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Microsatellite analysis of pooled Schistosoma mansoni DNA: an approach for studies of parasite populations

Published online by Cambridge University Press:  28 October 2005

L. K. SILVA
Affiliation:
Center for Global Health and Diseases, 2103 Cornell Road, Case University, Cleveland, OH 44106-7286, USA Centro Universitário da Bahia (FIB), R. Xingu, 179, STIEP, Salvador, BA 41770-130, Brazil União Metropolitana de Educação e Cultura (UNIME), Av. Luís Tarquínio Pontes, 600, Centro, Lauro de Freitas, BA 42700-000, Brazil
S. LIU
Affiliation:
Center for Global Health and Diseases, 2103 Cornell Road, Case University, Cleveland, OH 44106-7286, USA
R. E. BLANTON
Affiliation:
Center for Global Health and Diseases, 2103 Cornell Road, Case University, Cleveland, OH 44106-7286, USA

Abstract

Human parasites are often distributed in metapopulations, which makes random sampling for genetic epidemiology difficult. The typical approach to sampling Schistosoma mansoni involves laboratory passage to obtain individual worms with small sample size and selection bias as a consequence. By contrast, the naturally pooled samples from egg output in stool or urine directly represent the genetic composition of current populations. To test whether pooled samples could be used to estimate population allele frequencies, DNA from individual cloned parasites was pooled and amplified by PCR for 7 microsatellites. By polyacrylamide gel analysis, the relative band intensities of the products from the major alleles in the pooled samples differed by 0–6% from the summed intensities of the individual clones (mean=2·1%±2·1% S.D.). The number of PCR cycles (25–40) did not influence the accuracy of the estimate. Varying the frequency of 1 allele in pooled samples from 32 to 69% likewise did not affect accuracy. Allele frequency estimates from aggregate samples such as eggs will be a better foundation for studies of parasite population dynamics as well as the basis for large-scale association studies of host and parasite characteristics.

Type
Research Article
Copyright
© 2005 Cambridge University Press

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