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Long-chain aliphatic amines such as (S,Z)-hepta- dec-9-en-7-amine and 9-aminoheptadecane were synthesized from ricinoleic acid and oleic acid, respectively, by whole-cell cascade reactions using the combination of an alcohol dehydrogenase (ADH) from Micrococcus luteus, an engi- neered amine transaminase from Vibrio fluvialis (Vf-ATA), and a photoactivated decarboxylase from Chlorella variabilis NC64A (Cv-FAP) in a one-pot process. In addition, long chain aliphatic esters such as 10-(heptanoyloxy)dec-8-ene and octyl- nonanoate were prepared from ricinoleic acid and oleic acid, respectively, by using the combination of the ADH, a Baeyer– Villiger monooxygenase variant from Pseudomonas putida KT2440, and the Cv-FAP. The target compounds were produced at rates of up to 37 U g1 dry cells with conversions up to 90 %. Therefore, this study contributes to the preparation of industrially relevant long-chain aliphatic chiral amines and esters from renewable fatty acid resources.
In this work, the regioselectivity of different Baeyer-Villiger monooxygenases (BVMOs) for the conversion of selected substrates was reversed or improved by protein engineering. These studies highlight the importance of substrate positioning for the regioselectivity and that the position of the substrate can be efficiently influenced by introducing proper mutations. It was shown that the beneficial mutations for all BVMOs were partly in corresponding positions. Additionally, the sulfoxidation activity and the stability of BVMOs were targeted and improved by applying protein engineering.
Promiscuous Dehalogenase Activity of the Epoxide Hydrolase CorEH from Corynebacterium sp. C12
(2021)
Haloalkane dehalogenases and epoxide hydrolases are phylogenetically related and structurally homologous enzymes that use nucleophilic aspartate residues for an SN2 attack on their substrates. Despite their mechanistic similarities, no enzymes are known that exhibit both epoxide hydrolase and dehalogenase activity. We screened a subset of epoxide hydrolases, closely related to dehalogenases, for dehalogenase activity and found that the epoxide hydrolase CorEH from Corynebacterium sp. C12 exhibits promiscuous dehalogenase activity. Compared to the hydrolysis of epoxides like cyclohexene oxide (1.41 μmol min–1 mg–1), the dehalogenation of haloalkanes like 1-bromobutane (0.25 nmol min–1 mg–1) is about 5000-fold lower. In addition to the activity with 1-bromobutane, dehalogenase activity was detected with other substrates like 1-bromohexane, 1,2-dibromoethane, 1-iodobutane, and 1-iodohexane. This study shows that dual epoxide hydrolase and dehalogenase activity can be present in one naturally occurring protein scaffold.
Today the process of improving technology and software allows to create, save and explore massive data sets in little time. "Big Data" are everywhere such as in social networks, meteorology, customers’ behaviour – and in biology. The Omics research field, standing for the organism-wide data exploration and analysis, is an example of biological research that has to deal with "Big Data" challenges. Possible challenges are for instance effcient storage and cataloguing of the data sets and finally the qualitative analysis and exploration of the information. In the last decade largescale genome-wide association studies and high-throughput techniques became more effcient, more profitable and less expensive. As a consequence of this rapid development, it is easier to gather massive amounts of genomic and proteomic data. However, these data need to get evaluated, analysed and explored. Typical questions that arise in this context include: which genes are active under sever al physical states, which proteins and metabolites are available, which organisms or cell types are similar or different in their enzymes’or genes’ behaviour. For this reason and because a scientist of any "Big Data" research field wants to see the data, there is an increasing need of clear, intuitively understandable and recognizable visualization to explore the data and confirm thesis. One way to get an overview of the data sets is to cluster it. Taxonomic trees and functional classification schemes are hierarchical structures used by biologists to organize the available biological knowledge in a systematic and computer readable way (such as KEGG, GO and FUNCAT). For example, proteins and genes could be clustered according to their function in an organism. These hierarchies tend to be rather complex, and many comprise thousands of biological entities. One approach for a space-filling visualization of these hierarchical structured data sets is a treemap. Existing algorithms for producing treemaps struggle with large data sets and have several other problems. This thesis addresses some of these problems and is structured as follows. After a short review of the basic concepts from graph theory some commonly used types of treemaps and a classification of treemaps according to information visualization aspects is presented in the first chapter of this thesis. The second chapter of this thesis provides several methods to improve treemap constructions. In certain applications the researcher wants to know, how the entities in a hierarchical structure are related to each other (such as enzymes in a metabolic pathway). Therefore in the 3 third chapter of this thesis, the focus is on the construction of a suitable layout overlaying an existing treemap. This gives rise to optimization problems on geometric graphs. In addition, from a practical point of view, options for enhancing the display of the computed layout are explored to help the user perform typical tasks in this context more effciently. One important aspect of the problems on geometric graphs considered in the third chapter of the thesis is that crossings of edges in a network structure are to be minimized while certain other properties such as connectedness are maintained. Motivated by this, in the fourth chapter of this thesis, related combinatorial and computational problems are explored from a more theoretical point of view. In particular some light is shed on properties of crossing-free spanning trees in geometric graphs.
This thesis is about the establishment and the application of novel methods and tools that are re-lated to the most widely used enzyme class: hydrolases. It covers all fields from the identification to the application of these valuable enzymes with particular focus on lactonases, acylases and proteases. The activity assay introduced in Article I substantially extends the method toolbox for studies on lactonases and acylases that interfere with the bacterial cell-cell communication system. Article II describes a fully automatized robotic platform that represents the next-level tool for the high-throughput enzyme screening in the microtiter plate format. It was used, for instance, for the screening for improved porcine aminoacylase I variants. Diverse aspects of the protease-mediated hydrolysis of non-resistant proteins for the purification of resistant target proteins are highlighted in Article III.
This work investigated the enzymatic degradation of polyethylene terephthalate (PET) (ArticlesI and II) and polyvinyl alcohol (PVA) (Article III). Physical or chemical degradation of plastic polymers is often performed under extreme conditions like high temperatures or pressure. In comparison to that, recycling of plastics with enzymes can be carried out at ambient temperatures and neutral pH. Enzymes themselves are non- toxic, environmentally friendly, and have been used successfully in a variety of industrial processes.
Enzymatic degradation of polyesters is well studied. Their heteroatomic backbone, which is connecting monomers via ester bonds offers a target for an enzymatic attack. Especially PET, one of the most common polyesters, has been in the focus of research. The first enzyme capable of degrading the polymer was found in 2005. Since then, researchers discovered several enzymes with similar functions and subjected them to enzyme engineering. Improving the enzyme's substrate affinity, activity, and stability aims at making PET recycling more efficient. Article I provides an overview of limitations that enzymatic PET recycling is still facing and the research carried out to overcome them. More precisely, enzyme−substrate interactions, thermostability, catalytic efficiency, and inhibition caused by oligomeric degradation intermediates are summarized and discussed in detail.
Article II further addresses one of the above-mentioned limitations, namely product inhibition of PET hydrolyzing enzymes. We elucidated the crystal structure of TfCa, a carboxylesterase from Thermobifida fusca (T. fusca), and applied semi-rational enzyme engineering. The article discusses the structure-function relationship of TfCa based on the apo-structure as well as ligand-soaked structures. Furthermore, it compares the structures of TfCa and MHETase, another PET hydrolase helper enzyme. Lastly, we determined the substrate profile of the carboxylesterase based on terephthalate-based oligo-esters of various lengths and one ortho-phthalate ester. In a dual enzyme system, TfCa degraded intermediate products derived from the PET hydrolysis of a variant of PETase hydrolase from Ideonella sakaiensis (I. sakaiensis). The dual enzyme system utilized PET more efficiently in comparison to solely PETase due to relieved product inhibition. Since TfCa successfully degraded oligomeric intermediates, the reaction not only released terephthalic acid as the sole product but also increased the overall product yield.
While PET contains an ester bond that can be attacked and hydrolyzed by esterases or lipases, PVA consists of a homoatomic C-C-backbone with repeating 1,3-diol units. The polymer is water soluble with remarkable physical properties such as thermostability and viscosity. PVA is often described as biodegradable, but microbial degradation is slow and frequently involves cost-intensive cofactors. In this study, we present an improved PVA polymer with derivatized side chains and an enzyme cascade that can degrade not only modified but also unmodified PVA in a one-pot reaction. The enzyme cascade consists of a lipase, an alcohol dehydrogenase (ADH), and a Baeyer-Villiger monooxygenase (BVMO). In comparison to the scarcely published research on PVA degradation with free enzyme, this cascade is not only independent from the frequently required cofactor pyrroloquinoline quinone (PQQ) but, in principle, contains an in vitro cofactor recycling mechanism.
Tertiary alcohols have become interesting targets for organic synthesis themselves or as building blocks for valuable pharmaceutical compounds. However, the synthesis of optically pure tertiary alcohols is still a challenge both chemical and enzymatic means. Enzymes containing the GGG(A)X motif in the active site region have been known to show activity towards these sterically demanding substrates. Several tertiary alcohols have been resolved with high enantioselectivity by using this biocatalytic synthetic route. This thesis aims at providing a better understanding of enantiorecognition of GGG(A)X motif hydrolases in the enzymatic synthesis of enantiomerically enriched tertiary alcohols. Kinetic resolution of a wide range of tertiary alcohols using hydrolases provided insights on factors that can influence enantioselectivity of GGG(A)X motif enzymes. Additionally, a newly proposed chemoenzymatic method to synthesize protected alpha,alpha-dialkyl-alpha-hydroxycarboxylic acids has broadened the application of these enzymes to synthesize optically pure tertiary alcohols. Newly found biocatalysts through functional screening, database mining and rational protein design approaches provided a better enzyme platform for optically pure tertiary alcohol resolution.
In this work, the discovery, expression and characterization of new eukaryotic Baeyer-Villiger monooxygenases (BVMOs) from yeasts has been shown. A rational design of one of these enzymes led to the identification of key residues to alter the sulfoxidation activity of this group of enzymes. Additionally, in another rational design approach, the cofactor specificity of the BVMO cyclohexanone monooxygenase from Acinetobacter calcoaceticus could be substantially altered to accept the much cheaper and therefore industrially more relevant cofactor NADH.
Within this thesis the protein engineering, immobilization and application of enzymes in organic synthesis were studied in order to enhance the productivity of diverse biotransformations. Article I is a review about Baeyer-Villiger monooxygenases (BVMO) and provides a detailed overview of the most recent advantages in the application of that enzyme class in biocatalysis. Protein engineering of a former uncharacterized polyol-dehydrogenase (PDH) identified in the mesothermophilic bacterium Deinococcus geothermalis 11300 is described in Article II. Article III covers the combination of one PDH mutant with a BVMO in a closed-loop cascade reaction, thus enabling direct oxidation of cyclohexanol to ε-caprolactone with an internal cofactor recycling of NADP(H). Article IV and Article V report a process optimization for transamination reactions due to a newly developed immobilization protocol for five (S)- and (R)-selective aminotransferases (ATA) on chitosan support. Furthermore, the immobilized ATAs were applied in asymmetric amine synthesis. In Article VI, an ATA immobilized on chitosan, an encapsulated BVMO whole cell catalyst and a commercially available immobilized lipase were applied in a traditional fixed-bed (FBR) or stirred-tank reactor (STR), and were compared to a novel reactor design (SpinChem, SCR) for heterogeneous biocatalysis.
Gout was described by Hippocrates in the 5th century BC as a disease of rich people and linked with excess food and alcohol. It is caused by long-lasting hyperuricemia, which is a result of an imbalance between excretion and production of uric acid. The surplus of uric acid leads to deposition of monosodium urate crystals in the joints, which can initiate a painful inflammation called a gout attack. Despite various pharmacological treatments for this disease, a low purine diet remains the basis of all gout therapies. Since food is rich in purines, the aim of this project was to develop a novel enzyme system to decrease the purine content of food, what should result in reduced serum urate concentration in patients with hyperuricemia. The system consists of five degrading enzymes (adenine deaminase, guanine deaminase, xanthine oxidoreductase, urate oxidase and purine nucleoside phosphorylase) that combined in one product are able to hydrolyse all purines to a highly soluble allantoin, which can be easily removed from the body. This approach provides the patients a possibility to reduce the symptoms and frequency of gout attacks or even doses of prescribed drugs. In order to obtain necessary system components, yeast Arxula adeninivorans LS3 was screened for enzyme activities. A. adeninivorans is known to utilise various purines and this ability is a result of activity of desired enzymes, two of which, adenine deaminase and xanthine oxidoreductase, are in focus of this thesis. The analysis of growth of A. adeninivorans on various carbon and nitrogen sources gave the first insight into the cells’ nutrient preferences indicating the presence of purine degrading enzymes, such as adenine deaminase and xanthine oxidoreductase. Purines, such as adenine and hypoxanthine, could be utilised by this yeast as sole carbon and nitrogen sources and were shown to trigger the gene expression of the purine degradation pathway. Enzyme activity tests and quantitative real-time PCR method allowed for identification of the best inducers for adenine deaminase and xanthine oxidoreductase, as well as their concentration and time of induction. The adenine deaminase (AADA) and the xanthine oxidoreductase (AXOR) genes were isolated and subjected to homologous expression in A. adeninivorans cells using Xplor®2 transformation/expression platform. The selected transgenic strains accumulated the recombinant adenine deaminase in very high concentrations. The expression of AXOR gene posed difficulties and remained a challenge. Additional expression of both proteins in alternative E. coli system was undertaken but failed for AXOR gene. The recombinant adenine deaminase and wild-type xanthine oxidoreductase were purified and characterized biochemically. The characterization included determination of optimal pH and temperature, stability in different buffers and temperatures, molecular weight, substrate spectrum, enzyme activators and inhibitors, kinetics and intracellular localisation. The determination of these parameters was necessary to ensure optimal conditions for application of these enzymes in the industry. At the final stage, the enzymes were combined in one mix with provided guanine deaminase and urate oxidase and used to degrade purines in selected food constituents. The application was successful and demonstrated the potential of this approach for the production of food with lower purine concentration.