No retraction, correction or concern found when last checked on Oct 23, 2026.
Diversity and Function of Microbial Community in Chinese Strong-Flavor Baijiu Ecosystem: A Review
Wei Zou, Changqing Zhao, Huibo Luo
Frontiers in Microbiology · 2018 · Review
Abstract
Strong flavor baijiu (SFB), also called Luzhou-flavor liquor, is the most popular Chinese baijiu. It is manufactured via solid fermentation, with daqu as the starter. Microbial diversity of the SFB ecosystem and the synergistic effects of the enzymes and compounds produced by them are responsible for the special flavor and mouthfeel of SFB. The present review covers research studies focused on microbial community analysis of the SFB ecosystem, including the culturable microorganisms, their metabolic functions, microbial community diversity and their interactions. The review specifically emphasizes on the most recently conducted culture-independent analysis of SFB microbial community diversity. Furthermore, the possible application of systems biology approaches for elucidating the molecular mechanisms of SFB production were also reviewed and prospected.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 23, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Strong-flavor baijiu (SFB), also called Luzhou-flavor liquor, is the most popular Chinese baijiu that is known to exist since the past many centuries. Latest data reveal that the total yield of SFB has reached 9.1 million tons per annum. SFB is usually produced with the help of a typical method of natural solid fermentation that uses daqu as the main saccharification agent (Figure 1). The materials of SFB are cereals, mostly sorghum or a mixture of corn, rice, millet, sticky rice, and wheat. The fermentation process is anaerobic, carried out in a mud pit (normally with a volume of 6–8 m3) and lasts for 60–90 days. SFB is known to contain over 1300 different kinds of flavoring compounds. It has a characteristic fragrant flavor, soft mouthfeel, and long-lasting aftertaste. Like beer and wine, the composition of the flavoring compounds in SFB is determined by its microbial diversity. However, the open fermentation environment and complex microbial composition of the procedure makes it difficult to elucidate the exact specifications of SFB production.
At present, the SFB industry faces many constraints, such as long term fermentation time, unstable quality, lack of knowledge of the exact mechanism of formation of the flavoring compounds, low mechanization, and labor-intensive procedure. The key factors that can help in solving these problems can only be determined by procuring comprehensive understanding of the microbial community composition of the SFB ecosystem. Furthermore, it is crucial to understand the functional dynamics of the dominant microbial strains present in SFB ecosystem. In an effort to achieve the same many microbes have already been isolated and cultured and their physiological and metabolic functions studied. The information thus obtained provided some crucial insights into the chemical nature and mechanism of formation of SFB flavoring compounds. Recent introduction of application of culture-independent methods, such as polymerase chain reaction denaturing gradient gel electrophoresis (PCR-DGGE) and Illumina sequencing have definitely enhanced our knowledge regarding the diversity and structure of the microbial community of SFB ecosystem. In this review paper, recent findings pertaining to the diversity and function of microbial community of SFB ecosystem are discussed. The article most specifically emphasizes on the results discovered from culture-independent method based research studies.
Microbial Diversity of Cultured Microorganism
Isolation and culture of microorganisms from the SFB ecosystem was initially started in the 1960s. Since then, many microbial strains have been screened and identified (Table 1). As far as bacterial diversity is concerned, two elaborate systematic studies encompassing the isolation and culture of bacteria from the SFB ecosystem (including, workshop environment, daqu, pit mud, and zaopei) were performed. A total of 34 genera of bacteria were identified, of which Bacillus, Streptomyces, Lysinibacillus, Staphylococcus, Rummeliibacillus, Brevibacillus, and Brachybacterium were the most dominant. Other dominant genera included Weissella, Pediococcus, Lactobacillus, Acetobacter from daqu; and Sporolactobacillus, Clostridium, Mycobacterium, and Flavobacterium from pit mud. In addition, six new species of bacteria [Paenibacillus vini, Bacillus vini, Lysobacter zhanggongensis, Clostridium swellfunianum, C. luticellarii, and C. liquoris] were detected and identified from the SFB ecosystem.
On the other hand, Wickerhamomyces, Saccharomycopsis, Meyerozyma, Candida, Pichia, Cryptococcus, Brettanomyces, Dekkera, Issatchenkia, Debaryomyces, Saccharomyces, Rhodotorula, Schizosaccharomyces, Kluyveromyces, Hansenula, and Zygosaccharomyces were the yeast genera that were isolated and identified from the SFB ecosystem, among which Saccharomycopsis was the most dominant in daqu; and Issatchenkia, Pichia, and Candida in zaopei. Lichtheimia, Aspergillus, Penicillium, Rhizomucor, Mucor, Rhizopus, Monascus, Emericella, Cladosporium, and Gibberella were the mold genera isolated and identified from the ecosystem. It was also observed that among these mold genera, Penicillium and Aspergillus were the most dominant in the brewing workshop, while Lichtheimia was dominant in daqu. Similarly, Aspergillus, Monascus, and Rhizopus were found to be most dominant in zaopei. In addition, three archaea were also isolated. Two of them were identified as Methanobacterium bryantii and Methanobacterium formicicum.
Physiological Traits of Cultured Microorganisms
The production of SFB involves three basic functional processes: saccharification, alcohol fermentation, and flavor compound formation. Saccharification is achieved through extracellular enzymes (amylase, glucoamylase, protease, cellulose, and lipase) that are secreted by the microorganisms present in the SFB ecosystem, mostly in daqu. For amylase, Bacillus and Staphylococcus are the main bacterial producers, and for glucoamylase, Bacillus, Enterobacter, and Weissella are the main bacterial producers. In addition, Rhizopus, and Lichtheimia were found to produce amylase; and Aspergillus, Mucor, Penicillium, Rhizopus, Gibberella, and Cladosporium, produced glucoamylase. Some of the chief microbial cellulase producers included, Bacillus, Penicillium, Aspergillus, and Alternaria. In addition, Staphylococcus gallinarum, Mucor circinelloides f. circinelloides were found to secrete protease; and Rhizopus chinensis lipase.
Yeasts are the main ethanol producers in SFB ecosystem. Saccharomyces cerevisiae was the main ethanol producer and was dominant in the zaopei fermentation process. Ethyl hexanoate was identified as the most typical flavoring compound of SFB. In an effort to elucidate the process of its formation many hexanoate producing microorganisms have been identified and studied. Generally, hexanoate is produced by the members of the genus Clostridium by using glucose, lactate, ethanol and acetic acid as substrates. Some of the most common hexanoate producing Clostridium species include, C. kluyveri, C. lushun, Clostridium Sp. W1, and C. celerecrescens. In addition, Bacillus megaterium, Bacillus fusiformis, and Bacillus licheniformis are also known to produce hexanoate. Ethyl lactate, ethyl acetate, and ethyl butanoate are another representative compounds in SFB. Lactic acid bacteria (LAB) were found as the dominant microorganisms in mature daqu and zaopei, contributing to the lactic acid production. Other lactic acid producers in SFB ecosystem included: Corynebacterium xerosis, Staphylococcus auricularis, Bacillus subtilis, Bacillus megaterium, Bacillus cereus group, and Paenibacillus macerans. Acetic acid was produced via genus Acetobacter, which was found as one of the main genera in the initial stage of zaopei fermentation. Furthermore, specific members of the genus Clostridium were also identified to biosynthesize acetate, butanoate, and lactate from various substrates, such as sugar, starch, and cellulose. In addition, Bacillus, Lysinibacillus, Sporosarcina, Staphylococcus isolated from SFB ecosystem were found to produce different types of organic acids. These organic acids, together with ethanol get esterified into corresponding ethyl esters via a reaction catalyzed by esterases. Further investigations revealed that species of Penicillium, Aspergillus, Emericella, Rhizopus, Cladosporium, Mucor, Hansenula, Candida, Hansenula, Brettanomyces, and Dekkera isolated from SFB ecosystem are capable of secreting esterases. Other flavoring compounds of SFB, such as ketones, pyrazine, and phenylethanol were also found to be produced by Bacillus, Wickerhamomyces anomalus.
In addition to the beneficial microorganisms that were responsible for the characteristic taste and flavor of SFB production, certain other unpleasant flavoring compound producing strains were also detected. p-Cresol was identified as the major off-odor and toxic component present in SFB. It was later found to be produced by C. butyricum, C. tyrobutyricum, C. aminovalericum, C. ultunense, and C. purinilyticum. Ethyl carbamate is another potential carcinogenic compound that was found to be present in SFB. Citrulline, one of the precursors of ethyl carbamate that was found to be aacumulated (by using argine) by Lactococcus garvieae, Bacillus amyloliquefaciens, Pediococcus acidilactici, and Staphylococcus pasteuri. On the other hand, geosmin that has an earthy off-flavor was found to be produced by Streptomyces isolated from SFB ecosystem.
Microbial Diversity Revealed by Culture-Independent Methods
Although the research studies based on traditional microbial culture methods helped in gaining preliminary insights into the microbial diversity of SFB ecosystem, it was realized that these procedures were unable to study a large number of microbes whose isolation and culturing is difficult to achieve with the help of adept microbiological methods. This led to the implementation of various culture-independent methods that were directed toward attaining comprehensive understanding of microbial diversity of the SFB ecosystem (Table 2). PCR-DGGE and sequencing technology were mostly used to investigate the microbial diversity of the SFB ecosystem via the culture-independent approach.
Microbial Diversity of Daqu
Daqu is the saccharification and fermentation agent used in the process of SFB production. Daqu provides: microbial strains responsible for carrying out SFB fermentation. It also provides hydrolytic enzymes that can hydrolyze the macromolecules present in the fermented cereals; and flavoring compounds that act as precursors of SFB; as well as part of the fermentation material.
As far as bacterial diversity of daqu is concerned, Bacillus species have been detected in various SFB distilleries, which were analyzed with both culture-dependent as well as culture-independent methods. Among the various species identified, B. licheniformis was found to be the most common. B. licheniformis present in daqu were found to secrete amylase, protease, and some flavoring compound precursors. A recent study showed that inoculation of B. licheniformis in daqu fermentation changed the entire microbial community structure and metabolic profile of daqu.
In addition to B. licheniformis, daqu was also found to contain LAB (predominantly Lactobacillus). Members of LAB are known to be the main producers of lactic acid, which subsequently helps in the synthesis of ethyl lactate (via esterification). Apart from these, other genera detected in daqu included Pseudomonas, Pantoea, Enterobacter, Klebsiella, Leuconostoc, Erwinia, Geobacillus, Weissella, and Staphylococcus. Furthermore, actinomycetes, mostly Thermoactinomyces were detected as the dominant bacteria in daqu.
Understandably, yeasts are necessary for the production of alcohol. The yeast species present in SFB daqu can be divided into two groups: (i) those responsible for the production of ethanol (Saccharomyces that convert glucose into ethanol); and (ii) those responsible for the production of different kinds of esters (flavoring compounds of SFB), e.g., Pichia. The most dominant yeast varieties identified from SFB daqu included Saccharomycopsis, Pichia, and Wickerhamomyces. Saccharomycopsis fibuligera was the most dominant yeast in SFB daqu and was found to secrete amylases, acid proteases, and β-glucosidases, which in turn helped in starch degradation and their subsequent alcoholic fermentation. Wickerhamomyces anomalus was found to produce intra- and extracellular glucoside hydrolases, arabinosidase, and xylosidase. These enzymes are highly important for the wine aroma of SFB. Other non-Saccharomyces yeast species found in SFB daqu included Hanseniaspora, Issatchenkia, Trichosporon, Debaryomyces, and Sporidiobolus. In addition to yeast, molds were also found to dominate SFB daqu. Aspergillus [from the surface of wheat or brewing workshop] and Lichtheimia [isolated via culture-based method], were detected to be the most commonly found species in different SFB daqu samples. Furthermore, Thermomyces, Thermoascus, Absidia, and Geotrichum were identified as the most commonly occurring mold species that could not be isolated via the culture-based methods.
Microbial Diversity of Pit Mud
SFB is usually produced by fermentation of cereals in an underground mud pit. The inside of these pit walls are covered with pit mud (PM), which significantly contributes toward maintaining the microbial diversity necessary for SFB fermentation. The microbial community of PM is most dominantly composed of eubacteria (especially, gram-positive and anaerobic bacteria; ), archaea and fungi. The results obtained from these culture-independent methods indicated the dominant presence of Firmicutes, Proteobacteria, Bacteroidetes, Actinobacteria, and Synergistetes from the eubacteria domain and some Unclassified Bacteria. It is noteworthy that Firmicutes was found to predominate in many PM microbial communities. Among Firmicutes, Clostridiales, Lactobacillales, and Bacillales were the main bacteria found in different SFB PMs. Furthermore, Clostridium (order Clostridiales) was detected as one of the most predominant bacteria in the PM microbial community and many specifies belonging to the genus Clostridium have already been isolated and identified from PM. Some of the most common examples of such species include Clostridium kluyveri, C. swellfunianum, C. butyricum, and C. liquoris. It was also proposed that these members contribute in the: (1) production of organic acids (acetic, butyric, and hexanoic (caproic) acid), which then gets esterified with ethyl alcohol via enzymatic and non-enzymatic catalysis to form ethyl butyrate and caproate; (2) production of H2 for the synergistic metabolism of methanogens. Meanwhile, Ruminococcus, Syntrophomonas, Desulfotomaculum, Anaerobrancaceae, Pelotomaculum, Eubacterium, and Butyrivibrio were identified as the most dominant members of Clostridiales. On the other hand, Lactobacillus, especially Lactobacillus acetolerans, Lb. alimentarius and Lb. acetolerans, followed by Lactococcus, were the most dominant of all Lactobacillales found in PMs. Interestingly, Bacillales, especially those belonging to the genus Bacillus, were mostly detected in young PMs. Virgibacillus is also detected. Other commonly detected bacterial strains belonged to the phylum Firmicutes, and included members of Sedimentibacter, Sporanaerobacter, and Tissierella.
Apart from Firmicutes, other commonly observed bacterial species found in PM included: Proteobacteria, Pseudomonas, Bacteroidetes, Petrimonas, Prevotella, Chloroflexi, Actinobacteria, Rhodococcus, Microbacterium, Acinetobacter, Synergistetes, Altererythrobacter, and Aminobacterium. It is noteworthy that Chloroflexi, Synergistetes, and Actinobacteria were only detected in aged PMs.
Among the various categories of fungal strains, those belonging to the order Saccharomycetales were found to be the most dominant. Pichia, Wickerhamomyces, Saccharomyces, and Galactomyces were found to constitute a major portion of the core fungal strains isolated from different PM samples. In addition, Kluyveromyces, Zygosaccharomyces, Geotrichum, Saccharomycopsis, Issatchenkia, and Debaryomyces were also detected. Aspergillus is another fungal genus that was categorized as the chief constituent of the fungal diversity of PMs. Other genera that formed an integral part of core fungal diversity included Rhizopus, Phoma, Trichosporon, Thermoascus, Penicillium, Thermomyces, Malassezia, Mucor, Davidiella, Wallemia, Toxicocladosporium, Fusarium, and Cladosporium. Among them, Rhizopus, Phoma, and Trichosporon were found to be relatively richer in young PM samples, while Aspergillus and Candida were in older PM samples.
Methanobrevibacter, Methanobacterium, and Methanoculleus were found to be the most predominant genera of the domain archaea that were found in different PMs. Few other studies indicated the presence of members of Methanosaeta, Methanosarcina., Nitrososphaera, Methanocorpusculum, Methanocorpusculum, Methanoplanus, Methanotorris, Methanolobus, Methanothermobacter, and Methanomethylovorans.
Microbial Diversity of Zaopei
Zaopei represents the fermented cereals that are placed inside the pit cellar for alcohol fermentation and formation of flavoring compounds. Typically, fresh zaopei is essentially a mixture of steamed cereals, steamed rice husks, and daqu powder (Figure 1). Microorganisms enter into the zaopei via daqu powder, PM and the ambient brewing workshop environment. The primary role of the bacteria existing in zaopei is to produce varieties of flavoring compounds or precursor of those compounds, such as caproic acid, lactic acid, and butyric acid. It was found that these bacteria mostly belonged to the Lactobacillaceae and Acetobacteraceae families. Subsequent studies indicated that Lactobacillus acetotolerans was the most dominant strain present in zaopei. Other members of LAB that were detected were Streptococcus, Lactococcus, Leuconostoc, and Weissella. Apart from Lactobacillus, Acetobacter was found to be another chief microbial constituent of zaopei. In addition, members of Bacillus were found to be the main bacterial strains that were isolated and cultured from zaopei. Clostridium, which is a dominant bacterium in PM, was also identified in zaopei. Other not so dominant genera identified in zaopei were Erwinia, Kozakia, Staphylococcus, Granulicatella, Arthrobacter, Microbacterium, Shewanella, Sporolactobacillus, Thermoactinomyces, Desmospora, Alcaligenes, Gluconacetobacter, Prevotella, and Sedimentibacter.
As far as fungal diversity is concerned, members of the order Saccharomycetales were identified as the main fungal strains present in different zaopei samples. Candida, Issatchenkia, Debaryomyces, and Pichia were reported as the main fungal genera identified in it. Other Saccharomycetales found in the zaopei included: Torulaspora, Zygosaccharomyces, Saccharomycopsis, Citeromyces, Galactomyces, Hyphopichia, Cyberlindnera, Geotrichum, Magnusiomyces, and Kluyveromyces. Some other dominantly present fungal species reported are: Talaromyces, Aspergillus, Eurotium, Fomitopsis, Trichosporon, Thermomyces, and Thermoascus.
In addition, five genera from archaea, namely Methanocorpusculum, Methanobrevibacter, Methanobacterium, Methanoculleus (most dominant; ), and Methanosaeta were also detected in zaopei.
Microbial Diversity of Huangshui
Huangshui (HS) is the brown viscous liquid which is formed by the liquid that permeates to the bottom of pit during the fermentation process. It was found to be full of microbial strains that have evolved through long term domestication. Lactobacillus and Clostridium were identified as the dominant bacterial genera present in HS. Other commonly occurring genera detected in HS included Acetobacter, Proteiniphilum, and Caloramator. Methanocorpusculum, Methanoculleus, Methanosarcina, Methanobrevibacter, Methanobacterium, and Methanosaeta were the prevalently detected genera belonging to archaea in HS, out of which the former two genera were the most dominant. In addition, fungal genera viz. Aspergillus, Geotrichum, Galactomyces, Pichia, Zygosaccharomyces, and Candida were also detected in HS, among which Pichia was found to be the most dominant.
Microbial Community Dynamics in SFB Ecosystem
For the microbial community dynamics of daqu, the rapid propagation of most bacterial taxa (especially Lactobacillales), and several fungal taxa containing Candida, Wickerhamomyces, unclassified Dipodascaceae, and Saccharomycetales significantly enhanced the temperature at the initial fermentation stage. Wickerhamomyces anomalus, Candida metapsilosis were isolated and identified as the main yeasts, and Rhizopus oryzae as the main molds in this stage. When the fermented temperature increased to highest values (about 55°C), thermotolerant taxa including Bacillus, unclassified Streptophyta, Weissella, Thermoactinomyces, Thermoascus, and Thermomyces, Saccharomycetales, and no-rank Eukaryota were dominant. For mature daqu, Bacillales and Eurotiales became the dominant bacterial and fungal taxon, respectively. After 10 days fermentation, Saccharomycopsi fibuligera, Bacillus subtilis subsp. inaquosorum, Lichtheimia ramose were isolated and identified as the dominant yeast, bacterium, and mold, respectively (Yang J.-G. et al. 2017). In addition, Lactic acid bacteria related to Weissella, Leuconostoc, and Lactobacillus were dominant bacteria through fermentation. Thermoascus, Candida, Wickerhamomyces, and Thermomyces were dominant fungal genera through fermentation.
For the microbial community dynamics in zaopei, Lactobacillus, Leuconostoc, Methanobacterium, Clostridium, Acetobacter, Gluconobacter, Staphylococcus, Petrimonas, Methanobrevibacter, and Ruminococcus were the main prokaryotic genera at the beginning of fermentation. After 2 weeks fermentation, Lactobacillus became dominant, and other bacterial genera decreased. At the end of zaopei fermentation, only Lactobacillus was absolutely dominant. However, culture method identified that Bacillus and Lactobacillus were both the dominant bacterial genera during the zaopei fermentation. Talaromyces and Issatchenkia are the dominant fungus at the beginning stage, Eurotium and Aspergillus became the dominant genera after 4 weeks fermentation. However, Saccharomyces cerevisiae, the main ethanol producer, was not identified as the dominant species during the fermentation by the sequencing method, which was not in accordance with the result obtained by traditional culture methods.
Systems Biology Based Analysis of SFB Microbial Community
The diversity of microbial community of the SFB ecosystem has been widely studied in the past few years (Tables 1, 2). However, a comprehensive understanding of such complex microbial communities necessitates establishing links between the active microbial diversity and their functional aspects. Until now, the metabolic function of microbial community of SFB ecosystem was mainly studied by analyzing the physiological and biochemical features of the isolated microorganisms. This method is not only labor intensive and time consuming, the results obtained are also limited to the number of culturable microbes. Fortunately, the advent of highly efficient contemporary sequencing technology, omics based technologies as well as corresponding bioinformatics software and database have greatly promoted the study on the functions of even the uncultured microbial communities present in traditional food ecosystems, such as SFB ecosystem.
Several omics based research studies were carried out to elucidate the microbial community in SFB ecosystem. On the species level, genomes of Rhizopus chinensis from daqu, C. kluyveri and C. butyricum from PM have already been sequenced. It is proposed that the genomic sequence analysis of these three microorganisms can help in achieving better understanding of their genetic background and potential functions. On the microbial community level, applied the metagenomic approach and MiSeq-sequencing analyses of 16S rDNA and 16S rRNA genes to identify the hexanoate producing microorganisms (Clostridial cluster IV and Clostridium) in the SFB ecosystem. They also achieved the detailed elucidation of the interspecies hydrogen transfer mechanisms between hexanoate-producing bacteria and methanogens in PM microbiome. investigated the aroma-forming functional proteins in PM samples by using the iTRAQ-based proteomic technology. The results thus obtained indicated that most proteins were involved in the process of methanogenesis, and caproic and butyric acid formation. Furthermore, it was found that these results were in accordance with the data obtained from metagenomic analysis.
studied the metabolism and functional enzymes of the active microbial communities in SFB daqu via the metatranscriptomics approach. It was found that key enzymes involved in glycolysis and starch as well as pyruvate and ethanol metabolism were over-expressed at 50 and 62°C. Furthermore, the citrate cycle was up-regulated at 62°C and all the up-regulated genes in the glycolysis pathways mainly belonged to Saccharomycetales and Mucorales. implemented the metatranscriptomic analysis approach to identify that Saccharomyces and Lactobacillus were the core microbiota responsible in the sulfur compound production mechanism in zaopei. These studies helped in providing a detailed description of the biological components of an active SFB ecosystem. It was then proposed that correlating these components with the functional aspects of the microbial community needs to be accomplished, which can be achieved by integrating these multi-omics data with systems biology approaches. Data so obtained (on various functional levels) can be implemented for the construction and analysis of a community-level metabolic model with predictable capability.
Interactions in Microbial Community of SFB Ecosystem
It was found that there existed extensive interspecies interactions among microbial communities of SFB ecosystem. Cooccurrence pattern analysis suggested the presence of potential synergetic relationships between members belonging to the genera: Clostridia, Bacteroidia, Methanobacteria, and Methanomicrobia. It was also suggested that these relationships may be beneficial for the stability of the PM ecosystem. However, LAB (Lactobacillus, Pediococcus, and Streptococcus) may destroy this stability by producing lactate or various bacteriocins. Moreover, in zaopei ecosystem, Lactobacillus was found to be negatively related with the occurrence of Clostridium, Ruminococcus, Sedimentibacter, Syntrophomonas, Thermoactinomyces, Leuconostoc, Pediococcus, Staphylococcus, Bacillus, and Lactococcus. Synergistic interactions between the hexanoate producing strains (mostly, genus Clostridium) and methanogenic archaea (Methanobacterium) were also detected and the main mechanism was the interspecies hydrogen transfer. The caproic acid biosynthesis and hydrogenotrophic and acetoclastic methanogenesis pathways were also detected in a recent metagenomics analysis of PM microbial community. In addition, co-culture of Clostridium sp. W1 and Methanobacterium bryantii had been used for the cultivation of PM in new pit cellar, which resulted in a higher caproate and ethylcaproate production capacity. Another example is that the production of caproic acid in Clostridium was enhanced by the melanin secreted by Streptomyces avicenniae GW01.
Recently, a novel synergistic effect between Saccharomyces and Lactobacillus in the production of sulfur compounds via methionine recycling was identified. It was found that the presence of L. buchneri up-regulated the expression of genes responsible for the generation of 3-(Methylthio)-1-propanol and dimethyl disulfide in S. cerevisiae, which further regenerated the precursor of methionine catabolism. Though, several examples of interspecies interactions have been identified, but the detailed mechanisms of the same are still unclear.
It has also been observed that some Aminobacterium strains and Methanosarcina barkeri can enhance the generation of VFAs, which further contributes to the aroma composition of Chinese liquor. Furthermore, Bacillus species were found to inhibit the growth of Streptomyces sampsonii, which is one of the most dominant geosmin producers.
Flavor Contributions of Microbial Community in SFB Ecosystem
To full exploration of SFB ecosystem, one key is to understand function of microbial community in SFB ecosystem attributing to flavor compounds formation. Because flavor compounds of SFB are complex, the first thing is to identify the characteristic flavor compounds of SFB. Ethyl esters (ethyl hexanoate, ethyl lactate, ethyl acetate, and ethyl butanoate), acids (lactic acid, acetic acid), alcohols (n-propanol, iso-butanol), aldehyde had been reported as the main flavor compounds in SFB. At present, studies on the flavor contributions of microbial community in SFB ecosystem can be divided into three groups: (i) isolation and identification of microorganism with high flavor compound producing capacity under pure liquid culture, (ii) regulation of SFB ecosystem with addition of microorganisms during fermentation, and (iii) detection and analysis of biological components of SFB ecosystem on a certain level with the systems biology approaches. The first and third groups have been discussed in the above sections: “Physiological traits of cultured microorganisms” and “Systems biology based analysis of SFB microbial community.” For the second group, addition of yeast strains (Debaryomyces hansenii, Issatchenkia orientalis, Zygosaccharomyces bailii, Trichosporon coremiiforme) to zaopei showed an increase of ethyl hexanoate. Inoculation of Wickerhamomyces anomalus showed an increase of amino nitrogen, n-butyl alcohol, and sec-butyl alcohol in zaopei. However, inoculation of Saccharomyces cerevisiae showed a decrease of esters compounds and bacterial and fungal diversity in zaopei. For further study, flavor–oriented technology, which integrates the identification of flavor compounds profile and characteristic flavor compounds, critical microbes and their metabolic features, regulation of flavor production of ecosystem by the critical microbes, has been carried out and showed great potential.
Conclusion and Perspectives
SFB are produced by the synergistic effect of various microorganisms present in the SFB ecosystem. Due to the rich microbial diversity of the SFB ecosystem, it can be considered as a potential resource for the isolation of many potential industrial microorganisms that are capable of producing organic acids, novel enzymes and other high-value products. In addition, the SFB ecosystem could be a good example for the study of microbial community formation and microbial adapt evolution. Up until now, most of the microbial diversity studies on the SFB ecosystem were focused on the isolation and culture of the functional microbes and identification of microbial diversity of SFB ecosystem. However, the results obtained from such studies fail to provide comprehensive overview of the function and interspecies interactions of the microbial community of the SFB ecosystem. It was then observed that such culture based methods fail to study many un-cultured microorganisms, due to which their potential roles remain ambiguous. Furthermore, the isolated microorganisms may behave differently under axenic liquid and solid culture conditions and fail to provide crucial information on the interspecies interactions associated with them. New cultivation methods should be developed to identify phenotypes of specific species and elucidate physiological interactions of these microbes and their functions in SFB ecosystem.
The contemporary application of systems biology approaches has boosted our understanding of SFB ecosystem, not only the microbial diversity, but also the potential metabolic functions. It is therefore proposed that a detailed explanation of microbial community of SFB ecosystem calls for a combination of prevalent omics data, results obtained from physiological experiments, application of molecular analysis methods, systems biology approaches as well as bioinformatics tools. In the near future, we believe that the persistent investigation on the molecular mechanisms of microbial constituents of the SFB ecosystem will help in accelerating the improvement of SFB quality and stability.
Author Contributions
WZ carried out the initial literature review and wrote the initial manuscript. HL provided expertise and insight relating to baijiu microbiology. WZ and CZ revised the text. All authors read and approved the final manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References 123
- 1.
Barker H. A. Taha S. M. (1942 ). Clostridium kluyveri, an organism concerned in the formation of caproic acid from ethyl alcohol. J. Bacteriol. 43 347–363.
Not in our library10.1128/jb.43.3.347-363.1942
- 2.
Biggs M. B. Medlock G. L. Kolling G. L. Papin J. A. (2015 ). Metabolic network modeling of microbial communities. Wiley Interdiscip. Rev. Syst. Bio. Med. 7 317–334.
Not in our library10.1002/wsbm.1308
- 3.
Bin T. Jin-ying L. Qing-wu Z. An-jun L. Chun-huan W. You-hong T. (2011 ). Phylogenetic diversity analyse of bacteria in Gujing-flavor liquor daqu using culture independent method. Food Ferment. Ind. 37 36–40.
Not in our library
- 4.
Bokulich N. A. Bamforth C. W. Mills D. A. (2012 ). A review of molecular methods for microbial community profiling of beer and wine. J. Am. Soc. Brew. Chem. 70 150–162.
Not in our library10.1094/asbcj-2012-0709-01
- 5.
Cardona C. Weisenhorn P. Henry C. Gilbert J. A. (2016 ). Network-based metabolic analysis and microbial community modeling. Curr. Opin. Microbiol. 31 124–131.
Not in our library10.1016/j.mib.2016.03.008
- 6.
Chen G. Chen C. Lei Z. (2017 ). Meta-omics insights in the microbial community profiling and functional characterization of fermented foods. Trends Food Sci. Technol. 65(Suppl. C) 23–31.
Not in our library10.1016/j.tifs.2017.05.002
- 7.
Chen X. R. Shao C. B. Wang Y. W. He M. X. Ma K. D. Wang H. M. (2015 ). Paenibacillus vini sp. nov., isolated from alcohol fermentation pit mud in Sichuan Province, China. Antonie Van Leeuwenhoek 107 1429–1436.
Not in our library10.1007/s10482-015-0438-y
- 8.
Chi Z. Liu G. Wang F. Ju L. Zhang T. (2009 ). Saccharomycopsis fibuligera and its applications in biotechnology. Biotechnol. Adv. 27 423–431.
Not in our library10.1016/j.biotechadv.2009.03.003
- 9.
De Araújo Cavalcante W. A. Leitão R. C. Gehring T. A. Angenent L. T. Santaella S. T. (2017 ). Anaerobic fermentation for n-caproic acid production: a review. Process Biochem. 54 106–119.
Not in our library10.1016/j.procbio.2016.12.024
- 10.
Ding X. F. Wu C. Huang J. Li H. Zhou R. (2014a ). Eubacterial and archaeal community characteristics in the man-made pit mud revealed by combined PCR-DGGE and FISH analyses. Food Res. Int. 62 1047–1053.
Not in our library10.1016/j.foodres.2014.05.045
- 11.
Ding X. F. Wu C. D. Zhang L. Q. Zheng J. Zhou R. Q. (2014b ). Characterization of eubacterial and archaeal community diversity in the pit mud of Chinese Luzhou-flavor liquor by nested PCR-DGGE. World J. Microbiol. Biotechnol. 30 605–612.
Not in our library10.1007/s11274-013-1472-4
- 12.
Ding X. Wu C. Huang J. Zhou R. (2015 ). Interphase microbial community characteristics in the fermentation cellar of Chinese Luzhou-flavor liquor determined by PLFA and DGGE profiles. Food Res. Int. 72 16–24.
Not in our library10.1016/j.foodres.2015.03.018
- 13.
Dou X. Han P. Liu L. Zhang Y. He J. Zhuo X. (2017 ). Study on isolation and identification and population succession law of bacterial in fermented grains during the brewing of Luzhou-flavor Liquor. Sci. Technol. Food Ind. 38 169–174.
Not in our library10.13386/j.issn1002-0306.2017.01.025
- 14.
Du H. Liu B. Wang X. Xu Y. (2017 ). Exploring the microbial origins of p-cresol and its co-occurrence pattern in the Chinese liquor-making process. Int. J. Food Microbiol. 260 27–35.
Not in our library10.1016/j.ijfoodmicro.2017.08.016
- 15.
Du H. Xu Y. (2012 ). Determination of the microbial origin of geosmin in Chinese liquor. J. Agric. Food Chem. 60 2288–2292.
Not in our library10.1021/jf204648e
- 16.
Dürre P. (2016 ). “Physiology and sporulation in Clostridium,” in The Bacterial Spore: from Molecules to Systems eds Driks A. Eichenberger P. (Washington, DC: ASM Press) 315–329.
Not in our library
- 17.
Feng X. Deng J. Xie J. Wei C. Luo H. Huang Z. (2017 ). Brief analysis on current situation of comprehensive utilization of by-products yellow water from Baijiu-making. China Brew. 36 7–9.
Not in our library
- 18.
Franzosa E. A. Hsu T. Sirota-Madi A. Shafquat A. Abu-Ali G. Morgan X. C. (2015 ). Sequencing and beyond: integrating molecular ‘omics’ for microbial community profiling. Nat. Rev. Microbiol. 13 360–372.
Not in our library10.1038/nrmicro3451
- 19.
Gou M. Wang H. Yuan H. Zhang W. Tang Y. Kida K. (2015 ). Characterization of the microbial community in three types of fermentation starters used for Chinese liquor production. J. Inst. Brew. 121 620–627.
Not in our library10.1002/jib.272
- 20.
Guo M. Y. Huo D. Q. Ghai R. Rodriguez-Valera F. Shen C. H. Zhang N. (2014 ). Metagenomics of ancient fermentation pits used for the production of Chinese strong-aroma liquor. Genome Announc. 2:e1045–14.
Not in our library10.1128/genomea.01045-14
- 21.
Guo W. Guan J. Chen M. Xie Y. Zhang Y. Fang S. (2016 ). Mechanism of Actinomycetes promoting caproic acid bacteria to produce caproic acid. Liquor Mak. Sci. Technol. 10 48–52.
Not in our library10.13746/j.njkj.2016187
- 22.
He P. Li F. Zheng Y. Zhang Y. Hu X. Sun X. (2017 ). Isolation and volatile metabolites of Clostridium spp. in pit mud of strong-flavor Baijiu. China Brew. 36 45–49.
Not in our library
- 23.
Hu B. Liu G. Dong Q. Tang Y. Li A. Li X. (2017 ). Research and application of functional yeast in Chinese liquor production. Liquor Mak. 44 13–18.
Not in our library
- 24.
Hu C. Wu J. Shen C. Wang Z. Hu Y. (2004 ). Research on Luzhou-flavor Daqu starter and its application. Liquor Mak. Sci. Technol. 1 33–36.
Not in our library
- 25.
Hu X. Du H. Ren C. Xu Y. (2016 ). Illuminating anaerobic microbial community and cooccurrence patterns across a quality gradient in Chinese Liquor fermentation pit muds. Appl. Environ. Microbiol. 82 2506–2515.
Not in our library10.1128/aem.03409-15
- 26.
Hu X. L. Du H. Xu Y. (2015 ). Identification and quantification of the caproic acid-producing bacterium Clostridium kluyveri in the fermentation of pit mud used for Chinese strong-aroma type liquor production. Int. J. Food Microbiol. 214 116–122.
Not in our library10.1016/j.ijfoodmicro.2015.07.032
- 27.
Hu X. L. Wang H. Y. Wu Q. Xu Y. (2014 ). Development, validation and application of specific primers for analyzing the clostridial diversity in dark fermentation pit mud by PCR-DGGE. Bioresour. Technol. 163 40–47.
Not in our library10.1016/j.biortech.2014.04.008
- 28.
Huang X. Huang J. Li Z. Han B. (2016 ). Microbial diversity analysis in strong-flavor and sauce-flavor Daqu. China Brew. 35 33–37.
Not in our library10.1021/jf902881p
- 29.
Huang Y. Yi Z. Jin Y. Huang M. He K. Liu D. (2017a ). Metatranscriptomics reveals the functions and enzyme profiles of the microbial community in Chinese Nong-Flavor liquor starter. Front. Microbiol. 8:1747.
Not in our library10.3389/fmicb.2017.01747
- 30.
Huang Y. Yi Z. Jin Y. Zhao Y. He K. Liu D. (2017b ). New microbial resource: microbial diversity, function and dynamics in Chinese liquor starter. Sci. Rep. 7:14577.
Not in our library10.1038/s41598-017-14968-8
- 31.
Jian X. Jian Z. Yu L. Deng W. You L. (2017 ). Effects of a Wickerhamomyces strain on the fermentation of Nongxiang Baijiu. Liquor Mak. Sci. Technol. 9 33–38.
Not in our library10.13746/j.njkj.2017194
- 32.
Jin G. Zhu Y. Xu Y. (2017 ). Mystery behind Chinese liquor fermentation. Trends Food Sci. Technol. 63 18–28.
Not in our library10.1016/j.tifs.2017.02.016
- 33.
Kaeberlein T. Lewis K. Epstein S. S. (2002 ). Isolating “uncultivable” microorganisms in pure culture in a simulated natural environment. Science 296 1127–1129.
Not in our library10.1126/science.1070633
- 34.
Li C. Wang Y. Xie G. Peng B. Zhang B. Chen W. (2016 ). Complete genome sequence of Clostridium butyricum JKY6D1 isolated from the pit mud of a Chinese flavor liquor-making factory. J. Biotechnol. 220 23–24.
Not in our library10.1016/j.jbiotec.2016.01.003
- 35.
Li H. Huang J. Liu X. Zhou R. Ding X. Xiang Q. (2017 ). Characterization of interphase microbial community in Luzhou-flavored liquor manufacturing pits of various ages by polyphasic detection methods. J. Microbiol. Biotechnol. 27 130–140.
Not in our library10.4014/jmb.1605.05036
- 36.
Li J. Guo W. Luo Y. Wu J. Jiang W. Zhang M. (2015 ). Analysis of volatile compounds of Luzhou-flavor liquor from different pit ages by GC-MS. China Brew. 34 141–144.
Not in our library10.11882/j.issn.0254-5071.2015.09.032
- 37.
Li K. Fan Z. Wang J. Lin K. Xiang W. (2015 ). Microbial diversity in fermented yellow water of traditional intense flavor liquor. J. Food Sci. Biotechnol. 34 1155–1161.
Not in our library10.3969/j.issn.1673-1689.2015.11.006
- 38.
Li Z. Bai Z. Wang D. Zhang W. Zhang M. Lin F. (2014 ). Cultivable bacterial diversity and amylase production in three typical Daqus of Chinese spirits. Int. J. Food Sci. Technol. 49 776–786.
Not in our library10.1111/ijfs.12365
- 39.
Liang H. Li W. Luo Q. Liu C. Wu Z. Zhang W. (2015 ). Analysis of the bacterial community in aged and aging pit mud of Chinese Luzhou-flavour liquor by combined PCR-DGGE and quantitative PCR assay. J. Sci. Food Agric. 95 2729–2735.
Not in our library10.1002/jsfa.7013
- 40.
Liang H. Luo Q. Zhang A. Wu Z. Zhang W. (2016 ). Comparison of bacterial community in matured and degenerated pit mud from Chinese Luzhou-flavour liquor distillery in different regions. J. Inst. Brew. 122 48–54.
Not in our library10.1002/jib.296
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.