进化蛋白质多功能性的内在紊乱和其他可塑武库

IF 2.1 3区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Asifa Aftab, Souradeep Sil, Seema Nath, Anirneya Basu, Sankar Basu
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引用次数: 0

摘要

生物分子功能层面的微观进化是一个持续的过程。在过去几十年中,利用功能和高通量检测以及计算数据挖掘,我们对多功能蛋白质(和基因)家族的了解有了显著的扩展。目前已知的各种分子和分子间机制共同满足了高等生物在进化过程中累积的多功能需求。这种多任务处理能力归功于结构-功能层面一定程度的内在灵活性或适应性。蛋白质结构-功能关系的进化多样性凸显了内在无序蛋白质/区域(IDPs/IDRs)的功能重要性,它们是高度动态的生物软物质。IDPs/IDRs的流体状形状使其能够在与不同分子伙伴结合时发生无序到有序的转变,从而为多功能性提供了有利支持。蛋白质超家族中其他新的可塑性成员,如参与折叠转换的成员,也会发生结构转变。这一新观点与酶类功能单一性的所有传统观念不同,它强调的是蛋白质功能的复杂性和多层次多样性。然而,目前还缺少这方面的全面综述,重点是与蛋白质进化的多功能性相关的灵活性和功能驱动的结构转变。本综述试图填补这一空白,同时将多功能性的范围扩大到单一蛋白质序列之外。文章认为,蛋白质的内在无序性可能是表达蛋白质多功能性的最显著机制。文章还通过现象学类比来说明现代数字生活日益复杂的本质,这种复杂性是由多任务处理的需求驱动的,尤其是涉及媒体的多任务处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intrinsic Disorder and Other Malleable Arsenals of Evolved Protein Multifunctionality.

Intrinsic Disorder and Other Malleable Arsenals of Evolved Protein Multifunctionality.

Microscopic evolution at the functional biomolecular level is an ongoing process. Leveraging functional and high-throughput assays, along with computational data mining, has led to a remarkable expansion of our understanding of multifunctional protein (and gene) families over the past few decades. Various molecular and intermolecular mechanisms are now known that collectively meet the cumulative multifunctional demands in higher organisms along an evolutionary path. This multitasking ability is attributed to a certain degree of intrinsic or adapted flexibility at the structure-function level. Evolutionary diversification of structure-function relationships in proteins highlights the functional importance of intrinsically disordered proteins/regions (IDPs/IDRs) which are highly dynamic biological soft matter. Multifunctionality is favorably supported by the fluid-like shapes of IDPs/IDRs, enabling them to undergo disorder-to-order transitions upon binding to different molecular partners. Other new malleable members of the protein superfamily, such as those involved in fold-switching, also undergo structural transitions. This new insight diverges from all traditional notions of functional singularity in enzyme classes and emphasizes a far more complex, multi-layered diversification of protein functionality. However, a thorough review in this line, focusing on flexibility and function-driven structural transitions related to evolved multifunctionality in proteins, is currently missing. This review attempts to address this gap while broadening the scope of multifunctionality beyond single protein sequences. It argues that protein intrinsic disorder is likely the most striking mechanism for expressing multifunctionality in proteins. A phenomenological analogy has also been drawn to illustrate the increasingly complex nature of modern digital life, driven by the need for multitasking, particularly involving media.

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来源期刊
Journal of Molecular Evolution
Journal of Molecular Evolution 生物-进化生物学
CiteScore
5.50
自引率
2.60%
发文量
36
审稿时长
3 months
期刊介绍: Journal of Molecular Evolution covers experimental, computational, and theoretical work aimed at deciphering features of molecular evolution and the processes bearing on these features, from the initial formation of macromolecular systems through their evolution at the molecular level, the co-evolution of their functions in cellular and organismal systems, and their influence on organismal adaptation, speciation, and ecology. Topics addressed include the evolution of informational macromolecules and their relation to more complex levels of biological organization, including populations and taxa, as well as the molecular basis for the evolution of ecological interactions of species and the use of molecular data to infer fundamental processes in evolutionary ecology. This coverage accommodates such subfields as new genome sequences, comparative structural and functional genomics, population genetics, the molecular evolution of development, the evolution of gene regulation and gene interaction networks, and in vitro evolution of DNA and RNA, molecular evolutionary ecology, and the development of methods and theory that enable molecular evolutionary inference, including but not limited to, phylogenetic methods.
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