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Publishing Language: Chinese | Open Access

Analysis of Foodborne Pathogenic Bacteria in Rice Noodles by High-throughput 16S rDNA Sequencing

Yi WU , Lulu LIU, Yongmin WU, Shiqiong DAI, Ying SHANG, Jianxin CAO ( ), Peng HAN ( )
Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
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Abstract

In order to understand foodborne pathogen contamination in rice noodles, the temporal trend in the bacterial flora structure in rice noodles from raw material to table was investigated. High-throughput 16S rDNA sequencing was used to analyze the bacterial community in ten rice noodle samples. The results showed that the sequencing data were annotated into 5 phyla, 11 classes, 19 orders, 24 families and 29 genera. Also, it was found that the relative abundance of Proteobacteria was more than 50% in all samples, followed by Firmicutes. Salmonella and Bacillus were found in all samples. Staphylococcus, Escherichia and Listeria were found in the raw materials and final products. Bacillus cereus and Salmonella were detected in each sample. Staphylococcus aureus, Escherichia coli O157:H7 and Listeria monocytogenes were also detected in the raw materials and products, suggesting that there is a safety risk on the consumption of rice noodles.

CLC number: TS207.4 Document code: A Article ID: 1002-6630(2022)06-0347-06

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Food Science
Pages 347-352

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Cite this article:
WU Y, LIU L, WU Y, et al. Analysis of Foodborne Pathogenic Bacteria in Rice Noodles by High-throughput 16S rDNA Sequencing. Food Science, 2022, 43(6): 347-352. https://doi.org/10.7506/spkx1002-6630-20210115-165

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Received: 15 January 2021
Published: 25 March 2022
© Beijing Academy of Food Sciences 2022.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).