Wan Jiaqiong, Tian Ping, Liu Xiaozhen, Zhang Hanyao
Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China.
Foods. 2025 Mar 24;14(7):1121. doi: 10.3390/foods14071121.
As a traditional rice wine, sweet fermented rice (SFR) is widely loved because of its unique flavor and high nutritional value. However, the physicochemical properties, microbial community composition, and metabolic pathway changes during the fermentation process of sweet wine have not been evaluated, and these changes can lead to unstable SFR quality. In this study, we used high-throughput sequencing technology to analyze and elucidate the dynamic changes in the microbial community, metabolic pathways, and carbohydrate enzyme functions in traditional SFR fermentation broth. The results revealed that abundance = 160,943.659 and abundance = 241,660.954 were the predominant fungal genera in the fermentation process from the beginning (A0) to the end (A43) of SFR fermentation. The results of the diversity analysis revealed that the structure and composition of the microbial communities first increased but then decreased. Metabolic pathway analysis showed that energy production and conversion, carbohydrate transport, and amino acid transport were the most active metabolic pathways in fermentation. Moreover, the three primary functions of glycosyltransferases (GTs), glycoside hydrolases (GHs), and carbohydrate-binding modules (CBMs) in carbohydrate enzyme analysis were involved in the whole fermentation process. This study only provides some insight into the dynamic changes in the microbial population of SFR single samples prepared under fixed conditions. It provides a reference for optimizing the physicochemical properties of SFR fermentation broth, controlling the microbial community structure, optimizing fermentation conditions, and improving product quality.
作为一种传统米酒,甜酒酿因其独特风味和高营养价值而广受喜爱。然而,甜酒酿发酵过程中的理化性质、微生物群落组成及代谢途径变化尚未得到评估,而这些变化会导致甜酒酿质量不稳定。在本研究中,我们利用高通量测序技术分析并阐明了传统甜酒酿发酵液中微生物群落、代谢途径及碳水化合物酶功能的动态变化。结果显示,丰度=160943.659和丰度=241660.954是甜酒酿发酵从开始(A0)到结束(A43)过程中的主要真菌属。多样性分析结果表明,微生物群落的结构和组成先增加后减少。代谢途径分析表明,能量产生与转化、碳水化合物转运和氨基酸转运是发酵过程中最活跃的代谢途径。此外,碳水化合物酶分析中糖基转移酶(GTs)、糖苷水解酶(GHs)和碳水化合物结合模块(CBMs)的三个主要功能参与了整个发酵过程。本研究仅对固定条件下制备的甜酒酿单个样品的微生物种群动态变化提供了一些见解。它为优化甜酒酿发酵液的理化性质、控制微生物群落结构、优化发酵条件及提高产品质量提供了参考。