Targeted capture and resequencing of 1040 genes reveal environmentally driven functional variation in grey wolves

摘要: In an era of ever-increasing amounts whole-genome sequence data for individuals and populations, the utility traditional single nucleotide polymorphisms (SNPs) array-based genome scans is uncertain. We previously performed a SNP scan to identify candidate genes under selection in six distinct grey wolf (Canis lupus) ecotypes. Using this information, we designed targeted capture array 1040 genes, including all exons flanking regions, as well 5000 1-kb nongenic neutral resequenced these regions 107 wolves. Selection tests revealed striking patterns variation within relative noncandidate identified potentially functional variants related local adaptation. found 27% 47% from previous study had changes that were outliers sweed bayenv analyses, respectively. This result verifies use genomewide surveys tag contain between populations. highlight nonsynonymous APOB, LIPG USH2A occur domains proteins, demonstrate high correlation with precipitation seasonality vegetation. find Arctic High ecotypes have higher numbers selection, which their conservation value heightened threat due climate change. demonstrates combining genotyping arrays large-scale resequencing environmental provides powerful approach discern natural