Suppr超能文献

RNA 进化中的简并和遗传同化。

Degeneracy and genetic assimilation in RNA evolution.

机构信息

University of Virginia Biocomplexity Institute, 995 Research Park Boulevard, Charlottesville, 22911, USA.

Department of Mathematics, University of Virginia, 141 Cabell Drive, Charlottesville, 22904, USA.

出版信息

BMC Bioinformatics. 2018 Dec 27;19(1):543. doi: 10.1186/s12859-018-2497-3.

Abstract

BACKGROUND

The neutral theory of Motoo Kimura stipulates that evolution is mostly driven by neutral mutations. However adaptive pressure eventually leads to changes in phenotype that involve non-neutral mutations. The relation between neutrality and adaptation has been studied in the context of RNA before and here we further study transitional mutations in the context of degenerate (plastic) RNA sequences and genetic assimilation. We propose quasineutral mutations, i.e. mutations which preserve an element of the phenotype set, as minimal mutations and study their properties. We also propose a general probabilistic interpretation of genetic assimilation and specialize it to the Boltzmann ensemble of RNA sequences.

RESULTS

We show that degenerate sequences i.e. sequences with more than one structure at the MFE level have the highest evolvability among all sequences and are central to evolutionary innovation. Degenerate sequences also tend to cluster together in the sequence space. The selective pressure in an evolutionary simulation causes the population to move towards regions with more degenerate sequences, i.e. regions at the intersection of different neutral networks, and this causes the number of such sequences to increase well beyond the average percentage of degenerate sequences in the sequence space. We also observe that evolution by quasineutral mutations tends to conserve the number of base pairs in structures and thereby maintains structural integrity even in the presence of pressure to the contrary.

CONCLUSIONS

We conclude that degenerate RNA sequences play a major role in evolutionary adaptation.

摘要

背景

木原正儿的中性理论规定,进化主要是由中性突变驱动的。然而,适应压力最终会导致表型发生变化,涉及非中性突变。中性和适应性之间的关系在 RNA 背景下已经进行了研究,在这里我们进一步研究了退化(可塑性)RNA 序列和遗传同化背景下的转换突变。我们提出拟中性突变,即保留表型集元素的突变,作为最小突变,并研究它们的性质。我们还提出了遗传同化的一般概率解释,并将其专门应用于 RNA 序列的玻尔兹曼系综。

结果

我们表明,退化序列(即在 MFE 水平上具有多个结构的序列)在所有序列中具有最高的可进化性,是进化创新的核心。退化序列在序列空间中也往往聚集在一起。进化模拟中的选择压力导致种群向具有更多退化序列的区域移动,即不同中性网络的交点区域,这导致此类序列的数量大大超过序列空间中退化序列的平均百分比。我们还观察到,拟中性突变的进化倾向于保持结构中的碱基对数量,从而即使在相反的压力下也保持结构的完整性。

结论

我们得出结论,退化的 RNA 序列在进化适应中起着重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bb3/6307299/f7f18039fdc6/12859_2018_2497_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验