跳到主要导航 跳到搜索 跳到主要内容

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
  • *此作品的通讯作者
  • University of California at Riverside
  • University of Arid Agriculture Rawalpindi
  • Leibniz Institute of Plant Genetics and Crop Plant Research

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
页(从-至)3852-3858
页数7
期刊Bioinformatics
21
20
DOI
出版状态已出版 - 10月 2005
已对外发布

学术指纹

探究 'Detecting single-feature polymorphisms using oligonucleotide arrays and robustified projection pursuit' 的科研主题。它们共同构成独一无二的学术指纹。

引用此