Extended Scope and Understanding of Zinc-Dependent Alcohol Dehydrogenases for Reduction of Cyclic α-Diketones.

Alcohol dehydrogenases (ADH) are important tools for generating chiral α-hydroxyketones. Previously, only the ADH of Thauera aromatica was known to convert cyclic α-diketones with appropriate preference. Here, we extend the spectrum of suitable enzymes by three alcohol dehydrogenases from Citrifermentans bemidjiense (CibADH), Deferrisoma camini (DecADH), and Thauera phenylacetica (ThpADH). Of these, DecADH is characterized by very high thermostability; CibADH and ThpADH convert α-halogenated cyclohexanones with increased activity. Otherwise, however, the substrate spectrum of all four ADHs is highly conserved. Structural considerations led to the conclusion that conversion of diketones requires not only the expansion of the active site into a large binding pocket, but also the circumferential modification of almost all amino acid residues that form the first shell of the binding pocket. The constellation appears to be overall highly specific for the relative positioning of the carbonyl functions and the size of the C-ring.

Precision enzyme discovery through targeted mining of metagenomic data.

Metagenomics has opened new avenues for exploring the genetic potential of uncultured microorganisms, which may serve as promising sources of enzymes and natural products for industrial applications. Identifying enzymes with improved catalytic properties from the vast amount of available metagenomic data poses a significant challenge that demands the development of novel computational and functional screening tools. The catalytic properties of all enzymes are primarily dictated by their structures, which are predominantly determined by their amino acid sequences. However, this aspect has not been fully considered in the enzyme bioprospecting processes. With the accumulating number of available enzyme sequences and the increasing demand for discovering novel biocatalysts, structural and functional modeling can be employed to identify potential enzymes with novel catalytic properties. Recent efforts to discover new polysaccharide-degrading enzymes from rumen metagenome data using homology-based searches and machine learning-based models have shown significant promise. Here, we will explore various computational approaches that can be employed to screen and shortlist metagenome-derived enzymes as potential biocatalyst candidates, in conjunction with the wet lab analytical methods traditionally used for enzyme characterization.

Preparation of Soil Metagenome Libraries and Screening for Gene-Specific Amplicons.

Cosmid libraries constructed from environmental metagenome samples are powerful tools for capturing the genomic diversity of complex microbial communities. The large insert size (∼35 kb) of such libraries means they are compatible with downstream expression of large biosynthetic gene clusters (BGCs). This allows the discovery of previously undescribed natural products that would be inaccessible using traditional culture-based discovery pipelines. Here we describe methods for the construction of a cosmid metagenome library from a soil sample, and the process of screening that library for individual cosmid clones containing aromatic polyketide BGCs using degenerate primers that target the ketosynthase alpha (KSα) gene.

Combination of sequence-based and in silico screening to identify novel trehalose synthases.

A combined approach of sequence-based screening from metagenomic soil DNA and subsequent in silico screening was established to identify novel trehalose synthases (TS, EC 5.4.99.16). Metagenomic DNA was isolated from diverse soil samples and used as template for PCR-based screening targeted against conserved regions of trehalose synthases. This resulted in four metagenomic TS-like fragments with broad sequence diversity (41-67% identity to each other). The encoded open reading frames were used as templates for further in silico screening. Two trehalose synthases were discovered using this novel approach and their enzymatic properties were further investigated. The trehalose synthase from Micrococcus terreus MtTS exhibited a broad pH optimum between 6.5 and 7.5 with highest reaction velocity at 35 °C and a protruding stability at this temperature (t1/2 = 50 h). Characteristic of enzymes from thermophilic organisms, the trehalose synthase from Thermobaculum terrenum had a distinct temperature optimum at 50 °C, exhibiting also a prominent half time with t1/2 = 45 h at pH 6.5. Both bioconversions resulted in final trehalose levels of 60%, whereas TtTS produced reduced amounts of the byproduct glucose (10%) compared with MtTS (15%), which is favorable for trehalose production. This combined screening approach intended to circumvent the bottleneck of metagenomic enzyme mining, regarding time and cost of intensive screening procedures for industrial relevant biocatalysts such as trehalose synthases.

Sequence-Based Screening for Rare Enzymes: New Insights into the World of AMDases Reveal a Conserved Motif and 58 Novel Enzymes Clustering in Eight Distinct Families.

Arylmalonate Decarboxylases (AMDases, EC 4.1.1.76) are very rare and mostly underexplored enzymes. Currently only four known and biochemically characterized representatives exist. However, their ability to decarboxylate α-disubstituted malonic acid derivatives to optically pure products without cofactors makes them attractive and promising candidates for the use as biocatalysts in industrial processes. Until now, AMDases could not be separated from other members of the aspartate/glutamate racemase superfamily based on their gene sequences. Within this work, a search algorithm was developed that enables a reliable prediction of AMDase activity for potential candidates. Based on specific sequence patterns and screening methods 58 novel AMDase candidate genes could be identified in this work. Thereby, AMDases with the conserved sequence pattern of Bordetella bronchiseptica's prototype appeared to be limited to the classes of Alpha-, Beta-, and Gamma-proteobacteria. Amino acid homologies and comparison of gene surrounding sequences enabled the classification of eight enzyme clusters. Particularly striking is the accumulation of genes coding for different transporters of the tripartite tricarboxylate transporters family, TRAP transporters and ABC transporters as well as genes coding for mandelate racemases/muconate lactonizing enzymes that might be involved in substrate uptake or degradation of AMDase products. Further, three novel AMDases were characterized which showed a high enantiomeric excess (>99%) of the (R)-enantiomer of flurbiprofen. These are the recombinant AmdA and AmdV from Variovorax sp. strains HH01 and HH02, originated from soil, and AmdP from Polymorphum gilvum found by a data base search. Altogether our findings give new insights into the class of AMDases and reveal many previously unknown enzyme candidates with high potential for bioindustrial processes.