Evidence map›Paper›PMID 42111291›Full record

ArticleISME communications2026

Functional gut microbiota dynamics of generalist and specialist bacteria in association with chicken growth.

Sofia Marcos, Iñaki Odriozola, Ostaizka Aizpurua, Raphael Eisenhofer, Sarah Siu Tze Mak, Garazi Martin-Bideguren, Varsha Kale, Germana Baldi, Lorna J Richardson, Robert D Finn and 4 more

Abstract read
In one paragraph

Article in ISME communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

14 authors.

Sofia MarcosApplied Genomics and Bioinformatics, University of the Basque Country (EHU), Sarriena z/g, 48940 Leioa, Spain.
Iñaki OdriozolaCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen (UCPH), Øster Voldgade 5-7, 1350 Copenhagen, Denmark.
Ostaizka AizpuruaCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen (UCPH), Øster Voldgade 5-7, 1350 Copenhagen, Denmark.
Raphael EisenhoferCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen (UCPH), Øster Voldgade 5-7, 1350 Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-3843-0749
Sarah Siu Tze MakCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen (UCPH), Øster Voldgade 5-7, 1350 Copenhagen, Denmark.
Garazi Martin-BidegurenCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen (UCPH), Øster Voldgade 5-7, 1350 Copenhagen, Denmark.
Varsha KaleEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Saffron Walden CB10 1SD, United Kingdom.
Germana BaldiEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Saffron Walden CB10 1SD, United Kingdom.
Lorna J RichardsonEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Saffron Walden CB10 1SD, United Kingdom.ORCID https://orcid.org/0000-0002-3655-5660
Robert D FinnEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Saffron Walden CB10 1SD, United Kingdom.
Joan TarradasAnimal Nutrition, Institute of Agrifood Research and Technology (IRTA), 43120 Constantí, Catalonia, Spain.
Andone EstonbaApplied Genomics and Bioinformatics, University of the Basque Country (EHU), Sarriena z/g, 48940 Leioa, Spain.
M Thomas P GilbertCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen (UCPH), Øster Voldgade 5-7, 1350 Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-5805-7195
Antton AlberdiCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen (UCPH), Øster Voldgade 5-7, 1350 Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-2875-6446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early-life development of the gut microbiome in broiler chickens is a dynamic ecological process with significant implications for host physiology and productivity. Using 388 genome-resolved metagenomic and 61 metatranscriptomic samples across two replicated trials, we analysed the compositional and functional succession of the caecal microbiome in chickens from hatching to slaughter age. We reconstructed 822 bacterial genomes and distilled gene annotations into comprehensive metabolic traits that captured the functional capacities of each genome. We observed that the increase in microbial diversity with chicken age was accompanied by a decline in community-level average metabolic capacity, driven by a shift from metabolically versatile generalists (Lachnospiraceae) to hitherto uncultured, genome-reduced specialists (RF39, RF32, and UBA1242). However, the specific identity of the dominant genome-reduced specialists varied among individuals, resulting in contrasting associations with host body weight. At slaughter age, only 10 UBA660 (RF39) bacteria were positively associated with body weight, while other genome-reduced lineages, such as UBA1242 (Christensenellales), were among 190 negatively associated bacteria. Gene expression analyses revealed that despite their reduced functional repertoire, UBA660 exhibited greater metabolic activity than UBA1242, particularly in the production of two key metabolites for host nutrition and intestinal homeostasis: the essential amino acid lysine and the signaling molecule indole-3-acetate. These findings provide new insights into the functional ecology of the chicken gut microbiome and highlight the relevance of cultivation approaches to retrieve underexplored and uncultured bacterial taxa, which could open new avenues for microbiome-based strategies aimed at improving poultry growth and health in intensive production systems.

Indexed as

broiler chickenscaecal microbiotafunctional microbiota dynamicsmulti-omics

Identifiers

PMID42111291
PMCPMC13155120

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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.