Integrative analyses of metabolome and transcriptome reveals metabolomic variations and candidate genes involved in sweet cherry (Prunus avium L.) fruit quality during development and ripening
Fig 5
Correlation analysis of metabolomic and transcriptomic data.
(A) PCA plots of differentially expressed genes (DEGs) identified from different developmental stages of sweet cherry. (B) Number of DEGs among different fruit-development stages. (C) Heatmap of all identified DEGs at four stages. Red and green indicate increased and decreased gene transcript levels, respectively. (D) Nine-quadrant diagrams show the correlation of compounds (obtained from metabolomic analysis) and genes (identified from RNA-seq) in sweet cherry. Blue, green, red, and black points indicate DEGs and DEMs pairs, non-DEGs and DEM pairs, DEGs and non-DEM pairs, and non-DEGs and non-DEM pairs, respectively. (E-H) Association analysis of transcriptomic and metabolomic variation. Connection network between top 10 DEMs and screened DEGs (|log2FoldChange| > 1, p < 0.05, and FPKM > 10) in (E) 10 vs. 25 DAFB, (F) 25 vs. 33 DAFB, (G) 33 vs. 40 DAFB, and (H) 10 vs. 40 DAFB. Red and green ovals in nodes represent DEMs and DEGs, respectively. Edges represent “relationships” between any DEMs and DEGs, yellow and gray represent positive and negative correlations, respectively, as determined by absolute value of |r| > 0.90.