Literature DB >> 27713211

Characterization of Interphase Microbial Community in Luzhou-Flavored Liquor Manufacturing Pits of Various Ages by Polyphasic Detection Methods.

Hui Li1,2, Jun Huang1,2, Xinping Liu3, Rongqing Zhou1,2,4, Xiaofei Ding1,2, Qianyin Xiang1,2, Liqiang Zhang1,2, Chongde Wu1,2.   

Abstract

It is vital to understand the changing characteristics of interphase microbial communities and interspecies synergism during the fermentation of Chinese liquors. In this study, microbial communities in the three indispensable phases (pit mud, zaopei, and huangshui) of Luzhou-flavored liquor manufacturing pits and their shifts during cellars use were first investigated by polyphasic culture-independent approaches. The archaeal and eubacterial communities in the three phases were quantitatively assessed by combined phospholipid ether lipids/phospholipid fatty acid analysis and fluorescence in situ hybridization. In addition, qualitative information regarding the microbial community was analyzed by PCR-denaturing gradient gel electrophoresis. Results suggested that the interphase microbial community profiles were quite different, and the proportions of specific microbial groups evolved gradually. Anaerobic bacteria and gram-positive bacteria were dominant and their numbers were higher in pit mud (109 cells/g) than in huangshui (107 cells/ml) and zaopei (107cells/g). Hydrogenotrophic methanogenic archaea were the dominant archaea, and their proportions were virtually unchanged in pit mud (around 65%), whereas they first increased and then decreased in zaopei (59%-82%-47%) and increased with pit age in huangshui (82%-92%). Interactions between microbial communities, especially between eubacteria and methanogens, played a key role in the formation of favorable niches for liquor fermentation. Furthermore, daqu (an essential saccharifying and fermentative agent) and metabolic regulation parameters greatly affected the microbial community.

Entities:  

Keywords:  Microbial community; interphase; pit age; polyphasic detection methods

Year:  2017        PMID: 27713211     DOI: 10.4014/jmb.1605.05036

Source DB:  PubMed          Journal:  J Microbiol Biotechnol        ISSN: 1017-7825            Impact factor:   2.351


  6 in total

1.  Characterizing the interaction relationship of the microbial communities between Zaopei and pit mud disturbing by Daqu.

Authors:  Suqi Chen; Jun Huang; Hui Qin; Rongqing Zhou; Yan Yang; Chuanfeng Qiu; Suyi Zhang
Journal:  Food Sci Biotechnol       Date:  2021-09-02       Impact factor: 3.231

Review 2.  Diversity and Function of Microbial Community in Chinese Strong-Flavor Baijiu Ecosystem: A Review.

Authors:  Wei Zou; Changqing Zhao; Huibo Luo
Journal:  Front Microbiol       Date:  2018-04-09       Impact factor: 5.640

3.  Detection of viable and total fungal community in zaopei of Chinese strong-flavor baijiu using PMA combined with qPCR and HTS based on ITS2 region.

Authors:  Huanming Liu; Guangxun Tan; Qitong Chen; Weiwei Dong; Ping Chen; Kaiyun Cai; Yuanliang Hu; Weiyan Zhang; Nan Peng; Yunxiang Liang; Shumiao Zhao
Journal:  BMC Microbiol       Date:  2021-10-08       Impact factor: 3.605

4.  Effects of Different Daqu on Microbial Community Domestication and Metabolites in Nongxiang Baijiu Brewing Microecosystem.

Authors:  Fengjiao Mao; Jun Huang; Rongqing Zhou; Hui Qin; Suyi Zhang; Xiaobo Cai; Chuanfeng Qiu
Journal:  Front Microbiol       Date:  2022-06-30       Impact factor: 6.064

5.  Characterization of Microbial Diversity and Community Structure in Fermentation Pit Mud of Different Ages for Production of Strong-Aroma Baijiu.

Authors:  Xu-Jia Wang; Hong-Mei Zhu; Zhi-Qiang Ren; Zhi-Guo Huang; Chun-Hui Wei; Jie Deng
Journal:  Pol J Microbiol       Date:  2020

6.  The Depth-Depended Fungal Diversity and Non-depth-Depended Aroma Profiles of Pit Mud for Strong-Flavor Baijiu.

Authors:  Wenchao Cai; Yu'ang Xue; Fengxian Tang; Yurong Wang; Shaoyong Yang; Wenhui Liu; Qiangchuan Hou; Xinquan Yang; Zhuang Guo; Chunhui Shan
Journal:  Front Microbiol       Date:  2022-01-06       Impact factor: 5.640

  6 in total

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