Journal of The Korean Society of Grassland and Forage Science (한국초지조사료학회지)

The Korean Society of Grassland and Forage Science (한국초지조사료학회)
권호 표지
DOI QR코드

DOI QR Code

Effects of Heat-stress on Rumen Bacterial Diversity and Composition of Holstein Cows

고온 스트레스 영향에 따른 홀스타인종 젖소의 반추위내 미생물 균총 변화

  • Kim, Dong Hyeon (National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Myung Hoo (Department of Animal Science, Pusan National University) ;
  • Kim, Sang Bum (Rural Development Administration) ;
  • Ha, Seung Min (National Institute of Animal Science, Rural Development Administration) ;
  • Son, Jun Kyu (National Institute of Animal Science, Rural Development Administration) ;
  • Lee, Ji Hwan (National Institute of Animal Science, Rural Development Administration) ;
  • Hur, Tai Young (National Institute of Animal Science, Rural Development Administration) ;
  • Lee, Jae Yeong (National Institute of Animal Science, Rural Development Administration) ;
  • Park, Ji Hoo (National Institute of Animal Science, Rural Development Administration) ;
  • Choi, Hee Chul (National Institute of Animal Science, Rural Development Administration) ;
  • Lee, Hyun Jeong (National Institute of Animal Science, Rural Development Administration) ;
  • Park, Beom Young (National Institute of Animal Science, Rural Development Administration) ;
  • Ki, Kwang Seok (National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Eun Tae (National Institute of Animal Science, Rural Development Administration)
  • Received : 2019.06.12
  • Accepted : 2019.11.21
  • Published : 2019.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study was performed to investigate the effect of heat-stressed environment on rumen microbial diversity in Holstein cows. Rectal temperature and respiration rate were measured and rumen fluid was collected under normal environment (NE; Temperature humidity index (THI)=64.6) and heat-stressed environment (HE; THI=87.2) from 10 Holstein cows (60±17.7 months, 717±64.4 kg) fed on the basis of dairy feeding management in National Institute of Animal Science. The rumen bacteria diversity was analyzed by using the Illumina HiSeqTM 4000 platform. The rectal temperature and respiratory rate were increased by 1.5℃ and 53 breaths/min in HE compared to that in NE, respectively. In this study, HE exposure induced significant changes of ruminal microbe. At phylum level, Fibrobacteres were increased in HE. At genus level, Ruminococcaceae bacterium P7 and YAD3003, Butyrivibrio sp. AE2032, Erysipelotrichaceae bacterium NK3D112, Bifidobacterium pseudolongum, Lachnospiraceae bacterium FE2018, XBB2008, and AC2029, Eubacterium celulosolvens, Clostridium hathewayi, and Butyrivibrio hungatei were decreased in HE, while Choristoneura murinana nucleopolyhedrovirus, Calothrix parasitica, Nostoc sp. KVJ20, Anabaena sp. ATCC 33047, Fibrobacter sp. UWB13 and sp. UWB5, Lachnospiraceae bacterium G41, and Xanthomonas arboricola were increased in HE. In conclusion, HE might have an effect to change the rumen microbial community in Holstein cows.

본 연구는 고온기 여름철 사육환경에서의 홀스타인종 젖소의 반추위내 미생물 균총 변화를 분석하고, 반추위내 미생물과 고온 스트레스간의 연관성을 규명하고자 수행하였다. 국립축산과학원 낙농과에서 사육 중인 홀스타인 젖소 10두의 반추위액을 채취하였으며, 채취한 시료 샘플은 PowerSoil® DNA Isolation Kit (Cat. No. 12888, MO BIO)를 이용하여 DNA를 추출한 후 Illumina HiSeqTM platform (Illumina, CA, USA)을 이용하여 미생물 균총 분석을 실시하였다. 반추위액 내 미생물 균총을 분석한 결과, 사육환경 온습도에 따른 미생물 군집 구성에는 큰 차이는 없었으나, 미생물의 상대적 함량에는 차이가 있었다. LEfSe 분석을 통해 적온과 고온 환경에서 특정 미생물들의 상대적 조성이 유의적으로 증가함을 확인하였다. 이들 결과를 볼 때, 반추위내 미생물 균총은 고온과 같은 외부 환경변화에 영향을 받는 것으로 판단되어 젖소의 고온스트레스 반응에 있어 반추위 미생물 변화가 중요한 역할을 담당할 것으로 사료된다. 추후 연구는 이러한 차이를 나타내는 미생물들의 대사 경로나 대사 물질에 분석을 통해 환경변화와 미생물간의 연관성 및 이러한 미생물 균총 조절을 통한 고온기 젖소의 적응성 향상을 위한 미생물학적 전략 연구가가 필요할 것으로 생각된다.

Keywords

References

  1. Akyuz, A., Boyaci, S. and Cayli, A. 2010. Determination of critical period for dairy cows using temperature humidity index. Journal of Animal and Veterinary Advances. 9:1824-1827. https://doi.org/10.3923/javaa.2010.1824.1827
  2. Armstrong, D.V. 1994. Heat stress interaction with shade and cooling. Journal of Dairy Science. 77:2044-2050. https://doi.org/10.3168/jds.S0022-0302(94)77149-6
  3. Bohmanova, J., Misztal, I. and Cole, J.B. 2007. Temperature-Humidity Indices as Indicators of Milk Production Losses due to Heat Stress. Journal of Dairy Science. 90:1947-1956. https://doi.org/10.3168/jds.2006-513
  4. Bryant, M.P. 1959. Bacterial species of the rumen. Bacteriological reviews. 23:125. https://doi.org/10.1128/MMBR.23.3.125-153.1959
  5. de Menezes, A.B., Lewis, E., O'Donovan, M., O'Neill, B.F., Clipson, N. and Doyle, E.M. 2011. Microbiome analysis of dairy cows fed pasture or total mixed ration diets. FEMS Microbiology Ecology. 78:256-265. https://doi.org/10.1111/j.1574-6941.2011.01151.x
  6. FastQC, https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
  7. Fernando, S.C., Purvis, H.T., Najar, F.Z., Sukharnikov, L.O., Krehbiel, C.R., Nagaraja, T.G., Roe, B.A. and DeSilva, U. 2010. Rumen microbial population dynamics during adaptation to a high-grain diet. Applied and Environmental Microbiology. 76:7482-7490. https://doi.org/10.1128/AEM.00388-10
  8. Golder, H.M., Denman, S.E., McSweeney, C., Wales, W.J., Auldist, M.J., Wright, M.M., Marett, L.C., Greenwood, J.S., Hannah, M.C., Celi, P., Bramley, E. and Lean, I.J. 2014. Effects of partial mixed rations and supplement amounts on milk production and composition, ruminal fermentation, bacterial communities, and ruminal acidosis. Journal of Dairy Science. 97:5763-5785. https://doi.org/10.3168/jds.2014-8049
  9. Guarner, F. 2006. Enteric flora in health and disease. Digestion. 73:5-12. https://doi.org/10.1159/000089775
  10. Habeeb, A.A., Gad, A.E. and Atta, M.A. 2018. Temperature-humidity indices as indicators to heat stress of climatic conditions with relation to production and reproduction of farm animals. International Journal of Biotechnology and Recent Advances. 1:35-50. https://doi.org/10.18689/ijbr-1000107
  11. Hammami, H., Bormann, J., M'hamdi, N., Montaldo, H.H. and Gengler, N. 2013. Evaluation of heat stress effects on production traits and somatic cell score of Holsteins in a temperate environment. Journal of Dairy Science. 96:1844-1855. https://doi.org/10.3168/jds.2012-5947
  12. Hansen, P.J. 2007. Exploitation of genetic and physiological determinants of embryonic resistance to elevated temperature to improve embryonic survival in dairy cattle during heat stress. Theriogenology. 68:S242-S249. https://doi.org/10.1016/j.theriogenology.2007.04.008
  13. Hernandez-Sanabria, E., Goonewardene, L.A., Wang, Z., Durunna, O.N. and Moore, S.S. 2012. Impact of feed efficiency and diet on adaptive variations in the bacterial community in the rumen fluid of cattle. Applied and Environmental Microbiology. 78:1203-1214. https://doi.org/10.1128/AEM.05114-11
  14. Igono, M.O., Steevens, B.J., Shanklin, M.D., and Johnson, H.D. 1985. Spray cooling effects on milk production, milk, and rectal temperatures of cows during a moderate temperate summer season. Journal of Dairy Science. 68:979-985. https://doi.org/10.3168/jds.S0022-0302(85)80918-8
  15. Jami, E., and Mizrahi, I. 2012. Composition and similarity of bovine rumen microbiota across individual animals. Public Library of Science one. 7:e33306.
  16. Jami, E., Israel, A., Kotser, A. and Mizrahi, I. 2013. Exploring the bovine rumen bacterial community from birth to adulthood. The International Society for Microbial Ecology Journal. 7:1069.
  17. Jami, E., White, B.A. and Mizrahi, I. 2014. Potential role of the bovine rumen microbiome in modulating milk composition and feed efficiency. Public Library of Science One. 9:e85423.
  18. Joo, Y.S., Jung, H.J. and Kim, B.J. 2009. Cluster analysis with Korean weather data: Application of model-based Bayesian clustering method. Journal of the Korean Data and Information Science Society. 20:57-64.
  19. Kabuga, J.D. 1992. The influence of thermal conditions on rectal temperature, respiration rate and pulse rate of lactating Holstein-Friesian cows in the humid tropics. International Journal of Biometeorology. 36:146-150. https://doi.org/10.1007/BF01224817
  20. Kim, D., Song, L., Breitwieser, F.P. and Salzberg, S.L. 2016. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome research. 26:1721-1729. https://doi.org/10.1101/gr.210641.116
  21. KneadDATA, http://huttenhower.sph.harvard.edu/kneaddata
  22. Kou, R., Lam, H., Duan, H., Ye, L., Jongkam, N., Chen, W., Zhang S., and Li, S. 2016. Benefits and challenges with applying unique molecular identifiers in next generation sequencing to detect low frequency mutations. Public Library of Science One. 11:e0146638.
  23. Lima, F.S., Oikonomou, G., Lima, S.F., Bicalho, M.L., Ganda, E.K., de Oliveira Filho, J.C., Lorenzo, G., Trojacanec, P. and Bicalho, R.C. 2015. Prepartum and postpartum rumen fluid microbiomes: Characterization and correlation with production traits in dairy cows. Applied and Environmental Microbiology. 81:1327-1337. https://doi.org/10.1128/AEM.03138-14
  24. Malmuthuge, N. and Guan, L.L. 2017. Understanding host-microbial interactions in rumen: Searching the best opportunity for microbiota manipulation. Microbiome. 8:8. https://doi.org/10.1186/s40168-019-0776-5
  25. Mao, S.Y., Zhang, R.Y., Wang, D.S. and Zhu, W.Y. 2013. Impact of subacute ruminal acidosis (SARA) adaptation on rumen microbiota in dairy cattle using pyrosequencing. Anaerobe. 24:12-19. https://doi.org/10.1016/j.anaerobe.2013.08.003
  26. McCann, J.C., Wickersham, T.A., and Loor, J.J. 2014. High-throughput methods redefine the rumen microbiome and its relationship with nutrition and metabolism. Bioinformatics and Biology Insights. 8:BBI-S15389.
  27. McDowell, R.E. 1972. Improvement of livestock production in warm climates. W. H. Freeman & Co., San Francisco.
  28. National Research Council. 1971. A guide to environmental research on animals. National Academy of Sciences, Washington, DC.
  29. Nesengani, L.T., Wang, J., Yang, Y., Yang, L. and Lu, W. 2017. Unravelling vaginal microbial genetic diversity and abundance between Holstein and Fleckvieh cattle. Royal Society of Chemistry Advances. 7:56137-56143.
  30. Nguyen, T.T., Bowman, P.J., Haile-Mariam, M., Pryce, J.E. and Hayes, B.J. 2016. Genomic selection for tolerance to heat stress in Australian dairy cattle. Journal of Dairy Science. 99:2849-2862. https://doi.org/10.3168/jds.2015-9685
  31. Nocek, J.E. and Russell, J.B. 1988. Protein and energy as an integrated system. Relationship of ruminal protein and carbohydrate availability to microbial synthesis and milk production. Journal of Dairy Science. 71:2070-2107. https://doi.org/10.3168/jds.S0022-0302(88)79782-9
  32. Petri, R.M., Schwaiger, T., Penner, G.B., Beauchemin, K.A., Forster, R.J., McKinnon, J.J. and McAllister, T.A. 2013. Changes in the rumen epimural bacterial diversity of beef cattle as affected by diet and induced ruminal acidosis. Applied and Environmental Microbiology. 79:3744-3755. https://doi.org/10.1128/AEM.03983-12
  33. Prendiville, R., Lewis, E., Pierce, K.M. and Buckley, F. 2010. Comparative grazing behavior of lactating Holstein-Friesian, Jersey, and Jersey x Holstein-Friesian dairy cows and its association with intake capacity and production efficiency. Journal of Dairy Science. 93:764-774. https://doi.org/10.3168/jds.2009-2659
  34. Radostits, O., Arundel, J. and Gay, C. 2006. Veterinary medicine: A textbook of the diseases of cattle, sheep, pigs, goats and horses. 9th Edition. Amsterdam, the Netherlands: Elsevier Health Sciences.
  35. Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W.S. and Huttenhower, C. 2011. Metagenomic biomarker discovery and explanation. Genome Biology. 12:R60. https://doi.org/10.1186/gb-2011-12-6-r60
  36. Stewart, C.S., Flint, H.J. and Bryant, M.P. 1997. The rumen bacteria. In the rumen microbial ecosystem. pp. 10-72. Springer. Dordrecht.
  37. Tajima, K., Nonaka, I., Higuchi, K., Takusari, N., Kurihara, M., Takenaka, A., Mitsumori, M., Kajikawa, H. and Aminov, R.I. 2007. Influence of high temperature and humidity on rumen bacterial diversity in Holstein heifers. Anaerobe. 13:57-64. https://doi.org/10.1016/j.anaerobe.2006.12.001
  38. Thomas, M., Webb, M., Ghimire, S., Blair, A., Olson, K., Fenske, G.J., Fonder, A.T., Christopher-Hennings, J., Brake, D. and Scaria, J. 2017. Metagenomic characterization of the effect of feed additives on the gut microbiome and antibiotic resistome of feedlot cattle. Scientific Reports. 7:12257. https://doi.org/10.1038/s41598-017-12481-6
  39. Weimer, P.J., Stevenson, D.M., Mantovani, H.C. and Man, S.L.C. 2010. Host specificity of the ruminal bacterial community in the dairy cow following near-total exchange of ruminal contents. Journal of Dairy Science. 93:5902-5912. https://doi.org/10.3168/jds.2010-3500
  40. Wenz, J.R., Moore, D.A. and Kasimanickam, R. 2011. Factors associated with the rectal temperature of Holstein dairy cows during the first 10 days in milk. Journal of Dairy Science. 94:1864-1872. https://doi.org/10.3168/jds.2010-3924
  41. Zhang, R., Zhu, W., Zhu, W., Liu, J., and Mao, S. 2014. Effect of dietary forage sources on rumen microbiota, rumen fermentation and biogenic amines in dairy cows. Journal of the Science of Food and Agriculture. 94:1886-1895. https://doi.org/10.1002/jsfa.6508
  42. 맹원재. 1998. 신제 반추동물영양학. 반추위 미생물과 소화작용. 향문사. pp. 75.