Cited by 592Ruminant Nutrition and Digestive PhysiologyGut microbiota and healthAnimal Nutrition and Physiology

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Potential Role of the Bovine Rumen Microbiome in Modulating Milk Composition and Feed Efficiency

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Jami, Elie, White, Bryan A., Mizrahi, Itzhak·2014·PLoS ONE

DOI 10.1371/journal.pone.0085423PMC PMC3899005

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Abstract

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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Figure 1 Phylum level composition. (A) Stacked bar plot showing the phylum-level composition for each individual cow rumen sampled. (B) Ratio of Firmicutes to Bacteroidetes.CC BY · PubMed Central

Figure 2 Correlation between milk-fat yield and Firmicutes-to-Bacteroidetes ratio. Scatter plot showing the amount of fat produced per day for each cow (X-axis), vs. the Firmicutes-to-Bacteroidetes ratio. Each point represents one individual cow. R2 of the linear regression is shown in the upper right corner of the plot.CC BY · PubMed Central

Figure 3 Correlation between efficiency parameter and genus abundance. Pearson linear correlation matrix of the dominant bacterial genera across the rumen samples. The genera were included in the matrix if they were in at least 50% of the cows and represented at least 0.1% of the bacterial community in at least one of the cows. Strong correlations are indicated by large squares, weak correlations by small squares. The scale colors denote whether the correlation is positive (closer to 1, blue squares) or negative (closer to −1, red squares) between the genera and the efficiency parameters. Color coding represents the phylum to which each genus belongs, as follows: Actinobacteria (green), Bacteroidetes (blue), Firmicutes (red), Proteobacteria (orange), Spirochaetes (purple), Tenericutes (light blue), TM7 (olive), Cyanobacteria (black).CC BY · PubMed Central

Figure 4 Abundance of genera within the phylum Firmicutes compared to the genus Prevotella. Stack bar showing the abundance of genera belonging to the phylum Firmicutes that were negatively correlated with Prevotella abundance. These included all genera that were in at least half of the cows sampled and constituted 0.1% of the reads in at least one cow. The gray portion of the bars represents the abundance of Prevotella (phylum Bacteroidetes). The dashed line separates samples with more than 50% Prevotella (left side) and from those with less than 50% Prevotella.CC BY · PubMed Central

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BackgroundInfluential
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Background
The microbiome of the buffalo digestive tract
Feng, T., Wang, T., Gao, N., Liu, Z., Cui, K., Duan, Y., Wu, S., Luo, Y., Li, Z., Yang, C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28402-9 · Cited by 102
Metagenomic analysis of the rumen microbiome of steers with wheat-induced frothy bloat
Pitta, D. W., Pinchak, W. E., Indugu, N., Vecchiarelli, B., Sinha, R., & Fulford, J. D. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00689 · Cited by 100
“For example, the ratio of Firmicutes to Bacteroidetes was found to have a positive correlation with milk fat in dairy cows (Jami et al., 2014).”
Background
Rumen bacterial communities shift across a lactation in Holstein, Jersey and Holstein × Jersey dairy cows and correlate to rumen function, bacterial fatty acid composition and production parameters
Bainbridge, M. L., Cersosimo, L. M., Wright, A. G., & Kraft, J. (2016) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiw059 · Cited by 96
Illumina sequencing analysis of the ruminal microbiota in high-yield and low-yield lactating dairy cows
Tong, J., Zhang, H., Yang, D., Zhang, Y., Xiong, B., & Jiang, L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198225 · Cited by 100
“Recent efforts to study the rumen microbiome have focused on identifying and quantifying ruminal microbial communities [8, 16].”
Background
Rumen fermentation, intramuscular fat fatty acid profiles and related rumen bacterial populations of Holstein bulls fed diets with different energy levels
Wang, H., He, Y., Li, H., Wu, F., Qiu, Q., Niu, W., Gao, Z., Su, H., & Cao, B. (2019) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-09839-3 · Cited by 96
Abundance of ruminal bacteria, epithelial gene expression, and systemic biomarkers of metabolism and inflammation are altered during the peripartal period in dairy cows
Minuti, A., Palladino, A., Khan, M. J., Alqarni, S., Agrawal, A., Piccioli-Cappelli, F., Hidalgo, F., Cardoso, F. C., Trevisi, E., & Loor, J. J. (2015) · Journal of Dairy Science · doi:10.3168/jds.2015-9722 · Cited by 95
“Similarly, ruminal microbiome structure is related to production traits such as milk production (Jami et al., 2014; Lima et al., 2015).”
Background
Does intra-ruminal nitrogen recycling waste valuable resources? A review of major players and their manipulation
Hartinger, T., Gresner, N., & Südekum, K. (2018) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-018-0249-x · Cited by 101
“The scientists observed high correlations between milkfat yield and the Firmicutes to Bacteroidetes ratio, which were still present at the genus level [135].”
Metagenomics reveals differences in microbial composition and metabolic functions in the rumen of dairy cows with different residual feed intake
Xie, Y., Sun, H., Xue, M., & Liu, J. (2022) · Animal Microbiome · doi:10.1186/s42523-022-00170-3 · Cited by 99
“Previous studies have reported differences in the rumen microbial composition between efficient and inefficient beef cattle [10, 11].”
Result
Microbiome niche modification drives diurnal rumen community assembly, overpowering individual variability and diet effects
Shaani, Y., Zehavi, T., Eyal, S., Miron, J., & Mizrahi, I. (2018) · The ISME Journal · doi:10.1038/s41396-018-0203-0 · Cited by 89
Rumen prokaryotic communities of ruminants under different feeding paradigms on the Qinghai-Tibetan Plateau
Xue, D., Chen, H., Zhao, X., Xu, S., Hu, L., Xu, T., Jiang, L., & Zhan, W. (2017) · Systematic and Applied Microbiology · doi:10.1016/j.syapm.2017.03.006 · Cited by 87
Vaginal and Uterine Bacterial Communities in Postpartum Lactating Cows
Clemmons, B. A., Reese, S. T., Dantas, F. G., Franco, G. A., Smith, T. P. L., Adeyosoye, O. I., Pohler, K. G., & Myer, P. R. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01047 · Cited by 88
“…relationships are not well characterized, there is a clear relationship between host phenotype and presence of different bacterial communities, abundances, and diversity in many species (Human Microbiome Project Consortium, 2012; Le Chatelier et al., 2013; Jami et al., 2014; Romero et al., 2014).”
Background
Evaluation of 16S rRNA amplicon sequencing using two next-generation sequencing technologies for phylogenetic analysis of the rumen bacterial community in steers
Myer, P. R., Kim, M., Freetly, H. C., & Smith, T. P. L. (2016) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2016.06.004 · Cited by 88
Transient changes in milk production efficiency and bacterial community composition resulting from near-total exchange of ruminal contents between high- and low-efficiency Holstein cows
Weimer, P. J., Cox, M. S., Vieira de Paula, T., Lin, M., Hall, M. B., & Suen, G. (2017) · Journal of Dairy Science · doi:10.3168/jds.2017-12746 · Cited by 86
“1 Corresponding author: Paul.Weimer@ars.usda.gov Journal of Dairy Science Vol. 100 No. 9, 2017 differences in the composition of the ruminal microbial community, interactions between the microbiome and host genetics, or both (Jami et al., 2014; Jewell et al., 2015; Shabat et al., 2016).”
Background
Identification of Rumen Microbial Genes Involved in Pathways Linked to Appetite, Growth, and Feed Conversion Efficiency in Cattle
Lima, J., Auffret, M. D., Stewart, R. D., Dewhurst, R. J., Duthie, C.-A., Snelling, T. J., Walker, A. W., Freeman, T. C., Watson, M., & Roehe, R. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00701 · Cited by 92
The microbiota of water buffalo milk during mastitis
Catozzi, C., Sánchez, A., Francino, O., Lecchi, C., Carlo, E. D., Vecchio, D., Martucciello, A., Fraulo, P., Bronzo, V., Cuscó, A., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184710 · Cited by 86
Tiny but mighty: The role of the rumen microbes in livestock production
Cammack, K. M., Austin, K. J., Lamberson, W. R., Conant, G. C., & Cunningham-Hollinger, H. C. (2018) · Journal of Animal Science · doi:10.1093/jas/skx053 · Cited by 105
Dynamic Changes in Fecal Microbial Communities of Neonatal Dairy Calves by Aging and Diarrhea
Kim, E. T., Lee, S.-J., Kim, T.-Y., Lee, H. G., Atikur, R. M., Gu, B., Kim, D. H., Park, B.-Y., Son, J.-K., & Kim, M. (2021) · Animals · doi:10.3390/ani11041113 · Cited by 90
“Most importantly, gut microbes degrade and transform carbohydrates, lipids or proteins, into a usable form, which are critical for livestock performance, such as weight gain [5] and milk production [6,7].”
Background
Rumen and lower gut microbiomes relationship with feed efficiency and production traits throughout the lactation of Holstein dairy cows
Monteiro, H. F., Zhou, Z., Gomes, M. S., Peixoto, P. M. G., Bonsaglia, É. C. R., Canisso, I. F., Weimer, B. C., & de Lima, F. S. (2022) · Scientific Reports · doi:10.1038/s41598-022-08761-5 · Cited by 93
Comparison of rumen bacterial communities in dairy herds of different production
Indugu, N., Vecchiarelli, B., Baker, L. D., Ferguson, J. D., Vanamala, J. K. P., & Pitta, D. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1098-z · Cited by 88
“Recent reports include changes in the composition of ruminal microbiota in dairy cows in association with parity [15–17], diet [18, 19], breed [20, 21], feed efficiency [14, 15, 22], milk yield and composition [19, 23] and physiological status [16, 18, 24, 25].”
Background
The Role of Innate Immune Response and Microbiome in Resilience of Dairy Cattle to Disease: The Mastitis Model
Bronzo, V., Lopreiato, V., Riva, F., Amadori, M., Curone, G., Addis, M. F., Cremonesi, P., Moroni, P., Trevisi, E., & Castiglioni, B. (2020) · Animals · doi:10.3390/ani10081397 · Cited by 91
“Recent studies using an omics-based structure have suggested that differences in rumen microbiota are associated with cattle production and health traits, such as feed efficiency [130,131], methane (CH4) yield [132], milk composition [133], and ruminal acidosis [134].”
Background
Assessment of Ruminal Bacterial and Archaeal Community Structure in Yak (Bos grunniens)
Zhou, Z., Fang, L., Meng, Q., Li, S., Chai, S., Liu, S., & Schonewille, J. T. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00179 · Cited by 83
“Similar to previous ruminant studies (Petri et al., 2013; Jami et al., 2014; Kim et al., 2014; Pitta et al., 2014b; Jewell et al., 2015), Bacteroidetes and Firmicutes were the predominant phyla regardless of feeding regime.”
Result
Impact of the rumen microbiome on milk fatty acid composition of Holstein cattle
Buitenhuis, B., Lassen, J., Noel, S. J., Plichta, D. R., Sørensen, P. B., Difford, G. F., & Poulsen, N. A. (2019) · Genetics Selection Evolution · doi:10.1186/s12711-019-0464-8 · Cited by 87
Assessing the relationship between the rumen microbiota and feed efficiency in Nellore steers
Lopes, D. R. G., Duarte, M. D. S., Reau, A. J. L., Zúñiga-Chaves, I., Mendes, T. A. D. O., Detmann, E., Bento, C. B. P., Mercadante, M. E. Z., Bonilha, S. F. M., Suen, G., et al. (2021) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-021-00599-7 · Cited by 86
Comparative Analysis of the Gut Microbial Communities in Forest and Alpine Musk Deer Using High-Throughput Sequencing
Hu, X., Liu, G., Shafer, A. B. A., Wei, Y., Zhou, J., Lin, S., Wu, H., Zhou, M., Hu, D., & Liu, S. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00572 · Cited by 78
“Firmicutes are the predominant cellulolytic bacteria and degrade fiber into volatile fatty acids for utilization by hosts, while the main function of Bacteroidetes is to degrade carbohydrates and proteins, and facilitate the development of gastrointestinal immune system (Fernando et al., 2010; Jami et al., 2014; Waite…”
Background
Interactions Between Rumen Microbes, VFAs, and Host Genes Regulate Nutrient Absorption and Epithelial Barrier Function During Cold Season Nutritional Stress in Tibetan Sheep
Liu, X., Sha, Y., Dingkao, R., Zhang, W., Lv, W., Hong Kui, W. E. I., Shi, H., Hu, J., Wang, J., Li, S., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.593062 · Cited by 77
Metagenomic analysis of the cow, sheep, reindeer and red deer rumen
Glendinning, L., Genç, B., Wallace, R. J., & Watson, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-81668-9 · Cited by 81
Metabolic influence of core ciliates within the rumen microbiome
Andersen, T. O., Altshuler, I., de León, A. V., Walter, J. M., McGovern, E., Keogh, K. A., Martin, C., Bernard, L., Morgavi, D., Park, T., et al. (2023) · The ISME Journal · doi:10.1038/s41396-023-01407-y · Cited by 92
Factors influencing ruminal bacterial community diversity and composition and microbial fibrolytic enzyme abundance in lactating dairy cows with a focus on the role of active dry yeast
AlZahal, O., Li, F., Guan, L. L., Walker, N. D., & McBride, B. W. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-11473 · Cited by 76
“Recent efforts to study the rumen microbiome have focused on analyzing the ruminal microbial communities (i.e., identification and quantification), whereas microbial activities are extrapolated based upon measuring changes in microbial communities (Jami et al., 2014).”
Background
Impact of selected environmental factors on microbiome of the digestive tract of ruminants
Cholewińska, P., Górniak, W., & Wojnarowski, K. (2021) · BMC Veterinary Research · doi:10.1186/s12917-021-02742-y · Cited by 81
Whole-plant corn silage improves rumen fermentation and growth performance of beef cattle by altering rumen microbiota
Cui, Y., Liu, H., Gao, Z., Xu, J., Liu, B., Guo, M., Yang, X., Niu, J., Zhu, X., Ma, S., et al. (2022) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-022-11956-5 · Cited by 78
“[11] and Huws et al [12] show that rumen microbiota has an important effect on the growth, health, and immunity of the host.”
Background
Protozoa populations are ecosystem engineers that shape prokaryotic community structure and function of the rumen microbial ecosystem
Solomon, R., Wein, T., Levy, B., Eshed, S., Dror, R., Reiss, V., Zehavi, T., Furman, O., Mizrahi, I., & Jami, E. (2021) · The ISME Journal · doi:10.1038/s41396-021-01170-y · Cited by 85
Symposium review: Understanding the role of the rumen microbiome in enteric methane mitigation and productivity in dairy cows
Pitta, D., Indugu, N., Narayan, K. S., & Hennessy, M. L. (2022) · Journal of Dairy Science · doi:10.3168/jds.2021-21466 · Cited by 88
Alterations in ruminal bacterial populations at induction and recovery from diet-induced milk fat depression in dairy cows
Pitta, D. W., Indugu, N., Vecchiarelli, B., Rico, D. E., & Harvatine, K. J. (2018) · Journal of Dairy Science · doi:10.3168/jds.2016-12514 · Cited by 73
“Interestingly, Jami et al. (2014) reported the ratio of Firmicutes to Bacteroidetes is positively correlated with milk fat percentage.”
BackgroundResult
Analysis of the gut bacterial communities in beef cattle and their association with feed intake, growth, and efficiency
Myer, P. R., Freetly, H. C., Wells, J. E., Smith, T. P. L., & Kuehn, L. A. (2017) · Journal of Animal Science · doi:10.2527/jas.2016.1059 · Cited by 85
Effect of roughage on rumen microbiota composition in the efficient feed converter and sturdy Indian Jaffrabadi buffalo (Bubalus bubalis)
Nathani, N. M., Patel, A. K., Mootapally, C. S., Reddy, B., Shah, S. V., Lunagariya, P. M., Kothari, R. K., & Joshi, C. G. (2015) · BMC Genomics · doi:10.1186/s12864-015-2340-4 · Cited by 73
“Previous studies on bovine rumen have reported Bacteroidetes to be negatively correlated with Firmicutes [31, 34].”
BackgroundResultInfluential
Review: The development of the gastrointestinal tract microbiota and intervention in neonatal ruminants
Zhang, Y., Choi, S. H., Nogoy, K. M. C., & Liang, S. (2021) · animal · doi:10.1016/j.animal.2021.100316 · Cited by 76
Rumen microbiome in dairy calves fed copper and grape-pomace dietary supplementations: Composition and predicted functional profile
Biscarini, F., Palazzo, F., Castellani, F., Masetti, G., Grotta, L., Cichelli, A., & Martino, G. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205670 · Cited by 76
Linking Peripartal Dynamics of Ruminal Microbiota to Dietary Changes and Production Parameters
Derakhshani, H., Tun, H. M., Cardoso, F. C., Plaizier, J. C., Khafipour, E., & Loor, J. J. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.02143 · Cited by 74
“This inter-animal variability has been extensively reported (Li et al., 2009; Weimer et al., 2010; Jami and Mizrahi, 2012; Jami et al., 2014), highlighting the impact of host genotype and phenotype on the development of the ruminal microbial ecosystem.”
BackgroundResult
— Invited Review — Metagenomic investigation of gastrointestinal microbiome in cattle
Kim, M., Park, T., & Yu, Z. (2017) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.17.0544 · Cited by 75
Understanding the Diversity and Roles of the Ruminal Microbiome
Keum, G. B., Pandey, S., Kim, E. S., Doo, H., Kwak, J., Ryu, S., Choi, Y., Kang, J., Kim, S., & Kim, H. B. (2024) · The Journal of Microbiology · doi:10.1007/s12275-024-00121-4 · Cited by 82
“…biological processes connected to host, a number of studies have established links between the rumen micro-biome and residual feed intake (RFI) phenotypes in beef cattle (Bowen et al., 2020; Carberry et al., 2012; Guan et al., 2008) as well as dairy cow (Jami et al., 2014; Jewell et al., 2015).”
Microbial community profiles of the colon from steers differing in feed efficiency
Myer, P. R., Wells, J. E., Smith, T. P. L., Kuehn, L. A., & Freetly, H. C. (2015) · SpringerPlus · doi:10.1186/s40064-015-1201-6 · Cited by 70
Potential role of rumen microbiota in altering average daily gain and feed efficiency in meat goats fed simple and mixed pastures using bacterial tag-encoded FLX amplicon pyrosequencing1
Min, B. R., Gurung, N. K., Shange, R. S., & Solaiman, S. G. (2019) · Journal of Animal Science · doi:10.1093/jas/skz193 · Cited by 67
Evolving understanding of rumen methanogen ecophysiology
Khairunisa, B. H., Heryakusuma, C., Ike, K. A., Mukhopadhyay, B., & Susanti, D. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1296008 · Cited by 78
“…in shaping the rumen microbiome and determining the efficiency of energy harvest from feed and extent of methane emission (Carberry et al., 2012; Jami et al., 2014; Kittelmann et al., 2014; McCann et al., 2014; Wallace et al., 2015; Roehe et al., 2016; Sasson et al., 2017; Difford et al., 2018;…”
Background
High‐production dairy cattle exhibit different rumen and fecal bacterial community and rumen metabolite profile than low‐production cattle
Mu, Y., Lin, X., Wang, Z., Hou, Q., Wang, Y., & Hu, Z. (2018) · MicrobiologyOpen · doi:10.1002/mbo3.673 · Cited by 67
“Prevotella was found negatively associated with RFI in dairy cows (Jami et al., 2014), and the same study also suggested there was a strong negative correlation (Pearson R = −0.69, p = 5 × 10−3) between Prevotella and milk- fat yield.”
BackgroundResultInfluential
Impact of levels of total digestible nutrients on microbiome, enzyme profile and degradation of feeds in buffalo rumen
Kala, A., Kamra, D. N., Kumar, A., Agarwal, N., Chaudhary, L. C., & Joshi, C. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172051 · Cited by 65
Alterations in the Rumen Liquid-, Particle- and Epithelium-Associated Microbiota of Dairy Cows during the Transition from a Silage- and Concentrate-Based Ration to Pasture in Spring
Schären, M., Kiri, K., Riede, S., Gardener, M. C., Meyer, U., Hummel, J., Urich, T., Breves, G., & Dänicke, S. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00744 · Cited by 65
“…that the rumen microbiota of dairy cows and steers can be linked to different phenotypic characteristics such as milk production and composition (Jami et al., 2014; Lima et al., 2015), feed efficiency (Guan et al., 2008; Zhou et al., 2009, 2010; Hernandez-Sanabria et al., 2010, 2012; Carberry…”
Background
Review: The application of omics to rumen microbiota function
Denman, S. E., Morgavi, D., & McSweeney, C. S. (2018) · animal · doi:10.1017/s175173111800229x · Cited by 66
“Ef ﬁ cient dairy cattle de ﬁ ned by RFI exhibited a lower richness of abundant microbial species for both 16S rRNA and at the microbial functional gene level (Shabat et al., 2016).”
Influential
Effects of the dose and viability of Saccharomyces cerevisiae. 2. Ruminal fermentation, performance of lactating dairy cows, and correlations between ruminal bacteria abundance and performance measures
Jiang, Y., Ogunade, I. M., Arriola, K. G., Qi, M., Vyas, D., Staples, C. R., & Adesogan, A. T. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12371 · Cited by 66
“Jami et al. (2014) reported that the abundance of various rumen bacterial taxa and milk composition or feed efficiency are highly correlated, suggesting that the bacterial community plays an important role in regulating host physiological parameters.”
BackgroundResult
Dietary Energy Levels Affect Rumen Bacterial Populations that Influence the Intramuscular Fat Fatty Acids of Fattening Yaks (Bos grunniens)
Hu, R., Zou, H., Wang, H., Wang, Z., Wang, X., Ma, J., Shah, A. M., Peng, Q., Bai, X., Wang, L., et al. (2020) · Animals · doi:10.3390/ani10091474 · Cited by 61
“[7] reported a strong relationship between rumen fermentation and dairy cow milk fat yield.”
Background
Starch-Rich Diet Induced Rumen Acidosis and Hindgut Dysbiosis in Dairy Cows of Different Lactations
Neubauer, V., Petri, R. M., Humer, E. C., Kröger, I., Reisinger, N., Baumgartner, W., Wagner, M., & Zebeli, Q. (2020) · Animals · doi:10.3390/ani10101727 · Cited by 67
“Another major contributing factor is the adaptation of the gut microbiome, of which the rumen and fecal microbiome vary in high and low producing dairy cattle [14,15] and with age [16].”
Background

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
ORCID: Jami, Elie
White, Bryan A.
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)
DOI: 10.1371/journal.pone.0085423
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: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
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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Potential Role of the Bovine Rumen Microbiome in Modulating Milk Composition and Feed Efficiency

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