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dc.contributor.authorBoon, NAM.
dc.contributor.authorVan Den Broeck, F.
dc.contributor.authorFaye, D.
dc.contributor.authorVolckaert, FAM.
dc.contributor.authorMboup, S.
dc.contributor.authorPolman, K.
dc.contributor.authorHuyse, T.
dc.date2018
dc.date.accessioned2024-03-14T13:15:47Z
dc.date.available2024-03-14T13:15:47Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/12067
dc.descriptionHybridization 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 x 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.
dc.languageeng
dc.titleBarcoding hybrids: heterogeneous distribution of Schistosoma haematobium x Schistosoma bovis hybrids across the Senegal River Basin
dc.typeArticle
dc.subject.frascatiBiological sciences
dc.audienceScientific
dc.subject.freeInvertebrates
dc.source.titleParasitology
dc.source.volume145; Advances and challenges in barcoding of microbes, parasites, and their vectors and reservoirs
dc.source.page634-645
Orfeo.peerreviewedYes
dc.identifier.doi10.1017/S0031182018000525
dc.identifier.rmca5387


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