Evolutionary analyses of intrinsically disordered regions reveal widespread signals of conservation.

IF 4.3 2区 生物学
Marc D Singleton, Michael B. Eisen
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Abstract

Intrinsically disordered regions (IDRs) are segments of proteins without stable three-dimensional structures. As this flexibility allows them to interact with diverse binding partners, IDRs play key roles in cell signaling and gene expression. Despite the prevalence and importance of IDRs in eukaryotic proteomes and various biological processes, associating them with specific molecular functions remains a significant challenge due to their high rates of sequence evolution. However, by comparing the observed values of various IDR-associated properties against those generated under a simulated model of evolution, a recent study found most IDRs across the entire yeast proteome contain conserved features. Furthermore, it showed clusters of IDRs with common "evolutionary signatures," i.e. patterns of conserved features, were associated with specific biological functions. To determine if similar patterns of conservation are found in the IDRs of other systems, in this work we applied a series of phylogenetic models to over 7,500 orthologous IDRs identified in the Drosophila genome to dissect the forces driving their evolution. By comparing models of constrained and unconstrained continuous trait evolution using the Brownian motion and Ornstein-Uhlenbeck models, respectively, we identified signals of widespread constraint, indicating conservation of distributed features is mechanism of IDR evolution common to multiple biological systems. In contrast to the previous study in yeast, however, we observed limited evidence of IDR clusters with specific biological functions, which suggests a more complex relationship between evolutionary constraints and function in the IDRs of multicellular organisms.
内在无序区域的进化分析揭示了广泛的保护信号。
本征无序区(IDR)是蛋白质中没有稳定三维结构的片段。由于这种灵活性使它们能够与不同的结合伙伴相互作用,IDRs 在细胞信号传导和基因表达中发挥着关键作用。尽管 IDRs 在真核生物蛋白质组和各种生物过程中非常普遍和重要,但由于其序列进化速度快,将其与特定的分子功能联系起来仍然是一个巨大的挑战。然而,通过比较各种 IDR 相关特性的观测值与模拟进化模型下生成的值,最近的一项研究发现整个酵母蛋白质组中的大多数 IDR 都包含保守的特征。此外,研究还发现具有共同 "进化特征"(即保守特征模式)的 IDRs 簇与特定的生物功能相关。为了确定其他系统的 IDR 是否也有类似的保守模式,在这项研究中,我们对果蝇基因组中发现的 7500 多个同源 IDR 应用了一系列系统发生学模型,以剖析驱动它们进化的力量。通过比较分别使用布朗运动模型和奥恩斯坦-乌伦贝克模型的受约束和无约束连续性状进化模型,我们发现了广泛的受约束信号,表明分布特征的保持是多个生物系统共同的IDR进化机制。然而,与之前在酵母中的研究不同的是,我们观察到的具有特定生物功能的IDR群证据有限,这表明多细胞生物IDR的进化约束与功能之间的关系更为复杂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology 生物-生化研究方法
CiteScore
7.10
自引率
4.70%
发文量
820
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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