{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T07:40:48Z","timestamp":1792654848765,"version":"4.5.0"},"reference-count":55,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T00:00:00Z","timestamp":1792627200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T00:00:00Z","timestamp":1792627200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/doi.org\/10.1080\/policies-text-data-mining"}],"funder":[{"name":"National Key R&D Program of China","award":["2022YFE0130100"],"award-info":[{"award-number":["2022YFE0130100"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32460812, 32160776"],"award-info":[{"award-number":["32460812, 32160776"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science and Technology Innovation 2030 - Major Project","award":["2023ZD0404803-02"],"award-info":[{"award-number":["2023ZD0404803-02"]}]},{"name":"the earmarked fund for CARS","award":["CARS-36"],"award-info":[{"award-number":["CARS-36"]}]},{"name":"\u2018Light of the West\u2019 Talent Cultivation Program of the Chinese Academy of Sciences","award":["XAB2022YW11"],"award-info":[{"award-number":["XAB2022YW11"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Animal Biotechnology"],"published-print":{"date-parts":[[2027,12,31]]},"DOI":"10.1080\/10495398.2026.2743468","type":"journal-article","created":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T07:10:28Z","timestamp":1792653028000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":0,"title":["Effects of xylooligosaccharide supplementation on methane emissions, rumen microbiome, and serum metabolome in lactating Jersey cows"],"prefix":"10.1080","volume":"38","author":[{"given":"Xiaonan","family":"Zhou","sequence":"first","affiliation":[{"name":"College of Animal Science and Technology, Ningxia University, Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia University","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Yinchuan Animal Husbandry Technical Extension and Service Center","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Animal Science and Technology, Ningxia University, Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia University","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiyu","family":"Diao","sequence":"additional","affiliation":[{"name":"Feed Research Institute, Chinese Academy of Agricultural Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lifeng","family":"Dong","sequence":"additional","affiliation":[{"name":"Feed Research Institute, Chinese Academy of Agricultural Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolong","family":"Kang","sequence":"additional","affiliation":[{"name":"College of Animal Science and Technology, Ningxia University, Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia University","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2026,10,22]]},"reference":[{"issue":"2","key":"e_1_3_5_2_1","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1038\/s41560-018-0100-9","article-title":"Towards methane targets","volume":"3","author":"Gallagher J.","year":"2018","unstructured":"Gallagher J. Towards methane targets. Nat Energy. 2018;3(2):86\u201386.","journal-title":"Nat Energy"},{"key":"e_1_3_5_3_1","doi-asserted-by":"crossref","first-page":"435","DOI":"10.3390\/ani14030435","article-title":"Advances in methane emission estimation in livestock: a review of data collection methods, model development and the role of AI technologies","volume":"14","author":"Nejad JG","year":"2024","unstructured":"Nejad JG, Ju MS, Jo JH, et al. Advances in methane emission estimation in livestock: a review of data collection methods, model development and the role of AI technologies. Animals-Basel. 2024;14:435.","journal-title":"Animals-Basel."},{"key":"e_1_3_5_4_1","doi-asserted-by":"crossref","first-page":"e2111294119","DOI":"10.1073\/pnas.2111294119","article-title":"Full adoption of the most effective strategies to mitigate methane emissions by ruminants can help meet the 1.5\u2009\u00b0C target by 2030 but not 2050","volume":"119","author":"Arndt C","year":"2022","unstructured":"Arndt C, Hristov AN, Price WJ, et al. Full adoption of the most effective strategies to mitigate methane emissions by ruminants can help meet the 1.5\u2009\u00b0C target by 2030 but not 2050. P Natl Acad Sci USA. 2022;119:e2111294119.","journal-title":"P Natl Acad Sci USA."},{"issue":"1","key":"e_1_3_5_5_1","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.tibtech.2015.10.004","article-title":"Measuring Methane Production from Ruminants","volume":"34","author":"Hill J","year":"2016","unstructured":"Hill J, McSweeney C, Wright A-DG, Bishop-Hurley G, Kalantar-Zadeh K. Measuring Methane Production from Ruminants. Trends Biotechnol. 2016;34(1):26\u201335.","journal-title":"Trends Biotechnol"},{"issue":"8","key":"e_1_3_5_6_1","doi-asserted-by":"crossref","first-page":"1611","DOI":"10.3390\/microorganisms10081611","article-title":"Biogeotechnology, biocorrosion, and remediation-three areas of modern applied environmental microbiology","volume":"10","author":"Vainshtein M","year":"2022","unstructured":"Vainshtein M, Abashina T. Biogeotechnology, biocorrosion, and remediation-three areas of modern applied environmental microbiology. Microorganisms. 2022;10(8):1611.","journal-title":"Microorganisms"},{"key":"e_1_3_5_7_1","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1196\/annals.1419.019","article-title":"Metabolic, phylogenetic, and ecological diversity of the methanogenic archaea","volume":"1125","author":"Liu Y","year":"2008","unstructured":"Liu Y, Whitman WB. Metabolic, phylogenetic, and ecological diversity of the methanogenic archaea. Ann N Y Acad Sci. 2008;1125:171\u2013189.","journal-title":"Ann N Y Acad Sci"},{"issue":"3","key":"e_1_3_5_8_1","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1093\/jas\/skad281.164","article-title":"Methane and carbon dioxide emissions from crossbred beef cattle fall-grazed on native aspen parkland pastures","volume":"101","author":"Behrouzi A","year":"2023","unstructured":"Behrouzi A, Ewasiuk M, Bork E, Basarab JA, Fitzsimmons CJ. Methane and carbon dioxide emissions from crossbred beef cattle fall-grazed on native aspen parkland pastures. J Anim Sci. 2023;101(Suppl 3):134\u2013135.","journal-title":"J Anim Sci."},{"key":"e_1_3_5_9_1","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1186\/s40104-024-00991-z","article-title":"Dietary xylo-oligosaccharides and arabinoxylans improved growth efficiency by reducing gut epithelial cell turnover in broiler chickens","volume":"15","author":"Castro C","year":"2024","unstructured":"Castro C, Niknafs S, Gonzalez-Ortiz G, Tan XL, Bedford MR, Roura E. Dietary xylo-oligosaccharides and arabinoxylans improved growth efficiency by reducing gut epithelial cell turnover in broiler chickens. J Anim Sci Biotechno. 2024;15:35.","journal-title":"J Anim Sci Biotechno."},{"issue":"1","key":"e_1_3_5_10_1","doi-asserted-by":"crossref","first-page":"11594","DOI":"10.1038\/s41598-022-15963-4","article-title":"Supplementation of xylo-oligosaccharides to suckling piglets promotes the growth of fiber-degrading gut bacterial populations during the lactation and nursery periods","volume":"12","author":"Gonz\u00e1lez-Sol\u00e9 F","year":"2022","unstructured":"Gonz\u00e1lez-Sol\u00e9 F, Sol\u00e0-Oriol D, Ramayo-Caldas Y, et al. Supplementation of xylo-oligosaccharides to suckling piglets promotes the growth of fiber-degrading gut bacterial populations during the lactation and nursery periods. Sci Rep. 2022;12(1):11594.","journal-title":"Sci Rep"},{"issue":"12","key":"e_1_3_5_11_1","doi-asserted-by":"crossref","first-page":"4654","DOI":"10.1039\/D5FO00169B","article-title":"A review of the capacity of xylooligosaccharides to modulate gut microbiota and promote health","volume":"16","author":"Nogueira-Prieto NM","year":"2025","unstructured":"Nogueira-Prieto NM, Ans\u00edn-Vallejo C, Becerra-Fern\u00e1ndez M, Gonz\u00e1lez-Siso MI. A review of the capacity of xylooligosaccharides to modulate gut microbiota and promote health. Food Funct. 2025;16(12):4654\u20134672.","journal-title":"Food Funct"},{"key":"e_1_3_5_12_1","doi-asserted-by":"crossref","first-page":"120711","DOI":"10.1016\/j.watres.2023.120711","article-title":"Microbiome re-assembly boosts anaerobic digestion under volatile fatty acid inhibition: focusing on reactive oxygen species metabolism","volume":"246","author":"Yan M","year":"2023","unstructured":"Yan M, Hu ZY, Duan ZH, et al. Microbiome re-assembly boosts anaerobic digestion under volatile fatty acid inhibition: focusing on reactive oxygen species metabolism. Water Res. 2023;246:120711.","journal-title":"Water Res"},{"key":"e_1_3_5_13_1","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1186\/s40104-023-00873-w","article-title":"Dietary supplementation with xylooligosaccharides and exogenous enzyme improves milk production, energy utilization efficiency and reduces enteric methane emissions of Jersey cows","volume":"14","author":"Dong LF","year":"2023","unstructured":"Dong LF, Zhao L, Li BW, et al. Dietary supplementation with xylooligosaccharides and exogenous enzyme improves milk production, energy utilization efficiency and reduces enteric methane emissions of Jersey cows. J Anim Sci Biotechno. 2023;14:71.","journal-title":"J Anim Sci Biotechno."},{"key":"e_1_3_5_14_1","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.biortech.2012.06.055","article-title":"A real explosion: the requirement of steam explosion pretreatment","volume":"121","author":"Yu ZD","year":"2012","unstructured":"Yu ZD, Zhang BL, Yu FQ, Xu GZ, Song AD. A real explosion: the requirement of steam explosion pretreatment. Bioresour Technol. 2012;121:335\u2013341.","journal-title":"Bioresour Technol"},{"key":"e_1_3_5_15_1","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1186\/s40104-022-00721-3","article-title":"Characterization and mitigation option of greenhouse gas emissions from lactating Holstein dairy cows in East China","volume":"13","author":"Jia P","year":"2022","unstructured":"Jia P, Tu Y, Liu ZH, et al. Characterization and mitigation option of greenhouse gas emissions from lactating Holstein dairy cows in East China. J Anim Sci Biotechno. 2022;13:88.","journal-title":"J Anim Sci Biotechno."},{"issue":"1","key":"e_1_3_5_16_1","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1038\/nmeth.2276","article-title":"Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing","volume":"10","author":"Bokulich NA","year":"2013","unstructured":"Bokulich NA, Subramanian S, Faith JJ, et al. Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat Methods. 2013;10(1):57\u201359.","journal-title":"Nat Methods"},{"issue":"5","key":"e_1_3_5_17_1","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1038\/nmeth.f.303","article-title":"QIIME allows analysis of high-throughput community sequencing data","volume":"7","author":"Caporaso JG","year":"2010","unstructured":"Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7(5):335\u2013336.","journal-title":"Nat Methods"},{"key":"e_1_3_5_18_1","doi-asserted-by":"crossref","first-page":"e2584","DOI":"10.7717\/peerj.2584","article-title":"VSEARCH: a versatile open source tool for metagenomics","volume":"4","author":"Rognes T","year":"2016","unstructured":"Rognes T, Flouri T, Nichols B, Quince C, Mah\u00e9 F. VSEARCH: a versatile open source tool for metagenomics. PeerJ. 2016;4:e2584.","journal-title":"PeerJ"},{"issue":"3","key":"e_1_3_5_19_1","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1101\/gr.112730.110","article-title":"Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons","volume":"21","author":"Haas BJ","year":"2011","unstructured":"Haas BJ, Gevers D, Earl AM, et al. Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. Genome Res. 2011;21(3):494\u2013504.","journal-title":"Genome Res"},{"issue":"10","key":"e_1_3_5_20_1","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1038\/nmeth.2604","article-title":"UPARSE: highly accurate OTU sequences from microbial amplicon reads","volume":"10","author":"Edgar RC.","year":"2013","unstructured":"Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods. 2013;10(10):996\u2013998.","journal-title":"Nat Methods"},{"key":"e_1_3_5_21_1","doi-asserted-by":"crossref","first-page":"D590","DOI":"10.1093\/nar\/gks1219","article-title":"The SILVA ribosomal RNA gene database project: improved data processing and web-based tools","volume":"41","author":"Quast C","year":"2013","unstructured":"Quast C, Pruesse E, Yilmaz P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41:D590\u2013D596.","journal-title":"Nucleic Acids Res"},{"issue":"16","key":"e_1_3_5_22_1","doi-asserted-by":"crossref","first-page":"5261","DOI":"10.1128\/AEM.00062-07","article-title":"Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy","volume":"73","author":"Wang Q","year":"2007","unstructured":"Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007;73(16):5261\u20135267.","journal-title":"Appl Environ Microbiol"},{"issue":"3","key":"e_1_3_5_23_1","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1038\/s43016-021-00225-9","article-title":"Food systems are responsible for a third of global anthropogenic GHG emissions","volume":"2","author":"Crippa M","year":"2021","unstructured":"Crippa M, Solazzo E, Guizzardi D, Monforti-Ferrario F, Tubiello FN, Leip A. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat Food. 2021;2(3):198\u2013209.","journal-title":"Nat Food"},{"issue":"1","key":"e_1_3_5_24_1","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1111\/j.1442-9993.1993.tb00438.x","article-title":"Non-parametric multivariate analyses of changes in community structure","volume":"18","author":"Clarke KR.","year":"1993","unstructured":"Clarke KR. Non-parametric multivariate analyses of changes in community structure. Austral Ecol. 1993;18(1):117\u2013143.","journal-title":"Austral Ecol"},{"issue":"1","key":"e_1_3_5_25_1","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1111\/j.2041-210X.2011.00127.x","article-title":"Distance-based multivariate analyses confound location and dispersion effects","volume":"3","author":"Warton DI","year":"2012","unstructured":"Warton DI, Wright ST, Wang Y. Distance-based multivariate analyses confound location and dispersion effects. Methods Ecol Evol. 2012;3(1):89\u2013101.","journal-title":"Methods Ecol Evol"},{"issue":"4","key":"e_1_3_5_26_1","doi-asserted-by":"crossref","first-page":"e1000352","DOI":"10.1371\/journal.pcbi.1000352","article-title":"Statistical methods for detecting differentially abundant features in clinical metagenomic samples","volume":"5","author":"White JR","year":"2009","unstructured":"White JR, Nagarajan N, Pop M. Statistical methods for detecting differentially abundant features in clinical metagenomic samples. PLOS Comput Biol. 2009;5(4):e1000352.","journal-title":"PLOS Comput Biol"},{"issue":"1","key":"e_1_3_5_27_1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1038\/nprot.2012.135","article-title":"Global metabolic profiling of animal and human tissues via UPLC-MS","volume":"8","author":"Want EJ","year":"2013","unstructured":"Want EJ, Masson P, Michopoulos F, et al. Global metabolic profiling of animal and human tissues via UPLC-MS. Nat Protoc. 2013;8(1):17\u201332.","journal-title":"Nat Protoc"},{"issue":"1","key":"e_1_3_5_28_1","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1186\/s12859-017-1579-y","article-title":"metaX: a flexible and comprehensive software for processing metabolomics data","volume":"18","author":"Wen B","year":"2017","unstructured":"Wen B, Mei ZL, Zeng CW, Liu SQ. metaX: a flexible and comprehensive software for processing metabolomics data. BMC Bioinformatics. 2017;18(1):183.","journal-title":"BMC Bioinformatics"},{"key":"e_1_3_5_29_1","doi-asserted-by":"crossref","first-page":"31424","DOI":"10.1038\/srep31424","article-title":"Exploratory metabolomics profiling in the kainic acid rat model reveals depletion of 25-hydroxyvitamin D3 during epileptogenesis","volume":"6","author":"Heischmann S","year":"2016","unstructured":"Heischmann S, Quinn K, Cruickshank-Quinn C, et al. Exploratory metabolomics profiling in the kainic acid rat model reveals depletion of 25-hydroxyvitamin D3 during epileptogenesis. Sci Rep. 2016;6:31424.","journal-title":"Sci Rep"},{"key":"e_1_3_5_30_1","doi-asserted-by":"crossref","first-page":"4753","DOI":"10.1038\/ncomms5753","article-title":"Circadian rhythm reprogramming during lung inflammation","volume":"5","author":"Haspel JA","year":"2014","unstructured":"Haspel JA, Chettimada S, Shaik RS, et al. Circadian rhythm reprogramming during lung inflammation. Nat Commun. 2014;5:4753.","journal-title":"Nat Commun"},{"issue":"7231","key":"e_1_3_5_31_1","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1038\/nature07762","article-title":"Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression","volume":"457","author":"Sreekumar A","year":"2009","unstructured":"Sreekumar A, Poisson LM, Rajendiran TM, et al. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature. 2009;457(7231):910\u2013914.","journal-title":"Nature"},{"issue":"7","key":"e_1_3_5_32_1","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1038\/nprot.2011.335","article-title":"Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry","volume":"6","author":"Dunn WB","year":"2011","unstructured":"Dunn WB, Broadhurst D, Begley P, and H.S.M.H. C., et al. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nat Protoc. 2011;6(7):1060\u20131083.","journal-title":"Nat Protoc"},{"key":"e_1_3_5_33_1","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1242\/bio.017863","article-title":"Metabolomics reveals significant variations in metabolites and correlations regarding the maturation of walnuts (Juglans regiaL.)","volume":"5","author":"Rao GD","year":"2016","unstructured":"Rao GD, Sui JK, Zhang JG. Metabolomics reveals significant variations in metabolites and correlations regarding the maturation of walnuts (Juglans regiaL.). Biol Open. 2016;5:829\u2013836.","journal-title":"Biol Open."},{"issue":"8","key":"e_1_3_5_34_1","first-page":"skaa231","article-title":"Effects of bismuth subsalicylate and encapsulated calcium-ammonium nitrate on enteric methane production, nutrient digestibility, and liver mineral concentration of beef cattle","volume":"98","author":"Henry DD","year":"2020","unstructured":"Henry DD, Ciriaco FM, Araujo RC, et al. Effects of bismuth subsalicylate and encapsulated calcium-ammonium nitrate on enteric methane production, nutrient digestibility, and liver mineral concentration of beef cattle. J Anim Sci. 2020;98(8):skaa231.","journal-title":"J Anim Sci"},{"issue":"5","key":"e_1_3_5_35_1","doi-asserted-by":"crossref","first-page":"3563","DOI":"10.3168\/jds.2016-12033","article-title":"Enteric methane production in lactating dairy cows with continuous feeding of essential oils or rotational feeding of essential oils and lauric acid","volume":"100","author":"Klop G","year":"2017","unstructured":"Klop G, Dijkstra J, Dieho K, Hendriks WH, Bannink A. Enteric methane production in lactating dairy cows with continuous feeding of essential oils or rotational feeding of essential oils and lauric acid. J Dairy Sci. 2017;100(5):3563\u20133575.","journal-title":"J Dairy Sci"},{"issue":"17","key":"e_1_3_5_36_1","doi-asserted-by":"crossref","first-page":"4017","DOI":"10.1016\/j.biortech.2008.12.061","article-title":"Effects of the methane-inhibitors nitrate, nitroethane, lauric acid, Lauricidin and the Hawaiian marine algae on ruminal fermentation","volume":"100","author":"Bozic AK","year":"2009","unstructured":"Bozic AK, Anderson RC, Carstens GE, et al. Effects of the methane-inhibitors nitrate, nitroethane, lauric acid, Lauricidin and the Hawaiian marine algae on ruminal fermentation. Bioresour Technol. 2009;100(17):4017\u20134025.","journal-title":"Bioresour Technol"},{"issue":"1","key":"e_1_3_5_37_1","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1046\/j.1472-765x.2001.00863.x","article-title":"Ruminal methanogenesis as influenced by individual fatty acids supplemented to complete ruminant diets","volume":"32","author":"Dohme F","year":"2001","unstructured":"Dohme F, Machm\u00fcller A, Wasserfallen A, Kreuzer M. Ruminal methanogenesis as influenced by individual fatty acids supplemented to complete ruminant diets. Lett Appl Microbiol. 2001;32(1):47\u201351.","journal-title":"Lett Appl Microbiol"},{"issue":"2","key":"e_1_3_5_38_1","doi-asserted-by":"crossref","first-page":"233","DOI":"10.4141\/A01-078","article-title":"In vitro ruminal methane suppression by lauric acid as influenced by dietary calcium","volume":"82","author":"Machm\u00fcller A","year":"2002","unstructured":"Machm\u00fcller A, Soliva CR, Kreuzer M. In vitro ruminal methane suppression by lauric acid as influenced by dietary calcium. Can J Anim Sci. 2002;82(2):233\u2013239.","journal-title":"Can J Anim Sci"},{"issue":"1","key":"e_1_3_5_39_1","doi-asserted-by":"crossref","first-page":"4599","DOI":"10.1073\/pnas.1000071108","article-title":"Pan-genome of the dominant human gut-associated archaeon, studied in twins","volume":"108","author":"Hansen EE","year":"2011","unstructured":"Hansen EE, Lozupone CA, Rey FE, et al. Pan-genome of the dominant human gut-associated archaeon, studied in twins. Proc Natl Acad Sci U S A. 2011;108(Suppl 1):4599\u20134606.","journal-title":"Proc Natl Acad Sci U S A"},{"key":"e_1_3_5_40_1","doi-asserted-by":"crossref","first-page":"121869","DOI":"10.1016\/j.carbpol.2024.121869","article-title":"Influence of chain length on the colonic fermentation of xylooligosaccharides","volume":"331","author":"Zhao S","year":"2024","unstructured":"Zhao S, Lau R, Chen M-H. Influence of chain length on the colonic fermentation of xylooligosaccharides. Carbohydr Polym. 2024;331:121869.","journal-title":"Carbohydr Polym"},{"issue":"11","key":"e_1_3_5_41_1","doi-asserted-by":"crossref","first-page":"102122","DOI":"10.1016\/j.psj.2022.102122","article-title":"Galacto-oligosaccharides and xylo-oligosaccharides affect meat flavor by altering the cecal microbiome, metabolome, and transcriptome of chickens","volume":"101","author":"Yang CW","year":"2022","unstructured":"Yang CW, Qiu MH, Zhang ZR, et al. Galacto-oligosaccharides and xylo-oligosaccharides affect meat flavor by altering the cecal microbiome, metabolome, and transcriptome of chickens. Poult Sci. 2022;101(11):102122.","journal-title":"Poult Sci"},{"key":"e_1_3_5_42_1","doi-asserted-by":"crossref","first-page":"119776","DOI":"10.1016\/j.carbpol.2022.119776","article-title":"Xylooligosaccharide-mediated gut microbiota enhances gut barrier and modulates gut immunity associated with alterations of biological processes in a pig model","volume":"294","author":"Tang SL","year":"2022","unstructured":"Tang SL, Chen YX, Deng FL, et al. Xylooligosaccharide-mediated gut microbiota enhances gut barrier and modulates gut immunity associated with alterations of biological processes in a pig model. Carbohydr Polym. 2022;294:119776.","journal-title":"Carbohydr Polym"},{"key":"e_1_3_5_43_1","doi-asserted-by":"crossref","first-page":"680208","DOI":"10.3389\/fvets.2021.680208","article-title":"Dietary supplementation with xylo-oligosaccharides modifies the intestinal epithelial morphology, barrier function and the fecal microbiota composition and activity in weaned piglets","volume":"8","author":"Su JY","year":"2021","unstructured":"Su JY, Zhang WH, Ma C, Xie PF, Blachier F, Kong XF. Dietary supplementation with xylo-oligosaccharides modifies the intestinal epithelial morphology, barrier function and the fecal microbiota composition and activity in weaned piglets. Front Vet Sci. 2021;8:680208.","journal-title":"Front Vet Sci"},{"issue":"10","key":"e_1_3_5_44_1","doi-asserted-by":"crossref","first-page":"e1007580","DOI":"10.1371\/journal.pgen.1007580","article-title":"Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows","volume":"14","author":"Difford GF","year":"2018","unstructured":"Difford GF, Plichta DR, L\u00f8vendahl P, et al. Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows. PLOS Genet. 2018;14(10):e1007580.","journal-title":"PLOS Genet"},{"issue":"9","key":"e_1_3_5_45_1","doi-asserted-by":"crossref","first-page":"6030","DOI":"10.3168\/jds.2013-6766","article-title":"Investigating the effect of two methane-mitigating diets on the rumen microbiome using massively parallel sequencing","volume":"96","author":"Ross EM","year":"2013","unstructured":"Ross EM, Moate PJ, Marett L, Cocks BG, Hayes BJ. Investigating the effect of two methane-mitigating diets on the rumen microbiome using massively parallel sequencing. J Dairy Sci. 2013;96(9):6030\u20136046.","journal-title":"J Dairy Sci"},{"issue":"3","key":"e_1_3_5_46_1","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1093\/tas\/txz073","article-title":"Relationships between digestible energy and metabolizable energy in current feedlot diets","volume":"3","author":"Hales KE.","year":"2019","unstructured":"Hales KE. Relationships between digestible energy and metabolizable energy in current feedlot diets. Transl Anim Sci. 2019;3(3):945\u2013952.","journal-title":"Transl Anim Sci"},{"key":"e_1_3_5_47_1","doi-asserted-by":"crossref","first-page":"14007","DOI":"10.1038\/ncomms14007","article-title":"A RuBisCO-mediated carbon metabolic pathway in methanogenic archaea","volume":"8","author":"Kono T","year":"2017","unstructured":"Kono T, Mehrotra S, Endo C, et al. A RuBisCO-mediated carbon metabolic pathway in methanogenic archaea. Nat Commun. 2017;8:14007.","journal-title":"Nat Commun"},{"key":"e_1_3_5_48_1","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1016\/j.scitotenv.2019.06.489","article-title":"Differences in methane production, yield and intensity and its effects on metabolism of dairy heifers","volume":"689","author":"Ornelas LTC","year":"2019","unstructured":"Ornelas LTC, Silva DC, Tomich TR, et al. Differences in methane production, yield and intensity and its effects on metabolism of dairy heifers. Sci Total Environ. 2019;689:1133\u20131140.","journal-title":"Sci Total Environ"},{"issue":"12","key":"e_1_3_5_49_1","doi-asserted-by":"crossref","first-page":"12553","DOI":"10.3168\/jds.2021-20477","article-title":"Milk metabolome reveals variations on enteric methane emissions from dairy cows fed a specific inhibitor of the methanogenesis pathway","volume":"104","author":"Yanibada B","year":"2021","unstructured":"Yanibada B, Hohenester U, P\u00e9t\u00e9ra M, et al. Milk metabolome reveals variations on enteric methane emissions from dairy cows fed a specific inhibitor of the methanogenesis pathway. J Dairy Sci. 2021;104(12):12553\u201312566.","journal-title":"J Dairy Sci"},{"issue":"2","key":"e_1_3_5_50_1","doi-asserted-by":"crossref","first-page":"323","DOI":"10.3390\/microorganisms10020323","article-title":"Serum biochemical parameters, rumen fermentation, and rumen bacterial communities are partly driven by the breed and sex of cattle when fed high-grain diet","volume":"10","author":"Qiu XJ","year":"2022","unstructured":"Qiu XJ, Qin XL, Chen LM, et al. Serum biochemical parameters, rumen fermentation, and rumen bacterial communities are partly driven by the breed and sex of cattle when fed high-grain diet. Microorganisms. 2022;10(2):323.","journal-title":"Microorganisms"},{"issue":"9","key":"e_1_3_5_51_1","doi-asserted-by":"crossref","first-page":"1855","DOI":"10.1017\/S1751731118003671","article-title":"Response of rumen microbiota, and metabolic profiles of rumen fluid, liver and serum of goats to high-grain diets","volume":"13","author":"Zhang RY","year":"2019","unstructured":"Zhang RY, Liu YJ, Yin YY, Jin W, Mao SY, Liu JH. Response of rumen microbiota, and metabolic profiles of rumen fluid, liver and serum of goats to high-grain diets. Animal. 2019;13(9):1855\u20131864.","journal-title":"Animal"},{"issue":"7","key":"e_1_3_5_52_1","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1111\/j.1439-0396.2005.00519.x","article-title":"Influence of myristic acid supplementation on energy, fatty acid and calcium metabolism of sheep as affected by dietary calcium and forage: concentrate ratio","volume":"89","author":"Machm\u00fcller A","year":"2005","unstructured":"Machm\u00fcller A, Kreuzer M. Influence of myristic acid supplementation on energy, fatty acid and calcium metabolism of sheep as affected by dietary calcium and forage: concentrate ratio. J Anim Physiol Anim Nutr (Berl). 2005;89(7-8):284\u2013296.","journal-title":"J Anim Physiol Anim Nutr (Berl)"},{"issue":"14","key":"e_1_3_5_53_1","doi-asserted-by":"crossref","first-page":"5205","DOI":"10.1002\/jsfa.9056","article-title":"Urea plus nitrate pretreatment of rice and wheat straws enhances degradation and reduces methane production in ruminal culture","volume":"98","author":"Zhang XM","year":"2018","unstructured":"Zhang XM, Wang M, Wang R, et al. Urea plus nitrate pretreatment of rice and wheat straws enhances degradation and reduces methane production in ruminal culture. J Sci Food Agric. 2018;98(14):5205\u20135211.","journal-title":"J Sci Food Agric"},{"key":"e_1_3_5_54_1","doi-asserted-by":"crossref","first-page":"319","DOI":"10.3389\/fmicb.2013.00319","article-title":"A theoretical comparison between two ruminal electron sinks","volume":"4","author":"Ungerfeld EM.","year":"2013","unstructured":"Ungerfeld EM. A theoretical comparison between two ruminal electron sinks. Front Microbiol. 2013;4:319.","journal-title":"Front Microbiol"},{"key":"e_1_3_5_55_1","doi-asserted-by":"crossref","first-page":"fnad118","DOI":"10.1093\/femsle\/fnad118","article-title":"R-026 combined with R-179 alleviate hypercholesterolemia and modulate the gut microbiota in C57BL\/6 mice","volume":"370","author":"Huang JL","year":"2023","unstructured":"Huang JL, Xu YF, Wang MH, et al. R-026 combined with R-179 alleviate hypercholesterolemia and modulate the gut microbiota in C57BL\/6 mice. Fems Microbiol Lett. 2023;370:fnad118.","journal-title":"Fems Microbiol Lett."},{"issue":"12","key":"e_1_3_5_56_1","doi-asserted-by":"crossref","first-page":"2639","DOI":"10.1038\/ismej.2017.119","article-title":"Exact sequence variants should replace operational taxonomic units in marker-gene data analysis","volume":"11","author":"Callahan BJ","year":"2017","unstructured":"Callahan BJ, McMurdie PJ, Holmes SP. Exact sequence variants should replace operational taxonomic units in marker-gene data analysis. Isme J. 2017;11(12):2639\u20132643.","journal-title":"Isme J"}],"container-title":["Animal Biotechnology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10495398.2026.2743468","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.tandfonline.com\/doi\/full-xml\/10.1080\/10495398.2026.2743468","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10495398.2026.2743468","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T07:10:35Z","timestamp":1792653035000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10495398.2026.2743468"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,22]]},"references-count":55,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2027,12,31]]}},"alternative-id":["10.1080\/10495398.2026.2743468"],"URL":"https:\/\/doi.org\/10.1080\/10495398.2026.2743468","relation":{},"ISSN":["1049-5398","1532-2378"],"issn-type":[{"value":"1049-5398","type":"print"},{"value":"1532-2378","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,22]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=labt20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=labt20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2025-02-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-30","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-10-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2743468"}}