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额外的安打:对瞬时多核苷酸变化的广泛实证支持。

Extra base hits: Widespread empirical support for instantaneous multiple-nucleotide changes.

作者信息

Lucaci Alexander G, Wisotsky Sadie R, Shank Stephen D, Weaver Steven, Kosakovsky Pond Sergei L

机构信息

Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States of America.

出版信息

PLoS One. 2021 Mar 12;16(3):e0248337. doi: 10.1371/journal.pone.0248337. eCollection 2021.

Abstract

Despite many attempts to introduce evolutionary models that permit substitutions to instantly alter more than one nucleotide in a codon, the prevailing wisdom remains that such changes are rare and generally negligible or are reflective of non-biological artifacts, such as alignment errors. Codon models continue to posit that only single nucleotide change have non-zero rates. Here, we develop and test a simple hierarchy of codon-substitution models with non-zero evolutionary rates for only one-nucleotide (1H), one- and two-nucleotide (2H), or any (3H) codon substitutions. Using over 42, 000 empirical alignments, we find widespread statistical support for multiple hits: 61% of alignments prefer models with 2H allowed, and 23%-with 3H allowed. Analyses of simulated data suggest that these results are not likely to be due to simple artifacts such as model misspecification or alignment errors. Further modeling reveals that synonymous codon island jumping among codons encoding serine, especially along short branches, contributes significantly to this 3H signal. While serine codons were prominently involved in multiple-hit substitutions, there were other common exchanges contributing to better model fit. It appears that a small subset of sites in most alignments have unusual evolutionary dynamics not well explained by existing model formalisms, and that commonly estimated quantities, such as dN/dS ratios may be biased by model misspecification. Our findings highlight the need for continued evaluation of assumptions underlying workhorse evolutionary models and subsequent evolutionary inference techniques. We provide a software implementation for evolutionary biologists to assess the potential impact of extra base hits in their data in the HyPhy package and in the Datamonkey.org server.

摘要

尽管人们多次尝试引入允许替换瞬间改变密码子中多个核苷酸的进化模型,但普遍的观点仍然是,这种变化很少见,通常可以忽略不计,或者反映的是非生物学假象,比如比对错误。密码子模型仍然假定只有单核苷酸变化具有非零速率。在此,我们开发并测试了一个简单的密码子替换模型层次结构,该模型对于单核苷酸(1H)、单核苷酸和双核苷酸(2H)或任何(3H)密码子替换具有非零进化速率。使用超过42000个经验比对,我们发现对多次击中存在广泛的统计支持:61%的比对更倾向于允许2H的模型,23%的比对更倾向于允许3H的模型。对模拟数据的分析表明,这些结果不太可能归因于简单的假象,比如模型错误设定或比对错误。进一步的建模显示,编码丝氨酸的密码子之间同义密码子岛跳跃,尤其是沿着短分支的跳跃,对这个3H信号有显著贡献。虽然丝氨酸密码子在多次击中替换中显著参与,但还有其他常见的替换有助于更好地拟合模型。看来大多数比对中的一小部分位点具有不寻常的进化动态,现有模型形式无法很好地解释,而且通常估计的量,比如dN/dS比率可能会因模型错误设定而有偏差。我们的发现凸显了持续评估常用进化模型以及后续进化推断技术所依据假设的必要性。我们为进化生物学家提供了一个软件实现,以便在HyPhy软件包和Datamonkey.org服务器中评估其数据中额外碱基击中的潜在影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/175c/7954308/af10a2770cf8/pone.0248337.g001.jpg

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