Identification of residues in glutathione transferase capable of driving functional diversification in evolution - A novel approach to protein redesign
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作者:
Ivarsson, Y
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机构:Uppsala Univ, Dept Biochem, Ctr Biomed, SE-75123 Uppsala, Sweden
Ivarsson, Y
Mackey, AJ
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机构:Uppsala Univ, Dept Biochem, Ctr Biomed, SE-75123 Uppsala, Sweden
Mackey, AJ
Edalat, M
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机构:Uppsala Univ, Dept Biochem, Ctr Biomed, SE-75123 Uppsala, Sweden
Edalat, M
Pearson, WR
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机构:Uppsala Univ, Dept Biochem, Ctr Biomed, SE-75123 Uppsala, Sweden
Pearson, WR
Mannervik, B
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机构:Uppsala Univ, Dept Biochem, Ctr Biomed, SE-75123 Uppsala, Sweden
Mannervik, B
机构:
[1] Uppsala Univ, Dept Biochem, Ctr Biomed, SE-75123 Uppsala, Sweden
[2] Univ Virginia, Dept Microbiol, Charlottesville, VA 22908 USA
[3] Dept Biochem & Mol Genet, Charlottesville, VA 22908 USA
Evolution of protein function can be driven by positive selection of advantageous nonsynonymous codon mutations that arise following gene duplication. By observing the presence and degree of site-specific positive selection for change between divergent paralogs, residue positions responsible for functional changes can be identified. We applied this analysis to genes encoding Mu class glutathione transferases, which differ widely in substrate specificities. Approximately 3% of the amino acid residue positions, both near to and distant from the active site, are under statistically significant positive selection for change. Relevant human glutathione transferase (GST) M1-1 and GST M2-2 codons were mutated. A chemically conservative threonine to serine mutation in GST M2-2 elicited a 1,000-fold increase in specific activity with the GST M1-1-specific substrate trans-stilbene oxide and a 30-fold increase with the alternative epoxide substrates styrene oxide and nitrophenyl glycidol. The reverse mutation in GST M1-1 resulted in reciprocal decreases in activity. Thus, identification of hypervariable codon positions can be a powerful aid in the redesign of protein function, lessening the requirement for extensive mutagenesis or structural knowledge and sometimes suggesting mutations that would otherwise be considered functionally conservative.