scholarly journals A novel multilocus variable number tandem repeat analysis typing scheme for African phylotype III strains of theRalstonia solanacearumspecies complex

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1949 ◽  
Author(s):  
Santatra Ravelomanantsoa ◽  
Isabelle Robène ◽  
Frédéric Chiroleu ◽  
Fabien Guérin ◽  
Stéphane Poussier ◽  
...  

Background.Reliable genotyping that provides an accurate description of diversity in the context of pathogen emergence is required for the establishment of strategies to improve disease management. MultiLocus variable number tandem repeat analysis (MLVA) is a valuable genotyping method. It can be performed at small evolutionary scales where high discriminatory power is needed. Strains of theRalstonia solanacearumspecies complex (RSSC) are highly genetically diverse. These destructive pathogens are the causative agent of bacterial wilt on an unusually broad range of host plants worldwide. In this study, we developed an MLVA scheme for genotyping the African RSSC phylotype III.Methods.We selected different publicly available tandem repeat (TR) loci and additional TR loci from the genome of strain CMR15 as markers. Based on these loci, a new phylotype III-MLVA scheme is presented. MLVA and multiLocus sequence typing (MLST) were compared at the global, regional, and local scales. Different populations of epidemiologically related and unrelated RSSC phylotype III strains were used.Results and Discussion.Sixteen polymorphic TR loci, which included seven microsatellites and nine minisatellites, were selected. These TR loci were distributed throughout the genome (chromosome and megaplasmid) and located in both coding and intergenic regions. The newly developed RS3-MLVA16 scheme was more discriminative than MLST. RS3-MLVA16 showed good ability in differentiating strains at global, regional, and local scales, and it especially highlighted epidemiological links between closely related strains at the local scale. RS3-MLVA16 also underlines genetic variability within the same MLST-type and clonal complex, and gives a first overview of population structure. Overall, RS3-MLVA16 is a promising genotyping method for outbreak investigation at a fine scale, and it could be used for outbreak investigation as a first-line, low-cost assay for the routine screening of RSSC phylotype III.

2004 ◽  
Vol 186 (16) ◽  
pp. 5496-5505 ◽  
Author(s):  
Leo M. Schouls ◽  
Han G. J. van der Heide ◽  
Luc Vauterin ◽  
Paul Vauterin ◽  
Frits R. Mooi

ABSTRACT Bordetella pertussis, the causative agent of whooping cough, has remained endemic in The Netherlands despite extensive nationwide vaccination since 1953. In the 1990s, several epidemic periods have resulted in many cases of pertussis. We have proposed that strain variation has played a major role in the upsurges of this disease in The Netherlands. Therefore, molecular characterization of strains is important in identifying the causes of pertussis epidemiology. For this reason, we have developed a multiple-locus variable-number tandem repeat analysis (MLVA) typing system for B. pertussis. By combining the MLVA profile with the allelic profile based on multiple-antigen sequence typing, we were able to further differentiate strains. The relationships between the various genotypes were visualized by constructing a minimum spanning tree. MLVA of Dutch strains of B. pertussis revealed that the genotypes of the strains isolated in the prevaccination period were diverse and clearly distinct from the strains isolated in the 1990s. Furthermore, there was a decrease in diversity in the strains from the late 1990s, with a remarkable clonal expansion that coincided with the epidemic periods. Using this genotyping, we have been able to show that B. pertussis is much more dynamic than expected.


2019 ◽  
Vol 16 (2) ◽  
pp. 104-113 ◽  
Author(s):  
Sutima Preeprem ◽  
Kamonnut Singkhamanan ◽  
Mitsuaki Nishibuchi ◽  
Varaporn Vuddhakul ◽  
Pimonsri Mittraparp-arthorn

2020 ◽  
Vol 249 ◽  
pp. 108836
Author(s):  
Dorottya Földi ◽  
Katinka Bekő ◽  
Orsolya Felde ◽  
Zsuzsa Kreizinger ◽  
Áron B. Kovács ◽  
...  

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