Yu Zhang, Zhixuan Wei, Jinguang Zhang, Chunzhu Chen, Fuguo Liu
{"title":"Application of PCR and PCR-derived technologies for the detection of pathogens infecting crops","authors":"Yu Zhang, Zhixuan Wei, Jinguang Zhang, Chunzhu Chen, Fuguo Liu","doi":"10.1016/j.pmpp.2025.102589","DOIUrl":null,"url":null,"abstract":"<div><div>The occurrence of diseases often causes great losses to agricultural production. Recognizing and preventing various diseases and establishing detection techniques for disease-causing organisms are the basis for disease early warning and control. To date, there are various methods for pathogen detection, especially PCR and PCR-derived technologies. However, there methods lack uniform classification standards (testing time, operation procedure, and application). In addition, it is difficult to use all the detection methods in a reasonable combination to improve the accuracy of the results. The paper mainly reviews various PCR commonly used in the field of crop disease detection, including nested PCR, quantitative PCR, multiplex PCR, digital PCR, nanoparticle-assisted PCR, immuno PCR, reverse transcription PCR and other novel PCR (long PCR, GC-rich PCR, fast PCR, direct PCR, hot start PCR, touchdown PCR). The principles, advantages and shortcomings of these methods, as well as the progress of their application in the detection of pathogens, are summarized. In conclusion, detection methods are constantly updated, but the future direction of development still needs to be towards more accurate, economical, efficient and rapid. This review aims to provide a reference for research related to molecular identification of plant pathogens, plant disease monitoring and early warning.</div></div>","PeriodicalId":20046,"journal":{"name":"Physiological and Molecular Plant Pathology","volume":"136 ","pages":"Article 102589"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physiological and Molecular Plant Pathology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0885576525000281","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The occurrence of diseases often causes great losses to agricultural production. Recognizing and preventing various diseases and establishing detection techniques for disease-causing organisms are the basis for disease early warning and control. To date, there are various methods for pathogen detection, especially PCR and PCR-derived technologies. However, there methods lack uniform classification standards (testing time, operation procedure, and application). In addition, it is difficult to use all the detection methods in a reasonable combination to improve the accuracy of the results. The paper mainly reviews various PCR commonly used in the field of crop disease detection, including nested PCR, quantitative PCR, multiplex PCR, digital PCR, nanoparticle-assisted PCR, immuno PCR, reverse transcription PCR and other novel PCR (long PCR, GC-rich PCR, fast PCR, direct PCR, hot start PCR, touchdown PCR). The principles, advantages and shortcomings of these methods, as well as the progress of their application in the detection of pathogens, are summarized. In conclusion, detection methods are constantly updated, but the future direction of development still needs to be towards more accurate, economical, efficient and rapid. This review aims to provide a reference for research related to molecular identification of plant pathogens, plant disease monitoring and early warning.
期刊介绍:
Physiological and Molecular Plant Pathology provides an International forum for original research papers, reviews, and commentaries on all aspects of the molecular biology, biochemistry, physiology, histology and cytology, genetics and evolution of plant-microbe interactions.
Papers on all kinds of infective pathogen, including viruses, prokaryotes, fungi, and nematodes, as well as mutualistic organisms such as Rhizobium and mycorrhyzal fungi, are acceptable as long as they have a bearing on the interaction between pathogen and plant.