Evidence map›Paper›PMID 38486074›Full record

ArticleNature microbiology2024

Resource competition predicts assembly of gut bacterial communities in vitro.

Po-Yi Ho, Taylor H Nguyen, Juan M Sanchez, Brian C DeFelice, Kerwyn Casey Huang

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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

46 citing papers in PubMed.

  1. Article
  2. Anaerobic riboflavin degradation by human gutJournal of bacteriology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Anaerobic riboflavin degradation by human gutbioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

5 authors.

Po-Yi Ho *Department of Bioengineering, Stanford University, Stanford, CA, USA. poyiho@westlake.edu.cn.ORCID http://orcid.org/0000-0002-0160-0425
Taylor H Nguyen *Department of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-1288-8882
Juan M SanchezChan Zuckerberg Biohub, San Francisco, CA, USA.
Brian C DeFeliceChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-8243-0300
Kerwyn Casey HuangDepartment of Bioengineering, Stanford University, Stanford, CA, USA. kchuang@stanford.edu.ORCID http://orcid.org/0000-0002-8043-8138

Funding

A universal pipeline for functional characterization of the human microbiota at a massive scaleRM1GM135102 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BUIE, CULLEN RICHARD, DEUTSCHBAUER, ADAM M · 2020 to 2024
$7.6M
Antimicrobial Resistance and Horizontal Gene Transfer in the Human Gut Microbiome in Response to an AntibioticR01AI147023 · NIAID · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI RELMAN, DAVID A. · 2020 to 2024
$3.5M
Mechanistic models for predicting the dynamics of microbial communitiesF32GM143859 · NIGMS · STANFORD UNIVERSITY · PI HO, PO-YI · 2021 to 2023
$95k
NIAID NIH HHS R01 AI147023NIGMS NIH HHS F32 GM143859
6 · The paper itself

Abstract

Microbial community dynamics arise through interspecies interactions, including resource competition, cross-feeding and pH modulation. The individual contributions of these mechanisms to community structure are challenging to untangle. Here we develop a framework to estimate multispecies niche overlaps by combining metabolomics data of individual species, growth measurements in spent media and mathematical models. We applied our framework to an in vitro model system comprising 15 human gut commensals in complex media and showed that a simple model of resource competition accounted for most pairwise interactions. Next, we built a coarse-grained consumer-resource model by grouping metabolomic features depleted by the same set of species and showed that this model predicted the composition of 2-member to 15-member communities with reasonable accuracy. Furthermore, we found that incorporation of cross-feeding and pH-mediated interactions improved model predictions of species coexistence. Our theoretical model and experimental framework can be applied to characterize interspecies interactions in bacterial communities in vitro.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaBacteriaHumansMetabolomicsModels, Theoretical

Identifiers

What OpenQuestion holds

Textmetadata
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.