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Data and code associated with: Genomic responses to parallel selection in the eelgrass Zostera marina in adjacent bays

Cite this dataset

Schiebelhut, Lauren; Grosberg, Richard; Stachowicz, John J.; Bay, Rachael (2023). Data and code associated with: Genomic responses to parallel selection in the eelgrass Zostera marina in adjacent bays [Dataset]. Dryad. https://doi.org/10.6071/M3DD4F

Abstract

The extent of parallel genomic responses to similar selective pressures depends on a complex array of environmental, demographic, and evolutionary forces. Laboratory experiments with replicated selective pressures yield mixed outcomes under controlled conditions and our understanding of genomic parallelism in the wild is limited to a few well-established systems. Here, we examine genomic signals of selection in the eelgrass Zostera marina across temperature gradients in adjacent embayments. Although we find many genomic regions with signals of selection within each bay, there is little overlap at the SNP level across bays. We do find overlap at the gene level, potentially suggesting multiple mutational pathways to the same phenotype. Using polygenic models we find that some sets of candidate SNPs are able to predict temperature across both bays, suggesting that small but parallel shifts in allele frequencies may be missed by independent genome scans. Together, these results highlight the continuous rather than binary nature of parallel evolution in polygenic traits and the complexity of evolutionary predictability.

Methods

See materials and methods in manuscript.

Usage notes

See materials and methods in manuscript.

Funding

National Science Foundation of Sri Lanka, Award: OCE-1829976