Deciphering the genomic architecture of the stickleback brain with a novel multi-locus gene-mapping approach
收藏DataONE2020-06-24 更新2025-04-19 收录
下载链接:
https://search.dataone.org/view/sha256:38afff998ef91791a5e9638b832f1b9f07e5caa129c1f198f03b4498c9aae021
下载链接
链接失效反馈官方服务:
资源简介:
Quantitative traits important to organismal function and fitness, such as brain size, are presumably controlled by many small-effect loci. Deciphering the genetic architecture of such traits with traditional quantitative trait locus (QTL) mapping methods is challenging. Here, we investigated the genetic architecture of brain size (and the size of five different brain parts) in nine-spined sticklebacks (Pungitius pungitius) with the aid of novel multi-locus QTL mapping approaches based on a de-biased LASSO method. Apart from having more statistical power to detect QTL and reduced rate of false positives than conventional QTL mapping approaches, the developed methods can handle large marker panels and provide estimates of genomic heritability. Single-locus analyses of an F2-interpopulation cross with 239 individuals and 15 198 fully informative single nucleotide polymorphisms (SNPs) uncovered 79 QTL associated with variation in stickleback brain size traits. Many of these loci were in str...
创建时间:
2025-04-01



