ISSN: 0973-7510

E-ISSN: 2581-690X

Yin Hong-mei, Du Dong-xia, Xu Jun, Liu Biao, Wang Sheng-ping and He Yue-lin
Department of Environmental Protection, Hunan Province Microbiology Institute, Changsha, China.
J Pure Appl Microbiol. 2015;9(1):09-16
© The Author(s). 2015
Received: 06/08/2014 | Accepted: 30/10/2014 | Published: 31/03/2015

Deep litter system is widely applied to pig production. The beddings have complex microbial communities which play an important role in fermentation efficiency. To obtain the bacterial community in pig deep litter system, we utilized the traditional culture-dependent method and molecular biology technique. Using plate count method Microbacterium (35.33%) and Arthrobacter (20.30%) were remarkable in total culturable bacteria. By 16S rRNA gene library method, the sequences are mostly distributed in 3 phyla: Proteobacteria (38.40%), Firmicutes (28.18%), Bacteroidetes (16.57%) and affiliated to 10 genera: Clostridium (19.89%), Castellaniella (4.70%), Comamonas (2.76%), Rhodanobacter (2.21%), Acinetobacter (1.38%), Planctomyces (1.38%), Nitrosomonas (1.10%), Devosia (1.10%), Gemmatimonas (1.10%), and Steroidobacter (1.10%). In addition, an Illumina next generation sequencing named MiSeq was used to observe the V4/V5 hypervariable region of 16S rDNA sequence. Proteobacteria, Firmicutes, and Bacteroidetes accounted for 83.7% of all sequences. The 10 genera described above were also presented and new 4 genera were added. Clostridium was increased to 25.5% as the predominant bacteria. The results were consistent with that of 16S rRNA gene library analysis in general. It is the first report which provides information on bedding microbiota in pig deep litter system taking advantage of culture and culture-independent approaches.


Bacteria community, Deep litter system, MiSeq, 16S rRNA gene

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© The Author(s) 2015. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.