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Data from: Putative climate adaptation in American pikas (Ochotona princeps) is associated with copy number variation across environmental gradients Sjodin, Bryson; Schmidt, Danielle; Galbreath, Kurt; Russello, Michael
Description
Abstract
Improved understanding of the genetic basis of adaptation to climate change is necessary for maintaining global biodiversity moving forward. Studies to date have largely focused on sequence variation, yet there is growing evidence that suggests that changes in genome structure may be an even more significant source of adaptive potential. The American pika (Ochotona princeps) is an alpine specialist that shows some evidence of adaptation to climate along elevational gradients, but previous work has been limited to single nucleotide polymorphism (SNP)-based analyses within a fraction of the species range. Here, we investigated the role of copy number variation underlying patterns of local adaptation in the American pika using genome-wide data previously collected across the entire species range. We identified 37-193 putative copy number variants (CNVs) associated with environmental variation (temperature, precipitation, solar radiation) within each of the six major American pika lineages, with patterns of divergence largely following elevational and latitudinal gradients. Genes associated (n=158) with independent annotations across lineages, variables, and/or CNVs had functions related to mitochondrial structure/function, immune response, hypoxia, olfaction, and DNA repair, some of which have been previously linked to putative high elevation and/or climate adaptation that may serve as important targets in future studies.
Methods
This research made use of previously archived short-read sequencing data deposited in the NCBI sequence read archive (BioProject ID: PRJNA1075342).
Item Metadata
| Title |
Data from: Putative climate adaptation in American pikas (Ochotona princeps) is associated with copy number variation across environmental gradients
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| Creator | |
| Date Issued |
2024-04-11
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| Description |
Abstract
Improved understanding of the genetic basis of adaptation to climate change is necessary for maintaining global biodiversity moving forward. Studies to date have largely focused on sequence variation, yet there is growing evidence that suggests that changes in genome structure may be an even more significant source of adaptive potential. The American pika (Ochotona princeps) is an alpine specialist that shows some evidence of adaptation to climate along elevational gradients, but previous work has been limited to single nucleotide polymorphism (SNP)-based analyses within a fraction of the species range. Here, we investigated the role of copy number variation underlying patterns of local adaptation in the American pika using genome-wide data previously collected across the entire species range. We identified 37-193 putative copy number variants (CNVs) associated with environmental variation (temperature, precipitation, solar radiation) within each of the six major American pika lineages, with patterns of divergence largely following elevational and latitudinal gradients. Genes associated (n=158) with independent annotations across lineages, variables, and/or CNVs had functions related to mitochondrial structure/function, immune response, hypoxia, olfaction, and DNA repair, some of which have been previously linked to putative high elevation and/or climate adaptation that may serve as important targets in future studies. ; MethodsThis research made use of previously archived short-read sequencing data deposited in the NCBI sequence read archive (BioProject ID: PRJNA1075342). |
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| Type | |
| Notes |
Dryad version number: 2 Version status: submitted Dryad curation status: Published Sharing link: http://datadryad.org/stash/dataset/doi:10.5061/dryad.2bvq83bzf</p> Storage size: 285479572 Visibility: public |
| Date Available |
2024-04-10
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| Provider |
University of British Columbia Library
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| License |
CC0 1.0
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| DOI |
10.14288/1.0441294
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| URI | |
| Publisher DOI | |
| Grant Funding Agency |
Natural Sciences and Engineering Research Council
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| Aggregated Source Repository |
Dataverse
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License
CC0 1.0