13 research outputs found
Sulfonium Acids Loaded onto an Unusual Thiotemplate Assembly Line Construct the Cyclopropanol Warhead of a Burkholderia Virulence Factor
Pathogenic bacteria of the Burkholderia pseudomallei group cause severe infectious diseases such as glanders and melioidosis. Malleicyprols were identified as important bacterial virulence factors, yet the biosynthetic origin of their cyclopropanol warhead has remained enigmatic. By a combination of mutational analysis and metabolomics we found that sulfonium acids, dimethylsulfoniumpropionate (DMSP) and gonyol, known as osmolytes and as crucial components in the global organosulfur cycle, are key intermediates en route to the cyclopropanol unit. Functional genetics and in vitro analyses uncover a specialized pathway to DMSP involving a rare prokaryotic SET-domain methyltransferase for a cryptic methylation, and show that DMSP is loaded onto the NRPS-PKS hybrid assembly line by an adenylation domain dedicated to zwitterionic starter units. Then, the megasynthase transforms DMSP into gonyol, as demonstrated by heterologous pathway reconstitution in E. coli. © 2020 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA
Total Synthesis and Functional Evaluation of IORs, Sulfonolipid‐based Inhibitors of Cell Differentiation in Salpingoeca rosetta
The choanoflagellate Salpingoeca rosetta is an important model system to study the evolution of multicellularity. In this study we developed a new, modular, and scalable synthesis of sulfonolipid IOR‐1A (six steps, 27 % overall yield), which acts as bacterial inhibitor of rosette formation in S. rosetta . The synthesis features a decarboxylative cross‐coupling reaction of a sulfonic acid‐containing tartaric acid derivative with alkyl zinc reagents. Synthesis of 15 modified IOR‐1A derivatives, including fluorescent and photoaffinity‐based probes, allowed quantification of IOR‐1A, localization studies within S. rosetta cells, and evaluation of structure‐activity relations. In a proof of concept study, an inhibitory bifunctional probe was employed in proteomic profiling studies, which allowed to deduce binding partners in bacteria and S. rosetta . These results showcase the power of synthetic chemistry to decipher the biochemical basis of cell differentiation processes within S. rosetta
De novo enzymes by computational design
Computational enzyme design has emerged as a promising tool for generating made-to-order biocatalysts. In addition to improving the reliability of the design cycle, current efforts in this area are focusing on expanding the set of catalyzed reactions and investigating the structure and mechanism of individual designs. Although the activities of de novo enzymes are typically low, they can be significantly increased by directed evolution. Analysis of their evolutionary trajectories provides valuable feedback for the design algorithms and can enhance our understanding of natural protein evolution
A Subdomain Swap Strategy for Reengineering Nonribosomal Peptides
SummaryNonribosomal peptide synthetases (NRPSs) protect microorganisms from environmental threats by producing diverse siderophores, antibiotics, and other peptide natural products. Their modular molecular structure is also attractive from the standpoint of biosynthetic engineering. Here we evaluate a methodology for swapping module specificities of these mega-enzymes that takes advantage of flavodoxin-like subdomains involved in substrate recognition. Nine subdomains encoding diverse specificities were transplanted into the Phe-specific GrsA initiation module of gramicidin S synthetase. All chimeras could be purified as soluble protein. One construct based on a Val-specific subdomain showed sizable adenylation activity and functioned as a Val-Pro diketopiperazine synthetase upon addition of the proline-specific GrsB1 module. These results suggest that subdomain swapping could be a viable alternative to previous NRPS design approaches targeting binding pockets, domains, or entire modules. The short length of the swapped sequence stretch may facilitate straightforward exploitation of the wealth of existing NRPS modules for combinatorial biosynthesis
An Engineered Nonribosomal Peptide Synthetase Shows Opposite Amino Acid Loading and Condensation Specificity
Engineering of nonribosomal peptide
synthetases (NRPS) has faced numerous obstacles despite being an attractive
path towards novel bioactive molecules. Specificity filters in the nonribosomal
peptide assembly line determine engineering success, but the relative contribution
of adenylation (A-) and condensation (C-)domains is under debate. In the engineered,
bimodular NRPS sdV-GrsA/GrsB1, the first module is a subdomain-swapped chimera
showing substrate promiscuity. On sdV-GrsA and evolved mutants, we have employed
kinetic modelling to investigate product specificity under substrate
competition. Our model contains one step, in which the A-domain acylates the
thiolation (T-)domain, and one condensation step deacylating the T-domain. The
simplified model agrees well with experimentally determined acylation
preferences and shows that the condensation specificity is mismatched with the
engineered acylation specificity. Our model predicts changing product
specificity in the course of the reaction due to dynamic T-domain loading, and that
A-domain overrules C-domain specificity when T-domain loading reaches a
steady-state. Thus, we have established a tool for investigating poorly
accessible C-domain specificity through nonlinear kinetic modeling and gained critical
insights how the interplay of A- and C-domains determines the product
specificity of NRPSs.
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Emergence of a Negative Activation Heat Capacity during Evolution of a Designed Enzyme
Temperature influences the reaction kinetics and evolvability of all enzymes. To understand how evolution shapes the thermodynamic drivers of catalysis, we optimized the modest activity of a computationally designed enzyme for an elementary proton-transfer reaction by nearly 4 orders of magnitude over 9 rounds of mutagenesis and screening. As theorized for primordial enzymes, the catalytic effects of the original design were almost entirely enthalpic in origin, as were the rate enhancements achieved by laboratory evolution. However, the large reductions in Δ were partially offset by a decrease in Δ and unexpectedly accompanied by a negative activation heat capacity, signaling strong adaptation to the operating temperature. These findings echo reports of temperature-dependent activation parameters for highly evolved natural enzymes and are relevant to explanations of enzymatic catalysis and adaptation to changing thermal environments