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Optimized MALDI-TOF mass spectrometry enables reliable identification of freshwater snails from schistosomiasis-endemic areas in Mauritania

Nekatt, L. M.; Almeras, L.; Moukah, O. M.; Diarra, A. Z.; Ould Mohamed Salem Boukhary, A.; Ranque, S.

2026-06-03 molecular biology
10.64898/2026.06.01.729200 bioRxiv
Show abstract

Freshwater snails act as intermediate hosts for parasites affecting both humans and livestock, including schistosomes. In Mauritania, however, the diversity, distribution, and infection status of these snails remain poorly documented. This study aimed to identify freshwater snail species collected from two schistosomiasis-endemic areas in southern Mauritania, characterize their spatial distribution, and assess their infection rates using molecular tools Malacological surveys were conducted in Kankossa and Oued Rawdha during the 2023 rainy season. A total of 806 snail specimens were collected and preserved in 70% ethanol at 4 {degrees}C prior to analysis. Five species were identified morphologically and confirmed by molecular analysis: Bulinus truncatus, B. forskalii, B. senegalensis, B. umbilicatus, and Melanoides tuberculata. MALDI-TOF MS generated high-quality spectra for 99.0% of specimens and correctly identified 99.9% of analyzable samples after molecular confirmation of discrepant cases. Preservation in ethanol at 4 {degrees}C markedly improved spectral quality compared with previously reported room-temperature storage conditions Distinct ecological distributions were observed according to water body type. B. senegalensis and B. umbilicatus were exclusively collected from temporary ponds, whereas B. truncatus, B. forskalii, and M. tuberculata were found in permanent water bodies. Real-time PCR screening detected Schistosoma haematobium complex DNA in 239/798 (29.9%) specimens, with substantially higher infestation rates in Kankossa than in Oued Rawdha. These findings demonstrate that MALDI-TOF MS is a rapid, accurate, and field-compatible tool for freshwater snail identification, including closely related species that are difficult to distinguish morphologically. This approach could facilitate large-scale epidemiological surveillance and improve monitoring of schistosomiasis transmission dynamics in endemic settings.

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