The influence of backslopping on lactic acid bacteria diversity in tarhana fermentation

Identification of Key Parameters Inducing Microbial Modulation during Backslopped Kombucha Fermentation

The aim of this study was to assess the impact of production parameters on the reproducibility of kombucha fermentation over several production cycles based on backslopping. Six conditions with varying oxygen accessibility (specific interface surface) and initial acidity (through the inoculation rate) of the cultures were carried out and compared to an original kombucha consortium and a synthetic consortium assembled from yeasts and bacteria isolated from the original culture. Output parameters monitored were microbial populations, biofilm weight, key physico-chemical parameters and metabolites. Results highlighted the existence of phases in microbial dynamics as backslopping cycles progressed. The transitions between phases occurred faster for the synthetic consortium compared to the original kombucha. This led to microbial dynamics and fermentative kinetics that were reproducible over several cycles but that could also deviate and shift abruptly to different behaviors. These changes were mainly induced by an increase in the Saccharomyces cerevisiae population, associated with an intensification of sucrose hydrolysis, sugar consumption and an increase in ethanol content, without any significant acceleration in the rate of acidification. The study suggests that the reproducibility of kombucha fermentations relies on high biodiversity to slow down the modulations of microbial dynamics induced by the sustained rhythm of backslopping cycles.

Companilactobacillus alimentarius: An extensive characterization of strains isolated from spontaneous fermented sausages

Companilactobacillus alimentarius is a facultatively heterofermentative lactic acid bacterium (LAB) that is a significant constituent within the microbiota of various traditional fermented foods exerting several functions in fermentative or ripening processes. This species has been isolated from Spanish fermented sausages, where its frequency of isolation was comparable to those of Latilactobacillus sakei and Latilactobacillus curvatus. Despite to its presence in several niches, ecological information on this species is still scarce and only few publications report information about its safety features (i.e. antibiotic resistance). Since studies on C. alimentarius concern the analysis of a few individual traits regarding this species, a more extensive work on a larger number of isolates from the same matrix have been performed to allow a clearer interpretation of their phenotypic and technological characteristics. Specifically, 14 strains of C. alimentarius isolated from Mediterranean spontaneously fermented sausages, have been screened for their safety and technological characteristics (such as antibiotic resistance, biogenic amine production, inhibiting potential, growth at different temperatures and NaCl concentrations) and with phenotype microarrays with the aim to elucidate their potential role and contribution to sausage fermentation and ripening. In general, a wide variability was observed in relation to the parameters considered. Several of the tested strains were able to produce histamine, tyramine and putrescine while the antibiotic resistance greatly varied according to the strains, with the exception of vancomycin. In addition, C. alimentarius strains showed a relevant potential to grow in conditions of salt and temperature mimicking those found in fermented foods. In particular, the growth at 10 °C and in the presence of salt can explain the presence of C. alimentarius in sausages and its adaptation to fermented meat environment in which low temperature can be applied during ripening. The differentiation of the phenotypic profile reflected the environmental conditions that influenced the isolation source, including those derived by the raw materials. Given the species frequent association with spontaneous fermentations or the ripening microbiota of various products, despite not being intentionally used as starter cultures, the data presented in this study contribute to a deeper comprehension of their role, both advantageous and detrimental, in numerous significant fermented foods.

Modelling and predicting population of core fungi through processing parameters in spontaneous starter (Daqu) fermentation

Traditional fermented foods are usually produced by spontaneous fermentation with multiple microorganisms. Environmental factors play important roles in microbial succession. However, it is still unclear how the processing parameters regulate the microbiota during fermentation. Here, we reveal the effects of processing parameters on the core microbiota in spontaneous fermentation of Chinese liquor starter. Rhizopus, Pichia, Wickerhamomyces, Saccharomycopsis, Aspergillus and Saccharomyces were identified as core microbiota using amplicon sequencing and metaproteomics analysis. Fermentation moisture gradually decreased from 34.8% to 14.2%, and fermentation temperature varied between 17.0 °C and 35.3 °C during the fermentation. Mantel test showed that fermentation moisture (P < 0.001) and fermentation temperature (P < 0.05) significantly affected the core microbiota. Moreover, structural equation modelling analysis indicated that fermentation moisture (P < 0.001) and fermentation temperature (P < 0.001) were respectively influenced by the processing parameters, room humidity and room temperature. The succession of Rhizopus, Pichia, Wickerhamomyces, Saccharomycopsis and Aspergillus were significantly affected by room humidity (P < 0.05), and the succession of Saccharomyces was significantly affected by room temperature (P < 0.001). Further, models were constructed to predict the population of core microbiota by room humidity and room temperature, using Gaussian process regression and linear regression (P < 0.05). This work would be beneficial for regulating microorganisms via controlling processing parameters in spontaneous food fermentations.

Novel insight into physicochemical and flavor formation in koumiss based on microbial metabolic network

Koumiss, naturally fermented mare's milk, has a unique flavor that is affected by its resident microflora. In this study, we analyzed time-dependent changes in the microbiota and volatile metabolite profiles of koumiss using high-throughput sequencing and liquid-liquid extraction-gas chromatography-mass spectrometry. The dominant microrganisms in mare milk were Enterobacter and Rhodotorula, which were gradually suppressed, then Lactobacillus and Dekkera became the core microorganisms of koumiss. 17 FAA and 52 volatile organic compounds (VOCs) were identified during koumiss fermentation, including 19 odor active compounds and 15 differential metabolites of VOCs, mainly acids and esters, and their anabolism showed significant positive correlations with Lactobacillus and Dekkera. The microbial metabolic network showed that Lactobacillus and Dekkera were identified as the most important flavor-producing microbiota due to their significantly positive correlation with the formation of 33 and 28 flavor metabolites, respectively. These microorganisms produce enzymes that catalyze a series of metabolic pathways that generate VOCs, including carbohydrate metabolism, amino acid metabolism, and fatty acid biosynthesis. Our findings provide new guidance for the screening and application of flavor-producing microorganisms inkoumiss.