De novo assembly, characterization and functional annotation of pineapple fruit transcriptome through massively...

Area of Science:

• Plant Science
• Genomics
• Fruit Biology

Background:

• Pineapple (Ananas comosus var. comosus) is a commercially important tropical fruit.
• Understanding pineapple fruit ripening is key to enhancing traits like flavor, texture, and sweetness.
• Limited transcriptomic and genomic data is publicly available for pineapple.

Purpose of the Study:

• To perform high-throughput transcriptome sequencing of ripe pineapple fruit flesh.
• To generate and analyze pineapple fruit transcripts for functional genomics research.
• To expand the available transcriptomic and genomic information for pineapple.

Main Methods:

• Illumina high-throughput sequencing technology was used for transcriptome sequencing.
• Velvet de novo assembler was employed to assemble the generated reads.
• Sequence similarity searches and functional annotation were performed against public databases (NCBI, GO, KEGG).

Main Results:

• Approximately 4.7 million paired-end reads were generated and assembled into 28,728 unique transcripts.
• Over 16,900 unique transcripts (58.93%) showed significant similarity to known genes.
• More than 13,500 transcripts were mapped to 126 metabolic pathways, revealing previously unknown transcripts.

Conclusions:

• This study significantly increased the number of available pineapple fruit mRNA transcripts in public databases.
• The generated transcriptomic data provides a valuable resource for future gene expression and functional genomics studies in pineapple.
• The findings facilitate research aimed at improving pineapple fruit quality traits.