在选择更为有效的脊椎动物物种中,蛋白质结构域的内在结构紊乱程度更高。

IF 6.4 1区 生物学 Q1 BIOLOGY eLife Pub Date : 2024-09-06 DOI:10.7554/eLife.87335
Catherine A Weibel, Andrew L Wheeler, Jennifer E James, Sara M Willis, Hanon McShea, Joanna Masel
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引用次数: 0

摘要

分子进化的近乎中性理论认为,物种之间的选择效果存在差异。在一个理想化的模型中,普查种群规模既决定了有害变异体被可靠清除所需的选择系数的最小值,也决定了中性多样性的数量。根据经验,"有效种群规模 "通常是根据假定的中性遗传多样性的数量估算的,并假定它也能反映物种的选择效果。选择有效性的一个更直接的衡量标准可能是选择在多大程度上保持了首选密码子。然而,以往比较不同物种之间密码子偏向的指标会受到不同物种之间%GC含量和/或氨基酸组成差异的影响。在此,我们提出了一种新的物种密码子适应指数(CAIS),该指数基于库尔贝克-莱布勒差异,可纠正这两种混杂因素。我们展示了 CAIS 相关性以及有效密码子数的使用,以证明适应性更强的脊椎动物物种的蛋白质结构域会演化出更高的内在结构紊乱。
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The protein domains of vertebrate species in which selection is more effective have greater intrinsic structural disorder.

The nearly neutral theory of molecular evolution posits variation among species in the effectiveness of selection. In an idealized model, the census population size determines both this minimum magnitude of the selection coefficient required for deleterious variants to be reliably purged, and the amount of neutral diversity. Empirically, an 'effective population size' is often estimated from the amount of putatively neutral genetic diversity and is assumed to also capture a species' effectiveness of selection. A potentially more direct measure of the effectiveness of selection is the degree to which selection maintains preferred codons. However, past metrics that compare codon bias across species are confounded by among-species variation in %GC content and/or amino acid composition. Here, we propose a new Codon Adaptation Index of Species (CAIS), based on Kullback-Leibler divergence, that corrects for both confounders. We demonstrate the use of CAIS correlations, as well as the Effective Number of Codons, to show that the protein domains of more highly adapted vertebrate species evolve higher intrinsic structural disorder.

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来源期刊
eLife
eLife BIOLOGY-
CiteScore
12.90
自引率
3.90%
发文量
3122
审稿时长
17 weeks
期刊介绍: eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.
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