4.5 Article

Cell physiology rather than enzyme kinetics can determine the efficiency of cytochrome P450-catalyzed C-H-oxyfunctionalization

Journal

JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY
Volume 38, Issue 9, Pages 1359-1370

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10295-010-0919-y

Keywords

Cytochrome P450 monooxygenase; Microbial physiology; Whole-cell biocatalysis; C-H-oxyfunctionalization; Pseudomonas putida

Funding

  1. Deutsche Bundesstiftung Umwelt [AZ 20006/855]
  2. ERA-Net
  3. Ministry of Innovation, Science, Research and Technology of North Rhine-Westphalia, Germany

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Cell physiology is a critical factor determining the efficiency of reactions performed by microbial biocatalysts. In order to develop an efficient biotransformation procedure for the hydroxylation of (S)-limonene to (S)-perillyl alcohol by recombinant Pseudomonas putida cells harboring the cytochrome P450 monooxygenase CYP153A6, physiological parameters were optimized. The previously reported synthesis of (S)-perillyl alcohol by P. putida GPo12 was based on complex and sensitive octane feeding strategies (van Beilen et al. in Appl Environ Microbiol 71:1737-1744, 2005), indicating the pivotal role of cell physiology. In contrast to previous findings, the screening of different carbon sources showed that glycerol and citrate are suitable alternatives to octane allowing high specific limonene hydroxylation activities. The use of P. putida KT2440 as an alternative host strain and citrate as the carbon source improved practical handling and allowed a 7.5-fold increase of the specific activity (to 22.6 U g (CDW) (-1) ). In two-liquid-phase biotransformations, 4.3 g of (S)-perillyl alcohol L (tot) (-1) were produced in 24 h, representing a sixfold improvement in productivity compared to previously reported results. It is concluded that, for selective cytochrome P450-based hydrocarbon oxyfunctionalizations by means of living microbial cells, the relationship between cell physiology and the target biotransformation is crucial, and that understanding the relationship should guide biocatalyst and bioprocess design.

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