Comprehensive transcriptome analysis of the highly complex Pisum sativum genome using next generation sequencing

Publication Overview
TitleComprehensive transcriptome analysis of the highly complex Pisum sativum genome using next generation sequencing
AuthorsFranssen SU, Shrestha RP, Bräutigam A, Bornberg-Bauer E, Weber AP
TypeJournal Article
Journal NameBMC genomics
Volume12
Year2011
Page(s)227
CitationFranssen SU, Shrestha RP, Bräutigam A, Bornberg-Bauer E, Weber AP. Comprehensive transcriptome analysis of the highly complex Pisum sativum genome using next generation sequencing. BMC genomics. 2011; 12:227.

Abstract

BACKGROUND
The garden pea, Pisum sativum, is among the best-investigated legume plants and of significant agro-commercial relevance. Pisum sativum has a large and complex genome and accordingly few comprehensive genomic resources exist.

RESULTS
We analyzed the pea transcriptome at the highest possible amount of accuracy by current technology. We used next generation sequencing with the Roche/454 platform and evaluated and compared a variety of approaches, including diverse tissue libraries, normalization, alternative sequencing technologies, saturation estimation and diverse assembly strategies. We generated libraries from flowers, leaves, cotyledons, epi- and hypocotyl, and etiolated and light treated etiolated seedlings, comprising a total of 450 megabases. Libraries were assembled into 324,428 unigenes in a first pass assembly.A second pass assembly reduced the amount to 81,449 unigenes but caused a significant number of chimeras. Analyses of the assemblies identified the assembly step as a major possibility for improvement. By recording frequencies of Arabidopsis orthologs hit by randomly drawn reads and fitting parameters of the saturation curve we concluded that sequencing was exhaustive. For leaf libraries we found normalization allows partial recovery of expression strength aside the desired effect of increased coverage. Based on theoretical and biological considerations we concluded that the sequence reads in the database tagged the vast majority of transcripts in the aerial tissues. A pathway representation analysis showed the merits of sampling multiple aerial tissues to increase the number of tagged genes. All results have been made available as a fully annotated database in fasta format.

CONCLUSIONS
We conclude that the approach taken resulted in a high quality - dataset which serves well as a first comprehensive reference set for the model legume pea. We suggest future deep sequencing transcriptome projects of species lacking a genomics backbone will need to concentrate mainly on resolving the issues of redundancy and paralogy during transcriptome assembly.

Features
This publication contains information about 84,267 features:
Feature NameUniquenameType
JI923072JI923072.1region
JI923071JI923071.1region
JI923070JI923070.1region
JI923069JI923069.1region
JI923068JI923068.1region
JI923067JI923067.1region
JI923066JI923066.1region
JI923065JI923065.1region
JI923064JI923064.1region
JI923063JI923063.1region
JI923062JI923062.1region
JI923061JI923061.1region
JI923060JI923060.1region
JI923059JI923059.1region
JI923058JI923058.1region
JI923057JI923057.1region
JI923056JI923056.1region
JI923055JI923055.1region
JI923054JI923054.1region
JI923053JI923053.1region
JI923052JI923052.1region
JI923051JI923051.1region
JI923050JI923050.1region
JI923049JI923049.1region
JI923048JI923048.1region

Pages

Properties
Additional details for this publication include:
Property NameValue
Publication Date2011
Journal AbbreviationBMC Genomics
DOI10.1186/1471-2164-12-227
Elocation10.1186/1471-2164-12-227
Journal CountryEngland
Publication ModelElectronic
ISSN1471-2164
eISSN1471-2164
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Publication TypeResearch Support, Non-U.S. Gov't