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用于水稻白叶枯病和细菌性条斑病监测及本地流行病学研究的新型多位点可变数目串联重复序列分析工具,由稻黄单胞菌引起。

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.

作者信息

Poulin L, Grygiel P, Magne M, Gagnevin L, Rodriguez-R L M, Forero Serna N, Zhao S, El Rafii M, Dao S, Tekete C, Wonni I, Koita O, Pruvost O, Verdier V, Vernière C, Koebnik R

机构信息

UMR 186 Résistance des Plantes aux Bio-Agresseurs, Institut de Recherche pour le Développement, Montpellier, France.

UMR PVBMT, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Saint-Pierre, La Réunion, France.

出版信息

Appl Environ Microbiol. 2015 Jan;81(2):688-98. doi: 10.1128/AEM.02768-14. Epub 2014 Nov 14.

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.

摘要

多位点可变数目串联重复序列分析(MLVA)对于常规分型以及研究天然微生物群体的遗传结构非常有效。水稻黄单胞菌的两个不同致病型可在热带和温带水稻种植国家造成重大作物损失。细菌性条斑病由水稻黄单胞菌稻生致病变种引起,而细菌性叶枯病由水稻黄单胞菌稻黄单胞菌致病变种引起。对于后者,文献中已描述了两个遗传谱系。我们开发了一种通用的MLVA分型工具,用于鉴定水稻黄单胞菌的三个遗传谱系以及进行流行病学分析。根据16个候选可变数目串联重复序列(VNTR)位点在水稻黄单胞菌三个谱系的10个草图或完整基因组序列中的存在情况和多态性,以及通过对每个谱系20个菌株中感兴趣的部分位点进行VNTR测序,选择了这些位点。然后将MLVA - 16方案应用于代表不同致病型和地理位置的338株水稻黄单胞菌。通过在不同尺度上的指数关联计算MLVA位点之间的连锁不平衡,并且16个位点与56株水稻黄单胞菌的MLSA数据显示出线性Mantel相关性,这表明它们提供了良好的系统发育信号。此外,对不同谱系菌株组的分析表明,该方案有可能用于在小空间尺度上进行更深入的流行病学调查。

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本文引用的文献

1
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