Data from: Variation in genomic vulnerability to climate change across temperate populations of eelgrass (Zostera marina) ...
A global decline in seagrass populations has led to renewed calls for their conservation as important providers of biogenic and foraging habitat, shoreline stabilisation, and carbon storage. Eelgrass (Zostera marina) occupies the largest geographic range among seagrass species spanning a commensurat...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2024
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.xpnvx0kp2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.xpnvx0kp2 |
| Summary: | A global decline in seagrass populations has led to renewed calls for their conservation as important providers of biogenic and foraging habitat, shoreline stabilisation, and carbon storage. Eelgrass (Zostera marina) occupies the largest geographic range among seagrass species spanning a commensurately broad spectrum of environmental conditions. In Canada, eelgrass is managed as a single phylogroup despite occurring across three oceans and a range of ocean temperatures and salinity gradients. Previous research has focused on applying relatively few markers to reveal population structure of eelgrass, whereas a whole genome approach is warranted to investigate cryptic structure among populations inhabiting different ocean basins and localized environmental conditions. We used a pooled whole-genome re-sequencing approach to characterise population structure, gene flow, and environmental associations of 23 eelgrass populations ranging from the Northeast United States, to Atlantic, subarctic, and Pacific Canada. ... : We generated allele frequencies for 23 Zostera marina populations across North America using a pooled whole-genome sequencing approach (poolseq). Individual shoots of eelgrass were collected from plants at least 2 metres apart in the field, to minimize the potential presence of clones in the data. Genomic DNA was extracted from all individuals and pooled at the population level for sequencing on an Illumina NovaSeq platform at Genome Quebec (Canada), and SNPs were called following the GATK pipeline. Analyses were conducted with Popoolation2 and R Studio. R Studio was used for all genomic-environmental association analyses, including redundancy analyses, and calculating genomic offset sensu Capblancq and Forester (2021). ... |
|---|