Development of a Multilocus sequence typing (MLST) scheme for Pan-Leishmania.
Multilocus sequence typing
Optimization
Pan-Leishmania
Journal
Acta tropica
ISSN: 1873-6254
Titre abrégé: Acta Trop
Pays: Netherlands
ID NLM: 0370374
Informations de publication
Date de publication:
Jan 2020
Jan 2020
Historique:
received:
25
06
2019
revised:
06
09
2019
accepted:
19
09
2019
pubmed:
4
10
2019
medline:
6
2
2020
entrez:
4
10
2019
Statut:
ppublish
Résumé
Since the description of the Leishmania genus, its identification and organization have been a challenge. A high number of molecular markers have been developed to resolve phylogenetic differences at the species level and for addressing key epidemiological and population genetics questions. Based on Multilocus enzyme electrophoresis (MLEE), Multilocus sequence typing (MLST) schemes have been developed using different gene candidates. From 38 original gene targets proposed by other authors, 27 of them were chosen. In silico selection was made by analyzing free access genomic sequence data of 33 Leishmania species, one Paraleishmania representative, and one outgroup, in order to select the best 15 loci. De novo amplifications and primers redesign of these 15 genes were analyzed over a panel of 20 reference strains and isolates. Phylogenetic analysis was made at every step. Two MLST schemes were selected. The first one was based on the analysis of three-gene fragments, and it is suitable for species assignment as well as basic phylogenetic studies. By the addition of seven-genes, an approach based on the analysis of ten-gene fragments was also proposed. This is the first work that two optimized MLST schemes have been suggested, validated against a phylogenetically diverse panel of Leishmania isolates. MLST is potentially a powerful phylogenetic approach, and most probably the new gold standard for Leishmania spp. characterization.
Identifiants
pubmed: 31580847
pii: S0001-706X(19)30844-7
doi: 10.1016/j.actatropica.2019.105189
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
105189Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.