Singh Vijay, Dou Tianyi, Krimmer Mark, Singh Shilpa, Humpal Dillon, Payne William Z, Sanchez Lee, Voronine Dmitri V, Prosvirin Andrey, Scully Marlan, Kurouski Dmitry, Bagavathiannan Muthukumar
Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, United States.
Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States.
Front Plant Sci. 2021 Jun 4;12:657963. doi: 10.3389/fpls.2021.657963. eCollection 2021.
The non-judicious use of herbicides has led to a widespread evolution of herbicide resistance in various weed species including Palmer amaranth, one of the most aggressive and troublesome weeds in the United States. Early detection of herbicide resistance in weed populations may help growers devise alternative management strategies before resistance spreads throughout the field. In this study, Raman spectroscopy was utilized as a rapid, non-destructive diagnostic tool to distinguish between three different glyphosate-resistant and four -susceptible Palmer amaranth populations. The glyphosate-resistant populations used in this study were 11-, 32-, and 36-fold more resistant compared to the susceptible standard. The 5-enolpyruvylshikimate-3-phosphate synthase () gene copy number for these resistant populations ranged from 86 to 116. We found that Raman spectroscopy could be used to differentiate herbicide-treated and non-treated susceptible populations based on changes in the intensity of vibrational bands at 1156, 1186, and 1525 cm that originate from carotenoids. The partial least squares discriminant analysis (PLS-DA) model indicated that within 1 day of glyphosate treatment (D1), the average accuracy of detecting herbicide-treated and non-treated susceptible populations was 90 and 73.3%, respectively. We also found that glyphosate-resistant and -susceptible populations of Palmer amaranth can be easily detected with an accuracy of 84.7 and 71.9%, respectively, as early as D1. There were relative differences in the concentration of carotenoids in plants with different resistance levels, but these changes were not significant. The results of the study illustrate the utility of Raman spectra for evaluation of herbicide resistance and stress response in plants under field conditions.
除草剂的不合理使用已导致包括糙果苋在内的多种杂草对除草剂产生广泛抗性,糙果苋是美国最具侵略性和麻烦的杂草之一。早期检测杂草种群中的除草剂抗性可能有助于种植者在抗性在田间扩散之前制定替代管理策略。在本研究中,拉曼光谱被用作一种快速、无损的诊断工具,以区分三种不同的抗草甘膦糙果苋种群和四种敏感糙果苋种群。本研究中使用的抗草甘膦种群的抗性是敏感标准种群的11倍、32倍和36倍。这些抗性种群的5-烯醇丙酮酰莽草酸-3-磷酸合酶(EPSPS)基因拷贝数在86至116之间。我们发现,基于源自类胡萝卜素的1156、1186和1525 cm处振动带强度的变化,拉曼光谱可用于区分经除草剂处理和未处理的敏感种群。偏最小二乘判别分析(PLS-DA)模型表明,在草甘膦处理后1天(D1),检测经除草剂处理和未处理的敏感种群的平均准确率分别为90%和73.3%。我们还发现,早在D1时,就可以轻松检测到抗草甘膦和敏感的糙果苋种群,准确率分别为84.7%和71.9%。不同抗性水平的植物中类胡萝卜素浓度存在相对差异,但这些变化并不显著。该研究结果说明了拉曼光谱在田间条件下评估植物除草剂抗性和应激反应的实用性。