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
GCMO01008226GCMO01008226.1region
GCMO01008227GCMO01008227.1region
GCMO01008228GCMO01008228.1region
GCMO01008229GCMO01008229.1region
GCMO01008230GCMO01008230.1region
GCMO01008231GCMO01008231.1region
GCMO01008232GCMO01008232.1region
GCMO01008233GCMO01008233.1region
GCMO01008234GCMO01008234.1region
GCMO01008235GCMO01008235.1region
GCMO01008236GCMO01008236.1region
GCMO01008237GCMO01008237.1region
GCMO01008238GCMO01008238.1region
GCMO01008239GCMO01008239.1region
GCMO01008240GCMO01008240.1region
GCMO01008241GCMO01008241.1region
GCMO01008242GCMO01008242.1region
GCMO01008243GCMO01008243.1region
GCMO01008244GCMO01008244.1region
GCMO01008245GCMO01008245.1region
GCMO01008246GCMO01008246.1region
GCMO01008247GCMO01008247.1region
GCMO01008248GCMO01008248.1region
GCMO01008249GCMO01008249.1region
GCMO01008250GCMO01008250.1region

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