ArticleParasitology2020
Machine learning-based analyses support the existence of species complexes for
Article in Parasitology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
30 citing papers in PubMed.
- Molecular and morphologic characterization of Trichuris trichiura infecting free-roaming African vervets (Chlorocebus aethiops sabaeus) on the Caribbean Island of St. Kitts.PLoS neglected tropical diseases · 2026Article
- Spotlighting zoonotic strongyloidiasis: a semi-systematic review of threadworms within baboons highlights opportunities for human infections.Infectious diseases of poverty · 2026Review
- Unveiling the ecology and spatial dynamics of Trypanosoma cruzi, its DTUs and Triatoma vitticeps in the Atlantic Forest of south-eastern Espírito Santo State, Brazil.PLoS neglected tropical diseases · 2026Article
- Taxonomy ofParasitology · 2026Review
- Molecular taxonomic characterisation ofFrontiers in parasitology · 2026Article
- Molecular taxonomic study ofFrontiers in parasitology · 2026Article
- Notes on the threadwormInternational journal for parasitology. Parasites and wildlife · 2025Article
- Insights into Infant Strongyloidiasis, Papua New Guinea.Emerging infectious diseases · 2025Article
- Human, canine and feline strongyloidiasis: beyondParasitology · 2025Review
- Genetic diversity withinParasitology · 2025Article
- Genomic analysis of Strongyloides stercoralis and Strongyloides fuelleborni in Bangladesh.PLoS neglected tropical diseases · 2024Article
- Strongyloides stercoralis genotyping in a human population in southwestern Iran.Parasites & vectors · 2024Article
- Review
- Is strongyloidiasis a zoonosis from dogs?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- AdvancingPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Review
- Retrospective evaluation of an integrated molecular-epidemiological approach to cyclosporiasis outbreak investigations - United States, 2021.Epidemiology and infection · 2023Article
- Epidemiologic Utility of a Framework for Partition Number Selection When Dissecting Hierarchically Clustered Genetic Data Evaluated on the Intestinal Parasite Cyclospora cayetanensis.American journal of epidemiology · 2023Article
- Genetic characterization ofInternational journal for parasitology. Parasites and wildlife · 2023Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human strongyloidiasis is a serious disease mostly attributable to Strongyloides stercoralis and to a lesser extent Strongyloides fuelleborni, a parasite mainly of non-human primates. The role of animals as reservoirs of human-infecting Strongyloides is ill-defined, and whether dogs are a source of human infection is debated. Published multi-locus sequence typing (MLST) studies attempt to elucidate relationships between Strongyloides genotypes, hosts, and distributions, but typically examine relatively few worms, making it difficult to identify population-level trends. Combining MLST data from multiple studies is often impractical because they examine different combinations of loci, eliminating phylogeny as a means of examining these data collectively unless hundreds of specimens are excluded. A recently-described machine learning approach that facilitates clustering of MLST data may offer a solution, even for datasets that include specimens sequenced at different combinations of loci. By clustering various MLST datasets as one using this procedure, we sought to uncover associations among genotype, geography, and hosts that remained elusive when examining datasets individually. Multiple datasets comprising hundreds of S. stercoralis and S. fuelleborni individuals were combined and clustered. Our results suggest that the commonly proposed 'two lineage' population structure of S. stercoralis (where lineage A infects humans and dogs, lineage B only dogs) is an over-simplification. Instead, S. stercoralis seemingly represents a species complex, including two distinct populations over-represented in dogs, and other populations vastly more common in humans. A distinction between African and Asian S. fuelleborni is also supported here, emphasizing the need for further resolving these taxonomic relationships through modern investigations.
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Registered trials
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