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首页> 外文期刊>Genetics: A Periodical Record of Investigations Bearing on Heredity and Variation >A novel method for detecting intramolecular coevolution: adding a further dimension to selective constraints analyses.
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A novel method for detecting intramolecular coevolution: adding a further dimension to selective constraints analyses.

机译:一种检测分子内协同进化的新方法:在选择性约束分析中增加一个维度。

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摘要

Protein evolution depends on intramolecular coevolutionary networks whose complexity is proportional to the underlying functional and structural interactions among sites. Here we present a novel approach that vastly improves the sensitivity of previous methods for detecting coevolution through a weighted comparison of divergence between amino acid sites. The analysis of the HIV-1 Gag protein detected convergent adaptive coevolutionary events responsible for the selective variability emerging between subtypes. Coevolution analysis and functional data for heat-shock proteins, Hsp90 and GroEL, highlight that almost all detected coevolving sites are functionally or structurally important. The results support previous suggestions pinpointing the complex interdomain functional interactions within these proteins and we propose new amino acid sites as important for interdomain functional communication. Three-dimensional information sheds light on the functional and structural constraints governing the coevolution between sites. Our covariation analyses propose two types of coevolving sites in agreement with previous reports: pairs of sites spatially proximal, where compensatory mutations could maintain the local structure stability, and clusters of distant sites located in functional domains, suggesting a functional dependency between them. All sites detected under adaptive evolution in these proteins belong to coevolution groups, further underlining the importance of testing for coevolution in selective constraints analyses.
机译:蛋白质的进化取决于分子内的协同进化网络,其复杂度与位点之间潜在的功能和结构相互作用成正比。在这里,我们提出了一种新颖的方法,通过加权比较氨基酸位点之间的差异,大大提高了先前检测共进化方法的灵敏度。对HIV-1 Gag蛋白的分析检测到收敛的适应性共进化事件,这些事件是造成亚型之间选择性变异的原因。热休克蛋白Hsp90和GroEL的协同进化分析和功能数据突出表明,几乎所有检测到的协同进化位点在功能上或结构上都很重要。结果支持以前的建议,指出这些蛋白质内复杂的域间功能相互作用,我们建议新的氨基酸位点对于域间功能通讯很重要。三维信息揭示了控制站点之间协同进化的功能和结构约束。我们的协变分析提出了两种类型的共同进化位点,与先前的报告一致:成对的空间近端位点,其中补偿性突变可以维持局部结构稳定性,以及位于功能域的远距离位点簇,表明它们之间存在功能依赖性。在这些蛋白质的适应性进化下检测到的所有位点均属于协同进化组,这进一步强调了在选择性约束分析中测试协同进化的重要性。

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