Analysis And Identification Of Differentially Expressed Proteins In Wild Tea With Different EGCG Content

Tea is the world's oldest and most widely drinking beverage plants, it is not only relieve thirst, pleasant fragrance, but also has rich nutritional value and health properties, has attracted extensive research in the scientific community. EGCG is peculiar to the tea in the biochemical composition, content accounted for dry matter weight of 10% or so. It is not only the key factor of tea quality, but also have a significant contribution to the human health, with anti-oxidation, anti-cancer, regulate blood glucose, blood lipid and antibacterial anti-inflammatory role, is considered the most research value and development prospects of chemicals.Guangxi is located in the south of the country, the climate is warm and humid, has a very rich germplasm resources of tea, dating back over 3,000 years of tea history. According to the survey, Guangxi Jinxiu Yao Autonomous County has the most abundant resources of wild tea tree, which grows in the Liuxiang village Shangguchen Tun primeval forests rotten stone with distinct germplasm characteristics, forming a wild tea community are rare tea resources. During the inspection, we observed and measured the basic morphological characteristics of Liuxiang wild tea, then fixed the fresh tea leaves and measured the main biochemical constituents, specific resources were found to research according to the data, in the relative concentration of the growth environment and similar genetic background, found some individuals that EGCG content was significantly different, selected the EGCG content was the highest(12.13%), center(9.51%) and the lowest(7.43%) of the three tea plants then conducted proteomics and molecular research.Through optimization experiments of plant protein extraction technology to find a suitable method of protein extraction of fresh tea leaves, then use the two-dimensional gel electrophoresis for separation of total protein of tea, and analyze the electrophoresis image of three groups of samples through the software to find points(?3 times) of significant difference, then dig corresponding protein spots from gel and conduct MOLDT-TOF/TOF mass spectrometric detection, search through NCBI and Uni Prot database. 106 different protein spots were identified In the study. Use GO functional enrichment analysis to classify function of differentially expressed proteins identified, through Pathway analysis to understand the main biological processes of these proteins, including Metabolic pathways, the Biosynthesis of secondary metabolites and Carbon metabolism, Biosynthesis of amino acids and other. In the 37 proteins involved in the production of secondary metabolites, the expression of 15 proteins was positively correlated with the EGCG content, the chalcone Chalcones synthase, Isoflavone reductas, Cinnamyl alcohol dehydrogenase,Dihydroflavonol 4-reductase and Anthocyanidin reductase is known as EGCG synthesis pathway key enzyme. Phospho-2-dehydro-3-deoxyheptonate aldolase, Acetolactate synthase, Succinate dehydrogenase, Malate dehydrogenase, Transketolase, Glyceraldehyde-3-phosphate dehydrogenase, Fructose-bisphosphate aldolase, Cationic peroxidase, 3-ketoacyl-Co A thiolase 1, Serine hydroxymethyltransferase is the main protein secondary metabolism involved in basic metabolism and energy metabolism, suggesting that plays an important role in EGCG synthesis. Finally explore the relationship between gene transcription and protein expression level by real-time fluorescence quantitative PCR experiments, the Ribosomal protein, Betaine-aldehyde dehydrogenase and Anthocyanidin reductase protein expression and gene transcription level change is consistent. In view of the present study, the related protein of EGCG content difference in tea plant was identified, which is important to promote the study of physiological and biochemical pathways of EGCG.