Unraveling the correlations between microbial communities and metabolic profiles of strong-flavor Jinhui Daqu with different storage periods

被引:3
作者
Ren, Haiwei [1 ,2 ,3 ]
Sun, Yifan [1 ,2 ,3 ]
Yang, Yefei [1 ]
Li, Yunfan [1 ]
Guo, Xiaopeng [1 ]
Zhang, Bingyun [1 ]
Zhao, Hongyuan [1 ,2 ,3 ]
Ma, Donglin [4 ]
Zhang, Zhiliang [5 ]
机构
[1] Lanzhou Univ Technol, Sch Life Sci & Engn, 287 Langongping Rd, Lanzhou 730050, Gansu, Peoples R China
[2] China Northwest Collaborat Innovat Ctr Low Carbon, 287 Langongping Rd, Lanzhou 730050, Gansu, Peoples R China
[3] MOE, 287 Langongping Rd, Lanzhou 730050, Gansu, Peoples R China
[4] Guangdong Ocean Univ, Key Lab Adv Proc Aquat Prod, Guangdong Prov Engn Technol Res Ctr Seafood, Coll Food Sci & Technol,Guangdong Prov Key Lab Aqu, Zhanjiang 524088, Guangdong, Peoples R China
[5] Jinhui Liquor Co Ltd, Longnan 742300, Gansu, Peoples R China
基金
中国国家自然科学基金;
关键词
Strong -flavor Daqu; Storage period; Physicochemical indices; Microbial diversity; Metabolomics; Structural equation model; DYNAMIC SUCCESSION; FERMENTATION; LIQUOR; DIVERSITY; MICROORGANISMS; ACID;
D O I
10.1016/j.fm.2024.104497
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Daqu is a saccharification agent required for fermenting Baijiu, a popular Chinese liquor. Our objective was to investigate the relationships between physicochemical indices, microbial community diversity, and metabolite profiles of strong-flavor Jinhui Daqu during different storage periods. During different storage periods of Jinhui Daqu, we combined Illumina MiSeq sequencing and non-target sequencing techniques to analyze dynamic changes of the microbial community and metabolite composition, established a symbiotic network and explored the correlation between dominant microorganisms and differential metabolites in Daqu. Fungal community diversity in 8d_Daqu was higher than that in 45d_Daqu and 90d_Daqu, whereas bacterial community diversity was higher in 90d_Daqu. Twelve bacterial and four fungal genera were dominant during storage of Daqu. Bacillus, Leuconostoc, Kroppenstedtia, Lactococcus, Thermomyces and Wickerhamomyces decreased as the storage period increased. Differences of microbiota structure led to various metabolic pathways, and 993 differential metabolites were found in all Daqu samples. Differential microorganisms were significantly related to key metabolites. Major metabolic pathways involved in the formation of amino acids and lipids, such as L-arogenate and hydroxyproline, were identified. Interactions between moisture, acidity, and microbes may drive the succession of the microbial community, which further affects the formation of metabolites.
引用
收藏
页数:13
相关论文
共 44 条
  • [1] Citric Acid Cycle and Role of its Intermediates in Metabolism
    Akram, Muhammad
    [J]. CELL BIOCHEMISTRY AND BIOPHYSICS, 2014, 68 (03) : 475 - 478
  • [2] Characterization of a fungal thermostable endoglucanase from Chinese Nong-flavor daqu by metatranscriptomic method
    Ali, Barkat
    Yi, Zhuolin
    Fang, Yang
    Chen, Lanchai
    He, Maize
    Liu, Dayu
    Luo, Huibo
    Zhao, Dong
    Zheng, Jia
    He, Hui
    Jin, Yanling
    Zhao, Hai
    [J]. INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2019, 121 : 183 - 190
  • [3] Keystone taxa as drivers of microbiome structure and functioning
    Banerjee, Samiran
    Schlaeppi, Klaus
    van der Heijden, Marcel G. A.
    [J]. NATURE REVIEWS MICROBIOLOGY, 2018, 16 (09) : 567 - 576
  • [4] Citric acid fromAspergillus niger: a comprehensive overview
    Behera, Bikash Chandra
    [J]. CRITICAL REVIEWS IN MICROBIOLOGY, 2020, 46 (06) : 727 - 749
  • [5] Trimmomatic: a flexible trimmer for Illumina sequence data
    Bolger, Anthony M.
    Lohse, Marc
    Usadel, Bjoern
    [J]. BIOINFORMATICS, 2014, 30 (15) : 2114 - 2120
  • [6] Exploring the impacts of raw materials and environments on the microbiota in Chinese Daqu starter
    Du, Hai
    Wang, Xueshan
    Zhang, Yuhang
    Xu, Yan
    [J]. INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, 2019, 297 : 32 - 40
  • [7] UCHIME improves sensitivity and speed of chimera detection
    Edgar, Robert C.
    Haas, Brian J.
    Clemente, Jose C.
    Quince, Christopher
    Knight, Rob
    [J]. BIOINFORMATICS, 2011, 27 (16) : 2194 - 2200
  • [8] Characterization of Key Odorants in Chinese Chixiang Aroma-Type Liquor by Gas Chromatography-Olfactometry, Quantitative Measurements, Aroma Recombination, and Omission Studies
    Fan, Haiyan
    Fan, Wenlai
    Xu, Yan
    [J]. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2015, 63 (14) : 3660 - 3668
  • [9] Analysis of microbial community, physiochemical indices, and volatile compounds of Chinese te-flavor baijiu daqu produced in different seasons
    Fu, Gui-Ming
    Deng, Meng-Fei
    Chen, Yan
    Chen, Yan-Ru
    Wu, Sheng-Wen
    Lin, Pei
    Huang, Bing-Jing
    Liu, Cheng-Mei
    Wan, Yin
    [J]. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2021, 101 (15) : 6525 - 6532
  • [10] Untargeted mass spectrometry-based metabolomics approach unveils molecular changes in raw and processed foods and beverages
    Gauglitz, Julia M.
    Aceves, Christine M.
    Aksenov, Alexander A.
    Aleti, Gajender
    Almaliti, Jehad
    Bouslimani, Amina
    Brown, Elizabeth A.
    Campeau, Anaamika
    Caraballo-Rodriguez, Andres Mauricio
    Chaar, Rama
    da Silva, Ricardo R.
    Demko, Alyssa M.
    Di Ottavio, Francesca
    Elijah, Emmanuel
    Ernst, Madeleine
    Ferguson, L. Paige
    Holmes, Xavier
    Jarmusch, Alan K.
    Jiang, Lingjing
    Kang, Kyo Bin
    Koester, Irina
    Kwan, Brian
    Li, Jie
    Li, Yueying
    Melnik, Alexey, V
    Molina-Santiago, Carlos
    Ni, Bohan
    Oom, Aaron L.
    Panitchpakdi, Morgan W.
    Petras, Daniel
    Quinn, Robert
    Sikora, Nicole
    Spengler, Katharina
    Teke, Bahar
    Tripathi, Anupriya
    Ul-Hasan, Sabah
    van Der Hooft, Justin J. J.
    Vargas, Fernando
    Vrbanac, Alison
    Vu, Anthony Q.
    Wang, Steven C.
    Weldon, Kelly
    Wilson, Kayla
    Wozniak, Jacob M.
    Yoon, Michael
    Bandeira, Nuno
    Dorrestein, Pieter C.
    [J]. FOOD CHEMISTRY, 2020, 302