Using yeasts for the studies of nonfunctional factors in protein evolution.
IF 2.2 4区 生物学Q4 BIOCHEMISTRY & MOLECULAR BIOLOGYYeastPub Date : 2024-09-01Epub Date: 2024-06-19DOI:10.1002/yea.3970
Katarzyna Potera, Katarzyna Tomala
{"title":"Using yeasts for the studies of nonfunctional factors in protein evolution.","authors":"Katarzyna Potera, Katarzyna Tomala","doi":"10.1002/yea.3970","DOIUrl":null,"url":null,"abstract":"<p><p>The evolution of protein sequence is driven not only by factors directly related to protein function and shape but also by nonfunctional factors. Such factors in protein evolution might be categorized as those connected to energetic costs, synthesis efficiency, and avoidance of misfolding and toxicity. A common approach to studying them is correlational analysis contrasting them with some characteristics of the protein, like amino acid composition, but these features are interdependent. To avoid possible bias, empirical studies are needed, and not enough work has been done to date. In this review, we describe the role of nonfunctional factors in protein evolution and present an experimental approach using yeast as a suitable model organism. The focus of the proposed approach is on the potential negative impact on the fitness of mutations that change protein properties not related to function and the frequency of mutations that change these properties. Experimental results of testing the misfolding avoidance hypothesis as an explanation for why highly expressed proteins evolve slowly are inconsistent with correlational research results. Therefore, more efforts should be made to empirically test the effects of nonfunctional factors in protein evolution and to contrast these results with the results of the correlational analysis approach.</p>","PeriodicalId":23870,"journal":{"name":"Yeast","volume":" ","pages":"529-536"},"PeriodicalIF":2.2000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Yeast","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/yea.3970","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/19 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The evolution of protein sequence is driven not only by factors directly related to protein function and shape but also by nonfunctional factors. Such factors in protein evolution might be categorized as those connected to energetic costs, synthesis efficiency, and avoidance of misfolding and toxicity. A common approach to studying them is correlational analysis contrasting them with some characteristics of the protein, like amino acid composition, but these features are interdependent. To avoid possible bias, empirical studies are needed, and not enough work has been done to date. In this review, we describe the role of nonfunctional factors in protein evolution and present an experimental approach using yeast as a suitable model organism. The focus of the proposed approach is on the potential negative impact on the fitness of mutations that change protein properties not related to function and the frequency of mutations that change these properties. Experimental results of testing the misfolding avoidance hypothesis as an explanation for why highly expressed proteins evolve slowly are inconsistent with correlational research results. Therefore, more efforts should be made to empirically test the effects of nonfunctional factors in protein evolution and to contrast these results with the results of the correlational analysis approach.
期刊介绍:
Yeast publishes original articles and reviews on the most significant developments of research with unicellular fungi, including innovative methods of broad applicability. It is essential reading for those wishing to keep up to date with this rapidly moving field of yeast biology.
Topics covered include: biochemistry and molecular biology; biodiversity and taxonomy; biotechnology; cell and developmental biology; ecology and evolution; genetics and genomics; metabolism and physiology; pathobiology; synthetic and systems biology; tools and resources