The initial composition and structure of microbial community determined the yield and quality of Baijiu during the spontaneous fermentation

被引:8
作者
Li, Dongjuan [1 ]
Jia, Fengan [2 ]
Wang, Lingling [1 ]
Chang, Fan [2 ]
机构
[1] North Anhui Hlth Vocat Coll, Suzhou 234000, Peoples R China
[2] Shaanxi Inst Microbiol, Xian 710043, Peoples R China
关键词
Baijiu spontaneous fermentation; Bacterial community; Fungal community; Association network; Biomarkers; FLAVOR; DAQU;
D O I
10.1007/s10123-023-00379-5
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
The microbiota during pit mud fermentation is a crucial factor in Baijiu brewing since it determines the yield and flavor. However, the impact of the microbial community during the initial fermentation stage on Baijiu quality remains uncertain. Herein, high-throughput sequencing was employed to investigate the microbial diversities and distribution during Baijiu fermentation in individual pit mud workshops at both initial and late stages. During the initial fermentation stage, the bacterial community exerted a more pronounced effect on Baijiu quality than the fungal community. And the high-yield pit mud workshop exhibited lower richness and evenness, as well as greater Bray-Curtis dissimilarity during Baijiu fermentation. Lactobacillus was the dominant genus and biomarker in high-yield pit mud, and it constituted the only genus within the bacterial association network during the late fermentation stage. Fungal communities tended to maintain a simple association network with selected core species. Based on the correlation network, Rhizopus and Trichosporon were identified as biomarkers in Baijiu fermentation process. Together, Lactobacillus and Rhizopus could serve as bio-indicators for Baijiu quality during the initial fermentation stage. Therefore, these findings provided novel insights into microbiota interactions during fermentation and the impact of initial microbiota on final Baijiu quality.
引用
收藏
页码:143 / 154
页数:12
相关论文
共 49 条
  • [1] The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update
    Afgan, Enis
    Baker, Dannon
    Batut, Berenice
    van den Beek, Marius
    Bouvier, Dave
    Cech, Martin
    Chilton, John
    Clements, Dave
    Coraor, Nate
    Gruening, Bjoern A.
    Guerler, Aysam
    Hillman-Jackson, Jennifer
    Hiltemann, Saskia
    Jalili, Vahid
    Rasche, Helena
    Soranzo, Nicola
    Goecks, Jeremy
    Taylor, James
    Nekrutenko, Anton
    Blankenberg, Daniel
    [J]. NUCLEIC ACIDS RESEARCH, 2018, 46 (W1) : W537 - W544
  • [2] [Anonymous], 2007, GB/T 10345-2007
  • [3] Bacci Giovanni, 2015, J Genomics, V3, P36, DOI 10.7150/jgen.9204
  • [4] Soil microbial network complexity predicts ecosystem function along elevation gradients on the Tibetan Plateau
    Chen, Wenqing
    Wang, Jianyu
    Chen, Xiang
    Meng, Zexin
    Xu, Ran
    Duoji, Dunzhu
    Zhang, Junhong
    He, Jia
    Wang, Zhengang
    Chen, Jun
    Liu, Kaixi
    Hu, Tianming
    Zhang, Yingjun
    [J]. SOIL BIOLOGY & BIOCHEMISTRY, 2022, 172
  • [5] Novel Methods Using an Arthrobacter sp. to Create Anaerobic Conditions for Biobutanol Production from Sweet Sorghum Juice by Clostridium beijerinckii
    Daengbussadee, Chalida
    Laopaiboon, Lakkana
    Kaewmaneewat, Anuphon
    Sirisantimethakom, Likit
    Laopaiboon, Pattana
    [J]. PROCESSES, 2021, 9 (01) : 1 - 11
  • [6] Associations between species and groups of sites: indices and statistical inference
    De Caceres, Miquel
    Legendre, Pierre
    [J]. ECOLOGY, 2009, 90 (12) : 3566 - 3574
  • [7] MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data
    Dhariwal, Achal
    Chong, Jasmine
    Habib, Salam
    King, Irah L.
    Agellon, Luis B.
    Xia, Jianguo
    [J]. NUCLEIC ACIDS RESEARCH, 2017, 45 (W1) : W180 - W188
  • [8] Changes in Volatile Compounds of Chinese Luzhou-Flavor Liquor during the Fermentation and Distillation Process
    Ding, Xiaofei
    Wu, Chongde
    Huang, Jun
    Zhou, Rongqing
    [J]. JOURNAL OF FOOD SCIENCE, 2015, 80 (11) : C2373 - C2381
  • [9] Updating the 97% identity threshold for 16S ribosomal RNA OTUs
    Edgar, Robert C.
    [J]. BIOINFORMATICS, 2018, 34 (14) : 2371 - 2375
  • [10] Search and clustering orders of magnitude faster than BLAST
    Edgar, Robert C.
    [J]. BIOINFORMATICS, 2010, 26 (19) : 2460 - 2461