Suppr超能文献

对自然种群进行Q(ST)-F(ST)比较有意义吗?

Are Q(ST)-F(ST) comparisons for natural populations meaningful?

作者信息

Pujol B, Wilson A J, Ross R I C, Pannell J R

机构信息

Department of Plant Sciences, University of Oxford, Oxford, UK.

出版信息

Mol Ecol. 2008 Nov;17(22):4782-5. doi: 10.1111/j.1365-294X.2008.03958.x.

Abstract

Comparisons between putatively neutral genetic differentiation amongst populations, F(ST), and quantitative genetic variation, Q(ST), are increasingly being used to test for natural selection. However, we find that approximately half of the comparisons that use only data from wild populations confound phenotypic and genetic variation. We urge the use of a clear distinction between narrow-sense Q(ST), which can be meaningfully compared with F(ST), and phenotypic divergence measured between populations, P(ST), which is inadequate for comparisons in the wild. We also point out that an unbiased estimate of Q(ST) can be found using the so-called 'animal model' of quantitative genetics.

摘要

群体间假定中性的遗传分化(F(ST))与数量遗传变异(Q(ST))之间的比较越来越多地被用于检验自然选择。然而,我们发现,仅使用野生群体数据的比较中,约有一半混淆了表型和遗传变异。我们敦促明确区分狭义的Q(ST)(可与F(ST)进行有意义的比较)和群体间测量的表型分化(P(ST)),后者在野外比较中并不适用。我们还指出,使用数量遗传学的所谓“动物模型”可以找到Q(ST)的无偏估计。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验