Literature DB >> 12062555

Populational structure of Schistosoma mansoni assessed by DNA microsatellites.

N B Rodrigues1, P Coura Filho, C P de Souza, L K Jannoti Passos, E Dias-Neto, A J Romanha.   

Abstract

DNA microsatellites were used as molecular markers to analyse the population structure of the laboratory LE strain and of 10 field isolates of Schistosoma mansoni, the aetiologic agent of schistosomiasis. Out of 16,000 DNA sequences analysed in databases, 622 microsatellite loci were identified in 481 sequences (3.0%). The AT repetitions were the most frequent, followed by AAT and AC. Six loci showing perfect repetitions were selected and used in the polymerase chain reaction to evaluate polymorphisms in the number of repeats. Two groups of worms were studied. The first group consisted of 78 individuals, 39 of each sex, of the LE strain. The second group of worms consisted of 10 field isolates: seven from humans and three from snails. Four of the six loci were polymorphic, containing 11-17 alleles per locus. No linkage disequilibrium was observed among loci and none of the loci was sex linked. In both groups of worms, a significant deviation from Hardy-Weinberg equilibrium was observed. The observed heterozygosity was always lower than the expected one. The polymerase chain reaction primers were S. mansoni specific. The LE strain showed a lower total number of alleles or a lower average number of alleles/polymorphic locus than the field isolates, suggesting that 41 years of laboratory maintenance exerted selective pressure on the LE strain. The S. mansoni populations from the field were most genetically undifferentiated (R(ST)<0.027), suggesting a high gene flow among them. Our results showed the usefulness of microsatellites for population analysis of S. mansoni, offering a new alternative for a better understanding of schistosomiasis epidemiology.

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Year:  2002        PMID: 12062555     DOI: 10.1016/s0020-7519(02)00031-0

Source DB:  PubMed          Journal:  Int J Parasitol        ISSN: 0020-7519            Impact factor:   3.981


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