Detecting Polygenic Evolution: Problems, Pitfalls, and Promises

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• 作者：Maren Wellenreuther¹ ; ² ; ^{maren.wellenreuther@biol.lu.se" class="auth_mail" title="E-mail the corresponding author} ; Bengt Hansson¹ ; ^{bengt.hansson@biol.lu.se" class="auth_mail" title="E-mail the corresponding author}
• 关键词：phenotypic evolution ; DNA mapping ; functional analysis ; population genomics ; quantitative genetics
• 刊名：Trends in Genetics
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：32
• 期：3
• 页码：155-164
• 全文大小：1779 K

文摘

Unraveling the genetic basis of organismal form and function remains one of the major goals of evolutionary biology. Theory has long supported a model of polygenic evolution in which quantitative traits are underpinned by many genes of small effect, but empirical methods have lacked the power to detect causative loci when effect sizes are small or moderate. We (i) review traditional approaches used for identifying the molecular basis of phenotypic traits, to highlight the inherent problems and pitfalls that bias them towards the detection of large-effect loci. We then (ii) outline the promises of recent statistical frameworks to detect polygenic signatures of trait evolution, and discuss some of the first studies in evolutionary biology employing these approaches. Lastly, we (iii) outline future directions and point to areas that still need development.