Animal Bioscience

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Rumen microbiota and fermentation parameters in Tibetan semi-fine wool sheep reflect growth stages and potential nutritional adaptations

  • Hongjin Liu (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Jiahui Hao (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Xueping Han (Qinghai Agri-animal Husbandry Vocational College) ;
  • Shixiao Xu (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Xungang Wang (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Qian Zhang (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Tongqing Guo (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Chongliang Luo (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Linyong Hu (Northwest Institute of Plateau Biology, Chinese Academy of Sciences) ;
  • Wenmin Zhang (Langfang Normal University)
  • Received : 2025.08.24
  • Accepted : 2025.12.30
  • Published : 2026.06.01
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Abstract

Objective: The rumen microbiota plays a pivotal role in fermenting plant biomass, which is essential for nutrient conversion. Although extensive research has examined the intestinal microbiome of Tibetan livestock, the rumen microbiota of semi-fine wool sheep (SF-sheep) remains poorly characterized. This study aimed to profile age-related changes in the rumen microbiota and fermentation parameters of SF-sheep to uncover potential microbial-mediated adaptations to different growth stages. Methods: Full-grazing male SF-sheep were randomly assigned into three age groups: two-month-old lambs, yearling sub-adults, and approximately 50-month-old adults. 16S rRNA gene sequencing and high-performance liquid chromatography were used to analyze the rumen microbiota composition and short-chain volatile fatty acids (SCVFAs). Results: Age-dependent differences were observed in ruminal NH3-N concentrations, with sub-adult sheep exhibiting higher levels than young and adult individuals, whereas SCVFAs concentrations remained relatively stable. With age, the rumen microbial community structure tended to become more homogeneous, whereas microbial diversity and complexity showed a marked increase during adulthood. At the phylum level, Saccharibacteria and Succiniclasticum were enriched in sub-adults, whereas Euryarchaeota and Prevotellace_UCG_001 were more abundant in adults; no microbial biomarkers were detected in young sheep. Correlation analyses indicated that age and NH3-N concentrations were the primary factors shaping the rumen microbiota. SCVFAs, including acetate, butyrate, and propionate, were positively associated with fibrolytic and polysaccharide-degrading bacteria such as Prevotella_1, Treponema_2, and Selenomonas_1. The rumen microbial communities were classified into two enterotypes. Enterotype 1, predominantly observed in young SF-sheep, showed higher abundances of Kyoto Encyclopedia of Genes and Genomes Orthologs (e.g., K00656, K00239, K01966) associated with acetate, propionate, and butyrate synthesis. Conclusion: The rumen microbial ecosystem of SF-sheep showed pronounced age-dependent restructuring in microbial composition and diversity, accompanied by nitrogen metabolism. These changes represent dynamic microbial adaptation to the host's physiological state and potential developmental shifts in nutrient requirements, offering valuable insights for age-specific nutritional management strategies.

Keywords

Acknowledgement

This work was supported by the Joint Grant from Chinese Academy of Sciences-People's Government of Qinghai Province on Sanjiangyuan National Park (LHZX-2023-02) and the Youth Innovation Promotion Association, Chinese Academy of Sciences.

References

  1. Hungate R. Hydrogen as an intermediate in the rumen fermentation. Arch Mikrobiol 1967;59:158-64. https://doi.org/10.1007/BF00406327
  2. Liu H, Xu T, Xu S, et al. Effect of dietary concentrate to forage ratio on growth performance, rumen fermentation and bacterial diversity of Tibetan sheep under barn feeding on the Qinghai-Tibetan plateau. PeerJ 2019;7:e7462. https://doi.org/10.7717/peerj.7462
  3. Zhang Z, Gao X, Dong W, et al. Plant cell wall breakdown by hindgut microorganisms: can we get scientific insights from rumen microorganisms? J Equine Vet Sci 2022;115:104027. https://doi.org/10.1016/j.jevs.2022.104027
  4. Wang Y, Cao P, Wang L, Zhao Z, Chen Y, Yang Y. Bacterial community diversity associated with different levels of dietary nutrition in the rumen of sheep. Appl Microbiol Biotechnol 2017;101:3717-28. https://doi.org/10.1007/s00253-017-8144-5
  5. Palma-Hidalgo JM, Jiménez E, Popova M, et al. Inoculation with rumen fluid in early life accelerates the rumen microbial development and favours the weaning process in goats. Anim Microbiome 2021;3:11. https://doi.org/10.1186/s42523-021-00073-9
  6. Wang X, Hu L, Liu H, et al. Characterization of the bacterial microbiota across the different intestinal segments of the Qinghai semi-fine wool sheep on the Qinghai-Tibetan Plateau. Anim Biosci 2021;34:1921-9. https://doi.org/10.5713/ab.20.0809
  7. Han X, Liu H, Hu L, et al. Impact of sex and age on the bacterial composition in rumen of Tibetan sheep in Qinghai China. Livest Sci 2020;238:104030. https://doi.org/10.1016/j.livsci.2020.104030
  8. Minato H, Otsuka M, Shirasaka S, Itabashi H, Mitsumori M. Colonization of microorganisms in the rumen of young calves. J Gen Appl Microbiol 1992;38:447-56. https://doi.org/10.2323/jgam.38.447
  9. Jami E, Israel A, Kotser A, Mizrahi I. Exploring the bovine rumen bacterial community from birth to adulthood. ISME J 2013;7:1069-79. https://doi.org/10.1038/ismej.2013.2
  10. Li H, Yu Q, Li T, et al. Rumen microbiome and metabolome of Tibetan sheep (Ovis aries) reflect animal age and nutritional requirement. Front Vet Sci 2020;7:609. https://doi.org/10.3389/fvets.2020.00609
  11. Liu H, Han X, Zhao N, et al. The gut microbiota determines the high-altitude adaptability of Tibetan wild asses (Equus kiang) in Qinghai-Tibet Plateau. Front Microbiol 2022;13:949002. https://doi.org/10.3389/fmicb.2022.949002
  12. Association of Official Analytical Chemists (AOAC) International. Official methods of analysis of AOAC International. AOAC International; 2000.
  13. Van Soest PJ, Robertson JB, Lewis BA. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci 1991;74:3583-97. https://doi.org/10.3168/jds.S0022-0302(91)78551-2
  14. Liu H, Hu L, Han X, et al. Tibetan sheep adapt to plant phenology in alpine meadows by changing rumen microbial community structure and function. Front Microbiol 2020;11:587558. https://doi.org/10.3389/fmicb.2020.587558
  15. Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010;7:335-6. https://doi.org/10.1038/nmeth.f.303
  16. Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 2011;27:2194-200. https://doi.org/10.1093/bioinformatics/btr381
  17. Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods 2013;10:996-8. https://doi.org/10.1038/nmeth.2604
  18. 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 2012;41:D590-6. https://doi.org/10.1093/nar/gks1219
  19. Aßhauer KP, Wemheuer B, Daniel R, Meinicke P. Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data. Bioinformatics 2015;31:2882-4. https://doi.org/10.1093/bioinformatics/btv287
  20. Jami E, Mizrahi I. Composition and similarity of bovine rumen microbiota across individual animals. PLOS ONE 2012;7:e33306. https://doi.org/10.1371/journal.pone.0033306
  21. Guo N, Wu Q, Shi F, et al. Seasonal dynamics of diet–gut microbiota interaction in adaptation of yaks to life at high altitude. npj Biofilms Microbiomes 2021;7:38. https://doi.org/10.1038/s41522-021-00207-6
  22. Broderick GA, Muck RE. Effect of alfalfa silage storage structure and rumen-protected methionine on production in lactating dairy cows. J Dairy Sci 2009;92:1281-9. https://doi.org/10.3168/jds.2008-1303
  23. Wardrop ID, Coombe JB. The development of rumen function in the lamb. Aust J Agric Res 1961;12:661-80. https://doi.org/10.1071/AR9610661
  24. Cannas A, Tedeschi LO, Atzori AS, Lunesu MF. How can nutrition models increase the production efficiency of sheep and goat operations? Anim Front 2019;9:33-44. https://doi.org/10.1093/af/vfz005
  25. Rychlik JL, Russell JB. Bacteriocin-like activity of Butyrivibrio fibrisolvens JL5 and its effect on other ruminal bacteria and ammonia production. Appl Environ Microbiol 2002;68:1040-6. https://doi.org/10.1128/AEM.68.3.1040-1046.2002
  26. Kim CH. Control of lymphocyte functions by gut microbiotaderived short-chain fatty acids. Cell Mol Immunol 2021;18:1161-71. https://doi.org/10.1038/s41423-020-00625-0
  27. Liu H, Zhao X, Xu S, et al. Multi-omics reveal the gut microbiota-mediated severe foraging environment adaption of small wild ruminants in the Three-River-Source National Park, China. Integr Zool 2024;20:916-35. https://doi.org/10.1111/1749-4877.12830
  28. Jiao J, Huang J, Zhou C, Tan Z. Taxonomic identification of ruminal epithelial bacterial diversity during rumen development in goats. Appl Environ Microbiol 2015;81:3502-9. https://doi.org/10.1128/AEM.00203-15
  29. Ma L, Xu S, Liu H, et al. Yak rumen microbial diversity at different forage growth stages of an alpine meadow on the Qinghai-Tibet Plateau. PeerJ 2019;7:e7645. https://doi.org/10.7717/peerj.7645
  30. Alva-Murillo N, Ochoa-Zarzosa A, López-Meza JE. Short chain fatty acids (propionic and hexanoic) decrease Staphylococcus aureus internalization into bovine mammary epithelial cells and modulate antimicrobial peptide expression. Vet Microbiol 2012;155:324-31. https://doi.org/10.1016/j.vetmic.2011.08.025
  31. Rampelli S, Schnorr SL, Consolandi C, et al. Metagenome sequencing of the Hadza hunter-gatherer gut microbiota. Curr Biol 2015;25:1682-93. https://doi.org/10.1016/j.cub.2015.04.055
  32. Li H, Qu J, Li T, et al. Diet simplification selects for high gut microbial diversity and strong fermenting ability in highaltitude pikas. Appl Microbiol Biotechnol 2018;102:6739-51. https://doi.org/10.1007/s00253-018-9097-z
  33. Dai X, Tian Y, Li J, et al. Metatranscriptomic analyses of plant cell wall polysaccharide degradation by microorganisms in the cow rumen. Appl Environ Microbiol 2015;81:1375-86. https://doi.org/10.1128/AEM.03682-14
  34. Singh K, Ritchey JW, Confer AW. Mannheimia haemolytica: bacterial–host interactions in bovine pneumonia. Vet Pathol 2011;48:338-48. https://doi.org/10.1177/0300985810377182