1. Microbial Ecology of Watery Kimchi
- Author
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Rodolphe Barrangou, Kyong Ho Kim, Eduardo Medina Pradas, Yong Jae Lee, Kyu Hang Kyung, Jin Joo Choi, Song Gun Kim, Chang Ho Chung, Joo Hyong Cho, and Frederick Breidt
- Subjects
biology ,Chemistry ,food and beverages ,Pathogenic bacteria ,biology.organism_classification ,16S ribosomal RNA ,medicine.disease_cause ,Enterobacteriaceae ,Lactic acid ,chemistry.chemical_compound ,Microbial ecology ,Homolactic fermentation ,medicine ,Fermentation ,Food science ,Bacteria ,Food Science - Abstract
The biochemistry and microbial ecology of 2 similar types of watery (mul) kimchi, containing sliced and unsliced radish and vegetables (nabak and dongchimi, respectively), were investigated. Samples from kimchi were fermented at 4, 10, and 20 °C were analyzed by plating on differential and selective media, high-performance liquid chromatography, and high-throughput DNA sequencing of 16S rDNA. Nabak kimchi showed similar trends as dongchimi, with increasing lactic and acetic acids and decreasing pH for each temperature, but differences in microbiota were apparent. Interestingly, bacteria from the Proteobacterium phylum, including Enterobacteriaceae, decreased more rapidly during fermentation at 4 °C in nabak cabbage fermentations compared with dongchimi. Although changes for Proteobacterium and Enterobacteriaceae populations were similar during fermentation at 10 and 20 °C, the homolactic stage of fermentation did not develop for the 4 and 10 °C samples of both nabak and dongchimi during the experiment. These data show the differences in biochemistry and microbial ecology that can result from preparation method and fermentation conditions of the kimchi, which may impact safety (Enterobacteriaceae populations may include pathogenic bacteria) and quality (homolactic fermentation can be undesirable, if too much acid is produced) of the product. In addition, the data also illustrate the need for improved methods for identifying and differentiating closely related lactic acid bacteria species using high-throughput sequencing methods.
- Published
- 2015
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