Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass
Year: 2023
Type: article
Abstract: Repeated herbicide applications exert enormous selection on blackgrass ( Alopecurus myosuroides ), a major weed in cereal crops of the temperate climate zone including Europe. This inadvertent large-scale experiment gives us the opportunity to look into the underlying genetic mechanisms and evolutionary processes of rapid adaptation, which can occur both through mutations in the direct targets of herbicides and through changes in other, often metabolic, pathways, known as non-target-site resistance. How much either type of adaptation relies on de novo mutations versus pre-existing standing variation is important for developing strategies to manage herbicide resistance. We generated a chromosome-level reference genome for A. myosuroides for population genomic studies of herbicide resistance and genome-wide diversity across Europe in this species. Bulked-segregant analysis evidenced that non-target-site resistance has a complex genetic architecture. Through empirical data and simulations, we showed that, despite its simple genetics, target-site resistance mainly results from standing genetic variation, with only a minor role for de novo mutations.
Institutions: University of Hohenheim, Max Planck Institute for Biology, Ghent University, VIB-UGent Center for Plant Systems Biology, Pennsylvania State University, Austrian Academy of Sciences, Stanford University, Friedrich Miescher Laboratory, BASF (Germany), Nanjing Agricultural University, University of Pretoria
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
Funders: Fund for Astrophysical Research, San Francisco State University, University of Pennsylvania, Colorado State University, Pennsylvania State University, Universität Hohenheim, Human Frontier Science Program, University of Pretoria, Österreichischen Akademie der Wissenschaften, Max-Planck-Gesellschaft, Universiteit Gent, Nanjing Agricultural University
Award: G4635743697
OpenAlex ID: W4365135483
