparian zones. The spatial arrangement and scale fluctuation of the riparian zones exert a substantial influence on water quality as it serves as an intermediary region connecting riverine and terrestrial ecosystems. Therefore, this study firstly employed unmanned aerial vehicle (UAV)-borne multispectral remote sensing technology to capture the subtle variations in urban river water quality and obtain detailed spatial information of the riparian zone. The Liang-Kleeman information flow was subsequently employed to quantitatively assess the causal responses of the spatial composition of riparian zone to water quality parameters across various spatial scales. Finally, we developed a hierarchical ensemble learning model for water quality assessment by integrating the spatial characteristics of the riparian zone with the spectral properties of the water body. The result demonstrates that this model accurately delineated water quality grades for three key parameters: ammonia nitrogen (NH3N), chemical oxygen demand (COD), and total phosphorus (TP), achieving accuracies of 94.87 %, 92.31 %, and 89.74 %, respectively. Our study presents a water quality inversion method for urban rivers, which holds significant guidance for the monitoring and management of urban rivers and contributes to further promoting the sustainable development of cities.

RevDate: 2025-03-03

Slack SD, Esquinca E, Arehart CH, et al (2025)

Prediction and Characterization of Genetically Regulated Expression of Target Tissues in Asthma.

medRxiv : the preprint server for health sciences.

BACKGROUND: Genetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.

OBJECTIVE: To create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study (TWAS) to discover candidate asthma genes.

METHODS: We developed and validated gene expression prediction databases for unstimulated CD4+ T cells (CD4+T) and nasal epithelium using an elastic net framework. Combining these with existing prediction databases (N=51), we performed TWAS of 9,284 individuals of African-ancestry to identify tissue-specific and cross-tissue candidate genes for asthma. For detailed Methods, please see the Supplemental Methods.

RESULTS: Novel databases for CD4+T and nasal epithelial gene expression prediction contain 8,351 and 10,296 genes, respectively, including four asthma loci (SCGB1A1, MUC5AC, ZNF366, LTC4S) not predictable with existing public databases. Prediction performance was comparable to existing databases and was most accurate for populations sharing ancestry with the training set (e.g. African ancestry). From TWAS, we identified 17 candidate causal asthma genes (adjusted P<0.1), including genes with tissue-specific (IL33 in nasal epithelium) and cross-tissue (CCNC and FBXW7) effects.

CONCLUSIONS: Expression of IL33, CCNC, and FBXW7 may affect asthma risk in African ancestry populations by mediating inflammatory responses. The addition of CD4+T and nasal epithelium prediction databases to the public sphere will improve ancestry representation and power to detect novel gene-trait associations from TWAS.

RevDate: 2025-03-02
CmpDate: 2025-03-02

Kim SY, Cheon S, Park C, et al (2025)

Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment.

Scientific reports, 15(1):7283.

Marine copepod communities play crucial roles in ocean ecosystems. However, their accurate assessment remains challenging due to taxonomic complexities. This study combines morphological and DNA metabarcoding approaches to evaluate copepod diversity and community structure in the northern East China Sea. Zooplankton samples were collected from 10 stations along a coastal-offshore gradient in August 2019. Morphological analysis identified 34 species from 25 genera, while DNA metabarcoding detected 31 species from 20 genera. Both methods revealed distinct coastal and offshore assemblages, with Paracalanus parvus s.l. as the dominant species across all stations. A significant positive correlation was found between morphology-based individual counts and metabarcoding sequence reads (Spearman's Rho = 0.58, p < 0.001), improving at the genus level (Rho = 0.70, p < 0.001). Redundancy analysis revealed that salinity, temperature, and phytoplankton density significantly influenced copepod distribution. Although both approaches captured similar broad-scale patterns, they provided complementary insights into community structure. Morphological identification was more effective for detecting Cyclopoida diversity, whereas DNA metabarcoding had greater sensitivity for specific Calanoid species. This study underscores the value of integrating traditional and molecular methods for marine biodiversity assessment, especially in the context of global environmental changes.

RevDate: 2025-02-28
CmpDate: 2025-02-28

Post AK, AD Richardson (2025)

Predicting end-of-season timing across diverse North American grasslands.

Oecologia, 207(3):44.

Climate change is altering the timing of seasonal vegetation cycles (phenology), with cascading consequences on larger ecosystem processes. Therefore, understanding the drivers of vegetation phenology is critical to predicting ecological impacts of climate change. While numerous phenology models exist to predict the timing of the start of the growing season (SOS), there are fewer end-of-season (EOS) models, and most perform poorly in grasslands, since they were made for forests. Our objective was to develop an improved EOS grassland phenology model. We used repeat digital imagery from the PhenoCam Network to extract EOS dates for 44 diverse North American grassland sites (212 site-years) that we fit to 20 new and 3 existing EOS models. All new EOS models (RMSE = 22-33 days between observed and predicted dates) performed substantially better than existing ones (RMSE = 43-46 days). The top model predicted EOS after surpassing a threshold of either accumulated cold temperatures or dryness, but only after a certain number of days following SOS. Including SOS date improved all model fits, indicating a strong correlation between start- and end-of-season timing. Model performance was further improved by independently optimizing parameters for six distinct climate regions (RMSE = 4-19 days). While the best model varied slightly by region, most included similar drivers as the top all-sites model. Thus, across diverse grassland sites, EOS is influenced by both weather (temperature, moisture) and SOS timing. Incorporating these new EOS models into Earth System Models should improve predictions of grassland dynamics and associated ecosystem processes.

RevDate: 2025-02-28
CmpDate: 2025-02-28

Otay EN, Uzun P, A Üstün (2025)

Multifactorial risk mapping of oil spill accidents for emergency response areas at regional, national and international scales.

Marine pollution bulletin, 213:117670.

Quantification and mapping of oil spill risk are essential for emergency response and mitigation of marine accidents. Large-scale risk management involves geographical identification of hazards and sensitivities in coastal and offshore regions. In this study, a multifactorial oil spill risk model was developed on a national scale by determining the frequency (probability) and sensitivity (severity) of marine and coastal accidents. Seven accident frequency and 51 sensitivity factors were investigated within the Turkish Emergency Response Area (TERA) of 660,908 km[2]. Hydrographical, meteorological, oceanographical, and maritime conditions were analyzed to calculate accident frequency. The sensitive areas were mapped using the geographical distribution of ecologic, social, and economic assets. Using data analytics, digital maps of accident frequency, sensitivity and risk were produced in a GIS grid of 21,410 cells with 3NM resolution. Accident hotspots were identified from scalable frequency maps showing regions of high accident probability. Sensitivity factors were analyzed from environmental, social, and economic vulnerabilities. Using their geographic distribution, a sensitivity map was generated and hotspots were identified. Frequency and sensitivity indices were combined to obtain the grid-based high-resolution oil spill risk map on a scalable GIS platform. High-risk areas were identified for future research on oil spill simulations and emergency response plans. The methodology may help scientists and environmental experts develop regional, national, and global risk assessment tools. The outcomes within the TERA may serve as planning and decision support tools for lawmakers, environmental experts, and oil spill response professionals to manage oil pollution risk across the TERA.

RevDate: 2025-02-27

Mendoza JN, Prūse B, Ciriaco A, et al (2025)

Correction: Fishery and ecology-related knowledge about plants among fishing communities along Laguna Lake, Philippines.

Journal of ethnobiology and ethnomedicine, 21(1):11 pii:10.1186/s13002-025-00763-7.

RevDate: 2025-02-27
CmpDate: 2025-02-27

Chen Z, Baeza JA, Chen C, et al (2025)

A genome-based phylogeny for Mollusca is concordant with fossils and morphology.

Science (New York, N.Y.), 387(6737):1001-1007.

Extreme morphological disparity within Mollusca has long confounded efforts to reconstruct a stable backbone phylogeny for the phylum. Familiar molluscan groups-gastropods, bivalves, and cephalopods-each represent a diverse radiation with myriad morphological, ecological, and behavioral adaptations. The phylum further encompasses many more unfamiliar experiments in animal body-plan evolution. In this work, we reconstructed the phylogeny for living Mollusca on the basis of metazoan BUSCO (Benchmarking Universal Single-Copy Orthologs) genes extracted from 77 (13 new) genomes, including multiple members of all eight classes with two high-quality genome assemblies for monoplacophorans. Our analyses confirm a phylogeny proposed from morphology and show widespread genomic variation. The flexibility of the molluscan genome likely explains both historic challenges with their genomes and their evolutionary success.

RevDate: 2025-02-27

Boyes D, Holland PWH, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2024)

The genome sequence of the Olive Crescent, Trisateles emortualis (Denis & Schiffermüller, 1775).

Wellcome open research, 9:178.

We present a genome assembly from an individual male Trisateles emortualis (the Olive Crescent; Arthropoda; Insecta; Lepidoptera; Noctuidae). The genome sequence is 565.5 megabases in span. Most of the assembly is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.01 kilobases in length. Gene annotation of this assembly on Ensembl identified 13,176 protein coding genes.

RevDate: 2025-02-27

McGregor AP, Sumner-Rooney L, Burkmar R, et al (2024)

The genome sequence of the silver stretch spider, Tetragnatha montana (Simon, 1874) (Araneae: Tetragnathidae).

Wellcome open research, 9:288.

We present a genome assembly from an individual female Tetragnatha montana (the silver stretch spider; Arthropoda; Arachnida; Araneae; Tetragnathidae). The genome sequence is 784.7 megabases in span. Most of the assembly is scaffolded into 13 chromosomal pseudomolecules, including the X sex chromosome. The mitochondrial genome has also been assembled and is 15.49 kilobases in length.

RevDate: 2025-02-27

Brodie JF, Mohd-Azlan J, Chen C, et al (2025)

Reply to: Causal claims, causal assumptions and protected area impact.

Nature, 638(8052):E42-E44.

RevDate: 2025-02-26
CmpDate: 2025-02-26

Dos Santos AP, da Silva Junior AX, Nery LM, et al (2025)

Random forest algorithm applied to model soil textural classification in a river basin.

Environmental monitoring and assessment, 197(3):330.

The proportion of sand, silt, and clay defines soil texture, significantly influencing agricultural and ecological practices. However, conventional classification methods are costly and limit evaluation frequency and scope. In contrast, machine learning algorithms, such as random forest, provide a more efficient solution for accurate soil texture predictions. This study aims to address this knowledge gap by integrating geoprocessing, precision agriculture, and machine learning to classify soil texture in the Sorocabuçu River Basin (SRB), predominantly agricultural. Twenty-seven sampling points were selected based on topography and land use, ensuring the representativeness of area variations and the reliability of classification. Granulometric analysis was performed using the pipette method to separate sand, silt, and clay. The data were spatially interpolated using geographic information system (GIS) techniques. Soil texture was classified using the random forest algorithm, trained on 70% of the data and tested on 30%, evaluating overall accuracy, kappa index, sensitivity, and specificity. Fifty trees (ntree) and four features per split (ntry) were used, considering the variability of parameters to ensure satisfactory results. The varied spatial distribution of clay, along with high levels of sand and silt, suggests greater vulnerability to erosion without conservation management practices. The random forest model achieved an out-of-bag (OOB) error of 2.78%, a kappa index of 0.88, and an overall accuracy of 0.92, demonstrating excellent predictive capacity. The variability of sand was essential, but the Sandy Clay Loam (SCL) class posed challenges due to its intermediate characteristics between sand and clay, resulting in classification overlaps. This integrated methodology enhances understanding of soil structure in the SRB and provides a foundation for future research and practical applications, supporting food security and environmental sustainability. The model can be applied in other locations and agricultural contexts. In homogeneous soils, the method can be improved through the application of machine learning algorithms to enhance accuracy.

RevDate: 2025-02-26
CmpDate: 2025-02-26

Kim DH, Y Kim (2025)

Factors Associated With Habitual Drug Use Among Adolescents: A Secondary Data Analysis.

Asian nursing research, 19(1):78-85.

PURPOSE: Drug use during adolescence can have lasting health consequences, and understanding the factors that contribute to drug use is essential for effective prevention. This study aimed to identify the factors influencing habitual drug use among South Korean adolescents. It employed Bronfenbrenner's ecological model to examine personal, familial, school-related, and social factors.

METHODS: The study analyzed data from the 19th Korea Youth Risk Behavior Survey for 41,928 students from 1st grade of middle school to 3rd grade of high school. Data analysis involved cross-tabulation and logistic regression for complex samples.

RESULTS: The prevalence of habitual drug use was 1.4%. Significant personal factors included smoking [adjusted odds ratio (aOR) = 2.61], alcohol consumption (aOR = 1.55), sexual intercourse (aOR = 1.45), smartphone overdependence (high-risk group aOR = 2.04, potential risk group aOR = 1.31), suicidal ideation (aOR = 2.66), depressed mood (aOR = 1.87), and loneliness (aOR = 1.88). Significant family factors included non-cohabitation with family (aOR = 1.86) and both parents being foreign-born (aOR = 3.36). Experience of violence (aOR = 2.95) was also a significant factor.

CONCLUSION: This study highlights the need for an integrated approach to prevent adolescent drug use by addressing adolescents' personal behaviors, family dynamics, and school environments. Prevention programs should account for the influence of multiple systems on habitual drug use. School and community nurses should adopt a comprehensive, multi-dimensional strategy that involves families, schools, and communities to prevent adolescent drug use. Additionally, there is a need to develop family-centered and culturally sensitive drug prevention programs for adolescents.

RevDate: 2025-02-27
CmpDate: 2025-02-27

Daich Varela M, Sanders Villa A, Pontikos N, et al (2025)

Digital health and wearable devices for retinal disease monitoring.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 263(2):279-289.

Digital health is wielding a growing influence across all areas of healthcare, encompassing various facets such as telemedicine, artificial intelligence (AI), and electronic healthcare records. In Ophthalmology, digital health innovations can be broadly divided into four categories: (i) self-monitoring home devices and apps, (ii) virtual and augmented reality visual aids, (iii) AI software, and (iv) wearables. Wearable devices can work in the background, collecting large amounts of objective data while we do our day-to-day activities, which may be ecologically more valid and meaningful to patients than that acquired in traditional hospital settings. They can be a watch, wristband, piece of clothing, glasses, cane, smartphone in our pocket, earphones, or any other device with a sensor that we carry with us. Focusing on retinal diseases, a key challenge in developing novel therapeutics has been to prove a meaningful benefit in patients' lives and the creation of objective patient-centred endpoints in clinical trials. In this review, we will discuss wearable devices collecting different aspects of visual behaviour, visual field, central vision, and functional vision, as well as their potential implementation as outcome measures in research/clinical trial settings. The healthcare landscape is facing a paradigm shift. Clinicians have a key role of collaborating with the development and fine-tuning of digital health innovations, as well as identifying opportunities where they can be leveraged to enhance our understanding of retinal diseases and improve patient outcomes.

RevDate: 2025-02-26

Grieco F, Parisi S, Simmenroth A, et al (2024)

Planetary health education in undergraduate medical education in Germany: results from structured interviews and an online survey within the national PlanetMedEd Project.

Frontiers in medicine, 11:1507515.

BACKGROUND: In light of the accumulating evidence, awareness and urgency to act upon the three planetary crises - climate change, biodiversity loss, and pollution - the concept of Planetary Health underscores their profound implications for health and promotes actionable solutions to advance both wellbeing and ecological sustainability. Despite (inter)national calls to integrate Planetary Health into health workers' curricula, the current status of Planetary Health Education in undergraduate medical education in Germany is unclear. This study therefore aimed (a) to assess the current implementation of Planetary Health in undergraduate medical education in Germany and (b) to explore its characteristics as a foundation to develop evidence-informed recommendations for mainstreaming Planetary Health Education in medical schools in Germany.

METHODS: The study comprised structured interviews followed by an online survey, both targeting all 39 medical schools in Germany. In 2021, structured interviews were conducted with students, educators and deanery staff at medical schools. In 2023, educators and deanery staff participated in an online survey based on the findings from the interviews.

FINDINGS: In total, 80% of the 39 medical schools participated in the interviews, while 90% took part in the online survey. Based on integrated findings, 35 medical schools (90%) offered Planetary Health Education, with a median of two educational activities, including both stand-alone courses and lectures integrated into other courses. Despite an overall increase since winter semester 2021/2022, most educational activities were electives and not part of the mandatory curriculum. Innovative educational approaches and learning objectives differed significantly between mandatory and elective formats. In contrast to mandatory educational activities, student involvement was reported for the majority of electives and was significantly associated with transformative learning objectives.

INTERPRETATION: Despite a steady rise in teaching activities, mandatory Planetary Health Education remains insufficiently integrated into undergraduate medical education in Germany. Key criteria defining high-quality Planetary Health Education, such as innovative educational approaches, practical skills, and transformative learning, were primarily reflected in electives, that reach only a minority of students. To adequately equip the future healthcare workforce, the current barriers to successfully integrating Planetary Health into medical education must be systematically addressed and overcome.

RevDate: 2025-02-26

Boyes D, Lees DC, Coates BS, et al (2025)

The genome sequence of the European Corn Borer, Ostrinia nubilalis Hübner, 1796.

Wellcome open research, 10:12.

We present a genome assembly from an individual female specimen of Ostrinia nubilalis (European Corn Borer; Arthropoda; Insecta; Lepidoptera; Crambidae). The genome sequence has a total length of 495.50 megabases. Most of the assembly (99.87%) is scaffolded into 32 chromosomal pseudomolecules, including the Z and W sex chromosomes. The mitochondrial genome has also been assembled and is 15.24 kilobases in length. Gene annotation of this assembly on Ensembl identified 16,780 protein-coding genes.

RevDate: 2025-02-26

Boyes D, Lewis OT, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2025)

The genome sequence of Red Underwing, Catocala nupta Linnaeus, 1767.

Wellcome open research, 10:36.

We present a genome assembly from an individual female specimen of Catocala nupta (Red Underwing; Arthropoda; Insecta; Lepidoptera; Erebidae). The genome sequence has a total length of 930.40 megabases. Most of the assembly (99.82%) is scaffolded into 32 chromosomal pseudomolecules, including the W and Z sex chromosomes. The mitochondrial genome has also been assembled and is 15.57 kilobases in length. Gene annotation of this assembly on Ensembl identified 13,889 protein-coding genes.

RevDate: 2025-02-26
CmpDate: 2025-02-26

Brzhozovskiy AG, Semenov SD, Zherebker AY, et al (2025)

Hepatoprotective Activity of Nature-Derived Polyphenols Studied by Mass Spectrometry Based Multi-OMICS Approach.

International journal of molecular sciences, 26(4): pii:ijms26041604.

The aim of this study was to examine the hepatoprotective activity of multicomponent mixtures of natural origin in the BALB/C mouse model, with subacute liver failure (SALF) induced by the administration of toxin carbon tetrachloride (CCl4). The hepatoprotective activity of activated hydrolytic lignin (BP-Cx-1), humic acid peloids (HA), and isoflavones from kudzu Pueraria lobata roots (IFL) was evaluated using mass spectrometry (MS)-based omics technologies. Our MS-based approach revealed new insights into the molecular mechanisms of the hepatoprotective activity of multicomponent mixtures of natural origin. Significant differences were observed in the proteome and metabolome profiles of the urine and liver of BALB/c mice with SALF between a control group with CCl4 administration, intact controls, and groups receiving potential hepatoprotectors of natural origin (BP-Cx-1, HA, IFL). Proteomic and metabolomics analyses demonstrated that among the hepatoprotectors, IFL possessed the highest hepatoprotective potential, which correlated well with the relative effectiveness of the drugs recorded during in vitro studies. These results correlate with the relative effectiveness of the drugs recorded in previous in vitro and in vivo studies. The leading IFL activity may be attributed to a higher content of active polyphenolic components compared to heterogeneous HA and BP-Cx-1. Enrichment with active components by fractionation is a direction that can be explored for developing hepatoprotective agents based on natural complex polyphenols.

RevDate: 2025-02-25

Medeiros W, Kralova S, Oliveira V, et al (2025)

Antarctic bacterial natural products: from genomic insights to drug discovery.

Natural product reports [Epub ahead of print].

Covering: up to the end of 2024Microbial life dominates the extreme continent Antarctica, playing a pivotal role in ecosystem functioning and serving as a reservoir of specialized metabolites known as natural products (NPs). NPs not only contribute to microbial adaptation to harsh conditions but also modulate microbial community structure. Long-term isolation and environmental pressures have shaped the genomes of Antarctic bacteria, suggesting that they also encode unique NPs. Since NPs are also an important source of drugs, we argue that investigating Antarctic bacterial NPs is essential not only for understanding their ecological role and evolution, but also for discovering new chemical structures, biosynthetic mechanisms, and potential new drugs. Yet, despite advances in omics technologies and increased scientific activities in Antarctica, relatively few new bacterial NPs have been discovered. The lack of systematic research activities focused on the exploration of Antarctic bacteria and their NPs constitutes a big problem considering the climate change issue, to which ecosystems in polar regions are the most sensitive areas on the Earth. Here, we highlight the currently available data on Antarctic bacteria, their biosynthetic potential, and the successful NP discoveries, while addressing the challenges in NP research and advocating for systematic, collaborative efforts aligned with the Antarctic Treaty System and the Antarctic Conservation Biogeographic Regions.

RevDate: 2025-02-25

Huang J, Bibri SE, P Keel (2025)

Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin.

Environmental science and ecotechnology, 24:100526.

Rapid urbanization, alongside escalating resource depletion and ecological degradation, underscores the critical need for innovative urban development solutions. In response, sustainable smart cities are increasingly turning to cutting-edge technologies-such as Generative Artificial Intelligence (GenAI), Foundation Models (FMs), and Urban Digital Twin (UDT) frameworks-to transform urban planning and design practices. These transformative tools provide advanced capabilities to analyze complex urban systems, optimize resource management, and enable evidence-based decision-making. Despite recent progress, research on integrating GenAI and FMs into UDT frameworks remains scant, leaving gaps in our ability to capture complex urban flows and multimodal dynamics essential to achieving environmental sustainability goals. Moreover, the lack of a robust theoretical foundation and real-world operationalization of these tools hampers comprehensive modeling and practical adoption. This study introduces a pioneering Large Flow Model (LFM), grounded in a robust foundational framework and designed with GenAI capabilities. It is specifically tailored for integration into UDT systems to enhance predictive analytics, adaptive learning, and complex data management functionalities. To validate its applicability and relevance, the Blue City Project in Lausanne City is examined as a case study, showcasing the ability of the LFM to effectively model and analyze urban flows-namely mobility, goods, energy, waste, materials, and biodiversity-critical to advancing environmental sustainability. This study highlights how the LFM addresses the spatial challenges inherent in current UDT frameworks. The LFM demonstrates its novelty in comprehensive urban modeling and analysis by completing impartial city data, estimating flow data in new locations, predicting the evolution of flow data, and offering a holistic understanding of urban dynamics and their interconnections. The model enhances decision-making processes, supports evidence-based planning and design, fosters integrated development strategies, and enables the development of more efficient, resilient, and sustainable urban environments. This research advances both the theoretical and practical dimensions of AI-driven, environmentally sustainable urban development by operationalizing GenAI and FMs within UDT frameworks. It provides sophisticated tools and valuable insights for urban planners, designers, policymakers, and researchers to address the complexities of modern cities and accelerate the transition towards sustainable urban futures.

RevDate: 2025-02-25

Campbell IH, Needham N, Grossi H, et al (2025)

A pilot study of a ketogenic diet in bipolar disorder: clinical, metabolic and magnetic resonance spectroscopy findings.

BJPsych open, 11(2):e34 pii:S205647242400841X.

BACKGROUND: Preliminary evidence suggests that a ketogenic diet may be effective for bipolar disorder.

AIMS: To assess the impact of a ketogenic diet in bipolar disorder on clinical, metabolic and magnetic resonance spectroscopy outcomes.

METHOD: Euthymic individuals with bipolar disorder (N = 27) were recruited to a 6- to 8-week single-arm open pilot study of a modified ketogenic diet. Clinical, metabolic and MRS measures were assessed before and after the intervention.

RESULTS: Of 27 recruited participants, 26 began and 20 completed the ketogenic diet. For participants completing the intervention, mean body weight fell by 4.2 kg (P < 0.001), mean body mass index fell by 1.5 kg/m[2] (P < 0.001) and mean systolic blood pressure fell by 7.4 mmHg (P < 0.041). The euthymic participants had average baseline and follow-up assessments consistent with them being in the euthymic range with no statistically significant changes in Affective Lability Scale-18, Beck Depression Inventory and Young Mania Rating Scale. In participants providing reliable daily ecological momentary assessment data (n = 14), there was a positive correlation between daily ketone levels and self-rated mood (r = 0.21, P < 0.001) and energy (r = 0.19 P < 0.001), and an inverse correlation between ketone levels and both impulsivity (r = -0.30, P < 0.001) and anxiety (r = -0.19, P < 0.001). From the MRS measurements, brain glutamate plus glutamine concentration decreased by 11.6% in the anterior cingulate cortex (P = 0.025) and fell by 13.6% in the posterior cingulate cortex (P = <0.001).

CONCLUSIONS: These findings suggest that a ketogenic diet may be clinically useful in bipolar disorder, for both mental health and metabolic outcomes. Replication and randomised controlled trials are now warranted.

RevDate: 2025-02-25
CmpDate: 2025-02-25

Cheng Z, He Y, Wang N, et al (2025)

Uncovering soil amendment-induced genomic and functional divergence in soybean rhizosphere microbiomes during cadmium-contaminated soil remediation: Novel insights from field multi-omics.

Environmental pollution (Barking, Essex : 1987), 368:125787.

Soil amendments exhibit great potential in reducing cadmium (Cd) bioavailability and its accumulation in crop grains, but their practical implications on microbial characteristics (genomic traits and ecological functions) remain unclear. The objective of this study was to combine metagenomics and metatranscriptomics to track the dynamics of bacterial and viral communities in the soybean rhizosphere during the remediation of Cd-contaminated soil using a commercial Mg-Ca-Si conditioner (CMC), applied at low and high (975 kg ha[-1] and 1950 kg ha[-1]) rates under field conditions. Application of CMC increased the average size and decreased the guanine-cytosine (GC) content of microbial genomes, which were strongly shaped by soil pH and available Cd (ACd). Gene and transcript abundances analysis indicated that CMC promoted the enrichment of Alphaproteobacterial metagenome-assembled genomes (MAGs) carrying czcC gene encoding Cd efflux and dsbB gene encoding disulfide bond oxidoreductase. These genes are closely related to Cd resistance and exhibited notable (p < 0.05) increased expression in CMC-treated soils. Additionally, low and high CMC addition significantly increased viral alpha diversity by 5.7% and 9.6%, and viral activity by 3.3% and 7.8%, respectively, in comparison to the control. Temperate viruses were predicted as the major group (64%) and actively linked to the dominant host, and CMC amendment increased host metabolism and adaptability by enhancing (p < 0.05) the abundance and transcriptional activity of virus-encoded auxiliary metabolic genes (AMGs) involved in heavy metal resistance (ABC transport), sulfur cycling (cysH), and host metabolism (galE and queD) through "piggyback-the-winner" strategy. Structural equation modeling further revealed that CMC application influences Cd accumulation in soybean grains through its direct and indirect effects on soil properties and rhizosphere microbiomes, and highlighted the potential role of rhizosphere viruses in agricultural soil remediation.

RevDate: 2025-02-25
CmpDate: 2025-02-25

Grettenberger C, Gold DA, CT Brown (2025)

Distribution of early-branching Cyanobacteriia and the potential habitats that gave rise to the earliest oxygenic phototrophs.

mSphere, 10(2):e0101324.

The evolution of oxygenic photosynthesis in the Cyanobacteria was one of the most transformative events in Earth history, eventually leading to the oxygenation of Earth's atmosphere. However, it is difficult to understand how the earliest Cyanobacteria functioned or evolved on early Earth in part because we do not understand their ecology, including the environments in which they lived. Here, we use a cutting-edge bioinformatics tool to survey nearly 500,000 metagenomes for relatives of the taxa that likely bookended the evolution of oxygenic photosynthesis to identify the modern environments in which these organisms live. Ancestral state reconstruction suggests that the common ancestors of these organisms lived in terrestrial (soil and/or freshwater) environments. This restricted distribution may have increased the lag between the evolution of oxygenic photosynthesis and the oxygenation of Earth's atmosphere.IMPORTANCECyanobacteria generate oxygen as part of their metabolism and are responsible for the rise of oxygen in Earth's atmosphere over two billion years ago. However, we do not know how long this process may have taken. To help constrain how long this process would have taken, it is necessary to understand where the earliest Cyanobacteria may have lived. Here, we use a cutting-edge bioinformatics tool called branch water to examine the environments where modern Cyanobacteria and their relatives live to constrain those inhabited by the earliest Cyanobacteria. We find that these species likely lived in non-marine environments. This indicates that the rise of oxygen may have taken longer than previously believed.

RevDate: 2025-02-25
CmpDate: 2025-02-25

Han S, W Hogue (2025)

Assessing Human Influence and Vegetative Dune Dynamics on Barrier Islands via Satellite Raster Classification.

Environmental management, 75(3):524-537.

Barrier islands support ecological diversity and offshore ecosystems and provide critical protection to coastal communities. Climate change has intensified the frequency and severity of hurricanes affecting these islands, leading to ongoing erosion. The primary goal of this study was to explore the relationship between human intervention such as development and construction and the vegetative dune systems on Gulf Coast barrier islands in Alabama and Mississippi, USA. This research employed two decades of satellite images of three neighboring barrier islands and employed GIS raster classification to track changes in the vegetative dune system in terms of: (1) dune coverage (surface area of the vegetation), (2) vegetative maturity (vegetation type), and (3) stability (fluctuations in the vegetative coverage over time). Time series and trend analyses were used to compare the results for three neighboring islands. The findings show that Dauphin Island, which features both commercial facilities and vacation homes, exhibited a decrease in total area over time, and had the lowest percentage of vegetative dune coverage and highest level of vegetative fluctuation. In contrast, Petit Bois and Horn Islands, which remain untouched by human activity, displayed significantly higher levels of vegetative maturity and coverage and comparatively less fluctuation. This research provides a foundation for those advocating for dune restoration strategies, development limitations, and conservation regulations as nature-based infrastructure solutions to combat erosion on barrier islands and serves as a point of entry for future inquiries in the field of environmental management.

RevDate: 2025-02-24

Keet JH, C Hui (2025)

One-hectare fine-scale dataset of a fynbos plant community in the Cape Floristic Region.

Data in brief, 59:111334.

Cape fynbos, which forms part of the Cape Floristic Region (CFR) of South Africa, a global biodiversity hotspot, is renowned for its high levels of plant species endemism and diversity. This extraordinary ecosystem, characterised by nutrient-poor soils and fire-adapted vegetation, is a treasure trove of endemic flora. However, this fragile system faces increasing threats from habitat loss, climate change, and invasive species. Pristine fynbos, naturally high in plant diversity and which forms a large part of the CFR, presents an ideal opportunity to gather fine-scale data on community assembly patterns. Most fynbos vegetation surveys use a plot size of about 100 m[2], with no spatial structures within plots to demarcate individual subplots. Here, a groundbreaking dataset is presented that fully covers 1-hectare of pristine fynbos, systematically gridded into 50 × 50 subplots, each measuring 2 × 2 m, arranged evenly within a square-shaped survey site. Each plot was assigned a unique Y-X coordinate combination. For each plot, all plant species present were recorded, along with their total percentage covers and maximum height values. Total percentage covers were also recorded for bare soil, rock, and termite mounds. This dataset provides a valuable contribution to the field of fynbos ecology, as well as plant community ecology in general, and establishes a benchmark for future one-hectare surveys of similar fynbos vegetation types, delineating the fine-scale composition and structure of fynbos in the CFR. The dataset will be useful for a wide audience, including community and spatial ecologists, plant and environmental scientists, and biodiversity informaticians and statistical ecologists, offering ideal data for testing new metrics of diversity and compositional turnover.

RevDate: 2025-02-24

Liu C, Downey RJ, Salminen JS, et al (2024)

Electrical brain activity during human walking with parametric variations in terrain unevenness and walking speed.

Imaging neuroscience (Cambridge, Mass.), 2:.

Mobile brain imaging with high-density electroencephalography (EEG) can provide insight into the cortical processes involved in complex human walking tasks. While uneven terrain is common in the natural environment and poses challenges to human balance control, there is limited understanding of the supraspinal processes involved with traversing uneven terrain. The primary objective of this study was to quantify electrocortical activity related to parametric variations in terrain unevenness for neurotypical young adults. We used high-density EEG to measure brain activity when 32 young adults walked on a novel custom-made uneven terrain treadmill surface with four levels of difficulty at a walking speed tailored to each participant. We identified multiple brain regions associated with uneven terrain walking. Alpha (8 - 13 Hz) and beta (13 - 30 Hz) spectral power decreased in the sensorimotor and posterior parietal areas with increasing terrain unevenness while theta (4 - 8 Hz) power increased in the mid/posterior cingulate area with terrain unevenness. We also found that within stride spectral power fluctuations increased with terrain unevenness. Our secondary goal was to investigate the effect of parametric changes in walking speed (0.25 m/s, 0.5 m/s, 0.75 m/s, 1.0 m/s) to differentiate the effects of walking speed from uneven terrain. Our results revealed that electrocortical activities only changed substantially with speed within the sensorimotor area but not in other brain areas. Together, these results indicate there are distinct cortical processes contributing to the control of walking over uneven terrain versus modulation of walking speed on smooth, flat terrain. Our findings increase our understanding of cortical involvement in an ecologically valid walking task and could serve as a benchmark for identifying deficits in cortical dynamics that occur in people with mobility deficits.

RevDate: 2025-02-23
CmpDate: 2025-02-07

Astill Wright L, Moore M, Reeves S, et al (2025)

Improving the Utility, Safety, and Ethical Use of a Passive Mood-Tracking App for People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study.

JMIR formative research, 9:e65140.

BACKGROUND: Coproduction with users of new digital technology, such as passive mood monitoring, is likely to improve its utility, safety, and successful implementation via improved design and consideration of how such technology fits with their daily lives. Mood-monitoring interventions are commonly used by people with bipolar disorder (BD) and have promising potential for digitization using novel technological methods.

OBJECTIVE: This study aims to explore how a passive behavioral monitoring platform, Remote Assessment of Disease and Relapse, would meet the needs of people with BD by specifically considering purpose and function, diversity of need, personal preference, essential components and potential risks, and harms and mitigation strategies through an iterative coproduction process.

METHODS: A total of 17 people with BD were recruited via national charities. We conducted 3 web-based focus groups as a part of an iterative coproduction process in line with responsible research and innovation principles and with consideration of clinical challenges associated with BD. Data were analyzed thematically. Results were cross-checked by someone with lived experience of BD.

RESULTS: Focus groups were transcribed and analyzed using thematic analysis. Six themes were identified as follows: (1) the purpose of using the app, (2) desired features, (3) when to use the app, (4) risks of using the app, (5) sharing with family and friends, and (6) sharing with health care professionals.

CONCLUSIONS: People with BD who are interested in using passive technology to monitor their mood wish to do so for a wide variety of purposes, identifying several preferences and potential risks. Principally, people with BD wished to use this novel technology to aid them in self-managing their BD with greater insight and a better understanding of potential triggers. We discuss key features that may aid this functionality and purpose, including crisis plans and sharing with others. Future development of passive mood-monitoring technologies should not assume that the involvement of formal mental health services is desired.

RevDate: 2025-02-22

Lee S, Kaufmann CN, Lippi CA, et al (2025)

Untreated insomnia as a contributor to geographic disparities in risk for Alzheimer's disease and related dementias.

RevDate: 2025-02-22

Wuyun D, Sun L, Chen Z, et al (2025)

A 10-meter resolution dataset of abandoned and reclaimed cropland from 2016 to 2023 in Inner Mongolia, China.

Scientific data, 12(1):317.

Amid growing global food security concerns and frequent armed conflicts, real-time monitoring of abandoned cropland is essential for strategic planning and crisis management. This study develops a method to map abandoned cropland accurately, crucial for maintaining the food supply chain and ecological balance. Utilizing Sentinel-1/2 satellite data, we employed multi-feature stacking and machine learning to create the ARCC10-IM (Abandoned and Reclaimed Cropland Classification at 10-meter resolution in Inner Mongolia) dataset, which tracks annual cropland activity. A novel temporal segmentation algorithm was developed to extract cropland abandonment and reclamation patterns annually, using sliding time windows over several years. This research differentiates cropland states-active cultivation, unstable fallowing, continuous abandonment, and reclamation-providing continuous, regional-scale maps with 10-meter resolution. ARCC10-IM is crucial for land planning, environmental monitoring, and agricultural management in arid areas like Inner Mongolia, enhancing decision-making and technology in land use tracking.

RevDate: 2025-02-22
CmpDate: 2025-02-22

Zheng JY, Jiang G, Gao FH, et al (2025)

MCTASmRNA: A deep learning framework for alternative splicing events classification.

International journal of biological macromolecules, 300:139941.

Alternative splicing (AS) plays crucial post-transcriptional gene function regulation roles in eukaryotic. Despite progress in studying AS at the RNA level, existing methods for AS event identification face challenges such as inefficiency, lengthy processing times, and limitations in capturing the complexity of RNA sequences. To overcome these challenges, we evaluated 10 AS detection tools and selected rMATS for dataset construction. We then developed a multi-scale convolutional and Transformer-based model (MCTASmRNA) to classify AS events in mRNA sequences without relying on a reference genome. To handle the problem of large intra-class and small inter-class difference in AS event sequences, we incorporated an efficient channel attention mechanism and designed a new joint loss function to optimize MCTASmRNA training. MCTASmRNA outperformed baseline models, with an accuracy improvement and exhibited enhanced cross-species generalizability. This model provides valuable support for AS research across different organisms. Future work will focus on optimizing and expanding the model to further explore the complex mechanisms underlying AS.

RevDate: 2025-02-21
CmpDate: 2025-02-21

Li L, Gupta A, Zhu C, et al (2025)

Strigolactone and karrikin receptors regulate phytohormone biosynthetic and catabolic processes.

Plant cell reports, 44(3):60.

Karrikin plays a more critical role in affecting the homeostasis of ABA and cytokinins, while strigolactones play a more critical role in influencing the homeostasis of jasmonic acid and gibberellins. Strigolactones (SLs) and karrikins (KARs) regulate plant growth and development through their crosstalk, and through the crosstalk between them and other phytohormones, such as abscisic acid (ABA) and auxin. However, how SL and KAR signaling pathways influence the levels of other phytohormones is still unknown. Here, we performed a comparative transcriptome analysis of the Arabidopsis thaliana double mutant dwarf14 karrikin-insensitive 2 (d14 kai2), deficient in SL and KAR perception, and the wild-type (WT) using their rosette leaves. Ten gene ontology terms related to phytohormones were enriched with differentially expressed genes derived from the 'd14 kai2 vs WT' comparison. Our data revealed that the levels of auxin, ABA and salicylic acid (SA) were higher in d14 and kai2 single and d14 kai2 mutant plants than in WT, which was consistent with the results of previous investigations. In contrast, the levels of cytokinins (CKs) were found to be lower in all single and double mutants than in WT. The levels of active gibberellins were lower in d14 and d14 kai2 mutants than in WT, while they were comparable in kai2 and WT plants. Similarly, the levels of jasmonic acid (JA) were lower in d14 and d14 kai2 plants, but higher in kai2 plants than in WT. Both transcriptome and qRT-PCR analyses indicated that SL and KAR signaling pathways affect the levels of auxin, SA, CKs, gibberellin 4 (GA4) and ABA by influencing the expression of their biosynthetic (in case of auxin, SA, GA4 and CKs) and catabolic (in case of ABA) genes. Collectively, our data demonstrated that KAI2 plays a more critical role in the homeostasis of ABA and CKs, while D14 plays a more critical role in the homeostasis of JA and gibberellins. Findings of this study indicate a complex and broad crosstalk among various phytohormones in plants, which can be considered for future exogenous applications and hormone engineering.

RevDate: 2025-02-21
CmpDate: 2025-02-21

Elkin-Frankston S, McIntyre J, Brunyé TT, et al (2025)

Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts.

Cognitive research: principles and implications, 10(1):10.

Existing toolkits for analyzing movement dynamics in animal ecology primarily focus on individual or group behavior in habitats without predefined boundaries, while methods for studying human activity often cater to bounded environments, such as team sports played on defined fields. This leaves a gap in tools for modeling and analyzing human group dynamics in large-scale, unbounded, or semi-constrained environments. Examples of such contexts include tourist groups, cycling teams, search and rescue teams, and military units. To address this issue, we survey existing methods and metrics for characterizing individual and collective movement in humans and animals. Using a rich GPS dataset from groups of military personnel engaged in a foot march, we develop a comprehensive, general-purpose toolkit for quantifying group dynamics using location-based metrics during goal-directed movement in open environments. This toolkit includes a repository of Python functions for extracting and analyzing movement data, integrating cognitive factors such as decision-making, situational awareness, and group coordination. By extending location-based analytics to non-traditional domains, this toolkit enhances the understanding of collective movement, group behavior, and emergent properties shaped by cognitive processes. To demonstrate its practical utility, we present a use case utilizing metrics derived from the foot march data to predict group performance during a subsequent strategic and tactical exercise, highlighting the influence of cognitive and decision-making behaviors on team effectiveness.

RevDate: 2025-02-21

Blumenstiel JP, Kingan SB, Garrigan D, et al (2025)

Nested likelihood-ratio testing of the nonsynonymous:synonymous ratio suggests greater adaptation in the piRNA machinery of Drosophila melanogaster compared with Drosophila ananassae and Drosophila willistoni, two species with higher repeat content.

G3 (Bethesda, Md.) pii:8029657 [Epub ahead of print].

Numerous studies have revealed a signature of strong adaptive evolution in the piwi-interacting RNA (piRNA) machinery of Drosophila melanogaster, but the cause of this pattern is not understood. Several hypotheses have been proposed. One hypothesis is that transposable element (TE) families and the piRNA machinery are co-evolving under an evolutionary arms race, perhaps due to antagonism by TEs against the piRNA machinery. A related, though not co-evolutionary, hypothesis is that recurrent TE invasion drives the piRNA machinery to adapt to novel TE strategies. A third hypothesis is that ongoing fluctuation in TE abundance leads to adaptation in the piRNA machinery that must constantly adjust between sensitivity for detecting new elements and specificity to avoid the cost of off-target gene silencing. Rapid evolution of the piRNA machinery may also be driven independently of TEs, and instead from other functions such as the role of piRNAs in suppressing sex-chromosome meiotic drive. We sought to evaluate the impact of TE abundance on adaptive evolution of the piRNA machinery in D. melanogaster and 2 species with higher repeat content-Drosophila ananassae and Drosophila willistoni. This comparison was achieved by employing a likelihood-based hypothesis testing framework based on the McDonald-Kreitman test. We show that we can reject a faster rate of adaptive evolution in the piRNA machinery of these 2 species. We propose that the high rate of adaptation in D. melanogaster is either driven by a recent influx of TEs that have occurred during range expansion or selection on other functions of the piRNA machinery.

RevDate: 2025-02-21

Plaitano EG, McNeish D, Bartels SM, et al (2025)

Adherence to a digital therapeutic mediates the relationship between momentary self-regulation and health risk behaviors.

Frontiers in digital health, 7:1467772.

INTRODUCTION: Smoking, obesity, and insufficient physical activity are modifiable health risk behaviors. Self-regulation is one fundamental behavior change mechanism often incorporated within digital therapeutics as it varies momentarily across time and contexts and may play a causal role in improving these health behaviors. However, the role of momentary self-regulation in achieving behavior change has been infrequently examined. Using a novel momentary self-regulation scale, this study examined how targeting self-regulation through a digital therapeutic impacts adherence to the therapeutic and two different health risk behavioral outcomes.

METHODS: This prospective interventional study included momentary data for 28 days from 50 participants with obesity and binge eating disorder and 50 participants who smoked regularly. An evidence-based digital therapeutic, called Laddr™, provided self-regulation behavior change tools. Participants reported on their momentary self-regulation via ecological momentary assessments and health risk behaviors were measured as steps taken from a physical activity tracker and breathalyzed carbon monoxide. Medical regimen adherence was assessed as daily Laddr usage. Bayesian dynamic mediation models were used to examine moment-to-moment mediation effects between momentary self-regulation subscales, medical regimen adherence, and behavioral outcomes.

RESULTS: In the binge eating disorder sample, the perseverance [β 1 = 0.17, 95% CI = (0.06, 0.45)] and emotion regulation [β 1 = 0.12, 95% CI = (0.03, 0.27)] targets of momentary self-regulation positively predicted Laddr adherence on the following day, and higher Laddr adherence was subsequently a positive predictor of steps taken the same day for both perseverance [β 2 = 0.335, 95% CI = (0.030, 0.717)] and emotion regulation [β 2 = 0.389, 95% CI = (0.080, 0.738)]. In the smoking sample, the perseverance target of momentary self-regulation positively predicted Laddr adherence on the following day [β = 0.91, 95% CI = (0.60, 1.24)]. However, higher Laddr adherence was not a predictor of CO values on the same day [β 2 = -0.09, 95% CI = (-0.24, 0.09)].

CONCLUSIONS: This study provides evidence that a digital therapeutic targeting self-regulation can modify the relationships between momentary self-regulation, medical regimen adherence, and behavioral health outcomes. Together, this work demonstrated the ability to digitally assess the transdiagnostic mediating effect of momentary self-regulation on medical regimen adherence and pro-health behavioral outcomes.

CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, identifier (NCT03774433).

RevDate: 2025-02-21

Su Z, Liu L, Zhang J, et al (2025)

A scientometric visualization analysis of the gut microbiota and gestational diabetes mellitus.

Frontiers in microbiology, 16:1485560.

BACKGROUND: The prevalence of gestational diabetes mellitus (GDM), a condition that is widespread globally, is increasing. The relationship between the gut microbiota and GDM has been a subject of research for nearly two decades, yet there has been no bibliometric analysis of this correlation. This study aimed to use bibliometrics to explore the relationship between the gut microbiota and GDM, highlighting emerging trends and current research hotspots in this field.

RESULTS: A total of 394 papers were included in the analysis. China emerged as the preeminent nation in terms of the number of publications on the subject, with 128 papers (32.49%), whereas the United States had the most significant impact, with 4,874 citations. The University of Queensland emerged as the most prolific institution, contributing 18 publications. Marloes Dekker Nitert was the most active author with 16 publications, and Omry Koren garnered the most citations, totaling 154. The journal Nutrients published the most studies (28 publications, 7.11%), whereas PLoS One was the most commonly co-cited journal, with a total of 805 citations. With respect to keywords, research focuses can be divided into 4 clusters, namely, "the interrelationship between the gut microbiota and pregnancy, childbirth," "the relationship between adverse metabolic outcomes and GDM," "the gut microbiota composition and metabolic mechanisms" and "microbiota and ecological imbalance." Key areas of focus include the interactions between the gut microbiota and individuals with GDM, as well as the formation and inheritance of the gut microbiota. Increasing attention has been given to the impact of probiotic supplementation on metabolism and pregnancy outcomes in GDM patients. Moreover, ongoing research is exploring the potential of the gut microbiota as a biomarker for GDM. These topics represent both current and future directions in this field.

CONCLUSION: This study provides a comprehensive knowledge map of the gut microbiota and GDM, highlights key research areas, and outlines potential future directions.

RevDate: 2025-02-21
CmpDate: 2025-02-21

Smith AR, Mueller ER, Lewis CE, et al (2025)

Assessment of Environmental, Sociocultural, and Physiological Influences on Women's Toileting Decisions and Behaviors Using "Where I Go": Pilot Study of a Mobile App.

JMIR mHealth and uHealth, 13:e56533 pii:v13i1e56533.

BACKGROUND: Little is known about women's decisions around toileting for urination and how those decisions influence moment-to-moment behaviors to manage bladder needs. The new smartphone app "Where I Go" captures such nuanced and granular data in real-world environments.

OBJECTIVE: This study aims to describe participant engagement with "Where I Go", variation in novel parameters collected, and readiness for the data collection tool's use in population-based studies.

METHODS: "Where I Go" has three components: (1) real-time data, (2) short look-back periods (3-4 h), and (3) event location (GPS recorded at each interaction). The sample size was 44 women. Recording of real-time toileting events and responding to look-back questions was measured over 2 days of data collection. The participant's self-entered location descriptions and the automatic GPS recordings were compared.

RESULTS: A total of 44 women with an average age of 44 (range 21-85) years interacted with the app. Real-time reporting of at least 1 toileting event per day was high (38/44, 86%, on day 1 and 40/44, 91%, on day 2) with a median of 5 (IQR 3-7 on day 1 and IQR 3-8 on day 2) toileting events recorded each day. Toileting most commonly occurred at home (85/140, 61%, on day 1 and 129/171, 75%, on day 2) due to a need to go (114/140, 66%, on day 1 and 153/171, 74%, on day 2). The most common reasons for delaying toileting were "work duties" (33/140, 21%, on day 1 and 21/171, 11%, on day 2) and "errands or traveling" (19/140, 12%, on day 1 and 19/171, 10%, on day 2). Response to at least 1 look-back notification was similarly high (41/44, 93%, on day 1 and 42/44, 95%, on day 2), with number of responses higher on average on day 2 compared with day 1 (mean on day 1=3.2, 95% CI 3.0-3.5; mean on day 2=4.3, 95% CI 3.9-4.7; P<.001). Median additional toileting events reported on the look-back survey were 1 (IQR 1-2) and 2 (IQR 1-2) on days 1 and 2, respectively. Overall concordance between self-reported location recording and GPS was 76% (188/247). Participants reported lower urge ratings when at home versus away when reporting real-time toileting (median rating 61, IQR 41-84 vs 72, IQR 56-98), and daily fluid intake showed a small to medium positive correlation with toileting frequency (day 1 r=0.3, day 2 r=0.24). Toileting frequency reported in "Where I Go" showed a small positive correlation with the frequency item from the International Consultation on Incontinence Questionnaire (r=0.31 with day 1 toileting frequency and r=0.21 with day 2 toileting frequency).

CONCLUSIONS: "Where I Go" has potential to increase the understanding of factors that affect women's toileting decisions and long-term bladder health. We anticipate its use as a data collection tool in population-based studies.

RevDate: 2025-02-21
CmpDate: 2025-02-21

Chen Y, Zheng L, Ma J, et al (2025)

The Mediating Role of Meaning-Making in the Relationship Between Mental Time Travel and Positive Emotions in Stress-Related Blogs: Big Data Text Analysis Research.

Journal of medical Internet research, 27:e63407 pii:v27i1e63407.

BACKGROUND: Given the ubiquity of stress, a key focus of stress research is exploring how to better coexist with stress.

OBJECTIVE: This study conducted text analysis on stress-related Weibo posts using a web crawler to investigate whether these posts contained positive emotions, as well as elements of mental time travel and meaning-making. A mediation model of mental time travel, meaning-making, and positive emotions was constructed to examine whether meaning-making triggered by mental time travel can foster positive emotions under stress.

METHODS: Using Python 3.8, the original public data from active Weibo users were crawled, yielding 331,711 stress-related posts. To avoid false positives, these posts were randomly divided into two large samples for cross-validation (sample 1: n=165,374; sample 2: n=166,337). Google's natural language processing application programming interface was used for word segmentation, followed by text and mediation analysis using the Chinese psychological analysis system "Wenxin." A mini-meta-analysis of the mediation path coefficients was conducted. Text analysis identified mental time travel words, meaning-making words, and positive emotion words in stress-related posts.

RESULTS: The constructed mediation model of mental time travel words (time words), meaning-making words (causal and insightful words), and positive poststress emotions validated positive adaptation following stress. A mini-meta-analysis of two different mediation models constructed in the two subsamples indicated a stable mediation effect across the 2 random subsamples. The combined effect size (B) obtained was .013 (SE 0.003, 95% CI 0.007-0.018; P<.001), demonstrating that meaning-making triggered by mental time travel in stress-related blog posts can predict positive emotions under stress.

CONCLUSIONS: Individuals can adapt positively to stress by engaging in meaning-making processes that are triggered by mental time travel and reflected in their social media posts. The study's mediation model confirmed that mental time travel leads to meaning-making, which fosters positive emotional responses to stress. Mental time travel serves as a psychological strategy to facilitate positive adaptation to stressful situations.

RevDate: 2025-02-20

Gutiérrez ME, Lahoz-Beltrá R, AJ Donayre-Torres (2025)

Editorial: Towards the embedding of artificial intelligence into synthetic organisms: engineering intelligence in microorganisms.

Frontiers in genetics, 16:1562092 pii:1562092.

RevDate: 2025-02-20
CmpDate: 2025-02-20

Beltran RS, Kilpatrick AM, Adamczak SK, et al (2025)

Integrating animal tracking and trait data to facilitate global ecological discoveries.

The Journal of experimental biology, 228(Suppl_1):.

Understanding animal movement is at the core of ecology, evolution and conservation science. Big data approaches for animal tracking have facilitated impactful synthesis research on spatial biology and behavior in ecologically important and human-impacted regions. Similarly, databases of animal traits (e.g. body size, limb length, locomotion method, lifespan) have been used for a wide range of comparative questions, with emerging data being shared at the level of individuals and populations. Here, we argue that the proliferation of both types of publicly available data creates exciting opportunities to unlock new avenues of research, such as spatial planning and ecological forecasting. We assessed the feasibility of combining animal tracking and trait databases to develop and test hypotheses across geographic, temporal and biological allometric scales. We identified multiple research questions addressing performance and distribution constraints that could be answered by integrating trait and tracking data. For example, how do physiological (e.g. metabolic rates) and biomechanical traits (e.g. limb length, locomotion form) influence migration distances? We illustrate the potential of our framework with three case studies that effectively integrate trait and tracking data for comparative research. An important challenge ahead is the lack of taxonomic and spatial overlap in trait and tracking databases. We identify critical next steps for future integration of tracking and trait databases, with the most impactful being open and interlinked individual-level data. Coordinated efforts to combine trait and tracking databases will accelerate global ecological and evolutionary insights and inform conservation and management decisions in our changing world.

RevDate: 2025-02-20
CmpDate: 2025-02-20

Panayi P, Contreras A, Peters E, et al (2025)

A temporal network analysis of complex post-traumatic stress disorder and psychosis symptoms.

Psychological medicine, 55:e43 pii:S0033291725000030.

BACKGROUND: Symptoms of complex post-traumatic stress disorder (cPTSD) may play a role in the maintenance of psychotic symptoms. Network analyses have shown interrelationships between post-traumatic sequelae and psychosis, but the temporal dynamics of these relationships in people with psychosis and a history of trauma remain unclear. We aimed to explore, using network analysis, the temporal order of relationships between symptoms of cPTSD (i.e. core PTSD and disturbances of self-organization [DSOs]) and psychosis in the flow of daily life.

METHODS: Participants with psychosis and comorbid PTSD (N = 153) completed an experience-sampling study involving multiple daily assessments of psychosis (paranoia, voices, and visions), core PTSD (trauma-related intrusions, avoidance, hyperarousal), and DSOs (emotional dysregulation, interpersonal difficulties, negative self-concept) over six consecutive days. Multilevel vector autoregressive modeling was used to estimate three complementary networks representing different timescales.

RESULTS: Our between-subjects network suggested that, on average over the testing period, most cPTSD symptoms related to at least one positive psychotic symptom. Many average relationships persist in the contemporaneous network, indicating symptoms of cPTSD and psychosis co-occur, especially paranoia with hyperarousal and negative self-concept. The temporal network suggested that paranoia reciprocally predicted, and was predicted by, hyperarousal, negative self-concept, and emotional dysregulation from moment to moment. cPTSD did not directly relate to voices in the temporal network.

CONCLUSIONS: cPTSD and positive psychosis symptoms mutually maintain each other in trauma-exposed people with psychosis via the maintenance of current threat, consistent with cognitive models of PTSD. Current threat, therefore, represents a valuable treatment target in phased-based trauma-focused psychosis interventions.

RevDate: 2025-02-19

Miller L, Beaney T, Hope R, et al (2025)

General practice antibiotic prescriptions attributable to respiratory syncytial virus by age and antibiotic class: an ecological analysis of the English population.

The Journal of antimicrobial chemotherapy pii:8023879 [Epub ahead of print].

BACKGROUND: Respiratory syncytial virus (RSV) may contribute to a substantial volume of antibiotic prescriptions in primary care. However, data on the type of antibiotics prescribed for such infections are only available for children <5 years in the UK. Understanding the contribution of RSV to antibiotic prescribing would facilitate predicting the impact of RSV preventative measures on antibiotic use and resistance. The objective of this study was to estimate the proportion of antibiotic prescriptions in English general practice attributable to RSV by age and antibiotic class.

METHODS: Generalized additive models examined associations between weekly counts of general practice antibiotic prescriptions and laboratory-confirmed respiratory infections from 2015 to 2018, adjusting for temperature, practice holidays and remaining seasonal confounders. We used general practice records from the Clinical Practice Research Datalink and microbiology tests for RSV, influenza, rhinovirus, adenovirus, parainfluenza, human metapneumovirus, Mycoplasma pneumoniae and Streptococcus pneumoniae from England's Second Generation Surveillance System.

RESULTS: An estimated 2.1% of antibiotics were attributable to RSV, equating to an average of 640 000 prescriptions annually. Of these, adults ≥75 years contributed to the greatest volume, with an annual average of 149 078 (95% credible interval: 93 733-206 045). Infants 6-23 months had the highest average annual rate at 6580 prescriptions per 100 000 individuals (95% credible interval: 4522-8651). Most RSV-attributable antibiotic prescriptions were penicillins, macrolides or tetracyclines. Adults ≥65 years had a wider range of antibiotic classes associated with RSV compared with younger age groups.

CONCLUSIONS: Interventions to reduce the burden of RSV, particularly in older adults, could complement current strategies to reduce antibiotic use in England.

RevDate: 2025-02-19
CmpDate: 2025-02-19

Klarevas-Irby JA, Nyaguthii B, DR Farine (2025)

Moving as a group imposes constraints on the energetic efficiency of movement.

Proceedings. Biological sciences, 292(2041):20242760.

Movement is a key part of life for many species. In solitary animals, the energetic costs of movement can be mitigated through energetically efficient strategies that produce faster, straighter movements. However, little is known about whether moving as part of a collective enhances or limits the ability of individual group members to express such strategies. Drawing on 6 years of population-level, high-resolution (1 Hz) GPS tracking of group-living vulturine guineafowl (Acryllium vulturinum), we detected 886 events from 94 tagged individuals where their groups made large, range-shifting displacements in response to changing environmental conditions. We contrasted these movements with data from 94 similarly large displacement events by 19 lone, dispersing individuals. Our results suggest that individuals in groups can significantly reduce their energetic cost of transport when making large displacements (15.3% more efficient relative to their normal daily ranging) by increasing the speed and straightness of their movements. However, even during their most efficient movements, individuals in groups could not achieve or maintain comparable increases in speed to lone individuals, resulting in significantly limited efficiency gains (35.7% less efficient than solitary individuals). Overall, this study provides evidence for a substantial energetic cost arising from collective movement.

RevDate: 2025-02-18
CmpDate: 2025-02-18

Giglio VJ, Adelir-Alves J, Balzaretti Merino N, et al (2025)

DiverReef: A global database of the behavior of recreational divers and their interactions with reefs over 20 years.

Ecology, 106(2):e4519.

Recreational diving is an important activity in reef environments worldwide, providing income and employment for coastal communities and connecting visiting divers to these ecosystems promoting conservation and stewardship. However, if poorly managed, diving has the potential to cause detrimental effects on benthic communities via mechanical damage caused by physical contact of divers with the reef, often in the form of unintentional fin kicks resulting from poor buoyancy. Understanding diver-reef interaction patterns is important to elucidate the potential impacts of diving tourism on the reef biota. The DiverReef database provides the first public dataset on the underwater behavior of recreational divers in shallow reef environments (<25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 20 years of data (2004-2023) by observing the behavior of 2311 recreational divers in nine countries at 19 diving destinations and 176 diving sites; 93% of the observations were in marine protected areas. The data were collected through on-site observations of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic sessile reef organisms. Observers discreetly followed divers and recorded their behavior and interactions with the reef over set periods. Interactions were described as "contact" or "damage," the latter referring to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation, and marine protection status of the dive site. The authors of this research expect that the data provided will be useful in advancing knowledge of how divers interact with reefs and in developing strategies to mitigate the potential detrimental effects of the diving industry on reef biota. Part of the data has already been used in reports and scientific articles. This dataset can be freely used for noncommercial purposes; we request that users of these data cite this data paper in all publications resulting from the use of this dataset.

RevDate: 2025-02-18

Lima-Cordón R, Mohabir JT, Sooklall M, et al (2025)

A Short-Read Amplicon Sequencing Protocol and Bioinformatic Pipeline for Ecological Surveillance of Dipteran Disease Vectors.

Molecular ecology resources [Epub ahead of print].

Vector control remains an important strategy worldwide to prevent human infection with pathogens transmitted by arthropods. Vector control strategies rely on accurate identification of vector taxa along with vector-specific biological indicators such as feeding ecology, infection prevalence and insecticide resistance. Multiple 'DNA barcoding' protocols have been published over the past several decades to support these applications, generally relying on informal manual approaches such as BLAST to assign taxonomic identity to the resulting sequences. We present a standardised informatic pipeline for analysis of DNA barcoding data from dipteran vectors, VecTreeID, that uses short-read amplicon sequencing (AmpSeq) coupled with sequence similarity assessment (BLAST) and an evolutionary placement algorithm (EPA-ng) to achieve vector taxonomic identification, capture bionomic features (blood and plant meal sources), determine Plasmodium infection status (for anopheline mosquitoes) and detect target-site insecticide resistance mutations. The VecTreeID pipeline provides uncertainty in assignment through identifications at varying levels of taxonomic rank, a feature missing from many approaches to DNA barcoding, but important given gaps and labelling problems in public sequence databases. We validated an Illumina-based implementation of VecTreeID on laboratory and field samples, and find that the blood meal amplicons can detect vertebrate DNA sequences up to 36 h post-feeding, and that short-read sequencing data are capable of sensitively detecting minor sequences in DNA mixtures representing multi-species blood or nectar meals. This high-throughput VecTreeID approach empowers researchers and public health professionals to survey and control arthropod disease vectors consistently and effectively.

RevDate: 2025-02-17
CmpDate: 2025-02-17

Ferdousee S, Alam MS, Hwangbo M, et al (2025)

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands.

Journal of visualized experiments : JoVE.

Coastal wetlands are the largest biotic source of methane, where methanogens convert organic matter into methane and methanotrophs oxidize methane, thus playing a critical role in regulating the methane cycle. The wetlands in South Texas, which are subject to frequent weather events, fluctuating salinity levels, and anthropogenic activities due to climate change, influence methane cycling. Despite the ecological importance of these processes, methane cycling in South Texas coastal wetlands remains insufficiently explored. To address this gap, we developed and optimized a method for detecting genes related to methanogens and methanotrophs, including mcrA as a biomarker for methanogens and pmoA1, pmoA2, and mmoX as biomarkers for methanotrophs. Additionally, this study aimed to visualize the spatial and temporal distribution patterns of methanogen and methanotroph abundance utilizing the geographic information system (GIS) software ArcGIS Pro. The integration of these molecular techniques with advanced geospatial visualization provided critical insights into the spatial and temporal distribution of methanogen and methanotroph communities across South Texas wetlands. Thus, the methodology established in this study offers a robust framework for mapping microbial dynamics in wetlands, enhancing our understanding of methane cycling under varying environmental conditions, and supporting broader ecological and environmental change studies.

RevDate: 2025-02-17

Latini L, Burini G, Mazza V, et al (2025)

Early-life environment shapes claw bilateral asymmetry in the European lobster (Homarus gammarus).

Biology open pii:366992 [Epub ahead of print].

Developmental plasticity refers to an organism's ability to adjust its development in response to changing environmental conditions, leading to changes in behaviour, physiology, or morphology. This adaptability is crucial for survival and helps organisms to cope with environmental challenges throughout their lives. Understanding the mechanisms underlying developmental plasticity, particularly how environmental and ontogenetic factors shape functional traits, is fundamental for both evolutionary biology and conservation efforts. In this study we investigated the effects of early-life environmental conditions on the development of claw asymmetry in juvenile European lobsters (Homarus gammarus, N=244), a functional trait essential for survival and ecological success. Juveniles were randomly divided between four different rearing conditions characterized by the presence or absence of physical enrichments (e.g., substrate and shelters), which were introduced at different developmental stages in separated groups to assess the timing and nature of their effect. Results revealed that exposure to substrate alone, without additional stimuli, consistently promoted claw asymmetry, regardless of the timing of its introduction, while the 6th developmental stage emerged as the critical period for claw differentiation. By identifying the environmental factors that influence developmental outcomes in lobsters, and the timing of these effects, this study improves our understanding of developmental plasticity and offers valuable insights for optimizing conservation aquaculture and reintroduction strategies.

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RJR Experience and Expertise

Researcher

Robbins holds BS, MS, and PhD degrees in the life sciences. He served as a tenured faculty member in the Zoology and Biological Science departments at Michigan State University. He is currently exploring the intersection between genomics, microbial ecology, and biodiversity — an area that promises to transform our understanding of the biosphere.

Educator

Robbins has extensive experience in college-level education: At MSU he taught introductory biology, genetics, and population genetics. At JHU, he was an instructor for a special course on biological database design. At FHCRC, he team-taught a graduate-level course on the history of genetics. At Bellevue College he taught medical informatics.

Administrator

Robbins has been involved in science administration at both the federal and the institutional levels. At NSF he was a program officer for database activities in the life sciences, at DOE he was a program officer for information infrastructure in the human genome project. At the Fred Hutchinson Cancer Research Center, he served as a vice president for fifteen years.

Technologist

Robbins has been involved with information technology since writing his first Fortran program as a college student. At NSF he was the first program officer for database activities in the life sciences. At JHU he held an appointment in the CS department and served as director of the informatics core for the Genome Data Base. At the FHCRC he was VP for Information Technology.

Publisher

While still at Michigan State, Robbins started his first publishing venture, founding a small company that addressed the short-run publishing needs of instructors in very large undergraduate classes. For more than 20 years, Robbins has been operating The Electronic Scholarly Publishing Project, a web site dedicated to the digital publishing of critical works in science, especially classical genetics.

Speaker

Robbins is well-known for his speaking abilities and is often called upon to provide keynote or plenary addresses at international meetings. For example, in July, 2012, he gave a well-received keynote address at the Global Biodiversity Informatics Congress, sponsored by GBIF and held in Copenhagen. The slides from that talk can be seen HERE.

Facilitator

Robbins is a skilled meeting facilitator. He prefers a participatory approach, with part of the meeting involving dynamic breakout groups, created by the participants in real time: (1) individuals propose breakout groups; (2) everyone signs up for one (or more) groups; (3) the groups with the most interested parties then meet, with reports from each group presented and discussed in a subsequent plenary session.

Designer

Robbins has been engaged with photography and design since the 1960s, when he worked for a professional photography laboratory. He now prefers digital photography and tools for their precision and reproducibility. He designed his first web site more than 20 years ago and he personally designed and implemented this web site. He engages in graphic design as a hobby.

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This book introduces readers to ecological informatics as an emerging discipline that takes into account the data-intensive nature of ecology, the valuable information to be found in ecological data, and the need to communicate results and inform decisions, including those related to research, conservation and resource management. At its core, ecological informatics combines developments in information technology and ecological theory with applications that facilitate ecological research and the dissemination of results to scientists and the public. Its conceptual framework links ecological entities (genomes, organisms, populations, communities, ecosystems, landscapes) with data management, analysis and synthesis, and communicates new findings to inform decisions by following the course of a loop. In comparison to the 2nd edition published in 2006, the 3rd edition of Ecological Informatics reflects the significant advances in data management, analysis and synthesis that have been made over the past 10 years, including new remote and in situ sensing techniques, the emergence of ecological and environmental observatories, novel evolutionary computations for knowledge discovery and forecasting, and new approaches to communicating results and informing decisions.

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Collection of publications by R J Robbins

Reprints and preprints of publications, slide presentations, instructional materials, and data compilations written or prepared by Robert Robbins. Most papers deal with computational biology, genome informatics, using information technology to support biomedical research, and related matters.

Research Gate page for R J Robbins

ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. According to a study by Nature and an article in Times Higher Education , it is the largest academic social network in terms of active users.

Curriculum Vitae for R J Robbins

short personal version

Curriculum Vitae for R J Robbins

long standard version

RJR Picks from Around the Web (updated 11 MAY 2018 )