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细菌性植物病原体的检测、诊断与预防性管理

Detection, Diagnosis, and Preventive Management of the Bacterial Plant Pathogen .

作者信息

Yang Piao, Zhao Lijing, Gao Yu Gary, Xia Ye

机构信息

Department of Plant Pathology, College of Food, Agricultural, and Environmental Science, The Ohio State University, Columbus, OH 43210, USA.

OSU South Centers, The Ohio State University, 1864 Shyville Road, Piketon, OH 45661, USA.

出版信息

Plants (Basel). 2023 Apr 25;12(9):1765. doi: 10.3390/plants12091765.

Abstract

Plant diseases caused by the pathogen are serious problems for various plant species worldwide. Accurate detection and diagnosis of infections are critical for the effective management of these plant diseases. In this review, we summarize the current methods for the detection and diagnosis of , including traditional techniques such as culture isolation and microscopy, and relatively newer techniques such as PCR and ELISA. It should be noted that each method has its advantages and disadvantages, and the choice of each method depends on the specific requirements, resources of each laboratory, and field settings. We also discuss the future trends in this field, such as the need for more sensitive and specific methods to detect the pathogens at low concentrations and the methods that can be used to diagnose infections that are co-existing with other pathogens. Modern technologies such as genomics and proteomics could lead to the development of new methods of highly accurate detection and diagnosis based on the analysis of genetic and protein markers of the pathogens. Furthermore, using machine learning algorithms to analyze large data sets could yield new insights into the biology of and novel diagnostic strategies. This review could enhance our understanding of and help foster the development of more effective management techniques of the diseases caused by related pathogens.

摘要

由该病原体引起的植物病害是全球各种植物物种面临的严重问题。对感染进行准确检测和诊断对于有效管理这些植物病害至关重要。在本综述中,我们总结了当前用于检测和诊断该病原体的方法,包括传统技术如培养分离和显微镜检查,以及相对较新的技术如PCR和ELISA。应该注意的是,每种方法都有其优缺点,每种方法的选择取决于每个实验室的具体要求、资源以及田间环境。我们还讨论了该领域的未来趋势,例如需要更灵敏和特异的方法来检测低浓度的病原体,以及可用于诊断与其他病原体共存的该病原体感染的方法。基因组学和蛋白质组学等现代技术可能会基于对病原体的遗传和蛋白质标记物的分析,导致开发出高度准确的检测和诊断新方法。此外,使用机器学习算法分析大数据集可能会对该病原体的生物学特性产生新的见解并带来新的诊断策略。本综述可以增进我们对该病原体的理解,并有助于促进开发更有效的由相关病原体引起的病害管理技术。

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