The molecular mechanisms that cells use to sense changes in the intra- and extracellular environment are increasingly utilized in synthetic biology to build genetic reporter constructs for various applications. Although in nature sensing can be RNA-mediated, most existing genetically-encoded biosensors are based on transcription factors (TF) and cognate DNA sequences. Here, the recent advances in the integration of TF-based biosensors in metabolic and protein engineering screens whereas distinction is made between production-driven and competitive screening systems for enzyme evolution under physiological conditions are discussed. Furthermore, the advantages and disadvantages of existing TF-based biosensors are examined with respects to dynamic range, sensitivity, and robustness, and compared to other screening approaches. The application examples discussed in this review demonstrate the promising potential TF-based biosensors hold as screening tools in laboratory evolution of proteins and metabolic pathways, alike.
Diversity generation by random mutagenesis is often the first key step in directed evolution experiments and screening of 1,000-2,000 clones is in most directed evolution campaigns sufficient to identify improved variants. For experimentalists important questions such as how many positions are mutated in the targeted gene and what amino acid substitutions can be expected after screening of 1,000-2,000 clones are surprisingly not answered by a statistical analysis of mutant libraries. Therefore three random mutagenesis experiments (epPCR with a low- and a high-mutation frequency and a transversion-enriched sequence saturation mutagenesis method named SeSaM-Tv P/P) were performed on the lipase BSLA and in total 3,000 mutations were analyzed to determine the diversity in random mutagenesis libraries employed in directed evolution experiments. The active fraction of the population ranged from 15% (epPCR-high), to 52% (SeSaM-Tv P/P), and 55% (epPCR-low) which correlates well with the average number of amino acid substitutions per protein (4.1, 1.6 and 1.1). In the epPCR libraries transitions were the predominant mutations (>72%), and >82% of all mutations occurred at A- or T-nts. Consecutive nucleotide (nt) mutations were obtained only with a low fraction (2.8%) under highly error-prone conditions. SeSaM-Tv P/P was enriched in transversions (43%; >1.7-fold more than epPCR libraries), and consecutive nt mutations (30.5%; 11-fold more than epPCR-high). A high fraction of wild-type BSLA protein (33%) was found in the epPCR-low mutant library compared to 2% in epPCR-high and 13% in SeSaM-Tv P/P. An average of 1.8-1.9 amino acid substitutions per residue was obtained with epPCR-low and -high compared to 2.1 via SeSaM-Tv P/P. The chemical composition of the amino acid substitutions differed, however, significantly from the two epPCR methods to SeSaM-Tv P/P.
Aromatic hydroxylation of pseudocumene (1 a) and mesitylene (1 b) with P450 BM3 yields key phenolic building blocks for α-tocopherol synthesis. The P450 BM3 wild-type (WT) catalyzed selective aromatic hydroxylation of 1 b (94 %), whereas 1 a was hydroxylated to a large extent on benzylic positions (46-64 %). Site-saturation mutagenesis generated a new P450 BM3 mutant, herein named "variant M3" (R47S, Y51W, A330F, I401M), with significantly increased coupling efficiency (3- to 8-fold) and activity (75- to 230-fold) for the conversion of 1 a and 1 b. Additional π-π interactions introduced by mutation A330F improved not only productivity and coupling efficiency, but also selectivity toward aromatic hydroxylation of 1 a (61 to 75 %). Under continuous nicotinamide adenine dinucleotide phosphate recycling, the novel P450 BM3 variant M3 was able to produce the key tocopherol precursor trimethylhydroquinone (3 a; 35 % selectivity; 0.18 mg mL ) directly from 1 a. In the case of 1 b, overoxidation leads to dearomatization and the formation of a valuable p-quinol synthon that can directly serve as an educt for the synthesis of 3 a. Detailed product pattern analysis, substrate docking, and mechanistic considerations support the hypothesis that 1 a binds in an inverted orientation in the active site of P450 BM3 WT, relative to P450 BM3 variant M3, to allow this change in chemoselectivity. This study provides an enzymatic route to key phenolic synthons for α-tocopherols and the first catalytic and mechanistic insights into direct aromatic hydroxylation and dearomatization of trimethylbenzenes with O .
A ligand-mediated eGFP-expression system (LiMEx) was developed as a novel flow cytometry based screening platform that relies on a competitive conversion/binding of arginine between arginine deiminase and arginine repressor. Unlike product-driven detection systems, the competitive screening platform allows to evolve enzymes toward efficient operation at low substrate concentrations under physiological conditions. The principle of LiMEx was validated by evolving arginine deiminase (ADI, an anticancer therapeutic) for stronger inhibition of tumor growth. After screening of ∼8.2 × 10(6) clones in three iterative rounds of epPCR libraries, PpADI (ADI from Pseudomonas plecoglossicida) variant M31 with reduced S0.5 value (0.17 mM compared to 1.23 mM (WT)) and, importantly, increased activity at physiological arginine concentration (M31:6.14 s(-1); WT: not detectable) was identified. Moreover, M31 showed a significant inhibitory effect against SK-MEL-28 and G361 melanoma cell lines. (IC50 = 0.02 μg/mL for SK-MEL-28 and G361).
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