Rapid multiple-locus variable-number tandem-repeats analysis of Shigella spp. using multicolour capillary electrophoresis

Rawal, Monica; Hoff, E.; Aas-Pedersen, Lena; Haugum, Kjersti; Lindstedt, Bjørn-Arne

doi:10.1016/j.mimet.2010.10.006

Cited by 9 publications

(9 citation statements)

References 38 publications

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“…An additional discovery was that this MLVA assay seemed to be sensitive to serotypes within some Shigella species, e.g. S. flexneri serotype 6 and S. dysenteriae serotypes 1 and 2 seemed to form distinct and well recognisable subclusters (Rawal et al, 2010). Shigella is relatively rare in Norway, even so the assay indicated a possible outbreak by S. sonnei already during its implementation phase (Heier et al, 2009).…”

Section: Shigella Spp Genotypingmentioning

confidence: 98%

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Genotyping of selected bacterial enteropathogens in Norway

Lindstedt

2011

International Journal of Medical Microbiology

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Section: Shigella Spp Genotypingmentioning

confidence: 98%

“…The groups generally separate well by MLVA, with one exception where an identical MLVA genotype contains both an enteropathogenic and a NON strain. loci for genotyping (Rawal et al, 2010). This proved to be a fast assay to perform as all the primers multiplexed well into one separate PCR amplification.…”

Section: Shigella Spp Genotypingmentioning

confidence: 99%

Genotyping of selected bacterial enteropathogens in Norway

Lindstedt

2011

International Journal of Medical Microbiology

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“…Thus, Rawal et al [27] analyzed this important pathogen using a fast and reliable MLVA-CE based on seven polymorphous VNTRs of all Shigella species. In total 194 distinct MLVA-genotypes were obtained for 235 Shigella spp, and they found that MLVA-CE was fast and robust for detecting Shigella.…”

Section: Detecting and Diagnosing Bacteriamentioning

confidence: 99%

Capillary electrophoresis based on nucleic acid detection for diagnosing human infectious disease

Lian

Zhao

2016

Clinical Chemistry and Laboratory Medicine (CCLM)

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Rapid transmission, high morbidity, and mortality are the features of human infectious diseases caused by microorganisms, such as bacteria, fungi, and viruses. These diseases may lead within a short period of time to great personal and property losses, especially in regions where sanitation is poor. Thus, rapid diagnoses are vital for the prevention and therapeutic intervention of human infectious diseases. Several conventional methods are often used to diagnose infectious diseases, e.g. methods based on cultures or morphology, or biochemical tests based on metabonomics. Although traditional methods are considered gold standards and are used most frequently, they are laborious, time consuming, and tedious and cannot meet the demand for rapid diagnoses. Disease diagnosis using capillary electrophoresis methods has the advantages of high efficiency, high throughput, and high speed, and coupled with the different nucleic acid detection strategies overcomes the drawbacks of traditional identification methods, precluding many types of false positive and negative results. Therefore, this review focuses on the application of capillary electrophoresis based on nucleic detection to the diagnosis of human infectious diseases, and offers an introduction to the limitations, advantages, and future developments of this approach.

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“…Multiple‐locus variable‐number tandem‐repeat analysis is a fast, relatively inexpensive and easy to perform molecular typing technique in comparison with PFGE . Furthermore, MLVA has a good discriminatory power for typing S. sonnei strains isolated from sporadic cases and outbreaks in various parts of the world and has been shown to complement the results obtained with other molecular typing techniques .…”

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confidence: 97%

Molecular typing and occurrence of beta‐lactam resistance genes of Shigella sonnei strains isolated from 1983 to 2014 in the São Paulo state of Brazil

Seribelli

Frazão

Medeiros

et al. 2017

Microbiology and Immunology

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Shigella sonnei, which has generally been associated with dysentery in developed countries, has recently been emerging in developing countries. Specifically, in Brazil few published studies have that molecularly characterized this species. The aims of this study were to analyze the efficacy of typing using multiple-locus variable-number tandem-repeat analysis (MLVA), study the phylogeny by multi-locus sequence typing (MLST) and assess the presence of some beta-lactam resistance genes in S. sonnei strains isolated from human diarrhoeic faeces in the São Paulo State in Brazil between 1983 and 2014. Seventy-two such S. sonnei strains were typed by MLVA and grouped into two clusters. The discrimination index of MLVA was found to be 0.996. Twenty strains were typed by MLST as ST152. In addition, the bla gene was detected in eight (72.7%) of the 11 S. sonnei strains that had previously been shown to be resistant to β-lactams. However, bla , bla and bla genes were not found. MLVA results suggested the existence of two prevalent subtypes in the S. sonnei strains studied, confirming previous results. Moreover, MLVA efficiently discriminated monomorphic S. sonnei species. Because the S. sonnei strains studied belonged to clonal complex 152 and all isolates were typed as ST152, MLST is not a suitable method for studying the population structure of S. sonnei. Although, the rates of β-lactam resistance were not high in the present study, the frequency of bla may represent a risk for patients receiving antimicrobial treatment. Taken together, the results provide better molecular characterization of this globally clinically important pathogen.

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Rapid multiple-locus variable-number tandem-repeats analysis of Shigella spp. using multicolour capillary electrophoresis

Cited by 9 publications

References 38 publications

Genotyping of selected bacterial enteropathogens in Norway

Genotyping of selected bacterial enteropathogens in Norway

Capillary electrophoresis based on nucleic acid detection for diagnosing human infectious disease

Molecular typing and occurrence of beta‐lactam resistance genes of Shigella sonnei strains isolated from 1983 to 2014 in the São Paulo state of Brazil

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