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MULTILOCUS SEQUENCE ANALYSIS FOR LEISHMANIA BRAZILIENSIS OUTBREAK INVESTIGATION
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Universidade Federal de Santa Catarina. Departamento de Microbiologia, Imunologia e Parasitologia. Laboratório de Protozoologia. Florianópolis, SC, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Leishmaniose. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Leishmaniose. Rio de Janeiro, RJ, Brasil.
Universidade Federal de Santa Catarina. Departamento de Microbiologia, Imunologia e Parasitologia. Laboratório de Protozoologia. Florianópolis, SC, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Leishmaniose. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Leishmaniose. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Leishmaniose. Rio de Janeiro, RJ, Brasil.
Universidade Federal de Santa Catarina. Departamento de Microbiologia, Imunologia e Parasitologia. Laboratório de Protozoologia. Florianópolis, SC, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Leishmaniose. Rio de Janeiro, RJ, Brasil.
Abstract
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.
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