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REVIEW article
Front. Microbiol.
Sec. Microbe and Virus Interactions with Plants
Volume 15 - 2024 |
doi: 10.3389/fmicb.2024.1460729
Advances in the detection technology of vegetable soil borne fungi and bacteria
Provisionally accepted- 1 Hebei Agricultural University, Baoding, Hebei, China
- 2 College of Horticulture, Agricultural University of Hebei, Baoding, China
Soil borne diseases are one of the most serious diseases which often results the decline of vegetables quality and loss of production. Moreover, it is difficult for plants to exhibit disease symptoms in the early stages attributing to strong concealment of soil borne pathogens. Therefore, early detection of pathogens and their physiological races plays an important role in reducing the harm of pathogens associated with diseases of vegetable crops. . The traditional diagnostic techniques relied on the time consuming and less accurate methods like disease symptom observation, microscopic diagnosis, and culture techniques etc. The development of molecular biology technology has brought revolutionary changes to the diagnosis of vegetable soil borne diseases, improving the accuracy and efficiency of diagnosis. This paper reviews the various molecular detection techniques for vegetable soil borne pathogens (PCR, nested-PCR, multiplex PCR, etc.) and their physiological races (host identification, DNA molecular markers, transposon detection, etc.), explains the advantages and disadvantages of each detection technique. Furthermore, the paper comprehensively introduces the application of molecular detection technology for soil borne pathogen detection in soil, plants, and seeds. Finally, we put forward important perspectives for the future development of rapid detection methods, aiming to promote rapid diagnosis of soil pathogenic microorganisms and provide guidance for the control of biological risks.
Keywords: vegetable, Soil borne pathogens, Detection techniques, Primer information, physiological races
Received: 08 Jul 2024; Accepted: 28 Oct 2024.
Copyright: © 2024 Lida, Lü, Yang, Lu, Gong, Wu, Li and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Chen Lida, Hebei Agricultural University, Baoding, 071001, Hebei, China
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