Fig. 2

Overview of proteomic and transcriptomic analysis of tea varieties. Sample relationship between the tested samples. (A) Proteomics data set. (B) Transcriptome sequencing data. Multiple group difference scatter plots: These plots list the number of up-regulated and down-regulated DAPs and DEGs based on pairwise comparisons. (C) Log2-transformed fold changes in DAPs abundance among different germplasms. (D) Log2-transformed fold changes in DEGs expression among different germplasms. Enrichment Analysis: (E) Enrichment analysis of proteomic DAPs. The top 20 enriched pathways are listed. KEGG terms related to theacrine and EGCG3"Me metabolism are highlighted in bold and red. (F) Circular dendrogram showing the abundance levels of DAPs in the purine metabolism and flavonoid biosynthesis pathways. The size of the circle indicates the abundance level of the enzyme. (G) DEGs are listed in a circle diagram with the top 50 KEGG enriched pathways. The first circle represents the Pathway ID, with different colors distinguishing KEGG_A_class. The second circle indicates the number of genes enriched in the Pathway ID in the background gene set. The third circle shows the number of genes in the target gene set enriched in the Pathway, and different colors distinguish up- and down-regulation. The fourth circle represents Gene Ratio, calculated as the number of genes in the target gene set enriched in the pathway divided by the number of genes in the background gene set enriched in the pathway. The Pathway ID of purine metabolism and flavonoid biosynthesis pathways were marked in red and bold. (H) Correlation analysis of 7 selected DEGs. The correlation coefficients of the RNA-seq data and qRT-PCR analyses for each gene are represented by the values between two heatmaps. FDDB: ‘Fudingdabaicha’, TGY: ‘Tieguanyin’, AXKC: ‘Anxi kucha’