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