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Ren H, Sun Y, Yang Y, Li Y, Guo X, Zhang B, Zhao H, Ma D, Zhang Z. Unraveling the correlations between microbial communities and metabolic profiles of strong-flavor Jinhui Daqu with different storage periods. Food Microbiol 2024; 121:104497. [PMID: 38637068 DOI: 10.1016/j.fm.2024.104497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/04/2024] [Accepted: 02/19/2024] [Indexed: 04/20/2024]
Abstract
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.
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Affiliation(s)
- Haiwei Ren
- School of Life Science and Engineering, Lanzhou University of Technology, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China; China Northwest Collaborative Innovation Center of Low-carbon Urbanization Technologies of Gansu and MOE, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China
| | - Yifan Sun
- School of Life Science and Engineering, Lanzhou University of Technology, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China; China Northwest Collaborative Innovation Center of Low-carbon Urbanization Technologies of Gansu and MOE, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China
| | - Yefei Yang
- School of Life Science and Engineering, Lanzhou University of Technology, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China
| | - Yunfan Li
- School of Life Science and Engineering, Lanzhou University of Technology, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China
| | - Xiaopeng Guo
- School of Life Science and Engineering, Lanzhou University of Technology, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China.
| | - Bingyun Zhang
- School of Life Science and Engineering, Lanzhou University of Technology, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China
| | - Hongyuan Zhao
- School of Life Science and Engineering, Lanzhou University of Technology, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China; China Northwest Collaborative Innovation Center of Low-carbon Urbanization Technologies of Gansu and MOE, 287 Langongping Road, Lanzhou, Gansu Province, 730050, PR China
| | - Donglin Ma
- College of Food Science and Technology, Guangdong Ocean University, Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, Guangdong Province Engineering Laboratory for Marine Biological Products, Guangdong Provincial Engineering Technology Research Center of Seafood, Key Laboratory of Advanced Processing of Aquatic Product of Guangdong Higher Education Institution, Zhanjiang, Guangdong Province, 524088, PR China.
| | - Zhiliang Zhang
- Jinhui Liquor Co. Ltd., Longnan, Gansu Province, 742300, PR China
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Kang J, Huang X, Li R, Zhang Y, Chen XX, Han BZ. Deciphering the core microbes and their interactions in spontaneous Baijiu fermentation: A comprehensive review. Food Res Int 2024; 188:114497. [PMID: 38823877 DOI: 10.1016/j.foodres.2024.114497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/29/2024] [Accepted: 05/07/2024] [Indexed: 06/03/2024]
Abstract
The spontaneous Baijiu fermentation system harbors a complex microbiome that is highly dynamic in time and space and varies depending on the Jiuqu starters and environmental factors. The intricate microbiota presents in the fermentation environment is responsible for carrying out various reactions. These reactions necessitate the interaction among the core microbes to influence the community function, ultimately shaping the distinct Baijiu styles through the process of spontaneous fermentation. Numerous studies have been conducted to enhance our understanding of the diversity, succession, and function of microbial communities with the aim of improving fermentation manipulation. However, a comprehensive and critical assessment of the core microbes and their interaction remains one of the significant challenges in the Baijiu fermentation industry. This paper focuses on the fermentation properties of core microbes. We discuss the state of the art of microbial traceability, highlighting the crucial role of environmental and starter microbiota in the Baijiu brewing microbiome. Also, we discuss the various interactions between microbes in the Baijiu production system and propose a potential conceptual framework that involves constructing predictive network models to simplify and quantify microbial interactions using co-culture models. This approach offers effective strategies for understanding the core microbes and their interactions, thus beneficial for the management of microbiota and the regulation of interactions in Baijiu fermentation processes.
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Affiliation(s)
- Jiamu Kang
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China; School of Food Science and Engineering, Hainan University, Haikou, China
| | - Xiaoning Huang
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Rengshu Li
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China
| | - Yuandi Zhang
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China
| | - Xiao-Xue Chen
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
| | - Bei-Zhong Han
- Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
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3
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Shi G, Fang C, Xing S, Guo Y, Li X, Han X, Lin L, Zhang C. Heterogenetic mechanism in high-temperature Daqu fermentation by traditional craft and mechanical craft: From microbial assembly patterns to metabolism phenotypes. Food Res Int 2024; 187:114327. [PMID: 38763631 DOI: 10.1016/j.foodres.2024.114327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/31/2024] [Accepted: 04/16/2024] [Indexed: 05/21/2024]
Abstract
The mechanical process has a widely usage in large-scale high-temperature Daqu (HTD) enterprises, however, the quality of the mechanical HTD is gapped with the HTD by traditional process. Currently, the understanding of the mechanism behind this phenomenon is still over-constrained. To this end, the discrepancies in fermentation parameters, enzymatic characteristics, microbial assembly and succession patterns, metabolic phenotypes were compared between traditional HTD and mechanical HTD in this paper. The results showed that mechanical process altered the temperature ramping procedure, resulting in a delayed appearance of the peak temperature. This alteration shifted the assembly pattern of the initial bacterial community from determinism to stochasticity, while having no impact on the stochastic assembly pattern of the fungal community. Concurrently, mechanical pressing impeded the accumulation of arginase, tetramethylpyrazine, trimethylpyrazine, 2-methoxy-4-vinylphenol, and butyric acid, as the target dissimilarities in metabolism between traditional HTD and mechanical HTD. Pearson correlation analysis combined with the functional prediction further demonstrated that Bacillus, Virgibacillus, Oceanobacillus, Kroppenstedtia, Lactobacillus, and Monascus were mainly contributors to metabolic variances. The Redundancy analysis (RDA) of fermented environmental factors on functional ASVs indicated that high temperature, high acid and low moisture were key positive drivers on the microbial metabolism for the characteristic flavor in HTD. Based on these results, heterogeneous mechanisms between traditional HTD and mechanical HTD were explored, and controllable metabolism targets were as possible strategies to improve the quality of mechanical HTD.
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Affiliation(s)
- Gailing Shi
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China
| | - Chao Fang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China
| | - Shuang Xing
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China
| | - Ying Guo
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China
| | - Xin Li
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China
| | - Xiao Han
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China
| | - Liangcai Lin
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China.
| | - Cuiying Zhang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China.
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Zhang P, Liu Y, Li H, Hui M, Pan C. Strategies and Challenges of Microbiota Regulation in Baijiu Brewing. Foods 2024; 13:1954. [PMID: 38928896 PMCID: PMC11202514 DOI: 10.3390/foods13121954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 06/09/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
The traditional Chinese Baijiu brewing process utilizes natural inoculation and open fermentation. The microbial composition and abundance in the microecology of Baijiu brewing often exhibit unstable characteristics, which directly results in fluctuations in Baijiu quality. The microbiota plays a crucial role in determining the quality of Baijiu. Analyzing the driving effect of technology and raw materials on microorganisms. Elucidating the source of core microorganisms and interactions between microorganisms, and finally utilizing single or multiple microorganisms to regulate and intensify the Baijiu fermentation process is an important way to achieve high efficiency and stability in the production of Baijiu. This paper provides a systematic review of the composition and sources of microbiota at different brewing stages. It also analyzes the relationship between raw materials, brewing processes, and brewing microbiota, as well as the steps involved in the implementation of brewing microbiota regulation strategies. In addition, this paper considers the feasibility of using Baijiu flavor as a guide for Baijiu brewing regulation by synthesizing the microbiota, and the challenges involved. This paper is a guide for flavor regulation and quality assurance of Baijiu and also suggests new research directions for regulatory strategies for other fermented foods.
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Affiliation(s)
- Pengpeng Zhang
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China; (P.Z.); (H.L.); (M.H.)
- College of Food and Biological Engineering (Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China;
| | - Yanbo Liu
- College of Food and Biological Engineering (Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China;
| | - Haideng Li
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China; (P.Z.); (H.L.); (M.H.)
- College of Food and Biological Engineering (Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China;
| | - Ming Hui
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China; (P.Z.); (H.L.); (M.H.)
| | - Chunmei Pan
- College of Food and Biological Engineering (Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China;
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Wu S, Lu J, Li C, Du H, Xu Y. Pediococcus spp. -mediated competition interaction within Daqu microbiota determines the temperature formation and metabolic profiles. Appl Environ Microbiol 2024; 90:e0179023. [PMID: 38506521 PMCID: PMC11022566 DOI: 10.1128/aem.01790-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 01/08/2024] [Indexed: 03/21/2024] Open
Abstract
Fermented microbiota is critical to the formation of microenvironment and metabolic profiles in spontaneous fermentation. Microorganisms generate a diverse array of metabolites concurrent with the release of heat energy. In the case of Daqu fermentation, the peak temperature exceeded 60°C, forming a typical high-temperature fermentation system known as high-temperature Daqu. However, microorganisms that cause the quality variation in Daqu and how they affect the functional microbiota and microenvironment in the fermentation process are not yet clear. This study adopted high-throughput sequencing and monitored the dynamic fluctuations of metabolites and environmental factors to identify the pivotal microorganism responsible for the alterations in interaction patterns of functional keystone taxa and quality decline in the fermentation system of different operational areas during the in situ fermentation process that had been mainly attributed to operational taxonomic unit (OTU)_22 (Pediococcus acidilactici). Additionally, we used isothermal microcalorimetry, plate inhibition experiments, and in vitro simulation fermentation experiments to explore the impact of Pediococcus spp. on heat generation, microorganisms, and metabolite profiles. Results showed the heat peak generated by Pediococcus spp. was significantly lower than that of Bacillus spp., filamentous fungi, and yeast. In addition, the preferential growth of P. acidilactici strain AA3 would obviously affect other strains to colonize through competition, and its metabolites made a significant impact on filamentous fungi. The addition of P. acidilactici strain AA3 in simulated fermentation would cause the loss of pyrazines and acids in metabolites. These evidences showed that the overgrowth of Pediococcus spp. greatly influenced the formation of high temperatures and compounds in solid-state fermentation systems. Our work illustrated the vital impact of interaction variability mediated by Pediococcus spp. for microbial assembly and metabolites, as well as in forming temperature. These results emphasized the functional role of Daqu microbiota in metabolites and heat production and the importance of cooperation in improving the fermentation quality.IMPORTANCEThe stable and high-quality saccharifying and fermenting starter in traditional solid-state fermentation was the prerequisite for liquor brewing. An imbalance of microbial homeostasis in fermentation can adversely impact production quality. Identification of such critical microorganisms and verifying their associations with other fermentation parameters pose a challenge in a traditional fermentation environment. To enhance the quality of spontaneous fermented products, strategies such as bioaugmentation or the control of harmful microorganisms would be employed. This work started with the differences in high-temperature Daqu metabolites to explore a series of functional microorganisms that could potentially contribute to product disparities, and found that the differences in interactions facilitated directly or indirectly by Pediococcus spp. seriously affected the development of microbial communities and metabolites, as well as the formation of the microenvironment. This study not only identified functional microbiota in Daqu that affected fermentation quality, but also demonstrated how microorganisms interact to affect the fermentation system, which would provide guidance for microbial supervision in the actual production process. Besides, the application of isothermal microcalorimetry in this study was helpful for us to understand the heat production capacity of microorganisms and their adaptability to the environment. This study presented a commendable framework for improving and controlling the quality of traditional fermentation and inspired further investigations in similar systems.
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Affiliation(s)
- Shenglu Wu
- Lab of Brewing Microbiology and Applied Enzymology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
- Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, Jiangsu, China
| | - Jun Lu
- Guizhou Guotai Liquor Group Co. Ltd., Zunyi, Guizhou, China
| | - Changwen Li
- Guizhou Guotai Liquor Group Co. Ltd., Zunyi, Guizhou, China
| | - Hai Du
- Lab of Brewing Microbiology and Applied Enzymology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
- Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, Jiangsu, China
| | - Yan Xu
- Lab of Brewing Microbiology and Applied Enzymology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
- Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, Jiangsu, China
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6
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Yang L, Fan W, Xu Y. Qu-omics elucidates the formation and spatio-temporal differentiation mechanism underlying the microecology of high temperature Daqu. Food Chem 2024; 438:137988. [PMID: 37979262 DOI: 10.1016/j.foodchem.2023.137988] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/06/2023] [Accepted: 11/11/2023] [Indexed: 11/20/2023]
Abstract
Even if fermented in the same qu-room, Daqu will form various microecologies. A gradual differentiation of microbial population niches was observed within different qu-layers, manifesting as variations in the abundance of dominant microorganisms including Bacillus, Saccharopolyspora, Weissella, Kroppenstedtia, Thermoascus, Thermomyces, Saccharomycopsis, and Rasamsonia. Moreover, distinctions were observed in the functional expression of microorganisms, including Aspergillus, Virgibacillus, Oceanobacillus, and Neurospora. The community in middle layer Daqu exhibited characteristics of high compactness and niche diversity, which facilitated efficient substrate utilization. During the initial phase, the upper Daqu community demonstrated heightened activity. However, in the middle and lower layers, fungi and bacteria respectively exhibited greater functional expression. The key environmental factors regulating the assembly of communities in the upper and middle layers were pH and temperature, respectively, and the lower was moisture and acidity. Notably, deterministic assembly exerted a stronger influence on fungi.
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Affiliation(s)
- Liang Yang
- Laboratory of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Ave, Wuxi 214122, Jiangsu, China; Department of Brewing Engineering, Moutai Institute, Luban Ave, Renhuai 564507, Guizhou, China
| | - Wenlai Fan
- Laboratory of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Ave, Wuxi 214122, Jiangsu, China.
| | - Yan Xu
- Laboratory of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Ave, Wuxi 214122, Jiangsu, China.
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Wang Y, Quan S, Xia Y, Wu Z, Zhang W. Exploring the regulated effects of solid-state fortified Jiuqu and liquid-state fortified agent on Chinese Baijiu brewing. Food Res Int 2024; 179:114024. [PMID: 38342544 DOI: 10.1016/j.foodres.2024.114024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 02/13/2024]
Abstract
Zaopei is the direct source of Chinese liquor (Baijiu). Adding functional strains to Zaopei is a potential strategy to regulate Baijiu brewing, mainly including the two ways of solid-state fortified Jiuqu (SFJ) and liquid-state fortified agent (LFA). Here, to explore their regulated details, the response patterns of Zaopei microecosystem and the changes in the product features were comprehensively investigated. The results showed that SFJ more positively changed the physicochemical properties of Zaopei and improved its ester content, from 978.57 mg/kg to 1078.63 mg/kg over the fermentation of 30 days, while LFA decreased the content of esters, alcohols, and acids. Microbial analysis revealed that SFJ significantly increased Saccharomycopsis and Aspergillus from the start of fermentation and induced a positive interaction cluster driven by the added functional Paenibacillus, while LFA exhibited a community structure near that of the original microecosystem and led to a simpler network with the reduced microbial nodes and correlations. Metabolism analysis found that both SFJ and LFA weakened the flavor-producing metabolism by suppressing some key enzyme pathways, such as EC 3.2.1.51, EC 4.2.1.47, EC 1.1.1.27, EC 1.1.1.22, EC 1.5.1.10, EC 1.14.11.12. As a result, SFJ improved the raw liquor yield by 28.5 % and endowed the final product with a more fragrant aroma, mainly through ethyl (E)-cinnamate, ethyl isovalerate, ethyl phenacetate with the higher odor activity values, while LFA promoted the yield by 13.2 % and resulted in a purer and less intense aroma through the aroma-active β-damascenone, ethyl heptoate, ethyl phenacetate. These results facilitated the regulated mechanism of SFJ and LFA on Baijiu brewing and indicated that the used functional strains in this study could be applicated in SFJ way for the further industrial-scale application.
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Affiliation(s)
- Yan Wang
- College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Shikai Quan
- College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Yu Xia
- College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Zhengyun Wu
- College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China.
| | - Wenxue Zhang
- College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China; School of Liquor-Brewing Engineering, Sichuan University of Jinjiang College, Meishan 620860, China.
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Li M, Lao F, Pan X, Yuan L, Zhang D, Wu J. Insights into the mechanisms driving microbial community succession during pepper fermentation: Roles of microbial interactions and endogenous environmental changes. Food Res Int 2024; 179:114033. [PMID: 38342553 DOI: 10.1016/j.foodres.2024.114033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 02/13/2024]
Abstract
Elucidating the driving mechanism of microbial community succession during pepper fermentation contributes to establishing efficient fermentation regulation strategies. This study utilized three-generation high-throughput sequencing technology, microbial co-occurrence network analysis, and random forest analysis to reveal microbial community succession processes and driving mechanisms during pepper fermentation. The results showed that more positive correlations than negative correlations were observed among microorganisms, with positive correlation proportions of 60 %, 51.03 %, and 71.43 % between bacteria and bacteria, fungi and fungi, and bacteria and fungi in sipingtou peppers, and 69.23 %, 54.93 %, and 79.44 % in zhudachang peppers, respectively. Microbial interactions, mainly among Weissella hellenica, Lactobacillus plantarum, Hanseniaspora opuntiae, and Kazachstania humillis, could drive bacterial and fungal community succession. Notably, the bacterial community successions during the fermentation of two peppers were similar, showing the transition from Leuconostoc pseudomesenteroides, Lactococcus lactis, Weissella ghanensis to Weissella hellenica and Lactobacillus plantarum. However, the fungal community successions in the two fermented peppers differed significantly, and the differential biomarkers were Dipodascus geotrichum and Kazachstania humillis. Differences in autochthonous microbial composition and inherent constituents brought by pepper varieties resulted in different endogenous environmental changes, mainly in fructose, malic acid, and citric acid. Furthermore, endogenous environmental factors could also drive microbial community succession, with succinic acid, lactic acid, and malic acid being the main potential drivers of bacterial community succession, whereas fructose, glucose, and succinic acid were the main drivers of fungal community succession. These results will provide insights into controlling fermentation processes by raw material combinations, optimization of environmental parameters, and microbial interactions.
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Affiliation(s)
- Meilun Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Fei Lao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Xin Pan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Lin Yuan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Donghao Zhang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China
| | - Jihong Wu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit & Vegetable Processing, Beijing 100083, China; Key Laboratory of Fruit & Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Beijing Key Laboratory for Food Non-thermal Processing, Beijing 100083, China.
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9
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Du Y, Tang J, Liu D, Liu N, Peng K, Wang C, Huang D, Luo H. Microbial metabolism during the thermophilic phase promotes the generation of aroma substances in nongxiangxing Daqu. Food Chem X 2023; 20:101044. [PMID: 38144852 PMCID: PMC10739848 DOI: 10.1016/j.fochx.2023.101044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/26/2023] [Accepted: 12/02/2023] [Indexed: 12/26/2023] Open
Abstract
The thermophilic phase of Daqu fermentation is considered the key period for aroma production in Daqu, but little is known about the changes in substances during this phase. In this study, we combined a metabolomics approach with high-throughput sequencing to analyze the metabolic profiles and identify metabolism-associated microbes during the thermophilic phase of Daqu fermentation. The results revealed that the metabolic sets after 5 and 9 days of fermentation in the thermophilic phase were similar, and several amino acid and biosynthesis-related metabolic pathways were significantly enriched. In addition, pyrazines and alkanes increased and esters decreased significantly after the thermophilic phase. The metabolism of substances during the thermophilic phase involved 38 genera, and the main metabolic pathways involved were glycolysis, TCA cycle, butyric acid metabolism, and five amino acid metabolic pathways. In summary, this study points in the direction for unravelling the mechanism of aroma production in Daqu.
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Affiliation(s)
- Yong Du
- College of Bioengineering, Sichuan University of Science and Engineering, Zigong 643000, China
- Wuliangye Yibin Co., Ltd., Yibin 644000, China
| | - Jie Tang
- College of Bioengineering, Sichuan University of Science and Engineering, Zigong 643000, China
| | - Dan Liu
- College of Bioengineering, Sichuan University of Science and Engineering, Zigong 643000, China
| | - Nian Liu
- Sichuan Food and Fermentation Industry Research & Design Institute Co., Ltd., Chengdu 611130, China
| | - Kui Peng
- Wuliangye Yibin Co., Ltd., Yibin 644000, China
| | | | - Dan Huang
- College of Bioengineering, Sichuan University of Science and Engineering, Zigong 643000, China
- Brewing Biotechnology and Application Key Laboratory of Sichuan Province, Yibin 644000, China
| | - Huibo Luo
- College of Bioengineering, Sichuan University of Science and Engineering, Zigong 643000, China
- Brewing Biotechnology and Application Key Laboratory of Sichuan Province, Yibin 644000, China
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10
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Chen X, Huang X, Sun S, Han B. Effect of Fortified Inoculation with Indigenous Lactobacillus brevis on Solid-State Fermentation of Light-Flavor Baijiu. Foods 2023; 12:4198. [PMID: 38231663 DOI: 10.3390/foods12234198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 01/19/2024] Open
Abstract
Baijiu, one of the world's oldest distilled liquors, is widely consumed globally and has gained increasing popularity in East Asia. However, a comprehensive understanding of the underlying principles behind this traditional liquor product remains elusive. Currently, Baijiu is facing the industrial challenge of modernization and standardization, particularly in terms of food quality, safety, and sustainability. The current study selected a Lactobacillus brevis strain based on experiments conducted to assess its environmental tolerance, enzyme activity, and fermentation performance, and highlight its exceptional fermentation characteristics. The subsequent analysis focused on examining the effects of fortifying the fermentation process of L.brevis on key microbiotas, physicochemical parameters, and volatile profiles. The qPCR results revealed that the inoculated L. brevis strategically influenced the the composition of the dominant microbial communities by promoting mutual exclusion, ultimately leading to improved controllability of the fermentation process. Moreover, the metabolism of the inoculated L. brevis provided more compounds for the formation of flavor profiles during fermentation (the content of ethyl acetate was increased to 57.76 mg/kg), leading to a reduction in fermentation time (from 28 d to 21 d). These findings indicate promising potential for the application of the indigenous strain in Baijiu production.
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Affiliation(s)
- Xiaoxue Chen
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100089, China
| | - Xiaoning Huang
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100089, China
| | - Shanfeng Sun
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100089, China
| | - Beizhong Han
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100089, China
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11
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Pan F, Qiu S, Lv Y, Li D. Exploring the controllability of the Baijiu fermentation process with microbiota orientation. Food Res Int 2023; 173:113249. [PMID: 37803561 DOI: 10.1016/j.foodres.2023.113249] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/05/2023] [Accepted: 07/06/2023] [Indexed: 10/08/2023]
Abstract
Product quality and stability improvement is important for development of the Baijiu industry. Generally, Baijiu brewing is carried out in a spontaneous fermentation system mediated by microbiota. Thus, complexity and instability are major features. Due to the insufficient understanding of the mechanism for producing Baijiu, the precise control of the fermentation progress has still not been realized, ultimately affecting product quality and stability. The flavor of Baijiu is the most important factor in determining its quality and is formed by microbiota under the driving force of various physicochemical parameters, such as moisture, acidity, and temperature. Therefore, exploring the association among microbiota (core), physicochemical factors (reference) and flavor compounds (target) has become a key point to clarify the formation mechanism for the flavor quality of Baijiu. Daqu fermentation and liquor fermentation are the two major stages of Baijiu brewing. Daqu, distillers' grains, and pit mud, as the most important fermentation substrates of the microbiota respectively, provide a large number of functional microorganisms related to the flavor components. To this end, we reviewed the relevant research progress of microbiota diversity in different fermentation substrates and the interaction mechanisms among microbiota, physicochemical parameters, and flavor components in this paper. Moreover, a research hypothesis of precise control of the Baijiu fermentation process by building fermentation models based on this is proposed. The key point for this idea is the identification of core microbiota closely associated with the formation of key flavor components by multi-omics technology and the acquisition of culturable strains. With this foundation, fermentation models suitable for different brewing environments will be established by constructing synthetic microbiota, designing mathematical models, and determining key fermentation model parameters. The ultimate goal will be to effectively improve the quality and stability of Baijiu products through model regulation.
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Affiliation(s)
- Fengshuang Pan
- Province Key Laboratory of Fermentation Engineering and Biological Pharmacy, Guizhou University, Guiyang 550025, China; College of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China
| | - Shuyi Qiu
- Province Key Laboratory of Fermentation Engineering and Biological Pharmacy, Guizhou University, Guiyang 550025, China; College of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China
| | - Yiyi Lv
- Province Key Laboratory of Fermentation Engineering and Biological Pharmacy, Guizhou University, Guiyang 550025, China; College of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China
| | - Dounan Li
- Province Key Laboratory of Fermentation Engineering and Biological Pharmacy, Guizhou University, Guiyang 550025, China; College of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China; Liquor Making Biological Technology and Application of key laboratory of Sichuan Province, Yibin 644000, China.
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12
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Ji X, Zhang L, Yu X, Chen F, Guo F, Wu Q, Xu Y. Selection of initial microbial community for the alcoholic fermentation of sesame flavor-type baijiu. Food Res Int 2023; 172:113141. [PMID: 37689904 DOI: 10.1016/j.foodres.2023.113141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/02/2023] [Accepted: 06/13/2023] [Indexed: 09/11/2023]
Abstract
The initial microbial community is critical for the production of volatile metabolites during traditional food fermentations. Selection of the initial community plays an important role in improving the quality of fermented foods. Here, we used high-throughput amplicon sequencing combined with multivariate statistical methods to explore the microbial succession in stacking and alcoholic fermentation stages in sesame flavor-type baijiu making. We proposed a selection strategy for the initial microbial community in the alcoholic fermentation stage, which determined the quality of baijiu. Results suggested that the microbial composition statistically differed between stacking and alcoholic fermentation stages (ANOSIM, Bacteria: R = 0.60, P = 0.001; Fungi: R = 0.53, P = 0.001). Microbial succession drove metabolic succession (Bacteria: r = 0.87, P < 0.05; Fungi: r = 0.56, P < 0.05) in alcoholic fermentation. The fermentation time of stacking fermentation determined the initial community for alcoholic fermentation, and it can be used as a criterion for selection of the initial microbial community for alcoholic fermentation. The succession distance of the microbial community was varied and reached the highest (Bacteria: 0.048, Fungi: 0.064) at 30 h in stacking fermentation. When we selected 30 h as stacking fermentation time, the concentration (4.58 mg/kg) and diversity (0.61) of volatile metabolites were highest at the end of alcoholic fermentation. This work developed a succession distance-guided approach to select the initial microbial community for the alcoholic fermentation of sesame flavor-type baijiu. This approach can be used to improve the quality of baijiu.
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Affiliation(s)
- Xueao Ji
- Lab of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Longyun Zhang
- Suqian Yanghe Distillery Co. Ltd, Jiangsu 223800, China
| | - Xiaowei Yu
- Lab of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Fujiang Chen
- Suqian Yanghe Distillery Co. Ltd, Jiangsu 223800, China
| | - Fengxue Guo
- Suqian Yanghe Distillery Co. Ltd, Jiangsu 223800, China
| | - Qun Wu
- Lab of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Yan Xu
- Lab of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China.
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13
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Chen L, Gao W, Tan X, Han Y, Jiao F, Feng B, Xie J, Li B, Zhao H, Tu H, Yu S, Wang L. MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota. Microbiol Spectr 2023; 11:e0030723. [PMID: 37140390 PMCID: PMC10269913 DOI: 10.1128/spectrum.00307-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/11/2023] [Indexed: 05/05/2023] Open
Abstract
MALDI-TOF MS is well-recognized for single microbial identification and widely used in research and clinical fields due to its specificity, speed of analysis, and low cost of consumables. Multiple commercial platforms have been developed and approved by the U.S. Food and Drug Administration. Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) has been used for microbial identification. However, microbes can present as a specific microbiota, and detection and classification remain a challenge. Here, we constructed several specific microbiotas and tried to classify them using MALDI-TOF MS. Different concentrations of nine bacterial strains (belonging to eight genera) constituted 20 specific microbiotas. Using MALDI-TOF MS, the overlap spectrum of each microbiota (MS spectra of nine bacterial strains with component percentages) could be classified by hierarchical clustering analysis (HCA). However, the real MS spectrum of a specific microbiota was different than that of the overlap spectrum of component bacteria. The MS spectra of specific microbiota showed excellent repeatability and were easier to classify by HCA, with an accuracy close to 90%. These results indicate that the widely used MALDI-TOF MS identification method for individual bacteria can be expanded to classification of microbiota. IMPORTANCE MALDI-TOF MS can be used to classify specific model microbiota. The actual MS spectrum of the model microbiota was not a simple superposition of every single bacterium in a certain proportion but had a specific spectral fingerprint. The specificity of this fingerprint can enhance the accuracy of microbiota classification.
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Affiliation(s)
- Liangqiang Chen
- Kweichow Moutai Group, Renhuai, Guizhou, People’s Republic of China
| | - Wenjing Gao
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of China
| | - Xue Tan
- Kweichow Moutai Group, Renhuai, Guizhou, People’s Republic of China
| | - Ying Han
- Kweichow Moutai Group, Renhuai, Guizhou, People’s Republic of China
| | - Fu Jiao
- Kweichow Moutai Group, Renhuai, Guizhou, People’s Republic of China
| | - Bin Feng
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of China
| | - Jinghang Xie
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of China
| | - Bin Li
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of China
| | - Huilin Zhao
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of China
| | - Huabin Tu
- Kweichow Moutai Group, Renhuai, Guizhou, People’s Republic of China
| | - Shaoning Yu
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of China
| | - Li Wang
- Kweichow Moutai Group, Renhuai, Guizhou, People’s Republic of China
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Wen L, Yang L, Chen C, Li J, Fu J, Liu G, Kan Q, Ho CT, Huang Q, Lan Y, Cao Y. Applications of multi-omics techniques to unravel the fermentation process and the flavor formation mechanism in fermented foods. Crit Rev Food Sci Nutr 2023:1-17. [PMID: 37068005 DOI: 10.1080/10408398.2023.2199425] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Fermented foods are important components of the human diet. There is increasing awareness of abundant nutritional and functional properties present in fermented foods that arise from the transformation of substrates by microbial communities. Thus, it is significant to unravel the microbial communities and mechanisms of characteristic flavor formation occurring during fermentation. There has been rapid development of high-throughput and other omics technologies, such as metaproteomics and metabolomics, and as a result, there is growing recognition of the importance of integrating these approaches. The successful applications of multi-omics approaches and bioinformatics analyses have provided a solid foundation for exploring the fermentation process. Compared with single-omics, multi-omics analyses more accurately delineate microbial and molecular features, thus they are more apt to reveal the mechanisms of fermentation. This review introduces fermented foods and an overview of single-omics technologies - including metagenomics, metatranscriptomics, metaproteomics, and metabolomics. We also discuss integrated multi-omics and bioinformatic analyses and their role in recent research progress related to fermented foods, as well as summarize the main potential pathways involved in certain fermented foods. In the future, multilayered analyses of multi-omics data should be conducted to enable better understanding of flavor formation mechanisms in fermented foods.
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Affiliation(s)
- Linfeng Wen
- Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, China
| | - Lixin Yang
- Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, China
| | - Cong Chen
- Guangdong Eco-engineering Polytechnic, Guangzhou, China
| | - Jun Li
- Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, China
- Guangdong Meiweixian Flavoring Foods Co., Ltd, Zhongshan, China
| | - Jiangyan Fu
- Guangdong Meiweixian Flavoring Foods Co., Ltd, Zhongshan, China
| | - Guo Liu
- Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, China
| | - Qixin Kan
- Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, China
| | - Chi-Tang Ho
- Department of Food Science, Rutgers University, New Brunswick, New Jersey, USA
| | - Qingrong Huang
- Department of Food Science, Rutgers University, New Brunswick, New Jersey, USA
| | - Yaqi Lan
- Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, China
| | - Yong Cao
- Guangdong Provincial Key Laboratory of Nutraceuticals and Functional Foods, College of Food Science, South China Agricultural University, Guangzhou, China
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15
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Zhang L, Zhao G, Yao Y, Zhu W, Xu S, Li H. Research on the aroma properties and microbial succession patterns in the processing of Chinese yellow sticky rice jiuqu steamed bread. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2023.114704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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16
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Impact of Aging Microbiome on Metabolic Profile of Natural Aging Huangjiu through Machine Learning. Foods 2023; 12:foods12040906. [PMID: 36832981 PMCID: PMC9956941 DOI: 10.3390/foods12040906] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 02/25/2023] Open
Abstract
Aging is a time-consuming step in the manufacturing of fermented alcoholic beverages. Natural-aging huangjiu sealed in pottery jars was taken as an example to investigate the changes of physiochemical indexes during aging and to quantify intercorrelations between aging-related factors and metabolites through machine learning methods. Machine learning models provided significant predictions for 86% of metabolites. Physiochemical indexes well reflected the metabolic profile, and total acid was the most important index that needed to be controlled. For aging-related factors, several aging biomarkers of huangjiu were also well predicted. Feature attribution analysis showed aging year was the most powerful predictive factor, and several microbial species were significantly associated with aging biomarkers. Some of the correlations, mostly connected to environmental microorganisms, were newly found, showing considerable microbial influence on aging. Overall, our results reveal the potential determinants that affect the metabolic profile of aged huangjiu, paving the way for a systematical understanding of changes in metabolites of fermented alcoholic beverages.
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17
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Jia W, Ma R. Cross-modal interactions caused by nonvolatile compounds derived from fermentation, distillation and aging to harmonize flavor. Crit Rev Food Sci Nutr 2023; 64:6686-6713. [PMID: 36718555 DOI: 10.1080/10408398.2023.2172714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Chinese liquor (Baijiu), unique liquor produced in China and among the six world-renowned distilled liquors, is never a follower of others. Flavor is the essential characteristics of Baijiu which largely affect consumers' acceptance and selection. Though the flavor of Baijiu has been widely explored, the majority of research and review mainly focused on the volatile compounds in Baijiu. The research status on detection, source and flavor contribution of nonvolatile compounds in Baijiu is clarified in the article based on available literatures and knowledge. The nonvolatile composition of Baijiu is the result of contributions of different degrees from each step involved in the production process. Gas chromatography-mass spectrometry combined with derivatization and ultra-high performance liquid chromatography coupled to mass spectrometry is the generally adopted methods for the characterization of nonvolatile compounds in Baijiu. Certain nonvolatile compounds are taste-active compounds. Cross-modal interactions caused by nonvolatile composition could affect the aroma intensity of flavor compounds in Baijiu. The work provides numerous incompletely explored but useful points for the flavor chemistry of Baijiu and lays a theoretical foundation for the better understanding of Baijiu flavor and rapid development of Baijiu industry.
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Affiliation(s)
- Wei Jia
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
- Shaanxi Research Institute of Agricultural Products Processing Technology, Xi'an, China
| | - Rutian Ma
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
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18
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Li H, Liu S, Liu Y, Hui M, Pan C. Functional microorganisms in Baijiu Daqu: Research progress and fortification strategy for application. Front Microbiol 2023; 14:1119675. [PMID: 36778882 PMCID: PMC9911690 DOI: 10.3389/fmicb.2023.1119675] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/11/2023] [Indexed: 01/28/2023] Open
Abstract
Daqu is a saccharifying and fermenting starter in the production of Chinese Baijiu; its quality directly affects the quality of Baijiu. The production of Daqu is highly environment-dependent, and after long-term natural domestication, it is rich in a wide variety of microorganisms with a stable composition, which provide complex and diverse enzymes and flavor (precursor) substances and microbiota for Jiupei (Fermented grains) fermentation. However, inoculation with a relatively stable microbial community can lead to a certain upper limit or deficiencies of the physicochemical properties (e.g., saccharification capacity, esterification capacity) of the Daqu and affect the functional expression and aroma formation of the Daqu. Targeted improvement of this problem can be proposed by selecting functional microorganisms to fortify the production of Daqu. This review introduced the isolation, screening, identification and functional characteristics of culture-dependent functional microorganisms in Baijiu-brewing, the core functional microbiota community of Daqu, and the related research progress of functional microorganisms fortified Daqu, and summarized the fortifying strategies of functional microorganisms, aiming to further deepen the application of functional microorganisms fortification in Daqu fermentation and provide ideas for the flavor regulation and quality control of Baijiu.
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Affiliation(s)
- Haideng Li
- College of Biological Engineering, Henan University of Technology, Henan, Zhengzhou, China,College of Food and Biological Engineering (Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Shengyuan Liu
- International Education College, Henan Agricultural University, Zhengzhou, Henan, China
| | - Yanbo Liu
- College of Food and Biological Engineering (Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Ming Hui
- College of Biological Engineering, Henan University of Technology, Henan, Zhengzhou, China
| | - Chunmei Pan
- College of Food and Biological Engineering (Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China,*Correspondence: Chunmei Pan,
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Zhu Y, Liu S, Ma D, Xu Y, Yang C, Mao J. Stabilization of jiuyao quality for huangjiu brewing by fortifying functional strains based on core microbial community analysis. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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