Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle
Open accessAbstract
Methane produced from 35 Aberdeen-Angus and 33 Limousin cross steers was measured in respiration chambers. Each group was split to receive either a medium- or high-concentrate diet. Ruminal digesta samples were subsequently removed to investigate correlations between methane emissions and the rumen microbial community, as measured by qPCR of 16S or 18S rRNA genes. Diet had the greatest influence on methane emissions. The high-concentrate diet resulted in lower methane emissions (P < 0.001) than the medium-concentrate diet. Methane was correlated, irrespective of breed, with the abundance of archaea (R = 0.39), bacteria (-0.47), protozoa (0.45), Bacteroidetes (-0.37) and Clostridium Cluster XIVa (-0.35). The archaea:bacteria ratio provided a stronger correlation (0.49). A similar correlation was found with digesta samples taken 2-3 weeks later at slaughter. This finding could help enable greenhouse gas emissions of large animal cohorts to be predicted from samples taken conveniently in the abattoir.
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Several studies revealed a strong correlation between CH4 yields and archaea:bacteria ratio.
“Several studies revealed a strong correlation between CH4 yields and archaea: bacteria ratio (Wallace et al., 2014), and a similar finding was found in the present study.”
From Comparative Analysis of the Microbiota Between Sheep Rumen and Rabbit Cecum Provides New Insight Into Their Differential Methane Production (2018) · cites this paper as Wallace et al., 2014
The Results report a correlation between methane emissions and the archaea:bacteria ratio, and the Discussion calls it strong within the high-concentrate diet. The paper reports no significant correlation for the medium-concentrate diet. It is one study of methane emissions in beef steers, not evidence that several studies found a strong correlation with CH4 yield. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThe ratio of bacteria:archaea reflects methane output from the animal, with positive correlations reported in a few studies, but results are not consistent.
“It has been suggested also that the ratio of bacteria:archaea reflects methane output from the animal with positive correlations reported in a few studies (Wallace et al., 2014; Auffret et al., 2017b), but results are not consistent (Tapio et al., 2017).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Wallace et al., 2014
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Cites
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,770 · see citing works
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891 · see citing works
THE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE
Shine, K. P. (1990) · Weather · doi:10.1002/j.1477-8696.1990.tb05660.x · Cited by 5,458 · see citing works
Johnson, K. A., & Johnson, D. E. (1995) · Journal of Animal Science · doi:10.2527/1995.7382483x · Cited by 2,714 · see citing works
Methanogenic archaea: ecologically relevant differences in energy conservation
Thauer, R. K., Kaster, A.-K., Seedorf, H., Buckel, W., & Hedderich, R. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1931 · Cited by 2,184 · see citing works
Improved extraction of PCR-quality community DNA from digesta and fecal samples
Yu, Z., & Morrison, M. D. (2004) · BioTechniques · doi:10.2144/04365st04 · Cited by 1,668 · see citing works
Methane mitigation in ruminants: from microbe to the farm scale
Martin, C., Morgavi, D. P., & Doreau, M. (2009) · animal · doi:10.1017/s1751731109990620 · Cited by 887 · see citing works
Ramirez-Farias, C., Slezak, K., Fuller, Z., Duncan, A., Holtrop, G., & Louis, P. (2008) · British Journal of Nutrition · doi:10.1017/s0007114508019880 · Cited by 822 · see citing works
Stewart, C. S., Flint, H. J., & Bryant, M. P. (1997) · The Rumen Microbial Ecosystem · doi:10.1007/978-94-009-1453-7_2 · Cited by 772 · see citing works
Brulc, J. M., Antonopoulos, D. A., Miller, M. E. B., Wilson, M. K., Yannarell, A. C., Dinsdale, E. A., Edwards, R. E., Frank, E. D., Emerson, J., Wacklin, P., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806191105 · Cited by 757 · see citing works
Microbial ecosystem and methanogenesis in ruminants
Morgavi, D. P., Forano, E., Martin, C., & Newbold, C. J. (2010) · animal · doi:10.1017/s1751731110000546 · Cited by 694 · see citing works
Williams, A. G., & Coleman, G. S. (1991) · Cited by 675 · see citing works
Structure of the Archaeal Community of the Rumen
Janssen, P. H., & Kirs, M. (2008) · Applied and Environmental Microbiology · doi:10.1128/aem.02812-07 · Cited by 655 · see citing works
Denman, S. E., Tomkins, N. W., & McSweeney, C. S. (2007) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.2007.00394.x · Cited by 503 · see citing works
Walters, W. A., Caporaso, J. G., Lauber, C. L., Berg-Lyons, D., Fierer, N., & Knight, R. D. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr087 · Cited by 389 · see citing works
Development of an Assay to Quantify Rumen Ciliate Protozoal Biomass in Cows Using Real-Time PCR
Sylvester, J. T., Karnati, S. K. R., Yu, Z., Morrison, M., & Firkins, J. L. (2004) · Journal of Nutrition · doi:10.1093/jn/134.12.3378 · Cited by 386 · see citing works
Kittelmann, S., Seedorf, H., Walters, W. A., Clemente, J. C., Knight, R. D., Gordon, J. I., & Janssen, P. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0047879 · Cited by 384 · see citing works
Methylotrophic methanogenic Thermoplasmata implicated in reduced methane emissions from bovine rumen
Poulsen, M., Schwab, C., Borg Jensen, B., Engberg, R. M., Spang, A., Canibe, N., Højberg, O., Milinovich, G., Fragner, L., Schleper, C., et al. (2013) · Nature Communications · doi:10.1038/ncomms2432 · Cited by 361 · see citing works
Paul, K., Nonoh, J. O., Mikulski, L., & Brune, A. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.02193-12 · Cited by 346 · see citing works
Ruminant enteric methane mitigation: a review
Cottle, D., Nolan, J. V., & Wiedemann, S. G. (2011) · Animal Production Science · doi:10.1071/an10163 · Cited by 343 · see citing works
Leahy, S. C., Kelly, W. J., Altermann, E., Ronimus, R. S., Yeoman, C. J., Pacheco, D. M., Li, D., Kong, Z., McTavish, S. M., Sang, C., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008926 · Cited by 318 · see citing works
Williams, A. G., & Coleman, G. S. (1992) · Brock/Springer series in contemporary bioscience · doi:10.1007/978-1-4612-2776-2 · Cited by 304 · see citing works
Weimer, P. J., Stevenson, D. M., Mantovani, H. C., & Man, S. L. C. (2010) · Journal of Dairy Science · doi:10.3168/jds.2010-3500 · Cited by 267 · see citing works
de Haas, Y., WINDIG, J. J., Calus, M. P. L., Dijkstra, J., de Haan, M., Bannink, A., & Veerkamp, R. F. (2011) · Journal of Dairy Science · doi:10.3168/jds.2011-4439 · Cited by 242 · see citing works
16S rDNA library-based analysis of ruminal bacterial diversity
Edwards, J. E., McEwan, N. R., Travis, A. J., & Wallace, R. J. (2004) · Antonie van Leeuwenhoek · doi:10.1023/b:anto.0000047942.69033.24 · Cited by 231 · see citing works
Self-citationZhou, M., Hernandez‐Sanabria, E., & Guan, L. L. (2010) · Applied and Environmental Microbiology · doi:10.1128/aem.00010-10 · Cited by 179 · see citing works
Hook, S. E., Northwood, K. S., Wright, A.-D. G., & McBride, B. W. (2008) · Applied and Environmental Microbiology · doi:10.1128/aem.01672-08 · Cited by 158 · see citing works
Novel Rumen Bacterial Diversity in Two Geographically Separated Sub-Species of Reindeer
Sundset, M. A., Præsteng, K. E., Cann, I., Mathiesen, S. D., & Mackie, R. I. (2007) · Microbial Ecology · doi:10.1007/s00248-007-9254-x · Cited by 131 · see citing works
Effect of coconut oil and defaunation treatment on methanogenesis in sheep
Machmüller, A., Soliva, C. R., & Kreuzer, M. (2003) · annales de biologie animale biochimie biophysique · doi:10.1051/rnd:2003005 · Cited by 126 · see citing works
Rooke, J. A., Wallace, R. J., Duthie, C.-A., McKain, N., de Souza, S. M., Hyslop, J. J., Ross, D. W., Waterhouse, A., & Roehe, R. (2014) · British Journal Of Nutrition · doi:10.1017/s0007114514000932 · Cited by 112 · see citing works
Self-citationKnight, T. W., Ronimus, R. S., Dey, D., Tootill, C. M., Naylor, G. E., Evans, P. N., Molano, G., Smith, A. H., Tavendale, M. H., Pinares-Patiño, C. S., et al. (2011) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2011.04.059 · Cited by 87 · see citing works
Popova, M., Martin, C., Eugène, M., Mialon, M., Doreau, M., & Morgavi, D. P. (2011) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2011.04.060 · Cited by 79 · see citing works
Fuller, Z., Louis, P., Mihajlovski, A., Rungapamestry, V., Ratcliffe, B., & Duncan, A. J. (2007) · British Journal Of Nutrition · doi:10.1017/s0007114507709091 · Cited by 70 · see citing works
Tymensen, L. D., & McAllister, T. A. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.07994-11 · Cited by 39 · see citing works
The persistence over time of divergent methane production in lot fed cattle
Goopy, J. P., Hegarty, R. S., & Dobos, R. C. (2006) · International Congress Series · doi:10.1016/j.ics.2006.02.019 · Cited by 10 · see citing works
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Huws, S. A., Creevey, C. J., Oyama, L. B., Mizrahi, I., Denman, S. E., Popova, M., Muñoz-Tamayo, R., Forano, E., Waters, S. M., Hess, M., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02161 · Cited by 487 · see citing works
Self-citationMatthews, C., Crispie, F., Lewis, E., Reid, M., O’Toole, P. W., & Cotter, P. D. (2018) · Gut Microbes · doi:10.1080/19490976.2018.1505176 · Cited by 466 · see citing works
The rumen microbial metagenome associated with high methane production in cattle
Wallace, R. J., Rooke, J. A., McKain, N., Duthie, C.-A., Hyslop, J. J., Ross, D. W., Waterhouse, A., Watson, M., & Roehe, R. (2015) · BMC Genomics · doi:10.1186/s12864-015-2032-0 · Cited by 416 · see citing works
Self-citationThe ruminal microbiome associated with methane emissions from ruminant livestock
Tapio, I., Snelling, T. J., Strozzi, F., & Wallace, R. J. (2017) · Journal of Animal Science and Biotechnology · doi:10.1186/s40104-017-0141-0 · Cited by 391 · see citing works
Self-citationRoehe, R., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., McKain, N., Ross, D. W., Hyslop, J. J., Waterhouse, A., Freeman, T. C., Watson, M., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005846 · Cited by 359 · see citing works
Self-citationDanielsson, R., Dicksved, J., Sun, L., Gonda, H. L., Müller, B., Schnürer, A., & Bertilsson, J. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00226 · Cited by 317 · see citing works
Review: Ruminal microbiome and microbial metabolome: effects of diet and ruminant host
Newbold, C. J., & Ramos‐Morales, E. (2020) · animal · doi:10.1017/s1751731119003252 · Cited by 279 · see citing works
Auffret, M. D., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., Wallace, R. J., Freeman, T. C., Stewart, R., Watson, M., & Roehe, R. (2017) · Microbiome · doi:10.1186/s40168-017-0378-z · Cited by 215 · see citing works
Self-citationNegussie, E., de Haas, Y., Dehareng, F., Dewhurst, R. J., Dijkstra, J., Gengler, N., Morgavi, D. P., Soyeurt, H., van Gastelen, S., Yan, T., et al. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12030 · Cited by 174 · see citing works
A meta-analysis of the bovine gastrointestinal tract microbiota
Holman, D. B., & Gzyl, K. E. (2019) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiz072 · Cited by 166 · see citing works
Min, B. R., Solaiman, S., Waldrip, H. M., Parker, D., Todd, R. W., & Brauer, D. (2020) · Animal nutrition · doi:10.1016/j.aninu.2020.05.002 · Cited by 159 · see citing works
Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle
Løvendahl, P., Difford, G. F., Li, B., Chagunda, M. G. G., Huhtanen, P. J., Lidauer, M., Lassen, J., & Lund, P. (2018) · animal · doi:10.1017/s1751731118002276 · Cited by 157 · see citing works
Stronger warming effects on microbial abundances in colder regions
Chen, J., Luo, Y., Xia, J., Jiang, L., Zhou, X., Lu, M., Liang, J., Shi, Z., Shelton, S. K., & Cao, J. (2015) · Scientific Reports · doi:10.1038/srep18032 · Cited by 144 · see citing works
Oral Samples as non-invasive proxies for assessing the composition of the rumen microbial community
Tapio, I., Shingfield, K. J., McKain, N., Bonin, A., Fischer, D., Bayat, A. R., Vilkki, J., Taberlet, P., Snelling, T. J., & Wallace, R. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151220 · Cited by 125 · see citing works
Self-citationBovine host genome acts on rumen microbiome function linked to methane emissions
Martínez-Álvaro, M., Auffret, M. D., Duthie, C.-A., Dewhurst, R. J., Cleveland, M. A., Watson, M., & Roehe, R. (2022) · Communications Biology · doi:10.1038/s42003-022-03293-0 · Cited by 113 · see citing works
Self-citationBickhart, D. M., & Weimer, P. J. (2017) · Journal of Dairy Science · doi:10.3168/jds.2017-13328 · Cited by 105 · see citing works
Belanche, A., Pinloche, E., Preskett, D., & Newbold, C. J. (2015) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiv160 · Cited by 102 · see citing works
Martínez-Álvaro, M., Auffret, M. D., Stewart, R. D., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., Wallace, R. J., Shih, B. B.-J., Freeman, T. C., Watson, M., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00659 · Cited by 101 · see citing works
Self-citationVeneman, J. B., Muetzel, S., Hart, K. J., Faulkner, C. L., Moorby, J. M., Perdok, H. B., & Newbold, C. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140282 · Cited by 100 · see citing works
Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen
van Lingen, H. J., Edwards, J. E., Vaidya, J. D., van Gastelen, S., Saccenti, E., van den Bogert, B., Bannink, A., Smidt, H., Plugge, C. M., & Dijkstra, J. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00425 · Cited by 96 · see citing works
Salami, S. A., Valenti, B., Bella, M., O ' Grady, M. N., Luciano, G., Kerry, J. P., Jones, E., Priolo, A., & Newbold, C. J. (2018) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiy061 · Cited by 91 · see citing works
Wang, K., Nan, X., Chu, K., Tong, J., Yang, L., Zheng, S., Zhao, G., Jiang, L., & Xiong, B. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02764 · Cited by 88 · see citing works
Auffret, M. D., Stewart, R., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., Wallace, R. J., Freeman, T. C., Snelling, T. J., Watson, M., & Roehe, R. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.02642 · Cited by 82 · see citing works
Self-citationGranja-Salcedo, Y. T., Fernandes, R. M., de Araújo, R. C., Kishi, L. T., Berchielli, T. T., de Resende, F. D., Berndt, A., & Siqueira, G. R. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00614 · Cited by 80 · see citing works
Meale, S. J., Popova, M., Saro, C., Martin, C., Bernard, A., Lagrée, M., Yáñez-Ruíz, D. R., Boudra, H., Duval, S. M., & Morgavi, D. P. (2021) · Scientific Reports · doi:10.1038/s41598-021-82084-9 · Cited by 78 · see citing works
Belanche, A., Kingston‐Smith, A. H., Griffith, G. W., & Newbold, C. J. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00122 · Cited by 79 · see citing works
Dorantes-Iturbide, G., Orzuna‐Orzuna, J. F., Lara-Bueno, A., Martínez, G. D. M., Miranda‐Romero, L. A., & Lee-Rangel, H. A. (2022) · Veterinary Sciences · doi:10.3390/vetsci9090475 · Cited by 81 · see citing works
Belanche, A., de la Fuente, G., & Newbold, C. J. (2014) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiu026 · Cited by 74 · see citing works
Auffret, M. D., Stewart, R. D., Dewhurst, R. J., Duthie, C.-A., Watson, M., & Roehe, R. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01229 · Cited by 59 · see citing works
Self-citationCunha, C. S., Veloso, C. M., Marcondes, M. I., Mantovani, H. C., Tomich, T. R., Pereira, L. G. R., Ferreira, M. F. L., Dill‐McFarland, K. A., & Suen, G. (2017) · Systematic and Applied Microbiology · doi:10.1016/j.syapm.2017.07.008 · Cited by 53 · see citing works
van Gastelen, S., Visker, M. H. P. W., Edwards, J. E., Fernandes, E. C. A., Hettinga, K. A., Alferink, S. J. J., Hendriks, W. H., Bovenhuis, H., Smidt, H., & Dijkstra, J. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12367 · Cited by 51 · see citing works
Mi, L., Yang, B., Hu, X., Luo, Y., Liu, J., Yu, Z., & Wang, J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00575 · Cited by 50 · see citing works
López-García, A., Saborío‐Montero, A., Gutiérrez‐Rivas, M., Atxaerandio, R., Goiri, I., García-Rodríguez, A., Jiménez-Montero, J. A., González, C., Tamames, J., Puente‐Sánchez, F., et al. (2022) · GigaScience · doi:10.1093/gigascience/giab088 · Cited by 48 · see citing works
McGovern, E., Waters, S. M., Blackshields, G., & McCabe, M. S. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01365 · Cited by 48 · see citing works
The rumen microbial metaproteome as revealed by SDS-PAGE
Snelling, T. J., & Wallace, R. J. (2017) · BMC Microbiology · doi:10.1186/s12866-016-0917-y · Cited by 46 · see citing works
Self-citationMin, B. R., Castleberry, L., Allen, H. K., Parker, D. B., Waldrip, H. M., Bräuer, D., & Willis, W. M. (2019) · Journal of Animal Science · doi:10.1093/jas/skz317 · Cited by 45 · see citing works
The Role of Chitosan as a Possible Agent for Enteric Methane Mitigation in Ruminants
Jiménez‐Ocampo, R., Valencia-Salazar, S. S., Pinzón-Díaz, C. E., Herrera-Torres, E., Aguilar-Pérez, C. F., Arango, J., & Kú-Vera, J. C. (2019) · Animals · doi:10.3390/ani9110942 · Cited by 43 · see citing works
Islam, M., Kim, S., Ramos, S., Mamuad, L. L., Son, A.-R., Yu, Z., Lee, S.-S., Cho, Y.-I., & Lee, S.-S. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.601061 · Cited by 43 · see citing works
Cunha, C. S., Marcondes, M. I., Veloso, C. M., Mantovani, H. C., Pereira, L. G. R., Tomich, T. R., Dill‐McFarland, K. A., & Suen, G. (2018) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.9162 · Cited by 39 · see citing works
Duthie, C.-A., Haskell, M. J., Hyslop, J. J., Waterhouse, A., Wallace, R. J., Roehe, R., & Rooke, J. A. (2017) · animal · doi:10.1017/s1751731117000301 · Cited by 38 · see citing works
Self-citationRamos‐Morales, E., Rossi, G., Cattin, M., Jones, E., Bragança, R., & Newbold, C. J. (2018) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiy009 · Cited by 32 · see citing works
Stergiadis, S., Luna, I. C., Mora-Ortiz, M., Stewart, R. D., Dewhurst, R. J., Humphries, D. J., Watson, M., Roehe, R., & Auffret, M. D. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.590441 · Cited by 31 · see citing works
Self-citationDuarte, A. C., Holman, D. B., Alexander, T. W., Durmic, Z., Vercoe, P. E., & Chaves, A. V. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00704 · Cited by 30 · see citing works
Methyl-coenzyme M reductase A as an indicator to estimate methane production from dairy cows
Aguinaga, M. A., Rangkasenee, N., Krattenmacher, N., Thaller, G. E., Metges, C. C., & Kuhla, B. (2015) · Journal of Dairy Science · doi:10.3168/jds.2015-9310 · Cited by 29 · see citing works
Belanche, A., Kingston‐Smith, A. H., & Newbold, C. J. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00905 · Cited by 28 · see citing works
Eikanger, K. S., Kjær, S. T., Dörsch, P., Iwaasa, A. D., Alemu, A. W., Schei, I., Pope, P. B., Hagen, L. H., & Kidane, A. (2024) · Livestock Science · doi:10.1016/j.livsci.2024.105495 · Cited by 25 · see citing works
Association between residual feed intake and enteric methane emissions in Hereford steers
Dini, Y., Cajarville, C., Gere, J. I., Fernández-Ciganda, S., Fraga, M., Pravia, M. I., Navajas, E. A., & Ciganda, V. (2018) · Translational Animal Science · doi:10.1093/tas/txy111 · Cited by 25 · see citing works
Molina-Botero, I. C., Montoya-Flores, M. D., Zavala-Escalante, L. M., Rosales, R. B., Arango, J., & Kú-Vera, J. C. (2019) · Journal of Animal Science · doi:10.1093/jas/skz067 · Cited by 25 · see citing works
Bharanidharan, R., Lee, C. H., Thirugnanasambantham, K., Ibidhi, R., Woo, Y. W., Lee, H., Kim, J. G., & Kim, K.-H. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.701081 · Cited by 25 · see citing works
Kim, S., Mamuad, L. L., Kim, E. J., Sung, H. G., Bae, G., Cho, K.-K., Lee, C., & Lee, S.-S. (2017) · Italian Journal of Animal Science · doi:10.1080/1828051x.2017.1394170 · Cited by 22 · see citing works
Zhou, J., Xue, B., Hu, A., Yue, S., Wu, M., Hong, Q., Wu, Y., Wang, Z., Wang, L., Peng, Q., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.950587 · Cited by 27 · see citing works
Rangubhet, K. T., Mangwe, M. C., Mlambo, V., Fan, Y.-K., & Chiang, H. (2017) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2017.06.005 · Cited by 21 · see citing works
Wang, K., Nan, X., Tong, J., Zhao, G., Jiang, L., & Xiong, B. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.02027 · Cited by 21 · see citing works
Yang, C., McKain, N., McCartney, C. A., & Wallace, R. J. (2019) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2019.05.012 · Cited by 19 · see citing works
Self-citationMott, A. C., Schneider, D., Hünerberg, M., Hummel, J., & Tetens, J. (2022) · Ruminants · doi:10.3390/ruminants2010007 · Cited by 15 · see citing works
Takizawa, S., Shinkai, T., Kobayashi, Y., Masuda, M., Hashiba, K., Uchisawa, K., & Terada, F. (2023) · Animal Science Journal · doi:10.1111/asj.13829 · Cited by 15 · see citing works
Using microbiome information to understand and improve animal performance
Lourenco, J. M., & Welch, C. B. (2022) · Italian Journal of Animal Science · doi:10.1080/1828051x.2022.2077147 · Cited by 12 · see citing works
Rumen multi-omics addressing diet–host–microbiome interplay in farm animals: a review
Dixit, S., Kumar, S., Sharma, R., Banakar, P. S., Singh, M., Keshri, A., & Tyagi, A. K. (2022) · Animal Biotechnology · doi:10.1080/10495398.2022.2078979 · Cited by 12 · see citing works
Vaidya, J. D., van Gastelen, S., Smidt, H., Plugge, C. M., & Edwards, J. E. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229887 · Cited by 12 · see citing works
Sepulveda, B. J., Muir, S. K., Bolormaa, S., Knight, M. I., Behrendt, R., MacLeod, I. M., Pryce, J. E., & Daetwyler, H. D. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.883520 · Cited by 11 · see citing works
de Souza, M. G., Reis, I. A., de Carvalho, I. P. C., Porcionato, M. A. D. F., Prados, L. F., Granja-Salcedo, Y. T., Siqueira, G. R., & de Resende, F. D. (2022) · Animals · doi:10.3390/ani12243463 · Cited by 11 · see citing works
Vanegas, J. L., González, J., Alvir, M. R., & Carro, M. D. (2017) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2017.04.015 · Cited by 11 · see citing works
Zeitz, J. O., Ineichen, S., Soliva, C. R., Leiber, F., Tschuor, A., Braun, U., Kreuzer, M., & Clauß, M. (2015) · Small Ruminant Research · doi:10.1016/j.smallrumres.2015.12.029 · Cited by 11 · see citing works
Ye, X., Sahana, G., Lund, M. S., & Cai, Z. (2025) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-025-04504-6 · Cited by 9 · see citing works
Wang, S., Pisarcikova, J., Kreuzer, M., & Schwarm, A. (2017) · Canadian Journal of Animal Science · doi:10.1139/cjas-2016-0238 · Cited by 9 · see citing works
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 · see citing works
Manafiazar, G., Fitzsimmons, C., Zhou, M., Basarab, J. A., Baron, V. S., McKeown, L., & Guan, L. L. (2021) · animal · doi:10.1016/j.animal.2021.100304 · Cited by 9 · see citing works
Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis
Daugaliyeva, А., Daugaliyeva, S. T., Ashanin, A., Kanatbayev, S. G., Beltramo, C., & Peletto, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-20732-4 · Cited by 8 · see citing works
Fregulia, P., Dias, R. J. P., Campos, M. M., Tomich, T. R., Pereira, L. G. R., & Neves, A. L. A. (2024) · Molecular Biology Reports · doi:10.1007/s11033-024-09381-0 · Cited by 7 · see citing works
Bata, M., Rahayu, S., & Oktora, M. (2021) · Jurnal Agripet · doi:10.17969/agripet.v21i2.19463 · Cited by 6 · see citing works
Wang, K., Liu, Z., Du, C., Xiong, B., & Yang, L. (2022) · Fermentation · doi:10.3390/fermentation8080406 · Cited by 6 · see citing works
Sandri, M., Licastro, D., Monego, S. D., Sgorlon, S., & Stefanon, B. (2018) · Italian Journal of Animal Science · doi:10.1080/1828051x.2018.1462110 · Cited by 5 · see citing works
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 · see citing works
Woodmartin, S., McGovern, F., Smith, P. E., Boland, T. M., McGrane, L., Monaghan, A., Dunne, E., & Creighton, P. (2025) · Journal of Animal Science · doi:10.1093/jas/skaf139 · Cited by 4 · see citing works
Brouček, J. (2018) · Archivos de Zootecnia · doi:10.21071/az.v67i259.3804 · Cited by 4 · see citing works
BRIEF COMMUNICATION: Genetic control of the rumen microbiome in sheep
Sj, R., Kittelmann, S., Pinares-Patiño, C. S., Gr, W., Kg, D., Mr, K., Ganesh, S., Sm, H., Janssen, P. H., & McEwan, J. C. (2015) · Proceedings of the New Zealand Society of Animal Production · Cited by 4 · see citing works
A network analysis of methane and feed conversion genes in the rumen microbial community
Browne, F., Wang, H., Zheng, H., Roehe, R., Dewhurst, R. J., & Walsh, P. (2016) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2016.7822741 · Cited by 4 · see citing works
Self-citationSandberg, L.-M., Thaller, G. E., Görs, S., Kuhla, B., Metges, C. C., & Krattenmacher, N. (2020) · Archives animal breeding/Archiv für Tierzucht · doi:10.5194/aab-63-211-2020 · Cited by 4 · see citing works
Zhang, Y., Li, F., Chen, Y., & Guan, L. L. (2022) · Animals · doi:10.3390/ani12151966 · Cited by 4 · see citing works
Yulistiani, D., Jelan, Z. A., Liang, J. B., Yaakub, H., Norhani, A. N., & Saputra, F. (2024) · South African Journal of Animal Science · doi:10.4314/sajas.v54i3.04 · Cited by 3 · see citing works
Abdullah, H. M., Mohammed, O. B., Sheikh, A., Almathen, F. S., KHALID, A. M., Bakhiet, A. O., & Abdelrahman, M. M. (2024) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2024.103982 · Cited by 2 · see citing works
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 · see citing works
Self-citationLima, J., McNeilly, T. N., Auffret, M. D., Steele, P. J., Frew, D., Martínez-Álvaro, M., Dewhurst, R. J., Watson, M., & Roehe, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-30604-2 · Cited by 2 · see citing works
Self-citationGimeno, A., Alami, A. A., Yáñez-Ruíz, D. R., de Vega, A., Schauf, S., Fondevila, M., & Castrillo, C. (2015) · The Journal of Agricultural Science · doi:10.1017/s0021859615000969 · Cited by 2 · see citing works
Sun, Y., Li, S., Guo, T., Tong, X., Zhang, Z., Yang, Y., Wang, Q., Li, D., & Li, M. (2025) · Agriculture · doi:10.3390/agriculture15161768 · Cited by 1 · see citing works
Onan-Martinez, D., Bari, M., Olmo, H., Lance, J. M., Toledo, I. M., Tricárico, J. M., & Dahl, G. E. (2025) · JDS Communications · doi:10.3168/jdsc.2025-0865 · Cited by 1 · see citing works
Heat stress impacts productivity and methane emissions in dairy cattle
Onan-Martinez, D., DiLorenzo, N., & Dahl, G. E. (2026) · Frontiers in Animal Science · doi:10.3389/fanim.2026.1787191 · Cited by 1 · see citing works
Interação microbiana e metanogênese em ruminantes – uma revisão
Magaço, F. D. S., & Duarte, E. R. (2019) · Medicina Veterinária (UFRPE) · doi:10.26605/medvet-v13n1-2615 · Cited by 1 · see citing works
Gowtham, H. G., Priyanka, G., & Hariprasad, P. (2022) · Soil biology · doi:10.1007/978-3-030-97291-2_5 · Cited by 1 · see citing works
Rumen microbial system, methanogenesis, and methane mitigation strategies in ruminants
Mir, N. A., & Begum, J. (2022) · Letters In Animal Biology · doi:10.62310/liab.v2i1.73 · Cited by 1 · see citing works
van Lingen, H. J. (2017) · doi:10.18174/411612 · Cited by 1 · see citing works
Genetic control of methane emission, feed efficiency and metagenomics in dairy cattle
Difford, G. F. (2018) · doi:10.18174/458036 · Cited by 1 · see citing works
Predicting methane emission of dairy cows using milk composition
van Gastelen, S. (2017) · doi:10.18174/425382
Hidayat, T., Espinosa, M. E. R., Yan, X., Theodoridou, K., Samadi, S., Peng, Q., Feng, B., Zhang, W., He, J., & Yu, P. (2024) · Veterinary medicine and science · doi:10.5772/intechopen.114219
Mantia, M. C. L., Calì, M., Rossi, E., Zilio, D. M., Santangelo, E., & Chiariotti, A. (2024) · Journal of Buffalo Science · doi:10.6000/1927-520x.2024.13.13
Min, B. R., Chen, R., Gurung, N. K., Solaiman, S. G., Hilaire, M., Ismael, H., Abdo, H., Chaudhary, S., & Abrahamsen, F. W. (2025) · Animal Science Journal · doi:10.1111/asj.70075
Relationship Between Methane Emissions and Intestinal Methanogenic Microbiota in Micro‐Mini Pigs
Hirata, M., Nakashima, E., Suenaga, I., & Morimatsu, F. (2025) · Animal Science Journal · doi:10.1111/asj.70130
Methane emissions in beef cattle: A review of measurements and mitigation strategies
Taiwo, E. T., Silva, G. M., Manafiazar, G., Fitzsimmons, C., & Li, C. (2026) · Veterinary and Animal Science · doi:10.1016/j.vas.2026.100801
Kar, D., Singh, R. K., Sinha, D., Panda, D., Beniwal, P., Kumar, I., Ganguly, I., & Singh, S. (2026) · Journal of Pure and Applied Microbiology · doi:10.22207/jpam.20.3.43
- Authors
- Wallace, R. J., Rooke, J. A., Duthie, C.-A., Hyslop, J. J., Ross, D. W., McKain, N., de Souza, S. M., Snelling, T. J., Waterhouse, A., & Roehe, R.
- Affiliations
- University of Aberdeen (GB)
- Scotland's Rural College (GB)
- Corresponding author
- Wallace, R. John
- Venue
- Scientific Reports
- Published
- 2014-07-31
- Volume
- 4
- Issue
- 1
- Pages
- 5892-5892
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5376199
- OpenAlex
- W2103161395
- Cited by
- 100
- References
- 35
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 7 · 2023: 1 · 2022: 15 · 2021: 6 · 2020: 8 · 2019: 8 · 2018: 14 · 2017: 17 · 2016: 4 · 2015: 8 · 2014: 1
- FWCI
- 19.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Scientific Reports (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion, cc-by-nc-nd)
- Funders
- Rural and Environment Science and Analytical Services Division
- Scottish Government
- Department for Environment, Food and Rural Affairs, UK Government
- Scotland’s Rural College
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Physical Sciences › Engineering › Building and Construction › Anaerobic Digestion and Biogas Production
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Keywords
- archaea, ruminal digesta, enteric methane, beef cattle, rumen microbiota, concentrate diet, Angus cattle, Limousin, Bacteroidetes, Clostridium cluster XIVa, rumen protozoa
- MeSH terms
- Animals, Archaea, Cattle, Male, Methane, RNA, Ribosomal, 16S, Rumen, Greenhouse Effect, RNA, Archaeal, Bacteroidetes, Molecular Typing, Microbiota
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