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Investigating 42 candidate orthologous protein groups by molecular evolutionary analysis on genome scale
1Shanghai Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 200031, Shanghai, China.
Abstract:
It is one of key problems for comparative genomics to accurately identify orthologous genes/proteins. Here 42 quartettes of human, yeast Saccharomyces cerevisiae, nematode Caenorhabditis elegans, and fruit fly Drosophila melanogaster candidate orthologs, defined by using similarity-based highest hit criteria (Mushegian et al., 1998 Genome Res. 8: 590-598), were reconsidered according to molecular evolutionary analysis. We found that only 14 of the 42 candidate orthologous groups can be identified to have truly one-to-one orthologous relationships, whereas other groups were characterized by one (many)-to-many orthologous relationships or even more complex scenarios involving gene duplications and/or gene losses. The result could imply that the classical one-to-one orthology might be not as common as typically accepted and automated similarity-based methods should be used with caution when accurate orthology/paralogy discrimination is required.