Evidence map›Paper›PMID 22307311›Full record

ArticleApplied and environmental microbiology2012

Abrupt temporal fluctuations in the chicken fecal microbiota are explained by its gastrointestinal origin.

M Sekelja, I Rud, S H Knutsen, V Denstadli, B Westereng, T Næs, K Rudi

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

64 citing papers in PubMed.

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4 more citing papers are in PubMed but not listed here.

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

7 authors.

M SekeljaNofima Mat, The Norwegian Institute of Food, Fisheries and Aquaculture Research, Ås, Norway. ms@genet-analysis.com
I Rud
S H Knutsen
V Denstadli
B Westereng
T Næs
K Rudi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main challenges in understanding the composition of fecal microbiota is that it can consist of microbial mixtures originating from different gastrointestinal (GI) segments. Here, we addressed this challenge for broiler chicken feces using a direct 16S rRNA gene-sequencing approach combined with multivariate statistical analyses. Broiler feces were chosen because of easy sampling and the importance for pathogen transmission to the human food chain. Feces were sampled daily for 16 days from chickens with and without a feed structure-induced stimulation of the gastric barrier function. Overall, we found four dominant microbial phylogroups in the feces. Two of the phylogroups were related to clostridia, one to lactobacilli, and one to Escherichia/Shigella. The relative composition of these phylogroups showed apparent stochastic temporal fluctuations in feces. Analyses of dissected chickens at the end of the experiment, however, showed that the two clostridial phylogroups were correlated to the microbiota in the cecum/colon and the small intestine, while the upper gut (crop and gizzard) microbiota was correlated to the lactobacillus phylogroup. In addition, chickens with a stimulated gizzard also showed less of the proximate GI dominating bacterial group in the feces, supporting the importance of the gastric barrier function. In conclusion, our results suggest that GI origin is a main determinant for the chicken fecal microbiota composition. This knowledge will be important for future understanding of factors affecting shedding of both harmful and beneficial gastrointestinal bacteria through feces.

Indexed as

BiodiversityAnimalsBacteriaChickensCluster AnalysisDNA, BacterialDNA, RibosomalFecesGastrointestinal TractHumansMolecular Sequence DataPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNATime FactorsDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID22307311
PMCPMC3318845

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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.