Suppr超能文献

通过新一代视角审视蛋白质适应性景观。

Viewing protein fitness landscapes through a next-gen lens.

作者信息

Boucher Jeffrey I, Cote Pamela, Flynn Julia, Jiang Li, Laban Aneth, Mishra Parul, Roscoe Benjamin P, Bolon Daniel N A

机构信息

Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605.

Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605

出版信息

Genetics. 2014 Oct;198(2):461-71. doi: 10.1534/genetics.114.168351.

Abstract

High-throughput sequencing has enabled many powerful approaches in biological research. Here, we review sequencing approaches to measure frequency changes within engineered mutational libraries subject to selection. These analyses can provide direct estimates of biochemical and fitness effects for all individual mutations across entire genes (and likely compact genomes in the near future) in genetically tractable systems such as microbes, viruses, and mammalian cells. The effects of mutations on experimental fitness can be assessed using sequencing to monitor time-dependent changes in mutant frequency during bulk competitions. The impact of mutations on biochemical functions can be determined using reporters or other means of separating variants based on individual activities (e.g., binding affinity for a partner molecule can be interrogated using surface display of libraries of mutant proteins and isolation of bound and unbound populations). The comprehensive investigation of mutant effects on both biochemical function and experimental fitness provide promising new avenues to investigate the connections between biochemistry, cell physiology, and evolution. We summarize recent findings from systematic mutational analyses; describe how they relate to a field rich in both theory and experimentation; and highlight how they may contribute to ongoing and future research into protein structure-function relationships, systems-level descriptions of cell physiology, and population-genetic inferences on the relative contributions of selection and drift.

摘要

高通量测序在生物学研究中催生了许多强大的方法。在此,我们综述了用于测量经过选择的工程突变文库中频率变化的测序方法。这些分析能够直接估计在诸如微生物、病毒和哺乳动物细胞等遗传易处理系统中,整个基因(以及在不久的将来可能是紧凑基因组)内所有单个突变的生化和适应性效应。可以通过测序来监测批量竞争期间突变频率随时间的变化,从而评估突变对实验适应性的影响。可以使用报告基因或基于个体活性分离变体的其他方法(例如,通过突变蛋白文库的表面展示以及结合和未结合群体的分离来探究对伴侣分子的结合亲和力)来确定突变对生化功能的影响。对突变在生化功能和实验适应性两方面效应的全面研究为探究生物化学、细胞生理学和进化之间的联系提供了有前景的新途径。我们总结了系统突变分析的最新发现;描述了它们与一个理论和实验都丰富的领域的关系;并强调了它们如何可能有助于正在进行的以及未来关于蛋白质结构 - 功能关系、细胞生理学的系统水平描述以及选择和漂变相对贡献的群体遗传学推断的研究。

相似文献

3
Mutational fitness landscape and drug resistance.突变适应性景观与耐药性。
Curr Opin Struct Biol. 2023 Feb;78:102525. doi: 10.1016/j.sbi.2022.102525. Epub 2023 Jan 6.
5
A Statistical Guide to the Design of Deep Mutational Scanning Experiments.深度突变扫描实验设计的统计学指南
Genetics. 2016 Sep;204(1):77-87. doi: 10.1534/genetics.116.190462. Epub 2016 Jul 13.
6
The mutation matrix and the evolution of evolvability.突变矩阵与进化能力的演变。
Evolution. 2007 Apr;61(4):727-45. doi: 10.1111/j.1558-5646.2007.00071.x.
7
Biological fitness landscapes by deep mutational scanning.深度突变扫描的生物适应性景观。
Methods Enzymol. 2020;643:203-224. doi: 10.1016/bs.mie.2020.04.023. Epub 2020 May 5.
10
Evolutionary mechanisms studied through protein fitness landscapes.通过蛋白质适应度景观研究进化机制。
Curr Opin Struct Biol. 2018 Feb;48:141-148. doi: 10.1016/j.sbi.2018.01.001. Epub 2018 Jan 30.

引用本文的文献

5
Evolutionary Pathways and Trajectories in Antibiotic Resistance.抗生素耐药性的进化途径和轨迹。
Clin Microbiol Rev. 2021 Dec 15;34(4):e0005019. doi: 10.1128/CMR.00050-19. Epub 2021 Jun 30.

本文引用的文献

5
6
Edgotype: a fundamental link between genotype and phenotype.突型:基因型与表型之间的基本联系。
Curr Opin Genet Dev. 2013 Dec;23(6):649-57. doi: 10.1016/j.gde.2013.11.002. Epub 2013 Nov 26.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验