2016GenetikaOpen access

Diversity of methane-producing microbial community structure with 16S-V3 rDNA PCR-DGGE

Na Wang, Hong Wang, Huiying Liu, Muhammad Irfan, Shiwei Niu, Yang Tao

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Abstract

The method of 16S-V3 rDNA PCR-DGGE was utilized to study the diversity of methane-producing microbial community structure under different methane-producing microbial community structure. Results showed that community structure of the methanogens under different environmental condition was significantly different. The number of bands about community under extreme condition was less than normal conditions, but the main bands were obvious. The sequence analysis showed that the predominant strains mainly were uncultured bacteria that could not be identified in the level of species .Z2 was Clostridia, Z8 was Clostridiales, D5 was Eubacteriaceae, and D8 was Flavobacteriaceae. This study laid some extent foundation for future research about establishing a methane-producing bacterial system with high gas yield in winter.

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The method of 16S-V3 rDNA PCR-DGGE was utilized to study the diversity of methane-producing microbial community structure under different methane-producing microbial community structure. Results showed that community structure of the methanogens under different environmental condition was significantly different. The number of bands about community under extreme condition was less than normal conditions, but the main bands were obvious. The sequence analysis showed that the predominant strains mainly were uncultured bacteria that could not be identified in the level of species .Z2 was Clostridia, Z8 was Clostridiales, D5 was Eubacteriaceae, and D8 was Flavobacteriaceae. This study laid some extent foundation for future research about establishing a methane-producing bacterial system with high gas yield in winter.

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Available abstract

The method of 16S-V3 rDNA PCR-DGGE was utilized to study the diversity of methane-producing microbial community structure under different methane-producing microbial community structure. Results showed that community structure of the methanogens under different environmental condition was significantly different. The number of bands about community under extreme condition was less than normal conditions, but the main bands were obvious. The sequence analysis showed that the predominant strains mainly were uncultured bacteria that could not be identified in the level of species .Z2 was Clostridia, Z8 was Clostridiales, D5 was Eubacteriaceae, and D8 was Flavobacteriaceae. This study laid some extent foundation for future research about establishing a methane-producing bacterial system with high gas yield in winter.

Key concepts: Clostridiales, Clostridia, Community structure, Microbial population biology, Biology, 16S ribosomal RNA, Methane, Clostridiaceae

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