Bioinformatics Advance Access originally published online on September 30, 2004
Bioinformatics 2005 21(6):703-710; doi:10.1093/bioinformatics/bti045
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Using shared genomic synteny and shared protein functions to enhance the identification of orthologous gene pairs
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Assays and Bioinformatics, Celera Genomics Corporation 45 West Gude Drive, Rockville, MD 20850, USA
*To whom correspondence should be addressed.
Motivation: The identification of orthologous gene pairs is generally based on sequence similarity. Gene pairs that are mutually ‘best hits’ between the genomes being compared are asserted to be orthologs. Although this method identifies most orthologous gene pairs with high confidence, it will miss a fraction of them, especially genes in duplicated gene families. In addition, the approach depends heavily on the completeness and quality of gene annotation. When the gene sequences are not correctly represented the approach is unlikely to find the correct ortholog. To overcome these limitations, we have developed an approach to identify orthologous gene pairs using shared chromosomal synteny and the annotation of protein function.
Results: Assembled mouse and human genomes were used to identify the regions of conserved synteny between these genomes. ‘Syntenic anchors’ are conserved non-repetitive locations between mouse and human genomes. Using these anchors, we identified blocks of sequences that contain consistently ordered anchors between the two genomes (syntenic blocks). The synteny information has been used to help us identify orthologous gene pairs between mouse and human genomes. The approach combines the mutual selection of the best tBlastX hits between human and mouse transcripts, and inferring gene orthologous relationships based on sharing syntenic anchors, collocating in the same syntenic blocks and sharing the same annotated protein function. Using this approach, we were able to find 19 357 orthologous gene pairs between human and mouse genomes, a 20% increase in the number of orthologs identified by conventional approaches.
Contact: richard.mural{at}celera.com
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