10.5061/DRYAD.DM540
Bay, Rachael A.
University of California Los Angeles
Harrigan, Ryan J.
University of California Los Angeles
Underwood, Vinh Le
University of California Los Angeles
Gibbs, H. Lisle
The Ohio State University
Smith, Thomas B.
University of California Los Angeles
Ruegg, Kristen C.
University of California Los Angeles
Data from: Genomic signals of selection predict climate-driven population
declines in a migratory bird
Dryad
dataset
2018
Genomic adaptation
Setophaga petechia
Climate Adaptation
National Science Foundation
https://ror.org/021nxhr62
PD-08-1269
2018-12-11T00:00:00Z
2018-12-11T00:00:00Z
en
https://doi.org/10.1126/science.aan4380
830682201 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The ongoing loss of biodiversity caused by rapid climatic shifts requires
accurate models for predicting species’ responses. Despite evidence that
evolutionary adaptation could mitigate climate change impacts, evolution
is rarely integrated into predictive models. Integrating population
genomics and environmental data, we identified genomic variation
associated with climate across the breeding range of the migratory
songbird, yellow warbler (Setophaga petechia). Populations requiring the
greatest shifts in allele frequencies to keep pace with future climate
change have experienced the largest population declines, suggesting that
failure to adapt may have already negatively affected populations.
Broadly, our study suggests that the integration of genomic adaptation can
increase the accuracy of future species distribution models and ultimately
guide more effective mitigation efforts.
Yellow warbler assemblyYellow warbler assembly including: 1) fasta file
with 18,414 scaffolds and 2) .gff file with annotations generated with the
MAKER pipeline.YWAR_assembly.tar.gz
North America