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A formal perturbation equation between genotype and phenotype determines the Evolutionary Action of protein-coding variations on fitness

机译:基因型和表型之间的形式微扰方程决定了蛋白质编码变异对适应性的进化作用

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The relationship between genotype mutations and phenotype variations determines health in the short term and evolution over the long term, and it hinges on the action of mutations on fitness. A fundamental difficulty in determining this action, however, is that it depends on the unique context of each mutation, which is complex and often cryptic. As a result, the effect of most genome variations on molecular function and overall fitness remains unknown and stands apart from population genetics theories linking fitness effect to polymorphism frequency. Here, we hypothesize that evolution is a continuous and differentiable physical process coupling genotype to phenotype. This leads to a formal equation for the action of coding mutations on fitness that can be interpreted as a product of the evolutionary importance of the mutated site with the difference in amino acid similarity. Approximations for these terms are readily computable from phylogenetic sequence analysis, and we show mutational, clinical, and population genetic evidence that this action equation predicts the effect of point mutations in vivo and in vitro in diverse proteins, correlates disease-causing gene mutations with morbidity, and determines the frequency of human coding polymorphisms, respectively. Thus, elementary calculus and phylogenetics can be integrated into a perturbation analysis of the evolutionary relationship between genotype and phenotype that quantitatively links point mutations to function and fitness and that opens a new analytic framework for equations of biology. In practice, this work explicitly bridges molecular evolution with population genetics with applications from protein redesign to the clinical assessment of human genetic variations.
机译:基因型突变与表型变异之间的关系决定了短期内的健康状况以及长期的演变,这取决于突变对适应性的作用。但是,确定此操作的基本困难在于,它取决于每个突变的独特背景,这是复杂的且通常是隐秘的。结果,大多数基因组变异对分子功能和整体适应性的影响仍然未知,并且与将适应性效应与多态性频率联系起来的群体遗传学理论相去甚远。在这里,我们假设进化是将基因型与表型耦合的连续且可区分的物理过程。这导致了编码突变对适应性的作用的正式方程式,该方程式可以解释为突变位点的进化重要性与氨基酸相似性差异的乘积。这些术语的近似值很容易从系统发育序列分析中计算得出,并且我们显示出突变,临床和群体遗传学证据,表明该作用方程预测了体内和体外不同蛋白质中点突变的影响,并将致病基因突变与发病率相关联,并分别确定人类编码多态性的频率。因此,基本演算和系统发育学可以整合到对基因型和表型之间进化关系的扰动分析中,该关系将点突变与功能和适应性定量地联系起来,并为生物学方程式打开了新的分析框架。在实践中,这项工作明确地将分子进化与种群遗传学联系起来,应用范围从蛋白质重新设计到人类遗传变异的临床评估。

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