Phylogeny and Population Structure of Brown Rot- and Moko Disease-Causing Strains of Ralstonia solanacearum Phylotype II

Cellier, Gilles; Remenant, Benoît; Chiroleu, Frédéric; Lefeuvre, Pierre; Prior, Philippe

doi:10.1128/aem.06123-11

Cited by 37 publications

(30 citation statements)

References 39 publications

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“…The data analyzed here are described in Cellier et al [39] (available at http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-878). Briefly, 72 R. solanacearum strains were hybridized onto CGH pan-genomic microarrays.…”

Section: Methodsmentioning

confidence: 99%

Constraints on Genome Dynamics Revealed from Gene Distribution among the Ralstonia solanacearum Species

et al. 2013

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Because it is suspected that gene content may partly explain host adaptation and ecology of pathogenic bacteria, it is important to study factors affecting genome composition and its evolution. While recent genomic advances have revealed extremely large pan-genomes for some bacterial species, it remains difficult to predict to what extent gene pool is accessible within or transferable between populations. As genomes bear imprints of the history of the organisms, gene distribution pattern analyses should provide insights into the forces and factors at play in the shaping and maintaining of bacterial genomes. In this study, we revisited the data obtained from a previous CGH microarrays analysis in order to assess the genomic plasticity of the R. solanacearum species complex. Gene distribution analyses demonstrated the remarkably dispersed genome of R. solanacearum with more than half of the genes being accessory. From the reconstruction of the ancestral genomes compositions, we were able to infer the number of gene gain and loss events along the phylogeny. Analyses of gene movement patterns reveal that factors associated with gene function, genomic localization and ecology delineate gene flow patterns. While the chromosome displayed lower rates of movement, the megaplasmid was clearly associated with hot-spots of gene gain and loss. Gene function was also confirmed to be an essential factor in gene gain and loss dynamics with significant differences in movement patterns between different COG categories. Finally, analyses of gene distribution highlighted possible highways of horizontal gene transfer. Due to sampling and design bias, we can only speculate on factors at play in this gene movement dynamic. Further studies examining precise conditions that favor gene transfer would provide invaluable insights in the fate of bacteria, species delineation and the emergence of successful pathogens.

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Section: Methodsmentioning

confidence: 99%

Constraints on Genome Dynamics Revealed from Gene Distribution among the Ralstonia solanacearum Species

et al. 2013

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“…Genomic data for nine new R. solanacearum strains also confirmed this classification (Remenant et al ., , , ). Thanks to the overwhelming phylogenetic data on phylotype II strains, it has been suggested that this phylotype should be divided into two subgroups IIA and IIB (Castillo and Greenberg, ; Cellier et al ., ). It cannot be excluded that deeper sampling in the other phylotypes may also result in a similar refinement of classification.…”

Section: A Classification Into Four Phylotypesmentioning

confidence: 97%

“…However, host specialization in the R. solanacearum species complex has rarely been described in detail. For example, pathogenicity tests under controlled conditions found that most Moko strains are also virulent to susceptible tomato and potato (Cellier et al, 2012). Many studies have been conducted to tentatively identify the genes associated with host specificity.…”

Section: Host Rangementioning

confidence: 99%

“…Indeed, the isolation of IIB-4NPB strains from wilted tomatoes or wilted cucurbits was only reported on fields that followed a previous banana crop (Wicker et al, 2009). Interestingly, IIB-4NPB strains were also isolated in Brazil from cucurbits (Cellier et al, 2012). Because Brazil is a Moko disease area, it is also possible that IIB-4NPB strains emerged in Brazil and established in Martinique through movement of contaminated ornamental material, such as Anthurium.…”

Section: Emergence Of Strains With a New Host Rangementioning

confidence: 99%

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Ralstonia solanacearum, a widespread bacterial plant pathogen in the post‐genomic era

Peeters

Guidot

Vailleau

et al. 2013

Molecular Plant Pathology

298

208

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Summary Ralstonia solanacearum is a soil‐borne bacterium causing the widespread disease known as bacterial wilt. Ralstonia solanacearum is also the causal agent of Moko disease of banana and brown rot of potato. Since the last R. solanacearum pathogen profile was published 10 years ago, studies concerning this plant pathogen have taken a genomic and post‐genomic direction. This was pioneered by the first sequenced and annotated genome for a major plant bacterial pathogen and followed by many more genomes in subsequent years. All molecular features studied now have a genomic flavour. In the future, this will help in connecting the classical field of pathology and diversity studies with the gene content of specific strains. In this review, we summarize the recent research on this bacterial pathogen, including strain classification, host range, pathogenicity determinants, regulation of virulence genes, type III effector repertoire, effector‐triggered immunity, plant signalling in response to R. solanacearum, as well as a review of different new pathosystems. Taxonomy Bacteria; Proteobacteria; β subdivision; Ralstonia group; genus Ralstonia. Disease symptoms Ralstonia solanacearum is the agent of bacterial wilt of plants, characterized by a sudden wilt of the whole plant. Typically, stem cross‐sections will ooze a slimy bacterial exudate. In the case of Moko disease of banana and brown rot of potato, there is also visible bacterial colonization of banana fruit and potato tuber. Disease control As a soil‐borne pathogen, infected fields can rarely be reused, even after rotation with nonhost plants. The disease is controlled by the use of resistant and tolerant plant cultivars. The prevention of spread of the disease has been achieved, in some instances, by the application of strict prophylactic sanitation practices. Useful websites Stock centre: International Centre for Microbial Resources—French Collection for Plant‐associated Bacteria CIRM‐CFBP, IRHS UMR 1345 INRA‐ACO‐UA, 42 rue Georges Morel, 49070 Beaucouzé Cedex, France, http://www.angers-nantes.inra.fr/cfbp/. Ralstonia Genome browser: https://iant.toulouse.inra.fr/R.solanacearum. GMI1000 insertion mutant library: https://iant.toulouse.inra.fr/R.solanacearumGMI1000/GenomicResources. MaGe Genome Browser: https://www.genoscope.cns.fr/agc/microscope/mage/viewer.php?

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“…Most BXW management practices were developed for moko disease, a bacterial wilt of banana caused by Ralstonia solanacearum phylotype II (Cellier et al ., ). Moko disease resembles BXW with respect to its epidemiology and the damage it causes (Thwaites et al ., ).…”

Section: Introductionmentioning

confidence: 97%

Local and regional spread of banana xanthomonas wilt (BXW) in space and time in Kagera, Tanzania

et al. 2016

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Banana is an important crop in the Kagera region of Tanzania. Banana xanthomonas wilt (BXW) was first reported in Kagera in 2006, and is now an important limiting factor in banana production, because all cultivars are susceptible and infected plants can fail to produce fruit. BXW is caused by Xanthomonas campestris pv. musacearum (Xcm), which is spread by farm tools, infected planting materials, and pollinating insects. Practices that address Xcm dissemination, such as mat removal, debudding and tool sterilization, have not prevented the spread of BXW in the region. Disease surveys were conducted in Kagera from 2007 to 2011 to assess BXW presence, monitor its intensity and evaluate its socioeconomic impacts. Spatiotemporal clusters of BXW were analysed with ARCGIS and SAS. The relationship between BXW clusters and environmental variables was examined using bivariate correlations in SPSS; two modelling approaches, MaxEnt (maximum entropy) and logistic regression, were used to predict the potential distribution of BXW in Tanzania. Disease progress over time was best described with the Gompertz model. Significant clustering of BXW was observed in all years and hotspots were located in the Muleba, Karagwe, Misenyi and Bukoba rural districts. These findings suggest that BXW spreads rapidly over short distances. BXW clusters were positively correlated with rainfall and negatively with temperature and altitude. According to MaxEnt, precipitation was the main factor associated with BXW development. MaxEnt and logistic regression predicted a wide potential distribution of BXW in Tanzania because the climate in all banana-growing regions is conducive for its establishment.

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Phylogeny and Population Structure of Brown Rot- and Moko Disease-Causing Strains of Ralstonia solanacearum Phylotype II

Cited by 37 publications

References 39 publications

Constraints on Genome Dynamics Revealed from Gene Distribution among the Ralstonia solanacearum Species

Constraints on Genome Dynamics Revealed from Gene Distribution among the Ralstonia solanacearum Species

Ralstonia solanacearum, a widespread bacterial plant pathogen in the post‐genomic era

Local and regional spread of banana xanthomonas wilt (BXW) in space and time in Kagera, Tanzania

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