five

Raw nucleotide counts for clinal Misty Lake and stream stickleback samples

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.c59zw3r67
下载链接
链接失效反馈
官方服务:
资源简介:
How ecological divergence causes strong reproductive isolation between populations in close geographic contact remains poorly understood at the genomic level. We here study this question in a stickleback fish population pair adapted to contiguous, ecologically different lake and stream habitats. Clinal whole-genome sequence data reveal numerous genome regions (nearly) fixed for alternative alleles over a distance of just a few hundred meters. This strong polygenic adaptive divergence must constitute a genome-wide barrier to gene flow because a steep cline in allele frequencies is observed across the entire genome, and because the cline center co-localizes with the habitat transition. Simulations confirm that such strong divergence can be maintained by polygenic selection despite high dispersal and small per-locus selection coefficients. Finally, comparing samples from near the habitat transition before and after an unusual ecological perturbation demonstrates the fragility of the balance between gene flow and selection. Overall, our study highlights the efficacy of divergent selection in maintaining reproductive isolation without physical isolation, and the analytical power of studying speciation at a fine eco-geographic and genomic scale.   Methods This data set contains raw nucleotide counts across all genome-wide base positions for 13 total clinal stickleback field samples from the Misty Lake watershed on Vancouver Island, Canada (11 different clinal locations; one location is represented by 3 temporal replicates). Each sample represents a DNA pool obtained by combining equimolar DNA from dozens of individuals. The samples were Illumina-sequenced and aligned to the stickleback reference genome. Finally, the nucleotide counts were generated with the pileup R function applied to each of the 13 alignments.
创建时间:
2020-12-04
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作