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Phenotypic plasticity masks range-wide genetic differentiation for vegetative but not reproductive traits in a short-lived plant.

Jesús VillellasJohan EhrlénElizabeth E CroneAnna Mária CsergőMaria B GarciaAnna-Liisa LaineDeborah A RoachRoberto Salguero-GomezGlenda M WardleDylan Z ChildsBret D ElderdAlain FinnSergi Munne-BoschBenedicte BachelotJudit BódisAnna BucharovaChristina M CarusoJane A CatfordMatthew CoghillAldo CompagnoniRichard P DuncanJohn M DwyerAryana FergusonLauchlan H FraserEmily GriffoulRonny GroentemanLiv Norunn HamreAveliina HelmRuth KellyLauri LaanistoMichele LonatiZuzana MünzbergováPaloma NucheSiri Lie OlsenAdrian OpreaMeelis PärtelWilliam K PetrySatu RamulaPil Uthaug RasmussenSimone Ravetto EnriAnna RoederChristiane RoscherCheryl SchultzOlav SkarpaasAnnabel L SmithAyco J M TackJoachim Paul TöpperPeter Anton VeskGregory E VoseElizabeth WandragAstrid WinglerYvonne M Buckley
Published in: Ecology letters (2021)
Genetic differentiation and phenotypic plasticity jointly shape intraspecific trait variation, but their roles differ among traits. In short-lived plants, reproductive traits may be more genetically determined due to their impact on fitness, whereas vegetative traits may show higher plasticity to buffer short-term perturbations. Combining a multi-treatment greenhouse experiment with observational field data throughout the range of a widespread short-lived herb, Plantago lanceolata, we (1) disentangled genetic and plastic responses of functional traits to a set of environmental drivers and (2) assessed how genetic differentiation and plasticity shape observational trait-environment relationships. Reproductive traits showed distinct genetic differentiation that largely determined observational patterns, but only when correcting traits for differences in biomass. Vegetative traits showed higher plasticity and opposite genetic and plastic responses, masking the genetic component underlying field-observed trait variation. Our study suggests that genetic differentiation may be inferred from observational data only for the traits most closely related to fitness.
Keyphrases
  • genome wide
  • dna methylation
  • copy number
  • physical activity
  • cross sectional
  • risk assessment
  • big data
  • climate change
  • artificial intelligence
  • data analysis