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. 2015 Oct 19;6:271–272. doi: 10.1016/j.gdata.2015.10.013

De novo transcriptome assembly of a sour cherry cultivar, Schattenmorelle

Yeonhwa Jo a,1, Hyosub Chu a,1, Jin Kyong Cho b, Hoseong Choi a, Sen Lian a, Won Kyong Cho a,
PMCID: PMC4664768  PMID: 26697395

Abstract

Sour cherry (Prunus cerasus) in the genus Prunus in the family Rosaceae is one of the most popular stone fruit trees worldwide. Of known sour cherry cultivars, the Schattenmorelle is a famous old sour cherry with a high amount of fruit production. The Schattenmorelle was selected before 1650 and described in the 1800s. This cultivar was named after gardens of the Chateau de Moreille in which the cultivar was initially found. In order to identify new genes and to develop genetic markers for sour cherry, we performed a transcriptome analysis of a sour cherry. We selected the cultivar Schattenmorelle, which is among commercially important cultivars in Europe and North America. We obtained 2.05 GB raw data from the Schattenmorelle (NCBI accession number: SRX1187170). De novo transcriptome assembly using Trinity identified 61,053 transcripts in which N50 was 611 bp. Next, we identified 25,585 protein coding sequences using TransDecoder. The identified proteins were blasted against NCBI's non-redundant database for annotation. Based on blast search, we taxonomically classified the obtained sequences. As a result, we provide the transcriptome of sour cherry cultivar Schattenmorelle using next generation sequencing.

Keywords: Cherry, Cultivar, RNA-Seq, Transcriptome


Specifications
Organism/cell line/tissue Sour cherry (Prunus cerasus subsp. acida)/leaves
Sex N.A.
Sequencer or array type HiSeq2000
Data format Raw and processed
Experimental factors Transcriptome profiling of a sour cherry cultivar Schattenmorelle
Experimental features Leaves of a sour cherry cultivar Schattenmorelle were harvested for total RNA extraction. Prepared libraries were paired-end sequenced by HiSeq 2000 system. The obtained data was subjected for de novo transcriptome assembly using Trinity, and coding regions were predicted by TransDecoder. We performed BLASTP against the NCBI non-redundant (nr) dataset to annotate identified proteins.
Consent N/A
Sample source location Hoengseong, South Korea (37°28′49.6″N 127°58′34.3″E)

1. Direct link to deposited data

http://www.ncbi.nlm.nih.gov/sra/SRX1187170 for Sour cherry cultivar Schattenmorelle.

2. Introduction

Sour cherry (Prunus cerasus) in the genus Prunus in the family Rosaceae is one of the most popular stone fruit trees worldwide [1]. Of known sour cherry cultivars, the Schattenmorelle is a famous old sour cherry with a high amount of fruit production. The Schattenmorelle was selected before 1650 and described in the 1800s. This cultivar was named after gardens of the Chateau de Moreille in which the cultivar was initially found. In order to identify new genes and to develop genetic markers for sour cherry, we performed transcriptome analysis of a sour cherry. We selected the cultivar Schattenmorelle, which is among commercially important cultivars in Europe and North America.

3. Experimental design, materials and methods

3.1. Plant materials

The sour cherry cultivar Schattenmorelle was grown in an orchard located in Kadam-ri, Hoengseong-up, South Korea (37°28′49.6″N 127°58′34.3″E). Five leaves from a single tree were harvested and immediately frozen in liquid nitrogen for further experiments.

3.2. RNA isolation, library preparation, and sequencing

Leaves were pooled and used for total RNAs extraction using Fruit-mate for RNA Purification (Takara, Shiga, Japan) and the RNeasy Plant Mini Kit (Qiagen, Hilden, Germany). For mRNA library preparation, we used the TruSeq RNA Library Prep Kit v2 according to manufacturer's instructions (Illumina, San Diego, U.S.A.). In brief, the poly-A containing mRNAs were isolated using poly-T oligo-attached magnetic beads. The first strand cDNA followed by second strand cDNA were synthesized from purified mRNAs. End repair was performed followed by adenylation of 3′ ends. Adapters were ligated and PCR was conducted to selectively enrich DNA fragments with adapters and to amplify the amount of DNA in the library, respectively. The quality control of generated libraries were conducted using the 2100 Bioanalyzer (Agilent, Santa Clara, U.S.A.). The libraries were paired-end sequenced by Macrogen Co. (Seoul, South Korea) using the HiSeq 2000 platform.

3.3. De novo transcriptome assembly, identification protein coding regions, and annotation

We obtained 2.05 GB raw data from the Schattenmorelle. De novo transcriptome assembly was performed using Trinity, which uses the de Bruijn graphs algorithm [2]. Detailed information of assembled transcriptome was summarized in Table 1. The number of total transcripts was 61,053. N50 was 611. Next, we identified candidate coding regions within the assembled transcripts using the TransDecoder program implemented in the Trinity software distribution. We identified 25,585 protein coding sequences. Based on blast search, we taxonomically classified the obtained sequences using the MEGAN program [3]. Most sequences (97.27%, 24,889 sequences) were derived from eukaryota, followed by viruses (28 sequences), not assigned (28 sequences), and bacteria (three sequences). We identified 607 proteins that are not homologous to known protein sequences.

Table 1.

Summary of de novo assembled a sour cherry cultivar Schattenmorelle.

Index Schattenmorelle
Total trinity transcripts 61,053
Total trinity components 51,176
Percent GC 42.98
Contig N50 611
Median contig length 340
Average contig 506.61
Total assembled bases 30,929,971

Conflict of interest

The authors declare that they have no competing interests.

Acknowledgment

This work was carried out with the support of “Cooperative Research Program for Agriculture Science & Technology Development (Project No. PJ00976401)” Rural Development Administration, Republic of Korea.

References

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