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BMC Plant Biol. 2011 Oct 28;11:147. doi: 10.1186/1471-2229-11-147.

Identification, utilisation and mapping of novel transcriptome-based markers from blackcurrant (Ribes nigrum).

Author information

  • 1Cell & Molecular Sciences, James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK. joanne.russell@hutton.ac.uk

Abstract

BACKGROUND:

Deep-level second generation sequencing (2GS) technologies are now being applied to non-model species as a viable and favourable alternative to Sanger sequencing. Large-scale SNP discovery was undertaken in blackcurrant (Ribes nigrum L.) using transcriptome-based 2GS 454 sequencing on the parental genotypes of a reference mapping population, to generate large numbers of novel markers for the construction of a high-density linkage map.

RESULTS:

Over 700,000 reads were produced, from which a total of 7,000 SNPs were found. A subset of polymorphic SNPs was selected to develop a 384-SNP OPA assay using the Illumina BeadXpress platform. Additionally, the data enabled identification of 3,000 novel EST-SSRs. The selected SNPs and SSRs were validated across diverse Ribes germplasm, including mapping populations and other selected Ribes species.SNP-based maps were developed from two blackcurrant mapping populations, incorporating 48% and 27% of assayed SNPs respectively. A relatively high proportion of visually monomorphic SNPs were investigated further by quantitative trait mapping of theta score outputs from BeadStudio analysis, and this enabled additional SNPs to be placed on the two maps.

CONCLUSIONS:

The use of 2GS technology for the development of markers is superior to previously described methods, in both numbers of markers and biological informativeness of those markers. Whilst the numbers of reads and assembled contigs were comparable to similar sized studies of other non-model species, here a high proportion of novel genes were discovered across a wide range of putative function and localisation. The potential utility of markers developed using the 2GS approach in downstream breeding applications is discussed.

PMID:
22035129
[PubMed - indexed for MEDLINE]
PMCID:
PMC3217869
Free PMC Article

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