Redundancy, resilience, and host specificity of the ruminal microbiota: implications for engineering improved ruminal fermentations
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The ruminal microbial community is remarkably diverse, containing 100s of different bacterial and archaeal species, plus many species of fungi and protozoa. Molecular studies have identified a "core microbiome" dominated by phyla Firmicutes and Bacteroidetes, but also containing many other taxa. The rumen provides an ideal laboratory for studies on microbial ecology and the demonstration of ecological principles. In particular, the microbial community demonstrates both redundancy (overlap of function among multiple species) and resilience (resistance to, and capacity to recover from, perturbation). These twin properties provide remarkable stability that maintains digestive function for the host across a range of feeding and management conditions, but they also provide a challenge to engineering the rumen for improved function (e.g., improved fiber utilization or decreased methane production). Direct ruminal dosing or feeding of probiotic strains often fails to establish the added strains, due to intensive competition and amensalism from the indigenous residents that are well-adapted to the historical conditions within each rumen. Known exceptions include introduced strains that can fill otherwise unoccupied niches, as in the case of specialist bacteria that degrade phytotoxins such as mimosine or fluoroacetate. An additional complicating factor in manipulating the ruminal fermentation is the individuality or host specificity of the microbiota, in which individual animals contain a particular community whose species composition is capable of reconstituting itself, even following a near-total exchange of ruminal contents from another herd mate maintained on the same diet. Elucidation of the interactions between the microbial community and the individual host that establish and maintain this specificity may provide insights into why individual hosts vary in production metrics (e.g., feed efficiency or milk fat synthesis), and how to improve herd performance.
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Rumen microbes possess genes coding for a high level of functional redundancy.
“given that rumen microbes possess genes coding for a high level of functional redundancy (Edwards et al., 2008; Weimer, 2015).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Weimer, 2015
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Utilization of individual cellodextrins by three predominant ruminal cellulolytic bacteria
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Enrichment and isolation of a nitropropanol-metabolizing bacterium from the rumen
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Self-citationSome rumen bacteria degrading fructan
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Henderson, G., Cox, F., Ganesh, S., Jonker, A., Young, W., Collaborators, G. R. C., Abecia, L., Angarita, E., Aravena, P., Nora Arenas, G., et al. (2015) · Scientific Reports · doi:10.1038/srep14567 · Cited by 1,682 · see citing works
The rumen microbiome: balancing food security and environmental impacts
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Why does the microbiome affect behaviour?
Johnson, K. V.-A., & Foster, K. R. (2018) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0014-3 · Cited by 333 · see citing works
Critical evaluation of essential oils as rumen modifiers in ruminant nutrition: a review
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Malmuthuge, N., Griebel, P. J., & Guan, L. L. (2015) · Frontiers in Veterinary Science · doi:10.3389/fvets.2015.00036 · Cited by 281 · see citing works
Schären, M., Drong, C., Kiri, K., Riede, S., Gardener, M., Meyer, U., Hummel, J., Urich, T., Breves, G., & Dänicke, S. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-11994 · Cited by 149 · see citing works
Salami, S. A., Valenti, B., Bella, M., O ' Grady, M. N., Luciano, G., Kerry, J. P., Jones, E., Priolo, A., & Newbold, C. J. (2018) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiy061 · Cited by 91 · see citing works
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Hu, X., Liu, G., Li, Y., Wei, Y., Lin, S., Liu, S., Zheng, Y., & Hu, D. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01674 · Cited by 69 · see citing works
- Authors
- Weimer, P. J.
- Affiliations
- Agricultural Research Service (US)
- Corresponding author
- Weimer, Paul J.
- ORCID
- Weimer, Paul J.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2015-04-10
- Volume
- 6
- Pages
- 296-296
- ISSN
- 1664-302X (ISSN-L)
- PMC
- PMC4392294
- OpenAlex
- W2064490992
- Cited by
- 487
- References
- 147
- Citations by year
- 2026: 53 · 2025: 38 · 2024: 47 · 2023: 56 · 2022: 53 · 2021: 50 · 2020: 50 · 2019: 33 · 2018: 40 · 2017: 38 · 2016: 24 · 2015: 5
- FWCI
- 6.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Microbiology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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
- Physical Sciences › Engineering › Building and Construction › Anaerobic Digestion and Biogas Production
- Keywords
- rumen microbiota, microbial resilience, host specificity, core microbiome, Firmicutes, Bacteroidetes, probiotics, microbial competition, niche occupation, mimosine, fluoroacetate, feed efficiency, methane mitigation, fiber applications
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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