Bioinformatics Advance Access originally published online on August 23, 2005
Bioinformatics 2005 21(20):3852-3858; doi:10.1093/bioinformatics/bti640
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Detecting single-feature polymorphisms using oligonucleotide arrays and robustified projection pursuit
1Department of Statistics, University of California Riverside, CA 92521, USA
2Department of Botany and Plant Sciences, University of California Riverside, CA 92521, USA
3Department of Botany, University of Arid Agriculture Rawalpindi 46300, Pakistan
4Institute of Plant Genetics and Crop Plant Research (IPK), Department Genebank, AG MOM Corrensstrasse 3, D-06466 Gatersleben, Germany
*To whom correspondence should be addressed.
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.
Availability: The algorithm is available upon request from the corresponding author.
Contact: xinping.cui{at}ucr.edu
Supplementary Information: http://faculty.ucr.edu/~xpcui
Received on May 13, 2005; revised on August 17, 2005; accepted on August 18, 2005
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