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
GCMO01013476GCMO01013476.1region
GCMO01013477GCMO01013477.1region
GCMO01013478GCMO01013478.1region
GCMO01013479GCMO01013479.1region
GCMO01013480GCMO01013480.1region
GCMO01013481GCMO01013481.1region
GCMO01013482GCMO01013482.1region
GCMO01013483GCMO01013483.1region
GCMO01013484GCMO01013484.1region
GCMO01013485GCMO01013485.1region
GCMO01013486GCMO01013486.1region
GCMO01013487GCMO01013487.1region
GCMO01013488GCMO01013488.1region
GCMO01013489GCMO01013489.1region
GCMO01013490GCMO01013490.1region
GCMO01013491GCMO01013491.1region
GCMO01013492GCMO01013492.1region
GCMO01013493GCMO01013493.1region
GCMO01013494GCMO01013494.1region
GCMO01013495GCMO01013495.1region
GCMO01013496GCMO01013496.1region
GCMO01013497GCMO01013497.1region
GCMO01013498GCMO01013498.1region
GCMO01013499GCMO01013499.1region
GCMO01013500GCMO01013500.1region

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