Recent advances in whole cell biocatalysis techniques bridging from investigative to industrial scale

ABSTRACT Whole-cell biocatalysis to oxidize naphthalene to 1-naphthol in liquid-liquid biphasic systems was performed. Escherichia coli expressing TOM-Green, a variant of toluene ortho-monooxygenase (TOM), was used for this oxidation. Three different solvents, dodecane, dioctyl phthalate, and lauryl acetate, were screened for biotransformations in biphasic media. Of the solvents tested, lauryl acetate gave the best results, producing 0.72 ± 0.03 g/liter 1-naphthol with a productivity of 0.46 ± 0.02 g/g (dry weight) cells after 48 h. The effects of the organic phase ratio and the naphthalene concentration in the organic phase were investigated. The highest 1-naphthol concentration (1.43 g/liter) and the highest 1-naphthol productivity (0.55 g/g [dry weight] cells) were achieved by optimization of the organic phase. The ability to recycle both free cells and cells immobilized in calcium alginate was tested. Both free and immobilized cells lost more than ∼60% of their activity after the first run, which could be attributed to product toxicity. On a constant-volume basis, an eightfold improvement in 1-naphthol production was achieved using biphasic media compared to biotransformation in aqueous media.

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Deciphering the regulation of metabolism with dynamic optimization: an overview of recent advances

Biochemical Society Transactions ◽

10.1042/bst20170137 ◽

2017 ◽

Vol 45 (4) ◽

pp. 1035-1043 ◽

Cited By ~ 4

Author(s):

Jan Ewald ◽

Martin Bartl ◽

Christoph Kaleta

Keyword(s):

Dynamic Optimization ◽

Metabolic Pathways ◽

Regulatory Networks ◽

Optimization Problems ◽

Treatment Strategies ◽

Whole Cell ◽

Recent Advances ◽

Regulatory Strategies ◽

Regulation Of Metabolism ◽

Optimality Principles

Understanding optimality principles shaping the evolution of regulatory networks controlling metabolism is crucial for deriving a holistic picture of how metabolism is integrated into key cellular processes such as growth, adaptation and pathogenicity. While in the past the focus of research in pathway regulation was mainly based on stationary states, more recently dynamic optimization has proved to be an ideal tool to decipher regulatory strategies for metabolic pathways in response to environmental cues. In this short review, we summarize recent advances in the elucidation of optimal regulatory strategies and identification of optimal control points in metabolic pathways. We discuss biological implications of the discovered optimality principles on genome organization and provide examples how the derived knowledge can be used to identify new treatment strategies against pathogens. Furthermore, we briefly discuss the variety of approaches for solving dynamic optimization problems and emphasize whole-cell resource allocation models as an important emerging area of research that will allow us to study the regulation of metabolism on the whole-cell level.

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