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Electron. j. biotechnol ; 43: 23-31, Jan. 2020. ilus, graf
Article in English | LILACS | ID: biblio-1087514


Background: Hong Qu glutinous rice wine (HQGRW) is brewed under non-aseptic fermentation conditions, so it usually has a relatively high total acid content. The aim of this study was to investigate the dynamics of the bacterial communities and total acid during the fermentation of HQGRW and elucidate the correlation between total acid and bacterial communities. Results: The results showed that the period of rapid acid increase during fermentation occurred at the early stage of fermentation. There was a negative response between total acid increase and the rate of increase in alcohol during the early fermentation stage. Bacterial community analysis using high-throughput sequencing technology was found that the dominant bacterial communities changed during the traditional fermentation of HQGRW. Both principal component analysis (PCA) and hierarchical clustering analysis revealed that there was a great difference between the bacterial communities of Hong Qu starter and those identified during the fermentation process. Furthermore, the key bacteria likely to be associated with total acid were identified by Spearman's correlation analysis. Lactobacillus, unclassified Lactobacillaceae, and Pediococcus were found, which can make significant contributions to the total acid development (| r| N 0.6 with FDR adjusted P b 0.05), establishing that these bacteria can associate closely with the total acid of rice wine. Conclusions: This was the first study to investigate the correlation between bacterial communities and total acid during the fermentation of HQGRW. These findings may be helpful in the development of a set of fermentation techniques for controlling total acid.

Bacteria/isolation & purification , Wine/microbiology , Pediococcus/isolation & purification , Pediococcus/genetics , Pediococcus/metabolism , Time Factors , Acetobacter/isolation & purification , Acetobacter/genetics , Acetobacter/metabolism , Cluster Analysis , Sequence Analysis , Computational Biology , Principal Component Analysis , Fermentation , Microbiota , Hydrogen-Ion Concentration , Lactobacillus/isolation & purification , Lactobacillus/genetics , Lactobacillus/metabolism