优化基于田间非对称离子迁移谱的豌豆根腐病评估方法

IF 2.5 2区 农林科学 Q1 AGRONOMY Crop Protection Pub Date : 2024-10-11 DOI:10.1016/j.cropro.2024.106982
Milton Valencia-Ortiz , Rebecca J. McGee , Sindhuja Sankaran
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引用次数: 0

摘要

当植物感染病原体时,病害反应会导致挥发性有机化合物(VOC)发生变化。这些挥发性有机化合物的变化可用于病害检测和定量。本研究采用田间非对称离子迁移谱法(FAIMS)评估了接种了导致Aphanomyces根腐病的Aphanomyces euteiches Drechs的动物孢子的近等基因系豌豆(Pisum sativum L.)的挥发性有机化合物谱的变化。盆中装满硅砂,每盆种植六株,采用随机完全区组设计,四次重复。在植物出苗后 5 天和 7 天分别施用四种处理,即未接种、1 × 105、1 × 106 和 2.79 × 106 zoospores ml-1。在接种后 2、4、7 和 9 天,使用 FAIMS 收集挥发性曲线。利用方差分析从 FAIMS 图谱的离子流强度中提取出特定的感兴趣区域。同样,还利用主成分分析和 K-均值聚类对多个感兴趣的区域进行了评估。离子电流剖面和曲率剖面利用均值聚类法纳入分析。还记录了其他地面参考数据,如根腐病指数和生理参数。结果表明,在 14 DAE(7 DAI)的非破坏性取样过程中,特定相关区域的生物标志物充分展示了量化和区分处理效果的能力。该区域的数据可用于根据孢子接种水平对处理效果进行早期非破坏性量化和区分。离子电流和曲率剖面的 k-means 聚类显示了基于处理的模式。这些研究结果表明,FAIMS 可用作一种工具,利用挥发性生物标记物评估植物与病原体之间的相互作用,从而评估受控条件下的病害反应和严重程度。
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Optimization of field asymmetric ion mobility spectrometry-based assessment of Aphanomyces root rot in pea
When plants are infected with pathogens, disease response can result in changes in the profiles of volatile organic compounds (VOC). These changes in volatile organic compounds (VOC) profiles can be utilized for disease detection and quantification. In this study, field asymmetric ion mobility spectrometry (FAIMS) was used to evaluate the VOC profile variability in a pea near isogenic line (Pisum sativum L.) inoculated with zoospores of Aphanomyces euteiches Drechs, which causes Aphanomyces root rot disease. Pots were filled with silica sand and six plants per pot were grown under controlled conditions in a randomized complete block design with four replications. Four treatments, namely non-inoculated, 1 × 105, 1 × 106, and 2.79 × 106 zoospores ml−1 were applied to plants at 5 and 7 days after emergence. FAIMS was used to collect volatile profiles at 2, 4, 7 and 9 days after inoculation. Specific regions of interest – extracted from the ion current intensity from the FAIMS spectra – were analyzed using ANOVA. Similarly, multiple regions of interest were evaluated using principal component analysis and k-means clustering. Ion current profiles and curvature profiles were incorporated into the analysis using k-means clustering. Other ground reference data such as root rot index and physiological parameters were also recorded. The results showed a biomarker in a specific region of interest demonstrating ample ability to quantify and differentiate treatment effects during non-destructive sampling at 14 DAE (7 DAI). Data from this region could be used for early and non-destructive quantification and differentiation of treatment effects based on zoospore inoculation levels. The k-means clustering of ion current and curvature profiles showed patterns based on the treatments. These findings demonstrated that FAIMS could be used as a tool to assess plant-pathogen interactions using volatile biomarkers to evaluate disease responses and severity under controlled conditions.
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来源期刊
Crop Protection
Crop Protection 农林科学-农艺学
CiteScore
6.10
自引率
3.60%
发文量
200
审稿时长
29 days
期刊介绍: The Editors of Crop Protection especially welcome papers describing an interdisciplinary approach showing how different control strategies can be integrated into practical pest management programs, covering high and low input agricultural systems worldwide. Crop Protection particularly emphasizes the practical aspects of control in the field and for protected crops, and includes work which may lead in the near future to more effective control. The journal does not duplicate the many existing excellent biological science journals, which deal mainly with the more fundamental aspects of plant pathology, applied zoology and weed science. Crop Protection covers all practical aspects of pest, disease and weed control, including the following topics: -Abiotic damage- Agronomic control methods- Assessment of pest and disease damage- Molecular methods for the detection and assessment of pests and diseases- Biological control- Biorational pesticides- Control of animal pests of world crops- Control of diseases of crop plants caused by microorganisms- Control of weeds and integrated management- Economic considerations- Effects of plant growth regulators- Environmental benefits of reduced pesticide use- Environmental effects of pesticides- Epidemiology of pests and diseases in relation to control- GM Crops, and genetic engineering applications- Importance and control of postharvest crop losses- Integrated control- Interrelationships and compatibility among different control strategies- Invasive species as they relate to implications for crop protection- Pesticide application methods- Pest management- Phytobiomes for pest and disease control- Resistance management- Sampling and monitoring schemes for diseases, nematodes, pests and weeds.
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