High-Density Rat Radiation Hybrid Maps Containing Over 24,000 SSLPs, Genes, and ESTs Provide a Direct Link to the Rat Genome Sequence

  1. Anne E. Kwitek1,5,
  2. Jo Gullings-Handley1,
  3. Jiaming Yu1,
  4. Danilo C. Carlos1,2,
  5. Kimberly Orlebeke1,
  6. Jeff Nie1,
  7. Jeffrey Eckert1,
  8. Angela Lemke1,
  9. Jaime Wendt Andrae1,
  10. Susan Bromberg1,
  11. Dean Pasko1,
  12. Dan Chen1,3,
  13. Todd E. Scheetz4,
  14. Thomas L. Casavant4,
  15. M. Bento Soares4,
  16. Val C. Sheffield4,
  17. Peter J. Tonellato1, and
  18. Howard J. Jacob1
  1. 1 Human & Molecular Genetics Center and Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
  2. 2 University of Campinas, Campinas, Brazil 13083-970
  3. 3 PointOne Systems, LLC, Milwaukee, Wisconsin 53226, USA
  4. 4 Howard Hughes Medical Institute, The University of Iowa, Iowa City, Iowa 52242, USA

Abstract

The laboratory rat is a major model organism for systems biology. To complement the cornucopia of physiological and pharmacological data generated in the rat, a large genomic toolset has been developed, culminating in the release of the rat draft genome sequence. The rat draft sequence used a variety of assembly packages, as well as data from the Radiation Hybrid (RH) map of the rat as part of their validation. As part of the Rat Genome Project, we have been building a high-density RH map to facilitate data integration from multiple maps and now to help validate the genome assembly. By incorporating vectors from our lab and several other labs, we have doubled the number of simple sequence length polymorphisms (SSLPs), genes, expressed sequence tags (ESTs), and sequence-tagged sites (STSs) compared to any other genome-wide rat map, a total of 24,437 elements. During the process, we also identified a novel approach for integrating the RH placement results from multiple maps. This new integrated RH map contains approximately 10 RH-mapped elements per Mb on the genome assembly, enabling the RH maps to serve as a scaffold for a variety of data visualization tools.

Footnotes

  • Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1968704.

  • 5 Corresponding author. E-MAIL akwitek{at}mcw.edu; FAX (414) 456-6516.

    • Accepted November 17, 2003.
    • Received September 12, 2003.
| Table of Contents

Preprint Server