Advances in microbial ecosystem concepts and their consequences for ruminant agriculture
Open accessAbstract
Microbial transformations in the rumen ecosystem have a major impact on our ability to meet the challenge of reducing the environmental footprint of ruminant livestock agriculture, as well as enhancing product quality. Current understanding of the rumen microbial ecosystem is limited, and affects our ability to manipulate rumen output. The view of ruminal fermentation as the sum of activities of the dominant rumen microbiota is no longer adequate, with a more holistic approach required. This paper reviews rumen functionality in the context of the microbiota of the rumen ecosystem, addressing ruminal fermentation as the product of an ecosystem while highlighting the consequences of this for ruminant agriculture. Microbial diversity in the rumen ecosystem enhances the resistance of the network of metabolic pathways present, as well as increasing the potential number of new pathways available. The resulting stability of rumen function is further promoted by the existence of rumen microbiota within biofilms. These protected, structured communities offer potential advantages, but very little is currently known about how ruminal microorganisms interact on feed-surfaces and how these communities develop. The temporal and spatial development of biofilms is strongly linked to the availability of dietary nutrients, the dynamics of which must also be given consideration, particularly in fresh-forage-based production systems. Nutrient dynamics, however, impact not only on pathway inputs but also the turnover and output of the whole ecosystem. Knowledge of the optimal balance of metabolic processes and the corresponding microbial taxa required to provide a stable, balanced ecosystem will enable a more holistic understanding of the rumen. Future studies should aim to identify key ecosystem processes and components within the rumen, including microbial taxa, metabolites and plant-based traits amenable to breeding-based modification. As well as gaining valuable insights into the biology of the rumen ecosystem, this will deliver realistic and appropriate novel targets for beneficial manipulation of rumen function.
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Ruminants excrete approximately 70% of ingested N.
“ruminants excrete approximately 70% of ingested N (Macrae and Ulyatt, 1974; Dewhurst et al., 1996; Edwards et al., 2008; Kingston-Smith et al., 2008, 2010).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Edwards et al., 2008
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 Edwards et al., 2008
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Theodorou, M. K., Rosales, R. B., Kingston‐Smith, A. H., et al. (2001) · Cited by 12 · see citing works
Self-citationThe endogenous protein content of ruminant proximal duodenal digesta
Bartram, C. G. (1987) · Nottingham ePrints (University of Nottingham) · Cited by 12 · see citing works
Lee, M. R. F., Martı́nez, E., Scollan, N. D., et al. (2010) · Cited by 12 · see citing works
Self-citationThe isolation, characterization and enumeration of hyper-ammonia producing ruminal bacteria.
Russell, J. B., Rychlik, J. L., Aumaitre, A., Lee, B. D., & Ha, J. K. (2000) · Asian-Australasian Journal of Animal Sciences · Cited by 11 · see citing works
Measurement of nutrient supply at pasture
Ulyatt, M. J., Beever, D. E., Thomson, D. J., et al. (1980) · Proceedings of The Nutrition Society · Cited by 10 · see citing works
Improvement in livestock productivity by use of probiotics: A review
Kamra, D. N., & Pathak, N. N. (2005) · The Indian Journal of Animal Sciences · Cited by 9 · see citing works
Kobayashi, Y., Koike, S., Taguchi, H., et al. (2004) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.2004.877 · Cited by 9 · see citing works
Effect of defaunation on the metabolism of rumen micro-organisms
Nevel, V. A. N. (2005) · Cited by 9 · see citing works
Effect of forage type and level of fish oil inclusion on bacterial diversity in the rumen
Wallace, J. D., Scollan, N. D., Muetzel, S., et al. (2006) · Cited by 7 · see citing works
Self-citationEffect of forage type and level of fish oil inclusion on bacterial diversity in the rumen
Huws, S., Lee, M. R. F., Muetzel, S. M., et al. (2006) · Research Portal (Queen's University Belfast) · Cited by 6 · see citing works
Self-citationDiversity of rumen ciliates revealed by 18S ribosomal DNA analysis
der Staay, S. Y. M., van der Staay, G. W. M., Javorsky, P., et al. (2002) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 4 · see citing works
Huws, S., Mayorga, O. L., Kim, E. J., et al. (2007) · Research Portal (Queen's University Belfast) · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Huws, S. A., Creevey, C. J., Oyama, L. B., Mizrahi, I., Denman, S. E., Popova, M., Muñoz-Tamayo, R., Forano, E., Waters, S. M., Hess, M., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02161 · Cited by 487 · see citing works
Self-citationCritical evaluation of essential oils as rumen modifiers in ruminant nutrition: a review
Cobellis, G., Trabalza-Marinucci, M., & Yu, Z. (2016) · Science of The Total Environment · doi:10.1016/j.scitotenv.2015.12.103 · Cited by 291 · see citing works
CowPI: a rumen microbiome focussed version of the PICRUSt functional inference software
Wilkinson, T. J., Huws, S. A., Edwards, J. E., Kingston-Smith, A. H., Siu-Ting, K., Hughes, M., Rubino, F., Friedersdorff, M., & Creevey, C. J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01095 · Cited by 160 · see citing works
Vargas, J. E., Andrés, S., López-Ferreras, L., Snelling, T. J., Yáñez-Ruíz, D. R., García-Estrada, C., & López, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-58401-z · Cited by 113 · see citing works
Popova, M., McGovern, E., McCabe, M. S., Martin, C., Doreau, M., Arbre, M., Meale, S. J., Morgavi, D. P., & Waters, S. M. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00937 · Cited by 48 · see citing works
Plant-based strategies towards minimising ‘livestock's long shadow’
Kingston-Smith, A. H., Edwards, J. E., Huws, S. A., Kim, E. J., & Abberton, M. (2010) · Proceedings of The Nutrition Society · doi:10.1017/s0029665110001953 · Cited by 47 · see citing works
Self-citation
- Authors
- Edwards, J. E., Huws, S. A., Kim, E. J., Lee, M. R. F., Kingston-Smith, A. H., & Scollan, N. D.
- Affiliations
- Aberystwyth University (GB)
- Venue
- animal
- Publisher
- Elsevier BV
- Published
- 2008
- Volume
- 2
- Issue
- 5
- Pages
- 653-660
- ISSN
- 1751-7311 (ISSN-L)
- OpenAlex
- W2102071849
- Cited by
- 75
- References
- 120
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 6 · 2022: 1 · 2021: 3 · 2020: 6 · 2019: 2 · 2018: 5 · 2017: 4 · 2016: 4 · 2015: 3 · 2014: 11 · 2013: 6 · 2012: 7
- FWCI
- 8.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- animal (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Rothamsted Repository (Rothamsted Repository) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- Biotechnology and Biological Sciences Research Council (BBS/E/W/00003135B, BBS/E/W/00003135A)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Physical Sciences › Engineering › Building and Construction › Anaerobic Digestion and Biogas Production
- Keywords
- rumen microbiota, rumen fermentation, microbial diversity, nutrient dynamics, rumen metabolites
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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