Molecular and sensory characterization of Chinese Baijiu aged in Jiuhai container and contribution of volatile odorous terpenes to Jiuhai-aroma.

Baijiu aged in Jiuhai container will produce a special Jiuhai-aroma, which has not been fully studied. In this study, check-all-that-apply method and quantitative descriptive analysis were used to characterize Jiuhai-aroma, and it was found that the aroma characteristics of herbs, spicy, cut hay and woody were prominent in Baijiu aged in Jiuhai container. According to the results of GC-O and quantification, 71 odorants were identified in Jiuhai sample.

Cross-feeding between cyanobacterium Synechococcus and Escherichia coli in an artificial autotrophic-heterotrophic coculture system revealed by integrated omics analysis.

Background: Light-driven consortia, which consist of sucrose-secreting cyanobacteria and heterotrophic species, have attracted considerable attention due to their capability for the sustainable production of valuable chemicals directly from CO. In a previous study, we achieved a one-step conversion of sucrose secreted from cyanobacteria to fine chemicals by constructing an artificial coculture system consisting of sucrose-secreting Synechococcus elongateus cscB and 3-hydroxypropionic acid (3-HP) producing Escherichia coli ABKm. Analyses of the coculture system showed that the cyanobacterial cells grew better than their corresponding axenic cultures.

[Using OMICS technologies to analyze the mechanisms of synthetic microbial co-culture systems: a review].

In recent years, the interaction mechanisms underpinning the synthetic microbial co-culture systems have gained increasing attention due to their potentials in various biotechnological applications. Exploration of the inter-species mechanisms underpinning the synthetic microbial co-culture system could contribute to a better understanding of the theoretical basis to further optimize the existing co-culture systems, and design new synthetic co-culture system for large-scale application. OMICS technologies such as genomics, transcriptomics, proteomics, and metabolomics could analyze the biological processes in a high throughput manner.