Evidence map›Paper›PMID 42026051›Full record

ArticleNature communications2026

The network structure of cross-feeding impacts microbial community diversity under growth-inhibiting stresses.

Daniel P Newton, Po-Yi Ho, Kerwyn Casey Huang

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Daniel P NewtonDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3613-3705
Po-Yi HoDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
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
Mechanistic models for predicting the dynamics of microbial communitiesF32GM143859 · NIGMS · STANFORD UNIVERSITY · PI HO, PO-YI · 2021 to 2023
$95k
NIGMS NIH HHS F32 GM143859NIGMS NIH HHS RM1 GM135102
6 · The paper itself

Abstract

Perturbations such as dietary shifts and drug treatment can reduce gut microbiome diversity, with negative consequences for host health, yet predicting diversity responses remains challenging because microbial species interact through multiple mechanisms. While nutrient competition and cross-feeding both influence microbiota assembly, environmental stresses such as antibiotics are typically studied experimentally in monoculture, and most theoretical frameworks consider nutrient competition alone. To investigate how these processes jointly shape community structure, we develop a consumer-resource model that incorporates nutrient competition, growth-inhibiting stress, and metabolite cross-feeding with a unified framework spanning varied cross-feeding architectures. For three-species communities, coexistence during narrow-spectrum growth inhibition is maximized by cyclic cross-feeding networks, whereas fully connected cross-feeding networks maximize coexistence during broad-spectrum growth inhibition. However, the benefits of cyclic cross-feeding depend strongly on community size and stress targeting: in communities with more than six species and six resources, cyclic networks can destabilize coexistence. These results are robust to inefficient leakage, dead-end metabolites, and embedding in larger communities, and large communities generalize to random leakage architectures in which connectivity determines the response to stress. Together, this framework shows that cross-feeding network architecture can fundamentally reshape how microbial communities respond to growth-inhibiting stresses.

Indexed as

Microbial InteractionsMicrobiotaStress, PhysiologicalAnti-Bacterial AgentsBacteriaBiodiversityModels, BiologicalAnti-Bacterial Agents

Identifiers

PMID42026051
PMCPMC13315859

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.