Evidence map›Paper›PMID 38549118›Full record

ArticleOne health outlook2024

Time series of chicken stool metagenomics and egg metabolomics in changing production systems: preliminary insights from a proof-of-concept.

Michael E G Rosch, Jacqueline Rehner, Georges P Schmartz, Sascha K Manier, Uta Becker, Rolf Müller, Markus R Meyer, Andreas Keller, Sören L Becker, Verena Keller

Abstract read
In one paragraph

Article in One health outlook, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. SCiMS: Sex Calling in Metagenomic Sequences.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. 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

10 authors.

Michael E G Rosch *Medical Doctor program Human Medicine, Saarland University/ Saarland University Medical Center, 66123/66421, Saarbrücken/Homburg, Germany.
Jacqueline Rehner *Institute of Medical Microbiology and Hygiene, Saarland University, 66421, Homburg/Saar, Germany.
Georges P Schmartz *Department of Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Sascha K ManierDepartment of Experimental and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Saarland University, Center for Molecular Signaling (PZMS), 66421, Homburg/Saar, Germany.
Uta BeckerMIP Pharma GmbH, 66386, Sankt Ingbert, Germany.
Rolf MüllerHelmholtz Institute for Pharmaceutical Research Saarland, 66123, Saarbrücken, Germany.
Markus R MeyerDepartment of Experimental and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Saarland University, Center for Molecular Signaling (PZMS), 66421, Homburg/Saar, Germany.
Andreas KellerDepartment of Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Sören L BeckerInstitute of Medical Microbiology and Hygiene, Saarland University, 66421, Homburg/Saar, Germany.
Verena KellerDepartment of Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany. verena.keller@uks.eu.ORCID http://orcid.org/0000-0003-3240-1397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent production systems of livestock animals influence various factors, including the gut microbiota.

methodsWe investigated whether changing the conditions from barns to free-range chicken farming impacts the microbiome over the course of three weeks. We compared the stool microbiota of chicken from industrial barns after introducing them either in community or separately to a free-range environment.

resultsOver the six time points, 12 taxa-mostly lactobacilli-changed significantly. As expected, the former barn chicken cohort carries more resistances to common antibiotics. These, however, remained positive over the observed period. At the end of the study, we collected eggs and compared metabolomic profiles of the egg white and yolk to profiles of eggs from commercial suppliers. Here, we observed significant differences between commercial and fresh collected eggs as well as differences between the former barn chicken and free-range chicken.

conclusionOur data indicate that the gut microbiota can undergo alterations over time in response to changes in production systems. These changes subsequently exert an influence on the metabolites found in the eggs. The preliminary results of our proof-of-concept study motivate larger scale observations with more individual chicken and longer observation periods.

Indexed as

Egg metabolomicsIntestinal microbiomeLivestock animalsPoultryProduction systems

Identifiers

PMID38549118
PMCPMC10979557

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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.