Characterising the bacterial microbiota across the gastrointestinal tracts of dairy cattle: membership and potential function
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The bacterial community composition and function in the gastrointestinal tracts (GITs) of dairy cattle is very important, since it can influence milk production and host health. However, our understanding of bacterial communities in the GITs of dairy cattle is still very limited. This study analysed bacterial communities in ten distinct GIT sites (the digesta and mucosa of the rumen, reticulum, omasum, abomasum, duodenum, jejunum, ileum, cecum, colon and rectum) in six dairy cattle. The study observed 542 genera belonging to 23 phyla distributed throughout the cattle GITs, with the Firmicutes, Bacteroidetes and Proteobacteria predominating. In addition, data revealed significant spatial heterogeneity in composition, diversity and species abundance distributions of GIT microbiota. Furthermore, the study inferred significant differences in the predicted metagenomic profiles among GIT regions. In particular, the relative abundances of the genes involved in carbohydrate metabolism were overrepresented in the digesta samples of forestomaches, and the genes related to amino acid metabolism were mainly enriched in the mucosal samples. In general, this study provides the first deep insights into the composition of GIT microbiota in dairy cattle, and it may serve as a foundation for future studies in this area.
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Potential pathogens such as Escherichia, Shigella, Salmonella and Treponema spp. are most frequently found in the mucosa-associated bacterial microbiota.
“Potential pathogens such as Escherichia, Shigella, Salmonella and Treponema spp. are most frequently found in the mucosa-associated bacterial microbiota (Mao et al., 2015; Song et al., 2018).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Mao et al., 2015
Mucosa-associated communities differ from those associated with luminal contents and vary among intestinal regions.
“Mucosa-associated communities differ from those associated with luminal contents; and also vary among intestinal regions (Malmuthuge et al., 2014; Mao et al., 2015; Yeoman et al., 2018).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Mao et al., 2015
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- Authors
- Mao, S., Zhang, M., Liu, J., & Zhu, W.
- Affiliations
- Nanjing Agricultural University (CN)
- Corresponding author
- Mao, Shengyong
- Venue
- Scientific Reports
- Published
- 2015-11-03
- Volume
- 5
- Issue
- 1
- Pages
- 16116-16116
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC4630781
- OpenAlex
- W2171722104
- Cited by
- 532
- References
- 47
- Citations by year
- 2026: 23 · 2025: 30 · 2024: 55 · 2023: 49 · 2022: 61 · 2021: 57 · 2020: 78 · 2019: 51 · 2018: 65 · 2017: 49 · 2016: 13
- FWCI
- 91.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Keywords
- dairy cattle, gut microbiota, rumen, forestomach, intestinal mucosa, spatial heterogeneity, metagenomics, carbohydrate metabolism genes, Firmicutes, Bacteroidetes, Proteobacteria, milk production, host health
- MeSH terms
- Bacillota, Animals, Bacteria, Cattle, DNA, Bacterial, Fatty Acids, Volatile, Female, Hydrogen-Ion Concentration, Intestinal Mucosa, RNA, Ribosomal, 16S, Rumen, Sequence Analysis, DNA, Proteobacteria, Principal Component Analysis, Databases, Genetic, Bacteroidetes, Gastrointestinal Tract, Carbohydrate Metabolism, Microbiota
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