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 301–400 of 592
Liang, J., Ali, S., Lv, C., Yang, H., Zhao, X., Ni, X., Li, C., Danzeng, B., Wang, Y., & Quan, G. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1194425 · Cited by 11
The rumen microbiota contributed to the development of mastitis induced by subclinical ketosis
Tang, R., Yang, W., Song, J., Xiang, K., Li, S., Zhao, C., Zhang, N., Fu, Y., & Hu, X. (2024) · Microbial Pathogenesis · doi:10.1016/j.micpath.2023.106509 · Cited by 11
Ying, Z., Xie, S., Xiu, Z., Sun, Y., Yang, Q., Gao, H., Fan, W., & Wu, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-93710-1 · Cited by 12
“Although Prevotella can increase the concentrations of volatile fatty acids (VFAs, including acetate, propionate, and valerate) and improve overall feed efficiency 73 , it is negatively correlated with milk fat content 74,75 .”
Transcriptome Analysis of Bovine Rumen Tissue in Three Developmental Stages
Zhang, Y., Cai, W., Li, Q., Wang, Y., Wang, Z., Zhang, Q., Xu, L., Xu, L., Hu, X., Zhu, B., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.821406 · Cited by 11
Hassan, F., Tang, Z., Ebeid, H. M., Li, M., Peng, K., Liang, X., & Yang, C. (2021) · PeerJ · doi:10.7717/peerj.11241 · Cited by 13
Wu, T., Yang, F., Jiao, T., & Zhao, S. (2022) · Animals · doi:10.3390/ani12223215 · Cited by 11
“Firmicutes and Bacteroidetes play important roles in the energy metabolism of animals [54]: Firmicutes can produce various digestive enzymes to promote the digestion and absorption of nutrients [55], and Bacteroidetes have shown a strong degradation of protein and carbohydrates [56,57].”
BackgroundBacterial community dynamics in a rumen fluid bioreactor during in-vitro cultivation
Zapletalová, M., Kašparovská, J., Křížová, L., Kašparovský, T., Šerý, O., & Lochman, J. (2016) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2016.07.013 · Cited by 11
Yang, J. M., Li, Y., Sun, M., Guo, S., Lin, P., Wang, A., & Jin, Y. (2025) · Animal nutrition · doi:10.1016/j.aninu.2025.04.006 · Cited by 16
“The relative abundances of Fibrobacter in both liquid and solid phases of the rumen are positively correlated with milk fat concentration (Jami et al., 2014).”
InfluentialDraghi, S., Spinelli, M., Fontanarosa, C., Curone, G., Amoresano, A., Pignoli, E., Cagnardi, P., Vigo, D., Arioli, F., Materazzi, S., et al. (2024) · Animals · doi:10.3390/ani14060827 · Cited by 12
“It is widely known for several species, such as rabbits [69], chickens [70], cows [71], that the gut microbiota is largely influenced by the feeding regimen.”
BackgroundWang, X., Guo, T., Zhang, Q., Zhao, N., Hu, L., Liu, H., & Xu, S. (2024) · Ecology and Evolution · doi:10.1002/ece3.70337 · Cited by 11
“Bacteroidetes primarily facilitate the digestion and absorption of proteins and carbohydrates present in the food (Jami et al., 2014 ).”
BackgroundUtility of dairy microbiome as a tool for authentication and traceability
Alvanou, M. V., Loukovitis, D., Melfou, K., & Giantsis, I. Α. (2024) · Open Life Sciences · doi:10.1515/biol-2022-0983 · Cited by 11
“Furthermore, a strong correlation has been demonstrated between abundance of various bacterial members of the rumen micro-biome and physiological parameters of the host, such as milk yield and composition [18].”
BackgroundBai, H., Lai, Z., Zhang, J., Zheng, X., Zhang, J., Jin, W., Lin, L., & Mao, S. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.11.012 · Cited by 11
Fernando, S. C., Adams, S., Lakamp, A. D., & Spangler, M. L. (2025) · Journal of Dairy Science · doi:10.3168/jds.2024-25797 · Cited by 10
Jung, J. S., Soundharrajan, I., Kim, D., Baik, M., Ha, S., & Choi, K. C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232012391 · Cited by 10
“It is essential to evaluate the Firmicutes to Bacteroidetes ratio in order to determine whether gut microbes have an effect on host energy needs [32].”
BackgroundThe use of Prevotella bryantii 3C5 for modulation of the ruminal environment in an ovine model
Fraga, M., Fernández-Ciganda, S., Perelmuter, K., Pomiés, N., Cajarville, C., & Zunino, P. (2018) · Brazilian Journal of Microbiology · doi:10.1016/j.bjm.2018.07.004 · Cited by 10
North, M. K., Zotte, A. D., & Hoffman, L. C. (2019) · World Rabbit Science · doi:10.4995/wrs.2019.11905 · Cited by 10
“The genus Clostridium, which was the only member of the Clostridiaceae family detected in this study, was not found to significantly correlate with the FCR of dairy cattle (Jami et al., 2014).”
BackgroundResultComprehensive Survey of the Litter Bacterial Communities in Commercial Turkey Farms
Adhikari, B., Téllez‐Isaías, G., Jiang, T., Wooming, B., & Kwon, Y. M. (2020) · Frontiers in Veterinary Science · doi:10.3389/fvets.2020.596933 · Cited by 10
“These methods have certain limitations in terms of accurately depicting microbial diversity in samples, especially for those samples with higher level taxon richness (6).”
Golder, H. M., Denman, S. E., McSweeney, C. S., Celi, P., & Lean, I. J. (2023) · Journal of Dairy Science · doi:10.3168/jds.2023-23486 · Cited by 10
Liang, Z., Zhang, J., Ahmad, A. A., Han, J., Gharechahi, J., Du, M., Zheng, J., Wang, P., Yan, P., Salekdeh, G. H., et al. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.00788-23 · Cited by 9
“Recently, several “omics” studies demonstrated that the differences in rumen microbiota are associated with cattle health and production (22–24), including ruminal acidosis, feed efficiency and milk component.”
BackgroundShao, P., Sha, Y., Liu, X., He, Y., Wang, F., Hu, J., Wang, J., Li, S., Chen, X., Yang, W., et al. (2024) · Animals · doi:10.3390/ani14050788 · Cited by 10
Zhong, Z., Sun, P., Zhang, Y., Li, L., Han, D., Pan, X., & Zhang, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-58581-y · Cited by 10
“The microbiota of the rumen is extremely sophisticated and closely related to the physiological status and diet structure of the host 16,17 .”
BackgroundShah, T., Guo, X., Song, Y., Fang, Y., & Ding, L. (2024) · Animals · doi:10.3390/ani14162380 · Cited by 9
“These findings might be endorsed by the nutrient composition of forages and grazing patterns, as higher OM contents increase the growth of these fibrolytic bacteria.”
BackgroundWu, T., Jiang, X., Yang, F., Wei, Y., Zhao, S., & Jiao, T. (2022) · Animals · doi:10.3390/ani12233334 · Cited by 10
Enjalbert, F., Zened, A., Cauquil, L., & Meynadier, A. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1012341 · Cited by 9
Inclusion of Camelina sativa Seeds in Ewes’ Diet Modifies Rumen Microbiota
Christodoulou, C., Mavrommatis, A., Loukovitis, D., Symeon, G. K., Dotas, V., Kotsampasi, B., & Tsiplakou, E. (2023) · Animals · doi:10.3390/ani13030377 · Cited by 9
“As expected, through the NGS technique, Bacteroidetes, Firmicutes, and Proteobacteria were the phyla that dominated ewes’ rumen bacteriome [29,30].”
BackgroundShao, P., Sha, Y., Liu, X., He, Y., Guo, X., Hu, J. Y., Wang, J., Li, S., Zhu, C., Chen, G., et al. (2023) · Journal of Applied Microbiology · doi:10.1093/jambio/lxad278 · Cited by 10
Sofyan, A., Mitsumori, M., Ohmori, H., Uyeno, Y., Hasunuma, T., Akiyama, K., Yamamoto, H., Yokokawa, H., Yamaguchi, T., Shinkai, T., et al. (2016) · Animal Science Journal · doi:10.1111/asj.12745 · Cited by 9
Sadan, T., Aravindakshan, T. V., Radhika, G., Lali, F. A., & Ally, K. (2020) · Journal of Applied Genetics · doi:10.1007/s13353-020-00547-7 · Cited by 11
“Considering the fact that acetate and butyrate have a direct effect on maintaining adequate quantities of milk fat, multiple studies examined whether production traits correlated with change in microbial abundance (Jami et al. 2014; Jewell et al. 2015; Lima et al. 2015).”
BackgroundInfluentialLee, C., Copelin, J. E., Dieter, P. A., & Berry, E. A. (2020) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2020.114626 · Cited by 9
Parasites, Drugs and Captivity: Blastocystis-Microbiome Associations in Captive Water Voles
Betts, E. L., Hoque, S., Torbe, L., Bailey, J. R., Ryan, H., Toller, K., Breakell, V., Carpenter, A. I., Diana, A., Matechou, E., et al. (2021) · Biology · doi:10.3390/biology10060457 · Cited by 10
Genotype-associated heritable rumen bacteria can be a stable microbiota passed to the offspring
Zang, X., Sun, H., Xue, M., Liang, S., Guan, L. L., & Liu, J. (2024) · ISME Communications · doi:10.1093/ismeco/ycad020 · Cited by 8
“Linkage between rumen microbes and production traits of dairy and beef cattle, such as milk production and quality [(1, 2)] and feed efficiency [3, 4], has been widely reported recently.”
Yu, Y., Fu, R., Jin, C., Han, L., Gao, H., Fu, B., Qi, M., Li, Q., & Leng, J. (2025) · Animals · doi:10.3390/ani15020248 · Cited by 8
Wang, J., Liu, J., Guo, T., Zheng, C., Wang, F., Liu, T., Yuan, C., & Lu, Z. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1616555 · Cited by 8
Eddington, H., Carroll, C., Larsen, R. T., McMillan, B. R., & Chaston, J. M. (2021) · BMC Veterinary Research · doi:10.1186/s12917-021-02972-0 · Cited by 8
“In other ruminants, RF39 abundance has been positively associated with residual feed intake (RFI), which measures the efficiency of an animal’s feed consumption, and gross feed intake (GFE), which reports an animal’s milk output normalized to dry matter intake [24, 25].”
BackgroundThe microbiome shifts throughout the gastrointestinal tract of Bradford cattle in the Pampa biome
de Freitas, A. S., Gan, F. C., de David, D. B., & Roesch, L. F. W. (2022) · PLoS ONE · doi:10.1371/journal.pone.0279386 · Cited by 8
“Many studies were conducted, and many valuable findings were made in the rumen, such as the postulation of the core ruminal microbiota [12, 16], the prospection of probiotics to increase milk quality [17], and the identification of putative microbial enhancers of feed quality [18].”
BackgroundIncreased Yearling Weight Gain Is Associated with a Distinct Faecal Microbial Profile
Maslen, B. N., Duff, C. J., Clark, S., van der Werf, J. H. J., White, J. D., & Pant, S. D. (2023) · Animals · doi:10.3390/ani13193062 · Cited by 11
“Additionally, studies have shown that the type and abundance of gut microorganisms can influence feed efficiency and ADG in ruminants [4,9,23].”
InfluentialZhang, J., Shi, B., Lü, S., Wang, S., Ren, X., Liu, R., Dong, H., Li, K., Fouad, D., Ataya, F. S., et al. (2023) · Microbial Pathogenesis · doi:10.1016/j.micpath.2023.106496 · Cited by 8
The fecal microbiota of Holstein cows is heritable and genetically correlated to dairy performances
Brulin, L., Ducrocq, S., Estellé, J., Even, G., Martel, S., Merlin, S., Audebert, C., Croiseau, P., & Sanchez, M.-P. (2024) · Journal of Dairy Science · doi:10.3168/jds.2024-25003 · Cited by 11
Influence of maternal factors on the rumen microbiome and subsequent host performance1
Cunningham-Hollinger, H. C., Austin, K. J., & Cammack, K. M. (2018) · Translational Animal Science · doi:10.1093/tas/txy058 · Cited by 9
Wang, D., Tang, G., Yu, J., Li, Y., Wang, Y., Chen, L., Lei, X., Cao, Y., & Yao, J. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1098813 · Cited by 8
Metagenomics-Based Analysis of Candidate Lactate Utilizers from the Rumen of Beef Cattle
Bandarupalli, V. V. K., & St‐Pierre, B. (2023) · Microorganisms · doi:10.3390/microorganisms11030658 · Cited by 8
Witzig, M., Boguhn, J., Zeder, M., Seifert, J., & Rodehutscord, M. (2015) · Journal of Applied Microbiology · doi:10.1111/jam.12829 · Cited by 8
“Moreover, 454-sequencing data from Brulc et al. (2009) revealed high individual differences across three bulls fed only hay for the percentage of Bacteroidetes in the SAM fraction of the rumen ranging from 5–27%.”
BackgroundMethodInfluentialKala, A., Kamra, D. N., Agarwal, N., Chaudhary, L. C., & Joshi, C. G. (2020) · Indian Journal of Microbiology · doi:10.1007/s12088-020-00894-3 · Cited by 8
“milk production [12] and is mainly governed by the ratio of grain and fibre [13].”
BackgroundMin, B. R., Wang, W. L., Pitta, D., Indugu, N., Patra, A. K., Wang, H. H., Abrahamsen, F. W., Hilaire, M., & Puchała, R. (2024) · Journal of Animal Science · doi:10.1093/jas/skae198 · Cited by 10
Hu, F., Cheng, Y., Fan, B., Li, W., Ye, B., Wu, Z., Tan, Z., & He, Z. (2024) · mSystems · doi:10.1128/msystems.00873-24 · Cited by 7
“Specifically, many of the changes were identified within the phylum Firmicutes between different efficient animals, which has been shown to affect energy harvest (25).”
BackgroundAssociations of rumen and rectum bacteria with the sustained productive performance of dairy cows
Yang, J. M., Li, Y., Sun, M., Zhang, Y., Guo, S., Zhou, D. F., Lin, P., Wang, A., & Jin, Y. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1565034 · Cited by 7
Ban, C., Tian, X., Qi, L., Lounglawan, P., & Wen, G. (2024) · Animals · doi:10.3390/ani14081139 · Cited by 8
“…to the fact that Sika deer typically inhabit cold and high-altitude regions [43], where a high ratio of Firmicutes to Bacteroidetes is advantageous for fat deposition, helping animals adapt to severe cold cli-Animals mates [44], thereby enhancing their resilience to these challenging conditions.”
BackgroundGonzález-Gragera, E., García-López, J. D., Boutine, A., García-Marín, M. L., Fonollá, J., Gil-Martínez, L., Fernández, I., Martínez‐Bueno, M., & Baños, A. (2024) · Foods · doi:10.3390/foods13193165 · Cited by 7
“Numerous studies have reported a high prevalence of Listeria monocytogenes in both raw and processed fish and seafood, conclusively identifying these foods as potential carriers of this pathogen [1].”
BackgroundParadiso, R., Borriello, G., Censi, S. B., Salzano, A., Cimmino, R., Galiero, G., Fusco, G., Carlo, E. D., & Campanile, G. (2021) · Veterinary Sciences · doi:10.3390/vetsci8060096 · Cited by 7
“Firmicutes improve feed conversion ratio [11,59].”
Jeon, S., Lee, M., Seo, J., Kim, J. H., Kam, D.-K., & Seo, S. (2021) · Journal of Animal Science and Technology · doi:10.5187/jast.2021.e96 · Cited by 7
“Feeding a sufficient amount of dietary protein during the fattening period could help feed utilization and nutrient absorption, thereby producing high-quality beef cattle [2,3].”
BackgroundRuminal Bacterial Communities and Metabolome Variation in Beef Heifers Divergent in Feed Efficiency
Clemmons, B. A., Mulon, P., Anderson, D. E., Ault-Seay, T. B., Henniger, M. T., Schneider, L. G., Staton, M. E., Voy, B. H., Donohoe, D. R., Campagna, S. R., et al. (2022) · Ruminants · doi:10.3390/ruminants2020019 · Cited by 7
Darwin, D., Humaira, T. H., & Muliawati, A. (2022) · Journal of Applied Biology & Biotechnology · doi:10.7324/jabb.2022.10s108 · Cited by 7
“The diversities in rumen microbiota may be related to cattle production and health characteristics including milk production and milk composition, feed efficiency, methane generation, and ruminal acidosis [5-8].”
BackgroundWang, J., Zhao, K., Li, M., Fan, H., Wang, M., Xia, S., Yang, C., Bai, X., Liu, Z., Ni, J., et al. (2023) · Microorganisms · doi:10.3390/microorganisms11102423 · Cited by 8
“…in the rumen interact with the host, regulate the nutrient metabolism of the organism, participate in the material transport process, and play an important role in the organism’s immune media, which could feedback affect the feed utilization rate and the growth performance of the host [10,11].”
BackgroundRecent Application Technologies of Rumen Microbiome Is the Key to Enhance Feed Fermentation
Islam, M., & Lee, S. (2018) · JoLS Journal of Life Sciences · doi:10.5352/jls.2018.28.10.1244 · Cited by 7
Revolution in Rumen Microbiology
Kumar, S., & Pitta, D. (2015) · Springer eBooks · doi:10.1007/978-81-322-2401-3_24 · Cited by 7
Popova, M., Ferlay, A., Bougouin, A., Eugène, M., Martin, C., & Morgavi, D. (2022) · Journal of Dairy Research · doi:10.1017/s0022029922000498 · Cited by 6
“Therefore, researchers have already suggested the potential role of rumen microbiota in modulating fat profiles in cow milk (Vlaeminck et al., 2006; Jami et al., 2014; Ferlay et al., 2017).”
BackgroundLuecke, S. M., Aryee, G., Holman, D. B., Schmidt, K. N., King, L. E., Crouse, M. S., Ward, A. K. K., Dahlen, C. R., Caton, J. S. S., & Amat, S. (2024) · Animal Microbiome · doi:10.1186/s42523-024-00335-2 · Cited by 7
Wu, D., He, X., Lu, Y., Gao, Z., Chong, Y., Hong, J., Wu, J., Deng, W., & Xi, D. (2024) · Microorganisms · doi:10.3390/microorganisms12112154 · Cited by 6
Zhang, C., Zou, H., Hu, R., Peng, Q., Xue, B., Wang, L., Wu, F., Tang, Y., Wang, Z., & Xiao, J. (2025) · Fermentation · doi:10.3390/fermentation11030107 · Cited by 6
Castillo, A. R., Pol, M., Gaggiotti, M., Rienzo, J. A. D., & Cavallini, D. (2025) · Tropical Animal Health and Production · doi:10.1007/s11250-025-04734-8 · Cited by 7
“This relationship was described with potential in the bovine rumen microbiome modulating feed efficiency and milk production performance (Jami et al. 2014 ).”
Fraga, M., Fernández-Ciganda, S., Cajarville, C., Martinez, M. M., Abin‐Carriquiry, J. A., & Zunino, P. (2015) · Annals of Microbiology · doi:10.1007/s13213-015-1077-2 · Cited by 6
“The potential to modulate the ruminal microbiota in order to obtain better productive results now begins to be a reality (Jami et al. 2014), and this work represents an approach to understand possible ways to use native microorganisms for that purpose.”
BackgroundResultCaptivity restructures the gut microbiota of François' langurs (Trachypithecus francoisi)
Mo, F., Li, Y., Liu, Z., Zheng, J., Nong, D., Liang, J., Li, Y., & Huang, Z. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1166688 · Cited by 6
“In this study, captive langurs had a higher relative abundance of Bacteroidetes that facilitate the decomposition of polysaccharides and proteins (Fernando et al., 2010; Jami et al., 2014).”
BackgroundFloridia, V., Russo, N., D’Alessandro, E., Lopreiato, V., Pino, A., Amato, A., Liotta, L., Caggia, C., & Randazzo, C. L. (2023) · Microbiological Research · doi:10.1016/j.micres.2023.127510 · Cited by 6
Lin, L., Guo, Z., Bai, J., Zhong, Z., Li, J., & Guo, Q. (2024) · Global Ecology and Conservation · doi:10.1016/j.gecco.2024.e02983 · Cited by 6
Shah, S. A. U. R., Hao, Y., Tang, B., Ahmad, M., He, D., Nabi, G., Zheng, J., Wan, X., Wang, C., & Wang, K. (2025) · Environmental Research · doi:10.1016/j.envres.2025.121082 · Cited by 7
Functional Metagenomics from the Rumen Environment—A Review
Bekele, W., Zegeye, A., Simachew, A., & Assefa, G. (2021) · Advances in Bioscience and Biotechnology · doi:10.4236/abb.2021.125009 · Cited by 6
The role of microbiota in animal health and productivity: misinterpretations and limitations
Bajagai, Y. S., Trotter, M. G., WILLIAMS, T. M., Costa, D. F. A., Whitton, M. M., Ren, X., Wilson, C., & Stanley, D. (2022) · Animal Production Science · doi:10.1071/an21515 · Cited by 6
Temporal Changes in the Faecal Microbiota of Beef Cattle on Feedlot Placement
Maslen, B. N., Gray, L.-A., Ghorashi, S. A., White, J. D., Campbell, M. A., & Pant, S. D. (2022) · Animals · doi:10.3390/ani12192500 · Cited by 6
“For example, studies have shown that milk yield and composition are significantly correlated to the type and abundance of rumen microbiota in dairy cattle [10].”
ResultImproving the Inference of Co-Occurrence Networks in the Bovine Rumen Microbiome
Zheng, H., Wang, H., Dewhurst, R. J., & Roehe, R. (2018) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2018.2879342 · Cited by 6
“rumen, ruminants cannot function properly [5].”
Clemmons, B. A., Campbell, M. A., Schneider, L. G., Grant, R. J., Dann, H. M., Krawczel, P. D., & Myer, P. R. (2020) · PeerJ · doi:10.7717/peerj.9079 · Cited by 7
Li, R. W. (2015) · Springer eBooks · doi:10.1007/978-81-322-2401-3_16 · Cited by 7
Tsuchiya, Y., Chiba, E., Sugino, T., Kawashima, K., Hasunuma, T., Kushibiki, S., Kim, Y., & Sato, S. (2020) · Journal of Dairy Science · doi:10.3168/jds.2019-17546 · Cited by 6
RetractedLactic Acid Bacteria in Animal Production and Health
Bouchard, D. S., Even, S., & Loir, Y. L. (2015) · Wiley eBooks · doi:10.1002/9781118868386.ch9 · Cited by 7
Skarlupka, J. H., Cox, M. S., Steinberger, A. J., Sbardellati, D. L., McClure, J. C., Bickhart, D. M., Scheftgen, A. J., Zúñiga-Chaves, I., Wolfe, L. A., Paget, E., et al. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1466375 · Cited by 5
Lavrentyeva, E., Геннадьевна, Б. Т., Kozyreva, L. A., Danilova, E., Цыренова, Д. Д., Борисович, Д. В., Buryukhaev, S. P., Abidueva, E. Y., Begmatov, S., Mardanov, A. V., et al. (2024) · Diversity · doi:10.3390/d16010052 · Cited by 5
Zhang, M., Liu, Z., Wu, K., Zhang, C., Fu, T., Sun, Y., Gao, T., & Han, L. (2024) · Animals · doi:10.3390/ani14172614 · Cited by 5
Zhang, C., Yu, Y., Yue, L., Chen, Y., Chen, Y., Liu, Y., Guo, C., Su, Q., & Xiang, Z. (2025) · Communications Biology · doi:10.1038/s42003-025-07538-6 · Cited by 7
Miccoli, F. E., Pérez, C. D., Vargas‐Bello‐Pérez, E., Danelón, J. L., Cantet, J. M., Martínez-Vilchis, R., Bargo, F., Colombatto, D., & Palladino, R. A. (2022) · Small Ruminant Research · doi:10.1016/j.smallrumres.2022.106640 · Cited by 5
Gao, K., & Geng, C. (2022) · Animal Bioscience · doi:10.5713/ab.22.0215 · Cited by 5
“Furthermore, increased relative abundance of Firmicutes enhanced energy harvesting in bovine and played a crucial role in increasing fat deposition in cows and feed efficiency in steers [41,42].”
BackgroundRumen microbial genomics: from cells to genes (and back to cells)
Popova, M., Fakih, I., Forano, É., Siegel, A., Muñoz‐Tamayo, R., & Morgavi, D. (2022) · CABI Reviews · doi:10.1079/cabireviews202217025 · Cited by 6
Bren, A., Denisenko, Y., Prazdnova, E. V., Mazanko, M. S., Gorovtsov, A. V., Chistyakov, V. A., Пахомов, В. И., Rudoy, D. V., & Olshevskaya, A. V. (2023) · Agriculture · doi:10.3390/agriculture13030523 · Cited by 6
Yao, H., Mo, Q., Wu, H. Y., & Zhao, D. (2023) · PeerJ · doi:10.7717/peerj.14897 · Cited by 5
Multi-omics in vitro study of the salivary modulation of the goat rumen microbiome
Palma‐Hidalgo, J. M., Belanche, A., Jiménez, E., Martín-García, A. I., Newbold, C. J., Denman, S. E., & Yáñez-Ruíz, D. R. (2023) · animal · doi:10.1016/j.animal.2023.100895 · Cited by 6
Effects of Diet on Human Gut Microbiome and Subsequent Influence on Host Physiology and Metabolism
Rackerby, B., Grift, D. V. D., Kim, J. H., & Park, S. H. (2020) · Springer eBooks · doi:10.1007/978-3-030-47384-6_3 · Cited by 3
Carmichael, M. N., Dycus, M. M., Lourenco, J. M., Welch, C. B., Davis, D. B., Krause, T., Rothrock, M. J., Fluharty, F. L., Pringle, T. D., & Callaway, T. R. (2024) · Microorganisms · doi:10.3390/microorganisms12030536 · Cited by 6
“Changes in ruminal microbial communities have been associated with feed efficiency differences in beef cattle [15,59,60].”
BackgroundWang, H., Zhan, J., Jiang, H., Jia, H., Yue, P., Zhong, X., Huo, J., & Zhao, S. (2024) · Animals · doi:10.3390/ani14152256 · Cited by 5
“Studies have shown that Prevotellaceae produce mainly acetate and succinate [74] and are negatively correlated with growth rates [75] and production performance [76,77] in ruminants.”
BackgroundResultIntegrated metagenomics and metabolomics analyses revealed biomarkers in β-casein A2A2-type cows
Zhao, J., Wang, C., Hu, J., Ma, R., Yu, B., Zhao, W., Wang, H., Gu, Y., & Zhang, J. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1438717 · Cited by 4
Alawneh, J. I., Olchowy, T. W. J., Hassan, M. M., Allavena, R., Soust, M., & Jassim, R. A. M. A. (2024) · JDS Communications · doi:10.3168/jdsc.2024-0620 · Cited by 4
“Prevotella7 has also been implicated in modulating the immune response and inflammatory processes within the GIT, potentially influencing GIT morphology and function (Jami et al., 2014).”
Huang, Q., Du, D., Guo, J., Liu, J., & Sun, P. (2026) · Microbiome · doi:10.1186/s40168-026-02363-3 · Cited by 5
Large-Scale Phenotyping and Genotyping: State of the Art and Emerging Challenges
Berry, D. P. (2023) · Smart animal production · doi:10.1007/978-3-031-22584-0_5 · Cited by 4
Influence of dietary oils rich in omega-6 or omega-3 fatty acids on rumen microbiome of dairy cows
Cancino‐Padilla, N., Gajardo, F., Neves, A. L. A., KHOLIF, A. E., Mele, M. L., Huws, S., Loor, J. J., Romero, J., & Vargas‐Bello‐Pérez, E. (2023) · Translational Animal Science · doi:10.1093/tas/txad074 · Cited by 4
“The ratio of Firmicutes to Bacteroidetes has been correlated with milk fat yield (Jami et al., 2014).”
BackgroundVasco, K. A., Hansen, Z. A., Schilmiller, A. L., Bowcutt, B., Carbonell, S. L., Ruegg, P. L., Quinn, R. A., Zhang, L., & Manning, S. D. (2024) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2024.1364637 · Cited by 4
“The presence of Bi fi dobacterium , for example, has been linked to higher milk-fat yields (Jami et al., 2014), while genus Prevotella (phylum Bacteroidetes) has been connected to metabolic pathways integral to protein and fat content in milk as well as the production of volatile fatty acids (Wu et…”
BackgroundWang, W., Ma, S., Wang, D., Xu, L., Zhang, M., Yan, M., Ma, K., Hu, Z., Shang, Y., Wei, J., et al. (2025) · Microorganisms · doi:10.3390/microorganisms13020448 · Cited by 4
“A previous study revealed negative correlations between two microorganisms, Crococcus and Ruminobacter, and milk yield and milk quality, which is in agreement with the findings of the present study [48].”
Viso, N. P., Redondo, E. A., Redondo, L. M., Carrasco, J. M. D., Farber, M. D., & Fernández-Miyakawa, M. E. (2025) · Poultry Science · doi:10.1016/j.psj.2025.105260 · Cited by 4
“The Firmicutes/Bacteroidetes ratio in the gut microbiota has been linked to energy efficiency in animals, including mice, pigs, cows, and humans (Jami et al., 2014; Turnbaugh et al., 2006; Zhao et al., 2015).”
Min, B. R., Lourençon, R. V., Nagaraju, I., Pitta, D., Ismael, H., Abdo, H., Chaudhary, S., Hilaire, M., Kanyi, V., Solaiman, S. G., et al. (2025) · Journal of Animal Science · doi:10.1093/jas/skaf260 · Cited by 4
The Role of Feed Additives in Enhancing Ruminant Performance and Sustainability
Serbester, U. (2025) · Veterinary medicine and science · doi:10.5772/intechopen.1010868 · Cited by 4
Xie, H., Zeng, F., Guo, Y., Peng, L., Luo, X., & Yang, C. (2023) · Microorganisms · doi:10.3390/microorganisms11081981 · Cited by 4
Yen, Y., Weisbjerg, M. R., Abdelhafiz, Y. A., Bauer, S. L. M., Kiron, V., & Novoa-Garrido, M. (2024) · animal · doi:10.1016/j.animal.2024.101274 · Cited by 4
Effects of Artemisia argyi Aqueous Extract on Rumen Fermentation Parameters and Microbiota in Lambs
Gao, R., Du, J., Gang, G., Jin, X., Xing, Y., Xu, Y., Hong, L., Yan, S., & Shi, B. (2025) · Fermentation · doi:10.3390/fermentation11020053 · Cited by 4
Comparative Assessment of Rumen Microbial Diversity in Cattle and Buffaloes
Malik, P. K., Trivedi, S., Kolte, A. P., Sejian, V., Mech, A., Biswas, S., Bhattar, A. V. K., Mohapatra, A., & Bhatta, R. (2021) · Springer eBooks · doi:10.1007/978-981-16-9836-1_19 · Cited by 4
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