Breaking Physical Barrier of Fibrotic Breast Cancer for Photodynamic Immunotherapy by Remodeling Tumor Extracellular Matrix and Reprogramming Cancer-Associated Fibroblasts.

Cancer-associated fibroblasts (CAFs) assist in breast cancer (BRCA) invasion and immune resistance by overproduction of extracellular matrix (ECM). Herein, we develop FPC@S, a photodynamic immunomodulator that targets the ECM, to improve the photodynamic immunotherapy for fibrotic BRCA. FPC@S combines a tumor ECM-targeting peptide, a photosensitizer (protoporphyrin IX) and an antifibrotic drug (SIS3). After anchoring to the ECM, FPC@S causes ECM remodeling and BRCA cell death by generating reactive oxygen species (ROS) in situ. Interestingly, the ROS-mediated ECM remodeling can normalize the tumor blood vessel to improve hypoxia and in turn facilitate more ROS production. Besides, upon the acidic tumor microenvironment, FPC@S will release SIS3 for reprograming CAFs to reduce their activity but not kill them, thus inhibiting fibrosis while preventing BRCA metastasis. The natural physical barrier formed by the dense ECM is consequently eliminated in fibrotic BRCA, allowing the drugs and immune cells to penetrate deep into tumors and have better efficacy. Furthermore, FPC@S can stimulate the immune system and effectively suppress primary, distant and metastatic tumors by combining with immune checkpoint blockade therapy. This study provides different insights for the development of fibrotic tumor targeted delivery systems and exploration of synergistic immunotherapeutic mechanisms against aggressive BRCA.

Rapid detection of six Oceanobacillus species in Daqu starter using single-cell Raman spectroscopy combined with machine learning.

Many traditional fermented foods and beverages industries around the world request the addition of multi-species starter cultures. However, the microbial community in starter cultures is subject to fluctuations due to their exposure to an open environment during fermentation. A rapid detection approach to identify the microbial composition of starter culture is essential to ensure the quality of the final products. Here, we applied single-cell Raman spectroscopy (SCRS) combined with machine learning to monitor Oceanobacillus species in Daqu starter, which plays crucial roles in the process of Chinese baijiu. First, a total of six Oceanobacillus species (O. caeni, O. kimchii, O. iheyensis, O. sojae, O. oncorhynchi subsp. Oncorhynchi and O. profundus) were detected in 44 Daqu samples by amplicon sequencing and isolated by pure culture. Then, we created a reference database of these Oceanobacillus strains which correlated their taxonomic data and single-cell Raman spectra (SCRS). Based on the SCRS dataset, five machine-learning algorithms were used to classify Oceanobacillus strains, among which support vector machine (SVM) showed the highest rate of accuracy. For validation of SVM-based model, we employed a synthetic microbial community composed of varying proportions of Oceanobacillus species and demonstrated a remarkable accuracy, with a mean error was less than 1% between the predicted result and the expected value. The relative abundance of six different Oceanobacillus species during Daqu fermentation was predicted within 60 min using this method, and the reliability of the method was proved by correlating the Raman spectrum with the amplicon sequencing profiles by partial least squares regression. Our study provides a rapid, non-destructive and label-free approach for rapid identification of Oceanobacillus species in Daqu starter culture, contributing to real-time monitoring of fermentation process and ensuring high-quality products.

Solibacillus daqui sp. nov., isolated from high-temperature Daqu.

A Gram-stain-positive, rod-shaped, endospore-forming, aerobic bacterial strain, designated ZS111008T, was isolated from high-temperature Daqu, a starter for production of Chinese Jiang-flavour Baijiu, and was characterized by polyphasic taxonomy. This novel isolate grew in the presence of 0-5 % (w/v) NaCl, at pH 6.0-9.0 and 25-45 °C; optimum growth was observed with 1 % (w/v) NaCl, at pH 8.0 and 30 °C. A comparative analysis of the 16S rRNA gene sequence (1461 bp) of strain ZS111008T showed highest similarity to Solibacillus silvestris DSM12223T (96.7%), followed by Solibacillus cecembensis PN5T (96.6%) and Solibacillus isronensis AMCK01000046 (96.5%). The DNA G+C content of strain ZS111008T was 37.21 mol%. The respiratory quinone was identified as menaquinone-7 and the major polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, phosphatidylserine and one unknown phospholipid. Lys was detected as the diagnostic diamino acid in the cell wall. Based on morphological characteristics, chemotaxonomic characteristics and physiological properties, strain ZS111008T represents a novel species of the genus Solibacillus, for which the name Solibacillus daqui sp. nov. is proposed. The type strain for this proposed species is ZS111008T (=CGMCC 1.19455T=JCM 35214T).

Microbial biogeography of pit mud from an artificial brewing ecosystem on a large time scale: all roads lead to Rome.

IMPORTANCE: Baijiu is a typical example of how humans employ microorganisms to convert grains into new flavors. Mud cellars are used as the fermentation vessel for strong-flavor Baijiu (SFB) to complete the decomposition process of grains. The typical flavor of SFB is mainly attributed to the metabolites of the pit mud microbiome. China has a large number of SFB-producing regions. Previous research revealed the temporal profiles of the pit mud microbiome in different geographical regions. However, each single independent study rarely yields a thorough understanding of the pit mud ecosystem. Will the pit mud microbial communities in different production regions exhibit similar succession patterns and structures under the impact of the brewing environment? Hence, we conducted research in pit mud microbial biogeography to uncover the impact of specific environment on the microbial community over a long time scale.

Lentibacillus daqui sp. nov., isolated from high-temperature Daqu, a starter for production of Chinese Jiang-flavour Baijiu.

A Gram-stain-positive, rod-shaped, endospore-forming, aerobic bacterial strain, designated ZS110521T, was isolated from high-temperature Daqu, a starter for production of Chinese Jiang-flavour Baijiu and was characterised by polyphasic taxonomy. This novel isolate grew in the presence of 0-20 % (w/v) NaCl, at pH 6.0-9.0 and 20-50 °C; optimum growth was observed with 8-10 % (w/v) NaCl, at pH 7.0 and 37 °C. A comparative analysis of the 16S rRNA gene sequence (1460 bp) of ZS110521T revealed that it displayed the highest similarity to Lentibacillus populi WD4L-1T (95.5 %), followed by Lentibacillus garicola SL-MJ1T (95.4 %) and Lentibacillus lacisalsi BH260T (95.2 %). ANI and dDDH values between ZS110521T and other strains of species of the genus Lentibacillus were less than 78 and 28 %, respectively. The predominant cellular fatty acids (> 10 %) of ZS110521T were anteiso-C17 : 0 (37.8 %), anteiso-C15 : 0 (28.1 %) and iso-C16 : 0 (15.5 %). The respiratory quinone was identified as menaquinone-7 (MK-7) and the major polar lipids were diphosphatidylglycerol and phosphatidylglycerol. The polyphasic taxonomic data and the results of chemotaxonomic analysis confirmed that ZS110521T represents a novel species, for which the name Lentibacillus daqui sp. nov. is proposed. The type strain of this proposed species is ZS110521T (=CGMCC 1.19456T =JCM 35213T).

Geometric Remodeling of Nitrilase Active Pocket Based on ALF-Scanning Strategy To Enhance Aromatic Nitrile Substrate Preference and Catalytic Efficiency.

Nitrilase can catalyze nitrile compounds to generate corresponding carboxylic acids. Nitrilases as promiscuous enzymes can catalyze a variety of nitrile substrates, such as aliphatic nitriles, aromatic nitriles, etc. However, researchers tend to prefer enzymes with high substrate specificity and high catalytic efficiency. In this study, we developed an active pocket remodeling (ALF-scanning) based on modulating the geometry of the nitrilase active pocket to alter substrate preference and improve catalytic efficiency. Using this strategy, combined with site-directed saturation mutagenesis, we successfully obtained 4 mutants with strong aromatic nitrile preference and high catalytic activity, W170G, V198L, M197F, and F202M, respectively. To explore the synergistic relationship of these 4 mutations, we constructed 6 double-combination mutants and 4 triple-combination mutants. By combining mutations, we obtained the synergistically enhanced mutant V198L/W170G, which has a significant preference for aromatic nitrile substrates. Compared with the wild type, its specific activities for 4 aromatic nitrile substrates are increased to 11.10-, 12.10-, 26.25-, and 2.55-fold, respectively. By mechanistic dissection, we found that V198L/W170G introduced a stronger substrate-residue π-alkyl interaction in the active pocket and obtained a larger substrate cavity (225.66 Å3 to 307.58 Å3), making aromatic nitrile substrates more accessible to be catalyzed by the active center. Finally, we conducted experiments to rationally design the substrate preference of 3 other nitrilases based on the substrate preference mechanism and also obtained the corresponding aromatic nitrile substrate preference mutants of these three nitrilases and these mutants with greatly improved catalytic efficiency. Notably, the substrate range of SmNit is widened. IMPORTANCE In this study, the active pocket was largely remodeled based on the ALF-scanning strategy we developed. It is believed that ALF-scanning not only could be employed for substrate preference modification but might also play a role in protein engineering of other enzymatic properties, such as substrate region selectivity and substrate spectrum. In addition, the mechanism of aromatic nitrile substrate adaptation we found is widely applicable to other nitrilases in nature. To a large extent, it could provide a theoretical basis for the rational design of other industrial enzymes.

Characterization of Cinnamomum kanehirae Extract-Stimulated Triterpenoids Synthesis in Submerged Fermentation of Antrodia camphorata via Untargeted Metabolomics.

The underlying mechanisms of Cinnamomum kanehirae-stimulated growth and metabolism of Antrodia camphorata remain unknown. Herein, we first observed that the methanol extract of C. kanehirae trunk (MECK) (2 g/L) showed a potent stimulatory effect on A. camphorata triterpenoids production (115.6 mg/L). Second, MECK treatment considerably increased the category and abundance of many secondary metabolites in the mycelia. We identified 93 terpenoids (8 newly formed and 49 upregulated) in the MECK-treated mycelia, wherein 21 terpenoids were the same as those in the fruiting bodies. Third, 42 out of the 93 terpenoids were annotated in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, mainly involving monoterpenoids and diterpenoids syntheses. Finally, 27 monoterpenes and 16 sesquiterpenes were detected in the MECK, and the two terpenoids with the highest abundance (linalool and α-pinene) were selected for verification and found to considerably increase the terpenoids production of A. camphorata and demonstrate the regulation of mRNA expression levels of nine key genes in the mevalonate pathway via RT-qPCR. This study is beneficial for elucidating the terpenoids synthesis mechanism in A. camphorata.

Machine learning based age-authentication assisted by chemo-kinetics: Case study of strong-flavor Chinese Baijiu.

The aged Chinese liquor, Baijiu, is highly valued for its superior organoleptic qualities. However, since age-authentication method and aging-mechanism elucidation of Baijiu is still in the exploratory stage, high-quality aged Baijiu is often replaced by lower-quality, less-aged product with fraudulent mislabeling. Authentic high-quality strong-flavor Baijiu was analyzed by gas chromatography-mass spectrometry. Total esters decreased with aging, while acids, alcohols, aldehydes, ketones, terpenes, pyrazines increased. Although concentrations of partial compounds showed non-monotonic profiling during aging, a close positive linear correlation (R2 = 0.7012) of Baijiu Evenness index (0.55-0.59) with aging time was observed, indicating a more balanced composition in aged Baijiu. The reaction quotient (Qc) of each esterification, calculated by the corresponding reactant and product concentration, approached to the corresponding thermodynamic equilibrium constant Kc. This result demonstrated that the spontaneous transformation driven by thermodynamics explained part of the aging compositional profiling. Furthermore, an aging-related feature selection and an age-authentication method were established based on three models combined with five ranking algorithms. Forty-one key features, including thirty-six compound concentrations, four esterification Qc values and the Evenness index were selected out. The age-authentication based on neural network using forty-one input features accurately predicted the age group of Baijiu samples (F1 = 100 %). These findings have deepened understanding of the Baijiu aging mechanism and provided a novel, effective approach for age-authentication of Baijiu and other liquors.

The differences between broad bean koji fermented in laboratory and factory conditions by an efficient Aspergillus oryzae.

Broad bean paste-meju was fermented by a mixture of broad bean koji and saline; koji fermentation is an essential process for the production of broad bean paste-meju. Aspergillus oryzae was the most widely used in sauce fermentation. The purpose of this study was to research the factory adaptability of the highly efficient A. oryzae PNM003 and further evaluate the effect of fermentation conditions and fermentation strains on koji. A. oryzae PNM003 was compared with the widely used strain HN 3.042 not only in the laboratory but also in factory conditions (large scale). Results showed that the koji made with the same starter in the factory had a greater amount of fungi than that in the laboratory. Bacteria and yeast levels in HN_L koji were higher than in PN_L koji. As for fungi constitution, almost only Aspergillus survived in the end through the microorganism self-purification process during koji fermentation. As for the bacterial constitution, koji was grouped by fermentation conditions instead of fermentation starter. PN koji had higher protease activity and a higher content of total acids, amino acid nitrogen, amino acids, and organic acids in the laboratory conditions. Nevertheless, in factory conditions, PN koji and HN koji had similar indexes. As for volatile flavor compounds, koji made with the two starters in the same condition was grouped together. As for the same starter, there were more flavor compounds metabolized in the factory condition than in the laboratory condition, especially esters and alcohols. The results showed PN was a highly efficient strain to ferment koji, but the advantages were expressed more remarkably in laboratory conditions. In brief, the fermented condition had a greater influence than the fermentation starter for broad bean koji.

Metabolomic analysis of the effects of a mixed culture of Saccharomyces cerevisiae and Lactiplantibacillus plantarum on the physicochemical and quality characteristics of apple cider vinegar.

Introduction: This study compared differences in physicochemical characteristics of the vinegar made by a mixed culture (MC) of Saccharomyces cerevisiae and Lactiplantibacillus plantarum and a pure culture (PC) of Saccharomyces cerevisiae. Methods: The fermentation process was monitored, and metabolomics analysis by Liquid Chromagraphy-Mass Spectrometry (LC-MS) was applied to the compositional differences between PC and MC vinegars, combined with quantification of organic acids, amino acids and B vitamins. Results: A total of 71 differential metabolites including amino acids, organic acids and carbohydrates, and six possible key metabolic pathways were identified. MC enhanced the malic acid utilization and pyruvate acid metabolism during fermentation, increasing substrate-level phosphorylation, and supplying more energy for cellular metabolism. Higher acidity at the beginning of acetic acid fermentation, resulting from lactic acid production by Lactiplantibacillus plantarum in MC, suppressed the cellular metabolism and growth of Acetobacter pasteurianus, but enhanced its alcohol metabolism and acetic acid production in MC. MC vinegar contained more vitamin B, total flavonoids, total organic acids, amino acids and had a higher antioxidant capacity. MC enhanced the volatile substances, particularly ethyl lactate, ethyl caprate and ethyl caproate, which contributed to a stronger fruity aroma. Discussion: These results indicated the mixed culture in alcoholic fermentation can effectively enhance the flavor and quality of apple cider vinegar.

Bacteria and filamentous fungi running a relay race in Daqu fermentation enable macromolecular degradation and flavor substance formation.

As the saccharifying and fermentative agent, medium-temperature Daqu (MT-Daqu) plays an irreplaceable role in the production of strong-flavor Baijiu. Numerous studies have focused on the microbial community structure and potential functional microorganisms, however, little is known about the succession of active microbial community and the formation mechanism of community function during MT-Daqu fermentation. In this study, we presented an integrated analysis of metagenomics, metatranscriptomics, and metabonomics covering the whole fermentation process of MT-Daqu to reveal the active microorganisms and their participations in metabolic networks. The results showed that dynamic of metabolites were time-specific, and the metabolites and co-expressed active unigenes were further classified into four clusters according to their accumulation patterns, with members within each cluster displaying a uniform and clear pattern of abundance across fermentation. Based on KEGG enrichment analysis in co-expression clusters and succession of active microbial community, we revealed that Limosilactobacillus, Staphylococcus, Pichia, Rhizopus, and Lichtheimia were metabolically active members at the early stage, and their metabolic activities were conducive to releasing abundant energy to drive multiple basal metabolisms such as carbohydrates and amino acids. Thereafter, during the high temperature period and at the end of fermentation, multiple heat-resistant filamentous fungi were transcriptionally active populations, and they acted as both the saccharifying agents and flavor compound producers, especially aromatic compounds, suggesting their crucial contribution to enzymatic activity and aroma of mature MT-Daqu. Our findings revealed the succession and metabolic functions of the active microbial community, providing a deeper understanding of their contribution to MT-Daqu ecosystem.

Spore Powder of Paecilomyces hepiali Shapes Gut Microbiota to Relieve Exercise-Induced Fatigue in Mice.

Paecilomyces hepiali, a fungal strain isolated from natural Ophiocordyceps sinensis, contains similar pharmacologically active components, has been used widely as a substitute of O. sinensis in functional food and medicine. However, the components and anti-fatigue effects of P.hepiali spores and their mechanisms of action are largely unknown. Here, we compared the chemical composition in P.hepiali spore (HPS) and mycelium (HPM) by liquid chromatography with tandem mass spectrometry analysis. We found 85 metabolites with significant differences, and HPS contains more L-Malic acid, Oxalacetic acid, Fructose-1,6-bisphosphate, and L-Arginine than HPM. Then we evaluated their anti-fatigue effects and regulatory effects on the gut microbiota in mice. The forced swimming time (SW) was only significantly increased in HPS groups: the high and low dose of the HPS group was 101% and 72% longer than the control group, respectively. Both HPS and HPM treatment decreased lactic acid, blood urea nitrogen, creatine kinase while increased lactate dehydrogenase (LDH) levels in the blood. Moreover, mice treated with HPS and HPM showed less skeletal muscle fiber spacing and breakage. The relative abundance of Alistips, Eubacterium, Bacterium, Parasutterella, and Olsenella in the gut microbiota of the HPS group was higher than that in the HPM group through 16S rRNA gene sequencing analysis. These changes may be related to the regulation of nucleotide, amino acid, and carbohydrate metabolism. Correlation analysis between the gut microbiota and fatigue-related indicators suggested that Alistips, Clostridium, Akkermansia, Olsenella, and Lactobacillus were positively correlated with the SW and LDH content. Our findings demonstrated that HPS has beneficial anti-fatigue effects by regulating gut microbiota.

Spatial heterogeneity of the microbiome and metabolome profiles of high-temperature Daqu in the same workshop.

High-temperature Daqu, usually used as a fermentation starter for sauce-flavor Baijiu production, plays an essential role in the yield and flavor quality of Baijiu. The environmental heterogeneity of different locations in the workshop during fermentation led to the final production of Daqu with three different types (i.e., white, yellow, and black Daqu). How to use these three types of Daqu in Baijiu production mainly depends on the workers' experience so far. Here, we aimed to reveal the potential functions of different types of Daqu by comparing enzyme activity, volatile metabolites, and microbiota characteristics. White_Qu exhibited the highest liquefaction and saccharification enzyme activities, while the highest neutral proteinase and cellulase enzyme activities were detected in black_Qu. The total volatile content of yellow_Qu and black_Qu was roughly double that of white_Qu, and multivariate analysis revealed distinct volatile dissimilarities across different types of Daqu. Significant differences in bacterial and fungal community structures, assembly patterns, and potential functional profiles were discovered among different types of Daqu. At the genus level, Oceanobacillus and Thermomyces dominated the white_Qu microbiota, and the abundant microbes in yellow_Qu and black_Qu were scattered in Kroppenstedtia and Thermoascus. Bacterial and fungal communities were dominated by deterministic and stochastic assembly processes, respectively, suggesting that bacteria may be more affected by abiotic environmental factors and species interaction than fungi. Co-occurrence network analysis showed positive correlations characterized Daqu microbial networks, and network topological features indicated stronger interactions between bacterial taxa compared with fungal community. The Spearman correlation analysis revealed that four bacterial genera (Kroppenstedtia, Virgibacillus, Scopulibacillus, and Staphylococcus) and two fungal genera (Thermoascus and Aspergillus) exhibited positive correlations with almost all of the abundant volatiles. This work reveals that spatially varying environments lead to the microbiome and metabolome heterogeneity of high-temperature Daqu in the same workshop.

Metabolite-Based Mutualistic Interaction between Two Novel Clostridial Species from Pit Mud Enhances Butyrate and Caproate Production.

Pit mud microbial consortia play crucial roles in the formation of Chinese strong-flavor baijiu's key flavor-active compounds, especially butyric and caproic acids. Clostridia, one of the abundant bacterial groups in pit mud, were recognized as important butyric and caproic acid producers. Research on the interactions of the pit mud microbial community mainly depends on correlation analysis at present. Interaction between Clostridium and other microorganisms and its involvement in short/medium-chain fatty acid (S/MCFA) metabolism are still unclear. We previously found coculture of two clostridial strains isolated from pit mud, Clostridium fermenticellae JN500901 (C.901) and Novisyntrophococcus fermenticellae JN500902 (N.902), could enhance S/MCFA accumulation. Here, we investigated their underlying interaction mechanism through the combined analysis of phenotype, genome, and transcriptome. Compared to monocultures, coculture of C.901 and N.902 obviously promoted their growth, including shortening the growth lag phase and increasing biomass, and the accumulation of butyric acid and caproic acid. The slight effects of inoculation ratio and continuous passage on the growth and metabolism of coculture indicated the relative stability of their interaction. Transwell coculture and transcriptome analysis showed the interaction between C.901 and N.902 was accomplished by metabolite exchange, i.e., formic acid produced by C.901 activated the Wood-Ljungdahl pathway of N.902, thereby enhancing its production of acetic acid, which was further converted to butyric acid and caproic acid by C.901 through reverse ß-oxidation. This work demonstrates the potential roles of mutually beneficial interspecies interactions in the accumulation of key flavor compounds in pit mud. IMPORTANCE Microbial interactions played crucial roles in influencing the assembly, stability, and function of the microbial community. The metabolites of pit mud microbiota are the key to flavor formation of Chinese strong-flavor baijiu. So far, researches on the interactions of the pit mud microbial community have been mainly based on the correlation analysis of sequencing data, and more work needs to be performed to unveil the complicated interaction patterns. Here, we identified a material exchange-based mutualistic interaction system involving two fatty acid-producing clostridial strains (Clostridium fermenticellae JN500901 and Novisyntrophococcus fermenticellae JN500902) isolated from pit mud and systematically elucidated their interaction mechanism for promoting the production of butyric acid and caproic acid, the key flavor-active compounds of baijiu. Our findings provide a new perspective for understanding the complicated interactions of pit mud microorganisms.

Comparative Genomics Unveils the Habitat Adaptation and Metabolic Profiles of Clostridium in an Artificial Ecosystem for Liquor Production.

Clostridium inhabiting pit mud (PM) is one of the important bacterial populations for synthesizing flavor compounds of Chinese strong-flavor baijiu. The long-term cereal fermentation with sorghum as the main raw material creates an environment rich in starch, ethanol, and organic acids (mainly lactic acid). However, the genetic factors underpinning Clostridium's adaptation to PM remain poorly understood. Here, we performed comparative genomic analysis between 30 pit mud-associated (PMA) and 100 non-pit mud-associated (NPMA) Clostridium strains. Comparison analysis of the enrichment of KEGG pathways between PMA and NPMA Clostridium strains showed two-component system, flagellar assembly, and bacterial chemotaxis pathways related to environmental adaptation were enriched in PMA strains. The number of genes encoding alcohol dehydrogenase and l-lactate dehydrogenase in PMA Clostridium strains was significantly higher than that in NPMA, which is helpful for them to adapt to the ethanol- and lactic acid-rich environment. The analysis of carbohydrate-active enzymes demonstrated that glycoside hydrolases (GHs) was the most abundant family in all Clostridium strains, and genes encoding GH4 and GH13, involved in starch and sucrose metabolism, were enriched in PMA Clostridium. Horizontal gene transfer analysis revealed that multiple genes encoding the enzymes involved in carbohydrate and amino acid metabolism were transferred from Bacillus to Clostridium in pit mud. Most of the PMA Clostridium strains had good potential for butyric acid synthesis from ethanol, lactic acid, and starch. Collectively, this study furthers our understanding of the habitat adaptation and metabolic potential of PMA Clostridium strains. IMPORTANCE Pit mud is a typical artificial ecosystem for Chinese liquor production. Clostridium inhabiting pit mud plays essential roles in the flavor formation of strong-flavor baijiu. The relative abundance of Clostridium increased with pit mud quality, further influencing the quality of baijiu. So far, the ecological adaptation of Clostridium to a pit mud-associated lifestyle is largely unknown. Here, comparative genomic analysis of pit mud-associated (PMA) and non-pit mud-associated (NPMA) Clostridium strains was performed. We found genes related to the metabolism of starch, ethanol, and lactic acid were enriched in PMA Clostridium strains, which facilitated their adaptation to the unique brewing environment. In addition, horizontal gene transfer contributed to the adaptation of Clostridium to pit mud. Our findings provide genetic insights on PMA Clostridium strains' ecological adaptation and metabolic characteristics.

Combined effects of fermentation starters and environmental factors on the microbial community assembly and flavor formation of Zhenjiang aromatic vinegar.

Microbial ecosystems of fermented foods are largely interfered by human activities in myriad ways. The aim of this study was to illuminate the impacts of various starters and environmental variables on the fermentation process of Zhenjiang aromatic vinegar (ZAV), one of the four representative cereal vinegars in China. The effects of environmental variables (e.g., ethanol, total acidity, temperature) and starters (e.g., jiuqu, maiqu, seed pei) on the profiles of microbiome and metabolome (e.g., organic acids, amino acids and volatiles) during fermentation process of ZAV were analyzed. Amongst the four fermentation stages, acetic acid fermentation was the main stage for the accumulation of flavor substances, and subsequently, the contents of acids (mainly acetic, lactic and citric acids) and volatile metabolites (e.g., 2,3-butanedione, acetoin, etc.) continued to enrich in sealed fermentation stage. Principal coordinate analysis (PCoA) and analysis of similarities (ANOSIM) showed that the fungal and bacterial community structures of four fermentation stages were significantly different. As for bacterial community, the dominant OTUs with average relative abundance over 10% in at least one fermentation stage were assigned to the genera Acetilactobacillus, Acetobacter, Acinetobacter, Aeromonas, Lactobacillus, and Pseudomonas. The dominant fungal populations in each fermentation stage were obviously divergent, including Wickerhamomyces, Saccharomyces, Alternaria, Fusarium, etc. SourceTracker analysis demonstrated that jiuqu and seed pei provided microorganisms to initiate starch saccharification and acetic acid fermentation stages, respectively, and maiqu was mainly the donor of enzymes in alcohol fermentation. Spearman correlation coefficients revealed positive relationships between fungal community and various flavor metabolites, indicating the essential role of fungi in the flavor formation of ZAV. This study systematically reveals the effects of fermentation starters and environmental variables on vinegar production and deepens the understanding of the traditional production craft.

Constructing a Defined Starter for Multispecies Vinegar Fermentation via Evaluation of the Vitality and Dominance of Functional Microbes in an Autochthonous Starter.

Mature vinegar culture has usually been used as a type of autochthonous starter to rapidly initiate the next batch of acetic acid fermentation (AAF) and maintain the batch-to-batch uniformity of AAF in the production of traditional cereal vinegar. However, the vitality and dominance of functional microbes in autochthonous starters remain unclear, which hinders further improvement of fermentation yield and production. Here, based on metagenomic (MG), metatranscriptomic (MT), and 16S rRNA gene sequencings, 11 bacterial operational taxonomic units (OTUs) with significant metabolic activity (MT/MG ratio >1) and dominance (relative abundance >1%) were targeted in the autochthonous vinegar starter, all of which were assigned to 4 species (Acetobacter pasteurianus, Lactobacillus acetotolerans, L. helveticus, Acetilactobacillus jinshanensis). Then, we evaluated the successions and interactions of these 11 bacterial OTUs at different AAF stages. Last, a defined starter was constructed with 4 core species isolated from the autochthonous starter (A. pasteurianus, L. acetotolerans, L. helveticus, Ac. jinshanensis). The defined starter culture could rapidly initiate the AAF in a sterile or unsterilized environment, and similar dynamics of metabolites (ethanol, titratable acidity, acetic acid, lactic acid, and volatile compounds) and environmental indexes (temperature, pH) of fermentation were observed as compared with that of autochthonous starter (P > 0.05). This work provides a method to construct a defined microbiota from a complex system while preserving its metabolic function. IMPORTANCE Complex microorganisms are beneficial to the flavor formation in natural food fermentation, but they also pose challenges to the mass production of standardized products. It is attractive to construct a defined starter to rapidly initiate fermentation process and significantly improve fermentation yield. This study provides a comprehensive understanding of vital and dominant species in the autochthonous vinegar starter via multi-omics, and designs a defined microbial community for the efficient fermentation of cereal vinegar.

Komagataeibacter europaeus improves community stability and function in solid-state cereal vinegar fermentation ecosystem: Non-abundant species plays important role.

Solid-state fermentation of Chinese traditional cereal vinegar is a complex and retractable ecosystem with multi-species involved, including few abundant and many non-abundant species. However, the roles of non-abundant species in vinegar fermentation remain unknown. Here, we studied the assembly and co-occurrence patterns for abundant and non-abundant bacterial sub-communities using Zhenjiang aromatic vinegar fermentation as a model system. Our results showed that the change of reducing sugar and total titratable acid were the main driving forces for the assembly of abundant and non-abundant sub-communities, respectively. The non-abundant sub-community was more sensitive to the environmental variation of acetic acid fermentation (AAF) process. Integrated co-occurrence network revealed that non-abundant sub-communities occupied most of the nodes in the network, which play fundamental roles in network stability. Importantly, non-abundant species-Komagataeibacter europaeus, showed the highest value of degree in the co-occurrence network, implying its importance for the metabolic function and resilience of the microbial community. Bioaugmentation of K. europaeus JNP1 verified that it can effectively modulate bacterial composition and improve the robustness of co-occurrence network in situ, accompanied by (i) increased acetic acid content (14.78%) and decreased reducing sugar content (40.38%); and (ii) increased the gene numbers of phosphogluconate dehydratase (212.24%) and aldehyde dehydrogenase (192.31%). Overall, the results showed that non-abundant bacteria could be used to regulate the desired metabolic function of the community, and might play an important ecological significance in traditional fermented foods.