Polymorphic microsatellites in Simulium damnosum s.l. and their use for differentiating two savannah populations: implications for epidemiological studies

In West Africa, Onchocerca volvulus, the cause of human onchocerciasis, is transmitted by sibling species of the Simulium damnosum complex. Little is known about blackfly intraspecific variability and its consequences on vectorial capacity. This study reports the use of microsatellite markers for di...

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Published inGenome Vol. 41; no. 2; pp. 154 - 161
Main Authors Dumas, Valérie, Herder, Stéphane, Bebba, Aïcha, Cadoux-Barnabé, Cécile, Bellec, Christian, Cuny, Gérard
Format Journal Article
LanguageEnglish
Published Ottawa, Canada NRC Research Press 01.04.1998
Canadian Science Publishing NRC Research Press
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Summary:In West Africa, Onchocerca volvulus, the cause of human onchocerciasis, is transmitted by sibling species of the Simulium damnosum complex. Little is known about blackfly intraspecific variability and its consequences on vectorial capacity. This study reports the use of microsatellite markers for differentiating populations of S. damnosum s.l. Five microsatellite loci were characterized and used to analyze individuals from two savannah populations in Mali, 120 km apart. Four loci were highly polymorphic, having 8-12 alleles per locus and gene diversities ranging from 77.9 to 88.2%. A significant heterozygote deficiency was observed in the two populations. This may arise from inbreeding, population structure (the Walhund effect), or the presence of null alleles. To test this last hypothesis, new primers were designed for two loci and used to analyze homozygous individuals. After correcting for null alleles, heterozygote deficit persisted. Population subdivision in the two foci remains the most likely explanation. Our results indicate that microsatellite markers could differentiate fly populations, making them valuable tools for the study of population genetic structure.Key words: Simulium damnosum s.l., microsatellites, polymorphism, population structure, population genetics, null alleles.
Bibliography:ObjectType-Article-2
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ISSN:0831-2796
1480-3321
DOI:10.1139/g97-113