De novo assembly and characterisation of the field pea transcriptome using RNA-Seq

Publication Overview
TitleDe novo assembly and characterisation of the field pea transcriptome using RNA-Seq
AuthorsSudheesh S, Sawbridge TI, Cogan NO, Kennedy P, Forster JW, Kaur S
TypeJournal Article
Journal NameBMC genomics
Volume16
Issue1
Year2015
Page(s)611
CitationSudheesh S, Sawbridge TI, Cogan NO, Kennedy P, Forster JW, Kaur S. De novo assembly and characterisation of the field pea transcriptome using RNA-Seq. BMC genomics. 2015; 16(1):611.

Abstract

BACKGROUND
Field pea (Pisum sativum L.) is a cool-season grain legume that is cultivated world-wide for both human consumption and stock-feed purposes. Enhancement of genetic and genomic resources for field pea will permit improved understanding of the control of traits relevant to crop productivity and quality. Advances in second-generation sequencing and associated bioinformatics analysis now provide unprecedented opportunities for the development of such resources. The objective of this study was to perform transcriptome sequencing and characterisation from two genotypes of field pea that differ in terms of seed and plant morphological characteristics.

RESULTS
Transcriptome sequencing was performed with RNA templates from multiple tissues of the field pea genotypes Kaspa and Parafield. Tissue samples were collected at various growth stages, and a total of 23 cDNA libraries were sequenced using Illumina high-throughput sequencing platforms. A total of 407 and 352 million paired-end reads from the Kaspa and Parafield transcriptomes, respectively were assembled into 129,282 and 149,272 contigs, which were filtered on the basis of known gene annotations, presence of open reading frames (ORFs), reciprocal matches and degree of coverage. Totals of 126,335 contigs from Kaspa and 145,730 from Parafield were subsequently selected as the reference set. Reciprocal sequence analysis revealed that c. 87 % of contigs were expressed in both cultivars, while a small proportion were unique to each genotype. Reads from different libraries were aligned to the genotype-specific assemblies in order to identify and characterise expression of contigs on a tissue-specific basis, of which 87 % were expressed in more than one tissue, while others showed distinct expression patterns in specific tissues, providing unique transcriptome signatures.

CONCLUSION
This study provided a comprehensive assembled and annotated transcriptome set for field pea that can be used for development of genetic markers, in order to assess genetic diversity, construct linkage maps, perform trait-dissection and implement whole-genome selection strategies in varietal improvement programs, as well to identify target genes for genetic modification approaches on the basis of annotation and expression analysis. In addition, the reference field pea transcriptome will prove highly valuable for comparative genomics studies and construction of a finalised genome sequence.

Features
This publication contains information about 271,056 features:
Feature NameUniquenameType
GCMO01000351GCMO01000351.1region
GCMO01000352GCMO01000352.1region
GCMO01000353GCMO01000353.1region
GCMO01000354GCMO01000354.1region
GCMO01000355GCMO01000355.1region
GCMO01000356GCMO01000356.1region
GCMO01000357GCMO01000357.1region
GCMO01000358GCMO01000358.1region
GCMO01000359GCMO01000359.1region
GCMO01000360GCMO01000360.1region
GCMO01000361GCMO01000361.1region
GCMO01000362GCMO01000362.1region
GCMO01000363GCMO01000363.1region
GCMO01000364GCMO01000364.1region
GCMO01000365GCMO01000365.1region
GCMO01000366GCMO01000366.1region
GCMO01000367GCMO01000367.1region
GCMO01000368GCMO01000368.1region
GCMO01000369GCMO01000369.1region
GCMO01000370GCMO01000370.1region
GCMO01000371GCMO01000371.1region
GCMO01000372GCMO01000372.1region
GCMO01000373GCMO01000373.1region
GCMO01000374GCMO01000374.1region
GCMO01000375GCMO01000375.1region

Pages

Properties
Additional details for this publication include:
Property NameValue
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryEngland
Publication ModelElectronic
ISSN1471-2164
eISSN1471-2164
Publication Date2015
Journal AbbreviationBMC Genomics
DOI10.1186/s12864-015-1815-7
Elocation10.1186/s12864-015-1815-7