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
GCMO01010401GCMO01010401.1region
GCMO01010402GCMO01010402.1region
GCMO01010403GCMO01010403.1region
GCMO01010404GCMO01010404.1region
GCMO01010405GCMO01010405.1region
GCMO01010406GCMO01010406.1region
GCMO01010407GCMO01010407.1region
GCMO01010408GCMO01010408.1region
GCMO01010409GCMO01010409.1region
GCMO01010410GCMO01010410.1region
GCMO01010411GCMO01010411.1region
GCMO01010412GCMO01010412.1region
GCMO01010413GCMO01010413.1region
GCMO01010414GCMO01010414.1region
GCMO01010415GCMO01010415.1region
GCMO01010416GCMO01010416.1region
GCMO01010417GCMO01010417.1region
GCMO01010418GCMO01010418.1region
GCMO01010419GCMO01010419.1region
GCMO01010420GCMO01010420.1region
GCMO01010421GCMO01010421.1region
GCMO01010422GCMO01010422.1region
GCMO01010423GCMO01010423.1region
GCMO01010424GCMO01010424.1region
GCMO01010425GCMO01010425.1region

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