On gene prediction by cross-species comparative sequence analysis

Abstract

Sequencing of large fragments of genomic DNA makes it possible to perform comparisons of genomic sequences for identification of protein-coding regions. We have conducted a comparative analysis of homologous genomic sequences of organisms with different evolutionary distances and determined the degree of conservation of the noncoding regions between closely related organisms. In contrast, more distance shows much less intron similarity but less conservation on the exon structures. Based on this finding and training of data sets, we proposed a model by which coding sequences could be identified by comparing sequences of multiple species, both close and approximately distant. The reliability of the proposed method is evaluated in terms of sensitivity and specificity, and results are compared to those obtained by other popular gene prediction programs. Provided sequences can be found from other species at appropriate evolutionary distances, this approach could be applied in newly sequenced organisms where no species-dependent statistical models are available.