ArticlePLoS neglected tropical diseases2021
Patterns of relatedness and genetic diversity inferred from whole genome sequencing of archival blood fluke miracidia (Schistosoma japonicum).
Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Population genomics reveals multi-scale mechanisms sustaining schistosomiasis re-emergence in a near-elimination setting.PLoS neglected tropical diseases · 2026Article
- Multi-Locus Nuclear Marker Assessment of Genetic Diversity in Swiss Orthoptera Unveils Conservation Status Limitations.Molecular ecology · 2026Article
- Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination.eLife · 2022Review
- Genome-wide analysis of Schistosoma mansoni reveals limited population structure and possible praziquantel drug selection pressure within Ugandan hot-spot communities.PLoS neglected tropical diseases · 2022Article
- Scratching the Itch: Updated Perspectives on the Schistosomes Responsible for Swimmer's Itch around the World.Pathogens (Basel, Switzerland) · 2022Review
- Cryptic population structure and transmission dynamics uncovered for Schistosoma mansoni populations by genetic analyses.Scientific reports · 2022Article
- Prospects for genomic surveillance for selection in schistosome parasites.Frontiers in epidemiology · 2022Review
- Schistosome W-Linked Genes Inform Temporal Dynamics of Sex Chromosome Evolution and Suggest Candidate for Sex Determination.Molecular biology and evolution · 2021Article
- Whole-genome sequencing of Schistosoma mansoni reveals extensive diversity with limited selection despite mass drug administration.Nature communications · 2021Article
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Authors and funding
11 authors.
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Abstract
Genomic approaches hold great promise for resolving unanswered questions about transmission patterns and responses to control efforts for schistosomiasis and other neglected tropical diseases. However, the cost of generating genomic data and the challenges associated with obtaining sufficient DNA from individual schistosome larvae (miracidia) from mammalian hosts have limited the application of genomic data for studying schistosomes and other complex macroparasites. Here, we demonstrate the feasibility of utilizing whole genome amplification and sequencing (WGS) to analyze individual archival miracidia. As an example, we sequenced whole genomes of 22 miracidia from 11 human hosts representing two villages in rural Sichuan, China, and used these data to evaluate patterns of relatedness and genetic diversity. We also down-sampled our dataset to test how lower coverage sequencing could increase the cost effectiveness of WGS while maintaining power to accurately infer relatedness. Collectively, our results illustrate that population-level WGS datasets are attainable for individual miracidia and represent a powerful tool for ultimately providing insight into overall genetic diversity, parasite relatedness, and transmission patterns for better design and evaluation of disease control efforts.
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