
Biological Conservation, Journal Year: 2024, Volume and Issue: 299, P. 110828 - 110828
Published: Oct. 31, 2024
Language: Английский
Biological Conservation, Journal Year: 2024, Volume and Issue: 299, P. 110828 - 110828
Published: Oct. 31, 2024
Language: Английский
Published: April 27, 2025
Language: Английский
Citations
1Molecular Ecology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 12, 2025
To halt the loss of biodiversity, collaboration among scientists, managers and decision-makers is vital. Although biodiversity a global problem, management actions influencing diversity are often on local to regional scale. Our study an example conservation genomic assessment developed in between scientists managers. We used 2bRAD sequencing assess 18 eelgrass (Zostera marina) meadows northwestern Sweden, area that has experienced large losses since 1980s. Genetic was comparable other assessed Atlantic, but order magnitude lower than Pacific. All one meadow showed high rates sexual reproduction. Almost all were divergent grouped into five genetic clusters. Four clusters correspond geographic regions can be define units. Meadows areas with decline 1980s 2020s more inbred increase eelgrass. Overall, our results indicate striving protect number within each cluster important for maintaining connectivity Sweden likely beneficial wider ecosystem. estimate current indicators essential variables discuss their challenges marine facultative clonal species. showcase how regional-scale assessments serve as foundation protection restoration priority
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: April 3, 2025
Language: Английский
Citations
0GigaScience, Journal Year: 2025, Volume and Issue: 14
Published: Jan. 1, 2025
Abstract Background Next-generation sequencing has created many new technological challenges in organizing and distributing genomics datasets, which now can routinely reach petabyte scales. Coupled with data-hungry artificial intelligence machine learning applications, findable, accessible, interoperable, reusable datasets have never been more valuable. While major archives like the Genomics Data Commons, Sequence Reads Archive, European Genome-Phenome Archive improved researchers’ ability to share reuse data, general-purpose repositories such as Zenodo Figshare provide valuable platforms for research data publication, diversity of precludes any one-size-fits-all approach. In cases, bespoke solutions are required, despite funding agencies journals increasingly mandating practices, researchers still lack technical support needed meet multifaceted reuse. Findings Overture bridges this gap by providing open-source software building deploying customizable platforms. Its architecture consists modular microservices, each is generalized narrow responsibilities that together combine create complete management systems. These systems enable organize, share, explore their at scale. Through Overture, connect both humans machines, fostering reproducibility enabling insights through controlled sharing Conclusions By making these tools freely available, we accelerate development reliable genomic across community quickly, flexibly, multiple an project licensed under AGPLv3.0 all source code publicly available from https://github.com/overture-stack documentation on development, deployment, usage www.overture.bio.
Language: Английский
Citations
0Methods in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 15(9), P. 1466 - 1482
Published: July 10, 2024
Abstract Over the past decade, there has been a rapid increase in development of predictive models at intersection molecular ecology, genomics, and global change. The common goal these ‘genomic forecasting’ is to integrate genomic data with environmental ecological model make quantitative predictions about vulnerability populations climate Despite methodological growing number systems which forecasts are made, themselves rarely evaluated rigorous manner ground‐truth experiments. This study reviews evaluation experiments that have done, introduces important terminology regarding forecasting models, discusses elements design reporting To date, experimental evaluations found high variation accuracy forecasts, but it difficult compare studies on ground due different approaches designs. Additionally, some may be biased toward higher performance because training testing not independent. In addition independence between data, an experiment include construction parameterization model, choice fitness proxies measure for test metric(s), degree extrapolation novel environments or genotypes, sensitivity, uncertainty reproducbility forecasts. Although methods becoming more accessible, evaluating their limitations particular system requires careful planning experimentation. Meticulously designed can clarify robustness application management. Clear basic will improve rigour evaluations, turn our understanding why work cases others.
Language: Английский
Citations
2Biological Conservation, Journal Year: 2024, Volume and Issue: 299, P. 110828 - 110828
Published: Oct. 31, 2024
Language: Английский
Citations
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