防御诱导剂上调绿豆代谢和抗氧化活性抑制炭腐病

IF 1.1 4区 农林科学 Q3 PLANT SCIENCES
Pravallika Sree Rayanoothala, Sunita Mahapatra, Arup Sen, Srikanta Das, Ahmed Gaber, Mohammed M. Althaqafi, Abdulrahman Alasmari, Akbar Hossain
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引用次数: 0

摘要

在温室控制条件下,研究了2个绿豆品种对真菌病原菌phaseolina炭化腐病的生化反应。抗病品种为Bireshwar (WBM 4-34-1-1)和易感品种Samrat (PDM-139)。温室环境温度为24℃±2℃,相对湿度为85% ~ 90%。这些品种最初通过田间筛选鉴定出不同的抗性水平。用四种不同的防御诱导化合物:水杨酸(SA)、壳聚糖、酵母提取物和茉莉酸(JA)处理种子。分别以SA(0.5、1、2 mM)、壳聚糖(0.01、0.03、0.07 mM)、酵母提取物(0.02%、0.05%、0.1%)和JA(0.02%、0.05%、0.1%)三种浓度施加激发子。与未处理的对照组相比,处理后植株的过氧化氢酶(CAT)、过氧化物酶(POD)、多酚氧化酶(PPO)、苯丙氨酸解氨酶(PAL)、邻二羟基酚类(OD酚类)、总酚类和抗坏血酸等几种与防御相关的生化标志物的积累均显著增加,且具有统计学意义。较高浓度的SA对增强这些生化防御作用最有效,其次是壳聚糖和JA。接种病原体后,CAT、PAL、POD、PPO、OD酚和总酚水平升高与疾病严重程度降低有关。相关分析显示,除PPO和抗坏血酸外,其余大部分生化指标与PDI呈显著负相关,尤其是在播后20 d。这些发现强调了生物化学防御机制在赋予木炭腐病抗性中的关键作用。该研究表明,在植物发育早期阶段,高水平的生化活性可以作为一种有价值的选择标准,用于旨在增强抗病性的育种计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defence Inducers Upregulate Metabolic and Antioxidant Activity to Suppress Charcoal Rot Disease in Mung Bean (Vigna radiata L.)

The biochemical responses of two mung bean (Vigna radiata L.) cultivars to charcoal rot disease, caused by the fungal pathogen Macrophomina phaseolina, were investigated under controlled greenhouse conditions. The cultivars were Bireshwar (WBM 4-34-1-1), which is resistant to the disease, and Samrat (PDM-139), which is susceptible. The greenhouse environment was maintained at a temperature of 24°C ± 2°C and a relative humidity of 85%–90%. These cultivars were initially identified for their varying resistance levels through field screening. Seeds were treated with four distinct defence-inducing compounds: salicylic acid (SA), chitosan, yeast extract and jasmonic acid (JA). These elicitors were applied at three concentrations: SA (0.5, 1, 2 mM), chitosan (0.01, 0.03, 0.07 mM), yeast extract (0.02%, 0.05%, 0.1%) and JA (0.02%, 0.05%, 0.1%). The treated plants exhibited a notable and statistically significant enhancement in the accumulation of several defence-related biochemical markers, including catalase (CAT), peroxidase (POD), polyphenol oxidase (PPO), phenylalanine ammonia lyase (PAL), ortho-dihydroxy phenols (OD phenols), total phenols and ascorbic acid, when compared to the untreated control group. SA at higher concentrations was most effective, followed by chitosan and JA, in enhancing these biochemical defences. Following pathogen inoculation, elevated levels of CAT, PAL, POD, PPO, OD phenols and total phenols were associated with reduced disease severity. Correlation analysis revealed a strong negative relationship between Percent Disease Index (PDI) and most biochemical variables, especially at 20 days after sowing (DAS), except for PPO and ascorbic acid. These findings underscore the critical role of biochemical defence mechanisms in conferring resistance to charcoal rot disease. The study suggests that high levels of biochemical activity during the early stages of plant development could be used as a valuable selection criterion in breeding programmes aimed at enhancing disease resistance.

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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.
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