Asian-Australasian Journal of Animal Sciences

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
권호 표지
DOI QR코드

DOI QR Code

Metabolomics reveals potential biomarkers in the rumen fluid of dairy cows with different levels of milk production

  • Zhang, Hua (Beijing Key Laboratory for Dairy Cow Nutrition, Beijing University of Agriculture) ;
  • Tong, Jinjin (Beijing Key Laboratory for Dairy Cow Nutrition, Beijing University of Agriculture) ;
  • Zhang, Yonghong (Beijing Key Laboratory for Dairy Cow Nutrition, Beijing University of Agriculture) ;
  • Xiong, Benhai (State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences) ;
  • Jiang, Linshu (Beijing Key Laboratory for Dairy Cow Nutrition, Beijing University of Agriculture)
  • Received : 2019.03.16
  • Accepted : 2019.08.09
  • Published : 2020.01.01
Download PDF
⟨ Previous Next ⟩

Abstract

Objective: In the present study, an liquid chromatography/mass spectrometry (LC/MS) metabolomics approach was performed to investigate potential biomarkers of milk production in high- and low-milk-yield dairy cows and to establish correlations among rumen fluid metabolites. Methods: Sixteen lactating dairy cows with similar parity and days in milk were divided into high-yield (HY) and low-yield (LY) groups based on milk yield. On day 21, rumen fluid metabolites were quantified applying LC/MS. Results: The principal component analysis and orthogonal correction partial least squares discriminant analysis showed significantly separated clusters of the ruminal metabolite profiles of HY and LY groups. Compared with HY group, a total of 24 ruminal metabolites were significantly greater in LY group, such as 3-hydroxyanthranilic acid, carboxylic acids, carboxylic acid derivatives (L-isoleucine, L-valine, L-tyrosine, etc.), diazines (uracil, thymine, cytosine), and palmitic acid, while the concentrations of 30 metabolites were dramatically decreased in LY group compared to HY group, included gentisic acid, caprylic acid, and myristic acid. The metabolite enrichment analysis indicated that protein digestion and absorption, ABC transporters and unsaturated fatty acid biosynthesis were significantly different between the two groups. Correlation analysis between the ruminal microbiome and metabolites revealed that certain typical metabolites were exceedingly associated with definite ruminal bacteria; Firmicutes, Actinobacteria, and Synergistetes phyla were highly correlated with most metabolites. Conclusion: These findings revealed that the ruminal metabolite profiles were significantly different between HY and LY groups, and these results may provide novel insights to evaluate biomarkers for a better feed digestion and may reveal the potential mechanism underlying the difference in milk yield in dairy cows.

Keywords

References

  1. Tong J, Zhang H, Yang D, Zhang Y, Xiong B, Jiang L. Illumina sequencing analysis of the ruminal microbiota in high-yield and low-yield lactating dairy cows. Plos one 2018;13:e0198225. https://doi.org/10.1371/journal.pone.0198225
  2. Saleem F, Bouatra S, An CG, et al. The bovine ruminal fluid metabolome. Metabolomics 2013;9:360-78. https://doi.org/10.1007/s11306-012-0458-9
  3. Hanne Christine B, Christian Clement Y, Xumin Z, Niels Bastian K. Effect of dietary nitrogen content on the urine metabolite profile of dairy cows assessed by nuclear magnetic resonance (NMR)-based metabolomics. J Agric Food Chem 2011;59:12499-505. https://doi.org/10.1021/jf204201f
  4. Tang C, Zhang K, Zhan T, Zhao Q, Zhang J. Metabolic characterization of dairy cows treated with gossypol by blood biochemistry and body fluid untargeted metabolome analyses. J Agric Food Chem 2017;65:9369-78. https://doi.org/10.1021/acs.jafc.7b03544
  5. Zhang R, Zhu W, Jiang L, Mao S. Comparative metabolome analysis of ruminal changes in Holstein dairy cows fed low- or high-concentrate diets. Metabolomics 2017;13:74. https://doi. org/10.1007/s11306-017-1204-0
  6. Hui-Zeng S, Di-Ming W, Bing W, et al. Metabolomics of four biofluids from dairy cows: potential biomarkers for milk production and quality. J Proteome Res 2015;14:1287-98. https://doi.org/10.1021/pr501305g
  7. Xue F, Pan X, Jiang L, Guo Y, Xiong B. GC-MS analysis of the ruminal metabolome response to thiamine supplementation during high grain feeding in dairy cows. Metabolomics 2018;14:67. https://doi.org/10.1007/s11306-018-1362-8
  8. Ametaj BN, Zebeli Q, Saleem F, et al. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics 2010;6:583-94. https://doi.org/10.1007/s11306-010-0227-6
  9. Mao SY, Huo WJ, Zhu WY. Microbiome-metabolome analysis reveals unhealthy alterations in the composition and metabolism of ruminal microbiota with increasing dietary grain in a goat model. Environ Microbiol 2016;18:525-41. https://doi.org/10.1111/1462-2920.12724
  10. Zhao S, Zhao J, Bu D, Sun P, Wang J, Dong Z. Metabolomics analysis reveals large effect of roughage types on rumen microbial metabolic profile in dairy cows. Lett Appl Microbiol 2014; 59:79-85. https://doi.org/10.1111/lam.12247
  11. De Barros F, Goissis MD, Caetano H, et al. Serum starvation and full confluency for cell cycle synchronization of domestic cat (felis catus) foetal fibroblasts. Reprod Domest Anim 2010;45:38-41. https://doi.org/10.1111/j.1439-0531.2008.01201.x
  12. Liu Y, Li J, Jin Y, et al. Splenectomy leads to amelioration of altered gut microbiota and metabolome in liver cirrhosis patients. Front Microbiol 2018;9:963. https://doi.org/10.3389/fmicb.2018.00963
  13. Allison MJ, Peel JL. The biosynthesis of valine from isobutyrate by Peptostreptococcus elsdenii and Bacteroides ruminicola. Biochem J 1971;121:431-7. https://doi.org/10.1042/bj1210431
  14. Chen L, Luo Y, Wang H, Liu S, Shen Y, Wang M. Effects of glucose and starch on lactate production by newly-isolated Streptococcus bovis S1 from Saanen goats. Appl Environ Microbiol 2016;82:5982-9. https://doi.org/10.1128/AEM.01994-16
  15. Asanuma N, Hino T. Effects of pH and energy supply on activity and amount of pyruvate formate-lyase in Streptococcus bovis. Appl Environ Microbiol 2000;66:3773-7. https://doi.org/10.1128/AEM.66.9.3773-3777.2000
  16. Andries JI, Buysse FX, Brabander DLD, Cottyn BG. Isoacids in ruminant nutrition: Their role in ruminal and intermediary metabolism and possible influences on performances - A review. Anim Feed Sci Technol 1987;18:169-80. https://doi.org/10.1016/0377-8401(87)90069-1
  17. Kim EJ, Huws SA, Lee MRF, Scollan ND. Dietary transformation of lipid in the rumen microbial ecosystem. Asian-Australas J Anim Sci 2009;22:1341-50. https://doi.org/10.5713/ajas.2009.r.11
  18. Jenkins TC. Lipid metabolism in the rumen. J Dairy Sci 1993;76:3851-63. https://doi.org/10.3168/jds.S0022-0302(93)77727-9
  19. Artegoitia VM, Foote AP, Lewis RM, Freetly HC. Rumen fluid metabolomics analysis associated with feed efficiency on crossbred steers. Sci Rep 2017;7:2864. https://doi.org/10.1038/s41598-017-02856-0
  20. Friggens NC, Emmans GC, Kyriazakis I, Oldham JD, Lewis M. Feed intake relative to stage of lactation for dairy cows consuming total mixed diets with a high or low ratio of concentrate to forage. J Dairy Sci 1998;81:2228-39. https://doi.org/10.3168/jds.S0022-0302(98)75802-3
  21. Saleem F, Ametaj BN, Bouatra S, et al. A metabolomics approach to uncover the effects of grain diets on rumen health in dairy cows. J Dairy Sci 2012;95:6606-23. https://doi.org/10.3168/jds.2012-5403
  22. Michaud MR, Denlinger DL. Shifts in the carbohydrate, polyol, and amino acid pools during rapid cold-hardening and diapause-associated cold-hardening in flesh flies (Sarcophaga crassipalpis): a metabolomic comparison. J Comp Physiol B 2007;177:753-63. https://doi.org/10.1007/s00360-007-0172-5
  23. Pan XH, Yang L, Xue FG, et al. Relationship between thiamine and subacute ruminal acidosis induced by a high-grain diet in dairy cows. J Dairy Sci 2016;99:8790-801. https://doi.org/10.3168/jds.2016-10865
  24. Khafipour E, Li S, Plaizier JC, Krause DO. Rumen microbiome composition determined using two nutritional models of subacute ruminal acidosis. Appl Environ Microbiol 2009;75:7115-24. https://doi.org/10.1128/AEM.00739-09
  25. Ueda K, Mitani T, Kondo S. Effect of timing and type of supplementary grain on herbage intake, nitrogen utilization and milk production in dairy cows grazed on perennial ryegrass pasture from evening to morning. Anim Sci J 2016;88:107-18. https://doi.org/10.1111/asj.12605
  26. Huizeng S, Wang B, Wang J, Liu H, Liu J. Biomarker and pathway analyses of urine metabolomics in dairy cows when corn stover replaces alfalfa hay. J Anim Sci Biotechnol 2016;7:49. https://doi.org/10.1186/s40104-016-0107-7
  27. Zhang J, Xu C, Huo D, Hu Q, Peng Q. Comparative study of the gut microbiome potentially related to milk protein in Murrah buffaloes (Bubalus bubalis) and Chinese Holstein cattle. Sci Rep 2017;7:42189. https://doi.org/10.1038/srep42189

Cited by

  1. Identification of disordered metabolic networks in postpartum dairy cows with left displacement of the abomasum through integrated metabolomics and pathway analyses vol.82, pp.2, 2020, https://doi.org/10.1292/jvms.19-0378
  2. LC-MS/MS Based Metabolomics Reveal Candidate Biomarkers and Metabolic Changes in Different Buffalo Species vol.11, pp.2, 2020, https://doi.org/10.3390/ani11020560
  3. Metabolomics comparison of rumen fluid and milk in dairy cattle using proton nuclear magnetic resonance spectroscopy vol.34, pp.2, 2021, https://doi.org/10.5713/ajas.20.0197
  4. Changes of Milk Metabolomic Profiles Resulting from a Mycotoxins-Contaminated Corn Silage Intake by Dairy Cows vol.11, pp.8, 2020, https://doi.org/10.3390/metabo11080475
  5. Comparative untargeted metabolome analysis of ruminal fluid and feces of Nelore steers (Bos indicus) vol.11, pp.1, 2020, https://doi.org/10.1038/s41598-021-92179-y