Directed evolution of a 13-hydroperoxide lyase (CYP74B) for improved process performance
| Autor: | Christophe Ullmann, Pascal Auffray, Denis Wahler, Laurent Fourage, Bojan Bosijokovic, Fredi Brühlmann |
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| Rok vydání: | 2013 |
| Předmět: |
Molecular Sequence Data
Bioengineering Sequence alignment Heme Biology Applied Microbiology and Biotechnology Protein Structure Secondary chemistry.chemical_compound Protein structure Cytochrome P-450 Enzyme System Catalytic Domain Escherichia coli Amino Acid Sequence Cells Cultured Aldehyde-Lyases Plant Proteins Psidium Protein Stability Mutagenesis Temperature Active site General Medicine Directed evolution Lyase Turnover number Biochemistry chemistry biology.protein Directed Molecular Evolution Sequence Alignment Biotechnology |
| Zdroj: | Journal of Biotechnology. 163:339-345 |
| ISSN: | 0168-1656 |
| DOI: | 10.1016/j.jbiotec.2012.11.005 |
| Popis: | The performance of a 13-hydroperoxide lyase from guava, an enzyme of the CYP74 family, which is of interest for the industrial production of saturated and unsaturated C6-aldehydes and their derivatives, was improved by directed evolution. Four rounds of gene shuffling and random mutagenesis improved the functional expression in E. coli by offering a 15-fold higher product yield factor. The increased product yield factor relates to an improved total turnover number of the variant enzyme, which also showed higher solubility and increased heme content. Thermal stability was also dramatically improved even though there was no direct selection pressure applied for evolving this trait. A structure based sequence alignment with the recently solved allene oxide synthase of Arabidopsis thaliana showed that most amino acid alterations occurred on the surface of the protein, distant of the active site and often outside of secondary structures. These results demonstrate the power of directed evolution for improving a complex trait such as the total turnover number of a cytochrome P450, a critical parameter for process performance that is difficult to predict even with good structural information at hand. |
| Databáze: | OpenAIRE |
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