摘要
该研究利用非靶向代谢组学技术对油莎豆粕精酿啤酒主发酵期差异代谢物进行鉴定。结果表明,主成分分析(PCA)与偏最小二乘法判别分析(PLS-DA)反映出试验结果可信度高;层次聚类分析(HCA)结果显示平行样本具有相似的代谢物合成模式,且能够聚为同类;在啤酒主发酵期共鉴定到52种显著差异表达的代谢物,其中上调差异代谢物数目为30种,下调代谢物数目为22种。京都基因与基因组百科通路分析(KEGG)结果表明,ABC转运蛋白、中心碳代谢与氨基酸合成代谢、脂代谢、三羧酸循环代谢、碳代谢、氨酰-转移核糖核酸(tRNA)合成代谢等相关代谢途径在主酵期发挥了重要作用与生物学功能。研究成果为揭示本产品主发酵期代谢物形成及变化提供了基础理论信息。
In this study,untargeted metabolomics was used to identify the differential metabolites of Cyperus esculentus meal craft beer during the main fermentation stage.The results showed that principal component analysis(PCA)and partial least square discriminant analysis(PLS-DA)could reflect the experimental results with high reliability.The results of hierarchical cluster analysis(HCA)showed that parallel samples had similar metabolite synthesis patterns and could be clustered into congeners.A total of 52 differentially expressed metabolites were identified during the main fermentation stage of the beer,among which 30 were up-regulated and 22 were down-regulated.KEGG results showed that ATP-binding cassette transporter(ABC transporter),central carbon metabolism and amino acid anabolism,lipid metabolism,tricarboxylic acid cycle metabolism,carbon metabolism,aminoyl-transfer ribonucleic acid(t RNA)anabolism and other related metabolic pathways played important roles and biological functions in the main fermentation stage.The research results provided basic theoretical information for revealing the formation and change of metabolites in the main fermentation stage of the product.
作者
张雷
张璐璐
孙洪蕊
刘香英
康立宁
ZHANG Lei;ZHANG Lulu;SUN Hongrui;LIU Xiangying;KANG Lining(Institute of Agro-food Technology,Jilin Academy of Agricultural Sciences,Changchun 130033,China;School of Food Engineering,Jilin Agriculture and Technology University,Jilin 132101,China;College of Forestry,Bei Hua University,Jilin 132013,China)
出处
《中国酿造》
CAS
北大核心
2022年第5期89-95,共7页
China Brewing
基金
吉林省科技发展计划项目(20200502003NC)。
关键词
油莎豆粕
精酿啤酒
代谢物
主发酵期
代谢组学
Cyperus esculentus meal
craft beer
metabolites
main fermentation stage
metabolomics
