Evidence map›Paper›PMID 34362894›Full record

ArticleNature communications2021

Whole-genome sequencing of Schistosoma mansoni reveals extensive diversity with limited selection despite mass drug administration.

Duncan J Berger, Thomas Crellen, Poppy H L Lamberton, Fiona Allan, Alan Tracey, Jennifer D Noonan, Narcis B Kabatereine, Edridah M Tukahebwa, Moses Adriko, Nancy Holroyd and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 58 citations in OpenAlex.

  1. Trial
  2. Article
  3. Direct measurement ofbioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Plant-Derived Terpenes as Emerging Therapeutics Against Schistosomiasis.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Article
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  14. Review
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  18. Review
  19. Development of non-sedating benzodiazepines withAntimicrobial agents and chemotherapy · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Duncan J Berger *Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK. db22@sanger.ac.uk.ORCID http://orcid.org/0000-0002-2017-6623
Thomas Crellen *Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.ORCID http://orcid.org/0000-0003-2934-1063
Poppy H L LambertonImperial College London, Department of Infectious Disease Epidemiology, London, UK.ORCID http://orcid.org/0000-0003-1048-6318
Fiona AllanThe Natural History Museum, Department of Life Sciences, London, UK.
Alan TraceyWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.ORCID http://orcid.org/0000-0002-4805-9058
Jennifer D NoonanInstitute of Parasitology, Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0001-6677-2319
Narcis B KabatereineVector Borne & Neglected Tropical Disease Control Division, Ministry of Health, Kampala, Uganda.
Edridah M TukahebwaVector Borne & Neglected Tropical Disease Control Division, Ministry of Health, Kampala, Uganda.
Moses AdrikoVector Borne & Neglected Tropical Disease Control Division, Ministry of Health, Kampala, Uganda.
Nancy HolroydWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Joanne P WebsterDepartment of Pathology and Pathogen Biology, Centre for Emerging, Endemic and Exotic Diseases, Royal Veterinary College, University of London, Herts, UK. jowebster@rvc.ac.uk.ORCID http://orcid.org/0000-0001-8616-4919
Matthew BerrimanWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK. mb4@sanger.ac.uk.ORCID http://orcid.org/0000-0002-9581-0377
James A CottonWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK. jc17@sanger.ac.uk.ORCID http://orcid.org/0000-0001-5475-3583
Wellcome Sanger Institute · GBMinistry of Health · UGRoyal Veterinary College · GBMcGill University · CANatural History Museum · GBWellcome Centre for Molecular Parasitology · GB

Funding

Medical Research CouncilWellcome Trust 098051Wellcome Trust 1045958/Z/13/ZWellcome Trust 206194
6 · The paper itself

Abstract

Control and elimination of the parasitic disease schistosomiasis relies on mass administration of praziquantel. Whilst these programmes reduce infection prevalence and intensity, their impact on parasite transmission and evolution is poorly understood. Here we examine the genomic impact of repeated mass drug administration on Schistosoma mansoni populations with documented reduced praziquantel efficacy. We sequenced whole-genomes of 198 S. mansoni larvae from 34 Ugandan children from regions with contrasting praziquantel exposure. Parasites infecting children from Lake Victoria, a transmission hotspot, form a diverse panmictic population. A single round of treatment did not reduce this diversity with no apparent population contraction caused by long-term praziquantel use. We find evidence of positive selection acting on members of gene families previously implicated in praziquantel action, but detect no high frequency functionally impactful variants. As efforts to eliminate schistosomiasis intensify, our study provides a foundation for genomic surveillance of this major human parasite.

Indexed as

Mass Drug AdministrationWhole Genome SequencingAnimalsChildFemaleHumansMalePraziquantelSchistosoma mansoniSchistosomiasis mansoniUgandaPraziquantel

Identifiers

PMID34362894
PMCPMC8346512
OpenAlexW3189168014

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.