Fermentation characteristics and bacterial dynamics during Chinese sauerkraut fermentation by Lactobacillus curvatus LC-20 under varied salt concentrations reveal its potential in low-salt suan cai production

Integration of metataxonomic data sets into microbial association networks highlights shared bacterial community dynamics in fermented vegetables

The management of food fermentation is still largely based on empirical knowledge, as the dynamics of microbial communities and the underlying metabolic networks that produce safe and nutritious products remain beyond our understanding. Although these closed ecosystems contain relatively few taxa, they have not yet been thoroughly characterized with respect to how their microbial communities interact and dynamically evolve. However, with the increased availability of metataxonomic data sets on different fermented vegetables, it is now possible to gain a comprehensive understanding of the microbial relationships that structure plant fermentation. In this study, we applied a network-based approach to the integration of public metataxonomic 16S data sets targeting different fermented vegetables throughout time. Specifically, we aimed to explore, compare, and combine public 16S data sets to identify shared associations between amplicon sequence variants (ASVs) obtained from independent studies. The workflow includes steps for searching and selecting public time-series data sets and constructing association networks of ASVs based on co-abundance metrics. Networks for individual data sets are then integrated into a core network, highlighting significant associations. Microbial communities are identified based on the comparison and clustering of ASV networks using the "stochastic block model" method. When we applied this method to 10 public data sets (including a total of 931 samples) targeting five varieties of vegetables with different sampling times, we found that it was able to shed light on the dynamics of vegetable fermentation by characterizing the processes of community succession among different bacterial assemblages.

IMPORTANCE

Within the growing body of research on the bacterial communities involved in the fermentation of vegetables, there is particular interest in discovering the species or consortia that drive different fermentation steps. This integrative analysis demonstrates that the reuse and integration of public microbiome data sets can provide new insights into a little-known biotope. Our most important finding is the recurrent but transient appearance, at the beginning of vegetable fermentation, of amplicon sequence variants (ASVs) belonging to Enterobacterales and their associations with ASVs belonging to Lactobacillales. These findings could be applied to the design of new fermented products.

Microbial communities of a variety of 75 homemade fermented vegetables

Fermentation is an ancient practice of food preservation. Fermented vegetables are popular in Eastern European and Asian countries. They have received a growing interest in Western countries, where they are mainly manufactured at domestic and artisanal scales and poorly characterized. Our aim was to investigate the microbial communities and the safety of French homemade fermented vegetables, in the frame of a citizen science project. Fermented vegetables and the data associated with their manufacture were collected from citizens and characterized for pH, NaCl concentration, and microbiology by culturomics and 16S DNA metabarcoding analysis. Lactic acid bacteria (LAB) and yeast isolates were identified by 16S rRNA gene sequencing and D1/D2 domains of the large subunit of the rRNA gene, respectively. The 75 collected samples contained 23 types of vegetables, mainly cabbage, followed by carrots and beets, and many mixtures of vegetables. They were 2 weeks to 4 years old, and their median pH was 3.56, except for two samples with a pH over 4.5. LAB represented the dominant viable bacteria. LAB concentrations ranged from non-detectable values to 8.7 log colony-forming units (CFU)/g and only depended on the age of the samples, with the highest most frequently observed in the youngest samples (<100 days). The 93 LAB isolates identified belonged to 23 species, the two mains being Lactiplantibacillus pentosus/plantarum and Levilactobacillus brevis. The other microbial groups enumerated (total aerobic bacteria, halotolerant bacteria, Gram-negative bacteria, and acetic acid bacteria) generally showed lower concentrations compared to LAB concentrations. No pathogenic bacteria were detected. Viable yeasts were observed in nearly half the samples, at concentrations reaching up to 8.0 log CFU/g. The 33 yeast clones identified belonged to 16 species. Bacterial metabarcoding showed two main orders, namely, Lactobacillales (i.e., LAB, 79% of abundance, 177 of the 398 total ASVs) and Enterobacterales (19% of abundance, 191 ASVs). Fifteen LAB genera were identified, with Lactiplantibacillus and Levilactobacillus as the most abundant, with 41 and 12% of total reads, respectively. Enterobacterales members were mainly represented by Enterobacteriaceae and Yersiniaceae. This study is the first wide description of the microbiota of a large variety of homemade fermented vegetables and documents their safety.

Effect of Salt Concentration on Flavor Characteristics and Physicochemical Quality of Pickled Brassica napus

This study aimed to elaborate on the role of salt concentration on pickled Brassica napus leaf and stem (BLS); it also contributed to the development of low-salt and healthy Brassica napus products in the harvest period. Five sets of pickled BLS samples were prepared, and the physicochemical parameters, free amino acids (FAAs), and the volatile flavor components (VFCs) were analyzed after fermentation. Results showed that some antioxidants, FAAs, and VFCs underwent dynamic changes during fermentation. Nitrite increased with an increase in the salt concentration used for fermentation. Pickled BLS contained a wide range of FAAs; a total of 23 were detected, which might be used as a source of amino acid supplementation. The VFCs were analyzed via headspace solid-phase micro-extraction (HS-SPME) combined with gas chromatography and mass spectrometry (GC-MS). A total of 51 VFCs were tentatively identified. The contribution to flavor could be expressed by the relative odor activity value (ROAV). Salt is one of the important factors affecting the quality of vegetable fermentation. Therefore, for large-scale pickled BLS production, a key issue is to balance the low salt concentration and high fermentation quality. Under the action of salt and microorganisms, the fresh BLS fermented via dry pickling, which not only improved its FAAs and VFCs, endowed the production with a unique flavor, but also prolonged the shelf life.

METABOLITE PROFILING, HYPOLIPIDEMIC, and ANTI-ATHEROSCLEROSIS ACTIVITY of MIXED VEGETABLE FERMENTATION EXTRACT

Although positive association between fermented vegetables intake with the risk of coronary heart disease (CHD) has increased attention nowadays, the metabolite profiling and the mechanism of action are still elusive. This study designed to investigate the secondary metabolites, hypolipidemic, and anti-atherogenic effect of mixed vegetable fermentation extract (MVFE). The metabolite screening of the MVFE was assessed using the Liquid Chromatography Tandem Mass Spectrophotometer (LC-MS/MS) method. The result of LC-MS/MS was used as ligands to inhibit the binding of oxidized LDL (oxLDL) and Cluster Differentiation 36 (CD36), Scavenger Receptor A1 (SRA1), Lectin-type oxidized LDL receptor 1 (LOX1). This work was performed with molecular docking using Discovery Studio 2021, PyRx 0.9, and Autodock Vina 4.2 followed by analyzing Network Pharmacology, Protein Protein Interaction (PPI) using Cytoscape 3.9.1 and String 2.0.0. Finally, the clinical effect of MVFE was evaluated using in vivo study. Twenty rabbits were assigned to normal, negative control, and MVFE group that were fed with standard diet, high fat diet (HFD), HFD supplemented with MVFE 100, 200 mg/kg BW, respectively. The serum level of Total Cholesterol (TC) and Low-Density Lipoprotein (LDL-c) were detected at the end of week 4. The LC-MS/MS analysis identified 17 compounds categorized as peptides, fatty acids, polysaccharides, nucleoside, flavonoids, flavanols, and phenolic compounds. Based on the docking study, more negative binding affinity was observed in the interaction between metabolites with the scavenger receptors (SR) than simvastatin. The number of nodes and edges based on Network Pharmacology analysis were 268 and 482, respectively. The PPI network showed that MVFE metabolites exerts its athero-protective effect by modulating various cellular processes including inflammation, improvement of endothelial function, and modulation of lipid metabolism. Blood TC and LDL-c concentrations in the negative control (458.82 ± 82.03; 191.87 ± 92.16 mg/dL) were higher significantly compared to the normal group (87.03 ± 29.27; 43.33 ± 5.75 mg/dL). The MVFE administration decreased the TC (100, 200 mg/kg BW MVFE: 269.96 ± 85.34; 130.17 ± 45.02 mg/dL) and LDL-c level (100, 200 mg/kg BW MVFE = 87.24 ± 22.85; 41.82 ± 11.08 mg/dL) dose-dependently (p < 0,001). The secondary metabolites derived from fermented mixed vegetables extract might be developed as a potential strategy to prevent CHD by targeting the multiple pathways in atherosclerosis.