Dataset of De Novo hybrid berry transcriptome profiling and characterization of Piper species (Piper nigrum and Piper longum) using Illumina and Nanopore sequencing

Abstract

Piper nigrum and Piper longum are the most popular and economically essential spice crops globally valued for their aromatic alkaloids, especially Piperine. However, Piperine synthesis pathway mechanisms are not yet well known. This work was aimed to generate the full-length compara- tive berry transcriptome analysis dataset of P. nigrum and P. longum by Illumina and Nanopore sequencing platforms. While short-read sequencing technology is widely using to capture transcriptome profiles, there are still some limitations due to the read length. We used Oxford Nanopore tech-nology for long reads and the Illumina sequencing platform for short reads to generate a hybrid transcriptome assembly from half matured and fully matured berries of P. nigrum and P. longum. From P. nigrum and P. longum 37.3 million and 38.1 million raw reads were generated respectively. A total of 308369 contigs from P. nigrum and 267715 contigs from P. longum were obtained and successfully annotated. The transcriptome data revealed gene families involved in piperine and other secondary metabolite biosynthetic pathways. The raw data were uploaded to NCBI database. This dataset shedlight on the further exploration of the piperine biosynthetic.