Cecilia Fruet, Ella Linxia Müller, Claude Loverdo, Anne-Florence Bitbol
{"title":"空间结构有利于无成本抗药性的进化救援","authors":"Cecilia Fruet, Ella Linxia Müller, Claude Loverdo, Anne-Florence Bitbol","doi":"arxiv-2409.07377","DOIUrl":null,"url":null,"abstract":"Bacterial populations often have complex spatial structures, which can impact\ntheir evolution. Here, we study how spatial structure affects the evolution of\nantibiotic resistance in a bacterial population. We consider a minimal model of\nspatially structured populations where all demes (i.e., subpopulations) are\nidentical and connected to each other by identical migration rates. We show\nthat spatial structure can facilitate the survival of a bacterial population to\nantibiotic treatment, starting from a sensitive inoculum. Indeed, the bacterial\npopulation can be rescued if antibiotic resistant mutants appear and are\npresent when drug is added, and spatial structure can impact the fate of these\nmutants and the probability that they are present. Specifically, if the\nmutation that provides resistance is neutral or effectively neutral, its\nprobability of fixation is increased in smaller populations. This promotes\nlocal fixation of resistant mutants in the structured population, which\nfacilitates evolutionary rescue by cost-free drug resistance. Once the\npopulation is rescued by resistance, migrations allow resistant mutants to\nspread in all demes. Our main results extend to the case where there are\nresistant mutants in the inoculum, and to more complex spatial structures. They\nalso extend to resistant mutants that carry a fitness cost, although the\ntimescales involved are longer.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial structure facilitates evolutionary rescue by cost-free drug resistance\",\"authors\":\"Cecilia Fruet, Ella Linxia Müller, Claude Loverdo, Anne-Florence Bitbol\",\"doi\":\"arxiv-2409.07377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bacterial populations often have complex spatial structures, which can impact\\ntheir evolution. Here, we study how spatial structure affects the evolution of\\nantibiotic resistance in a bacterial population. We consider a minimal model of\\nspatially structured populations where all demes (i.e., subpopulations) are\\nidentical and connected to each other by identical migration rates. We show\\nthat spatial structure can facilitate the survival of a bacterial population to\\nantibiotic treatment, starting from a sensitive inoculum. Indeed, the bacterial\\npopulation can be rescued if antibiotic resistant mutants appear and are\\npresent when drug is added, and spatial structure can impact the fate of these\\nmutants and the probability that they are present. Specifically, if the\\nmutation that provides resistance is neutral or effectively neutral, its\\nprobability of fixation is increased in smaller populations. This promotes\\nlocal fixation of resistant mutants in the structured population, which\\nfacilitates evolutionary rescue by cost-free drug resistance. Once the\\npopulation is rescued by resistance, migrations allow resistant mutants to\\nspread in all demes. Our main results extend to the case where there are\\nresistant mutants in the inoculum, and to more complex spatial structures. They\\nalso extend to resistant mutants that carry a fitness cost, although the\\ntimescales involved are longer.\",\"PeriodicalId\":501044,\"journal\":{\"name\":\"arXiv - QuanBio - Populations and Evolution\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Populations and Evolution\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.07377\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Populations and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatial structure facilitates evolutionary rescue by cost-free drug resistance
Bacterial populations often have complex spatial structures, which can impact
their evolution. Here, we study how spatial structure affects the evolution of
antibiotic resistance in a bacterial population. We consider a minimal model of
spatially structured populations where all demes (i.e., subpopulations) are
identical and connected to each other by identical migration rates. We show
that spatial structure can facilitate the survival of a bacterial population to
antibiotic treatment, starting from a sensitive inoculum. Indeed, the bacterial
population can be rescued if antibiotic resistant mutants appear and are
present when drug is added, and spatial structure can impact the fate of these
mutants and the probability that they are present. Specifically, if the
mutation that provides resistance is neutral or effectively neutral, its
probability of fixation is increased in smaller populations. This promotes
local fixation of resistant mutants in the structured population, which
facilitates evolutionary rescue by cost-free drug resistance. Once the
population is rescued by resistance, migrations allow resistant mutants to
spread in all demes. Our main results extend to the case where there are
resistant mutants in the inoculum, and to more complex spatial structures. They
also extend to resistant mutants that carry a fitness cost, although the
timescales involved are longer.