Evidence map›Paper›PMID 30252023›Full record

ArticleBioinformatics (Oxford, England)2019

MSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data.

Florian Plaza Oñate, Emmanuelle Le Chatelier, Mathieu Almeida, Alessandra C L Cervino, Franck Gauthier, Frédéric Magoulès, S Dusko Ehrlich, Matthieu Pichaud

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
–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

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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

76 citing papers in PubMed.

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16 more citing papers are in PubMed but not listed here.

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

8 authors.

Florian Plaza OñateEnterome, 94-96 Avenue Ledru Rollin, Paris, France.
Emmanuelle Le ChatelierMGP MetaGénoPolis, INRA, Université Paris-Saclay, Jouy en Josas, France.
Mathieu AlmeidaMGP MetaGénoPolis, INRA, Université Paris-Saclay, Jouy en Josas, France.
Alessandra C L CervinoEnterome, 94-96 Avenue Ledru Rollin, Paris, France.
Franck GauthierMGP MetaGénoPolis, INRA, Université Paris-Saclay, Jouy en Josas, France.
Frédéric MagoulèsCentraleSupélec, Université Paris Saclay, 9 rue Joliot Curie, Gif-sur-Yvette, France.
S Dusko EhrlichMGP MetaGénoPolis, INRA, Université Paris-Saclay, Jouy en Josas, France.
Matthieu PichaudEnterome, 94-96 Avenue Ledru Rollin, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationAnalysis toolkits for shotgun metagenomic data achieve strain-level characterization of complex microbial communities by capturing intra-species gene content variation. Yet, these tools are hampered by the extent of reference genomes that are far from covering all microbial variability, as many species are still not sequenced or have only few strains available. Binning co-abundant genes obtained from de novo assembly is a powerful reference-free technique to discover and reconstitute gene repertoire of microbial species. While current methods accurately identify species core parts, they miss many accessory genes or split them into small gene groups that remain unassociated to core clusters.

resultsWe introduce MSPminer, a computationally efficient software tool that reconstitutes Metagenomic Species Pan-genomes (MSPs) by binning co-abundant genes across metagenomic samples. MSPminer relies on a new robust measure of proportionality coupled with an empirical classifier to group and distinguish not only species core genes but accessory genes also. Applied to a large scale metagenomic dataset, MSPminer successfully delineates in a few hours the gene repertoires of 1661 microbial species with similar specificity and higher sensitivity than existing tools. The taxonomic annotation of MSPs reveals microorganisms hitherto unknown and brings coherence in the nomenclature of the species of the human gut microbiota. The provided MSPs can be readily used for taxonomic profiling and biomarkers discovery in human gut metagenomic samples. In addition, MSPminer can be applied on gene count tables from other ecosystems to perform similar analyses. AVAILABILITY AND IMPLEMENTATION: The binary is freely available for non-commercial users at www.enterome.com/downloads. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

MetagenomicsMicrobiotaGenome, BacterialGenome, MicrobialHumansMetagenomeSoftware

Identifiers

PMID30252023
PMCPMC6499236

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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.