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Population genetic structure of Schistosoma bovis and S. curassoni collected from cattle in Mali

Authors :
Diakité Assitan
Agniwo Privat
Dabo Abdoulaye
Sidibé Bakary
Savassi Boris A.E.S.
Akplogan Ahristode
Guindo Hassim
Dembélé Laurent
Ibikounlé Moudachirou
Niaré Safiatou Doumbo
Tembely Saidou
Boissier Jérôme
Source :
Parasite, Vol 31, p 36 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

Schistosomiasis is of medical and veterinary importance. Despite the critical situation of schistosomiasis in sub-Saharan Africa, few molecular epidemiological studies have been carried out to determine the role of animals in its transmission. In Mali, it has been over three decades since the last molecular study of animal schistosomes was carried out. It is now urgent to identify circulating strains of the parasite because of potential interactions with other schistosome species, which could complicate disease control. The aim of our work was to study the composition and genetic structure of schistosome populations collected from cattle. The prevalence of schistosome was 23.9%, with the prevalences of Schistosoma bovis (Sb) and S. curassoni (Sc) estimated at 12.6% and 9.8%, respectively. No hybrid strains or S. haematobium were found. The parasites displayed distinct geographical distribution with Sb dominant in Bamako (78.8% and 98% in Central Bamako Slaughterhouse and Sabalibougou Slaughterhouses, respectively) and Sc dominant in Kayes (95.3%). Of the 476 parasites with a complete genetic profile, 60.4% were pure Sc, and were mainly from Kayes. We identified two clusters at the site level (Fst of 0.057 and 0.042 for Sb and Sc, respectively). Cluster 1 was predominantly composed of pure Sb parasites and cluster 2 was mainly composed of pure Sc parasites, from Bamako and Kayes, respectively. Our study shows that cattle schistosomiasis remains endemic in Mali with S. bovis and S. curassoni. A robust genetic structure between the different schistosome populations was identified, which included two clusters based on the geographical distribution of the parasites.

Details

Language :
English
ISSN :
17761042
Volume :
31
Database :
Directory of Open Access Journals
Journal :
Parasite
Publication Type :
Academic Journal
Accession number :
edsdoj.059dca617c8443e8502ef74e219d5be
Document Type :
article
Full Text :
https://doi.org/10.1051/parasite/2024035