{"title":"A multigenerational population-growth assay to capture subtle fitness phenotypes in C. elegans and other nematodes.","authors":"Sophia C Tintori, Derin Çağlar, Matthew V Rockman","doi":"10.1093/genetics/iyaf073","DOIUrl":null,"url":null,"abstract":"<p><p>Heritable fitness differences between individuals are the currency of evolution but can be challenging to quantify with precision. A slight probabilistic fitness advantage to one relatively healthy individual over another is often too subtle to detect in a single generation. For this reason, we have developed an assay to quantify and compare heritable fitness traits in nematodes by allowing their differences to amplify during unrestricted exponential population growth over multiple generations. This method employs continuous imaging as populations expand, and an automated program to detect the time of resource exhaustion. Expanding on our earlier applications, we here describe, motivate, and validate the method's experimental parameters and introduce a new R package to facilitate image processing and statistical analyses. We demonstrate the utility of this method by using it to identify natural differences in mutagen sensitivity between wild isolates of Caenorhabditis elegans. This tool is immediately adaptable to any strain of C. elegans or similar nematode and can be used to quantify fitness differences in the face of any experimental condition that can be created on a petri dish.</p>","PeriodicalId":48925,"journal":{"name":"Genetics","volume":" ","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12135191/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/genetics/iyaf073","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Heritable fitness differences between individuals are the currency of evolution but can be challenging to quantify with precision. A slight probabilistic fitness advantage to one relatively healthy individual over another is often too subtle to detect in a single generation. For this reason, we have developed an assay to quantify and compare heritable fitness traits in nematodes by allowing their differences to amplify during unrestricted exponential population growth over multiple generations. This method employs continuous imaging as populations expand, and an automated program to detect the time of resource exhaustion. Expanding on our earlier applications, we here describe, motivate, and validate the method's experimental parameters and introduce a new R package to facilitate image processing and statistical analyses. We demonstrate the utility of this method by using it to identify natural differences in mutagen sensitivity between wild isolates of Caenorhabditis elegans. This tool is immediately adaptable to any strain of C. elegans or similar nematode and can be used to quantify fitness differences in the face of any experimental condition that can be created on a petri dish.
期刊介绍:
GENETICS is published by the Genetics Society of America, a scholarly society that seeks to deepen our understanding of the living world by advancing our understanding of genetics. Since 1916, GENETICS has published high-quality, original research presenting novel findings bearing on genetics and genomics. The journal publishes empirical studies of organisms ranging from microbes to humans, as well as theoretical work.
While it has an illustrious history, GENETICS has changed along with the communities it serves: it is not your mentor''s journal.
The editors make decisions quickly – in around 30 days – without sacrificing the excellence and scholarship for which the journal has long been known. GENETICS is a peer reviewed, peer-edited journal, with an international reach and increasing visibility and impact. All editorial decisions are made through collaboration of at least two editors who are practicing scientists.
GENETICS is constantly innovating: expanded types of content include Reviews, Commentary (current issues of interest to geneticists), Perspectives (historical), Primers (to introduce primary literature into the classroom), Toolbox Reviews, plus YeastBook, FlyBook, and WormBook (coming spring 2016). For particularly time-sensitive results, we publish Communications. As part of our mission to serve our communities, we''ve published thematic collections, including Genomic Selection, Multiparental Populations, Mouse Collaborative Cross, and the Genetics of Sex.