Quantifying the role of genome size and repeat content in adaptive variation and the architecture of flowering time in Amaranthus tuberculatus

PLoS Genet. 2023 Dec 27;19(12):e1010865. doi: 10.1371/journal.pgen.1010865. eCollection 2023 Dec.

Abstract

Genome size variation, largely driven by repeat content, is poorly understood within and among populations, limiting our understanding of its significance for adaptation. Here we characterize intraspecific variation in genome size and repeat content across 186 individuals of Amaranthus tuberculatus, a ubiquitous native weed that shows flowering time adaptation to climate across its range and in response to agriculture. Sequence-based genome size estimates vary by up to 20% across individuals, consistent with the considerable variability in the abundance of transposable elements, unknown repeats, and rDNAs across individuals. The additive effect of this variation has important phenotypic consequences-individuals with more repeats, and thus larger genomes, show slower flowering times and growth rates. However, compared to newly-characterized gene copy number and polygenic nucleotide changes underlying variation in flowering time, we show that genome size is a marginal contributor. Differences in flowering time are reflected by genome size variation across sexes and marginally, habitats, while polygenic variation and a gene copy number variant within the ATP synthesis pathway show consistently stronger environmental clines than genome size. Repeat content nonetheless shows non-neutral distributions across the genome, and across latitudinal and environmental gradients, demonstrating the numerous governing processes that in turn influence quantitative genetic variation for phenotypes key to plant adaptation.

MeSH terms

  • Adaptation, Physiological / genetics
  • Amaranthus* / genetics
  • Climate
  • Genome Size
  • Humans
  • Phenotype

Grants and funding

J.M.K. was funded by a Killam Postdoctoral Fellowship from the Killam Trusts and a Biodiversity Research Centre Bioinformatics Postdoctoral Fellowship from the University of British Columbia. S.I.W. was supported by the NSERC RGPIN-2020-05850 and a Canada research chair. J.R.S. was supported by the NSERC RGPIN-2022-04366 and the Swedish Collegium for Advanced Study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.