title: In silico physical mapping software for the Triticum aestivum genome.
abstract: The large size of the Triticum aestivum genome makes it unlikely that a complete genome sequence for wheat will be available in the near future. Exploiting the conserved genome organization between wheat and rice and existing genomic resources, we have constructed in silico physical mapping software for wheat, assigning a gross physical location(s) into chromosome bins to 22,626 representative wheat gene sequences. To validate the predictions from the software we compared the predicted locations of ten ESTs to their positions experimentally determined by SNP marker analysis. Six of the sequences were correctly positioned on the map including four that demonstrated a high level of colinearity with their orthologous rice genomic region. This tool will facilitate the development of molecular markers for regions of interest and the creation of map-based cloning strategies in areas demonstrating high levels of sequence conservation and organization between wheat and rice.
authors.affiliation: Cereal Research Centre, Agriculture and Agri-Food Canada, 195 Dafoe Road, R3T 2M9, Winnipeg, MB, Canada. tbanks@agr.gc.ca
authors.forename: Travis W
authors.initials: TW
authors.lastname: Banks
authors.forename: Daryl J
authors.initials: DJ
authors.lastname: Somers
authors.forename: Sylvie
authors.initials: S
authors.lastname: Cloutier
mesh_terms: D019295:Computational Biology; D008957:Models, Genetic; D020161:Physical Chromosome Mapping; D012984:Software; D014908:Triticum / Q000235:genetics*