Dissecting weed adaptation: Fitness and trait correlations in herbicide-resistant Alopecurus myosuroides.


Journal

Pest management science
ISSN: 1526-4998
Titre abrégé: Pest Manag Sci
Pays: England
ID NLM: 100898744

Informations de publication

Date de publication:
Jul 2022
Historique:
revised: 13 04 2022
received: 01 03 2022
accepted: 18 04 2022
pubmed: 20 4 2022
medline: 22 6 2022
entrez: 19 4 2022
Statut: ppublish

Résumé

Unravelling the genetic architecture of non-target-site resistance (NTSR) traits in weed populations can inform questions about the inheritance, trade-offs and fitness costs associated with these traits. Classical quantitative genetics approaches allow study of the genetic architecture of polygenic traits even where the genetic basis of adaptation remains unknown. These approaches have the potential to overcome some of the limitations of previous studies into the genetics and fitness of NTSR. Using a quantitative genetic analysis of 400 pedigreed Alopecurus myosuroides seed families from nine field-collected populations, we found strong heritability for resistance to the acetolactate synthase and acetyl CoA carboxylase inhibitors (h These results highlight that quantitative genetics can provide important insight into the inheritance and genetic architecture of NTSR, and can be used alongside emerging molecular techniques to better understand the evolutionary and fitness landscape of herbicide resistance. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Sections du résumé

BACKGROUND BACKGROUND
Unravelling the genetic architecture of non-target-site resistance (NTSR) traits in weed populations can inform questions about the inheritance, trade-offs and fitness costs associated with these traits. Classical quantitative genetics approaches allow study of the genetic architecture of polygenic traits even where the genetic basis of adaptation remains unknown. These approaches have the potential to overcome some of the limitations of previous studies into the genetics and fitness of NTSR.
RESULTS RESULTS
Using a quantitative genetic analysis of 400 pedigreed Alopecurus myosuroides seed families from nine field-collected populations, we found strong heritability for resistance to the acetolactate synthase and acetyl CoA carboxylase inhibitors (h
CONCLUSION CONCLUSIONS
These results highlight that quantitative genetics can provide important insight into the inheritance and genetic architecture of NTSR, and can be used alongside emerging molecular techniques to better understand the evolutionary and fitness landscape of herbicide resistance. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Identifiants

pubmed: 35437938
doi: 10.1002/ps.6930
pmc: PMC9324217
doi:

Substances chimiques

Herbicides 0
Acetolactate Synthase EC 2.2.1.6
Acetyl-CoA Carboxylase EC 6.4.1.2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3039-3050

Subventions

Organisme : Higher Education Funding Council for England
Organisme : Agriculture and Horticulture Development Board
Organisme : Biotechnology and Biological Sciences Research Council
Pays : United Kingdom

Informations de copyright

© 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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Auteurs

David Comont (D)

Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.

Dana R MacGregor (DR)

Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.
Department of Biosciences, University of Durham, Durham, UK.

Laura Crook (L)

Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.

Richard Hull (R)

Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.

Lieselot Nguyen (L)

Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.

Robert P Freckleton (RP)

Department of Animal and Plant Sciences, University of Sheffield, South Yorkshire, UK.

Dylan Z Childs (DZ)

Department of Animal and Plant Sciences, University of Sheffield, South Yorkshire, UK.

Paul Neve (P)

Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, UK.
Department of Plant and Environmental Sciences, Section for Crop Sciences, University of Copenhagen, Taastrup, Denmark.

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Classifications MeSH