Evidence map›Paper›PMID 30726303›Full record

ArticlePloS one2019

Use of shotgun metagenomics for the identification of protozoa in the gut microbiota of healthy individuals from worldwide populations with various industrialization levels.

Ana Lokmer, Amandine Cian, Alain Froment, Nausicaa Gantois, Eric Viscogliosi, Magali Chabé, Laure Ségurel

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Microorganisms · 2024
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  20. Codiversification of gut microbiota with humans.Science (New York, N.Y.) · 2022
    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

7 authors.

Ana LokmerUMR7206 Eco-anthropologie et Ethnobiologie, CNRS-MNHN-Univ Paris Diderot-Sorbonne Paris Cité, Paris, France.ORCID 0000-0003-4579-6607
Amandine CianUniv. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 -UMR 8204 -CIIL-Centre d'Infection et d'Immunité de Lille, Lille, France.
Alain FromentUMR7206 Eco-anthropologie et Ethnobiologie, CNRS-MNHN-Univ Paris Diderot-Sorbonne Paris Cité, Paris, France.
Nausicaa GantoisUniv. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 -UMR 8204 -CIIL-Centre d'Infection et d'Immunité de Lille, Lille, France.
Eric ViscogliosiUniv. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 -UMR 8204 -CIIL-Centre d'Infection et d'Immunité de Lille, Lille, France.
Magali ChabéUniv. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 -UMR 8204 -CIIL-Centre d'Infection et d'Immunité de Lille, Lille, France.
Laure SégurelUMR7206 Eco-anthropologie et Ethnobiologie, CNRS-MNHN-Univ Paris Diderot-Sorbonne Paris Cité, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protozoa have long been considered undesirable residents of the human gut, but recent findings suggest that some of them may positively affect the gut ecosystem. To better understand the role and ecological dynamics of these commensal and potentially beneficial protozoan symbionts, we need efficient methods to detect them, as well as accurate estimates of their prevalence across human populations. Metagenomics provides such an opportunity, allowing simultaneous detection of multiple symbionts in a single analytical procedure. In this study, we collected fecal samples of 68 individuals from three Cameroonian populations with different subsistence modes and compared metagenomics-based and targeted methods of detection for two common protozoan genera: Blastocystis and Entamoeba. In addition, we analyzed our data along with publicly available fecal metagenomes from various worldwide populations to explore the prevalence and association patterns of ten protozoan genera. Regarding the detection method, microscopy was much less sensitive than metagenomics for Entamoeba, whereas qPCR was at least as sensitive as metagenomics for Blastocystis sp. However, metagenomics was more likely to detect co-colonizations by multiple subtypes. Out of the ten examined genera in 127 individuals from Cameroon, Tanzania, Peru, Italy or USA, only three (Blastocystis, Entamoeba and Enteromonas) had an overall prevalence exceeding 10%. All three genera were more common in less industrialized populations and their prevalence differed between continents and subsistence modes, albeit not in a straightforward manner. The majority (72.5%) of colonized individuals carried at least two protozoan species, indicating that mixed-species colonizations are common. In addition, we detected only positive and no negative association patterns between different protozoa. Despite the pitfalls of the metagenomic approach, ranging from the availability of good-quality sequencing data to the lack of standard analytical procedures, we demonstrated its utility in simultaneous detection of multiple protozoan genera, and especially its ability to efficiently detect mixed-species colonizations. Our study corroborates and expands prevalence results previously obtained for Blastocystis sp. and provides novel data for Entamoeba spp. and several other protozoan genera. Furthermore, it indicates that multiple protozoa are common residents of the healthy human gut worldwide.

Indexed as

AdultAgedBlastocystisCameroonDeveloped CountriesDNA, RibosomalEntamoebaFecesFemaleGastrointestinal TractHealthy VolunteersHumansItalyMaleMetagenomicsMiddle AgedDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID30726303
PMCPMC6364966

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Registered trials

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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.