Fig 1.
Map of East Africa (left) and the collection site locations around the shoreline of Lake Victoria (right).
The 27 sites highlighted in grey were chosen to measure genetic diversity (this map was created using ‘OpenStreetMap’ https://www.openstreetmap.org).
Table 1.
Summary of the B. choanomphala abundance and abiotic factors collected across the Kenyan (n = 35), Tanzanian (n = 82) and Ugandan (n = 53) sites of Lake Victoria.
Fig 2.
Map of collection sites at Lake Victoria showing where Biomphalaria choanomphala snails were found, and the incidence of Schistosoma mansoni infection in these snail populations.
Collection sites with no B. choanomphala are shown with a cross. White circles denote sites where B. choanomphala snails were found, but were uninfected with S. mansoni. Black circles denote sites where S. mansoni infected B. choanomphala snails were found (created using ‘OpenStreetMap’ https://www.openstreetmap.org).
Table 2.
Comparing the mean haplotype diversity (Hd) scores of Lake Victoria sites found with and without S. mansoni infection.
Table 3.
Comparing the Fst values of B. choanomphala populations across Lake Victoria.
Fig 3.
Distribution of private and shared 16S and COI haplotypes of B. choanomphala populations (n = 27) found at Lake Victoria.
Private haplotypes are coloured white in the pie chart, while shared haplotypes are shaded. Sites found without S. mansoni infection are shown with a white dot (n = 14), while sites found with infection are shown with a black dot (n = 13). This map was hand traced using the ‘Standard map’ from ‘OpenStreetMap’ (https://www.openstreetmap.org) as the base layer.
Table 4.
The Kruskal–Wallis Dunn’s post-hoc test output of the infection prevalence, B. choanomphala abundance and the abiotic factors of the Kenyan (n = 35), Tanzanian (n = 82) and Ugandan (n = 53) shoreline collection sites.
Table 5.
Spearman’s rank correlation coefficients relating prevalence of S. mansoni, B. choanomphala abundance and abiotic factors of the Kenyan (n = 35), Tanzanian (n = 82) and Ugandan (n = 53) shoreline collection sites.