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Cited 15 time in webofscience Cited 17 time in scopus
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RNA-seq analysis of Rubus idaeus cv. Nova: transcriptome sequencing and de novo assembly for subsequent functional genomics approaches

Authors
Hyun, Tae KyungLee, SarahKumar, DhineshRim, YeonggilKumar, RiteshLee, Sang YeolLee, Choong HwanKim, Jae-Yean
Issue Date
Oct-2014
Publisher
SPRINGER
Keywords
Transcriptome; De novo assembly; GABA; Anthocyanin; Rubus idaeus cv. Nova
Citation
PLANT CELL REPORTS, v.33, no.10, pp 1617 - 1628
Pages
12
Indexed
SCI
SCIE
SCOPUS
Journal Title
PLANT CELL REPORTS
Volume
33
Number
10
Start Page
1617
End Page
1628
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/18757
DOI
10.1007/s00299-014-1641-4
ISSN
0721-7714
1432-203X
Abstract
Using Illumina sequencing technology, we have generated the large-scale transcriptome sequencing data containing abundant information on genes involved in the metabolic pathways in R. idaeus cv. Nova fruits. Rubus idaeus (Red raspberry) is one of the important economical crops that possess numerous nutrients, micronutrients and phytochemicals with essential health benefits to human. The molecular mechanism underlying the ripening process and phytochemical biosynthesis in red raspberry is attributed to the changes in gene expression, but very limited transcriptomic and genomic information in public databases is available. To address this issue, we generated more than 51 million sequencing reads from R. idaeus cv. Nova fruit using Illumina RNA-Seq technology. After de novo assembly, we obtained 42,604 unigenes with an average length of 812 bp. At the protein level, Nova fruit transcriptome showed 77 and 68 % sequence similarities with Rubus coreanus and Fragaria versa, respectively, indicating the evolutionary relationship between them. In addition, 69 % of assembled unigenes were annotated using public databases including NCBI non-redundant, Cluster of Orthologous Groups and Gene ontology database, suggesting that our transcriptome dataset provides a valuable resource for investigating metabolic processes in red raspberry. To analyze the relationship between several novel transcripts and the amounts of metabolites such as gamma-aminobutyric acid and anthocyanins, real-time PCR and target metabolite analysis were performed on two different ripening stages of Nova. This is the first attempt using Illumina sequencing platform for RNA sequencing and de novo assembly of Nova fruit without reference genome. Our data provide the most comprehensive transcriptome resource available for Rubus fruits, and will be useful for understanding the ripening process and for breeding R. idaeus cultivars with improved fruit quality.
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