典型文献
                Transcriptome and phytochemical analyses reveal the roles of characteristic metabolites in the taste formation of white tea during the withering process
            文献摘要:
                    In the postharvest processing of tea leaves, withering is the first indispensable manufacturing process which produces the mellow, umami and sweet taste of white tea. In this study, we aimed to determine the dynamic changes of the main metabolites and clarify the key differentially expressed genes (DEGs) involved in forming the characteristic taste of white tea during withering. Phytochemical analyses revealed that the contents of total catechins and starch decreased continuously, whereas the contents of theaflavin, γ-aminobutyric acid (GABA), maltose, and soluble sugars increased significantly during withering (from 0–48 h). Meanwhile, the elevation of α-amylase (AMY), β-amylase (BAM), total amylase, and glutamate decarboxylase (GAD) activities may be correlated with the accumulation of GABA and maltose. By transcriptome sequencing, we detected 9707, 15921, 17353, and 17538 DEGs at 12, 24, 36, and 48 h of the withering process, respectively, compared with 0 h sample (fresh leaves). The transcript levels of most of the DEGs involved in catechin biosynthesis were significantly inhibited, whereas those involved in catechin oxidation were significantly up-regulated, which could be correlated to a decrease in catechin content and an increase in theaflavin content. The DEGs involved in GABA biosynthesis were considerably up-regulated, and the down-regulation of SPMS could reduce the competition for converting spermidine to GABA. The up-regulation of the AMY and BAM genes could trigger starch degradation, resulting in the increase of soluble sugar content. These results provide new insights into the importance of the withering process to the characteristic taste of white tea.
                文献关键词:
                    
                中图分类号:
                    作者姓名:
                    
                        ZHOU Cheng-zhe;ZHU Chen;LI Xiao-zhen;CHEN Lan;XIE Si-yi;CHEN Guang-wu;ZHANG Huan;LAI Zhong-xiong;LIN Yu-ling;GUO Yu-qiong
                    
                作者机构:
                    College of Horticulture,Fujian Agriculture and Forestry University,Fuzhou 350002,P.R.China;Institute of Horticultural Biotechnology,Fujian Agriculture and Forestry University,Fuzhou 350002,P.R.China;Key Laboratory of Tea Science of Fujian Province/Tea Industry Research Institute,Fujian Agriculture and Forestry University,Fuzhou 350002,P.R.China
                文献出处:
                    
                引用格式:
                    
                        [1]ZHOU Cheng-zhe;ZHU Chen;LI Xiao-zhen;CHEN Lan;XIE Si-yi;CHEN Guang-wu;ZHANG Huan;LAI Zhong-xiong;LIN Yu-ling;GUO Yu-qiong-.Transcriptome and phytochemical analyses reveal the roles of characteristic metabolites in the taste formation of white tea during the withering process)[J].农业科学学报(英文),2022(03):862-877
                    
                A类:
                withering,mellow,maltose
                B类:
                    Transcriptome,phytochemical,analyses,roles,characteristic,metabolites,taste,formation,white,tea,during,In,postharvest,processing,leaves,first,indispensable,manufacturing,which,produces,umami,sweet,this,study,aimed,determine,dynamic,changes,main,clarify,key,differentially,expressed,genes,DEGs,involved,forming,Phytochemical,revealed,that,contents,total,catechins,starch,decreased,continuously,whereas,theaflavin,aminobutyric,acid,GABA,soluble,sugars,increased,significantly,from,Meanwhile,elevation,amylase,AMY,BAM,glutamate,decarboxylase,GAD,activities,may,be,correlated,accumulation,By,transcriptome,sequencing,detected,respectively,compared,sample,fresh,levels,most,biosynthesis,were,inhibited,those,oxidation,up,regulated,could,considerably,down,regulation,SPMS,reduce,competition,converting,spermidine,trigger,degradation,resulting,These,results,provide,new,insights,into,importance
                AB值:
                    0.472357
                相似文献
                
            机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。