Literature DB >> 31950235

High-throughput Sequencing-based Analysis of Microbial Diversity in Rice Wine Koji from Different Areas.

Xinxin Zhao1, Yurong Wang2, Wenchao Cai1, Mingjun Yang1, Xiaodan Zhong3, Zhuang Guo2, Chunhui Shan4.   

Abstract

Rice wine, a traditional fermented alcoholic beverage in China, is produced with grains such as rice, which are fermented with saccharifying starter-koji. Its flavor quality is closely associated to the starter culture-koji, which is made by mixing botanical materials with high-class glutinous rice in certain ecological context. However, there are few reports on the microbial community structure of rice wine koji. In this paper, bacterial community structures of rice wine koji were analyzed using 16S rRNA gene sequencing based on Illumina MiSeq high-throughput technology in 20 samples collected from Xiaogan area, Hubei province and Dazhu area, Sichuan province (10 from each area). We found rice wine koji flora mainly consisted of Weissella, Lactobacillus, Lactococcus, Bacillus, Enterococcus, and Cronobacter, with relative abundances of 29.49%, 10.93%, 8.85%, 4.75%, 1.16% and 1.15%, respectively, as well as an accumulative average relative abundance of 58.71%. They all belonged to Firmicutes and Proteobacteria-the two known dominant genus. Genus-level PCA (Principal component analysis) and OTU-level PCoA (Principal coordinates analysis) based on unweighted UniFrac distances showed that the bacterial community structure differed significantly between the samples from the 2 areas. 7 OTUs were detected in all samples, accounting for 4.4% of the total qualified assembly. Among the 7 OTUs, 3 OTUs were identified as Enterococcus, 2 OTUs were identified as Cronobacter, 1 OTU was identified as Bacillus and 1 OTU was identified as Alkaliphilus. Fifty-eight lactic acid bacteria (LAB) strains were isolated from the 20 koji samples with traditional microbial methods. Among them, Enterococcus faecium and Pediococcus pentosaceus were the dominant LAB isolates, with relative abundances of 51.72% and 31.03%. Despite the differences, a large number of shared bacteria were detected in samples from the two areas.

Entities:  

Year:  2020        PMID: 31950235     DOI: 10.1007/s00284-020-01877-9

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  6 in total

1.  The effects of an innovative pulping technique of synchronously pulping and gelatinizing treatment on raw materials properties, oenological parameters, fermentation process, and flavor characteristics of glutinous rice wine.

Authors:  Wenyou Zhu; Yu Tie; Zhenyu Zhu; Yuxia Yang; Shao Feng; Jun Liu
Journal:  Food Sci Biotechnol       Date:  2022-08-01       Impact factor: 3.231

2.  Microbial succession and exploration of higher alcohols-producing core bacteria in northern Huangjiu fermentation.

Authors:  Yi Yan; Leping Sun; Xuan Xing; Huijun Wu; Xin Lu; Wei Zhang; Jialiang Xu; Qing Ren
Journal:  AMB Express       Date:  2022-06-18       Impact factor: 4.126

3.  Comparison of the Fungal Community, Chemical Composition, Antioxidant Activity, and Taste Characteristics of Fu Brick Tea in Different Regions of China.

Authors:  Yulian Chen; Jiaxu Chen; Ruyang Chen; Leike Xiao; Xing Wu; Lin Hu; Zongjun Li; Yuanliang Wang; Mingzhi Zhu; Zhonghua Liu; Yu Xiao
Journal:  Front Nutr       Date:  2022-05-17

Review 4.  The microbiome of Chinese rice wine (Huangjiu).

Authors:  Shufang Tian; Weizhu Zeng; Fang Fang; Jingwen Zhou; Guocheng Du
Journal:  Curr Res Food Sci       Date:  2022-01-31

5.  Bacterial Diversity, Organic Acid, and Flavor Analysis of Dacha and Ercha Fermented Grains of Fen Flavor Baijiu.

Authors:  Yu'ang Xue; Fengxian Tang; Wenchao Cai; Xinxin Zhao; Wen Song; Ji'an Zhong; Zhongjun Liu; Zhuang Guo; Chunhui Shan
Journal:  Front Microbiol       Date:  2022-01-04       Impact factor: 5.640

6.  Bacterial Communities and Prediction of Microbial Metabolic Pathway in Rice Wine Koji From Different Regions in China.

Authors:  Xinxin Zhao; Fanshu Xiang; Fengxian Tang; Wenchao Cai; Zhuang Guo; Qiangchuan Hou; Xinquan Yang; Wen Song; Chunhui Shan
Journal:  Front Microbiol       Date:  2022-01-03       Impact factor: 5.640

  6 in total

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