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Host Range and Loop-Mediated Isothermal Amplification Detection of Globisporangium sylvaticum from Guizhou, China

Jing ZhangKey Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, ChinaXiaonan SunKey Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, ChinaNingjing AoKey Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, ChinaHuayan ZouKey Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, ChinaHuijuan ShaoCollege of Resources and Environment, Shandong Agricultural University, Tai’an 271000, ChinaKoji KageyamaRiver Basin Research Center, Gifu University, 1-1 Yanagido, Gifu 501–1193, JapanWenzhuo FengKey Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, China
2023en
ABI

Аннотация

Globisporangium, especially G. sylvaticum, causes devastating root rot, blight, and other diseases in various species of cash crops. To investigate the distribution and host range of G. sylvaticum in Guizhou, a suitable habitat for this pathogen, we collected 156 root-diseased samples, isolated the pathogens, and found that G. sylvaticum is widespread and has eleven host plants, including four novel hosts. Furthermore, to effectively identify G. sylvaticum, we developed a simple and dependable method based on loop-mediated isothermal amplification (LAMP), which used a primer set designed from the internal transcribed spacer sequences with high specificity and sensitivity of 1 pg/μL. Additionally, to perform field identification, we used the “Plant-LAMP” method with crude DNA extraction to detect the pathogen in 45 root samples from nine species of plants. Our results showed that this method could effectively detect G. sylvaticum in diseased roots. Therefore, our findings not only enrich existing research on the diversity of pathogenic Globisporangium in Guizhou but also present an efficient LAMP field detection method that could significantly contribute to plant disease management and prevention.

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