Wang Jie, Wei Bo, Chen Zhuojun, Chen Yixin, Liu Songyu, Zhang Bolin, Zhu Baoqing, Ye Dongqing
Beijing Key Laboratory of Forestry Food Processing and Safety, School of Biological Science and Technology, Beijing Forestry University, Beijing, China.
Guangxi Key Laboratory of Fruits and Vegetables Storage-Processing Technology, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China.
Front Microbiol. 2023 Jul 17;14:1154768. doi: 10.3389/fmicb.2023.1154768. eCollection 2023.
Real-time monitoring of microbial dynamics during fermentation is essential for wine quality control. This study developed a method that combines the fluorescent dye propidium monoazide (PMA) with CELL-qPCR, which can distinguish between dead and live microbes for . This method could detect the quantity of microbes efficiently and rapidly without DNA extraction during wine fermentation. The results showed that (1) the PMA-CELL-qPCR enumeration method developed for was optimized for PMA treatment concentration, PMA detection sensitivity and multiple conditions of sample pretreatment in wine environment, and the optimized method can accurately quantify 10-10 CFU/mL of the target strain () in multiple matrices; (2) when the concentration of dead bacteria in the system is 10 times higher than the concentration of live bacteria, there is an error of 0.5-1 lg CFU/mL in the detection results. The optimized sample pretreatment method in wine can effectively reduce the inhibitory components in the qPCR reaction system; (3) the optimized PMA-CELL-qPCR method was used to monitor the dynamic changes of during the fermentation of Cabernet Sauvignon wine, and the results were consistent with the plate counting method. In conclusion, the live bacteria quantification method developed in this study for PMA-CELL-qPCR in wines is accurate in quantification and simple in operation, and can be used as a means to accurately monitor microbial dynamics in wine and other fruit wines.
在葡萄酒质量控制中,实时监测发酵过程中的微生物动态至关重要。本研究开发了一种将荧光染料单叠氮碘化丙啶(PMA)与细胞定量聚合酶链反应(CELL-qPCR)相结合的方法,该方法可区分死活微生物。此方法能够在葡萄酒发酵过程中无需提取DNA即可高效快速地检测微生物数量。结果表明:(1)针对[目标微生物]开发的PMA-CELL-qPCR计数方法在PMA处理浓度、PMA检测灵敏度以及葡萄酒环境中样品预处理的多种条件方面进行了优化,优化后的方法能够在多种基质中准确定量目标菌株([目标微生物名称])至10-10 CFU/mL;(2)当系统中死菌浓度比活菌浓度高10倍时,检测结果存在0.5 - 1 lg CFU/mL的误差。葡萄酒中优化后的样品预处理方法可有效降低qPCR反应体系中的抑制成分;(3)采用优化后的PMA-CELL-qPCR方法监测赤霞珠葡萄酒发酵过程中[目标微生物]的动态变化,结果与平板计数法一致。总之,本研究开发的用于葡萄酒中PMA-CELL-qPCR的活菌定量方法定量准确、操作简便,可作为准确监测葡萄酒及其他果酒中微生物动态的手段。