Literature DB >> 15998122

Potential application of ribosomal intergenic spacer analysis to the microbial community analysis of agronomic products.

Seishi Ikeda1, Tatsuhito Fujimura, Nozomi Ytow.   

Abstract

Ribosomal intergenic spacer analysis (RISA) has been applied to the microbial community analysis of agronomic products in combination with a simple and rapid DNA extraction method, consisting of a one-step extraction and two-step purification, for a variety of agronomic products. RISA appears to be a useful tool for the study of the community structures of food-associated microbes and their use as a unique fingerprinting signature for each agronomic product. Sequencing analyses of amplicons generated from RISA suggest that this method can detect conventional microbes. In the case of RISA of wasabi paste DNA, the sequences of the amplicons showed high similarity to the plant pathogen Xanthomonas campestris and the soil bacterium Bacillus subtilis, whereas several food-associated bacteria (Lactococcus lactis, Lactococcus raffinolactis, and Lactococcus sakei) were detected using this technique in sausage DNA. Unexpectedly, the sequencing analyses also revealed the presence of several microbes that possessed high similarity to human bacterial pathogens such as Weissella confusa and Yersinia pestis. The results suggest that RISA will be a useful method for routine microbial community analysis in agronomic products.

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Year:  2005        PMID: 15998122     DOI: 10.1021/jf058032z

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  Assessment of the microbial diversity of Chinese Tianshan tibicos by single molecule, real-time sequencing technology.

Authors:  Chenxia Cao; Qiangchuan Hou; Wenyan Hui; Laiyu Kwok; Heping Zhang; Wenyi Zhang
Journal:  Food Sci Biotechnol       Date:  2018-09-03       Impact factor: 2.391

2.  Impact of Soybean Nodulation Phenotypes and Nitrogen Fertilizer Levels on the Rhizosphere Bacterial Community.

Authors:  Hao Wang; Chuntao Gu; Xiaofeng Liu; Chunwei Yang; Wenbin Li; Shaodong Wang
Journal:  Front Microbiol       Date:  2020-05-12       Impact factor: 5.640

  2 in total

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