Analysis of Bacterial Communities on Aging Flue-cured Tobacco Leaves by 16s Rdna Pcr-dgge Technology.
From: College of Life Science, Henan Agricultural University, Zhengzhou, 450002, China.
Applied microbiology and biotechnology
- Publish Date: Jan 2007
- ISSN: 0175-7598
- Volume: 73
- Issue: 6
- Pages: 1435-40
- Medium: Print
- Language: English
- Citation (JAMA): Zhao Mingqin, Wang Baoxiang, Li Fuxin, et al. Analysis of Bacterial Communities on Aging Flue-cured Tobacco Leaves by 16s Rdna Pcr-dgge Technology.. Appl. Microbiol. Biotechnol. Jan 2007;73:1435-40
Abstract
Many microorganisms, growing on aging flue-cured tobacco leaves, play a part in its fermentation process. These microflora were identified and described by culture-dependent methods earlier. In this study we report the identity of the microflora growing on the tobacco leaf surface by employing culture-independent methods. We have amplified microbial 16S rDNA sequences directly from the leaf surface and used denaturing gradient gel electrophoresis (DGGE) to identify bacterial community on the tobacco leaves. Our culture-independent methods for the study of microbial community on tobacco leaves showed that microbial community structures on leaves of variety Zhongyan 100, NC89 and Zhongyan 101 were similar between 0 and 6 months aging, and between 9 and 12 months aging, while the similarity is low between 0 and 6, and between 9 and 12 months aging, respectively. There were certain similarities of bacterial communities (similarity up to 63%) among the three tobacco varieties for 0 to 6 months aging. Five dominant 16S rDNA DGGE bands A, B, C, D and E were isolated, cloned, and sequenced. They were most similar to two cultured microbial species Bacteriovorax sp. EPC3, Bacillus megaterium, and three uncultured microbial species, respectively.
Mesh Headings (Keywords): Bacteria, Biodiversity, DNA, Bacterial, DNA, Ribosomal, Electrophoresis, Plant Leaves, Polymerase Chain Reaction, RNA, Ribosomal, 16S, Time Factors, Tobacco, Tobacco Industry
Check for Full Text / PubMed Unique Identifier (PMID): 17043820
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