ArticleApplied and environmental microbiology2015
New multilocus variable-number tandem-repeat analysis tool for surveillance and local epidemiology of bacterial leaf blight and bacterial leaf streak of rice caused by Xanthomonas oryzae.
Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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29 citing papers in PubMed, 70 citations in OpenAlex.
- Two domesticated species of rice shaped the population structure of Xanthomonas oryzae pv. oryzae in Africa.PLoS pathogens · 2026Article
- Large- and small-scale population structure ofApplied and environmental microbiology · 2025Article
- MGV-seq: a sensitive and culture-independent method for detecting microbial genetic variation.Frontiers in microbiology · 2025Article
- Genetic Structure and TALome Analysis Highlight a High Level of Diversity in Burkinabe Xanthomonas Oryzae pv. oryzae Populations.Rice (New York, N.Y.) · 2023Article
- Bacteriocin Production Correlates with Epidemiological Prevalence of Phylotype I Sequevar 18 Ralstonia pseudosolanacearum in Madagascar.Applied and environmental microbiology · 2023Article
- The RiceInternational journal of molecular sciences · 2022Article
- TAL Effectors with Avirulence Activity in African Strains of Xanthomonas oryzae pv. oryzae.Rice (New York, N.Y.) · 2022Article
- Inducible Enrichment of Osa-miR1432 Confers Rice Bacterial Blight Resistance through SuppressingInternational journal of molecular sciences · 2021Article
- Trends in Molecular Diagnosis and Diversity Studies for Phytosanitary RegulatedMicroorganisms · 2021Review
- Molecular Epidemiology ofMicroorganisms · 2021Article
- Different Cell Wall-Degradation Ability Leads to Tissue-Specificity betweenPathogens (Basel, Switzerland) · 2020Article
- The Green Revolution shaped the population structure of the rice pathogen Xanthomonas oryzae pv. oryzae.The ISME journal · 2020Article
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- CRISPR elements provide a new framework for the genealogy of the citrus canker pathogen Xanthomonas citri pv. citri.BMC genomics · 2019Article
- Analysis of genetic diversity of Xanthomonas oryzae pv. oryzae populations in Taiwan.Scientific reports · 2019Article
- A Pathovar ofFrontiers in plant science · 2019Article
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- Article
- Genome-based population structure analysis of the strawberry plant pathogen Xanthomonas fragariae reveals two distinct groups that evolved independently before its species description.Microbial genomics · 2018Article
- Functional analysis of African Xanthomonas oryzae pv. oryzae TALomes reveals a new susceptibility gene in bacterial leaf blight of rice.PLoS pathogens · 2018Article
Corrections and comments
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Authors and funding
16 authors at 3 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multilocus variable-number tandem-repeat analysis (MLVA) is efficient for routine typing and for investigating the genetic structures of natural microbial populations. Two distinct pathovars of Xanthomonas oryzae can cause significant crop losses in tropical and temperate rice-growing countries. Bacterial leaf streak is caused by X. oryzae pv. oryzicola, and bacterial leaf blight is caused by X. oryzae pv. oryzae. For the latter, two genetic lineages have been described in the literature. We developed a universal MLVA typing tool both for the identification of the three X. oryzae genetic lineages and for epidemiological analyses. Sixteen candidate variable-number tandem-repeat (VNTR) loci were selected according to their presence and polymorphism in 10 draft or complete genome sequences of the three X. oryzae lineages and by VNTR sequencing of a subset of loci of interest in 20 strains per lineage. The MLVA-16 scheme was then applied to 338 strains of X. oryzae representing different pathovars and geographical locations. Linkage disequilibrium between MLVA loci was calculated by index association on different scales, and the 16 loci showed linear Mantel correlation with MLSA data on 56 X. oryzae strains, suggesting that they provide a good phylogenetic signal. Furthermore, analyses of sets of strains for different lineages indicated the possibility of using the scheme for deeper epidemiological investigation on small spatial scales.
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