Virulence and DNA fingerprinting analysis of Xanthomonas oryzae pv. oryzae identify a new pathotype in Guangxi, South China

Bacterial blight caused by Xanthomonas oryzae pv. oryzae (Xoo) is one of the most destructive diseases affecting rice worldwide. However, little is known about the population structure of this organism in Guangxi Zhuang Autonomous Region, South China. Here, pathotypic and DNA fingerprint analyses we...

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Published inJournal of basic microbiology Vol. 59; no. 11; pp. 1082 - 1091
Main Authors Chen, Xiaolin, Wei, Shanfu, Yan, Qun, Huang, Fengkuan, Ma, Zengfeng, Li, Ruifang, Cen, Zhenlu, Yan, Weihong, Li, Kunhua
Format Journal Article
LanguageEnglish
Published Germany 01.11.2019
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Summary:Bacterial blight caused by Xanthomonas oryzae pv. oryzae (Xoo) is one of the most destructive diseases affecting rice worldwide. However, little is known about the population structure of this organism in Guangxi Zhuang Autonomous Region, South China. Here, pathotypic and DNA fingerprint analyses were conducted to characterize the isolates of Xoo collected from rice leaves in five districts of the region from 2013 to 2016. Their pathogenicity was tested by leaf clipping, and the DNA fingerprints were analyzed by repetitive sequence‐based polymerase chain reaction and endogenous insertion sequence element‐based polymerase chain reaction assays using the repetitive extragenic palindromic sequence and enterobacterial repetitive intergenic consensus primers, respectively. Pathogenicity assays of 70 representative isolates were conducted using a series of near‐isogenic lines and two new pathotypes were identified. All the pathotypes were found to be incompatible with xa5 and Xa7. One pathotype was virulent to Xa14, Xa21, and Xa23, whereas another virulent to Xa21 and Xa23, but incompatible with Xa14. A dendrogram generated for the data sets obtained from DNA fingerprinting suggested the prevalence of high genetic diversity of Xoo throughout Guangxi, and no association between the molecular haplotypes and pathotypes was identified.
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ISSN:0233-111X
1521-4028
DOI:10.1002/jobm.201900354