Comparative transcriptome analysis reveals regulatory network and regulators associated with proanthocyanidin accumulation in persimmon

Background Proanthocyanidins (PAs) are important plant secondary metabolites that confer flavor, nutritional value, and resistance to pathogens. Persimmon is one of the PA richest crops. Mature fruits can be inedible because of the astringency caused by high PA levels and need to go through a de-astringency treatment before consumption. The molecular basis for PA accumulation is poorly known, particularly transcriptional regulators. We characterised three genotypes ('Luotiantianshi' (LT), 'Mopanshi' (MP), and 'Youhou' (YH)) with different PA accumulation patterns using an approach that combined PacBio full-length sequencing and Illumina-based RNA sequencing to build high-quality full-length transcriptomes. Additionally, we analysed transcriptome dynamics of the three genotypes (LT, MP, and YH) at four key fruit developmental stages. Results A total of 96,463 transcripts were obtained. We identified 80,075 protein-coding sequences (CDSs), 71,137 simple sequence repeats (SSRs), and 27,845 long noncoding RNAs (lncRNAs). Pearson correlation coefficient (PCC), principal component analysis (PCA), and differentially expressed transcripts (DETs) analyses indicated that the four different developmental stages within a genotype exhibited similar transcriptome activities. A total of 2,164 transcripts specific to each fruit developmental stage were detected. The transcripts specific to early stages were attributed to phenylpropanoid and flavonoid biosynthesis. Co-expression network analyses revealed MEbrown and MEblue modules were strongly associated to PA accumulation. From these two modules, 20 hub TFs are potential regulators for PA accumulation. Among them, Cluster_78388 (SBP protein), Cluster_63454 (bZIP protein), and Cluster_66595 (MYB protein) appear to involve in the PA biosynthesis in Chinese genotypes. Conclusions This is the first high-quality reference transcriptome for commercial persimmon. Our work provides insights into the molecular pathways underlying PA accumulation and enhances our global understanding of transcriptome dynamics throughout fruit development.

Automated summary

The study characterized three genotypes of persimmon with different PA accumulation patterns using PacBio full-length sequencing and Illumina-based RNA sequencing. Transcriptome dynamics at four key fruit developmental stages were analyzed, revealing potential regulators for PA accumulation and enhancing the understanding of molecular pathways underlying PA accumulation in persimmon fruit.