{"title":"树木中体细胞突变率和表观突变率的异速缩放。","authors":"Frank Johannes","doi":"10.1093/evolut/qpae150","DOIUrl":null,"url":null,"abstract":"<p><p>How long-lived trees escape \"mutational meltdown\" despite centuries of continuous growth remains puzzling. Here we integrate recent studies to show that the yearly rate of somatic mutations and epimutations (μY) scales inversely with generation time (G), and follows the same allometric power law found in mammals (μY∝G-1). Deeper insights into the scaling function may permit predictions of somatic (epi)mutation rates from life-history traits without the need for genomic data.</p>","PeriodicalId":12082,"journal":{"name":"Evolution","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Allometric scaling of somatic mutation and epimutation rates in trees.\",\"authors\":\"Frank Johannes\",\"doi\":\"10.1093/evolut/qpae150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>How long-lived trees escape \\\"mutational meltdown\\\" despite centuries of continuous growth remains puzzling. Here we integrate recent studies to show that the yearly rate of somatic mutations and epimutations (μY) scales inversely with generation time (G), and follows the same allometric power law found in mammals (μY∝G-1). Deeper insights into the scaling function may permit predictions of somatic (epi)mutation rates from life-history traits without the need for genomic data.</p>\",\"PeriodicalId\":12082,\"journal\":{\"name\":\"Evolution\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evolution\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1093/evolut/qpae150\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolution","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1093/evolut/qpae150","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Allometric scaling of somatic mutation and epimutation rates in trees.
How long-lived trees escape "mutational meltdown" despite centuries of continuous growth remains puzzling. Here we integrate recent studies to show that the yearly rate of somatic mutations and epimutations (μY) scales inversely with generation time (G), and follows the same allometric power law found in mammals (μY∝G-1). Deeper insights into the scaling function may permit predictions of somatic (epi)mutation rates from life-history traits without the need for genomic data.
期刊介绍:
Evolution, published for the Society for the Study of Evolution, is the premier publication devoted to the study of organic evolution and the integration of the various fields of science concerned with evolution. The journal presents significant and original results that extend our understanding of evolutionary phenomena and processes.