Evidence map›Paper›PMID 28448616›Full record

ArticlePloS one2017

Abundance profiling of specific gene groups using precomputed gut metagenomes yields novel biological hypotheses.

Konstantin Yarygin, Alexander Tyakht, Andrey Larin, Elena Kostryukova, Sergei Kolchenko, Vilgelm Bitner, Dmitry Alexeev

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Konstantin YaryginFederal Research and Clinical Centre of Physical-Chemical Medicine (FRCC CPM), Malaya Pirogovskaya 1a, Moscow 119435, Russia.
Alexander TyakhtFederal Research and Clinical Centre of Physical-Chemical Medicine (FRCC CPM), Malaya Pirogovskaya 1a, Moscow 119435, Russia.
Andrey LarinFederal Research and Clinical Centre of Physical-Chemical Medicine (FRCC CPM), Malaya Pirogovskaya 1a, Moscow 119435, Russia.
Elena KostryukovaFederal Research and Clinical Centre of Physical-Chemical Medicine (FRCC CPM), Malaya Pirogovskaya 1a, Moscow 119435, Russia.
Sergei KolchenkoMoscow Institute of Physics and Technology, Institutsky lane 9, Dolgoprudny, Moscow Region, 141700, Russia.
Vilgelm BitnerMoscow Institute of Physics and Technology, Institutsky lane 9, Dolgoprudny, Moscow Region, 141700, Russia.
Dmitry AlexeevFederal Research and Clinical Centre of Physical-Chemical Medicine (FRCC CPM), Malaya Pirogovskaya 1a, Moscow 119435, Russia.
Moscow Institute of Physics and Technology · RUResearch Institute of Physical Chemical Medicine · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota is essentially a multifunctional bioreactor within a human being. The exploration of its enormous metabolic potential provides insights into the mechanisms underlying microbial ecology and interactions with the host. The data obtained using "shotgun" metagenomics capture information about the whole spectrum of microbial functions. However, each new study presenting new sequencing data tends to extract only a little of the information concerning the metabolic potential and often omits specific functions. A meta-analysis of the available data with an emphasis on biomedically relevant gene groups can unveil new global trends in the gut microbiota. As a step toward the reuse of metagenomic data, we developed a method for the quantitative profiling of user-defined groups of genes in human gut metagenomes. This method is based on the quick analysis of a gene coverage matrix obtained by pre-mapping the metagenomic reads to a global gut microbial catalogue. The method was applied to profile the abundance of several gene groups related to antibiotic resistance, phages, biosynthesis clusters and carbohydrate degradation in 784 metagenomes from healthy populations worldwide and patients with inflammatory bowel diseases and obesity. We discovered country-wise functional specifics in gut resistome and virome compositions. The most distinct features of the disease microbiota were found for Crohn's disease, followed by ulcerative colitis and obesity. Profiling of the genes belonging to crAssphage showed that its abundance varied across the world populations and was not associated with clinical status. We demonstrated temporal resilience of crAssphage and the influence of the sample preparation protocol on its detected abundance. Our approach offers a convenient method to add value to accumulated "shotgun" metagenomic data by helping researchers state and assess novel biological hypotheses.

Indexed as

Gene Expression ProfilingMetagenomicsAlgorithmsAnti-Bacterial AgentsGastrointestinal MicrobiomeAnti-Bacterial Agents

Identifiers

PMID28448616
PMCPMC5407692
OpenAlexW2610010097

What OpenQuestion holds

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LicenceCC BY
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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.