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Potential Role of the Bovine Rumen Microbiome in Modulating Milk Composition and Feed Efficiency
Open accessAbstract
Ruminants are completely dependent on their microbiota for feed digestion and consequently, their viability. It is therefore tempting to hypothesize a connection between the composition and abundance of resident rumen bacterial taxa and the physiological parameters of the host. Using a pyrosequencing approach, we characterized the rumen bacterial community composition in 15 dairy cows and their physiological parameters. We analyzed the degree of divergence between the different animals and found that some physiological parameters, such as milk yield and composition, are highly correlated with the abundance of various bacterial members of the rumen microbiome. One apparent finding was a strong correlation between the ratio of the phyla Firmicutes to Bacteroidetes and milk-fat yield. These findings paralleled human studies showing similar trends of increased adiposity with an increase in Bacteroidetes. This correlation remained evident at the genus level, where several genera showed correlations with the animals' physiological parameters. This suggests that the bacterial community has a role in shaping host physiological parameters. A deeper understanding of this process may allow us to modulate the rumen microbiome for better agricultural yield through bacterial community design.
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“Jami et al. (2014) also reported a positive correlation between RFI and the uncultured rumen bacterium RF39,”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Jami et al., 2014
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“Jami et al. (2014) reported the ratio of rumen Firmicutes to Bacteroidetes explains 51% of variation in milk fat yield by dairy cows on the same dietary treatment, and suggested the rumen microbiome modulates milk composition.”
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Du, X., Li, F., Kong, F., Cui, Z., Li, D., Wang, Y., Zhu, Q. C., Shu, G., Tian, Y., Zhang, Y., et al. (2022) · Poultry Science · doi:10.1016/j.psj.2022.101998 · Cited by 48
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Williamson, J., Callaway, T. R., Lourenco, J. M., & Ryman, V. E. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.984119 · Cited by 48
“While the ratio of phyla Firmicutes to Bacteroidota in the rumen has been correlated to milk fat yield (Jami et al., 2014), little is known about the role of Bacteroidota in the milk microbiome.”
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“This is in accordance with other studies that also found a strong correlation between DMI and bacteria in the families Prevotellaceae and Ruminnococcaceae (Jami et al., 2014).”
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BackgroundRumen metaproteomics: Closer to linking rumen microbial function to animal productivity traits
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BackgroundRumen sampling methods bias bacterial communities observed
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“It is important to define the bacterial communities within the rumen because many genera have been linked to feed efficiency, milk yield, and milk composition in dairy cattle [3, 4].”
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“The optimized ruminal fermentation is essential in supporting health and productivity in the ruminants, since several physiological parameters of farm animals are highly correlated with the abundance of various bacterial members of the rumen microbiome (Jami et al. 2014).”
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“Further, associations to production outcomes have also been made, for example in dairy cattle Jami et al. (2014) demonstrated that the Firmicutes to Bacteroidetes ratio was strongly positively correlated to milk fat (Pearson R = 0.72).”
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“Increasing numbers of studies have uncovered the relationships between rumen microbiota and production traits of dairy and beef cattle such as methane emission (2, 3), feed efficiency (4, 5), and milk production and quality (6, 7).”
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“In humans and mice, the ratio of Bacteroidetes to Firmicutes has been shown to affect body fat and energy gaining [22,23] and similar findings have been reported in dairy cows [24].”
BackgroundStergiadis, S., Luna, I. C., Mora-Ortiz, M., Stewart, R. D., Dewhurst, R. J., Humphries, D. J., Watson, M., Roehe, R., & Auffret, M. D. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.590441 · Cited by 32
“The rumenmicrobiome is recognized for having an impact on animal performance traits such as health, methane emissions and feed efficiency (Russell, 1998; Jami et al., 2014; Auffret et al., 2017).”
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“[36] observed a positive correlation between the rumen Firmicutes-to-Bacteroidetes ratio and milk fat content.”
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“Jami, White, and Mizrahi (2014) showed a positive corre‐ lation between Dialister and milk yield.”
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Unravelling plasmidome distribution and interaction with its hosting microbiome
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“Data quality control and analyses were performed using the QIIME pipeline (Caporaso et al., 2010) as previously described (Jami et al., 2014)”
MethodRabee, A. E., Forster, R. J., Elekwachi, C. O., Sabra, E. A., & Lamara, M. (2020) · PeerJ · doi:10.7717/peerj.10184 · Cited by 30
Wang, Y., Nan, X., Zhao, Y., Jiang, L., Wang, H., Zhang, F., Hua, D., Liu, J., Yao, J., Yang, L., et al. (2021) · Applied and Environmental Microbiology · doi:10.1128/aem.02059-21 · Cited by 30
“Our previous study showed increased Bacteroidetes and decreased Firmicutes in the rumen of SCM cows in the I-3 group compared to the February 2022 Volume 88 Issue 4 e02059-21 aem.asm.org 14 control group (21).”
InfluentialZheng, J., Liang, S., Zhang, Y., Sun, X., Li, Y., Diao, J., Dong, L., Ni, H., Yin, Y., Ren, J., et al. (2022) · Animals · doi:10.3390/ani12212942 · Cited by 30
“Moreover, an increased ratio of Firmicutes to Bacteroidetes markedly affects energy gain in dairy cows [50].”
BackgroundDuarte, A. C., Holman, D. B., Alexander, T. W., Durmic, Z., Vercoe, P. E., & Chaves, A. V. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00704 · Cited by 30
“Although a number of studies have been conducted to evaluate the effect of diet on the rumen microbial community structure, most of these have investigated the effect of total mixed ration diets (Jami et al., 2014; Pitta et al., 2014; Veneman et al., 2015) or type of forages (Huws et al.”
BackgroundInfluentialNiu, W., He, Y., Xia, C., Rahman, M. A. U., Qiu, Q., Shao, T., Liang, Y., Ji, L., Wang, H., & Cao, B. (2017) · Scientific Reports · doi:10.1038/s41598-017-02258-2 · Cited by 29
Zhang, R., Zhang, W. B., Bi, Y., Tu, Y., Ma, T., Dong, L., Du, H.-C., & Diao, Q. (2019) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2019.03.004 · Cited by 31
Mamun, M. A. A., Sandeman, M. R., Rayment, P., Brook-Carter, P., Scholes, E., Kasinadhuni, N., Piedrafita, D. M., & Greenhill, A. R. (2020) · Animal Microbiome · doi:10.1186/s42523-020-0021-3 · Cited by 27
“Moreover, higher Firmicutes-to-Bacteroidetes ratio was found to be strongly correlated with daily milk-fat yield in cows [36].”
BackgroundRuminal Microbes Exhibit a Robust Circadian Rhythm and Are Sensitive to Melatonin
Ouyang, J., Wang, M., Bu, D., Ma, L., Liu, F., Chun, X., Du, C., Aboragah, A. A., & Loor, J. J. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.760578 · Cited by 28
Grinberg, I. R., Yin, G., Borovok, I., Miller, M. E. B., Yeoman, C. J., Dassa, B., Yu, Z., Mizrahi, I., Flint, H. J., Bayer, E. A., et al. (2015) · FEMS Microbiology Letters · doi:10.1093/femsle/fnu047 · Cited by 29
Zou, F., Zeng, D., Wen, B., Sun, H., Zhou, Y., Yang, M., Peng, Z., Xu, S., Wang, H., Fu, X., et al. (2016) · AMB Express · doi:10.1186/s13568-016-0273-1 · Cited by 30
Gaeta, N. C., Bean, E., Miles, A. M., de Carvalho, D. U. O. G., Alemán, M. A. R., Carvalho, J. S., Gregory, L., & Ganda, E. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.590325 · Cited by 32
“Prevotella has been reported to be the most abundant genus in the rumen (Chaucheyras-Durand and Ossa, 2014; Jami et al., 2014; Lima et al., 2015; Tong et al., 2018), whose species are related to degradation of starch, hemicellulose, and protein (Henderson et al., 2015).”
BackgroundMtshali, K., Khumalo, Z. T. H., Kwenda, S., Ismail, A., & Thekisoe, O. M. M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0273799 · Cited by 28
Zou, C., Gu, Q., Zhou, X., Xia, Z., Muhammad, W. I., Tang, Q., Liang, M., Lin, B., & Qin, G. (2019) · Journal of Animal Physiology and Animal Nutrition · doi:10.1111/jpn.13154 · Cited by 27
Hassan, F., Ebeid, H. M., Tang, Z., Li, M., Peng, L., Peng, K., Liang, X., & Yang, C. (2020) · Frontiers in Veterinary Science · doi:10.3389/fvets.2020.00569 · Cited by 27
“The decrease in Prevotella was correlated with numerically higher DMI, fat corrected milk (FCM), ECM, fat (%), and milk fat yield in MP35 as compared to the control, most likely due to the negative association of Prevotella with DMI and milk fat content (92, 96).”
BackgroundResultXue, M., Xie, Y., Zhong, Y., Liu, J., Guan, L. L., & Sun, H. (2021) · Animal Microbiome · doi:10.1186/s42523-021-00081-9 · Cited by 28
“Our previous study reported that Prevotella positively contributed to volatile fatty acid production in the rumen and milk protein yield [16], and other studies have also reported that the OTUs belonging to Prevotella were associated with the feed efficiency [30] and milk protein yield [31] of dairy cows.”
BackgroundResultCox, M. S., Deblois, C. L., & Suen, G. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.665776 · Cited by 26
Comparison of Gut Microbiota Diversity Between Captive and Wild Tokay Gecko (Gekko gecko)
Tang, S., Li, Y., Huang, C., Yan, S., Li, Y., Chen, Z., & Wu, Z. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.897923 · Cited by 27
Relationship between Rumen Bacterial Community and Milk Fat in Dairy Cows
Si, B., Liu, K., Huang, G., Chen, M., Yang, J., Wu, X., Li, N., Tang, W., Zhao, S., Zheng, N., et al. (2022) · Frontiers in Microbiology · doi:10.2139/ssrn.4256224 · Cited by 29
KORINGA, P. G., Thakkar, J. R., Pandit, R. J., Hinsu, A., Parekh, M. J., Shah, R. K., Jakhesara, S. J., & Joshi, C. G. (2018) · Functional & Integrative Genomics · doi:10.1007/s10142-018-0640-x · Cited by 29
Castillo‐Lopez, E., & Domínguez-Ordóñez, M. G. (2019) · Revista Mexicana de Ciencias Pecuarias · doi:10.22319/rmcp.v10i1.4547 · Cited by 37
“Por ejemplo, se han logrado nuevos conocimientos de los cambios en la población bacteriana de los rumiantes debido a un cambio en la composición de la dieta((21)), a un cambio en el pH ruminal((37)), a las bacterias biohidrogenizadoras((14,78)), al papel de las bacterias en la composición de la grasa de la leche((79))…”
BackgroundBuryakov, N. P., Aleshin, D. E., Buryakova, M. A., Zaikina, A. S., Laptev, G., Il'ina, L. A., Petrov, A. S., Kostomakhin, N. M., Sheikh, A. I. E., Sahwan, F. M., et al. (2022) · Veterinary Sciences · doi:10.3390/vetsci9100534 · Cited by 27
“In addition, the results obtained were consistent with the studies and works of Jami et al. (2014) [3], who noted that the species composition of the rumen depends on the habitat of cows, the season of the year, the quality of feed, breed and individual characteristics of the development of the…”
ResultEffect of Dietary and Age Changes on Ruminal Microbial Diversity in Holstein Calves
Wu, Y., Jiao, C., Diao, Q., & Tu, Y. (2023) · Microorganisms · doi:10.3390/microorganisms12010012 · Cited by 26
“The increased relative abundance of Firmicutes is associated with solid feed intake, energy acquisition, and feed efficiency [50,51].”
Li, S., Young, T., Archer, S. D. J., Lee, K. C. Y., Sharma, S. S., & Alfaro, A. C. (2022) · Current Microbiology · doi:10.1007/s00284-021-02758-5 · Cited by 23
Sasson, G., Moraïs, S., Kokou, F., Plate, K., Trautwein‐Schult, A., Jami, E., Bayer, E. A., Becher, D., & Mizrahi, I. (2022) · The ISME Journal · doi:10.1038/s41396-022-01295-8 · Cited by 29
Griffith, C., Ribeiro, G. O., Oba, M., McAllister, T. A., & Beauchemin, K. A. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01839 · Cited by 27
“For example, Jami et al. (2014) reported that increased milk fat production in dairy cows was strongly correlated to an increase in the ratio of Firmicutes to Bacteroidetes in rumen contents.”
BackgroundZhao, X., Zhang, Y., Rahman, A., Chen, M., Li, N., Wu, T., Qi, Y., Zheng, N., Zhao, S., & Wang, J. (2024) · Animal nutrition · doi:10.1016/j.aninu.2024.04.013 · Cited by 29
Biscarini, F., Cremonesi, P., Castiglioni, B., Stella, A., Bronzo, V., Locatelli, C., & Moroni, P. (2020) · Frontiers in Veterinary Science · doi:10.3389/fvets.2020.00581 · Cited by 26
“(60) observed a strong positive correlation between the F:B ratio in the rumen microbiota and milk-fat yield: this latter finding is mirrored in this study, where a higher F:B ratio has been found in the milk microbiome at the onset of milk production (calving and 5 DIM), when a sharp increase in fat anabolism in the…”
ResultZhao, J., Wang, Y., Zhang, M., Yao, Y., Tian, H., Sang, Z., Wang, L., & Xu, H. (2021) · Archives of Microbiology · doi:10.1007/s00203-021-02587-x · Cited by 25
Fregulia, P., Neves, A. L. A., Dias, R. J. P., & Campos, M. M. (2021) · Livestock Science · doi:10.1016/j.livsci.2021.104761 · Cited by 30
You, Z., Deng, J., Liu, J., Fu, J., Xiong, H., Luo, W., & Xiong, J. (2022) · PeerJ · doi:10.7717/peerj.13753 · Cited by 25
A glimpse of the future in animal nutrition science. 2. Current and future solutions
Tedeschi, L. O., Fonseca, M. A., MUIR, J. P., Poppi, D. P., Carstens, G. E., Angerer, J. P., & Fox, D. G. (2017) · Revista Brasileira de Zootecnia · doi:10.1590/s1806-92902017000500012 · Cited by 30
“More recent studies (Jami et al., 2014; McCann et al., 2014b; Myer et al., 2015; Roehe et al., 2016) have highlighted interrelationships that exist between host animals with divergent phenotypes for feed efficiency and their rumen microbiome structure.”
BackgroundPrevotella copri , a potential indicator for high feed efficiency in western steers
Brooke, C. G., Najafi, N., Dykier, K. C., & Hess, M. (2019) · Animal Science Journal · doi:10.1111/asj.13197 · Cited by 27
Zhang, H., Elolimy, A. A., Akbar, H., Thanh, L. P., Yang, Z., & Loor, J. J. (2022) · Journal of Dairy Science · doi:10.3168/jds.2021-21454 · Cited by 24
Fu, Y., Yao, S., Wang, T., Lu, Y., Han, H., Liu, X., Lv, D., Ma, X., Guan, S., Yao, Y., et al. (2023) · Microbiome · doi:10.1186/s40168-023-01620-z · Cited by 25
“Therefore, the abundance and stability of rumen microorganisms in dairy cows play a crucial role in their health and production performance [12, 13].”
Background
Metadata
- Authors
- Jami, E., White, B. A., & Mizrahi, I.
- Affiliations
- Tel Aviv University (IL)
- University of Illinois Urbana-Champaign (US)
- Agricultural Research Organization (IL)
- Corresponding author
- Mizrahi, Itzhak
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-01-22
- Volume
- 9
- Issue
- 1
- Pages
- e85423
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3899005
- OpenAlex
- W2042473229
- Cited by
- 588
- References
- 29
- Citations by year
- 2026: 26 · 2025: 46 · 2024: 78 · 2023: 54 · 2022: 67 · 2021: 82 · 2020: 55 · 2019: 46 · 2018: 38 · 2017: 47 · 2016: 22 · 2015: 20 · 2014: 7
- FWCI
- 63.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (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)
- Figshare (submittedVersion, cc-by)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › 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
- rumen microbiome, dairy cattle, milk composition, milk yield, feed efficiency, rumen bacterial community, Firmicutes/Bacteroidetes ratio, milk fat yield, host-microbe interactions, rumen bacteria
- MeSH terms
- Animals, Animal Feed, Animal Nutritional Physiological Phenomena, Bacteria, Cattle, DNA, Bacterial, Fats, Female, Milk, Phylogeny, RNA, Ribosomal, 16S, Rumen, Sequence Analysis, DNA, Bacteroidetes, Host-Pathogen Interactions, Microbiota
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