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Journal of Integrative Agriculture  2013, Vol. 12 Issue (12): 2229-2234    DOI: 10.1016/S2095-3119(13)60381-0
Animal Science · Veterinary Science Advanced Online Publication | Current Issue | Archive | Adv Search |
Yeast-Derived β-1,3-Glucan Substrate Significantly Increased the Diversity of Methanogens During In vitro Fermentation of Porcine Colonic Digesta
 LUO Yu-heng, LI Hua, LUO Jun-qiu , ZHANG Ke-ying
Key Laboratory for Animal Disease-Resistance Nutrition of Sichuan Province and China Ministry of Education/Institute of Animal Nutrition, Sichuan Agricultural University, Ya’an 625014, P.R.China
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摘要  The β-1,3-glucan from yeast has been extensively examined for its immuno-enhancing effects in animals. However, investigation on the relationship among β-glucan, gut microbiota and immune-modulating effects remains limited particularly in pigs. Considering the critical roles of gut methanogens in the microbial fermentation, energy metabolism and disease resistance, we investigated the phylogenetic diversity of methanogens from fermented cultures of porcine colonic digesta with (G) or without (N) yeast β-glucan based on sequences of the archaeal 16S rRNA gene. A total of 145 sequences in the G library were assigned into 8 operational taxonomic units (OTUs) with the majority of sequences (114/145) related to strains Methanobrevibacter millerae or Methanobrevibacter gottschalkii with high identities ranging from 97.9 to 98.6%, followed by 23 sequences to Methanobrevibacter ruminantium, 2 sequences to Methanobrevibacter smithii and one sequence to Methanobrevibacter wolinii. The 142 sequences in the N library were assigned to 2 OTUs with most sequences (127/142) related to strains M. millerae or M. gottschalkii with sequence identities ranging from 97.9 to 98.5%, and 15 sequences related to M. gottschalkii with 97.9% identity. Shannon diversity index showed that the G library exhibited significantly higher archaeal diversity (P<0.05) and Libshuff analysis indicated the differences in the community structure between the two libraries were significant (P<0.0001). In conclusion, the current study provides evidence that addition of yeast β-glucan significantly increased the diversity of methanogens in in vitro fermented porcine colonic digesta.

Abstract  The β-1,3-glucan from yeast has been extensively examined for its immuno-enhancing effects in animals. However, investigation on the relationship among β-glucan, gut microbiota and immune-modulating effects remains limited particularly in pigs. Considering the critical roles of gut methanogens in the microbial fermentation, energy metabolism and disease resistance, we investigated the phylogenetic diversity of methanogens from fermented cultures of porcine colonic digesta with (G) or without (N) yeast β-glucan based on sequences of the archaeal 16S rRNA gene. A total of 145 sequences in the G library were assigned into 8 operational taxonomic units (OTUs) with the majority of sequences (114/145) related to strains Methanobrevibacter millerae or Methanobrevibacter gottschalkii with high identities ranging from 97.9 to 98.6%, followed by 23 sequences to Methanobrevibacter ruminantium, 2 sequences to Methanobrevibacter smithii and one sequence to Methanobrevibacter wolinii. The 142 sequences in the N library were assigned to 2 OTUs with most sequences (127/142) related to strains M. millerae or M. gottschalkii with sequence identities ranging from 97.9 to 98.5%, and 15 sequences related to M. gottschalkii with 97.9% identity. Shannon diversity index showed that the G library exhibited significantly higher archaeal diversity (P<0.05) and Libshuff analysis indicated the differences in the community structure between the two libraries were significant (P<0.0001). In conclusion, the current study provides evidence that addition of yeast β-glucan significantly increased the diversity of methanogens in in vitro fermented porcine colonic digesta.
Keywords:  β-glucan       methanogen       diversity       pig       colonic digesta       in vitro  
Received: 25 September 2012   Accepted:
Fund: 

This work was supported by the Young Scientist Fund of Department of Education of Sichuan Province, China (112A081).

Corresponding Authors:  LUO Yu-heng, Tel: +86-835-2885269, E-mail: luoluo212@126.com   

Cite this article: 

LUO Yu-heng, LI Hua, LUO Jun-qiu , ZHANG Ke-ying. 2013. Yeast-Derived β-1,3-Glucan Substrate Significantly Increased the Diversity of Methanogens During In vitro Fermentation of Porcine Colonic Digesta. Journal of Integrative Agriculture, 12(12): 2229-2234.

[1]Altschul S F, Madden T L, Schäffer A A, Zhang J, Zhang Z,Miller W, Lipman D J. 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database searchprograms. Nucleic Acids Research, 25, 3389-3402

[2]Bäckhed F, Ley R E, Sonnenburg J L, Peterson D A, Gordon J I. 2005. Host-bacterial mutualism in the human intestine. Science, 307, 1915-1920

[3]Chen M, Wolin M. 1979. Effect of monensin and lasalocid- sodium on the growth of methanogenic and rumen saccharolytic bacteria. Applied and Environmental Microbiology, 38, 72-77

[4]Christophersen C T, Wright A D G, Vercoe P E. 2008. In vitro methane emission and acetate: propionate ratio are decreased when artificial stimulation of the rumen wall is combined with increasing grain diets in sheep. Journal of Animal Science, 86, 384-389

[5]Dritz S, Shi J, Kielian T, Goodband R, Nelssen J, Tokach M, Chengappa M, Smith J, Blecha F. 1995. Influence of dietary β-glucan on growth performance, nonspecific immunity, and resistance to Streptococcus suis infection in weanling pigs. Journal of Animal Science, 73, 3341- 3350.

[6]Ewaschuk J, Johnson I, Madsen K, Vasanthan T, Ball R, Field C. 2012. Barley-derived β-glucans increases gut permeability, ex vivo epithelial cell binding to E. coli, and naive T-cell proportions in weanling pigs. Journal of Animal Science, 90, 2652-2662

[7]Felsenstein J. 2004. PHYLIP (Phylogeny Inference Package) Documentation Files. version 3.62c. Department of Genetics, University of Washington, Seattle, Washington. Good I J. 1953. The population frequencies of species and the estimation of population parameters. Biometrika, 40, 237-264

[8]King E E, Smith R P, St-Pierre B, Wright A D G. 2011. Differences in the rumen methanogen populations of lactating Jersey and Holstein dairy cows under the same diet regimen. Applied and Environmental Microbiology, 77, 5682-5687

[9]Lee J N, Lee D Y, Ji I H, Kim G E, Kim H N, Sohn J, Kim S, Kim C W. 2001. Purification of soluble β-glucan with immune-enhancing activity from the cell wall of yeast. Bioscience, Biotechnology, and Biochemistry, 65, 837- 841.

[10]Li J, Li D, Xing J, Cheng Z, Lai C. 2006. Effects of β-glucan extracted from Saccharomyces cerevisiae on growth performance, and immunological and somatotropic responses of pigs challenged with Escherichia coli lipopolysaccharide. Journal of Animal Science, 84, 2374-2381

[11]Luo Y, Su Y, Zhang L, Smidt H, Zhu W. 2012. Lean breed landrace pigs harbor fecal methanogens at higher diversity and density than obese breed Erhualian pigs. Archaea, doi: 10.1155/2012/605289

[12]Mao S Y, Yang C F, Zhu W Y. 2011. Phylogenetic analysis of methanogens in the pig feces. Current Microbiology, 62, 1386-1389

[13]Pei C X, Mao S Y, Cheng Y F, Zhu W Y. 2010. Diversity, abundance and novel 16S rRNA gene sequences of methanogens in rumen liquid, solid and epithelium fractions of Jinnan cattle. Animal, 4, 20-29

[14]Pimentel M, Gunsalus R P, Rao S S C, Zhang H. 2012. Meth an ogens in human health and disease. The American Journal of Gastroenterology Supplements, 1, 28-33

[15]Samuel B S, Gordon J I. 2006. A humanized gnotobiotic mouse model of host-archaeal-bacterial mutualism. Proceedings of the National Academy of Sciences of the United States of America, 103, 10011-10016

[16]Wanapat M, Pilajun R, Kongmun P. 2009. Ruminal ecology of swamp buffalo as influenced by dietary sources. Animal Feed Science and Technology, 151, 205-214

[17]Wright A D G, Auckland C H, Lynn D H. 2007. Molecular diversity of methanogens in feedlot cattle from Ontario and Prince Edward Island, Canada. Applied and Environmental Microbiology, 73, 4206-4210

[18]Wright A D G, Kennedy P, O’Neill C J, Toovey A F, Popovski S, Rea S M, Pimm C L, Klein L. 2004. Reducing methane emissions in sheep by immunization against rumen methanogens. Vaccine, 22, 3976-3985

[19]Wright A D G, Northwood K S, Obispo N E. 2009. Rumen-like methanogens identified from the crop of the folivorous South American bird, the hoatzin (Opisthocomus hoazin). The ISME Journal, 3, 1120- 1126. Wright A D G, Pimm C L. 2003. Improved strategy for presumptive identification of methanogens using 16S riboprinting. Journal of Microbiological Methods, 55, 337-349

[20]Wright A D G, Toovey A F, Pimm C L. 2006. Molecular identification of methanogenic archaea from sheep in Queensland, Australia reveal more uncultured novel archaea. Anaerobe, 12, 134-139

[21]Yokoyama M, Carlson J, Holdeman L. 1977. Isolation and characteristics of a skatole-producing Lactobacillus sp. from the bovine rumen. Applied and Environmental Microbiology, 34, 837-842

[22]Zheng X, Xia Y. 2011. β-1,3-Glucan recognition protein (βGRP) is essential for resistance against fungal pathogen and opportunistic pathogenic gut bacteria in Locusta migratoria manilensis

[23]Developmental & Comparative Immunology, 36, 602-609

[24]Zhou M, Hernandez-Sanabria E, Guan L L. 2010. Characterization of variation in rumen methanogenic communities under different dietary and host feed efficiency conditions, as determined by PCR-denaturing gradient gel electrophoresis analysis. Applied and Environmental Microbiology, 76, 3776-3786

[25]Zoetendal E G, Akkermans A D, de Vos W M. 1998. Temperature gradient gel electrophoresis analysis of 16S rRNA from human fecal samples reveals stable and host-specific communities of active bacteria. Applied and Environmental Microbiology, 64, 3854-3859
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