代谢组学
代谢组
生物
偏最小二乘回归
发酵
微生物
生物技术
微生物种群生物学
主成分分析
计算生物学
食品科学
细菌
生物信息学
计算机科学
遗传学
人工智能
机器学习
作者
Yijie Dai,Lei Yu,Jintao Ao,Rui Wang
出处
期刊:Heliyon
[Elsevier BV]
日期:2024-08-28
卷期号:10 (17): e36944-e36944
标识
DOI:10.1016/j.heliyon.2024.e36944
摘要
Daqu is usually produced in an open environment, which makes its quality unstable. The microbial community of Daqu largely determines its quality. Therefore, in order to improve the fermentation characteristics of Daqu, samples were collected from Jinsha County (MT1), Xishui County (MT2), and Maotai Town (MT3) in Guizhou Province to explore the microbial diversity of Daqu and its impact on Daqu's metabolites.Off-target metabolomics was used to detect metabolites, and high-throughput sequencing was used to detect microorganisms. Metabolomics results revealed that MT1 and MT2 had the highest relative fatty acid content, whereas MT3 had the highest organooxygen compound content. Principal component analysis and partial least squares discriminant analysis revealed significant differences in the metabolites among the three groups, followed by the identification of 33 differential metabolites (key metabolites) filtered using the criteria of variable importance in projection >1 and
科研通智能强力驱动
Strongly Powered by AbleSci AI