Literature DB >> 31687440

Data on small cardamom transcriptome associated with capsule rot disease.

K Mary Mathew1, Renjanan Reshma1, M Geethu1, Varghese Rithin1, K K Sabu2, F Nadiya2, Muhammad Ali Noushad2, Soumya S Dharan2, Y S Rao1, A B Remashree1.   

Abstract

Small cardamom (Elettaria cardamomum (L.) Maton, also known as the 'Queen of Spices' is a rhizomatous herbaceous monocot from the family Zingiberaceae. In the present study, using HiSeq™ 2000 RNA sequencing technology, transcriptome sequencing was performed for both control and disease stressed small cardamom leaf tissues. RNA-seq generated 46,931,637 (101 base) and 31,682,496 (101 base) raw reads and totally 9.93GB and 6.63GB of sequence data for cardamom control and stressed samples respectively. The raw data were submitted to NCBI SRA database of under the accession numbers SRX2512359 and SRX2512358 for the control and diseased samples respectively. The raw reads were quality filtered and assembled using TRINITY de novo assembler which created 1,11,495 (control) and 91,096 (diseased) contigs with N50 values 3013 (control) and 2729 (stressed). The data was further used to identify significantly differentially expressed unigenes between control and stressed samples. Assembled unigenes were further annotated and evaluated in silico to predict the function using publicly available databases and gene annotation tools.
© 2019 The Author(s).

Entities:  

Keywords:  Differential expression; RNA sequencing; Small cardamom; Transcriptome

Year:  2019        PMID: 31687440      PMCID: PMC6820072          DOI: 10.1016/j.dib.2019.104625

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Capsule rot disease, commonly known as Azhukal disease is reported to be one of the most serious fungal diseases in small cardamom caused by Phytophthora meadii [1] often leading to annual loss of 30–40% [2]. Under fungal infections R genes and many other defense related genes triggering disease tolerance to plants may get over expressed. Transcriptome data generated from leaves of plants grown under specific conditions could provide information on molecular mechanism underlying disease tolerance. Differential expression analysis of control and treated cardamom could compare the expression variation of particular genes in normal and diseased plant grown under similar conditions.

Data

Data shared in this article includes RNA-seq generated paired end strand specific 46,931,637 (101 base) and 31,682,496 (101 base) raw reads and totally 9.93GB and 6.63GB of sequence data for cardamom control and stressed samples respectively.

Experimental design, materials, and methods

Plant material

Leaf tissues from both sets, i.e., naturally infected capsule rot and non-infected control plants were collected followed by immediate freezing in liquid nitrogen. Ten biological replicates were pooled from leaf tissues under these two conditions [3].

Total RNA isolation and transcriptome sequencing

RNA extraction was done using a modified protocol of RNeasy Plant Mini Kit (Qiagen) and CTAB method [4]. RNA integrity and quality analysis was done using 2100 BioAnalyzer (Agilent Technologies). Illumina sequencing was performed using the HiSeq™ 2000 platform as per the manufacturer's instructions (Illumina, San Diego, CA). RNA-seq generated paired end strand specific 46,931,637 (101 base) and 31,682,496 (101 base) raw reads and totally 9.93GB and 6.63GB of sequence data for cardamom control and stressed samples respectively.

De novo transcriptome assembly and functional annotation

The raw reads were pre-processed to remove adapter sequences, low quality bases, tRNAs and rRNAs. De novo transcriptome assembly was performed with TRINITY program [5] to generate the assembled contigs. The assembler created 1,11,495 and 91,096 contigs for control and stressed cardamom samples (Table 1). The assembled unigenes were used for further downstream analysis such as annotation to publicly available databases, Gene Ontology (GO) enrichment and finally validation of differentially expressed genes using qPCR. Additionally, the reads from both pairs were combined and assembled together to generate a reference transcriptome (1,62,589 contigs, 310.7 MB). The information provided by the current study might be useful in developing molecular markers, SNPs, screening of R genes and marker assisted selection to develop superior cultivar varieties in cardamom.
Table 1

Read and assembly statistics of control and stressed cardamom data.

Plant MaterialControlDiseased
Total number of raw reads46,931,637*2 = 93,863,27431,682,496*2 = 63,364,992
Total number of bases9.93 GB6.63 GB
Initial GC%4344
Read length101101
GC% after trimming4343.5
Reads after adapter removal and quality trimming46,097,664*2 = 92,195,32831,183,779*2 = 62,367,558
Total contigs111,49591,096
Max Contig Length17,66716,840
N5030132729
Total Length243,651,614185,125,249
GC% after assembly39.9040.35
Total size of assembly274.5 MB210.6 MB
Read and assembly statistics of control and stressed cardamom data.

Specifications Table

SubjectAgricultural and Biological Sciences
Specific subject areaPlant Science
Type of dataText (FASTQ sequence files), table
How data were acquiredData were generated using RNA HiSeq™ 2000 RNA sequencing technology
Data formatRaw data in FASTQ format
Parameters for data collectionFreshly collected leaf samples (from both control and infected small cardamom plants) was used for RNA isolation
Description of data collectionRNA seq libraries representing control and capsule rot disease stressed small cardamom were prepared and transcriptome sequencing was performed and de novo assembled to generate unigenes
Data source locationPlant growth and treatments were given under controlled conditions at ICRI, Idukki, Kerala, India.Data was generated from Illumina HiSeq™ 2000
Data accessibilityData is available at NCBI SRA https://www.ncbi.nlm.nih.gov/sra/SRX2512359https://www.ncbi.nlm.nih.gov/sra/SRX2512358
Value of the Data

Capsule rot disease, commonly known as Azhukal disease is reported to be one of the most serious fungal diseases in small cardamom caused by Phytophthora meadii [1] often leading to annual loss of 30–40% [2].

Under fungal infections R genes and many other defense related genes triggering disease tolerance to plants may get over expressed.

Transcriptome data generated from leaves of plants grown under specific conditions could provide information on molecular mechanism underlying disease tolerance.

Differential expression analysis of control and treated cardamom could compare the expression variation of particular genes in normal and diseased plant grown under similar conditions.

  3 in total

1.  High-quality RNA extraction from small cardamom tissues rich in polysaccharides and polyphenols.

Authors:  Fasiludeen Nadiya; Narayanannair Anjali; Appukuttannair Gangaprasad; Kalluvettankuzhy Krishnannair Sabu
Journal:  Anal Biochem       Date:  2015-06-03       Impact factor: 3.365

2.  De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis.

Authors:  Brian J Haas; Alexie Papanicolaou; Moran Yassour; Manfred Grabherr; Philip D Blood; Joshua Bowden; Matthew Brian Couger; David Eccles; Bo Li; Matthias Lieber; Matthew D MacManes; Michael Ott; Joshua Orvis; Nathalie Pochet; Francesco Strozzi; Nathan Weeks; Rick Westerman; Thomas William; Colin N Dewey; Robert Henschel; Richard D LeDuc; Nir Friedman; Aviv Regev
Journal:  Nat Protoc       Date:  2013-07-11       Impact factor: 13.491

Review 3.  Bulked sample analysis in genetics, genomics and crop improvement.

Authors:  Cheng Zou; Pingxi Wang; Yunbi Xu
Journal:  Plant Biotechnol J       Date:  2016-04-28       Impact factor: 9.803

  3 in total

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