RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening

Mangosteen (Garcinia mangostana L.) is known for its delectable taste and contains high amount of xanthones which have been reported to possess anti-cancer, anti-inflammatory and other bioactive properties. However, stage-specific regulation of mangosteen fruit ripening has never been studied in det...

Full description

Bibliographic Details
Main Authors: Azhani Abdul-Rahman, Hoe-Han Goh, Kok-Keong Loke, Normah Mohd Noor, Wan Mohd Aizat
Format: Article
Language:English
Published: Elsevier 2017-06-01
Series:Genomics Data
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213596017300740
id doaj-18ad6de6570442a1829b2d17aa04568c
record_format Article
spelling doaj-18ad6de6570442a1829b2d17aa04568c2020-11-25T02:38:55ZengElsevierGenomics Data2213-59602017-06-0112C15916010.1016/j.gdata.2017.05.013RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripeningAzhani Abdul-RahmanHoe-Han GohKok-Keong LokeNormah Mohd NoorWan Mohd AizatMangosteen (Garcinia mangostana L.) is known for its delectable taste and contains high amount of xanthones which have been reported to possess anti-cancer, anti-inflammatory and other bioactive properties. However, stage-specific regulation of mangosteen fruit ripening has never been studied in detail. We have performed a comparative transcriptomic analysis of three ripening stages (Stage 0, 2 and 6) of mangosteen. We have obtained a raw data from six libraries through Illumina HiSeq 4000. A total of ~40 Gb of raw data were generated. Clean reads of 650,887,650 (bp) were obtained from 656,913,570 (bp) raw reads. The raw transcriptome data were deposited to SRA database, with the BioProject accession number of PRJNA339916. These data will be beneficial for transcriptome profiling in order to study the regulation of mangosteen fruit ripening. The lack of a complete sequence database from this species impedes protein identification. These data sets provide a reference data for the exploration of novel genes or proteins to understand mangosteen fruit ripening behaviour.http://www.sciencedirect.com/science/article/pii/S2213596017300740Fruit ripeningGarcinia mangostana L.Illumina sequencingTranscriptome
collection DOAJ
language English
format Article
sources DOAJ
author Azhani Abdul-Rahman
Hoe-Han Goh
Kok-Keong Loke
Normah Mohd Noor
Wan Mohd Aizat
spellingShingle Azhani Abdul-Rahman
Hoe-Han Goh
Kok-Keong Loke
Normah Mohd Noor
Wan Mohd Aizat
RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening
Genomics Data
Fruit ripening
Garcinia mangostana L.
Illumina sequencing
Transcriptome
author_facet Azhani Abdul-Rahman
Hoe-Han Goh
Kok-Keong Loke
Normah Mohd Noor
Wan Mohd Aizat
author_sort Azhani Abdul-Rahman
title RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening
title_short RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening
title_full RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening
title_fullStr RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening
title_full_unstemmed RNA-seq analysis of mangosteen (Garcinia mangostana L.) fruit ripening
title_sort rna-seq analysis of mangosteen (garcinia mangostana l.) fruit ripening
publisher Elsevier
series Genomics Data
issn 2213-5960
publishDate 2017-06-01
description Mangosteen (Garcinia mangostana L.) is known for its delectable taste and contains high amount of xanthones which have been reported to possess anti-cancer, anti-inflammatory and other bioactive properties. However, stage-specific regulation of mangosteen fruit ripening has never been studied in detail. We have performed a comparative transcriptomic analysis of three ripening stages (Stage 0, 2 and 6) of mangosteen. We have obtained a raw data from six libraries through Illumina HiSeq 4000. A total of ~40 Gb of raw data were generated. Clean reads of 650,887,650 (bp) were obtained from 656,913,570 (bp) raw reads. The raw transcriptome data were deposited to SRA database, with the BioProject accession number of PRJNA339916. These data will be beneficial for transcriptome profiling in order to study the regulation of mangosteen fruit ripening. The lack of a complete sequence database from this species impedes protein identification. These data sets provide a reference data for the exploration of novel genes or proteins to understand mangosteen fruit ripening behaviour.
topic Fruit ripening
Garcinia mangostana L.
Illumina sequencing
Transcriptome
url http://www.sciencedirect.com/science/article/pii/S2213596017300740
work_keys_str_mv AT azhaniabdulrahman rnaseqanalysisofmangosteengarciniamangostanalfruitripening
AT hoehangoh rnaseqanalysisofmangosteengarciniamangostanalfruitripening
AT kokkeongloke rnaseqanalysisofmangosteengarciniamangostanalfruitripening
AT normahmohdnoor rnaseqanalysisofmangosteengarciniamangostanalfruitripening
AT wanmohdaizat rnaseqanalysisofmangosteengarciniamangostanalfruitripening
_version_ 1724788810090283008