Transcriptome sequencing of field pea and faba bean for discovery and validation of SSR genetic markers

Publication Overview
TitleTranscriptome sequencing of field pea and faba bean for discovery and validation of SSR genetic markers
AuthorsKaur S, Pembleton LW, Cogan NO, Savin KW, Leonforte T, Paull J, Materne M, Forster JW
TypeJournal Article
Journal NameBMC genomics
Volume13
Year2012
Page(s)104
CitationKaur S, Pembleton LW, Cogan NO, Savin KW, Leonforte T, Paull J, Materne M, Forster JW. Transcriptome sequencing of field pea and faba bean for discovery and validation of SSR genetic markers. BMC genomics. 2012; 13:104.

Abstract

BACKGROUND
Field pea (Pisum sativum L.) and faba bean (Vicia faba L.) are cool-season grain legume species that provide rich sources of food for humans and fodder for livestock. To date, both species have been relative 'genomic orphans' due to limited availability of genetic and genomic information. A significant enrichment of genomic resources is consequently required in order to understand the genetic architecture of important agronomic traits, and to support germplasm enhancement, genetic diversity, population structure and demographic studies.

RESULTS
cDNA samples obtained from various tissue types of specific field pea and faba bean genotypes were sequenced using 454 Roche GS FLX Titanium technology. A total of 720,324 and 304,680 reads for field pea and faba bean, respectively, were de novo assembled to generate sets of 70,682 and 60,440 unigenes. Consensus sequences were compared against the genome of the model legume species Medicago truncatula Gaertn., as well as that of the more distantly related, but better-characterised genome of Arabidopsis thaliana L.. In comparison to M. truncatula coding sequences, 11,737 and 10,179 unique hits were obtained from field pea and faba bean. Totals of 22,057 field pea and 18,052 faba bean unigenes were subsequently annotated from GenBank. Comparison to the genome of soybean (Glycine max L.) resulted in 19,451 unique hits for field pea and 16,497 unique hits for faba bean, corresponding to c. 35% and 30% of the known gene space, respectively. Simple sequence repeat (SSR)-containing expressed sequence tags (ESTs) were identified from consensus sequences, and totals of 2,397 and 802 primer pairs were designed for field pea and faba bean. Subsets of 96 EST-SSR markers were screened for validation across modest panels of field pea and faba bean cultivars, as well as related non-domesticated species. For field pea, 86 primer pairs successfully obtained amplification products from one or more template genotypes, of which 59% revealed polymorphism between 6 genotypes. In the case of faba bean, 81 primer pairs displayed successful amplification, of which 48% detected polymorphism.

CONCLUSIONS
The generation of EST datasets for field pea and faba bean has permitted effective unigene identification and functional sequence annotation. EST-SSR loci were detected at incidences of 14-17%, permitting design of comprehensive sets of primer pairs. The subsets from these primer pairs proved highly useful for polymorphism detection within Pisum and Vicia germplasm.

Features
This publication contains information about 22,857 features:
Feature NameUniquenameType
PBA_PS_0051PBA_PS_0051genetic_marker
PBA_PS_0052PBA_PS_0052genetic_marker
PBA_PS_0053PBA_PS_0053genetic_marker
PBA_PS_0054PBA_PS_0054genetic_marker
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PBA_PS_0056PBA_PS_0056genetic_marker
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PBA_PS_0058PBA_PS_0058genetic_marker
PBA_PS_0059PBA_PS_0059genetic_marker
PBA_PS_0060PBA_PS_0060genetic_marker
PBA_PS_0061PBA_PS_0061genetic_marker
PBA_PS_0062PBA_PS_0062genetic_marker
PBA_PS_0063PBA_PS_0063genetic_marker
PBA_PS_0064PBA_PS_0064genetic_marker
PBA_PS_0065PBA_PS_0065genetic_marker
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PBA_PS_0067PBA_PS_0067genetic_marker
PBA_PS_0068PBA_PS_0068genetic_marker
PBA_PS_0069PBA_PS_0069genetic_marker
PBA_PS_0070PBA_PS_0070genetic_marker
PBA_PS_0071PBA_PS_0071genetic_marker
PBA_PS_0072PBA_PS_0072genetic_marker
PBA_PS_0073PBA_PS_0073genetic_marker
PBA_PS_0074PBA_PS_0074genetic_marker
PBA_PS_0075PBA_PS_0075genetic_marker

Pages

Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic
ISSN1471-2164
eISSN1471-2164
Publication Date2012
Journal AbbreviationBMC Genomics
DOI10.1186/1471-2164-13-104
Elocation10.1186/1471-2164-13-104
Publication TypeJournal Article
Journal CountryEngland
LanguageEnglish
Language Abbreng
Publication TypeResearch Support, Non-U.S. Gov't