Bioturbation analysis of microbial communities and flavor metabolism in a high-yielding cellulase Bacillus subtilis biofortified Daqu.

In this study, a fortified Daqu (FF Daqu) was prepared using high cellulase-producing Bacillus subtilis, and the effects of in situ fortification on the physicochemical properties, flavor, active microbial community and metabolism of Daqu were analyzed. The saccharification power, liquefaction power, and cellulase activity of the FF Daqu were significantly increased compared with that of the traditional Daqu (CT Daqu). The overall differences in flavor components and their contents were not significant, but the higher alcohols were lower in FF Daqu. The relative abundance of dominant active species in FF Daqu was 85.08% of the total active microbiota higher than 63.42% in CT Daqu, and the biomarkers were Paecilomyces variotii and Aspergillus cristatus, respectively. The enzymes related to starch and sucrose metabolic pathways were up-regulated and expressed in FF Daqu. In the laboratory level simulation of baijiu brewing, the yield of baijiu was increased by 3.36% using FF Daqu.

Screening and identification of high yield tetramethylpyrazine strains in Nongxiangxing liquor Daqu and study on the mechanism of tetramethylpyrazine production.

BACKGROUND: There are few reports on the breeding of high-yielding tetramethylpyrazine (TTMP) strains in strong-flavor Daqu. In addition, studies on the mechanism of TTMP production in strains are mostly based on common physiological and biochemical indicators, and there is no report on RNA level. Therefore, in this study, a strain with high production of TTMP was screened out from strong-flavor liquor, and transcriptome sequencing analysis was performed to analyze its key metabolic pathways and key genes, and to infer the mechanism of TTMP production in the strain. RESULTS: In this study, a strain with a high yield of tetramethylpyrazine (TTMP) was screened out, and the yield was 29.83 µg mL-1 . The identified strain was Bacillus velezensis, which could increase the content of TTMP in liquor by about 88%. After transcriptome sequencing, a total of 1851 differentially expressed genes were screened, including 1055 up-regulated genes and 796 down-regulated genes. Three pathways related to the production of TTMP were identified by gene ontology (GO) annotation and COG annotation, including carbohydrate metabolism, cell movement and amino acid metabolism. The key genes of TTMP were analyzed, and the factors that might regulate the production of TTMP, such as the transfer of uracil phosphate ribose and glycosyltransferase, were obtained. CONCLUSIONS: A strain of B. velezensis with high TTMP production was screened and identified in strong-flavor Daqu for the first time. The yield of TTMP was 29.83 µg mL-1 , which increased the TTMP content in liquor by 88%. The key metabolic pathways of TTMP production in the strain were obtained: carbohydrate metabolism, cell movement and amino acid metabolism, and the key regulatory genes of each pathway were found, which complemented the gap in gene level in the production regulation of the strain, and provided a theoretical basis for the subsequent study of TTMP in liquor. © 2023 Society of Chemical Industry.

Sensitive and rapid visual detection of Salmonella Typhimurium in milk based on recombinase polymerase amplification with lateral flow dipsticks.

Salmonella Typhimurium (S. Typhimurium) can cause serious foodborne diseases. In this study, an assay combining recombinase polymerase amplification (RPA) with lateral flow dipsticks (LFD) was developed to detect S. Typhimurium in milk. The RPA forward primers STF1, STF2, STF3, the reverse primer STR labeled with digoxin, and the probe STProb labeled with FAM were designed and screened to produce RPA products for LFD detection. The RPA reaction volume, temperature, and time were then optimized, and the sensitivity and specificity of the developed method were analyzed. Finally, the RPA-LFD method was evaluated using milk artificially contaminated with S. Typhimurium. Results indicated that the primer pair STF1/STR is the optimal combination for detecting the bacterium. The minimum volume, shortest time, and optimal temperature of the RPA reaction were 10 µL, 10 min, and 40-42 °C, respectively. The limit of detection of RPA-LFD for detecting the genomic DNA of S. Typhimurium was 1 fg, which is 5 and 10 times lower than the corresponding limits of RPA-agarose gel electrophoresis (AGE) and PCR-AGE, respectively. Testing with 29 other foodborne bacteria as controls revealed that RPA-LFD was highly specific for S. Typhimurium. RPA-LFD can detect S. Typhimurium at concentrations as low as 1.95 CFU/mL in artificially inoculated milk samples and is thus 10 times more sensitive than PCR. Hence, the RPA-LFD assay established in this study could be a potential point-of-care/need test for S. Typhimurium, especially in areas with limited resources.

Development of duplex PCR-ELISA for simultaneous detection of Salmonella spp. and Escherichia coli O157: H7 in food.

In the current study, a duplex PCR-ELISA method was developed targeting the specific genes, invA of Salmonella spp. and rfbE of Escherichia coli O157: H7, to detect one or both bacteria in food. In brief, PCR product amplified by PCR primer labeled with digoxin at the 5'-end and a probe labeled with biotin at the 3'-end can form dimer by nucleic acid hybridization which can be captured by binding of biotin to streptomycin coated in ELISA plate before using enzyme-labeled anti-digoxin antibody and substrate to develop color. Also, evaluation of the duplex PCR-ELISA method was conducted in different food samples including milk, juice, cabbage, shrimp, chicken, pork and beef. Results indicated that the duplex PCR-ELISA developed here was specific when using 25 non-target bacteria strains as controls and was sensitive with a limit of detection (LOD) of 1 CFU/mL, 1, 000 times higher than that of the duplex PCR method and was repeatable regardless of inter- and intra-batch variations. The duplex PCR-ELISA method established in the present study has proven to be highly specific, sensitive and repeatable. It has the potential to be applied in such fields as clinical diagnosis of food-borne diseases, food hygiene monitoring and pathogen detection in food.