The current consensus is that four AsA biosynthesis pathways, including the L-galactose, L-glucose, D-galacturonic acid, and inositol pathways, operate in higher plants, with the L-galactose pathway being the dominant route for AsA accumulation [1], as illustrated in Figure 1.  
In recent decades, de novo assembly of the transcriptome by second-generation sequencing (NGS), Illumina RNA-sequencing (RNA-Seq), has become a cost-effective, accurate, and routine method. Nevertheless, NGS generates relatively short reads of only 100-500 bp, which poses a great challenge when it comes to assembly and annotation, especially without a well-annotated reference genome [17]. Recently, the advent of a  
Figure 1: The currently known pathways for AsA biosynthesis and recycling in higher plants. Abbreviations: Phosphoglucoisomerase, PGI; mannose-6-phosphate isomerase, PMI; phosphomannomatuse, PMM; GDP-mannose;porphyrin; GDP-mannose;YFP; GDP-mannose;YFP; 5’-epimerase, GME; GDP-L-galactose phosphorylase, GGP; L-galactose-l-phosphate phosphatase, GPP; L-galactose dehydrogenase, GalDH; L-galactacono-1,4-lactone dehydrogenase, GallDH; myo-inositol oxygenase, MIOX; D-galacturonate reductase, GalUR; ascorbate peroxidase, APX; monodehydroascorbate reductase, MDHAR; dehydrorosorbate reductase, DHAR; ascorbate oxidase, AO. third-generation sequence platform, PacBio long-read single-molecule real-time (SMRT) sequencing technology, has overcome the limitations of short read sequences and provides opportunities to generate reliable long reads (10-15 kb) which can meet the requirements for capturing genome-wide, full-length (FL) transcripts [17]. Although _A. latifolia_ has extremely high AsA content [13; 14; 15; 16], neither its reference genome nor transcriptome is available, which is a major bottleneck in understanding the functional genomics and molecular genetics of _A. latifolia_. To the best of our knowledge, there are no reports regarding the AsA accumulation pattern in this special AsA-rich kiwifruit cultivar. To elucidate the mechanisms regulating AsA concentration, it is of utmost importance to monitor how AsA accumulates during fruit development and ripening of cultivars with different AsA contents, especially in cultivars with extremely high AsA content. In addition, much remains to be learned regarding the molecular mechanisms underlying the dynamic accumulation of AsA in _A. latifolia_. A thorough elucidation of AsA accumulation, its associated gene expression, and metabolic pathways is required for genetic or cultural improvement in the future. In the present study, the dynamic changes in AsA content at six different stages of fruit development and ripening of _A. latifolia_ were evaluated using high-performance liquid chromatography (HPLC). The Isoform Sequencing (Iso-SeqTM) protocol with the PacBio SMRT sequencing-based de novo transcriptome was employed to construct a high-quality reference FL transcriptome for _A. latifolia_. In addition, the associated transcriptional changes, along with AsA accumulation, were quantified using second-generation Illumina paired-end sequencing technology to elucidate the underlying molecular mechanisms. Furthermore, the regulatory genes associated with the AsA biosynthesis and recycling pathways, and the lncRNAs involved in AsA-related gene expression regulation, were identified. The paucity of _A. latifolia_ genomic information implies that the reference FL transcriptome atlas obtained in this study would be vital for future genome annotation and studying gene function, especially those related to economically important traits. The results of this study would be beneficial for breeding programs aimed at increasing the AsA level of kiwifruit in the future.