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Barcoding hybrids: heterogeneous distribution of Schistosoma haematobium × Schistosoma bovis hybrids across the Senegal River Basin

Published online by Cambridge University Press:  18 April 2018

NELE A. M. BOON
Affiliation:
Laboratory of Biodiversity and Evolutionary Genomics, Biology, University of Leuven, Ch. Deberiotstraat 32, B-3000 Leuven, Belgium Unit of Medical Helminthology, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
FREDERIK VAN DEN BROECK
Affiliation:
Unit of Molecular Parasitology, Unit of Veterinary Protozoology, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
DJIBY FAYE
Affiliation:
Sante Plus, 9756 Sacré Coeur 3, BP 11294 Dakar, Sénégal
FILIP A. M. VOLCKAERT
Affiliation:
Laboratory of Biodiversity and Evolutionary Genomics, Biology, University of Leuven, Ch. Deberiotstraat 32, B-3000 Leuven, Belgium
SOULEYMANE MBOUP
Affiliation:
Laboratoire de Bactériologie, Virologie du CHNU Aristide Le Dantec, Dakar, Sénégal
KATJA POLMAN
Affiliation:
Unit of Medical Helminthology, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
TINE HUYSE*
Affiliation:
Department of Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, B-3080 Tervuren, Belgium
*
*Corresponding author: Tine Huyse, Department of Biology, Royal Museum for Central Africa, Leuvensesteenweg 13, B-3080 Tervuren, Belgium. E-mail: [email protected]

Abstract

Hybridization events between Schistosoma species (Digenea, Platyhelminthes) are reported with increasing frequency, largely due to improved access to molecular tools. Nevertheless, little is known about the distribution and frequency of hybrid schistosomes in nature. Screening for hybrids on a large scale is complicated by the need for nuclear and mitochondrial sequence information, precluding a ‘simple’ barcoding approach. Here we aimed to determine and understand the spatiotemporal distribution of Schistosoma haematobium × Schistosoma bovis hybrids in the Senegal River Basin. From ten villages, distributed over the four main water basins, we genotyped a total of 1236 schistosome larvae collected from human urine samples using a partial mitochondrial cox1 fragment; a subset of 268 parasites was also genotyped using ITS rDNA. Hybrid schistosomes were unevenly distributed, with substantially higher numbers in villages bordering Lac de Guiers than in villages from the Lampsar River and the Middle Valley of the Senegal River. The frequency of hybrids per village was not linked with the prevalence of urinary schistosomiasis in that village. However, we did find a significant positive association between the frequency of hybrids per village and the prevalence of Schistosoma mansoni. We discuss the potential consequences of adopting a barcoding approach when studying hybrids in nature.

Type
Special Issue Article
Copyright
Copyright © Cambridge University Press 2018 

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