Sorhannus Ulf, Kosakovsky Pond Sergei L
Department of Biology & Health Services, Edinboro University of Pennsylvania, Edinboro, Pennsylvania 16444, USA.
J Mol Evol. 2006 Aug;63(2):231-9. doi: 10.1007/s00239-006-0016-z. Epub 2006 Jul 7.
Single likelihood ancestor counting (SLAC), fixed effects likelihood (FEL), and several random effects likelihood (REL) methods were utilized to identify positively and negatively selected sites in sexually induced gene 1 (Sig1) of four different Thalassiosira species. The SLAC analysis did not find any sites affected by positive selection but suggested 13 sites influenced by negative selection. The SLAC approach may be too conservative because of low sequence divergence. The FEL and REL analyses revealed over 60 negatively selected sites and two positively selected sites that were unique to each method. The REL method may not be able to reliably identify individual sites under selection when applied to short sequences with low divergence. Instead, we proposed a new alignment-wide test for adaptive evolution based on codon models with variation in synonymous and nonsynonymous substitution rates among sites and found evidence for diversifying evolution without relying on site-by-site testing. The performance of the FEL and REL approaches was evaluated by subjecting the tests to a type I error rate simulation analysis, using the specific characteristics of the Sig1 data set. Simulation results indicated that the FEL test had reasonable Type I errors, while REL might have been too liberal, suggesting that the two positively selected sites identified by FEL (codons 94 and 174) are not likely to be false positives. The evolution of these codon sites, one of which is located in functional domain II, appears to be associated with divergence among the three major Thalassiosira lineages.
采用单似然祖先计数法(SLAC)、固定效应似然法(FEL)以及几种随机效应似然法(REL),来鉴定四种不同硅藻物种的性诱导基因1(Sig1)中受到正选择和负选择的位点。SLAC分析未发现任何受正选择影响的位点,但表明有13个位点受到负选择的影响。由于序列分歧度较低,SLAC方法可能过于保守。FEL和REL分析揭示了60多个受负选择的位点以及两种方法各自特有的两个受正选择的位点。当应用于分歧度较低的短序列时,REL方法可能无法可靠地鉴定出处于选择状态的单个位点。相反,我们基于密码子模型提出了一种新的全序列适应性进化检验方法,该模型允许位点间同义替换率和非同义替换率存在差异,并发现了多样化进化的证据,而无需依赖逐个位点的检验。利用Sig1数据集的特定特征,通过对检验进行I型错误率模拟分析,评估了FEL和REL方法的性能。模拟结果表明,FEL检验的I型错误率合理,而REL可能过于宽松,这表明FEL鉴定出的两个受正选择的位点(密码子94和174)不太可能是假阳性。这些密码子位点的进化,其中一个位于功能域II,似乎与硅藻三个主要谱系之间的分化有关。