Cargando…

Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation

With the emergence of leishmaniasis in new regions around the world, molecular epidemiological methods with adequate discriminatory power, reproducibility, high throughput and inter-laboratory comparability are needed for outbreak investigation of this complex parasitic disease. As multilocus sequen...

Descripción completa

Detalles Bibliográficos
Autores principales: Marlow, Mariel A., Boité, Mariana C., Ferreira, Gabriel Eduardo M., Steindel, Mario, Cupolillo, Elisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3923721/
https://www.ncbi.nlm.nih.gov/pubmed/24551258
http://dx.doi.org/10.1371/journal.pntd.0002695
_version_ 1782303642694451200
author Marlow, Mariel A.
Boité, Mariana C.
Ferreira, Gabriel Eduardo M.
Steindel, Mario
Cupolillo, Elisa
author_facet Marlow, Mariel A.
Boité, Mariana C.
Ferreira, Gabriel Eduardo M.
Steindel, Mario
Cupolillo, Elisa
author_sort Marlow, Mariel A.
collection PubMed
description With the emergence of leishmaniasis in new regions around the world, molecular epidemiological methods with adequate discriminatory power, reproducibility, high throughput and inter-laboratory comparability are needed for outbreak investigation of this complex parasitic disease. As multilocus sequence analysis (MLSA) has been projected as the future gold standard technique for Leishmania species characterization, we propose a MLSA panel of six housekeeping gene loci (6pgd, mpi, icd, hsp70, mdhmt, mdhnc) for investigating intraspecific genetic variation of L. (Viannia) braziliensis strains and compare the resulting genetic clusters with several epidemiological factors relevant to outbreak investigation. The recent outbreak of cutaneous leishmaniasis caused by L. (V.) braziliensis in the southern Brazilian state of Santa Catarina is used to demonstrate the applicability of this technique. Sequenced fragments from six genetic markers from 86 L. (V.) braziliensis strains from twelve Brazilian states, including 33 strains from Santa Catarina, were used to determine clonal complexes, genetic structure, and phylogenic networks. Associations between genetic clusters and networks with epidemiological characteristics of patients were investigated. MLSA revealed epidemiological patterns among L. (V.) braziliensis strains, even identifying strains from imported cases among the Santa Catarina strains that presented extensive homogeneity. Evidence presented here has demonstrated MLSA possesses adequate discriminatory power for outbreak investigation, as well as other potential uses in the molecular epidemiology of leishmaniasis.
format Online
Article
Text
id pubmed-3923721
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-39237212014-02-18 Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation Marlow, Mariel A. Boité, Mariana C. Ferreira, Gabriel Eduardo M. Steindel, Mario Cupolillo, Elisa PLoS Negl Trop Dis Research Article With the emergence of leishmaniasis in new regions around the world, molecular epidemiological methods with adequate discriminatory power, reproducibility, high throughput and inter-laboratory comparability are needed for outbreak investigation of this complex parasitic disease. As multilocus sequence analysis (MLSA) has been projected as the future gold standard technique for Leishmania species characterization, we propose a MLSA panel of six housekeeping gene loci (6pgd, mpi, icd, hsp70, mdhmt, mdhnc) for investigating intraspecific genetic variation of L. (Viannia) braziliensis strains and compare the resulting genetic clusters with several epidemiological factors relevant to outbreak investigation. The recent outbreak of cutaneous leishmaniasis caused by L. (V.) braziliensis in the southern Brazilian state of Santa Catarina is used to demonstrate the applicability of this technique. Sequenced fragments from six genetic markers from 86 L. (V.) braziliensis strains from twelve Brazilian states, including 33 strains from Santa Catarina, were used to determine clonal complexes, genetic structure, and phylogenic networks. Associations between genetic clusters and networks with epidemiological characteristics of patients were investigated. MLSA revealed epidemiological patterns among L. (V.) braziliensis strains, even identifying strains from imported cases among the Santa Catarina strains that presented extensive homogeneity. Evidence presented here has demonstrated MLSA possesses adequate discriminatory power for outbreak investigation, as well as other potential uses in the molecular epidemiology of leishmaniasis. Public Library of Science 2014-02-13 /pmc/articles/PMC3923721/ /pubmed/24551258 http://dx.doi.org/10.1371/journal.pntd.0002695 Text en © 2014 Marlow et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Marlow, Mariel A.
Boité, Mariana C.
Ferreira, Gabriel Eduardo M.
Steindel, Mario
Cupolillo, Elisa
Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation
title Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation
title_full Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation
title_fullStr Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation
title_full_unstemmed Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation
title_short Multilocus Sequence Analysis for Leishmania braziliensis Outbreak Investigation
title_sort multilocus sequence analysis for leishmania braziliensis outbreak investigation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3923721/
https://www.ncbi.nlm.nih.gov/pubmed/24551258
http://dx.doi.org/10.1371/journal.pntd.0002695
work_keys_str_mv AT marlowmariela multilocussequenceanalysisforleishmaniabraziliensisoutbreakinvestigation
AT boitemarianac multilocussequenceanalysisforleishmaniabraziliensisoutbreakinvestigation
AT ferreiragabrieleduardom multilocussequenceanalysisforleishmaniabraziliensisoutbreakinvestigation
AT steindelmario multilocussequenceanalysisforleishmaniabraziliensisoutbreakinvestigation
AT cupolilloelisa multilocussequenceanalysisforleishmaniabraziliensisoutbreakinvestigation