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实验性RNA适应度景观中的负上位性

Negative Epistasis in Experimental RNA Fitness Landscapes.

作者信息

Bendixsen Devin P, Østman Bjørn, Hayden Eric J

机构信息

Biomolecular Sciences Graduate Program, Boise State University, Boise, ID, USA.

Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, 90095, USA.

出版信息

J Mol Evol. 2017 Dec;85(5-6):159-168. doi: 10.1007/s00239-017-9817-5. Epub 2017 Nov 10.

Abstract

Mutations and their effects on fitness are a fundamental component of evolution. The effects of some mutations change in the presence of other mutations, and this is referred to as epistasis. Epistasis can occur between mutations in different genes or within the same gene. A systematic study of epistasis requires the analysis of numerous mutations and their combinations, which has recently become feasible with advancements in DNA synthesis and sequencing. Here we review the mutational effects and epistatic interactions within RNA molecules revealed by several recent high-throughput mutational studies involving two ribozymes studied in vitro, as well as a tRNA and a snoRNA studied in yeast. The data allow an analysis of the distribution of fitness effects of individual mutations as well as combinations of two or more mutations. Two different approaches to measuring epistasis in the data both reveal a predominance of negative epistasis, such that higher combinations of two or more mutations are typically lower in fitness than expected from the effect of each individual mutation. These data are in contrast to past studies of epistasis that used computationally predicted secondary structures of RNA that revealed a predominance of positive epistasis. The RNA data reviewed here are more similar to that found from mutational experiments on individual protein enzymes, suggesting that a common thermodynamic framework may explain negative epistasis between mutations within macromolecules.

摘要

突变及其对适应性的影响是进化的一个基本组成部分。某些突变的影响会在其他突变存在时发生变化,这被称为上位性。上位性可发生在不同基因的突变之间或同一基因内。对上位性进行系统研究需要分析大量突变及其组合,随着DNA合成和测序技术的进步,这一点最近已变得可行。在这里,我们回顾了最近几项高通量突变研究揭示的RNA分子内的突变效应和上位性相互作用,这些研究涉及在体外研究的两种核酶,以及在酵母中研究的一种tRNA和一种snoRNA。这些数据能够分析单个突变以及两个或更多突变组合的适应性效应分布。数据中测量上位性的两种不同方法都揭示了负上位性占主导,即两个或更多突变的更高组合通常在适应性上比每个单个突变的效应所预期的要低。这些数据与过去使用RNA的计算预测二级结构进行的上位性研究形成对比,后者揭示了正上位性占主导。这里回顾的RNA数据与在单个蛋白质酶上进行的突变实验中发现的数据更为相似,这表明一个共同的热力学框架可能解释大分子内突变之间的负上位性。

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