{"title":"Mutation bias and adaptation in bacteria.","authors":"James S Horton, Tiffany B Taylor","doi":"10.1099/mic.0.001404","DOIUrl":null,"url":null,"abstract":"<p><p>Genetic mutation, which provides the raw material for evolutionary adaptation, is largely a stochastic force. However, there is ample evidence showing that mutations can also exhibit strong biases, with some mutation types and certain genomic positions mutating more often than others. It is becoming increasingly clear that mutational bias can play a role in determining adaptive outcomes in bacteria in both the laboratory and the clinic. As such, understanding the causes and consequences of mutation bias can help microbiologists to anticipate and predict adaptive outcomes. In this review, we provide an overview of the mechanisms and features of the bacterial genome that cause mutational biases to occur. We then describe the environmental triggers that drive these mechanisms to be more potent and outline the adaptive scenarios where mutation bias can synergize with natural selection to define evolutionary outcomes. We conclude by describing how understanding mutagenic genomic features can help microbiologists predict areas sensitive to mutational bias, and finish by outlining future work that will help us achieve more accurate evolutionary forecasts.</p>","PeriodicalId":49819,"journal":{"name":"Microbiology-Sgm","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10710837/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbiology-Sgm","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1099/mic.0.001404","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Genetic mutation, which provides the raw material for evolutionary adaptation, is largely a stochastic force. However, there is ample evidence showing that mutations can also exhibit strong biases, with some mutation types and certain genomic positions mutating more often than others. It is becoming increasingly clear that mutational bias can play a role in determining adaptive outcomes in bacteria in both the laboratory and the clinic. As such, understanding the causes and consequences of mutation bias can help microbiologists to anticipate and predict adaptive outcomes. In this review, we provide an overview of the mechanisms and features of the bacterial genome that cause mutational biases to occur. We then describe the environmental triggers that drive these mechanisms to be more potent and outline the adaptive scenarios where mutation bias can synergize with natural selection to define evolutionary outcomes. We conclude by describing how understanding mutagenic genomic features can help microbiologists predict areas sensitive to mutational bias, and finish by outlining future work that will help us achieve more accurate evolutionary forecasts.
期刊介绍:
We publish high-quality original research on bacteria, fungi, protists, archaea, algae, parasites and other microscopic life forms.
Topics include but are not limited to:
Antimicrobials and antimicrobial resistance
Bacteriology and parasitology
Biochemistry and biophysics
Biofilms and biological systems
Biotechnology and bioremediation
Cell biology and signalling
Chemical biology
Cross-disciplinary work
Ecology and environmental microbiology
Food microbiology
Genetics
Host–microbe interactions
Microbial methods and techniques
Microscopy and imaging
Omics, including genomics, proteomics and metabolomics
Physiology and metabolism
Systems biology and synthetic biology
The microbiome.