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Private Selective Sweeps Identified from Next-Generation Pool-Sequencing Reveal Convergent Pathways under Selection in Two Inbred Schistosoma mansoni Strains
Author(s) -
Julie A. J. Clément,
Ève Toulza,
Mathieu Gautier,
Hugues Parrinello,
David Roquis,
Jérôme Boissier,
Anne Rog,
Hélène Moné,
Gabriel Mouahid,
Jérôme Buard,
Guillaume Mitta,
Christoph Grunau
Publication year - 2013
Publication title -
plos neglected tropical diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.99
H-Index - 135
eISSN - 1935-2735
pISSN - 1935-2727
DOI - 10.1371/journal.pntd.0002591
Subject(s) - biology , schistosoma mansoni , genetics , single nucleotide polymorphism , selective sweep , dna sequencing , schistosoma , negative selection , in silico , evolutionary biology , gene , computational biology , genotype , genome , haplotype , schistosomiasis , helminths , zoology
Background The trematode flatworms of the genus Schistosoma , the causative agents of schistosomiasis, are among the most prevalent parasites in humans, affecting more than 200 million people worldwide. In this study, we focused on two well-characterized strains of S. mansoni , to explore signatures of selection. Both strains are highly inbred and exhibit differences in life history traits, in particular in their compatibility with the intermediate host Biomphalaria glabrata . Methodology/Principal Findings We performed high throughput sequencing of DNA from pools of individuals of each strain using Illumina technology and identified single nucleotide polymorphisms (SNP) and copy number variations (CNV). In total, 708,898 SNPs were identified and roughly 2,000 CNVs. The SNPs revealed low nucleotide diversity (π = 2×10 −4 ) within each strain and a high differentiation level (Fst = 0.73) between them. Based on a recently developed in-silico approach, we further detected 12 and 19 private ( i.e. specific non-overlapping) selective sweeps among the 121 and 151 sweeps found in total for each strain. Conclusions/Significance Functional annotation of transcripts lying in the private selective sweeps revealed specific selection for functions related to parasitic interaction ( e.g. cell-cell adhesion or redox reactions). Despite high differentiation between strains, we identified evolutionary convergence of genes related to proteolysis, known as a key virulence factor and a potential target of drug and vaccine development. Our data show that pool-sequencing can be used for the detection of selective sweeps in parasite populations and enables one to identify biological functions under selection.

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