A somatic genetic clock for clonal species

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  • Lei Yu
    GEOMAR Helmholtz-Center for Ocean Research Kiel
  • Jessie Renton
    Queen Mary University of London
  • Agata Burian
    University of Silesia in Katowice
  • Marina Khachaturyan
    GEOMAR Helmholtz-Center for Ocean Research Kiel
  • Till Bayer
    GEOMAR Helmholtz-Center for Ocean Research Kiel
  • Jonne Kotta
    University of Tartu
  • John J. Stachowitz
    University of California, Davis
  • Katherine DuBois
    University of California, Davis
  • Iliana B. Baums
    University of Oldenburg
  • Benjamin Werner
    Queen Mary University of London
  • Thorsten B. H. Reusch
    GEOMAR Helmholtz-Center for Ocean Research Kiel
Age and longevity are key parameters for demography and life-history evolution of organisms. In clonal species, a widespread life history among animals, plants, macroalgae and fungi, the sexually produced offspring (genet) grows indeterminately by producing iterative modules, or ramets, and so obscure their age. Here we present a novel molecular clock based on the accumulation of fixed somatic genetic variation that segregates among ramets. Using a stochastic model, we demonstrate that the accumulation of fixed somatic genetic variation will approach linearity after a lag phase, and is determined by the mitotic mutation rate, without direct dependence on asexual generation time. The lag phase decreased with lower stem cell population size, number of founder cells for the formation of new modules, and the ratio of symmetric versus asymmetric cell divisions. We calibrated the somatic genetic clock on cultivated eelgrass Zostera marina genets (4 and 17 years respectively). In a global data set of 20 eelgrass populations, genet ages were up to 1,403 years. The somatic genetic clock is applicable to any multicellular clonal species where the number of founder cells is small, opening novel research avenues to study longevity and, hence, demography and population dynamics of clonal species
Original languageEnglish
Pages (from-to)1327-1336
Number of pages10
JournalNature Ecology and Evolution
Volume8
Issue number7
Early online date10 Jun 2024
DOIs
Publication statusPublished - Jul 2024
Externally publishedYes
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