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GTDrift: a resource for exploring the interplay between genetic drift, genomic and transcriptomic characteristics in
Florian Bénitière1,2, Laurent Duret1, Anamaria Necsulea1
1Laboratoire de Biométrie et Biologie Évolutive, Université Lyon 1, UMR CNRS 5558, Villeurbanne, France.
GTDrift is a new data resource for exploring genomic and transcriptomic data alongside genetic drift proxies. It aids comparative analyses across 1506 species, offering insights into population genetics and evolutionary processes.
Area of Science:
- Evolutionary Biology
- Genomics
- Transcriptomics
Background:
- Understanding genetic drift is crucial for evolutionary studies.
- Comparative genomics and transcriptomics require integrated data resources.
- Existing resources may lack comprehensive genetic drift proxies and cross-species transcriptomic data.
Purpose of the Study:
- To introduce GTDrift, a novel data resource for exploring genomic and transcriptomic characteristics.
- To provide proxies for the intensity of genetic drift across a wide range of eukaryotic species.
- To facilitate comparative transcriptomics analyses and evolutionary studies.
Main Methods:
- Compiled data for 1506 eukaryotic species (1413 animals, 93 plants).
- Included effective population size proxies: life history traits (979 species) and dN/dS ratios (1324 species).
- Processed over 16,000 RNA-seq samples (491 species) for comparative transcriptomics, including splicing, expression, and depth, with orthology predictions.
Main Results:
- GTDrift integrates diverse genomic, transcriptomic, and population genetics data for 1506 species.
- Effective population size proxies (life history, dN/dS) are provided for extensive species coverage.
- Processed transcriptomic data and orthology predictions enable cross-species comparative analyses.
Conclusions:
- GTDrift serves as a valuable, comprehensive resource for evolutionary and population genetics research.
- The resource facilitates novel investigations into the relationship between genomic/transcriptomic features and genetic drift.
- Enables researchers to perform large-scale comparative analyses of splicing, gene expression, and evolutionary dynamics.
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