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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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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 |
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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 |
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