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普遍的上位性揭示了适应性酶进化中的分子内网络。

Pervasive epistasis exposes intramolecular networks in adaptive enzyme evolution.

机构信息

Michael Smith Laboratories, University of British Columbia, Vancouver, Canada.

出版信息

Nat Commun. 2023 Dec 21;14(1):8508. doi: 10.1038/s41467-023-44333-5.

Abstract

Enzyme evolution is characterized by constant alterations of the intramolecular residue networks supporting their functions. The rewiring of these network interactions can give rise to epistasis. As mutations accumulate, the epistasis observed across diverse genotypes may appear idiosyncratic, that is, exhibit unique effects in different genetic backgrounds. Here, we unveil a quantitative picture of the prevalence and patterns of epistasis in enzyme evolution by analyzing 41 fitness landscapes generated from seven enzymes. We show that >94% of all mutational and epistatic effects appear highly idiosyncratic, which greatly distorted the functional prediction of the evolved enzymes. By examining seemingly idiosyncratic changes in epistasis along adaptive trajectories, we expose several instances of higher-order, intramolecular rewiring. Using complementary structural data, we outline putative molecular mechanisms explaining higher-order epistasis along two enzyme trajectories. Our work emphasizes the prevalence of epistasis and provides an approach to exploring this phenomenon through a molecular lens.

摘要

酶进化的特点是支持其功能的分子内残基网络不断发生改变。这些网络相互作用的重新布线可能会产生上位性。随着突变的积累,在不同基因型中观察到的上位性可能显得特殊,即在不同的遗传背景下表现出独特的影响。在这里,我们通过分析来自七种酶的 41 个适合度景观,揭示了酶进化中上位性的普遍性和模式的定量描述。我们表明,超过 94%的所有突变和上位性效应都表现出高度的特殊性,这极大地扭曲了对进化酶的功能预测。通过检查适应性轨迹中看似特殊的上位性变化,我们揭示了一些更高阶的、分子内的重新布线实例。使用互补的结构数据,我们概述了沿着两条酶轨迹解释高阶上位性的可能分子机制。我们的工作强调了上位性的普遍性,并提供了一种通过分子视角探索这种现象的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e92/10739712/e8cec966f365/41467_2023_44333_Fig1_HTML.jpg

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