دورية أكاديمية
RNA and protein biomarkers for detecting enhanced metabolic resistance to herbicides mesosulfuron-methyl and fenoxaprop-ethyl in black-grass (Alopecurus myosuroides).
| العنوان: | RNA and protein biomarkers for detecting enhanced metabolic resistance to herbicides mesosulfuron-methyl and fenoxaprop-ethyl in black-grass (Alopecurus myosuroides). |
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| المؤلفون: | Lowe C; Protecting Crops and the Environment, Rothamsted Research, Harpenden, UK., Onkokesung N; Agriculture, School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne, UK., Goldberg A; Agriculture, School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne, UK., Beffa R; Senior Scientific Consultant, Liederbach, Germany., Neve P; Protecting Crops and the Environment, Rothamsted Research, Harpenden, UK., Edwards R; Agriculture, School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne, UK., Comont D; Protecting Crops and the Environment, Rothamsted Research, Harpenden, UK. |
| المصدر: | Pest management science [Pest Manag Sci] 2024 Jun; Vol. 80 (6), pp. 2539-2551. Date of Electronic Publication: 2024 Feb 20. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Published for SCI by Wiley Country of Publication: England NLM ID: 100898744 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-4998 (Electronic) Linking ISSN: 1526498X NLM ISO Abbreviation: Pest Manag Sci Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: West Sussex, UK : Published for SCI by Wiley, c2000- |
| مواضيع طبية MeSH: | Herbicides*/pharmacology , Poaceae*/drug effects , Poaceae*/metabolism , Poaceae*/genetics , Herbicide Resistance*/genetics , Sulfonylurea Compounds*/pharmacology , Propionates*/pharmacology , Propionates*/metabolism , Biomarkers*/metabolism, Plant Proteins/metabolism ; Plant Proteins/genetics ; Oxazoles/pharmacology |
| مستخلص: | Background: The 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. Results: In 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. Conclusion: Our 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. (© 2024 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.) |
| References: | Comont D et al., Evolution of generalist resistance to herbicide mixtures reveals a trade‐off in resistance management. Nat Commun 11:3086 (2020). Suzukawa AK, Bobadilla LK, Mallory‐Smith C and Brunharo CACG, Non‐target‐site resistance in Lolium spp. Globally: a review. Front Plant Sci 11:2137 (2021). Keith BK, Lehnhoff EA, Burns EE, Menalled FD and Dyer WE, Characterisation of Avena fatua populations with resistance to multiple herbicides. Weed Res 55:621–630 (2015). Davies LR, Onkokesung N, Brazier‐Hicks M, Edwards R and Moss S, Detection and characterization of resistance to acetolactate synthase inhibiting herbicides in Anisantha and Bromus species in the United Kingdom. Pest Manag Sci 76:2473–2482 (2020). Varah A, Ahodo K, Coutts SR, Hicks HL, Comont D, Crook L et al., The costs of human‐induced evolution in an agricultural system. Nat Sustain 3:63–71 (2020). Comont D, Hicks H, Crook L, Hull R, Cocciantelli E, Hadfield J et al., Evolutionary epidemiology predicts the emergence of glyphosate resistance in a major agricultural weed. New Phytol 223:1584–1594 (2019). Powles SB and Yu Q, Evolution in action: plants resistant to herbicides. Annu Rev Plant Biol 61:317–347 (2010). Délye C, Duhoux A, Pernin F, Riggins CW and Tranel PJ, Molecular mechanisms of herbicide resistance. Weed Sci 63:91–115 (2015). Gaines TA, Duke SO, Morran S, Rigon CAG, Tranel PJ, Küpper A et al., Mechanisms of evolved herbicide resistance. J Biol Chem 295:10307–10330 (2020). Yu Q and Powles S, Metabolism‐based herbicide resistance and cross‐resistance in crop weeds: a threat to herbicide sustainability and global crop production. Plant Physiol 166:1106–1118 (2014). Moss S, Ulber L and den Hoed I, A herbicide resistance risk matrix. Crop Prot 115:13–19 (2019). Panozzo S, Scarabel L, Collavo A and Sattin M, Protocols for robust herbicide resistance testing in different weed species. J Vis Exp 2015:e52923 (2015). Aberuyi N, Rahgozar S, Ghodousi ES and Ghaedi K, Drug resistance biomarkers and their clinical applications in childhood acute lymphoblastic leukemia. Front Oncol 9:1496 (2020). O'Driscoll L and Clynes M, Biomarkers and multiple drug resistance in breast cancer. Curr Cancer Drug Targets 6:365–384 (2006). Van Zyl B, Tang D and Bowden NA, Biomarkers of platinum resistance in ovarian cancer: what can we use to improve treatment. Endocr Relat Cancer 25:R303–R318 (2018). https://doi.org/10.1530/ERC-17-0336. Tétard‐Jones C, Sabbadin F, Moss S, Hull R, Neve P and Edwards R, Changes in the proteome of the problem weed blackgrass correlating with multiple‐herbicide resistance. Plant J 94:709–720 (2018). Cummins I, Wortley DJ, Sabbadin F, He Z, Coxon CR, Straker HE et al., Key role for a glutathione transferase in multiple‐herbicide resistance in grass weeds. Proc Natl Acad Sci USA 110:5812–5817 (2013). Onkokesung N, Brazier‐Hicks M, Tetard‐Jones C, Bentham A and Edwards R, Molecular diagnostics for real‐time determination of herbicide resistance in wild grasses. J Biotechnol 358:64–66 (2022). Cai L, Comont D, MacGregor D, Lowe C, Beffa R, Neve P et al., The blackgrass genome reveals patterns of non‐parallel evolution of polygenic herbicide resistance. New Phytol 237:1891–1907 (2023). Vogel C and Marcotte EM, Insights into the regulation of protein abundance from proteomic and transcriptomic analyses. Nat Rev Genet 13:227–232 (2013). Hess M, Barralis G, Bleiholder H et al., Use of the extended BBCH scale—general for the descriptions of the growth stages of mono; and dicotyledonous weed species. Weed Res 37:433–441 (1997). Duhoux A and Délye C, Reference genes to study herbicide stress response in Lolium sp.: up‐regulation of P450 genes in plants resistant to acetolactate‐synthase inhibitors. PloS One 8:e63576 (2013). Beffa R, Figge A, Lorentz L and Hess M, Weed resistance diagnostic technologies to detect herbicide resistance in cerealgrowing areas. A review. 25th German Conference on Weed Biology and Weed Control 434:75–80 (2012). Bates D, Mächler M, Bolker BM and Walker SC, Fitting linear mixed‐effects models using lme4. J Stat Softw 67:1–48 (2014). Franco‐Ortega S, Goldberg‐Cavalleri A, Walker A, Brazier‐Hicks M, Onkokesung N and Edwards R, Non‐target site herbicide resistance is conferred by two distinct mechanisms in black‐grass (Alopecurus myosuroides). Front Plant Sci 12:194 (2021). Cummins I, Dixon DP, Freitag‐Pohl S, Skipsey M and Edwards R, Multiple roles for plant glutathione transferases in xenobiotic detoxification. Drug Metab Rev 43:266–280 (2011). https://doi.org/10.3109/03602532.2011.552910. Lee C, Raffaghello L and Longo VD, Starvation, detoxification, and multidrug resistance in cancer therapy. Drug Resist Updat 15:114–122 (2012). Sultan I, Rahman S, Jan AT, Siddiqui MT, Mondal AH and Haq QMR, Antibiotics, resistome and resistance mechanisms: a bacterial perspective. Front Microbiol 9:2066 (2018). Mezzari MP, Walters K, Jelínkova M, Shih MC, Just CL and Schnoor JL, Gene expression and microscopic analysis of arabidopsis exposed to chloroacetanilide herbicides and explosive compounds. A phytoremediation approach. Plant Physiol 138:858–869 (2005). Sobajima H, Takeda M, Sugimori M et al., Cloning and characterization of a jasmonic acid‐responsive gene encoding 12‐oxophytodienoic acid reductase in suspension‐cultured rice cells. Planta 216:692–698 (2003). Cummins I, Bryant DN and Edwards R, Safener responsiveness and multiple herbicide resistance in the weed black‐grass (Alopecurus myosuroides). Plant Biotechnol J 7:807–820 (2009). Zhao N, Yan Y, Liu W and Wang J, Cytochrome P450 CYP709C56 metabolizing mesosulfuron‐methyl confers herbicide resistance in Alopecurus aequalis. Cell Mol Life Sci 79:1–14 (2022). |
| معلومات مُعتمدة: | United Kingdom BB_ Biotechnology and Biological Sciences Research Council |
| فهرسة مساهمة: | Keywords: enhanced metabolic resistance; fenoxaprop; herbicide resistance black‐grass; mesosulfuron; molecular biomarkers; non‐target site resistance |
| المشرفين على المادة: | 0 (Herbicides) 7U20WEM458 (fenoxaprop ethyl) 0 (Sulfonylurea Compounds) 0 (Propionates) 0 (Biomarkers) 22L00R79A6 (mesosulfuron-methyl) 0 (Plant Proteins) 0 (Oxazoles) |
| تواريخ الأحداث: | Date Created: 20240220 Date Completed: 20240513 Latest Revision: 20240513 |
| رمز التحديث: | 20240513 |
| DOI: | 10.1002/ps.7960 |
| PMID: | 38375975 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1526-4998 |
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| DOI: | 10.1002/ps.7960 |