New Multilocus Variable-Number Tandem-Repeat Analysis (MLVA) Scheme for Fine-Scale Monitoring and Microevolution-Related Study of Ralstonia pseudosolanacearum Phylotype I Populations

Autor: Fabien Guérin, Anne Latreille, Jérémy Guinard, Emmanuel Wicker, Stéphane Poussier
Přispěvatelé: Peuplements végétaux et bioagresseurs en milieu tropical (UMR PVBMT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université de La Réunion (UR), CASDAR C-2013-09, UMR Peuplement Végétaux et Bioagresseurs en Milieu Tropical (UMR PVBMT - INRA), Institut National de la Recherche Agronomique (INRA), Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de La Réunion (UR)-Institut National de la Recherche Agronomique (INRA)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Phylogénie
Identification
flétrissement bactérien
épidémiologie moléculaire
Polymorphisme génétique
VNTR
Adaptation
Biological

Population genetics
53 Peuplements Végétaux et Bioagresseurs en Milieu Tropical (PVBMT)
France a
Ralstonia
France b
Minisatellite Repeats
Applied Microbiology and Biotechnology
Génétique des populations
Methods
Marqueur génétique
Phylogeny
Soil Microbiology
2. Zero hunger
Genetics
Phylotype
Ralstonia solanacearum
Réunion
Molecular Epidemiology
Ecology
biology
Plant Stems
Virulence
CIRAD
Microevolution
Variable number tandem repeat
[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology
Denis
Multigene Family
Genetic structure
Epidemiological Monitoring
Rhizosphere
Biotechnology
microévolution
DNA
Bacterial

Genetic Markers
Genotype
Multiple Loci VNTR Analysis
Pôle de Protection des Plantes
bacterial wilt
Evolution
Molecular

03 medical and health sciences
Species Specificity
Surveillance épidémiologique
Analyse de séquence multilocus (MLSA)
Technique analytique
H20 - Maladies des plantes
Plant Diseases
Polymorphism
Genetic

Molecular epidemiology
Saint Pierre
MLVA
population biology
Genetic Variation
UMR 53 Peuplements Végétaux et Bioagresseurs en Milieu Tropical (PVBMT)
Sequence Analysis
DNA

15. Life on land
biology.organism_classification
Molecular Typing
030104 developmental biology
épidémiosurveillance
Saint
pseudomonas solanacearum
Food Science
Zdroj: Applied and Environmental Microbiology
Applied and Environmental Microbiology, American Society for Microbiology, 2017, 85 (4), ⟨10.1128/AEM.03095-16⟩
Applied and Environmental Microbiology, 2017, 85 (4), ⟨10.1128/AEM.03095-16⟩
ISSN: 0099-2240
1098-5336
DOI: 10.1128/AEM.03095-16⟩
Popis: Bacterial wilt caused by the Ralstonia solanacearum species complex (RSSC) is considered one of the most harmful plant diseases in the world. Special attention should be paid to R. pseudosolanacearum phylotype I due to its large host range, its worldwide distribution, and its high evolutionary potential. So far, the molecular epidemiology and population genetics of this bacterium are poorly understood. Until now, the genetic structure of the RSSC has been analyzed on the worldwide and regional scales. Emerging questions regarding evolutionary forces in RSSC adaptation to hosts now require genetic markers that are able to monitor RSSC field populations. In this study, we aimed to evaluate the multilocus variable-number tandem-repeat analysis (MLVA) approach for its ability to discriminate genetically close phylotype I strains and for population genetics studies. We developed a new MLVA scheme (MLVA-7) allowing us to genotype 580 R. pseudosolanacearum phylotype I strains extracted from susceptible and resistant hosts and from different habitats (stem, soil, and rhizosphere). Based on specificity, polymorphism, and the amplification success rate, we selected seven fast-evolving variable-number tandem-repeat (VNTR) markers. The newly developed MLVA-7 scheme showed higher discriminatory power than the previously published MLVA-13 scheme when applied to collections sampled from the same location on different dates and to collections from different locations on very small scales. Our study provides a valuable tool for fine-scale monitoring and microevolution-related study of R. pseudosolanacearum phylotype I populations. IMPORTANCE Understanding the evolutionary dynamics of adaptation of plant pathogens to new hosts or ecological niches has become a key point for the development of innovative disease management strategies, including durable resistance. Whereas the molecular mechanisms underlying virulence or pathogenicity changes have been studied thoroughly, the population genetics of plant pathogen adaptation remains an open, unexplored field, especially for plant-pathogenic bacteria. MLVA has become increasingly popular for epidemiosurveillance and molecular epidemiology studies of plant pathogens. However, this method has been used mostly for genotyping and identification on a regional or global scale. In this study, we developed a new MLVA scheme, targeting phylotype I of the soilborne Ralstonia solanacearum species complex (RSSC), specifically to address the bacterial population genetics on the field scale. Such a MLVA scheme, based on fast-evolving loci, may be a tool of choice for field experimental evolution and spatial genetics studies.
Databáze: OpenAIRE