Literature DB >> 28970229

Synergistic Effect in Core Microbiota Associated with Sulfur Metabolism in Spontaneous Chinese Liquor Fermentation.

Jun Liu1,2, Qun Wu3,2, Peng Wang1,2, Jianchun Lin1,2, Ling Huang1,2, Yan Xu3,2.   

Abstract

Microbial sulfur metabolism plays crucial roles in various food and alcoholic beverage fermentations. 3-(Methylthio)-1-propanol and dimethyl disulfide are important sulfur compounds in fermented foods and alcoholic beverages. Here, we studied the dynamics of these two compounds during spontaneous Chinese liquor fermentation. The two compounds reached the maximum concentration at day 10 and the maximum production rate at day 3. Metatranscriptomic analysis at days 3 and 10 revealed a total of 354 metabolically active microorganisms. Saccharomyces and Lactobacillus were identified as core microbiota critical for sulfur compound production based on both the transcript abundances of the principal genes and the distribution frequencies of 31 enzymes involved in sulfur metabolism. Saccharomyces transcribed genes encoding 23 enzymes related to the generation of 3-(methylthio)-1-propanol and dimethyl disulfide, and Lactobacillus was active in the methyl cycle, which recycles methionine, the precursor of the two sulfur compounds. Furthermore, the sulfur metabolism-related characteristics of two representative species were studied in coculture during a simulated fermentation. Saccharomyces cerevisiae JZ109 produced 158.4 μg/liter 3-(methylthio)-1-propanol and 58.5 μg/liter dimethyl disulfide in monoculture, whereas Lactobacillus buchneri JZ-JN-2017 could not produce these two compounds in monoculture. Their coculture significantly enhanced the generation of 3-(methylthio)-1-propanol (350.0 μg/liter) and dimethyl disulfide (123.8 μg/liter). In addition, coculture significantly enhanced the gene transcriptions (fold change, 1.5 to ∼55.0) that convert methionine to these two compounds in S. cerevisiae and in the methyl cycle of L. buchneri This study reveals a novel synergistic effect between members of the core microbiota in the production of sulfur compounds via methionine recycling in spontaneous Chinese liquor fermentation.IMPORTANCE Sulfur compounds play a crucial role in the aroma quality of various fermented foods and alcoholic beverages. However, it is unclear how these compounds are produced by microbes during their spontaneous fermentations. Here, we identified the core microbiota (Saccharomyces and Lactobacillus) associated with sulfur metabolism by determining both transcript abundance and distribution frequency of each genus in spontaneous Chinese liquor fermentation. This study provides a system-level analysis of sulfur metabolism by the metatranscriptomic analysis and culture-dependent methods. It sheds new light on how the metabolic behavior of the microbiota contributes to the liquor aroma quality. Furthermore, this work reveals a novel synergistic effect between Saccharomyces and Lactobacillus in the production of sulfur compounds, in which Lactobacillus regenerates the precursor methionine for sulfur compound production by Saccharomyces Our findings can contribute to the enhancement of aroma characteristics in Chinese liquor and open new avenues for improving various food and alcoholic beverage fermentation processes.
Copyright © 2017 American Society for Microbiology.

Entities:  

Keywords:  Chinese liquor; core microbiota; metatranscriptomic; microbial interaction; sulfur metabolism; synergistic effect

Mesh:

Substances:

Year:  2017        PMID: 28970229      PMCID: PMC5717201          DOI: 10.1128/AEM.01475-17

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  46 in total

1.  Polyphasic microbial community analysis of petroleum hydrocarbon-contaminated soils from two northern Canadian communities.

Authors: 
Journal:  FEMS Microbiol Ecol       Date:  2000-09-01       Impact factor: 4.194

2.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

Review 3.  Comparative genomics of enzymes in flavor-forming pathways from amino acids in lactic acid bacteria.

Authors:  Mengjin Liu; Arjen Nauta; Christof Francke; Roland J Siezen
Journal:  Appl Environ Microbiol       Date:  2008-06-06       Impact factor: 4.792

4.  Illuminating Anaerobic Microbial Community and Cooccurrence Patterns across a Quality Gradient in Chinese Liquor Fermentation Pit Muds.

Authors:  Xiaolong Hu; Hai Du; Cong Ren; Yan Xu
Journal:  Appl Environ Microbiol       Date:  2016-04-04       Impact factor: 4.792

5.  Methionine-to-cysteine recycling in Klebsiella aerogenes.

Authors:  T A Seiflein; J G Lawrence
Journal:  J Bacteriol       Date:  2001-01       Impact factor: 3.490

6.  Characterization of the yeast ecosystem in grape must and wine using real-time PCR.

Authors:  K Zott; O Claisse; P Lucas; J Coulon; A Lonvaud-Funel; I Masneuf-Pomarede
Journal:  Food Microbiol       Date:  2010-02-01       Impact factor: 5.516

7.  Improving flavor metabolism of Saccharomyces cerevisiae by mixed culture with Bacillus licheniformis for Chinese Maotai-flavor liquor making.

Authors:  Xing Meng; Qun Wu; Li Wang; Diqiang Wang; Liangqiang Chen; Yan Xu
Journal:  J Ind Microbiol Biotechnol       Date:  2015-09-01       Impact factor: 3.346

8.  Metatranscriptomics reveals temperature-driven functional changes in microbiome impacting cheese maturation rate.

Authors:  Francesca De Filippis; Alessandro Genovese; Pasquale Ferranti; Jack A Gilbert; Danilo Ercolini
Journal:  Sci Rep       Date:  2016-02-25       Impact factor: 4.379

9.  Metatranscriptomic analysis of diverse microbial communities reveals core metabolic pathways and microbiome-specific functionality.

Authors:  Yue Jiang; Xuejian Xiong; Jayne Danska; John Parkinson
Journal:  Microbiome       Date:  2016-01-12       Impact factor: 14.650

10.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

View more
  10 in total

1.  Construction of Synthetic Microbiota for Reproducible Flavor Compound Metabolism in Chinese Light-Aroma-Type Liquor Produced by Solid-State Fermentation.

Authors:  Shilei Wang; Qun Wu; Yao Nie; Jianfeng Wu; Yan Xu
Journal:  Appl Environ Microbiol       Date:  2019-05-02       Impact factor: 4.792

2.  Synergistic Effect of Multiple Saccharifying Enzymes on Alcoholic Fermentation for Chinese Baijiu Production.

Authors:  Bowen Wang; Qun Wu; Yan Xu; Baoguo Sun
Journal:  Appl Environ Microbiol       Date:  2020-04-01       Impact factor: 4.792

3.  Analysis of microbial diversity and succession during Xiaoqu Baijiu fermentation using high-throughput sequencing technology.

Authors:  Qing Wang; ChaoYan Wang; XiaoQing Xiang; HaiLin Xu; GuoQiang Han
Journal:  Eng Life Sci       Date:  2022-06-14       Impact factor: 3.405

Review 4.  Interaction and Application of Molds and Yeasts in Chinese Fermented Foods.

Authors:  Qilin Yang; Hongli Yao; Shuangping Liu; Jian Mao
Journal:  Front Microbiol       Date:  2022-04-08       Impact factor: 5.640

Review 5.  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

6.  Specific Volumetric Weight-Driven Shift in Microbiota Compositions With Saccharifying Activity Change in Starter for Chinese Baijiu Fermentation.

Authors:  Bowen Wang; Qun Wu; Yan Xu; Baoguo Sun
Journal:  Front Microbiol       Date:  2018-09-28       Impact factor: 5.640

7.  Zooming in on Butyrate-Producing Clostridial Consortia in the Fermented Grains of Baijiu via Gene Sequence-Guided Microbial Isolation.

Authors:  Li-Juan Chai; Zhen-Ming Lu; Xiao-Juan Zhang; Jian Ma; Peng-Xiang Xu; Wei Qian; Chen Xiao; Song-Tao Wang; Cai-Hong Shen; Jin-Song Shi; Xu Zheng-Hong
Journal:  Front Microbiol       Date:  2019-06-21       Impact factor: 5.640

8.  Gradient Internal Standard Method for Absolute Quantification of Microbial Amplicon Sequencing Data.

Authors:  Shilei Wang; Qun Wu; Ying Han; Rubing Du; Xiaoyong Wang; Yao Nie; Xiaowei Du; Yan Xu
Journal:  mSystems       Date:  2021-01-12       Impact factor: 6.496

9.  Deciphering Succession and Assembly Patterns of Microbial Communities in a Two-Stage Solid-State Fermentation System.

Authors:  Dengjin Shen; Hongye Shen; Qiang Yang; Shenxi Chen; Yaohao Dun; Yunxiang Liang; Jinshui Zheng; Shumiao Zhao
Journal:  Microbiol Spectr       Date:  2021-09-22

Review 10.  Effect of microbial interaction on flavor quality in Chinese baijiu fermentation.

Authors:  Lei Gao; Jian Zhou; Guiqiang He
Journal:  Front Nutr       Date:  2022-08-03
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.