Quantitative metaproteomics reveals composition and metabolism characteristics of microbial communities in Chinese liquor fermentation starters

Jinzhi Zhao, Yi Yang, Liangqiang Chen, Jianxujie Zheng, Xibin Lv, Dandan Li, Ziyu Fang, Chengpin Shen, Vijini Mallawaarachchi, Yu Lin, Shaoning Yu, Fan Yang, Li Wang, Liang Qiao

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
114 Downloads (Pure)

Abstract

Introduction: Daqu, the Chinese liquor fermentation starter, contains complex microbial communities that are important for the yield, quality, and unique flavor of produced liquor. However, the composition and metabolism of microbial communities in the different types of high-temperature Daqu (i.e., white, yellow, and black Daqu) have not been well understood. 

Methods: Herein, we used quantitative metaproteomics based on data-independent acquisition (DIA) mass spectrometry to analyze a total of 90 samples of white, yellow, and black Daqu collected in spring, summer, and autumn, revealing the taxonomic and metabolic profiles of different types of Daqu across seasons.

Results: Taxonomic composition differences were explored across types of Daqu and seasons, where the under-fermented white Daqu showed the higher microbial diversity and seasonal stability. It was demonstrated that yellow Daqu had higher abundance of saccharifying enzymes for raw material degradation. In addition, considerable seasonal variation of microbial protein abundance was discovered in the over-fermented black Daqu, suggesting elevated carbohydrate and amino acid metabolism in autumn black Daqu. 

Discussion: We expect that this study will facilitate the understanding of the key microbes and their metabolism in the traditional fermentation process of Chinese liquor production.

Original languageEnglish
Article number1098268
Number of pages12
JournalFrontiers in Microbiology
Volume13
DOIs
Publication statusPublished - 9 Jan 2023
Externally publishedYes

Keywords

  • Chinese liquor
  • Daqu
  • data-independent acquisition
  • microbial community
  • quantitative metaproteomics

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