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Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management

Intense selection by pesticides and antibiotics has resulted in a global epidemic of evolved resistance. In agriculture and medicine, using mixtures of compounds from different classes is widely accepted as optimal resistance management. However, this strategy may promote the evolution of more gener...

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Autores principales: Comont, David, Lowe, Claudia, Hull, Richard, Crook, Laura, Hicks, Helen L., Onkokesung, Nawaporn, Beffa, Roland, Childs, Dylan Z., Edwards, Robert, Freckleton, Robert P., Neve, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303185/
https://www.ncbi.nlm.nih.gov/pubmed/32555156
http://dx.doi.org/10.1038/s41467-020-16896-0
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author Comont, David
Lowe, Claudia
Hull, Richard
Crook, Laura
Hicks, Helen L.
Onkokesung, Nawaporn
Beffa, Roland
Childs, Dylan Z.
Edwards, Robert
Freckleton, Robert P.
Neve, Paul
author_facet Comont, David
Lowe, Claudia
Hull, Richard
Crook, Laura
Hicks, Helen L.
Onkokesung, Nawaporn
Beffa, Roland
Childs, Dylan Z.
Edwards, Robert
Freckleton, Robert P.
Neve, Paul
author_sort Comont, David
collection PubMed
description Intense selection by pesticides and antibiotics has resulted in a global epidemic of evolved resistance. In agriculture and medicine, using mixtures of compounds from different classes is widely accepted as optimal resistance management. However, this strategy may promote the evolution of more generalist resistance mechanisms. Here we test this hypothesis at a national scale in an economically important agricultural weed: blackgrass (Alopecurus myosuroides), for which herbicide resistance is a major economic issue. Our results reveal that greater use of herbicide mixtures is associated with lower levels of specialist resistance mechanisms, but higher levels of a generalist mechanism implicated in enhanced metabolism of herbicides with diverse modes of action. Our results indicate a potential evolutionary trade-off in resistance management, whereby attempts to reduce selection for specialist resistance traits may promote the evolution of generalist resistance. We contend that where specialist and generalist resistance mechanisms co-occur, similar trade-offs will be evident, calling into question the ubiquity of resistance management based on mixtures and combination therapies.
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spelling pubmed-73031852020-06-22 Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management Comont, David Lowe, Claudia Hull, Richard Crook, Laura Hicks, Helen L. Onkokesung, Nawaporn Beffa, Roland Childs, Dylan Z. Edwards, Robert Freckleton, Robert P. Neve, Paul Nat Commun Article Intense selection by pesticides and antibiotics has resulted in a global epidemic of evolved resistance. In agriculture and medicine, using mixtures of compounds from different classes is widely accepted as optimal resistance management. However, this strategy may promote the evolution of more generalist resistance mechanisms. Here we test this hypothesis at a national scale in an economically important agricultural weed: blackgrass (Alopecurus myosuroides), for which herbicide resistance is a major economic issue. Our results reveal that greater use of herbicide mixtures is associated with lower levels of specialist resistance mechanisms, but higher levels of a generalist mechanism implicated in enhanced metabolism of herbicides with diverse modes of action. Our results indicate a potential evolutionary trade-off in resistance management, whereby attempts to reduce selection for specialist resistance traits may promote the evolution of generalist resistance. We contend that where specialist and generalist resistance mechanisms co-occur, similar trade-offs will be evident, calling into question the ubiquity of resistance management based on mixtures and combination therapies. Nature Publishing Group UK 2020-06-18 /pmc/articles/PMC7303185/ /pubmed/32555156 http://dx.doi.org/10.1038/s41467-020-16896-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Comont, David
Lowe, Claudia
Hull, Richard
Crook, Laura
Hicks, Helen L.
Onkokesung, Nawaporn
Beffa, Roland
Childs, Dylan Z.
Edwards, Robert
Freckleton, Robert P.
Neve, Paul
Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management
title Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management
title_full Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management
title_fullStr Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management
title_full_unstemmed Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management
title_short Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management
title_sort evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303185/
https://www.ncbi.nlm.nih.gov/pubmed/32555156
http://dx.doi.org/10.1038/s41467-020-16896-0
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