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LSSP–PCR for characterization of strains of Entamoeba histolytica isolated in Brazil

Published online by Cambridge University Press:  01 June 1997

M. A. GOMES
Affiliation:
Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627–Belo Horizonte, Minas Gerais, 31270–901 Brasil Departamento de Ciências Biológicas, Universidade Federal de Ouro Preto, Brasil
E. F. SILVA
Affiliation:
Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627–Belo Horizonte, Minas Gerais, 31270–901 Brasil
A. M. MACEDO
Affiliation:
Departamento de Bioquímica e Imunologia, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627–Belo Horizonte, Minas Gerais, 31270–901 Brasil
A. R. VAGO
Affiliation:
Departamento de Bioquímica e Imunologia, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627–Belo Horizonte, Minas Gerais, 31270–901 Brasil
M. N. MELO
Affiliation:
Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627–Belo Horizonte, Minas Gerais, 31270–901 Brasil

Abstract

Strains of Entamoeba histolytica isolated in Brazil were characterized using the Low-Stringency Single Specific Primer PCR (LSSP–PCR), that detects single or multiple mutations in gene size DNA fragments. Using this technique, a 482-bp genomic DNA fragment from a structural gene in 8 strains and 2 clones of E. histolytica, isolated from symptomatic and asymptomatic patients in Brazil, including pathogenic and non-pathogenic zymodemes were studied. The results obtained indicate that LSSP–PCR is a valuable method for differentiating strains of E. histolytica. Moreover, the results are consistent with the concept that pathogenic and non-pathogenic strains of E. histolytica may represent distinct species or subspecies and are in accord with phenotypically characteristic isoenzyme patterns.

Type
Research Article
Copyright
1997 Cambridge University Press

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