Development of Species-Specific Multiplex PCR for Leishmania identification.

Leishmania identification molecular markers multiplex PCR

Journal

Acta tropica
ISSN: 1873-6254
Titre abrégé: Acta Trop
Pays: Netherlands
ID NLM: 0370374

Informations de publication

Date de publication:
22 Oct 2024
Historique:
received: 14 06 2024
revised: 18 10 2024
accepted: 21 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 24 10 2024
Statut: aheadofprint

Résumé

Leishmaniasis is a diverse group of clinical diseases caused by protozoan parasites of the Leishmania genus. Species-specific identification of Leishmania spp. is challenging due to the high number of different pathogenic species that sometimes co-circulate in the same foci, hampering efforts to effectively control the disease. Multiplex PCR is an attractive alternative for rapid differentiation of Leishmania species with high sensitivity and specificity. We aimed to generate a panel of primers optimized for a multiplex PCR assay capable of identifying different Leishmania species in a single reaction. Species-specific primers were designed based on genomic data using the TipMT tool. Potential non-specific amplifications of other trypanosomatids as well as human, dog, and sandfly hosts were first evaluated in silico using the Primer-Blast tool. Species-specific primers for Leishmania amazonensis, Leishmania braziliensis, Leishmania donovani, Leishmania infantum, Leishmania mexicana and for the Leishmania guyanensis complex were tested in vitro. The primers have a limit of detection ranging from 1 to 0.01 ng of parasite gDNA using the same annealing temperature of 66°C. The primers were specific for their targets when tested against 13 species of Leishmania, six trypanosomatids, and Babesia sp., and to detect the target species in a prepared pool with gDNA of six pathogenic Leishmania species. The designed primers were optimized for multiplex PCR, enabling species-specific identification of all five Leishmania species and one species complex. This new primer set could allow for efficient, fast, and reliable identification of Leishmania parasites.

Identifiants

pubmed: 39447953
pii: S0001-706X(24)00321-8
doi: 10.1016/j.actatropica.2024.107440
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107440

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

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

Gabrielle A Bento (GA)

Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Minas Gerais, Brasil.

Mariana S Cardoso (MS)

Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Minas Gerais, Brasil.

Beatriz R Ferreira (BR)

Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Minas Gerais, Brasil.

Gabriela F Rodrigues-Luiz (GF)

Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Minas Gerais, Brasil.

Thiago de S Rodrigues (TS)

Departamento de Computação, Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte, Minas Gerais, Brasil.

Célia M F Gontijo (CMF)

Instituto René Rachou /IRR- Fiocruz Minas, Belo Horizonte, 30190-002, Minas Gerais, Brasil.

Maurício Roberto Viana Sant'Anna (MRV)

Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Minas Gerais, Brasil.

Hugo O Valdivia (HO)

Department of Parasitology, U.S. Naval Medical Research Unit SOUTH (NAMRU SOUTH), Lima, Peru.

Silvia Gonçalves Mesquita (SG)

Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Minas Gerais, Brasil.

Daniella C Bartholomeu (DC)

Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Minas Gerais, Brasil. Electronic address: daniellaufmg@gmail.com.

Classifications MeSH