James S Horton, Joshua L Cherry, Gretel Waugh, Tiffany B Taylor
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First, we experimentally confirm previous analysis showing that homopolymeric tracts (≥3) of G with a 3' T frequently mutate so that the T is replaced with a G, resulting in an extension of the guanine tract, i.e. GGGT → GGGG. We then demonstrate that the potency of this T:A→G:C hotspot is dependent on the nucleotides immediately flanking the GnT sequence. We find that the dinucleotide immediately 5' to a G4 tract and the dinucleotide immediately 3' to the T strongly affect the T:A→G:C mutation rate, which ranges from ∼5-fold higher than the typical rate to over 1000-fold higher depending on the flanking elements. GnT motifs are therefore comprised of several modular nucleotide components which each exert a significant, quantifiable effect on the mutation rate. This work advances our ability to accurately identify the position and quantify the mutagenicity of hotspot motifs predicated on short nucleotide sequences.</p>","PeriodicalId":18730,"journal":{"name":"Molecular biology and evolution","volume":" ","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344412/pdf/","citationCount":"0","resultStr":"{\"title\":\"GnT Motifs Can Increase T:A→G:C Mutation Rates Over 1000-fold in Bacteria.\",\"authors\":\"James S Horton, Joshua L Cherry, Gretel Waugh, Tiffany B Taylor\",\"doi\":\"10.1093/molbev/msaf183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Nucleotides across a genome do not mutate at equal frequencies. Instead, specific nucleotide positions can exhibit much higher mutation rates than the genomic average due to their immediate nucleotide neighbors. These \\\"mutational hotspots\\\" can play a prominent role in adaptive evolution, yet we lack knowledge of which short nucleotide sequences drive hotspots. In this work, we employ a combination of experimental evolution with Pseudomonas fluorescens and bioinformatic analysis of various Salmonella species to characterize a short nucleotide motif (≥8 bp) that can drive T:A→G:C mutation rates >1000-fold higher than the baseline T→G rate in bacteria. First, we experimentally confirm previous analysis showing that homopolymeric tracts (≥3) of G with a 3' T frequently mutate so that the T is replaced with a G, resulting in an extension of the guanine tract, i.e. GGGT → GGGG. We then demonstrate that the potency of this T:A→G:C hotspot is dependent on the nucleotides immediately flanking the GnT sequence. We find that the dinucleotide immediately 5' to a G4 tract and the dinucleotide immediately 3' to the T strongly affect the T:A→G:C mutation rate, which ranges from ∼5-fold higher than the typical rate to over 1000-fold higher depending on the flanking elements. GnT motifs are therefore comprised of several modular nucleotide components which each exert a significant, quantifiable effect on the mutation rate. This work advances our ability to accurately identify the position and quantify the mutagenicity of hotspot motifs predicated on short nucleotide sequences.</p>\",\"PeriodicalId\":18730,\"journal\":{\"name\":\"Molecular biology and evolution\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344412/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular biology and evolution\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/molbev/msaf183\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular biology and evolution","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/molbev/msaf183","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
GnT Motifs Can Increase T:A→G:C Mutation Rates Over 1000-fold in Bacteria.
Nucleotides across a genome do not mutate at equal frequencies. Instead, specific nucleotide positions can exhibit much higher mutation rates than the genomic average due to their immediate nucleotide neighbors. These "mutational hotspots" can play a prominent role in adaptive evolution, yet we lack knowledge of which short nucleotide sequences drive hotspots. In this work, we employ a combination of experimental evolution with Pseudomonas fluorescens and bioinformatic analysis of various Salmonella species to characterize a short nucleotide motif (≥8 bp) that can drive T:A→G:C mutation rates >1000-fold higher than the baseline T→G rate in bacteria. First, we experimentally confirm previous analysis showing that homopolymeric tracts (≥3) of G with a 3' T frequently mutate so that the T is replaced with a G, resulting in an extension of the guanine tract, i.e. GGGT → GGGG. We then demonstrate that the potency of this T:A→G:C hotspot is dependent on the nucleotides immediately flanking the GnT sequence. We find that the dinucleotide immediately 5' to a G4 tract and the dinucleotide immediately 3' to the T strongly affect the T:A→G:C mutation rate, which ranges from ∼5-fold higher than the typical rate to over 1000-fold higher depending on the flanking elements. GnT motifs are therefore comprised of several modular nucleotide components which each exert a significant, quantifiable effect on the mutation rate. This work advances our ability to accurately identify the position and quantify the mutagenicity of hotspot motifs predicated on short nucleotide sequences.
期刊介绍:
Molecular Biology and Evolution
Journal Overview:
Publishes research at the interface of molecular (including genomics) and evolutionary biology
Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic
Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research
Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.