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用于检测黑麦草(Alopecurus myosuroides)对除草剂甲磺胺隆和吡氟禾草灵代谢增强抗性的 RNA 和蛋白质生物标志物。

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

机构信息

Protecting Crops and the Environment, Rothamsted Research, Harpenden, UK.

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

出版信息

Pest Manag Sci. 2024 Jun;80(6):2539-2551. doi: 10.1002/ps.7960. Epub 2024 Feb 20.

Abstract

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.

摘要

背景

非靶标位点抗性(NTSR)的进化导致除草剂对农业杂草物种的控制显著降低。在除草剂处理前检测杂草种群中的 NTSR,可以为有效杂草控制提供有价值的信息。虽然并非所有 NTSR 机制都已完全确定,但增强的代谢抗性(EMR)是研究得较好的机制之一,通过增加除草剂解毒作用来赋予耐受性。传统上,确认对特定除草剂的 EMR 涉及检测植物中活性除草剂分子的代谢物,但这种方法既耗时又需要配备齐全的实验室。

结果

在这项研究中,我们探索了在使用除草剂处理前使用分子生物标志物来检测黑麦草(Alopecurus myosuroides)中的 EMR 的潜力。我们测试了选择的生物标志物预测 EMR 的可靠性,以及在英国各地采集的 27 个田间黑麦草种群的参考和田间种群在除草剂处理后的生存能力。生物标志物的组成型表达和代谢研究的综合分析证实了三种蛋白质,即 AmGSTF1、AmGSTU2 和 AmOPR1,是黑麦草中针对除草剂 fenoxaprop-ethyl 和 mesosulfuron 的 EMR 的差异生物标志物。

结论

我们的研究结果表明,有可能在不参考代谢分析的情况下,使用分子生物标志物来检测黑麦草中针对特定除草剂的 EMR。然而,生物标志物的开发必须包括在转录和蛋白质水平上进行测试,以成为抗性的可靠指标。这项工作是朝着更可靠的抗性生物标志物开发迈出的第一步,这可以扩展到其他除草剂化学物质中,用于农场测试和监测未表征的黑麦草种群中的 EMR。

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