Evidence map›Paper›PMID 41310806›Full record

ArticleMicrobiome2025

Metabolic modeling of microbial communities in the chicken ceca reveals a landscape of competition and co-operation.

Irina Utkina, Yi Fan, Benjamin P Willing, John Parkinson

Erratum issuedAbstract read
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Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Irina UtkinaDepartment of Molecular Genetics, University of Toronto, Toronto, Canada.
Yi FanDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Benjamin P WillingDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
John ParkinsonDepartment of Molecular Genetics, University of Toronto, Toronto, Canada. jparkin@sickkids.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMembers of the Bacteroidales, particularly Bacteroides species, with their ability to degrade dietary fibers and liberate otherwise unavailable substrates, exert a substantial influence on the microbiome of the lower intestine. However, our understanding of how this influence translates to the metabolic interactions that support community structure remains limited. In this study, we apply constraint-based modeling to investigate metabolic interactions in chicken cecal communities categorized by the presence or absence of Bacteroides.

resultsFrom metagenomic datasets previously generated from 33 chicken ceca, we constructed 237 metagenome-assembled genomes. Metabolic modeling of communities built from these genomes generated profiles of short-chain fatty acids largely consistent with experimental assays and confirmed the role of B. fragilis as a metabolic hub, central to the production of metabolites consumed by other taxa. In its absence, communities undergo significant functional reconfiguration, with metabolic roles typically fulfilled by B. fragilis assumed by multiple taxa. Beyond B. fragilis, we found Escherichia coli and Lactobacillus crispatus also mediate influential metabolic roles, which vary in the presence or absence of B. fragilis. Notably, the microbiome's compensatory adaptations in the absence of B. fragilis produced metabolic alterations resembling those previously associated with inflammatory bowel disease in humans, including energy deficiency, increased lactate production, and altered amino acid metabolism.

conclusionsThis work demonstrates the potential of using the chicken cecal microbiome as a model system for investigating the complex metabolic interactions and key contributions that drive community dynamics in the gut. Our model-based predictions offer insights into how keystone taxa like B. fragilis may shape the metabolic landscape and functional organization of microbial communities. The observed metabolic adaptations in the absence of B. fragilis share metabolic similarities with profiles seen in dysbiotic states in humans and underscore the translational relevance of these insights for understanding gut health across different host systems. Video Abstract.

Indexed as

BacteriaBacteroidesCecumChickensGastrointestinal MicrobiomeAnimalsEscherichia coliFatty Acids, VolatileMetagenomeMetagenomicsFatty Acids, VolatileCommunity assemblyCross-feedingKeystone speciesMetabolic modelingPoultry microbiome

Identifiers

PMID41310806
PMCPMC12661832

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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.