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追求最佳进化模型。

Quest for the Best Evolutionary Model.

机构信息

Departamento de Biodiversidad y Biología Evolutiva, Museo Nacional de Ciencias Naturales (MNCN-CSIC), José Gutiérrez Abascal, 2, 28006, Madrid, Spain.

出版信息

J Mol Evol. 2021 Apr;89(3):146-150. doi: 10.1007/s00239-020-09971-z. Epub 2020 Nov 17.

Abstract

In the early 1980s, DNA sequencing became a routine and the increasing computing power opened the door to reconstruct molecular phylogenies using probabilistic approaches. DNA sequence alignments provided a large number of positions containing phylogenetic information, which could be extracted using explicit statistical models that described the mutation process using appropriate parameters. Consequently, an active quest started for building increasingly improved (more realistic) statistical models of nucleotide substitution. The simplest model assumed that nucleotide frequencies were in equilibrium and one single category of substitutions. Subsequent models allowed either unequal nucleotide frequencies or separate rates for transitions and transversions. The HKY85 model (Hasegawa et al. in J Mol Evol 22:160, 1985) combined elegantly both options into a single model, which became one of the most useful ones and has been the choice in many molecular phylogenetic studies ever since. The use of improved substitution models such as HKY85 allows reconstructing more accurate and reliable phylogenies, which in turn provide robust frameworks for understanding how biological diversity evolved and for performing a wealth of comparative studies in different disciplines such as ecology, biogeography, developmental biology, biochemistry, genomics, epidemiology, and biomedicine.

摘要

20 世纪 80 年代初,DNA 测序成为常规操作,计算能力的不断提高为使用概率方法重建分子系统发育开辟了道路。DNA 序列比对提供了大量包含系统发育信息的位置,可以使用明确的统计模型来提取这些信息,这些模型使用适当的参数描述了突变过程。因此,人们开始积极寻求构建越来越改进(更现实)的核苷酸替代统计模型。最简单的模型假设核苷酸频率处于平衡状态且只有一类替代。随后的模型允许核苷酸频率不等或转换和颠换的速率分开。HKY85 模型(Hasegawa 等人,J Mol Evol 22:160, 1985)将这两种选择优雅地结合在一个单一的模型中,该模型成为最有用的模型之一,并自那时以来一直是许多分子系统发育研究的选择。使用改进的替代模型(如 HKY85)可以重建更准确和可靠的系统发育,这反过来又为理解生物多样性的进化以及在生态学、生物地理学、发育生物学、生物化学、基因组学、流行病学和生物医学等不同学科中进行大量比较研究提供了稳健的框架。

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