Dataset of de novo assembly and functional annotation of the transcriptome of blueberry (Vaccinium spp.).

Publication Overview
TitleDataset of de novo assembly and functional annotation of the transcriptome of blueberry (Vaccinium spp.).
AuthorsQi X, Ogden EL, Ehlenfeldt MK, Rowland LJ
TypeJournal Article
Journal NameData in brief
Volume25
Year2019
Page(s)104390
CitationQi X, Ogden EL, Ehlenfeldt MK, Rowland LJ. Dataset of de novo assembly and functional annotation of the transcriptome of blueberry (Vaccinium spp.).. Data in brief. 2019 Aug; 25:104390.

Abstract

Blueberry is an economically important berry crop. Both production and consumption of blueberries have increased sharply worldwide in recent years at least partly due to their known health benefits. The development of improved genomic resources for blueberry, such as a well-assembled genome and transcriptome, could accelerate breeding through genomic-assisted approaches. To enrich available transcriptome data and identify genes potentially involved in fruit quality, RNA sequencing was performed on fruit tissue from two northern-adapted hybrid blueberry breeding populations. RNA-seq was carried out using the Illumina HiSeqTM 2500 platform. Because of the absence of a reference-grade genome for blueberry, a transcriptome was de novo assembled from this RNA-seq data and other publicly available transcriptome data from blueberry downloaded from the National Center for Biotechnology Information (NCBI) Short Read Archive (SRA) using Trinity. After removing redundancy, this resulted in a dataset of 91,861 blueberry unigenes. This unigene dataset was functionally annotated using the NCBI-Nr protein database. All raw reads from the breeding populations were deposited in the NCBI SRA with accession numbers SRR6281886, SRR6281887, SRR6281888, and SRR6281889. The de novo transcriptome assembly was deposited at NCBI Transcriptome Shotgun Assembly (TSA) database with accession number GGAB00000000. These data will provide real expression evidence for the blueberry genome gene prediction and gene functional annotation and a reference transcriptome for future gene expression studies involving blueberry fruit.

Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic-eCollection
ISSN2352-3409
eISSN2352-3409
Publication Date2019 Aug
Journal AbbreviationData Brief
DOI10.1016/j.dib.2019.104390
Elocation10.1016/j.dib.2019.104390
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryNetherlands
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PMID: PubMedPMID:31497632