Investigating microbial population structure and function in the chicken caeca and large intestine over time using metagenomics

Using 24 samples obtained from the caeca and the large intestine of commercial chickens, we assembled Metagenome-Assembled Genomes (MAGs) and characterise their functional profiles. Afterwards, using 8 samples, we integrated this sequencing data with chicken performance metadata body weight (BW), weight gain, feed intake (FI), feed conversion ratio (FCR) and age. MAGs belonging to specific families were found to be positively associated with changes in performance parameters. Functional analyses suggest changes in nutrient geochemical cycles including hydrogen generation within the carbon-cycle. Furthermore, 108 CAZymes were identified for MAGs belonging to two major families - glycoside hydrolase (GH) and polysaccharide lyase (PL), which are important for breakdown of dietary carbohydrates and fibres. A total of 13 polysaccharide lyases were identified functioning on day 20 with enzymes were specific to organs. Overall, our results provide a deeper understanding of microbial-mediated metabolism concerning key performance parameters in chicken production.

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Publication Details

Journal
BMC Research Notes
Published
2025-08-15
DOI
https://doi.org/10.1186/s13104-025-07441-7
Citations
2
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
1.61

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article

Investigating microbial population structure and function in the chicken caeca and large intestine over time using metagenomics

Aaron McKenna, Nicolae Corcionivoschi, Anne Richmond, Gladys Maria Pangga et al.
2 citations
BMC Research Notes
Gut microbiota and health
1.61
article

Investigating microbial population structure and function in the chicken caeca and large intestine over time using metagenomics

Aaron McKenna, Nicolae Corcionivoschi, Anne Richmond, Gladys Maria Pangga, Ozan Gundogdu, Umer Zeeshan Ijaz, Banaz Star-Shirko
article en
2 citations

Abstract

Using 24 samples obtained from the caeca and the large intestine of commercial chickens, we assembled Metagenome-Assembled Genomes (MAGs) and characterise their functional profiles. Afterwards, using 8 samples, we integrated this sequencing data with chicken performance metadata body weight (BW), weight gain, feed intake (FI), feed conversion ratio (FCR) and age. MAGs belonging to specific families were found to be positively associated with changes in performance parameters. Functional analyses suggest changes in nutrient geochemical cycles including hydrogen generation within the carbon-cycle. Furthermore, 108 CAZymes were identified for MAGs belonging to two major families - glycoside hydrolase (GH) and polysaccharide lyase (PL), which are important for breakdown of dietary carbohydrates and fibres. A total of 13 polysaccharide lyases were identified functioning on day 20 with enzymes were specific to organs. Overall, our results provide a deeper understanding of microbial-mediated metabolism concerning key performance parameters in chicken production.

BMC Research NotesVol. 18(1)
Pilgrim Hospital (GB), London School of Hygiene & Tropical Medicine (GB), Agri Food and Biosciences Institute (GB), University of Glasgow (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 15%
Gut microbiota and health
1.61
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