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
GCMO01005776GCMO01005776.1region
GCMO01005777GCMO01005777.1region
GCMO01005778GCMO01005778.1region
GCMO01005779GCMO01005779.1region
GCMO01005780GCMO01005780.1region
GCMO01005781GCMO01005781.1region
GCMO01005782GCMO01005782.1region
GCMO01005783GCMO01005783.1region
GCMO01005784GCMO01005784.1region
GCMO01005785GCMO01005785.1region
GCMO01005786GCMO01005786.1region
GCMO01005787GCMO01005787.1region
GCMO01005788GCMO01005788.1region
GCMO01005789GCMO01005789.1region
GCMO01005790GCMO01005790.1region
GCMO01005791GCMO01005791.1region
GCMO01005792GCMO01005792.1region
GCMO01005793GCMO01005793.1region
GCMO01005794GCMO01005794.1region
GCMO01005795GCMO01005795.1region
GCMO01005796GCMO01005796.1region
GCMO01005797GCMO01005797.1region
GCMO01005798GCMO01005798.1region
GCMO01005799GCMO01005799.1region
GCMO01005800GCMO01005800.1region

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