The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Rumen Microbiome from Steers Differing in Feed Efficiency
Open accessAbstract
The cattle rumen has a diverse microbial ecosystem that is essential for the host to digest plant material. Extremes in body weight (BW) gain in mice and humans have been associated with different intestinal microbial populations. The objective of this study was to characterize the microbiome of the cattle rumen among steers differing in feed efficiency. Two contemporary groups of steers (n=148 and n=197) were fed a ration (dry matter basis) of 57.35% dry-rolled corn, 30% wet distillers grain with solubles, 8% alfalfa hay, 4.25% supplement, and 0.4% urea for 63 days. Individual feed intake (FI) and BW gain were determined. Within contemporary group, the four steers within each Cartesian quadrant were sampled (n=16/group) from the bivariate distribution of average daily BW gain and average daily FI. Bacterial 16S rRNA gene amplicons were sequenced from the harvested bovine rumen fluid samples using next-generation sequencing technology. No significant changes in diversity or richness were indicated, and UniFrac principal coordinate analysis did not show any separation of microbial communities within the rumen. However, the abundances of relative microbial populations and operational taxonomic units did reveal significant differences with reference to feed efficiency groups. Bacteroidetes and Firmicutes were the dominant phyla in all ruminal groups, with significant population shifts in relevant ruminal taxa, including phyla Firmicutes and Lentisphaerae, as well as genera Succiniclasticum, Lactobacillus, Ruminococcus, and Prevotella. This study suggests the involvement of the rumen microbiome as a component influencing the efficiency of weight gain at the 16S level, which can be utilized to better understand variations in microbial ecology as well as host factors that will improve feed efficiency.
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Cites
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Cited by
Li, F., Li, C., Chen, Y., Liu, J., Zhang, C., Irving, B., Fitzsimmons, C., Plastow, G., & Guan, L. L. (2019) · Microbiome · doi:10.1186/s40168-019-0699-1 · Cited by 530
“ported associations between the unclassified [Mogibacteriaceae] and feed efficiency [69], and the QTL for feed efficiency on BTA26 overlaps with the SNP: rs110448978 for unclassified [Mogibacteriaceae] in our study.”
BackgroundA heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions
Wallace, R. J., Sasson, G., Garnsworthy, P. C., Tapio, I., Gregson, E., Bani, P., Huhtanen, P., Bayat, A. R., Strozzi, F., Biscarini, F., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav8391 · Cited by 410
The ruminal microbiome associated with methane emissions from ruminant livestock
Tapio, I., Snelling, T. J., Strozzi, F., & Wallace, R. J. (2017) · Journal of Animal Science and Biotechnology · doi:10.1186/s40104-017-0141-0 · Cited by 391
Li, F., & Guan, L. L. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.00061-17 · Cited by 346
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
“In order to obtain metatranscriptome data, rumen samples from the experiment were frozen and ground to a fine powder under liquid nitrogen before RNA was extracted using a hot phenol method (Ougham and Davies, 1990).”
Method
Metadata
- Authors
- Myer, P. R., Smith, T. P. L., Wells, J. E., Kuehn, L. A., & Freetly, H. C.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-06-01
- Volume
- 10
- Issue
- 6
- Pages
- e0129174
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W584481888
- Cited by
- 405
- References
- 47
- FWCI
- 57.71
- Type
- journal article
- Language
- en
- Open access
- gold
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