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An evolutionary model for protein-coding regions with conserved RNA structure

机译:具有保守RNA结构的蛋白质编码区的进化模型

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Here we present a model of nucleotide substitution in protein-coding regions that also encode the formation of conserved RNA structures. In such regions, apparent evolutionary context dependencies exist, both between nucleotides occupying the same codon and between nucleotides forming a base pair in the RNA structure. The overlap of these fundamental dependencies is sufficient to cause "contagious" context dependencies which cascade across many nucleotide sites. Such large-scale dependencies challenge the use of traditional phylogenetic models in evolutionary inference because they explicitly assume evolutionary independence between short nucleotide tuples. In our model we address this by replacing context dependencies within codons by annotation-specific heterogeneity in the substitution process. Through a general procedure, we fragment the alignment into sets of short nucleotide tuples based on both the protein coding and the structural annotation. These individual tuples are assumed to evolve independently, and the different tuple sets are assigned different annotation-specific substitution models shared between their members. This allows us to build a composite model of the substitution process from components of traditional phylogenetic models. We applied this to a data set of full-genome sequences from the hepatitis C virus where five RNA structures are mapped within the coding region. This allowed us to partition the effects of selection on different structural elements and to test various hypotheses concerning the relation of these effects. Of particular interest, we found evidence of a functional role of loop and bulge regions, as these were shown to evolve according to a different and more constrained selective regime than the nonpairing regions outside the RNA structures. Other potential applications of the model include comparative RNA structure prediction in coding regions and RNA virus phylogenetics.
机译:在这里,我们介绍了蛋白质编码区域中核苷酸取代的模型,该模型也编码保守RNA结构的形成。在这样的区域中,存在明显的进化背景依赖性,在占据相同密码子的核苷酸之间以及在RNA结构中形成碱基对的核苷酸之间。这些基本依赖性的重叠足以引起在许多核苷酸位点上级联的“传染性”上下文依赖性。这种大规模的依赖性挑战了传统系统进化模型在进化推理中的应用,因为它们明确地假定了短核苷酸元组之间的进化独立性。在我们的模型中,我们通过在替换过程中用注释特定的异质性替换密码子中的上下文相关性来解决此问题。通过通用程序,我们基于蛋白质编码和结构注释将比对片段分为短核苷酸元组。假定这些独立的元组独立地演化,并且为不同的元组集分配了在其成员之间共享的不同注释特定的替换模型。这使我们能够从传统的系统发育模型的组件中构建替代过程的复合模型。我们将其应用于来自丙型肝炎病毒的全基因组序列的数据集,其中五个RNA结构被定位在编码区内。这使我们能够将选择对不同结构元素的影响进行划分,并检验关于这些影响之间关系的各种假设。特别令人感兴趣的是,我们发现了环状和凸出区域的功能性作用的证据,因为它们被证明是根据与RNA结构之外的非配对区域不同的,更受约束的选择性机制而进化的。该模型的其他潜在应用包括在编码区进行比较性RNA结构预测和RNA病毒系统发育。

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