five

Data from: Artificial selection to increase the phenotypic variance in gmax fails

收藏
DataONE2017-06-12 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
官方服务:
资源简介:
Stabilizing selection is important in evolutionary theories of the maintenance of genetic variance, and has been invoked as the key process determining macro-evolutionary patterns of trait evolution. However, manipulative evidence for the extent of stabilizing selection, particularly on multivariate trait combinations is lacking. We used artificial disruptive selection in Drosophila serrata as a tool to determine the relative strength of stabilizing selection experienced by multivariate trait combinations with contrasting levels of genetic and mutational variance. Contrary to expectation, when disruptive selection was applied to the major axis of standing genetic variance, we observed a significant and repeatable decrease in its phenotypic variance. In contrast, the trait combination predicted to be under strong stabilizing selection, showed a significant and repeatable increase in its phenotypic variance. Correlated responses were observed in all selection treatments, and viability selection operating on extreme phenotypes of traits genetically correlated with those directly selected upon limited our ability to increase their phenotypic range. Our manipulation revealed that multivariate trait combinations were subject to stabilizing selection; however, we did not observe a direct relationship between the strength of stabilizing selection and the levels of standing genetic variance. Contrasting patterns of allele frequencies underlying traits with high vs. low levels of standing genetic variance may be implicated in determining the response to artificial selection in multivariate trait combinations.
创建时间:
2017-06-12
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