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A Site- and Time-Heterogeneous Model of Amino Acid Replacement

机译:站点和时间异构的氨基酸替换模型

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We combined the category (CAT) mixture model (Lartillot N, Philippe H. 2004) and the nonstationary break point (BP) model (Blanquart S, Lartillot N. 2006) into a new model, CAT–BP, accounting for variations of the evolutionary process both along the sequence and across lineages. As in CAT, the model implements a mixture of distinct Markovian processes of substitution distributed among sites, thus accommodating site-specific selective constraints induced by protein structure and function. Furthermore, as in BP, these processes are nonstationary, and their equilibrium frequencies are allowed to change along lineages in a correlated way, through discrete shifts in global amino acid composition distributed along the phylogenetic tree. We implemented the CAT–BP model in a Bayesian Markov Chain Monte Carlo framework and compared its predictions with those of 3 simpler models, BP, CAT, and the site- and time-homogeneous general time–reversible (GTR) model, on a concatenation of 4 mitochondrial proteins of 20 arthropod species. In contrast to GTR, BP, and CAT, which all display a phylogenetic reconstruction artifact positioning the bees Apis mellifera and Melipona bicolor among chelicerates, the CAT–BP model is able to recover the monophyly of insects. Using posterior predictive tests, we further show that the CAT–BP combination yields better anticipations of site- and taxon-specific amino acid frequencies and that it better accounts for the homoplasies that are responsible for the artifact. Altogether, our results show that the joint modeling of heterogeneities across sites and along time results in a synergistic improvement of the phylogenetic inference, indicating that it is essential to disentangle the combined effects of both sources of heterogeneity, in order to overcome systematic errors in protein phylogenetic analyses.
机译:我们将类别(CAT)混合模型(Lartillot N,Philippe H. 2004)和非平稳断点(BP)模型(Blanquart S,Lartillot N. 2006)合并为一个新模型CAT–BP,考虑了沿序列和跨谱系的进化过程。就像在CAT中一样,该模型实现了分布在位点之间的独特的马尔可夫过程的混合,从而适应了由蛋白质结构和功能引起的位点特异性选择约束。此外,如在BP中一样,这些过程是非平稳的,并且通过沿着系统发育树分布的全局氨基酸组成的离散移位,可以使它们的平衡频率沿谱系以相关的方式变化。我们在贝叶斯马尔可夫链蒙特卡洛框架中实现了CAT-BP模型,并将其预测与3个更简单的模型BP,CAT以及站点和时间均一的通用时间可逆(GTR)模型的预测进行了比较20种节肢动物的4种线粒体蛋白与GTR,BP和CAT都显示出系统发育的重建假象相比,它们在定殖螯虾中定位了蜜蜂Apis mellifera和Melipona bicolor,而CAT-BP模型则能够恢复昆虫的单系。使用后验预测测试,我们进一步证明CAT-BP组合可更好地预测位点和分类群特异性氨基酸的频率,并更好地说明造成假象的同质性。总而言之,我们的结果表明,跨位点和时间跨度的异质性联合建模可导致系统发生推断的协同改善,这表明有必要弄清两种异质性源的综合作用,以克服蛋白质中的系统错误。系统发育分析。

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