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本文引用的文献

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Synonymous Site-to-Site Substitution Rate Variation Dramatically Inflates False Positive Rates of Selection Analyses: Ignore at Your Own Peril.同义站点间替换率的变化极大地夸大了选择分析的假阳性率:忽视后果自负。
Mol Biol Evol. 2020 Aug 1;37(8):2430-2439. doi: 10.1093/molbev/msaa037.
2
HyPhy 2.5-A Customizable Platform for Evolutionary Hypothesis Testing Using Phylogenies.HyPhy 2.5-A 可定制的基于系统发生树的进化假说检验平台。
Mol Biol Evol. 2020 Jan 1;37(1):295-299. doi: 10.1093/molbev/msz197.
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The distribution of fitness effects among synonymous mutations in a gene under directional selection.在一个受到定向选择的基因中,同义突变的适应度效应分布。
Elife. 2019 Jul 19;8:e45952. doi: 10.7554/eLife.45952.
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RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference.RAxML-NG:用于最大似然系统发育推断的快速、可扩展和用户友好的工具。
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Factors driving effective population size and pan-genome evolution in bacteria.驱动细菌有效种群规模和泛基因组进化的因素。
BMC Evol Biol. 2018 Oct 12;18(1):153. doi: 10.1186/s12862-018-1272-4.
6
Exonic splice regulation imposes strong selection at synonymous sites.外显子剪接调控在同义位点施加了强烈的选择。
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7
Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655.系统发现大肠杆菌 K-12 MG1655 中未表征的转录因子。
Nucleic Acids Res. 2018 Nov 16;46(20):10682-10696. doi: 10.1093/nar/gky752.
8
Multinucleotide mutations cause false inferences of lineage-specific positive selection.多核苷酸突变导致谱系特异性正选择的错误推断。
Nat Ecol Evol. 2018 Aug;2(8):1280-1288. doi: 10.1038/s41559-018-0584-5. Epub 2018 Jul 2.
9
Codon Usage Bias in Animals: Disentangling the Effects of Natural Selection, Effective Population Size, and GC-Biased Gene Conversion.动物中的密码子使用偏好:自然选择、有效种群大小和 GC 偏向性基因转换效应的分解。
Mol Biol Evol. 2018 May 1;35(5):1092-1103. doi: 10.1093/molbev/msy015.
10
Evolutionary determinants of genome-wide nucleotide composition.基因组范围核苷酸组成的进化决定因素。
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同义密码子的弱选择极大地夸大了细菌中的估计值。

Weak selection on synonymous codons substantially inflates estimates in bacteria.

机构信息

Center for Computational Genetics and Genomics, Department of Biology, Temple University, Philadelphia, PA 19122.

Institute for Genomics and Evolutionary Medicine, Department of Biology, Temple University, Philadelphia, PA 19122.

出版信息

Proc Natl Acad Sci U S A. 2021 May 18;118(20). doi: 10.1073/pnas.2023575118.

DOI:10.1073/pnas.2023575118
PMID:33972434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8157954/
Abstract

Synonymous codon substitutions are not always selectively neutral as revealed by several types of analyses, including studies of codon usage patterns among genes. We analyzed codon usage in 13 bacterial genomes sampled from across a large order of bacteria, Enterobacterales, and identified presumptively neutral and selected classes of synonymous substitutions. To estimate substitution rates, given a neutral/selected classification of synonymous substitutions, we developed a flexible [Formula: see text] substitution model that allows multiple classes of synonymous substitutions. Under this multiclass synonymous substitution (MSS) model, the denominator of [Formula: see text] includes only the strictly neutral class of synonymous substitutions. On average, the value of [Formula: see text] under the MSS model was 80% of that under the standard codon model in which all synonymous substitutions are assumed to be neutral. The indication is that conventional [Formula: see text] analyses overestimate these values and thus overestimate the frequency of positive diversifying selection and underestimate the strength of purifying selection. To quantify the strength of selection necessary to explain this reduction, we developed a model of selected compensatory codon substitutions. The reduction in synonymous substitution rate, and thus the contribution that selection makes to codon bias variation among genes, can be adequately explained by very weak selection, with a mean product of population size and selection coefficient, [Formula: see text].

摘要

同义密码子替换并不总是如选择中性所揭示的那样无差别,这可以通过几种类型的分析得到证明,包括对基因中密码子使用模式的研究。我们分析了从细菌目肠杆菌目中采样的 13 个细菌基因组中的密码子使用情况,并确定了假定的中性和选择类同义替换。为了在给定同义替换的中性/选择分类的情况下估计替换率,我们开发了一种灵活的[公式:见文本]替换模型,该模型允许存在多类同义替换。在这个多类同义替换(MSS)模型下,[公式:见文本]的分母仅包括严格的中性同义替换类。平均而言,MSS 模型下[公式:见文本]的值是标准密码子模型(其中所有同义替换均假定为中性)下[公式:见文本]值的 80%。这表明,传统的[公式:见文本]分析高估了这些值,从而高估了正选择和净化选择的频率。为了量化解释这种减少所需的选择强度,我们开发了一种选择补偿性密码子替换的模型。同义替换率的降低,从而导致基因间密码子偏好变异的选择贡献,可以通过非常弱的选择来充分解释,其种群大小和选择系数的乘积为[公式:见文本]。