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Genome-wide analysis of Schistosoma mansoni reveals population structure and praziquantel drug selection pressure within Ugandan hot-spot communities

Tushabe John Vianney, Duncan J. Berger, View ORCID ProfileStephen R. Doyle, Geetha Sankaranarayanan, Joel Serubanja, Prossy Kabuubi Nakawungu, Fred Besigye, Richard E. Sanya, Nancy Holroyd, Fiona Allan, Emily L. Webb, Alison M. Elliott, View ORCID ProfileMatt Berriman, View ORCID ProfileJames A. Cotton
doi: https://doi.org/10.1101/2022.01.25.477652
Tushabe John Vianney
1Parasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom
2Immunomodulation and Vaccines Programme, Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
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Duncan J. Berger
1Parasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom
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Stephen R. Doyle
1Parasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom
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  • ORCID record for Stephen R. Doyle
Geetha Sankaranarayanan
1Parasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom
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Joel Serubanja
2Immunomodulation and Vaccines Programme, Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
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Prossy Kabuubi Nakawungu
2Immunomodulation and Vaccines Programme, Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
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Fred Besigye
2Immunomodulation and Vaccines Programme, Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
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Richard E. Sanya
2Immunomodulation and Vaccines Programme, Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
3Health and Systems for Health Unit, African Population and Health Research Center, Nairobi, Kenya
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Nancy Holroyd
1Parasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom
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Fiona Allan
4Department of Life Sciences, Natural History Museum, London, United Kingdom
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Emily L. Webb
5MRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK
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Alison M. Elliott
2Immunomodulation and Vaccines Programme, Medical Research Council/Uganda Virus Research Institute and the London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
6Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK
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  • For correspondence: Alison.Elliott@lshtm.ac.uk james.cotton@sanger.ac.uk matt.berriman@glasgow.ac.uk
Matt Berriman
1Parasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom
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  • For correspondence: Alison.Elliott@lshtm.ac.uk james.cotton@sanger.ac.uk matt.berriman@glasgow.ac.uk
James A. Cotton
1Parasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom
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  • ORCID record for James A. Cotton
  • For correspondence: Alison.Elliott@lshtm.ac.uk james.cotton@sanger.ac.uk matt.berriman@glasgow.ac.uk
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Abstract

Populations within schistosomiasis control areas, especially those in Africa, are recommended to receive regular mass drug administration (MDA) with praziquantel (PZQ) as the main strategy for controlling the disease. The impact of PZQ treatment on schistosome genetics remains poorly understood, and is limited by a lack of high-resolution genetic data on the population structure of parasites within these control areas. We generated whole-genome sequence data from 174 individual miracidia collected from both children and adults from fishing communities on islands in Lake Victoria in Uganda that had received either annual or quarterly MDA with PZQ over four years, including samples collected immediately before and four weeks after treatment. Genome variation within and between samples was characterised and we investigated genomic signatures of natural selection acting on these populations that could be due to PZQ treatment. The parasite population on these islands was more diverse than found in nearby villages on the lake shore. We saw little or no genetic differentiation between villages, or between the groups of villages with different treatment intensity, but slightly higher genetic diversity within the pre-treatment compared to post-treatment parasite populations. We identified classes of genes significantly enriched within regions of the genome with evidence of recent positive selection among post-treatment and intensively treated parasite populations. The differential selection observed in post-treatment and pre-treatment parasite populations could be linked to any reduced susceptibility of parasites to praziquantel treatment.

Author summary Schistosomiasis is caused by parasitic helminths of the genus Schistosoma. Schistosoma mansoni is the primary cause of intestinal schistosomiasis, a devastating and widespread parasitic infection that causes morbidity, death and socio-economic impact on endemic communities across the world and especially sub-Saharan Africa. Using whole-genome sequencing, we were able to elucidate the parasite population within Lake Victoria island fishing communities in Uganda which are among the major hotspots for schistosomiasis. We further assessed genetic markers that might be linked to recent observations concerning reduced susceptibility to praziquantel, the major drug used in the treatment of this disease. Whole-genome data on the population genetics of S. mansoni in an African setting will provide a strong basis for future functional genomics or transcriptomic studies that will be key to identifying drug targets, improving existing drugs or developing new therapeutic interventions.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Author Contributions

    TJV: Formal analysis, Investigation, Writing – Original Draft Preparation, Writing – Review & Editing

    DJB: Formal analysis, Investigation, Writing – Review & Editing

    SRD: Formal analysis, Investigation, Writing – Review & Editing

    GS: Investigation, Resources, Writing – Review & Editing

    JS: Investigation, Resources, Writing – Review & Editing

    KP: Investigation, Writing – Review & Editing

    FB: Investigation, Writing – Review & Editing

    RES: Conceptualisation, Investigation, Resources, Writing – Review & Editing

    NH: Project Administration, Writing – Review & Editing

    FA: Investigation, Methodology, Resources, Writing – Review & Editing

    ELW: Conceptualization, Formal analysis, Methodology, Writing – Review & Editing

    AE: Conceptualization, Project Administration, Supervision, Funding Acquisition, Writing –Review & Editing

    MB: Conceptualization, Project Administration, Supervision, Funding Acquisition, Writing – Review & Editing

    JAC: Formal analysis, Supervision, Writing – Original Draft Preparation, Writing – Review & Editing

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 27, 2022.
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Genome-wide analysis of Schistosoma mansoni reveals population structure and praziquantel drug selection pressure within Ugandan hot-spot communities
Tushabe John Vianney, Duncan J. Berger, Stephen R. Doyle, Geetha Sankaranarayanan, Joel Serubanja, Prossy Kabuubi Nakawungu, Fred Besigye, Richard E. Sanya, Nancy Holroyd, Fiona Allan, Emily L. Webb, Alison M. Elliott, Matt Berriman, James A. Cotton
bioRxiv 2022.01.25.477652; doi: https://doi.org/10.1101/2022.01.25.477652
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Genome-wide analysis of Schistosoma mansoni reveals population structure and praziquantel drug selection pressure within Ugandan hot-spot communities
Tushabe John Vianney, Duncan J. Berger, Stephen R. Doyle, Geetha Sankaranarayanan, Joel Serubanja, Prossy Kabuubi Nakawungu, Fred Besigye, Richard E. Sanya, Nancy Holroyd, Fiona Allan, Emily L. Webb, Alison M. Elliott, Matt Berriman, James A. Cotton
bioRxiv 2022.01.25.477652; doi: https://doi.org/10.1101/2022.01.25.477652

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