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Lanza L, Rabe von Pappenheim F, Bjarnesen D, Leogrande C, Paul A, Krug L, Tittmann K, Müller M. Identification and Characterization of Thiamine Diphosphate-Dependent Lyases with an Unusual CDG Motif. Angew Chem Int Ed Engl 2024:e202404045. [PMID: 38874074 DOI: 10.1002/anie.202404045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/15/2024]
Abstract
The thiamine diphosphate (ThDP)-binding motif, characterized by the canonical GDG(X)24-27N sequence, is highly conserved among ThDP-dependent enzymes. We investigated a ThDP-dependent lyase (JanthE from Janthinobacterium sp. HH01) with an unusual cysteine (C458) replacing the first glycine of this motif. JanthE exhibits a high substrate promiscuity and accepts long aliphatic α-keto acids as donors. Sterically hindered aromatic aldehydes or non-activated ketones are acceptor substrates, giving access to a variety of secondary and tertiary alcohols as carboligation products. The crystal structure solved at a resolution of 1.9 Å reveals that C458 is not primarily involved in cofactor binding as previously thought for the canonical glycine. Instead, it coordinates methionine 406, thus ensuring the integrity of the active site and the enzyme activity. In addition, we have determined the long-sought genuine tetrahedral intermediates formed with pyruvate and 2-oxobutyrate in the pre-decarboxylation states and deciphered the atomic details for their stabilization in the active site. Collectively, we unravel an unexpected role for the first residue of the ThDP-binding motif and unlock a family of lyases that can perform valuable carboligation reactions.
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Affiliation(s)
- Lucrezia Lanza
- Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, Albertstrasse 25, 79104, Freiburg im Breisgau, Germany
| | - Fabian Rabe von Pappenheim
- Department of Molecular Enzymology, Georg-August Universität Göttingen, Max-Planck-Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Daniela Bjarnesen
- Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, Albertstrasse 25, 79104, Freiburg im Breisgau, Germany
| | - Camilla Leogrande
- Department of Molecular Enzymology, Georg-August Universität Göttingen, Max-Planck-Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Alexandra Paul
- Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, Albertstrasse 25, 79104, Freiburg im Breisgau, Germany
| | - Leonhard Krug
- Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, Albertstrasse 25, 79104, Freiburg im Breisgau, Germany
| | - Kai Tittmann
- Department of Molecular Enzymology, Georg-August Universität Göttingen, Max-Planck-Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Michael Müller
- Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, Albertstrasse 25, 79104, Freiburg im Breisgau, Germany
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2
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Spalletta A, Joly N, Martin P. Latest Trends in Lipase-Catalyzed Synthesis of Ester Carbohydrate Surfactants: From Key Parameters to Opportunities and Future Development. Int J Mol Sci 2024; 25:3727. [PMID: 38612540 PMCID: PMC11012184 DOI: 10.3390/ijms25073727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/22/2024] [Accepted: 03/23/2024] [Indexed: 04/14/2024] Open
Abstract
Carbohydrate-based surfactants are amphiphilic compounds containing hydrophilic moieties linked to hydrophobic aglycones. More specifically, carbohydrate esters are biosourced and biocompatible surfactants derived from inexpensive renewable raw materials (sugars and fatty acids). Their unique properties allow them to be used in various areas, such as the cosmetic, food, and medicine industries. These multi-applications have created a worldwide market for biobased surfactants and consequently expectations for their production. Biobased surfactants can be obtained from various processes, such as chemical synthesis or microorganism culture and surfactant purification. In accordance with the need for more sustainable and greener processes, the synthesis of these molecules by enzymatic pathways is an opportunity. This work presents a state-of-the-art lipase action mode, with a focus on the active sites of these proteins, and then on four essential parameters for optimizing the reaction: type of lipase, reaction medium, temperature, and ratio of substrates. Finally, this review discusses the latest trends and recent developments, showing the unlimited potential for optimization of such enzymatic syntheses.
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Affiliation(s)
| | - Nicolas Joly
- Unité Transformations & Agroressources, ULR7519, Université d’Artois-UniLaSalle, F-62408 Béthune, France; (A.S.); (P.M.)
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3
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Iacovelli R, He T, Allen JL, Hackl T, Haslinger K. Genome sequencing and molecular networking analysis of the wild fungus Anthostomella pinea reveal its ability to produce a diverse range of secondary metabolites. Fungal Biol Biotechnol 2024; 11:1. [PMID: 38172933 PMCID: PMC10763133 DOI: 10.1186/s40694-023-00170-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Filamentous fungi are prolific producers of bioactive molecules and enzymes with important applications in industry. Yet, the vast majority of fungal species remain undiscovered or uncharacterized. Here we focus our attention to a wild fungal isolate that we identified as Anthostomella pinea. The fungus belongs to a complex polyphyletic genus in the family of Xylariaceae, which is known to comprise endophytic and pathogenic fungi that produce a plethora of interesting secondary metabolites. Despite that, Anthostomella is largely understudied and only two species have been fully sequenced and characterized at a genomic level. RESULTS In this work, we used long-read sequencing to obtain the complete 53.7 Mb genome sequence including the full mitochondrial DNA. We performed extensive structural and functional annotation of coding sequences, including genes encoding enzymes with potential applications in biotechnology. Among others, we found that the genome of A. pinea encodes 91 biosynthetic gene clusters, more than 600 CAZymes, and 164 P450s. Furthermore, untargeted metabolomics and molecular networking analysis of the cultivation extracts revealed a rich secondary metabolism, and in particular an abundance of sesquiterpenoids and sesquiterpene lactones. We also identified the polyketide antibiotic xanthoepocin, to which we attribute the anti-Gram-positive effect of the extracts that we observed in antibacterial plate assays. CONCLUSIONS Taken together, our results provide a first glimpse into the potential of Anthstomella pinea to provide new bioactive molecules and biocatalysts and will facilitate future research into these valuable metabolites.
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Affiliation(s)
- R Iacovelli
- Department of Chemical and Pharmaceutical Biology, Groningen Research Institute of Pharmacy, University of Groningen, 9713 AV, Groningen, The Netherlands
| | - T He
- Department of Chemical and Pharmaceutical Biology, Groningen Research Institute of Pharmacy, University of Groningen, 9713 AV, Groningen, The Netherlands
| | - J L Allen
- Department of Biology, Eastern Washington University, Cheney, WA, 99004, USA
| | - T Hackl
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, 9747 AG, Groningen, The Netherlands
| | - K Haslinger
- Department of Chemical and Pharmaceutical Biology, Groningen Research Institute of Pharmacy, University of Groningen, 9713 AV, Groningen, The Netherlands.
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4
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Prešern U, Goličnik M. Enzyme Databases in the Era of Omics and Artificial Intelligence. Int J Mol Sci 2023; 24:16918. [PMID: 38069254 PMCID: PMC10707154 DOI: 10.3390/ijms242316918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 11/24/2023] [Accepted: 11/26/2023] [Indexed: 12/18/2023] Open
Abstract
Enzyme research is important for the development of various scientific fields such as medicine and biotechnology. Enzyme databases facilitate this research by providing a wide range of information relevant to research planning and data analysis. Over the years, various databases that cover different aspects of enzyme biology (e.g., kinetic parameters, enzyme occurrence, and reaction mechanisms) have been developed. Most of the databases are curated manually, which improves reliability of the information; however, such curation cannot keep pace with the exponential growth in published data. Lack of data standardization is another obstacle for data extraction and analysis. Improving machine readability of databases is especially important in the light of recent advances in deep learning algorithms that require big training datasets. This review provides information regarding the current state of enzyme databases, especially in relation to the ever-increasing amount of generated research data and recent advancements in artificial intelligence algorithms. Furthermore, it describes several enzyme databases, providing the reader with necessary information for their use.
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Affiliation(s)
| | - Marko Goličnik
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia;
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5
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Burgener S, Dačević B, Zhang X, Ward TR. Binding Interactions and Inhibition Mechanisms of Gold Complexes in Thiamine Diphosphate-Dependent Enzymes. Biochemistry 2023; 62:3303-3311. [PMID: 37931174 DOI: 10.1021/acs.biochem.3c00376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Thiamine diphosphate (ThDP)-dependent enzymes possess the unique ability to generate a carbene within their active site. In this study, we sought to harness this carbene to produce a Au(I) N-heterocyclic complex directly in the active site of ThDP enzymes, thereby establishing a novel platform for artificial metalloenzymes. Because direct metalation of ThDP proved challenging, we synthesized a ThDP mimic that acts as a competitive inhibitor with a high affinity (Ki = 1.5 μM). Upon metalation with Au(I), we observed that the complex became a more potent inhibitor (Ki = 0.7 μM). However, detailed analysis of the inhibition mode, native mass spectrometry, and size exclusion experiments revealed that the complex does not bind specifically to the active site of ThDP enzymes. Instead, it exhibits unspecific binding and exceeds the 1:1 stoichiometry. Similar binding patterns were observed for other Au(I) species. These findings prompt an important question regarding the inherent propensity of ThDP enzymes to bind strongly to Au. If this phenomenon holds true, it could pave the way for the development of Au-based drugs targeting these enzymes.
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Affiliation(s)
- Simon Burgener
- Department of Chemistry, University of Basel, Mattenstrasse 24a, BPR 1096 4058, Basel, Switzerland
| | - Bratislav Dačević
- Department of Chemistry, University of Basel, Mattenstrasse 24a, BPR 1096 4058, Basel, Switzerland
| | - Xiang Zhang
- Department of Chemistry, University of Basel, Mattenstrasse 24a, BPR 1096 4058, Basel, Switzerland
| | - Thomas R Ward
- Department of Chemistry, University of Basel, Mattenstrasse 24a, BPR 1096 4058, Basel, Switzerland
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6
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Bown L, Hirota R, Goettge MN, Cui J, Krist DT, Zhu L, Giurgiu C, van der Donk WA, Ju KS, Metcalf WW. A Novel Pathway for Biosynthesis of the Herbicidal Phosphonate Natural Product Phosphonothrixin Is Widespread in Actinobacteria. J Bacteriol 2023; 205:e0048522. [PMID: 37074199 PMCID: PMC10210982 DOI: 10.1128/jb.00485-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/23/2023] [Indexed: 04/20/2023] Open
Abstract
Phosphonothrixin is an herbicidal phosphonate natural product with an unusual, branched carbon skeleton. Bioinformatic analyses of the ftx gene cluster, which is responsible for synthesis of the compound, suggest that early steps of the biosynthetic pathway, up to production of the intermediate 2,3-dihydroxypropylphosphonic acid (DHPPA) are identical to those of the unrelated phosphonate natural product valinophos. This conclusion was strongly supported by the observation of biosynthetic intermediates from the shared pathway in spent media from two phosphonothrixin producing strains. Biochemical characterization of ftx-encoded proteins confirmed these early steps, as well as subsequent steps involving the oxidation of DHPPA to 3-hydroxy-2-oxopropylphosphonate and its conversion to phosphonothrixin by the combined action of an unusual heterodimeric, thiamine-pyrophosphate (TPP)-dependent ketotransferase and a TPP-dependent acetolactate synthase. The frequent observation of ftx-like gene clusters within actinobacteria suggests that production of compounds related to phosphonothrixin is common within these bacteria. IMPORTANCE Phosphonic acid natural products, such as phosphonothrixin, have great potential for biomedical and agricultural applications; however, discovery and development of these compounds requires detailed knowledge of the metabolism involved in their biosynthesis. The studies reported here reveal the biochemical pathway phosphonothrixin production, which enhances our ability to design strains that overproduce this potentially useful herbicide. This knowledge also improves our ability to predict the products of related biosynthetic gene clusters and the functions of homologous enzymes.
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Affiliation(s)
- Luke Bown
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Ryuichi Hirota
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima City, Hiroshima, Japan
| | - Michelle N. Goettge
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Jerry Cui
- Department of Microbiology, The Ohio State University, Columbus, Ohio, USA
| | - David T. Krist
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Lingyang Zhu
- Department of Chemistry and the Howard Hughes Medical Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Constantin Giurgiu
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Wilfred A. van der Donk
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Chemistry and the Howard Hughes Medical Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Kou-San Ju
- Department of Microbiology, The Ohio State University, Columbus, Ohio, USA
- Division of Medicinal Chemistry and Pharmacognosy, The Ohio State University, Columbus, Ohio, USA
- Infectious Diseases Institute, The Ohio State University, Columbus, Ohio, USA
- Center for Applied Plant Sciences, The Ohio State University, Columbus, Ohio, USA
| | - William W. Metcalf
- Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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7
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Yu T, Boob AG, Volk MJ, Liu X, Cui H, Zhao H. Machine learning-enabled retrobiosynthesis of molecules. Nat Catal 2023. [DOI: 10.1038/s41929-022-00909-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
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ROCker Models for Reliable Detection and Typing of Short-Read Sequences Carrying β-Lactamase Genes. mSystems 2022; 7:e0128121. [PMID: 35638728 PMCID: PMC9238382 DOI: 10.1128/msystems.01281-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Identification of genes encoding β-lactamases (BLs) from short-read sequences remains challenging due to the high frequency of shared amino acid functional domains and motifs in proteins encoded by BL genes and related non-BL gene sequences. Divergent BL homologs can be frequently missed during similarity searches, which has important practical consequences for monitoring antibiotic resistance. To address this limitation, we built ROCker models that targeted broad classes (e.g., class A, B, C, and D) and individual families (e.g., TEM) of BLs and challenged them with mock 150-bp- and 250-bp-read data sets of known composition. ROCker identifies most-discriminant bit score thresholds in sliding windows along the sequence of the target protein sequence and hence can account for nondiscriminative domains shared by unrelated proteins. BL ROCker models showed a 0% false-positive rate (FPR), a 0% to 4% false-negative rate (FNR), and an up-to-50-fold-higher F1 score [2 × precision × recall/(precision + recall)] compared to alternative methods, such as similarity searches using BLASTx with various e-value thresholds and BL hidden Markov models, or tools like DeepARG, ShortBRED, and AMRFinder. The ROCker models and the underlying protein sequence reference data sets and phylogenetic trees for read placement are freely available through http://enve-omics.ce.gatech.edu/data/rocker-bla. Application of these BL ROCker models to metagenomics, metatranscriptomics, and high-throughput PCR gene amplicon data should facilitate the reliable detection and quantification of BL variants encoded by environmental or clinical isolates and microbiomes and more accurate assessment of the associated public health risk, compared to the current practice. IMPORTANCE Resistance genes encoding β-lactamases (BLs) confer resistance to the widely prescribed antibiotic class β-lactams. Therefore, it is important to assess the prevalence of BL genes in clinical or environmental samples for monitoring the spreading of these genes into pathogens and estimating public health risk. However, detecting BLs in short-read sequence data is technically challenging. Our ROCker model-based bioinformatics approach showcases the reliable detection and typing of BLs in complex data sets and thus contributes toward solving an important problem in antibiotic resistance surveillance. The ROCker models developed substantially expand the toolbox for monitoring antibiotic resistance in clinical or environmental settings.
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Kanza S, Willoughby C, Bird CL, Frey JG. eScience Infrastructures in Physical Chemistry. Annu Rev Phys Chem 2021; 73:97-116. [PMID: 34882434 DOI: 10.1146/annurev-physchem-082120-041521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
As the volume of data associated with scientific research has exploded over recent years, the use of digital infrastructures to support this research and the data underpinning it has increased significantly. Physical chemists have been making use of eScience infrastructures since their conception, but in the last five years their usage has increased even more. While these infrastructures have not greatly affected the chemistry itself, they have in some cases had a significant impact on how the research is undertaken. The combination of the human effort of collaboration to create open source software tools and semantic resources, the increased availability of hardware for the laboratories, and the range of data management tools available has made the life of a physical chemist significantly easier. This review considers the different aspects of eScience infrastructures and explores how they have improved the way in which we can conduct physical chemistry research. Expected final online publication date for the Annual Review of Physical Chemistry, Volume 73 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Samantha Kanza
- School of Chemistry, University of Southampton, Southampton, United Kingdom; , , ,
| | - Cerys Willoughby
- School of Chemistry, University of Southampton, Southampton, United Kingdom; , , ,
| | - Colin Leonard Bird
- School of Chemistry, University of Southampton, Southampton, United Kingdom; , , ,
| | - Jeremy Graham Frey
- School of Chemistry, University of Southampton, Southampton, United Kingdom; , , ,
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10
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Orlando M, Buchholz PCF, Lotti M, Pleiss J. The GH19 Engineering Database: Sequence diversity, substrate scope, and evolution in glycoside hydrolase family 19. PLoS One 2021; 16:e0256817. [PMID: 34699529 PMCID: PMC8547705 DOI: 10.1371/journal.pone.0256817] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 08/16/2021] [Indexed: 01/21/2023] Open
Abstract
The glycoside hydrolase 19 (GH19) is a bifunctional family of chitinases and endolysins, which have been studied for the control of plant fungal pests, the recycle of chitin biomass, and the treatment of multi-drug resistant bacteria. The GH19 domain-containing sequences (22,461) were divided into a chitinase and an endolysin subfamily by analyzing sequence networks, guided by taxonomy and the substrate specificity of characterized enzymes. The chitinase subfamily was split into seventeen groups, thus extending the previous classification. The endolysin subfamily is more diverse and consists of thirty-four groups. Despite their sequence diversity, twenty-six residues are conserved in chitinases and endolysins, which can be distinguished by two specific sequence patterns at six and four positions, respectively. Their location outside the catalytic cleft suggests a possible mechanism for substrate specificity that goes beyond the direct interaction with the substrate. The evolution of the GH19 catalytic domain was investigated by large-scale phylogeny. The inferred evolutionary history and putative horizontal gene transfer events differ from previous works. While no clear patterns were detected in endolysins, chitinases varied in sequence length by up to four loop insertions, causing at least eight distinct presence/absence loop combinations. The annotated GH19 sequences and structures are accessible via the GH19 Engineering Database (GH19ED, https://gh19ed.biocatnet.de). The GH19ED has been developed to support the prediction of substrate specificity and the search for novel GH19 enzymes from neglected taxonomic groups or in regions of the sequence space where few sequences have been described yet.
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Affiliation(s)
- Marco Orlando
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy
| | - Patrick C. F. Buchholz
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Marina Lotti
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
- * E-mail:
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11
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Peng M, Siebert DL, Engqvist MKM, Niemeyer CM, Rabe KS. Modeling-Assisted Design of Thermostable Benzaldehyde Lyases from Rhodococcus erythropolis for Continuous Production of α-Hydroxy Ketones. Chembiochem 2021; 23:e202100468. [PMID: 34558792 PMCID: PMC9293332 DOI: 10.1002/cbic.202100468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 09/23/2021] [Indexed: 12/18/2022]
Abstract
Enantiopure α-hydroxy ketones are important building blocks of active pharmaceutical ingredients (APIs), which can be produced by thiamine-diphosphate-dependent lyases, such as benzaldehyde lyase. Here we report the discovery of a novel thermostable benzaldehyde lyase from Rhodococcus erythropolis R138 (ReBAL). While the overall sequence identity to the only experimentally confirmed benzaldehyde lyase from Pseudomonas fluorescens Biovar I (PfBAL) was only 65 %, comparison of a structural model of ReBAL with the crystal structure of PfBAL revealed only four divergent amino acids in the substrate binding cavity. Based on rational design, we generated two ReBAL variants, which were characterized along with the wild-type enzyme in terms of their substrate spectrum, thermostability and biocatalytic performance in the presence of different co-solvents. We found that the new enzyme variants have a significantly higher thermostability (up to 22 °C increase in T50 ) and a different co-solvent-dependent activity. Using the most stable variant immobilized in packed-bed reactors via the SpyCatcher/SpyTag system, (R)-benzoin was synthesized from benzaldehyde over a period of seven days with a stable space-time-yield of 9.3 mmol ⋅ L-1 ⋅ d-1 . Our work expands the important class of benzaldehyde lyases and therefore contributes to the development of continuous biocatalytic processes for the production of α-hydroxy ketones and APIs.
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Affiliation(s)
- Martin Peng
- Karlsruhe Institute of Technology (KIT), Institute for Biological Interfaces (IBG 1), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Dominik L Siebert
- Karlsruhe Institute of Technology (KIT), Institute for Biological Interfaces (IBG 1), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Martin K M Engqvist
- Chalmers University of Technology, Department of Biology and Biological Engineering, Division of Systems and Synthetic Biology, Kemivägen 10, 412 96, Gothenburg, Sweden
| | - Christof M Niemeyer
- Karlsruhe Institute of Technology (KIT), Institute for Biological Interfaces (IBG 1), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Kersten S Rabe
- Karlsruhe Institute of Technology (KIT), Institute for Biological Interfaces (IBG 1), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
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12
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Orlando M, Pucciarelli S, Lotti M. Endolysins from Antarctic Pseudomonas Display Lysozyme Activity at Low Temperature. Mar Drugs 2020; 18:E579. [PMID: 33233712 PMCID: PMC7699920 DOI: 10.3390/md18110579] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 11/17/2020] [Accepted: 11/18/2020] [Indexed: 12/18/2022] Open
Abstract
Organisms specialized to thrive in cold environments (so-called psychrophiles) produce enzymes with the remarkable ability to catalyze chemical reactions at low temperature. Cold activity relies on adaptive changes in the proteins' sequence and structural organization that result in high conformational flexibility. As a consequence of flexibility, several such enzymes are inherently heat sensitive. Cold-active enzymes are of interest for application in a number of bioprocesses, where cold activity coupled with easy thermal inactivation can be of advantage. We describe the biochemical and functional properties of two glycosyl hydrolases (named LYS177 and LYS188) of family 19 (GH19), identified in the genome of an Antarctic marine Pseudomonas. Molecular evolutionary analysis placed them in a group of characterized GH19 endolysins active on lysozyme substrates, such as peptidoglycan. Enzyme activity peaks at about 25-35 °C and 40% residual activity is retained at 5 °C. LYS177 and LYS188 are thermolabile, with Tm of 52 and 45 °C and half-lives of 48 and 12 h at 37 °C, respectively. Bioinformatics analyses suggest that low heat stability may be associated to temperature-driven increases in local flexibility occurring mainly in a specific region of the polypeptide that is predicted to contain hot spots for aggregation.
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Affiliation(s)
- Marco Orlando
- Department of Biotechnology and Biosciences, State University of Milano Bicocca, 20126 Milano, Italy;
| | - Sandra Pucciarelli
- School of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy;
| | - Marina Lotti
- Department of Biotechnology and Biosciences, State University of Milano Bicocca, 20126 Milano, Italy;
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13
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Marsden SR, McMillan DGG, Hanefeld U. Assessing the Thiamine Diphosphate Dependent Pyruvate Dehydrogenase E1 Subunit for Carboligation Reactions with Aliphatic Ketoacids. Int J Mol Sci 2020; 21:ijms21228641. [PMID: 33207817 PMCID: PMC7696235 DOI: 10.3390/ijms21228641] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/12/2020] [Accepted: 11/12/2020] [Indexed: 12/31/2022] Open
Abstract
The synthetic properties of the Thiamine diphosphate (ThDP)-dependent pyruvate dehydrogenase E1 subunit from Escherichia coli (EcPDH E1) was assessed for carboligation reactions with aliphatic ketoacids. Due to its role in metabolism, EcPDH E1 was previously characterised with respect to its biochemical properties, but it was never applied for synthetic purposes. Here, we show that EcPDH E1 is a promising biocatalyst for the production of chiral α-hydroxyketones. WT EcPDH E1 shows a 180-250-fold higher catalytic efficiency towards 2-oxobutyrate or pyruvate, respectively, in comparison to engineered transketolase variants from Geobacillus stearothermophilus (TKGST). Its broad active site cleft allows for the efficient conversion of both (R)- and (S)-configured α-hydroxyaldehydes, next to linear and branched aliphatic aldehydes as acceptor substrates under kinetically controlled conditions. The alternate, thermodynamically controlled self-reaction of aliphatic aldehydes was shown to be limited to low levels of conversion, which we propose to be due to their large hydration constants. Additionally, the thermodynamically controlled approach was demonstrated to suffer from a loss of stereoselectivity, which makes it unfeasible for aliphatic substrates.
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14
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Lohoff C, Buchholz PCF, Le Roes-Hill M, Pleiss J. Expansin Engineering Database: A navigation and classification tool for expansins and homologues. Proteins 2020; 89:149-162. [PMID: 32862462 DOI: 10.1002/prot.26001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/16/2020] [Accepted: 08/25/2020] [Indexed: 11/07/2022]
Abstract
Expansins have the remarkable ability to loosen plant cell walls and cellulose material without showing catalytic activity and therefore have potential applications in biomass degradation. To support the study of sequence-structure-function relationships and the search for novel expansins, the Expansin Engineering Database (ExED, https://exed.biocatnet.de) collected sequence and structure data on expansins from Bacteria, Fungi, and Viridiplantae, and expansin-like homologues such as carbohydrate binding modules, glycoside hydrolases, loosenins, swollenins, cerato-platanins, and EXPNs. Based on global sequence alignment and protein sequence network analysis, the sequences are highly diverse. However, many similarities were found between the expansin domains. Newly created profile hidden Markov models of the two expansin domains enable standard numbering schemes, comprehensive conservation analyses, and genome annotation. Conserved key amino acids in the expansin domains were identified, a refined classification of expansins and carbohydrate binding modules was proposed, and new sequence motifs facilitate the search of novel candidate genes and the engineering of expansins.
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Affiliation(s)
- Caroline Lohoff
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Patrick C F Buchholz
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Marilize Le Roes-Hill
- Applied Microbial and Health Biotechnology Institute, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
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15
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Gräff M, Buchholz PCF, Le Roes‐Hill M, Pleiss J. Multicopper oxidases: modular structure, sequence space, and evolutionary relationships. Proteins 2020; 88:1329-1339. [DOI: 10.1002/prot.25952] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/22/2020] [Accepted: 05/16/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Maike Gräff
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart Stuttgart Germany
| | - Patrick C. F. Buchholz
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart Stuttgart Germany
| | - Marilize Le Roes‐Hill
- Applied Microbial and Health Biotechnology Institute, Cape Peninsula University of Technology Bellville South Africa
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart Stuttgart Germany
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16
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Gygli G, Pleiss J. Simulation Foundry: Automated and F.A.I.R. Molecular Modeling. J Chem Inf Model 2020; 60:1922-1927. [DOI: 10.1021/acs.jcim.0c00018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Gudrun Gygli
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany
| | - Juergen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany
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17
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Woodley JM. Advances in biological conversion technologies: new opportunities for reaction engineering. REACT CHEM ENG 2020. [DOI: 10.1039/c9re00422j] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Reaction engineering needs to embrace biological conversion technologies, on the road to identify more sustainable routes for chemical manufacture.
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Affiliation(s)
- John M. Woodley
- Department of Chemical and Biochemical Engineering
- Technical University of Denmark (DTU)
- DK-2800 Kgs. Lyngby
- Denmark
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18
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Bauer TL, Buchholz PCF, Pleiss J. The modular structure of α/β-hydrolases. FEBS J 2019; 287:1035-1053. [PMID: 31545554 DOI: 10.1111/febs.15071] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 08/15/2019] [Accepted: 09/19/2019] [Indexed: 12/22/2022]
Abstract
The α/β-hydrolase fold family is highly diverse in sequence, structure and biochemical function. To investigate the sequence-structure-function relationships, the Lipase Engineering Database (https://led.biocatnet.de) was updated. Overall, 280 638 protein sequences and 1557 protein structures were analysed. All α/β-hydrolases consist of the catalytically active core domain, but they might also contain additional structural modules, resulting in 12 different architectures: core domain only, additional lids at three different positions, three different caps, additional N- or C-terminal domains and combinations of N- and C-terminal domains with caps and lids respectively. In addition, the α/β-hydrolases were distinguished by their oxyanion hole signature (GX-, GGGX- and Y-types). The N-terminal domains show two different folds, the Rossmann fold or the β-propeller fold. The C-terminal domains show a β-sandwich fold. The N-terminal β-propeller domain and the C-terminal β-sandwich domain are structurally similar to carbohydrate-binding proteins such as lectins. The classification was applied to the newly discovered polyethylene terephthalate (PET)-degrading PETases and MHETases, which are core domain α/β-hydrolases of the GX- and the GGGX-type respectively. To investigate evolutionary relationships, sequence networks were analysed. The degree distribution followed a power law with a scaling exponent γ = 1.4, indicating a highly inhomogeneous network which consists of a few hubs and a large number of less connected sequences. The hub sequences have many functional neighbours and therefore are expected to be robust toward possible deleterious effects of mutations. The cluster size distribution followed a power law with an extrapolated scaling exponent τ = 2.6, which strongly supports the connectedness of the sequence space of α/β-hydrolases. DATABASE: Supporting data about domains from other proteins with structural similarity to the N- or C-terminal domains of α/β-hydrolases are available in Data Repository of the University of Stuttgart (DaRUS) under doi: https://doi.org/10.18419/darus-458.
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Affiliation(s)
- Tabea L Bauer
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Germany
| | - Patrick C F Buchholz
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Germany
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Germany
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19
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A simple linearization method unveils hidden enzymatic assay interferences. Biophys Chem 2019; 252:106193. [DOI: 10.1016/j.bpc.2019.106193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 05/23/2019] [Accepted: 05/26/2019] [Indexed: 01/09/2023]
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20
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Gräff M, Buchholz PC, Stockinger P, Bommarius B, Bommarius AS, Pleiss J. The Short‐chain Dehydrogenase/Reductase Engineering Database (SDRED): A classification and analysis system for a highly diverse enzyme family. Proteins 2019; 87:443-451. [DOI: 10.1002/prot.25666] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 01/26/2019] [Accepted: 01/31/2019] [Indexed: 12/17/2022]
Affiliation(s)
- Maike Gräff
- Institute of Biochemistry and Technical BiochemistryUniversity of Stuttgart Stuttgart Germany
| | - Patrick C.F. Buchholz
- Institute of Biochemistry and Technical BiochemistryUniversity of Stuttgart Stuttgart Germany
| | - Peter Stockinger
- Institute of Biochemistry and Technical BiochemistryUniversity of Stuttgart Stuttgart Germany
| | - Bettina Bommarius
- Department of Chemical and Biomolecular EngineeringGeorgia Institute of Technology Atlanta Georgia
| | - Andreas S. Bommarius
- Department of Chemical and Biomolecular EngineeringGeorgia Institute of Technology Atlanta Georgia
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical BiochemistryUniversity of Stuttgart Stuttgart Germany
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21
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Hampel S, Steitz JP, Baierl A, Lehwald P, Wiesli L, Richter M, Fries A, Pohl M, Schneider G, Dobritzsch D, Müller M. Structural and Mutagenesis Studies of the Thiamine-Dependent, Ketone-Accepting YerE from Pseudomonas protegens. Chembiochem 2018; 19:2283-2292. [DOI: 10.1002/cbic.201800325] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Indexed: 12/18/2022]
Affiliation(s)
- Sabrina Hampel
- Institut für Pharmazeutische Wissenschaften; Albert-Ludwigs-Universität Freiburg; Albertstrasse 25 79104 Freiburg Germany
| | - Jan-Patrick Steitz
- Institut für Pharmazeutische Wissenschaften; Albert-Ludwigs-Universität Freiburg; Albertstrasse 25 79104 Freiburg Germany
| | - Anna Baierl
- IBG-1: Biotechnology; Forschungszentrum Jülich GmbH; Wilhelm-Johnen Str. 52425 Jülich Germany
| | - Patrizia Lehwald
- Institut für Pharmazeutische Wissenschaften; Albert-Ludwigs-Universität Freiburg; Albertstrasse 25 79104 Freiburg Germany
| | - Luzia Wiesli
- Empa - Swiss Federal Laboratories for Materials Science and Technology; Laboratory for Biointerfaces; Lerchenfeldstrasse 5 9014 St. Gallen Switzerland
| | - Michael Richter
- Empa - Swiss Federal Laboratories for Materials Science and Technology; Laboratory for Biointerfaces; Lerchenfeldstrasse 5 9014 St. Gallen Switzerland
- Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB; Branch BioCat; Schulgasse 11a 94315 Straubing Germany
| | - Alexander Fries
- Institut für Pharmazeutische Wissenschaften; Albert-Ludwigs-Universität Freiburg; Albertstrasse 25 79104 Freiburg Germany
| | - Martina Pohl
- IBG-1: Biotechnology; Forschungszentrum Jülich GmbH; Wilhelm-Johnen Str. 52425 Jülich Germany
| | - Gunter Schneider
- Department of Medical Biochemistry and Biophysics; Karolinska Institutet; Tomtebodavägen 6 17177 Stockholm Sweden
| | - Doreen Dobritzsch
- Vising address: Department of Chemistry-BMC; Uppsala Universitet; Husargatan 3 75237 Uppsala Sweden
| | - Michael Müller
- Institut für Pharmazeutische Wissenschaften; Albert-Ludwigs-Universität Freiburg; Albertstrasse 25 79104 Freiburg Germany
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22
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Buchholz PCF, Ohs R, Spiess AC, Pleiss J. Progress Curve Analysis Within BioCatNet: Comparing Kinetic Models for Enzyme-Catalyzed Self-Ligation. Biotechnol J 2018; 14:e1800183. [DOI: 10.1002/biot.201800183] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/15/2018] [Indexed: 11/08/2022]
Affiliation(s)
- Patrick C. F. Buchholz
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart; Stuttgart Germany
| | - Rüdiger Ohs
- Institute for Biochemical Engineering, Technical University of Braunschweig; Braunschweig Germany
| | - Antje C. Spiess
- Institute for Biochemical Engineering, Technical University of Braunschweig; Braunschweig Germany
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart; Stuttgart Germany
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23
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Baierl A, Theorell A, Mackfeld U, Marquardt P, Hoffmann F, Moers S, Nöh K, Buchholz PCF, Pleiss J, Pohl M. Towards a Mechanistic Understanding of Factors Controlling the Stereoselectivity of Transketolase. ChemCatChem 2018. [DOI: 10.1002/cctc.201800299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anna Baierl
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH; 52425 Jülich Germany
| | - Axel Theorell
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH; 52425 Jülich Germany
| | - Ursula Mackfeld
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH; 52425 Jülich Germany
| | - Philipp Marquardt
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH; 52425 Jülich Germany
| | | | - Stephanie Moers
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH; 52425 Jülich Germany
| | - Katharina Nöh
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH; 52425 Jülich Germany
| | - Patrick C. F. Buchholz
- Institute of Biochemistry and Technical Biochemistry; University of Stuttgart; 70569 Stuttgart Germany
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry; University of Stuttgart; 70569 Stuttgart Germany
| | - Martina Pohl
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH; 52425 Jülich Germany
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24
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Swainston N, Baici A, Bakker BM, Cornish-Bowden A, Fitzpatrick PF, Halling P, Leyh TS, O'Donovan C, Raushel FM, Reschel U, Rohwer JM, Schnell S, Schomburg D, Tipton KF, Tsai MD, Westerhoff HV, Wittig U, Wohlgemuth R, Kettner C. STRENDA DB: enabling the validation and sharing of enzyme kinetics data. FEBS J 2018; 285:2193-2204. [PMID: 29498804 DOI: 10.1111/febs.14427] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 02/27/2018] [Indexed: 01/15/2023]
Abstract
Standards for reporting enzymology data (STRENDA) DB is a validation and storage system for enzyme function data that incorporates the STRENDA Guidelines. It provides authors who are preparing a manuscript with a user-friendly, web-based service that checks automatically enzymology data sets entered in the submission form that they are complete and valid before they are submitted as part of a publication to a journal.
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Affiliation(s)
- Neil Swainston
- Manchester Centre for Synthetic Biology of Fine and Speciality Chemicals, Manchester Institute of Biotechnology, University of Manchester, UK
| | - Antonio Baici
- Department of Biochemistry, University of Zürich, Switzerland
| | - Barbara M Bakker
- University Medical Center Groningen, University of Groningen, The Netherlands
| | | | | | - Peter Halling
- WestCHEM, Department of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK
| | - Thomas S Leyh
- The Albert-Einstein-College of Medicine, Bronx, NY, USA
| | - Claire O'Donovan
- European Bioinformatics Institute, EMBL Outstation, Cambridge, UK
| | - Frank M Raushel
- Department of Chemistry, Texas A&M University, College Station, TX, USA
| | - Udo Reschel
- Beilstein-Institut, Frankfurt am Main, Germany
| | - Johann M Rohwer
- Department of Biochemistry, University of Stellenbosch, South Africa
| | - Santiago Schnell
- Department of Molecular & Integrative Physiology, Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Dietmar Schomburg
- Bioinformatics and Systems Biology, Technical University of Braunschweig, Germany
| | - Keith F Tipton
- School of Biochemistry and Immunology, Trinity College Dublin, Dublin, Ireland
| | - Ming-Daw Tsai
- Institute of Biochemical Sciences, Academia Sinica, Taipei, Taiwan
| | - Hans V Westerhoff
- Manchester Centre for Integrative Systems Biology, School for Chemical Engineering and Analytical Science, University of Manchester, UK.,Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Science, University of Amsterdam, The Netherlands.,Molecular Cell Biology, Faculty of Sciences, Vrije Universiteit Amsterdam, The Netherlands
| | - Ulrike Wittig
- Heidelberg Institute for Theoretical Studies (HITS gGmbH), Germany
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25
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Buß O, Buchholz PCF, Gräff M, Klausmann P, Rudat J, Pleiss J. The ω-transaminase engineering database (oTAED): A navigation tool in protein sequence and structure space. Proteins 2018; 86:566-580. [PMID: 29423963 DOI: 10.1002/prot.25477] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Revised: 02/03/2018] [Accepted: 02/06/2018] [Indexed: 01/02/2023]
Abstract
The ω-Transaminase Engineering Database (oTAED) was established as a publicly accessible resource on sequences and structures of the biotechnologically relevant ω-transaminases (ω-TAs) from Fold types I and IV. The oTAED integrates sequence and structure data, provides a classification based on fold type and sequence similarity, and applies a standard numbering scheme to identify equivalent positions in homologous proteins. The oTAED includes 67 210 proteins (114 655 sequences) which are divided into 169 homologous families based on global sequence similarity. The 44 and 39 highly conserved positions which were identified in Fold type I and IV, respectively, include the known catalytic residues and a large fraction of glycines and prolines in loop regions, which might have a role in protein folding and stability. However, for most of the conserved positions the function is still unknown. Literature information on positions that mediate substrate specificity and stereoselectivity was systematically examined. The standard numbering schemes revealed that many positions which have been described in different enzymes are structurally equivalent. For some positions, multiple functional roles have been suggested based on experimental data in different enzymes. The proposed standard numbering schemes for Fold type I and IV ω-TAs assist with analysis of literature data, facilitate annotation of ω-TAs, support prediction of promising mutation sites, and enable navigation in ω-TA sequence space. Thus, it is a useful tool for enzyme engineering and the selection of novel ω-TA candidates with desired biochemical properties.
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Affiliation(s)
- Oliver Buß
- Institute of Process Engineering in Life Sciences, Karlsruhe Institute of Technology, Engler-Bunte-Ring 3, Karlsruhe, 76131, Germany
| | - Patrick C F Buchholz
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, Stuttgart, 70569, Germany
| | - Maike Gräff
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, Stuttgart, 70569, Germany
| | - Peter Klausmann
- Institute of Process Engineering in Life Sciences, Karlsruhe Institute of Technology, Engler-Bunte-Ring 3, Karlsruhe, 76131, Germany
| | - Jens Rudat
- Institute of Process Engineering in Life Sciences, Karlsruhe Institute of Technology, Engler-Bunte-Ring 3, Karlsruhe, 76131, Germany
| | - Jürgen Pleiss
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 31, Stuttgart, 70569, Germany
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26
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Owen C, Patron N, Huang A, Osbourn A. Harnessing plant metabolic diversity. Curr Opin Chem Biol 2017; 40:24-30. [PMID: 28527344 PMCID: PMC5693780 DOI: 10.1016/j.cbpa.2017.04.015] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 04/20/2017] [Indexed: 01/09/2023]
Abstract
Advances in DNA sequencing and synthesis technologies in the twenty-first century are now making it possible to build large-scale pipelines for engineering plant natural product pathways into heterologous production species using synthetic biology approaches. The ability to decode the chemical potential of plants by sequencing their transcriptomes and/or genomes and to then use this information as an instruction manual to make drugs and other high-value chemicals is opening up new routes to harness the vast chemical diversity of the Plant Kingdom. Here we describe recent progress in methods for pathway discovery, DNA synthesis and assembly, and expression of engineered pathways in heterologous hosts. We also highlight the importance of standardization and the challenges associated with dataset integration in the drive to build a systematic framework for effective harnessing of plant metabolic diversity.
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Affiliation(s)
- Charlie Owen
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK
| | - Nicola Patron
- Engineering Biology, the Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK
| | - Ancheng Huang
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK
| | - Anne Osbourn
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK
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27
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Schmid J, Steiner L, Fademrecht S, Pleiss J, Otte KB, Hauer B. Biocatalytic study of novel oleate hydratases. ACTA ACUST UNITED AC 2016. [DOI: 10.1016/j.molcatb.2017.01.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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