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Mammalian Genome

, Volume 14, Issue 3, pp 203–213 | Cite as

Characterization and radiation hybrid mapping of expressed sequence tags from the canine brain

  • Monica C. Roberts
  • Christophe C. Hitte
  • Julie A. Hendrickson
  • Daniel E. Hoffmann
  • Gail H. Flickinger
  • Mark S. Rutherford
  • Richard S. Guyon
  • Francis S. Galibert
  • James R. Mickelson

Abstract

Maps of the canine genome are now developing rapidly. Most of the markers on the current integrated canine radiation hybrid/genetic linkage/cytogenetic map are highly polymorphic microsatellite (type II) markers that are very useful for mapping disease loci. However, there is still an urgent need for the mapping of gene-based (type I) markers that are required for comparative mapping, as well as identifying candidate genes for disease loci that have been genetically mapped. We constructed an adult brain cDNA library as a resource to increase the number of gene-based markers on the canine genome map. Eighty-one percent of the 2700 sequenced expressed sequence tags (ESTs) represented unique sequences. The canine brain ESTs were compared with sequences in public databases to identify putative canine orthologs of human genes. One hundred nine of the canine ESTs were mapped on the latest canine radiation hybrid (RH) panel to determine the location of the respective canine gene. The addition of these new gene-based markers revealed three conserved segments (CS) between human and canine genomes previously detected by fluorescence in situ hybridization (FISH), but not by RH mapping. In addition, five new CS between dog and human were identified that had not been detected previously by RH mapping or FISH. This work has increased the number of gene-based markers on the canine RH map by approximately 30% and indicates the benefit to be gained by increasing the gene content of the current canine comparative map.

Keywords

Disease Locus Radiation Hybrid Identify Candidate Gene Hybrid Mapping Radiation Hybrid Mapping 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 2003

Authors and Affiliations

  • Monica C. Roberts
    • 1
  • Christophe C. Hitte
    • 2
  • Julie A. Hendrickson
    • 1
  • Daniel E. Hoffmann
    • 1
  • Gail H. Flickinger
    • 1
  • Mark S. Rutherford
    • 1
  • Richard S. Guyon
    • 2
  • Francis S. Galibert
    • 2
  • James R. Mickelson
    • 1
  1. 1.College of Veterinary Medicine, Department of Veterinary PathoBiology, University of Minnesota, 1988 Fitch Avenue, 295 Animal Science/Veterinary Medicine, St. Paul, Minnesota 55108, USA
  2. 2.UMR6061 CNRS, Génétique et Développement, Faculté de Médecine, 35043 Rennes Cedex, France

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