Evidence map›Paper›PMID 35456791›Full record

ArticleMicroorganisms2022

Genomics-Based Reconstruction and Predictive Profiling of Amino Acid Biosynthesis in the Human Gut Microbiome.

German A Ashniev, Sergey N Petrov, Stanislav N Iablokov, Dmitry A Rodionov

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
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  3. Review
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  12. Interactive tools for functional annotation of bacterial genomes.Database : the journal of biological databases and curation · 2024
    Article
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  18. AgingReG: a curated database of aging regulatory relationships in humans.Database : the journal of biological databases and curation · 2023
    Article
  19. Review
  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

4 authors at 3 institutions in 2 countries.

German A AshnievA.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 127994 Moscow, Russia.
Sergey N PetrovVavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia.
Stanislav N IablokovA.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 127994 Moscow, Russia.ORCID 0000-0003-1168-720X
Dmitry A RodionovSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA.
Institute for Information Transmission Problems · RUSanford Burnham Prebys Medical Discovery Institute · USVavilov Institute of General Genetics · RU

Funding

REGULATION OF GENE EXPRESSION - SMALL INTESTINER01DK030292 · NIDDK · WASHINGTON UNIVERSITY · PI JEFFREY I GORDON, ANDREI L OSTERMAN · 1986 to 2026
$6.5M
National Institute of Health DK030292-35NIDDK NIH HHS R01 DK030292Russian Science Foundation 19-14-00305
6 · The paper itself

Abstract

The human gut microbiota (HGM) have an impact on host health and disease. Amino acids are building blocks of proteins and peptides, also serving as precursors of many essential metabolites including nucleotides, cofactors, etc. Many HGM community members are unable to synthesize some amino acids (auxotrophs), while other members possess complete biosynthetic pathways for these nutrients (prototrophs). Metabolite exchange between auxotrophs and prototrophs affects microbial community structure. Previous studies of amino acid biosynthetic phenotypes were limited to model species or narrow taxonomic groups of bacteria. We analyzed over 2800 genomes representing 823 cultured HGM species with the aim to reconstruct biosynthetic pathways for proteinogenic amino acids. The genome context analysis of incomplete pathway variants allowed us to identify new potential enzyme variants in amino acid biosynthetic pathways. We further classified the studied organisms with respect to their pathway variants and inferred their prototrophic vs. auxotrophic phenotypes. A cross-species comparison was applied to assess the extent of conservation of the assigned phenotypes at distinct taxonomic levels. The obtained reference collection of binary metabolic phenotypes was used for predictive metabolic profiling of HGM samples from several large metagenomic datasets. The established approach for metabolic phenotype profiling will be useful for prediction of overall metabolic properties, interactions, and responses of HGM microbiomes as a function of dietary variations, dysbiosis and other perturbations.

Indexed as

amino acid metabolismhuman gut microbiomemetabolic reconstructionmetagenomicsnon-orthologous displacementsphenotype

Identifiers

PMID35456791
PMCPMC9026213
OpenAlexW4220749289

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.