Artigo Acesso aberto Produção Nacional Revisado por pares

American tegumentary leishmaniasis caused by Leishmania (Viannia) braziliensis: assessment of parasite genetic variability at intra- and inter-patient levels

2013; BioMed Central; Volume: 6; Issue: 1 Linguagem: Inglês

10.1186/1756-3305-6-189

ISSN

1756-3305

Autores

Fernanda Santos de Oliveira, Cláudia Maria Valete‐Rosalino, Sandro JB Pacheco, Filipe Aníbal Carvalho‐Costa, Armando O. Schubach, Raquel S Pacheco,

Tópico(s)

Insect Resistance and Genetics

Resumo

Abstract Background The genetic variability of Leishmania ( Viannia ) braziliensis was assessed at intra and interpatient levels of individuals with different clinical manifestations of American tegumentary leishmaniasis (ATL). Methods Fifty-two samples, of which 13 originated from cutaneous lesions and 39 from mucosal lesions, provided by 35 patients, were examined by low-stringency single-specific-primer PCR (LSSP-PCR) and phenetic analysis. Genetic variability of L . ( V .) braziliensis , in kinetoplast DNA (kDNA) signatures, was compared both from different patients and from different lesions of the same patient. Phenetic analysis was performed to evaluate the degree of heterogeneity of the kDNA minicircles. In order to evaluate inter and intrapatient L . ( V .) braziliensis genetic variability, the percentage of shared bands and analysis of the coefficients of similarity were analyzed. Results Different genetic profiles, representing kDNA signatures of the parasite, were obtained by LSSP-PCR analysis of each sample. Phenetic analysis grouped genetic profiles of different levels of differentiation from more similar to most divergent. The percentage of shared bands at the inter and intrapatient levels was 77% and 89%, respectively. Comparison of the average inter and intrapatient coefficients of similarity and their standard deviations were statistically significant (p < 0.001). Conclusion Genetic variability at the intrapatient level was less pronounced than that between different patients. A conceptual model was proposed to better understand the complexity at both levels.

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