Distribution of genetic diversity of neotropical Biomphalaria (Preston 1910) (Basommatophora: Planorbidae) intermediate hosts for schistosomiasis in Southeast Brazil

• Published in: Frontiers in tropical diseases Vol. 4
• Main Authors: Palasio, Raquel Gardini Sanches, Chiaravalloti-Neto, Francisco, Tuan, Roseli
• Format: Journal Article
• Language: English
• Published: 16-05-2023
• ISSN: 2673-7515; 2673-7515
• DOI: 10.3389/fitd.2023.1143186

Introduction
Biomphalaria glabrata
,
B. tenagophila
, and
B. straminea
occurrence are crucial for estimating the risk of infectious human schistosomiasis in the neotropics. How different geographic sample strategies influence snail genetic diversity estimations were here investigated for three
Schistosoma mansoni
hosts.
Methods
Mitochondrial gene sequences were employed for Cytochrome C Oxidase I (COI), ribosomal RNA (rRNA) 16S, and a dataset with concatenated gene sequences (COI+16S), resulting in an improved scientific hypothesis regarding the geographical distribution of snail species. This study compared the sequences of snails from the Middle Paranapanema (MP) hydrographic basin in a geographically restricted area (inner group) to snails widely distributed across a broad geographical range in São Paulo (outer group), Brazil from 1999 to 2017. DNA sequence polymorphisms and haplotype diversity were estimated using DNAsp software. Haplotype network trees were constructed using a network program. The geographical distribution of the haplotypes was mapped using QGIS. Haplotype variation and distribution were tested for population structure using analysis of molecular variance (AMOVA).
Results and discussion
The genetic diversity of
B. glabrata
, sampled from disconnected but geographically close freshwater collections, was partitioned into two sequence groups. The haplotype network showed that the diversity of
B. straminea
was more spatially partitioned than in
B. tenagophila
, which exhibited two population groups. The haplotype distribution pattern for
B. tenagophila
showed many unique and exclusive haplotypes for all three loci. AMOVA showed that genetic diversity could be high in species inhabiting small geographical areas, and a large river is not a local geographical barrier for snail migration. This study found that the survey dimensions and snail samplings influenced the genetic diversity results obtained by mitochondrial DNA molecular markers.