{"title":"诱变:从单细胞实时方法的见解。","authors":"Marina Elez, Chiara Enrico Bena, Lydia Robert","doi":"10.1146/annurev-micro-050224-093623","DOIUrl":null,"url":null,"abstract":"<p><p>All genetic variation fueling evolution depends on mutations. Although mutations have been extensively studied for almost a century, until a decade ago the investigation of mutations was limited to population-level analysis. This constraint has hampered the exploration of cellular heterogeneity in mutation processes and its evolutionary implications. To overcome these limitations, quantitative visualization methods for studying mutations in the bacterium <i>Escherichia coli</i> at the single-cell level have been developed. These approaches offer the possibility of accessing a major source of mutations, i.e., DNA polymerase errors, and their fate, i.e., repair versus conversion to mutation. In addition, such methods allow for quantitative characterization of the effects of mutations on cell fitness. This article discusses insights into the mutation process derived from these new single-cell mutagenesis approaches.</p>","PeriodicalId":7946,"journal":{"name":"Annual review of microbiology","volume":" ","pages":""},"PeriodicalIF":9.9000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mutagenesis: Insights from Single-Cell, Real-Time Approaches.\",\"authors\":\"Marina Elez, Chiara Enrico Bena, Lydia Robert\",\"doi\":\"10.1146/annurev-micro-050224-093623\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>All genetic variation fueling evolution depends on mutations. Although mutations have been extensively studied for almost a century, until a decade ago the investigation of mutations was limited to population-level analysis. This constraint has hampered the exploration of cellular heterogeneity in mutation processes and its evolutionary implications. To overcome these limitations, quantitative visualization methods for studying mutations in the bacterium <i>Escherichia coli</i> at the single-cell level have been developed. These approaches offer the possibility of accessing a major source of mutations, i.e., DNA polymerase errors, and their fate, i.e., repair versus conversion to mutation. In addition, such methods allow for quantitative characterization of the effects of mutations on cell fitness. This article discusses insights into the mutation process derived from these new single-cell mutagenesis approaches.</p>\",\"PeriodicalId\":7946,\"journal\":{\"name\":\"Annual review of microbiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual review of microbiology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-micro-050224-093623\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of microbiology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1146/annurev-micro-050224-093623","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
Mutagenesis: Insights from Single-Cell, Real-Time Approaches.
All genetic variation fueling evolution depends on mutations. Although mutations have been extensively studied for almost a century, until a decade ago the investigation of mutations was limited to population-level analysis. This constraint has hampered the exploration of cellular heterogeneity in mutation processes and its evolutionary implications. To overcome these limitations, quantitative visualization methods for studying mutations in the bacterium Escherichia coli at the single-cell level have been developed. These approaches offer the possibility of accessing a major source of mutations, i.e., DNA polymerase errors, and their fate, i.e., repair versus conversion to mutation. In addition, such methods allow for quantitative characterization of the effects of mutations on cell fitness. This article discusses insights into the mutation process derived from these new single-cell mutagenesis approaches.
期刊介绍:
Annual Review of Microbiology is a Medical and Microbiology Journal and published by Annual Reviews Inc. The Annual Review of Microbiology, in publication since 1947, covers significant developments in the field of microbiology, encompassing bacteria, archaea, viruses, and unicellular eukaryotes. The current volume of this journal has been converted from gated to open access through Annual Reviews' Subscribe to Open program, with all articles published under a CC BY license. The Impact Factor of Annual Review of Microbiology is 10.242 (2024) Impact factor. The Annual Review of Microbiology Journal is Indexed with Pubmed, Scopus, UGC (University Grants Commission).