Multiplex PCR-based RFLP assay for early identification of prevalent Mycobacterium leprae genotypes.


Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 17 06 2023
revised: 26 08 2023
accepted: 09 09 2023
medline: 13 11 2023
pubmed: 14 10 2023
entrez: 13 10 2023
Statut: ppublish

Résumé

Mycobacterium leprae is classified into four SNP genotypes and 16 subtypes (from 1A to 4P) that exhibit phylogeographical association reported from around the world. Among them, genotypes 1D and 3I represent more than 60% of M. leprae strains. Here, we report a new method for M. leprae genotyping which identifies the genotypes 1D and 3I by combining multiplex PCR amplification and restriction fragment length polymorphism (RFLP) of a M. leprae DNA amplicons using AgeI restriction enzyme. Agarose gel electrophoresis showed a deletion of 11 bp only among 3I genotypes by electrophoresis. When this multiplex PCR reaction is subjected to AgeI digestion, successful restriction digestion shows three bands for all the genotypes except 1D where only two bands were observed due to loss of restriction site. This method gives us the advantage of 1-step identification of the two most prevalent strains of M. leprae without using specialized equipments such as the Sanger sequencing system or quantitative PCR.

Identifiants

pubmed: 37832201
pii: S0732-8893(23)00193-1
doi: 10.1016/j.diagmicrobio.2023.116084
pii:
doi:

Substances chimiques

DNA, Bacterial 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116084

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Purna Dwivedi (P)

ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India; The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India.

Mukul Sharma (M)

ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India.

Pushpendra Singh (P)

ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India. Electronic address: Pushpendra.S@icmr.gov.in.

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Classifications MeSH