Unravelling drivers of local adaptation through evolutionary functional-structural plant modelling.
Dianthus carthusianorum
competition
ecology and evolution
functional–structural plant modelling
local adaptation
natural selection
plant phenology
plant–pollinator interactions
Journal
The New phytologist
ISSN: 1469-8137
Titre abrégé: New Phytol
Pays: England
ID NLM: 9882884
Informations de publication
Date de publication:
10 Sep 2024
10 Sep 2024
Historique:
received:
27
03
2024
accepted:
01
08
2024
medline:
11
9
2024
pubmed:
11
9
2024
entrez:
11
9
2024
Statut:
aheadofprint
Résumé
Local adaptation to contrasting environmental conditions along environmental gradients is a widespread phenomenon in plant populations, yet we lack a mechanistic understanding of how individual agents of selection contribute to this evolutionary process. Here, we developed a novel evolutionary functional-structural plant (E-FSP) model that recreates local adaptation of virtual plants along an environmental gradient. First, we validate the model by testing if it can reproduce two elevational ecotypes of Dianthus carthusianorum occurring in the Swiss Alps. Second, we use the E-FSP model to disentangle the relative contribution of abiotic (temperature) and biotic (competition and pollination) selection pressures to elevational adaptation in D. carthusianorum. Our results suggest that elevational adaptation in D. carthusianorum is predominantly driven by the abiotic environment. The model reproduced the qualitative differences between the elevational ecotypes in two phenological (germination and flowering time) and one morphological trait (stalk height), as well as qualitative differences in four performance variables that emerge from G × E interactions (flowering time, number of stalks, rosette area and seed production). Our approach shows how E-FSP models incorporating physiological, ecological and evolutionary mechanisms can be used in combination with experiments to examine hypotheses about patterns of adaptation observed in the field.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : HORIZON EUROPE European Innovation Council
ID : 678841
Organisme : ETH Zürich Postdoctoral Fellowship
ID : 19-2 FEL-72
Organisme : Swiss National Science Foundation
ID : 31003A_182675
Pays : Switzerland
Informations de copyright
© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.
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