Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA.
PLoS Genet. 2011 Apr;7(4):e1002053. doi: 10.1371/journal.pgen.1002053. Epub 2011 Apr 28.
Transcription factor binding site(s) (TFBS) gain and loss (i.e., turnover) is a well-documented feature of cis-regulatory module (CRM) evolution, yet little attention has been paid to the evolutionary force(s) driving this turnover process. The predominant view, motivated by its widespread occurrence, emphasizes the importance of compensatory mutation and genetic drift. Positive selection, in contrast, although it has been invoked in specific instances of adaptive gene expression evolution, has not been considered as a general alternative to neutral compensatory evolution. In this study we evaluate the two hypotheses by analyzing patterns of single nucleotide polymorphism in the TFBS of well-characterized CRM in two closely related Drosophila species, Drosophila melanogaster and Drosophila simulans. An important feature of the analysis is classification of TFBS mutations according to the direction of their predicted effect on binding affinity, which allows gains and losses to be evaluated independently along the two phylogenetic lineages. The observed patterns of polymorphism and divergence are not compatible with neutral evolution for either class of mutations. Instead, multiple lines of evidence are consistent with contributions of positive selection to TFBS gain and loss as well as purifying selection in its maintenance. In discussion, we propose a model to reconcile the finding of selection driving TFBS turnover with constrained CRM function over long evolutionary time.
转录因子结合位点(TFBS)的获得和丢失(即 turnover)是顺式调控模块(CRM)进化的一个有据可查的特征,但很少有人关注驱动这个 turnover 过程的进化力量。主要观点是基于其广泛发生的情况,强调了补偿突变和遗传漂变的重要性。相比之下,虽然正选择在特定的适应性基因表达进化实例中被援引,但它并没有被视为对中性补偿进化的一般替代。在这项研究中,我们通过分析两个密切相关的果蝇物种(果蝇和果蝇 simulans)中经过充分研究的 CRM 的 TFBS 中的单核苷酸多态性模式来评估这两个假说。分析的一个重要特点是根据它们对结合亲和力预测影响的方向对 TFBS 突变进行分类,这允许沿着两个进化谱系独立地评估增益和损失。观察到的多态性和分歧模式与中性进化都不兼容,无论是哪种突变类型。相反,有多种证据表明正选择对 TFBS 的获得和丢失以及维持它的纯化选择都有贡献。在讨论中,我们提出了一个模型来调和选择驱动 TFBS turnover 的发现与长期进化中受约束的 CRM 功能。