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节律性与蛋白质水平的表达成本有关,但与 mRNA 水平的表达精度有关。

Rhythmicity is linked to expression cost at the protein level but to expression precision at the mRNA level.

机构信息

Department of Ecology and Evolution, Batiment Biophore, Quartier UNIL-Sorge, Université de Lausanne, Lausanne, Switzerland.

Swiss Institute of Bioinformatics, Batiment Génopode, Quartier UNIL-Sorge, Université de Lausanne, Lausanne, Switzerland.

出版信息

PLoS Comput Biol. 2022 Sep 12;18(9):e1010399. doi: 10.1371/journal.pcbi.1010399. eCollection 2022 Sep.

Abstract

Many genes have nycthemeral rhythms of expression, i.e. a 24-hours periodic variation, at either mRNA or protein level or both, and most rhythmic genes are tissue-specific. Here, we investigate and discuss the evolutionary origins of rhythms in gene expression. Our results suggest that rhythmicity of protein expression could have been favored by selection to minimize costs. Trends are consistent in bacteria, plants and animals, and are also supported by tissue-specific patterns in mouse. Unlike for protein level, cost cannot explain rhythm at the RNA level. We suggest that instead it allows to periodically reduce expression noise. Noise control had the strongest support in mouse, with limited evidence in other species. We have also found that genes under stronger purifying selection are rhythmically expressed at the mRNA level, and we propose that this is because they are noise sensitive genes. Finally, the adaptive role of rhythmic expression is supported by rhythmic genes being highly expressed yet tissue-specific. This provides a good evolutionary explanation for the observation that nycthemeral rhythms are often tissue-specific.

摘要

许多基因的表达具有昼夜节律,即在 mRNA 或蛋白质水平或两者都有 24 小时的周期性变化,而且大多数有节律的基因都是组织特异性的。在这里,我们研究和讨论了基因表达节律的进化起源。我们的研究结果表明,蛋白质表达的节律性可能是通过选择来最小化成本而得到青睐的。这种趋势在细菌、植物和动物中是一致的,并且在小鼠的组织特异性模式中也得到了支持。与蛋白质水平不同,成本不能解释 RNA 水平的节律性。我们认为,相反,它可以周期性地降低表达噪声。在小鼠中,噪声控制得到了最强有力的支持,而在其他物种中的证据有限。我们还发现,受到更强纯化选择的基因在 mRNA 水平上具有节律性表达,我们提出这是因为它们是对噪声敏感的基因。最后,节律性表达的适应性作用得到了支持,即节律性表达的基因高度表达但具有组织特异性。这为昼夜节律通常是组织特异性的观察结果提供了一个很好的进化解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9518874/34fafb05eca8/pcbi.1010399.g001.jpg

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