Evidence map›Paper›PMID 31969452›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Identifying determinants of bacterial fitness in a model of human gut microbial succession.

Lihui Feng, Arjun S Raman, Matthew C Hibberd, Jiye Cheng, Nicholas W Griffin, Yangqing Peng, Semen A Leyn, Dmitry A Rodionov, Andrei L Osterman, Jeffrey I Gordon

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed, 53 citations in OpenAlex.

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  8. Present and future of microbiome-targeting therapeutics.The Journal of clinical investigation · 2025
    Review
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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

10 authors at 2 institutions in 2 countries.

Lihui FengCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110.
Arjun S RamanCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110.
Matthew C HibberdCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110; jgordon@wustl.edu.ORCID 0000-0001-6520-677X
Jiye ChengCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110.
Nicholas W GriffinCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110.
Yangqing PengCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110.
Semen A LeynA. A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 127994 Moscow, Russia.
Dmitry A RodionovA. A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 127994 Moscow, Russia.
Andrei L OstermanInfectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037.
Jeffrey I GordonCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110; jgordon@wustl.edu.
Washington University in St. Louis · USSanford Burnham Prebys Medical Discovery Institute · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Brian N Finck · 1999 to 2026
$30.2M
REGULATION OF GENE EXPRESSION - SMALL INTESTINER01DK030292 · NIDDK · WASHINGTON UNIVERSITY · PI JEFFREY I GORDON, ANDREI L OSTERMAN · 1986 to 2026
$6.5M
REGULATION OF GENE EXPRESSION IN THE SMALL INTESTINER37DK030292 · NIDDK · WASHINGTON UNIVERSITY · PI GORDON, JEFFREY I · 1993 to 2015
$4.0M
NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK030292NIDDK NIH HHS R37 DK030292
6 · The paper itself

Abstract

Human gut microbiota development has been associated with healthy growth but understanding the determinants of community assembly and composition is a formidable challenge. We cultured bacteria from serially collected fecal samples from a healthy infant; 34 sequenced strains containing 103,102 genes were divided into two consortia representing earlier and later stages in community assembly during the first six postnatal months. The two consortia were introduced alone (singly), or sequentially in different order, or simultaneously into young germ-free mice fed human infant formula. The pattern of fitness of bacterial strains observed across the different colonization conditions indicated that later-phase strains substantially outcompete earlier-phase strains, although four early-phase members persist. Persistence was not determined by order of introduction, suggesting that priority effects are not prominent in this model. To characterize succession in the context of the metabolic potential of consortium members, we performed in silico reconstructions of metabolic pathways involved in carbohydrate utilization and amino acid and B-vitamin biosynthesis, then quantified the fitness (abundance) of strains in serially collected fecal samples and their transcriptional responses to different histories of colonization. Applying feature-reduction methods disclosed a set of metabolic pathways whose presence and/or expression correlates with strain fitness and that enable early-stage colonizers to survive during introduction of later colonizers. The approach described can be used to test the magnitude of the contribution of identified metabolic pathways to fitness in different community contexts, study various ecological processes thought to govern community assembly, and facilitate development of microbiota-directed therapeutics.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaFecesFemaleGerm-Free LifeHumansInfantInfant, NewbornMaleMiceMice, Inbred C57BLModels, AnimalPhylogenyfeature-reduction algorithmsgut microbiomemetabolic pathwaysmicrobial community assembly/succession

Identifiers

PMID31969452
PMCPMC7007522
OpenAlexW3002689732

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.