The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,098
PAST: PALEONTOLOGICAL STATISTICAL SOFTWARE PACKAGE FOR EDUCATION AND DATA ANALYSIS
Hammer, Ø., Harper, D. A. T., & Ryan, P. D. (2001) · Palaeontologia Electronica · Cited by 17,871
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548
Estimación lineal de los requerimientos nutricionales del NRC para ganado de leche.
Elizondo-Salazar, J. A. (2014) · Agronomía Mesoamericana · doi:10.15517/am.v13i1.13244 · Cited by 6,497
Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788
Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR ampliconsPreprint
Haas, B. J., Gevers, D., Earl, A. M., Feldgarden, M., Ward, D. V., Giannoukos, G., Ciulla, D., Tabbaa, D., Highlander, S. K., Sodergren, E. J., et al. (2011) · Genome Research · doi:10.1101/gr.112730.110 · Cited by 3,527
Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis
Flint, H. J., Bayer, E. A., Rincón, M. T., Lamed, R., & White, B. A. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1817 · Cited by 1,759
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 592
Feasible Strategies for Enteric Methane Mitigation from Dairy Animals
Tyagi, N., Mishra, D. B., Vinay, V. V., & Kumar, S. (2022) · Soil biology · doi:10.1007/978-3-030-97291-2_19 · Cited by 4
1605 Rumen fluid metabolomics analysis associated with feed efficiency on crossbred steers
Artegoitia, V. M., Foote, A. P., Lewis, R. M., & Freetly, H. C. (2016) · Journal of Animal Science · doi:10.2527/jam2016-1605 · Cited by 4
Arruda, A. G., Deblais, L., Hale, V. L., Madden, C. C., Pairis-Garcia, M. D., Srivastava, V., Kathayat, D., Kumar, A., & Rajashekara, G. (2021) · PeerJ · doi:10.7717/peerj.12120 · Cited by 4
The genetic background of methane emission by dairy cows
van Engelen, S. (2018) · doi:10.18174/430631 · Cited by 4
Huang, W., Sha, Y., Liu, X., He, Y., Chen, X., Yang, W., Chen, Q., Gao, M., Wang, J., Wang, L., et al. (2025) · Genomics · doi:10.1016/j.ygeno.2025.111090 · Cited by 3
Furman, O., Sorek, G., Moraïs, S., Levin, L., Tovar-Herrera, O. E., Winkler, S., & Mizrahi, I. (2025) · The ISME Journal · doi:10.1093/ismejo/wraf252 · Cited by 3
“Thepresenceof the Bullei-dia genus was also detected, this genus was positively correlated to volatile fatty acid (VFA) production and milk yield in lambs and lactating cows [73, 74], indicating the metabolic contribution of early auxiliary genomes.”
Adams, S., Lakamp, A. D., Aluthge, N. D., Laible, E., Loy, J. D., Spangler, M. L., & Fernando, S. C. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1667498 · Cited by 3
“…complex microbial community has been shown to be associated with traits such as feed efficiency (Shabat et al., 2016; Li and Guan, 2017), methane emission (Wallace et al., 2015; Difford et al., 2018), milk yield and milk composition (Jami et al., 2014), and disease states (McCann et al., 2016).”
Challenges and strategies for reducing enteric methane emissions in sustainable animal production
Galati, R. L., Silva, L. C. R. P., Fonseca, A. S. R., Cabral, L. D. S., & Cerom, M. F. S. Q. (2023) · Concilium · doi:10.53660/clm-1691-23j63 · Cited by 3
Tibbs‐Cortes, B. W., Rahic-Seggerman, F. M., Schmitz‐Esser, S., Boggiatto, P. M., Olsen, S. C., & Putz, E. J. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1334858 · Cited by 3
Mohapatra, A., Trivedi, S., Kolte, A. P., Tejpal, C. S., Elavarasan, K., Vaswani, S., Malik, P. K., RAVISHANKAR, C. N., & Bhatta, R. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1431131 · Cited by 4
“In this study we have not considered the animal traits, but the increasing abundance of Firmicutes and F/B ratio with BW inclusion might have implications on the feed efficiency (Turnbaugh et al., 2006), average daily gain (Min et al., 2019), and milk fat yield (Jami et al., 2014).”
BackgroundMin, B. R., Uyeno, Y., Ismael, H., Abdo, H., Chaudhary, S., Hilaire, M., & Kanyi, V. (2025) · Animals · doi:10.3390/ani15050664 · Cited by 3
“Little has been done to examine the effect of different stages of the malting process associated with α -amylase concentrations on rumen fermentation profiles and methanogenesis, specifically related to performance”
RetractedTabor, E., Guadagnin, A. R., Guenther, M. C., Cangiano, L. R., Panisa, F., Anderson, B. E., Niehues, L., Marotz, C. A., Embree, M. M., & Laporta, J. (2025) · Journal of Dairy Science · doi:10.3168/jds.2025-26677 · Cited by 3
Zhou, J., Yang, M., Han, J., Lu, C., Li, Y., & Su, X. (2019) · RSC Advances · doi:10.1039/c9ra02594d · Cited by 3
Effects of Heat-stress on Rumen Bacterial Diversity and Composition of Holstein Cows
Kim, D. H., Kim, M. H., Kim, S. B., Ha, S. M., Son, J.-K., Lee, J. H., Hur, T., Lee, J. Y., Park, J., Choi, H., et al. (2019) · Han-guk choji josaryo hakoeji · doi:10.5333/kgfs.2019.39.4.227 · Cited by 3
Variation in Rumen Bacteria of Lacaune Dairy Ewes From One Week to the Next
Fresco, S., Marie‐Etancelin, C., Meynadier, A., & Boggio, G. M. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.848518 · Cited by 7
Important properties of lactic acid bacteria and their role in industry
Aleksanyan, T., Hakobyan, L., Dimov, S., Haertlé, T., & Bazukyan, I. L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13932-1.00009-x · Cited by 4
Insights into Effects of Combined Capric and Lauric Acid on Rumen Bacterial Composition
Vadroňová, M., Šťovíček, A., Výborná, A., Tyrolová, Y., Tichá, D., & Joch, M. (2024) · Microorganisms · doi:10.3390/microorganisms12061085 · Cited by 3
Chen, J., Wang, S., Yin, X., Duan, C., Li, J., Liu, Y., & Zhang, Y. (2024) · Animals · doi:10.3390/ani14162344 · Cited by 3
“…that production performance measures such as milk yield and milk composition are highly correlated with the abundance of various bacterial members in the rumen microbiota [16], which may therefore make the rumen microbiota composition an important regulator of ruminant production performance.”
BackgroundMicrobial co-presence and mutual-exclusion networks in the Bovine rumen microbiome
Wang, H., Zheng, H., Dewhurst, R. J., & Roehe, R. (2017) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2017.8217635 · Cited by 3
“These microorganisms play a vital role in their host’s physiology and without a healthy microbial population in the rumen, ruminants cannot function properly [5].”
BackgroundEffect of supplemental flaxseed oil on altering of rumen microbiome of cattle
Sheyda, Е. V., Lebedev, S. V., Miroshnikov, S. A., Duskaev, G. K., Ryazanov, V. A., Grechkina, V. V., & Rakhmatullin, S. G. (2021) · Животноводство и кормопроизводство · doi:10.33284/2658-3135-104-2-84 · Cited by 3
Ecological Aspects on Rumen Microbiome
Romagnoli, E. M., Kmit, M. C. P., Chiaramonte, J. B., Rossmann, M., & Mendes, R. (2017) · Springer eBooks · doi:10.1007/978-3-319-55804-2_16 · Cited by 6
(2017) · Advances in Animal Biosciences · doi:10.1017/s2040470017001479 · Cited by 2
Data of bacterial community dynamics resulting from total rumen content exchange in beef cattle
Clemmons, B. A., Henniger, M. T., & Myer, P. R. (2021) · BMC Research Notes · doi:10.1186/s13104-021-05726-1 · Cited by 3
Artiles-Ortega, E., Portal, O., Jeyanathan, J., Reguera-Barreto, B., Rodríguez, P. Y. D. L. F., Orozco, R. L., & Fievez, V. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.769438 · Cited by 3
“, 2010), prenatal or early in life modification of microbial communities of the gastrointestinal tract through nutritional interventions has been proposed to improve animal production (Abecia et al., 2013; Jami et al., 2014).”
BackgroundQuirino, D. F., Marcondes, M. I., de Oliveira, K. R., Guimarães, S. E. F., da Silva, J. S., Suen, G., Rossi, L. E., Cunha, C. S., Mantovani, H. C., & Rotta, P. P. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1132151 · Cited by 2
Rumen Microbes Associated Potential to Establish Climate Resilience In Ruminants – A Review
Silpa, M. V., Kalaignazhal, G., Rebez, E. B., Devaraj, C., Tüfekci, H., Mylostyvyi, R., Thanislass, J., SAHOO, A., Dunshea, F. R., & Sejian, V. (2025) · Annals of Animal Science · doi:10.2478/aoas-2025-0011 · Cited by 2
“Lower abundance of Bacteroidetes when compared to Firmicutes was associated with increased milk fat in lactating Israeli Holstein Friesian cows (Jami et al., 2014).”
Snelling, T. J., Condren, M., Huntington, J. A., Warren, H. E., Taylor-Pickard, J. A., & Sinclair, L. A. (2025) · Microbiology Spectrum · doi:10.1128/spectrum.00641-25 · Cited by 2
“Milk fat has been found to be positively correlated to the Firmicutes to Bacteroidetes ratio in the rumen microbiome (52).”
Zhou, J., Lian, S., Geng, Z., Yang, Y., Wu, R., & Wang, J. (2025) · In Vitro Cellular & Developmental Biology - Animal · doi:10.1007/s11626-025-01055-w · Cited by 2
“However, they are influenced by various factors, including lactation period, season, gut microbiota, parity, feed, liver function, breed, and breast health (Jami et al .”
Gao, X., Chen, Q., Sha, Y., He, Y., Liu, X., Chen, X., Shao, P., Huang, W., He, Y., Li, M., et al. (2025) · Microorganisms · doi:10.3390/microorganisms13092049 · Cited by 3
“This bacterial phylum can decompose proteins and carbohydrates in forage to produce volatile fatty acids (VFAs) and promote rumen development [41,42].”
Chen, T., Li, S., Xiao, J., Peng, R., Sha, M., Wang, J., Ma, J., Wang, W., Ma, M., Li, S., et al. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.140283 · Cited by 2
Li, Y., Yu, R., Tan, S., Sun, L., Yan, Y., Huang, J., Waseem, M., Wang, Z., & Li, C. (2025) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2025.104327 · Cited by 2
Lobo, R. R., Roesch, L. F. W., Grilli, E., & Faciola, A. P. (2023) · Fermentation · doi:10.3390/fermentation9080730 · Cited by 2
Lima, L. G. F., Targueta, C. P., Nunes, R., de Paula, R. S., Apolinário, A. M., Arnhold, E., Gomes, R. R., Caixeta, L. F. D. S., Miyagi, E. S., Corrêa, D. S., et al. (2023) · Animal Production Science · doi:10.1071/an22192 · Cited by 2
Lihodeevskiy, G. A., Bogatova, P. S., & Lihodeevskaya, O. E. (2024) · Agricultural science Euro-North-East · doi:10.30766/2072-9081.2024.25.2.159-171 · Cited by 2
Jiao, N., Feng, W., Ma, C., Li, H., Zhang, J., Zheng, J., & Guo, P. (2024) · Animals · doi:10.3390/ani15010025 · Cited by 2
Wybrane czynniki wpływające na mikrobiom układu pokarmowego przeżuwaczy i jego skład bazowy.
Cholewińska, P., Szeligowska, N., Smoliński, J., & Bawej, M. (2021) · Postępy Biochemii · doi:10.18388/pb.2021_374 · Cited by 2
“Skuteczność działania probiotycznego opiera się na konkurencyjnym wykorzystywaniu substancji odżywczych przez drobnoustroje [23-25].”
Steinwidder, A., Rohrer, H., Pfister, R., Gallnböck, M., Podstatzky, L., & Gasteiner, J. (2021) · Livestock Science · doi:10.1016/j.livsci.2021.104595 · Cited by 2
Lu, H., Chen, S., Li, F., Zhang, G., Geng, J., Zhang, M., Huang, X., & Wang, Y. (2024) · Animals · doi:10.3390/ani14121748 · Cited by 2
“Studies have reported that the structure of the bacterial community is associated with milk yield [7,8] and composition [7,9].”
BackgroundArruda, A. G., Deblais, L., Hale, V. L., Pairis-Garcia, M. D., Srivastava, V., Kathayat, D., Kumar, A., & Rajashekara, G. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/596130 · Cited by 2
Long reads from Nanopore sequencing as a tool for animal microbiome studiesPreprint
Delgado, B., Serrano, M., González, C., Bach, À., & González-Recio, Ó. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.21.886028 · Cited by 2
Microbial Patterns in Rumen Are Associated with Gain of Weight in Beef CattlePreprint
de Freitas, A. S., de David, D. B., Takagaki, B. M., & Roesch, L. F. W. (2020) · Preprints.org · doi:10.20944/preprints202002.0192.v1 · Cited by 2
Kyawt, Y. Y., Aung, M., Xu, Y., Sun, Z., Zhou, Y., Zhu, W., Padmakumar, V., Tan, Z., & Cheng, Y. (2023) · Research Square · doi:10.21203/rs.3.rs-3310898/v1 · Cited by 2
Toxin-Mediated Competition in Weakly Motile Bacteria.
Dean, A. D., Horsburgh, M., & Vasiev, B. (2019) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2019.07.013 · Cited by 4
“For example, they are a key part of the digestive process in humans [1, 2, 3, 4] and other higher animals [5, 6, 7], form vital symbiotic relationships with plants [8, 9], including many food crops [10], and decompose waste organic matter [11, 12].”
BackgroundMetagenomics: A Novel Tool for Livestock and Poultry Improvement: A Review
Pawar, S. S., Mohanapure, P. A., Brahmane, M. P., Bhendarkar, M. P., Nirmale, A. V., & Kurade, N. P. (2021) · Agricultural Reviews · doi:10.18805/ag.r-2167 · Cited by 1
Prabha, R., Kumari, R., Kumar, S., Bhati, J., Mishra, D. C., Rai, A. K., Samota, M. K., & Singh, D. P. (2025) · Dairy Science and Management · doi:10.1186/s44363-025-00002-0 · Cited by 1
Yin, N., Hu, Y., Cai, X., Gao, L., Wang, W., Wang, Y., & Qi, J. (2025) · Microorganisms · doi:10.3390/microorganisms13061266 · Cited by 2
“The rumen bacteria’s composition and activity have been demonstrated to have a dramatic impact on the host’s performance, health, and immune system [34,35].”
Analysis of the Microbiota of Milk from Holstein–Friesian Dairy Cows Fed a Microbial Supplement
Campbell, B. E., Hassan, M. M., Olchowy, T. W. J., Ranjbar, S., Soust, M., Ramirez-Garzon, O., Jassim, R. A. M. A., Moore, R. J., & Alawneh, J. I. (2025) · Animals · doi:10.3390/ani15142124 · Cited by 1
“Several studies found a positive correlation between the ratio of Bacillota:Bacteroidota found in the ruminal fluid of dairy cows and the percentage of fat in the milk [34–38].”
Wang, D., Yu, J., Wang, J., Tang, G., Hu, H., Jiang, X., Zhang, C., Su, X., Cao, Y., Lei, X., et al. (2025) · Journal of Dairy Science · doi:10.3168/jds.2025-26439 · Cited by 1
Differences in prokaryotic and viral community between rumen and feces
Sato, Y., Kumagai, H., Hirooka, H., & Yoshida, T. (2025) · Scientific Reports · doi:10.1038/s41598-025-27351-9 · Cited by 1
“Several studies have demonstrated that the rumen microbiome contributes to milk 2,3 and meat production 4–6 , influences feed efficiency 7,8 , and drives methane emissions 9,10 .”
Chen, W., Fan, Y., Huang, Y., He, J., & Liu, X. (2026) · Microorganisms · doi:10.3390/microorganisms14020504 · Cited by 1
“The functional profiles of gut microbiota serve as valuable indicators for predicting host metabolism and disease susceptibility [51–54].”
Jiang, M., Zhang, X., Jin, X., Shi, B., Xu, Y., & Wang, Z. (2026) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2026.116727 · Cited by 1
Exploring the Role of Rumen Microbiota and KLF15 Gene in the Performance of Growing Hu Sheep
Yang, X., Cheng, J., Zhang, X., Tian, H., Weng, X., Zhang, Y., Zhang, D., Xu, D., Huang, K., Li, X., et al. (2026) · Animal Genetics · doi:10.1002/age.70080 · Cited by 1
Scott, J., Brouard, J. S., Drouin, G., Ouellet, D. R., Ster, C., & Petri, R. M. (2026) · Journal of Dairy Science · doi:10.3168/jds.2025-27576 · Cited by 1
Anggraeny, Y. N., Widiawati, Y., Adegbeye, M. J., Limas-Martínez, A. G., Puspito, S., Gopar, R. A., Widodo, S., Hadiatry, M. C., Handiwirawan, E., Tiesnamurti, B., et al. (2026) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2026.102957 · Cited by 1
Wang, X., Liu, X., Hai, L., Han, G., Erdene, K., Bai, C., Cao, Q., Zheng, Y., Zhiping, L., & Ao, C. (2026) · Animals · doi:10.3390/ani16101565 · Cited by 1
“As the BH inclusion rate increased (BH75), the microbial community pivoted towards a highly specialized consortium characterized by the co-enrichment of Rikenellaceae and Prevotellaceae UCG-004 [51].”
Biotrof+, J., & Laptev, G. Y. (2021) · Sel skokhozyaistvennaya Biologiya · doi:10.15389/agrobiology.2021.2.356eng · Cited by 2
“Обилие представителей Bacteroidetes и Firmicutes в рубце молочных коров подтверждается результатами других авторов, полученными ранее (28-30), однако доля представителей Bacteroidetes, детектированных в нашем исследовании, была значительно выше по сравнению с данными этих исследователей.”
Čechová, M., & Andrlíková, M. (2021) · Acta Veterinaria Brno · doi:10.2754/avb202190020145 · Cited by 1
“The microbiome undoubtedly influences the health and disease of an individual, as evidenced in a number of recent studies (Jami et al. 2014; Malmuthuge and Guan 2017; Young et al. 2020).”
BackgroundRavelo, A. D., Ferm, P., Guo, Y., Omontese, B. O., Morley, P. S., Chen, C., Noyes, N. R., & Caixeta, L. S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0305674 · Cited by 2
Yang, H., Ren, J., Ji, P., Zhang, X., Mai, Z., Li, C., Zhao, N., Ma, T., Zhu, X., Hua, Y., et al. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1443712 · Cited by 1
“Both Firmicutes and Bacteroidetes are key players in the fermentation of fi ber and the degradation of carbohydrates, producing various cellulases to hydrolyze macromolecular compounds such as cellulose and sugar (Jami et al., 2014; Xie et al., 2023).”
BackgroundCharacterizing the hindgut microbiome in healthy and ketotic cows
Ju, Z., Li, R., Liu, W., Jiang, Q., Wang, J., Zhang, Y., Wang, X., Xiao, Y., Yang, C., Wei, X., et al. (2024) · All Life · doi:10.1080/26895293.2024.2393854 · Cited by 1
Wang, S. H., Liao, H. H., Chia-Xin, L., Chen, H.-M., Chen, L.-Y., Chuang, S.-T., & Hsu, J. (2024) · Czech Journal of Animal Science · doi:10.17221/86/2024-cjas · Cited by 1
Scheftgen, A. J., Skarlupka, J. H., Jewell, K. A., & Suen, G. (2025) · Dairy · doi:10.3390/dairy6010008 · Cited by 1
“These taxa are dominant in the rumen and have been previously associated with MPE [7,35,36].”
Cersosimo, L. M. (2017) · ScholarWorks -A service of University of Vermont Libraries (University of Vermont) · Cited by 1
Microbiomes Associated with Animals: Implications for Livestock and Animal Production
Mantovani, H. C., Lopes, D. R. G., Bento, C. B. P., & de Oliveira, M. N. (2017) · Springer eBooks · doi:10.1007/978-3-319-59997-7_4 · Cited by 1
Metagenomics and its relevance to animal diseases and gut health
Kolte, A. P., Dhali, A., Malik, P. K., PAL, D., & Bhatta, R. (2020) · Indian Journal of Animal Health · doi:10.36062/ijah.59.2spl.2020.36-49 · Cited by 1
Lin, X., Li, K., Ju, L., Xu, H., Jiang, Y. Q., Hou, Q., Hu, Z., Wang, Y., & Wang, Z. (2021) · Advances in Bioscience and Biotechnology · doi:10.4236/abb.2021.127013 · Cited by 1
Farm Animals and Pets—Impact on Gut Microbiota
Golić, N., & Đokić, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819265-8.00102-9 · Cited by 1
Milk And Resistance Exercise: What Are The Real Factors That Can Limit The Intake?
Nicastro, H. (2016) · Journal of Nutritional Health & Food Science · doi:10.15226/jnhfs.2016.00158 · Cited by 1
Daning, D. R. A., Widyobroto, B. P., Yusiati, L. M., & Hanim, C. (2022) · Indonesian Journal of Biotechnology · doi:10.22146/ijbiotech.66680 · Cited by 1
“According to Jami et al. (2014), Bacteriodetes is the most dominant type of bacteria in the rumen, responsible for degrading several nutrients such as carbohydrates and protein.”
BackgroundCurrent Status of Practical Applications: Probiotics in Dairy Cattle
Jeni, R. E., Osorio-Doblado, A. M., Feldmann, K. P., Lourenco, J. M., Bu, D., & Callaway, T. R. (2023) · Springer eBooks · doi:10.1007/978-3-031-40512-9_12 · Cited by 1
Genetic control of methane emission, feed efficiency and metagenomics in dairy cattle
Difford, G. F. (2018) · doi:10.18174/458036 · Cited by 1
“…studies have detected 1 General introduction 38 significant associations between numerous OTUs, species or higher taxonomic levels in dairy cattle (Jami et al., 2014; Jewell et al., 2015; Shabat et al., 2016) and beef cattle (Guan et al., 2008; Hernandez-Sanabria et al., 2010; Myer et al., 2015).”
BackgroundMcDermott, K. (2018) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 1
Multi-Omics Study of The Salivary Modulation of The Rumen MicrobiomePreprint
Palma‐Hidalgo, J. M., Belanche, A., Jiménez, E., Martín-García, A. I., Newbold, C. J., Denman, S. E., & Yáñez-Ruíz, D. R. (2022) · Research Square · doi:10.21203/rs.3.rs-1167950/v1 · Cited by 1
“The rumen microbial diversity and function largely in uence many animal traits such as the e ciency of utilization of feeds and the environmental impact through methane emissions (Jami et al., 2014).”
BackgroundBrulin, L., Ducrocq, S., Even, G., Sanchez, M.-P., Martel, S., Merlin, S., Audebert, C., Croiseau, P., & Estellé, J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.13.571514 · Cited by 1
“As production is often linked to the digestive tract [74, 75], maybe these genera reflected the gut microbiota without being responsible for the differences of performances and were a proxy of the gut microbiota.”
BackgroundExploring the biological basis of residual feed intake in beef cattle using multi-Omics analysis.
Taiwo, G. A. (2023) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.12281 · Cited by 1
Assembly and maturation of calf gut microbiome from neonate to post-puberty
Kim, H. S., Lee, J., Whon, T. W., & Bae, J. (2025) · Scientific Data · doi:10.1038/s41597-025-04677-7 · Cited by 1
“Bacteria are the predominant microbes in the rumen ( > 91% of the whole microbiome) 1 , and adult ruminants fed indi-gestible plant materials are larg™ely dependent on their ruminal microbiome for feed digestion 2,3 .”
Rumen Microbial Community Profiling as a Tool to Study Ruminant Production
Janssen, P. H., Kittelmann, S., Henderson, G., & Seedorf, H. (2014) · Proceedings of the New Zealand Society of Animal Production
Chopyk, J. (2025) · Library, Museums and Press - UDSpace (University of Delaware) · doi:10.58088/51xf-6s50
Dinâmica do microbioma ruminal de ovinos (Ovis aries) e sua relação com a degradação de biomassa
Romagnoli, E. M. (2016) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.11.2016.tde-07062016-171940
“Em ruminantes, Jami et al. (2014) reportaram que o aumento de Firmicutes em vacas leiteras esta positivamente correlacionado com a porcentagem de gordura no leite.”
BackgroundFeed Effic iency And The M icrobiota Of The Alimentary Tract
Hruska, L., Freetly, H. C., & Myer, P. R. (2016)
112 Vaginal and uterine bacterial communities in postpartum lactating cows
Clemmons, B. A., Dantas, F. G., Franco, G. A., Reese, S. T., Adeyosoye, O. I., Smith, T. P. L., Myer, P. R., & Pohler, K. G. (2017) · Journal of Animal Science · doi:10.2527/asasmw.2017.112
Metagenoma do microbioma do rúmen de ovinos e prospecção de genes degradadores de biomassa vegetal
Kmit, M. C. P. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.11.2018.tde-01082018-110114
Interrelations between feed, host and rumen microbiota in dairy cows
Schären, M. (2019) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7412
Examination Of Bovine Rumen Fluid And Milk Fat Globule Membrane Proteome Dynamics
Honan, M. C. (2019) · ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Avaliação da associação entre microbioma fecal e eficiência alimentar em bovinos da raça Angus
Marcilli, G. M. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.74.2019.tde-04122019-120843
Effects of feeding strategy and duration of the dry period on the rumen microbiota of dairy cows
Khazanehei, H., Li, S., Khafipour, E., & Plaizier, J. C. B. (2019) · Canadian Journal of Animal Science · doi:10.1139/cjas-2019-0035
“As a result, during the first 7 wk of lactation, the ratio between the relative abundances of Firmicutes and the abundances of Bacteroidetes in rumen fluid increased more during the SHORT treatment than during the CONV treatment.”
BackgroundInfluentialIntegration between healthy and microbiome in holstein cows immediately after calving
Castro-Tardón, D. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.10.2020.tde-04062020-091318
“JAMI et al (2014) have evaluated a connection between the composition and abundance of resident GI bacterial taxa and the physiological parameters in healthy Holstein Friesian lactating cows.”
BackgroundInfluentialA Review on Steering System for Cars
Vinod, M., & Deepak, J. (2019) · Journal of Emerging Technologies and Innovative Research
The effects of heat stress and feed restriction on the microbiome of lactating dairy cows
Witzke, M. C. (2020) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/86548
Laptev, G., Yildirim, E. A., Il'ina, L. A., Филиппова, В., Brazhnik, E. A., Novikova, N., Tiurina, D. G., Tarlavin, N. V., & Ponomareva, E. S. (2021) · Smart innovation, systems and technologies · doi:10.1007/978-981-16-3349-2_3
(2021) · PeerJ · doi:10.7287/peerj.12120v0.2/reviews/1
“The microbiome is defined as the microbial community within or on a body site and is known to play an important role in human and animal health (Round & Mazmanian, 2009; Young, 2017; Nowland et al., 2019) and animal production (Jami, White & Mizrahi, 2014).”
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
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 ›
Are you an author, or do you see a problem with this page? Request a review