The Automatic Detection of Homologous Regions (ADHoRe) and Its Application to Microcolinearity Between Arabidopsis and Rice

  1. Klaas Vandepoele1,
  2. Yvan Saeys1,
  3. Cedric Simillion,
  4. Jeroen Raes, and
  5. Yves Van de Peer2
  1. Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology, Ghent University, B-9000 Gent, Belgium

Abstract

It is expected that one of the merits of comparative genomics lies in the transfer of structural and functional information from one genome to another. This is based on the observation that, although the number of chromosomal rearrangements that occur in genomes is extensive, different species still exhibit a certain degree of conservation regarding gene content and gene order. It is in this respect that we have developed a new software tool for the Automatic Detection of Homologous Regions (ADHoRe). ADHoRe was primarily developed to find large regions of microcolinearity, taking into account different types of microrearrangements such as tandem duplications, gene loss and translocations, and inversions. Such rearrangements often complicate the detection of colinearity, in particular when comparing more anciently diverged species. Application of ADHoRe to the complete genome of Arabidopsis and a large collection of concatenated rice BACs yields more than 20 regions showing statistically significant microcolinearity between both plant species. These regions comprise from 4 up to 11 conserved homologous gene pairs. We predict the number of homologous regions and the extent of microcolinearity to increase significantly once better annotations of the rice genome become available.

Footnotes

  • 1 These authors contributed equally to this work.

  • 2 Corresponding author.

  • E-MAIL yvdp{at}gengenp.rug.ac.be; FAX 32-9-264-5349.

  • Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.400202.

    • Received May 8, 2002.
    • Accepted August 30, 2002.
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