Asian-Australasian Journal of Animal Sciences

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Effects of dietary fiber levels on cecal microbiota composition in geese

  • Li, Yanpin (Department of Animal Science and Technology, Yangzhou University) ;
  • Yang, Haiming (Department of Animal Science and Technology, Yangzhou University) ;
  • Xu, Lei (Department of Animal Science and Technology, Yangzhou University) ;
  • Wang, Zhiyue (Department of Animal Science and Technology, Yangzhou University) ;
  • Zhao, Yue (Department of Animal Science and Technology, Yangzhou University) ;
  • Chen, Xiaoshuai (Department of Animal Science and Technology, Yangzhou University)
  • Received : 2017.12.18
  • Accepted : 2018.01.26
  • Published : 2018.08.01
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Abstract

Objective: This study shows the effects of dietary fiber levels on cecal microbiota composition in geese at day 70 according to pyrosequencing of the 16S ribosomal RNA gene. Methods: A total of 468 1-day-old healthy male Yangzhou goslings with similar body weight were randomly divided into 3 groups with 6 replicates per group and 26 geese per replicate. Geese were fed diets with fiber levels of 2.5% (low fiber level diet, Group I) and 6.1% (Group III) during days 1-70, respectively, or 4.3% for days 1-28 and 6.1% for days 29-70 (Group II). Results: Low fiber level diet decreased body weight, average daily gain during, increased lower feed conversation rate of geese during day 1 to 70 (p<0.05). Low fiber level diet decreased the total operational taxonomic units, Chao1 index and Shannon index, whereas increased the Simpson index of cecal microbiota in geese at day 70. Low fiber level diet decreased the relative abundance of Bacteroidetes, Firmicutes, Bacteroides, and Paraprevotella in cecum of geese at day 70. The similarity of cecal microbiota between low fiber level diet group and other groups was smaller. Conclusion: This study indicates that the low fiber level diet decreased diversity of microbiota, and relative abundance of some beneficial microbiota in cecum of geese at day 70, implying that the low fiber level diet has negative influence on performance by altering the diversity and population of cecal microbiota in geese.

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References

  1. Liu BY, Wang ZY, Wang HR, et al. Molecular profiling of bacterial species in the geese cecum. Czech J Anim Sci 2011;56:192-203. https://doi.org/10.17221/1433-CJAS
  2. Mcnab JM. The avian caeca: a review. Worlds Poult Sci J 1973;29:251-63. https://doi.org/10.1079/WPS19730014
  3. Garcia DM. The role of the giant Canada goose (Branta Canadensis maxima) cecum in nutrition [master's thesis]. Columbia, MO, USA: University of Missouri-Columbia; 2006.
  4. Yang HM, Wang ZY, Wang J, Shi SR, Zhu XH. Effects of caecectomy on digestibility of crude protein, calcium, phosphorus, neutral detergent fibre and acid detergent fibre in geese. Arch Geflugelkd 2009;73:189-92.
  5. Chiou PW, Luz TW, Hsu C, Yu B. Effect of different sources of fiber on the intestinal morphology of domestic geese. Asian-Australas J Anim Sci 1996;9:539-50. https://doi.org/10.5713/ajas.1996.539
  6. Hsu JC, Chen LI, Yu B. Effects of levels of crude fibre on growth performances and intestinal carbohydrases of domestic goslings. Asian-Australas J Anim Sci 2000;13:1450-4. https://doi.org/10.5713/ajas.2000.1450
  7. Li YP, Wang ZY, Yang HM, et al. Effects of dietary fiber on growth performance, slaughter performance, serum biochemical parameters, and nutrient utilization in geese. Poult Sci 2017;96:1250-6.
  8. Liu BY, Wang ZY, Yang HM, et al. Influence of rearing system on growth performance, carcass traits, and meat quality of Yangzhou geese. Poult Sci 2011;90:653-9. https://doi.org/10.3382/ps.2009-00591
  9. NRC. Nutrient requirements of poultry. 9th rev. ed. Washington, DC, USA: National Academy Press; 1994.
  10. Lu J, Kong XL, Wang ZY, et al. Influence of whole corn feeding on the performance, digestive tract development, and nutrient retention of geese. Poult Sci 2011;90:587-94. https://doi.org/10.3382/ps.2010-01054
  11. Wang ZY, Yang HM, Lu J, Li WZ, Zou JM. Influence of whole hulled rice and rice husk feeding on the performance, carcass yield and digestive tract development of geese. Anim Feed Sci Technol 2014;194:99-105. https://doi.org/10.1016/j.anifeedsci.2014.04.009
  12. Apajalahti JH, Sarkilahti LK, Maki BR, et al. Effective recovery of bacterial DNA and percent-guanine-pluscytosine-based analysis of community structure in the gastrointestinal tract of broiler chickens. Appl Environ Microbiol 1998;64:4084-8.
  13. Yang DH, Zhang YY, Du PC, et al. Rapid identification of bacterial species associated with bronchiectasis via metagenomic approach. Biomed Environ Sci 2014;27:898-901.
  14. Stanley D, Hughes RJ, Moore RJ. Microbiota of the chicken gastrointestinal tract: influence on health, productivity and disease. Appl Microbiol Biotechnol 2014;98:4301-10. https://doi.org/10.1007/s00253-014-5646-2
  15. Gensollen T, Iyer SS, Kasper DL, Blumberg RS. How colonization by microbiota in early life shapes the immune system. Science 2016;352:539-44. https://doi.org/10.1126/science.aad9378
  16. Gong JH, Forster RJ, Yu H, et al. Molecular analysis of bacterial populations in the ileum of broiler chickens and comparison with bacteria in the cecum. FEMS Microbiol Ecol 2002;41:171-9. https://doi.org/10.1111/j.1574-6941.2002.tb00978.x
  17. Rehman H, Hellweg P, Taras D, Zentek J. Effects of dietary inulin on the intestinal short chain fatty acids and microbial ecology in broiler chickens as revealed by denaturing gradient gel electrophoresis. Poult Sci 2008;87:783-9. https://doi.org/10.3382/ps.2007-00271
  18. Shannon CE. The mathematical theory of communication. MD Computing: computers in medical practice 1963;14:306-17.
  19. Simpson EH. Measurement of diversity. Nature 1949;163:688. https://doi.org/10.1038/163688a0
  20. Wang Y, Sheng HF, He Y, et al. Comparison of the levels of bacterial diversity in freshwater, intertidal wetland, and marine sediments by using millions of illumina tags. Appl Environ Microbiol 2012;78:8264-71. https://doi.org/10.1128/AEM.01821-12
  21. Konstantinov SR, Favier CF, Zhu WY, et al. Microbial diversity studies of the porcine gastrointestinal ecosystem during weaning transition. Anim Res 2004;53:317-24. https://doi.org/10.1051/animres:2004019
  22. Chao A. Nonparametric estimation of the number of classes in a population. Scand J Statist 1984;11:265-70.
  23. Qin J, Li R, Raes J, et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 2010;464:59-65. https://doi.org/10.1038/nature08821
  24. Daly K, Stewart CS, Flint HJ, Shirazi-Beechey SP. Bacterial diversity within the equine large intestine as revealed by molecular analysis of cloned 16S rRNA genes. FEMS Microbiol Ecol 2001;38:141-51. https://doi.org/10.1111/j.1574-6941.2001.tb00892.x
  25. Matsui H, Kato Y, Chikaraishi T, et al. Microbial diversity in ostrich ceca as revealed by 16S ribosomal RNA gene clone library and detection of novel Fibrobacter species. Anaerobe 2010;16:83-93. https://doi.org/10.1016/j.anaerobe.2009.07.005
  26. Scheppach W, Luehrs H, Menzel T. Beneficial health effects of low-digestible carbohydrate consumption. Br J Nutr 2001;85:S23-30. https://doi.org/10.1079/BJN2000220
  27. von Rosenvinge EC, Song Y, White JR, et al. Immune status, antibiotic medication and pH are associated with changes in the stomach fliud microbiota. ISME J 2013;7:1354-66. https://doi.org/10.1038/ismej.2013.33
  28. Backhed F, Ding H, Wang T, et al. The gut microbiota as an environmental factor that regulates fat storage. Am J Clin Nutr 2004;101:15718-23.
  29. Stappenbeck TS, Hooper LV, Gordon JI. Developmental regulation of intestinal angiogenesis by indigenous microbes via paneth cells. Proc Natl Acad Sci USA. 2002;99:15451-5. https://doi.org/10.1073/pnas.202604299
  30. Sears CL. A dynamic partnership: celebrating our gut flora. Anaerobe 2005;11:247-51. https://doi.org/10.1016/j.anaerobe.2005.05.001

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