Data on RNA-seq analysis of Garcinia mangostana L. seed development

Othman Mazlan, Azhani Abdul-Rahman, Hoe Han Goh, Wan Mohd Aizat Wan Kamaruddin, Normah Mohd. Noor

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Mangosteen (Garcinia mangostana L.) has exceptional potential for commercial and pharmaceutical applications due to its delicious fruit and medicinal properties. Nevertheless, the molecular mechanism of mangosteen seed development is poorly understood. In this study, we performed transcriptomic analysis of four seed developmental stages; eight, ten, twelve and fourteen weeks after anthesis. Illumina HiSeq™ 4000 sequencer was used to generate raw data of approximately 68 Gb in size. From 451,495,326 raw reads, 406,143,756 clean reads were obtained. The raw data were uploaded to SRA database and the BioProject ID is PRJNA395504. These data provide the basis for further exploration and understanding of the molecular mechanism in mangosteen seed development.

Original languageEnglish
Pages (from-to)90-93
Number of pages4
JournalData in Brief
Volume16
DOIs
Publication statusPublished - 1 Feb 2018

Fingerprint

Garcinia mangostana
mangosteens
seed development
RNA
medicinal properties
transcriptomics
developmental stages
flowering
drugs
fruits
seeds

Keywords

  • Mangosteen fruit
  • RNA sequencing
  • Seed development
  • Transcriptomics

ASJC Scopus subject areas

  • General

Cite this

Data on RNA-seq analysis of Garcinia mangostana L. seed development. / Mazlan, Othman; Abdul-Rahman, Azhani; Goh, Hoe Han; Wan Kamaruddin, Wan Mohd Aizat; Mohd. Noor, Normah.

In: Data in Brief, Vol. 16, 01.02.2018, p. 90-93.

Research output: Contribution to journalArticle

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