RNA and protein biomarkers for detecting enhanced metabolic resistance to herbicides mesosulfuron‐methyl and fenoxaprop‐ethyl in black‐grass (Alopecurus myosuroides)

Author:

Lowe Claudia1ORCID,Onkokesung Nawaporn2,Goldberg Alina2,Beffa Roland3,Neve Paul1,Edwards Robert2ORCID,Comont David1ORCID

Affiliation:

1. Protecting Crops and the Environment Rothamsted Research Harpenden UK

2. Agriculture, School of Natural and Environmental Sciences Newcastle University Newcastle Upon Tyne UK

3. Senior Scientific Consultant Liederbach Germany

Abstract

AbstractBACKGROUNDThe evolution of non‐target site resistance (NTSR) to herbicides leads to a significant reduction in herbicide control of agricultural weed species. Detecting NTSR in weed populations prior to herbicide treatment would provide valuable information for effective weed control. While not all NTSR mechanisms have been fully identified, enhanced metabolic resistance (EMR) is one of the better studied, conferring tolerance through increased herbicide detoxification. Confirming EMR towards specific herbicides conventionally involves detecting metabolites of the active herbicide molecule in planta, but this approach is time‐consuming and requires access to well‐equipped laboratories.RESULTSIn this study, we explored the potential of using molecular biomarkers to detect EMR before herbicide treatment in black‐grass (Alopecurus myosuroides). We tested the reliability of selected biomarkers to predict EMR and survival after herbicide treatments in both reference and 27 field‐derived black‐grass populations collected from sites across the UK. The combined analysis of the constitutive expression of biomarkers and metabolism studies confirmed three proteins, namely, AmGSTF1, AmGSTU2 and AmOPR1, as differential biomarkers of EMR toward the herbicides fenoxaprop‐ethyl and mesosulfuron in black‐grass.CONCLUSIONOur findings demonstrate that there is potential to use molecular biomarkers to detect EMR toward specific herbicides in black‐grass without reference to metabolism analysis. However, biomarker development must include testing at both transcript and protein levels in order to be reliable indicators of resistance. This work is a first step towards more robust resistance biomarker development, which could be expanded into other herbicide chemistries for on‐farm testing and monitoring EMR in uncharacterised black‐grass populations. © 2024 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Funder

Bayer

Biotechnology and Biological Sciences Research Council

Agriculture and Horticulture Development Board

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3