Faculdade de Medicina da Bahia >
Artigos Publicados em Periódicos (Medicina) >

Please use this identifier to cite or link to this item: http://repositorio.ufba.br/ri/handle/ri/13354

Title: Analysis of schistosoma mansoni population structure using total fecal egg sampling
Other Titles: Journal of Parasitology
Authors: Blank, Walter A.
Reis, Eliana A. G.
Thiong'o, Fred W.
Braghiroli, João Freitas Melro
Santos, Jarbas M.
Melo, Paulo Roberto Santana de
Guimarães, Isabel C. S.
Silva, Luciano K.
Carmo, Theomira Mauadie Azevedo
Reis, Mitermayer Galvão dos
Blanton, Ronald Edward
Issue Date: 2009
Abstract: Many parasite populations are difficult to sample because they are not uniformly distributed between several host species and are often not easily collected from the living host, thereby limiting sample size and possibly distorting the representation of the population. For the parasite Schistosoma mansoni, we investigated the use of eggs, in aggregate, from the stools of infected individuals as a simple and representative sample. Previously, we demonstrated that microsatellite allele frequencies can be accurately estimated from pooled DNA of cloned S. mansoni adults. Here, we show that genotyping of parasite populations from reproductively isolated laboratory strains can be used to identify these specific populations based on characteristic patterns of allele frequencies, as observed by polyacrylamide gel electrophoresis and automated sequencer analysis of fluorescently labeled PCR products. Microsatellites used to genotype aggregates of eggs collected from stools of infected individuals produced results consistent with the geographic distribution of the samples. Preferential amplification of smaller alleles, and stutter PCR products, had negligible effect on measurement of genetic differentiation. Direct analysis of total stool eggs can be an important approach to questions of population genetics for this parasite by increasing the sample size to thousands per infected individual and by reducing bias.
Description: p. 881-889
URI: http://repositorio.ufba.br/ri/handle/ri/13354
ISSN: 0022-3395
Appears in Collections:Artigos Publicados em Periódicos (Medicina)

Files in This Item:

File Description SizeFormat
10.1645-GE-1895.1.pdf2.05 MBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


    Universidade Federal da Bahia

Contate-nos. Saiba mais sobre o RI/UFBA