Evidence map›Paper›PMID 32051004›Full record

ArticleParasites & vectors2020

Environmental DNA-based xenomonitoring for determining Schistosoma presence in tropical freshwaters.

Hind Alzaylaee, Rupert A Collins, Asilatu Shechonge, Benjamin P Ngatunga, Eric R Morgan, Martin J Genner

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  6. Review
  7. Assessment of schistosomiasis transmission in the River Nile at Greater Cairo using malacological surveys and cercariometry.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Article
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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

6 authors at 3 institutions in 3 countries.

Hind AlzaylaeeSchool of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol, BS8 1TQ, UK.
Rupert A CollinsSchool of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol, BS8 1TQ, UK.
Asilatu ShechongeTanzania Fisheries Research Institute (TAFIRI), PO Box 9750, Dar es Salaam, Tanzania.
Benjamin P NgatungaTanzania Fisheries Research Institute (TAFIRI), PO Box 9750, Dar es Salaam, Tanzania.
Eric R MorganSchool of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol, BS8 1TQ, UK.
Martin J GennerSchool of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol, BS8 1TQ, UK. m.genner@bristol.ac.uk.
University of Bristol · GBTanzania Fisheries Research Institute · TZQueen's University Belfast · GB

Funding

Royal Society - Leverhulme Trust AA130107
6 · The paper itself

Abstract

backgroundSchistosomiasis is a neglected tropical disease that infects over 200 million people worldwide. Control measures can benefit from improved surveillance methods in freshwaters, with environmental DNA (eDNA) surveys having the potential to offer effective and rapid detection of schistosomes. However, sampling eDNA directly from natural water bodies can lead to inaccurate estimation of infection risk if schistosome eDNA is rare in the environment. Here we report a xenomonitoring method that allows schistosome infections of host snail species to be determined from eDNA in water used to house those snails.

methodsHost snail species were collected and placed in containers of water and allowed to shed cercariae, and then water samples were filtered and tested using qPCR assays specific to the African species Schistosoma mansoni and Schistosoma haematobium. We evaluated this "eDNA-based xenomonitoring" approach by experimentally comparing the results to those obtained from direct qPCR screening of tissue sourced from the snails in the experiment.

resultsWe found that our method accurately diagnosed the presence of S. mansoni-infected snails in all tests, and S. haematobium-infected snails in 92% of tests. Moreover, we found that the abundance of Schistosoma eDNA in experiments was directly dependent on the number and biomass of infected snails.

conclusionsThese results provide a strong indication that this surveillance method combining the utility of eDNA-based monitoring with the reliability of traditional xenomonitoring approaches could be used to accurately assay the presence of Schistosoma species in natural habitats. This approach may be well-suited for epidemiological studies and monitoring in endemic areas, where it can assist schistosomiasis control by indicating infection risk from freshwaters and guiding necessary interventions to eliminate the disease.

Indexed as

Water MicrobiologyAnimalsDNA, EnvironmentalFresh WaterSchistosomaSchistosomiasisSnailsTanzaniaTropical ClimateDNA, EnvironmentalAfrican freshwater bodyDetection and quantification levelFreshwater eDNASchistosomatidae

Identifiers

PMID32051004
PMCPMC7017522
OpenAlexW3008481591

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.