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Industrial Biotransformations

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102<br />

4 Optimization of <strong>Industrial</strong> Enzymes by Molecular Engineering<br />

4.4.3<br />

Random Mutagenesis Methods<br />

The simple concept of laboratory evolution – random mutagenesis and screening or<br />

selection of the “fittest” – should be planned carefully by the experimenter right from the<br />

beginning of the project. The first problem the scientist is confronted with is implementing<br />

the huge sequence space of proteins: using the 20 building blocks of proteins, the<br />

different amino acids encoded by the DNA, an enormous number of novel combinations<br />

can be generated. For example, an enzyme consisting of 300 amino acid residues can<br />

theoretically exist in 20 300 possible linear combinations of all 20 amino acids at each position.<br />

This infinite number of combinations cannot be generated by any one scientist – at<br />

least nor by nature itself, because the mass of such a library would exceed the mass of<br />

the whole universe – which makes de novo enzyme design by completely random approaches<br />

impossible. Therefore, two different strategies using good starting points in the<br />

“fitness landscape” of protein-sequence space have been developed: random point mutations<br />

and in vitro recombination.<br />

The insertion of random point mutations into DNA has been used to generate mutant<br />

strains since industrial biocatalysis began. UV and X-ray radiation or mutagenic chemicals<br />

such as nitrous acid, formic acid or hydrazine have been used to generate production<br />

strains in industry as a way of so-called “classical strain improvement”: random mutagenesis<br />

of the whole genome and subsequent screening for better performing variants.<br />

Today, this is still an option as a way of improving production strains without creating socalled<br />

genetically manipulated organisms (GMOs). Many successful examples have been<br />

published or patented; however, the accumulation of deleterious mutations in the genome<br />

of the target organism makes the process difficult and unpredictable. Therefore, the<br />

Biotech Company Maxygen (Redwood City, CA, USA) and its subsidiary Codexis (Redwood<br />

City, CA, USA) have recently introduced a new strategy to speed up classical strain<br />

improvement using whole genome shuffling. Here, the genomes of mutants created by<br />

classical strain improvement are recombined by protoplast fusions, creating a pool of<br />

recombinants, which is screened for better production strains. This technique has proved<br />

to be useful for the rapid improvement in the production of the macrolite antibiotic tylosin<br />

from Streptomyces fradiae [39] as well as changing the pH tolerance of a Lactobacillus<br />

strain of commercial interest, so that it will grow under acidic conditions [40].<br />

Nevertheless, most directed evolution strategies use in vitro mutagenesis methods<br />

applied to defined target genes. According to this, the most commonly used method is<br />

error prone PCR (epPCR), a technique that is as simple as regular PCR. The Taq-polymerase<br />

4 , an enzyme without in vitro proof-reading activity, is used to amplify the target gene<br />

under “suboptimal” conditions. This increases the naturally occurring error rate from<br />

0.1–2 × 10 –4 [41, 42] to 1–5 × 10 –3 base substitutions by: (a) increasing the concentration of<br />

MgCl 2, (b) addition of MnCl 2, (c) using an unbalanced concentration of nucleotides, or<br />

(d) using a mixture of triphosphate nucleoside analogues [43–47]. In addition, companies<br />

such as Statagene (La Jolla, CA, USA) or BD Biosciences – Clontech (Palo Alto, CA,<br />

4) Abbreviation for the hyperthermophilic bacterium<br />

Thermus aquaticus

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