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Final filtered SNP datasets used in the study by Jordan ๐ฆ๐ต ๐ข๐ญ. 2023 titled "Landscape genomics reveals signals of climate adaptation and a cryptic lineage in ๐๐ณ๐ต๐ฉ๐ณ๐ฐ๐ฑ๐ฐ๐ฅ๐ช๐ถ๐ฎ ๐ง๐ช๐ฎ๐ฃ๐ณ๐ช๐ข๐ต๐ถ๐ฎ" (citation below). The dataset comprise SNP genotypes for 13 provenance and 10 provenances. Each file can be read into R using the 'readRDS()' function. This will read in a list object that contains 5 datasets used for analysis. This includes a (i) 'genlight' object of class adegenet, (ii) 'genmat' object of class matrix (row = sample, column = SNP) that was used to create the genind object, (iii) 'genind' object of class adegenet, (iv) 'genpop' object of class adegenet, and (v) 'allele_freq' object of class matrix comprising the population allele frequencies (row = sample, column = SNP). Subjects
Adaptation to Climate Change |
Biological Sciences |
Biological Adaptation |
Climate Change Impacts and Adaptation |
Conservation and Biodiversity |
DArTSeq |
Environmental Management |
Environmental Policy, Climate Change and Natural Hazards |
Environmental Sciences |
Ecological Impacts of Climate Change and Ecological Adaptation |
Ecosystem Adaptation to Climate Change |
Environmental Management |
Environmental Rehabilitation and Restoration |
Evolutionary Biology |
Rehabilitation or Conservation of Terrestrial Environments |
SNP |
Terrestrial Systems and Management |
climate adaptation |
restoration |
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