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RNA结构的系统发育与进化

Phylogeny and evolution of RNA structure.

作者信息

Gesell Tanja, Schuster Peter

机构信息

Department of Structural and Computational Biology, University of Vienna, Vienna, Austria.

出版信息

Methods Mol Biol. 2014;1097:319-78. doi: 10.1007/978-1-62703-709-9_16.

Abstract

Darwin's conviction that all living beings on Earth are related and the graph of relatedness is tree-shaped has been essentially confirmed by phylogenetic reconstruction first from morphology and later from data obtained by molecular sequencing. Limitations of the phylogenetic tree concept were recognized as more and more sequence information became available. The other path-breaking idea of Darwin, natural selection of fitter variants in populations, is cast into simple mathematical form and extended to mutation-selection dynamics. In this form the theory is directly applicable to RNA evolution in vitro and to virus evolution. Phylogeny and population dynamics of RNA provide complementary insights into evolution and the interplay between the two concepts will be pursued throughout this chapter. The two strategies for understanding evolution are ultimately related through the central paradigm of structural biology: sequence ⇒ structure ⇒ function. We elaborate on the state of the art in modeling both phylogeny and evolution of RNA driven by reproduction and mutation. Thereby the focus will be laid on models for phylogenetic sequence evolution as well as evolution and design of RNA structures with selected examples and notes on simulation methods. In the perspectives an attempt is made to combine molecular structure, population dynamics, and phylogeny in modeling evolution.

摘要

达尔文认为地球上所有生物都相互关联且这种关联性图谱呈树形,这一观点已基本通过系统发育重建得到证实,最初是基于形态学,后来则是依据分子测序获得的数据。随着越来越多的序列信息可用,人们认识到了系统发育树概念的局限性。达尔文的另一个开创性观点,即种群中更适应的变体的自然选择,被转化为简单的数学形式,并扩展到突变 - 选择动力学。以这种形式,该理论可直接应用于体外RNA进化和病毒进化。RNA的系统发育和种群动态为进化提供了互补的见解,本章将探讨这两个概念之间的相互作用。理解进化的两种策略最终通过结构生物学的核心范式联系在一起:序列⇒结构⇒功能。我们详细阐述了在模拟由复制和突变驱动的RNA系统发育和进化方面的最新技术水平。因此,重点将放在系统发育序列进化模型以及RNA结构的进化和设计上,并辅以实例和模拟方法的说明。在展望部分,我们尝试在进化建模中结合分子结构、种群动态和系统发育。

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