Detecting single-feature polymorphisms using oligonucleotide arrays and robustified projection pursuit

Xinping Cui, Jin Xu, Rehana Asghar, Pascal Condamine, Jan T. Svensson, Steve Wanamaker, Nils Stein, Mikeal Roose, Timothy J. Close

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

Motivation: Genomic DNA was hybridized to oligonucleotide microarrays to identify single-feature polymorphisms (SFP) for Arabidopsis, which has a genome size of ∼130 Mb. However, that method does not work well for organisms such as barley, with a much larger 5200 Mb genome. In the present study, we demonstrate SFP detection using a small number of replicate datasets and complex RNA as a surrogate for barley DNA. To identify single probes defining SFPs in the data, we developed a method using robustified projection pursuit (RPP). This method first evaluates, for each probe set, the overall differentiation of signal intensities between two genotypes and then measures the contribution of the individual probes within the probe set to the overall differentiation. Results: RNA from whole seedlings with and without dehydration stress provided 'present' calls for ∼75% of probe sets. Using triplicated data, among the 5% of 'present' probe sets identified as most likely to contain at least one SFP probe, at least 80% are correctly predicted. This was determined by direct sequencing of PCR amplicons derived from barley genomic DNA. Using a 5 percentile cutoff, we defined 2007 SFP probes contained in 1684 probe sets by combining three parental genotype comparisons: Steptoe versus Morex, Morex versus Barke and Oregon Wolfe Barley Dominant versus Recessive.

Original languageEnglish
Pages (from-to)3852-3858
Number of pages7
JournalBioinformatics
Volume21
Issue number20
DOIs
Publication statusPublished - Oct 2005
Externally publishedYes

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