WANG Wenping, XIONG Yingmei, CHEN Saizhe, et al. Analysis of Bacterial Diversity and Prediction of Phenotype in Rice Wine Koji from Different Regions[J]. Science and Technology of Food Industry, 2021, 42(20): 134−139. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021020035.
Citation: WANG Wenping, XIONG Yingmei, CHEN Saizhe, et al. Analysis of Bacterial Diversity and Prediction of Phenotype in Rice Wine Koji from Different Regions[J]. Science and Technology of Food Industry, 2021, 42(20): 134−139. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021020035.

Analysis of Bacterial Diversity and Prediction of Phenotype in Rice Wine Koji from Different Regions

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  • Received Date: February 04, 2021
  • Available Online: August 18, 2021
  • A rice wine koji collected from Nanning of Guangxi province and Xiaogan of Hubei province were used to sequence its 16S rRNA V3~V4 region based on Illumina Miseq high-throughput sequencing technology, combined with bioinformatics and multivariate statistical methods to analysis the bacterial diversity of rice wine koji in the two regions, while the bacterial taxa phenotypes were predicted. Results showed that, the Shannon index of the bacterial taxa in the rice wine koji from Nanning area was significantly lower than that of the Xiaogan area(P<0.05). Principal coordinate analysis based on weighted UniFrac distances showed a clear separation trend between the samples from the 2 regions in spatial arrangement. Multivariate analysis of variance indicated that the bacterial community structures of the rice wine koji in the 2 regions were significantly different(P<0.05). The bacterial taxa of rice wine koji in Nanning area were mainly Lactobacillus with an average relative abundance of 62.03%, while Weissella was predominant in the Xiaogan area with an average relative abundance of 50.14%. Phenotypic prediction showed that rice wine koji from Nanning area exhibited a significantly higher(P<0.01) abundance of gram-positive bacteria, while a significantly lower(P<0.01) abundance of oxidative stress tolerance, biofilm formation, gram negative, pathogenic potential and facultative anaerobic characteristics. It could be concluded that there were some differences in the bacterial taxa of rice wine koji from different regions.
  • [1]
    伍保龙, 伍时华, 和晶晶, 等. 适合米酒酿造酵母的分离鉴定及葡萄糖发酵特性研究[J]. 食品工业科技,2014,35(17):156−160. [Wu B L, Wu S H, He J J, et al. Isolation, identification and glucose fermentative characterization of high alcohol yield yeast from rice wine starter[J]. Science and Technology of Food Industry,2014,35(17):156−160.
    [2]
    母应春, 姜丽, 苏伟. 应用Illumina高通量测序技术分析3种酒曲中微生物多样性[J]. 食品科学,2019,40(14):115−122. [Mu Y C, Jiang L, Su W. Analysis of microbial diversity in three rice wine kojis by Illumina high-throughput sequencing[J]. Food Science,2019,40(14):115−122. doi: 10.7506/spkx1002-6630-20181030-359
    [3]
    Dung N T P, Rombotus F M, NOTU M J R. Characteristics of some traditional Vietnamese starch-based rice wine fermentation starters(men)[J]. LWT-Food Science and Technology,2007,40(1):130−135. doi: 10.1016/j.lwt.2005.08.004
    [4]
    Cai H, Zhang T, Zhang Q, et al. Microbial diversity and chemical analysis of the starters used in traditional Chinese sweet rice wine[J]. Food Microbiology,2018,73(8):319−326.
    [5]
    蔡海莺, 张婷, 沈灵智, 等. 甜米酒酒曲微生物分离和菌种鉴定[J]. 食品研究与开发,2019,40(24):204−210. [Cai H Y, Zhang T, Shen L Z, et al. Isolation and identification of fungal and bacterial strains from Chinese sweet rice wine starters[J]. Food Research and Development,2019,40(24):204−210.
    [6]
    向凡舒, 刘雪婷, 代程洋, 等. 基于MiSeq高通量测序技术宣恩地区米酒微生物多样性解析[J]. 食品工业科技,2020,41(21):128−132. [Xiang F S, Liu X T, Dai C Y, et al. Analysis of microbial diversity of rice wine in Xuanen Area based on MiSeq high-throughput sequencing technology[J]. Science and Technology of Food Industry,2020,41(21):128−132.
    [7]
    Tang Y, Zhou X, Huang S, et al. Microbial community analysis of different qualities of pickled radishes by Illumina MiSeq sequencing[J]. Journal of Food Safety,2019,39(2):e12596. doi: 10.1111/jfs.12596
    [8]
    Gu J, Liu T, Hou J, et al. Analysis of bacterial diversity and biogenic amines content during the fermentation processing of stinky tofu[J]. Food Research International, 2018, 111(9): 689-698.
    [9]
    Wang Y R, She M N, Liu K L, et al. Evaluation of the bacterial diversity of Inner Mongolian acidic gruel using Illumina MiSeq and PCR-DGGE[J]. Current Microbiology,2020,77(3):434−442. doi: 10.1007/s00284-019-01848-9
    [10]
    Wang Y R, She M N, Guo Z, et al. Determination of fungal diversity of acidic gruel by using culture-dependent and independent methods[J]. Food Science & Nutrition,2020,8(11):5832−5840.
    [11]
    Caporaso, J G, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data[J]. Nature Methods,2010,7(5):335−336. doi: 10.1038/nmeth.f.303
    [12]
    Caporaso J G, Bittinger K, Bushman F D, et al. PyNAST: A flexible tool for aligning sequences to a template alignment[J]. Bioinformatics,2010,26(2):266−267. doi: 10.1093/bioinformatics/btp636
    [13]
    Edgar R C. Search and clustering orders of magnitude faster than BLAST[J]. Bioinformatics,2010,26(19):2460. doi: 10.1093/bioinformatics/btq461
    [14]
    Yilmaz P, Parfrey L W, Yarza, et al. The SILVA and “All-species Living Tree Project (LTP)” taxonomic frameworks[J]. Nucleic Acids Research,2014,42(D1):643−648. doi: 10.1093/nar/gkt1209
    [15]
    Desantis T Z, Hugenholtz P, Larsen N, et al. Greengenes, a chimera-checked 16S r DNA gene database and workbench compatible with ARB[J]. Applied and Environmental Microbiology,2006,72(7):5069−5072. doi: 10.1128/AEM.03006-05
    [16]
    Cole J R, Chai B, Farris R J, et al. The ribosomal database project (RDP-II)[J]. Nucleic Acids Research,2007,35(1):169−172.
    [17]
    Ryu E H, Yang E J, Woo E R, et al. Purification and characterization of antifungal compounds from Lactobacillus plantarum HD1 isolated from kimchi[J]. Food Microbiology,2014,41(8):19−26.
    [18]
    Fang R, Zhou W, Chen Q. Ethyl carbamate regulation and genomic expression of Saccharomyces cerevisiae during mixed-culture yellow rice wine fermentation with Lactobacillus sp[J]. Food Chemistry,2019,292(9):90−97.
    [19]
    Jiao J, Zhang L, Yi H. Isolation and characterization of lactic acid bacteria from fresh Chinese traditional rice wines using denaturing gradient gel electrophoresis[J]. Food Science and Biotechnology,2016,25(1):173−178. doi: 10.1007/s10068-016-0026-6
    [20]
    向凡舒, 邓风, 魏冰倩, 等. 不同来源酒曲酿制米酒中乳酸菌的分离与鉴定[J]. 中国酿造,2019,38(5):67−72. [Xiang F S, Deng F, Wei B Q, et al. Isolation and identification of lactic acid bacteria from rice wine fermented by Jiuqu from different sources[J]. China Brewing,2019,38(5):67−72. doi: 10.11882/j.issn.0254-5071.2019.05.014
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