Given its highly innovative character and potential socioeconomic impact, Synthetic Biology is often ranked among prominent research areas and national research priorities in developed countries. The global evolution of this field is proceeding by leaps and bounds but its development at the level of individual states varies widely. Despite their current satisfactory economic status, the majority of 13, mostly post-communist, countries that entered the European Union family in and after 2004 (EU13) have long overlooked the blossoming of Synthetic Biology. Their prioritized lines of research have been directed elsewhere or "Synthetic Biology" did not become a widely accepted term to encompass their bioengineering and biotechnology domains. The Czech Republic is not an exception. The local SynBio mycelium already exists but is mainly built bottom-up through the activities of several academic labs, iGEM teams, and spin-off companies. In this article, we tell their individual stories and summarize the prerequisites that allowed their emergence in the Czech academic and business environment. In addition, we provide the reader with a brief overview of laboratories, research hubs, and companies that perform biotechnology and bioengineering-oriented research and that may be included in a notional "shadow SynBio community" but have not yet adopted Synthetic Biology as a unifying term for their ventures. We also map the current hindrances for a broader expansion of Synthetic Biology in the Czech Republic and suggest possible steps that should lead to the maturity of this fascinating research field in our country.

• Keywords
• Biotechnology and bioengineering, Community, Czech Republic, EU13 countries, Public perception, Research landscape, Synthetic biology, iGEM,
• Publication type
• Journal Article MeSH

In our previous work, we designed and implemented a synthetic metabolic pathway for 1,2,3-trichloropropane (TCP) biodegradation in Escherichia coli. Significant effects of metabolic burden and toxicity exacerbation were observed on single cell and population levels. Deeper understanding of mechanisms underlying these effects is extremely important for metabolic engineering of efficient microbial cell factories for biotechnological processes. In this paper, we present a novel mathematical model of the pathway. The model addresses for the first time the combined effects of toxicity exacerbation and metabolic burden in the context of bacterial population growth. The model is calibrated with respect to the real data obtained with our original synthetically modified E. coli strain. Using the model, we explore the dynamics of the population growth along with the outcome of the TCP biodegradation pathway considering the toxicity exacerbation and metabolic burden. On the methodological side, we introduce a unique computational workflow utilising algorithmic methods of computer science for the particular modelling problem.

• Keywords
• biodegradation, computational modelling, environmental pollutants, metabolic burden, population growth,
• Publication type
• Journal Article MeSH

Optofluidics, a research discipline combining optics with microfluidics, currently aspires to revolutionize the analysis of biological and chemical samples, e.g., for medicine, pharmacology, or molecular biology. In order to detect low concentrations of analytes in water, we have developed an optofluidic device containing a nanostructured substrate for surface enhanced Raman spectroscopy (SERS). The geometry of the gold surface allows localized plasmon oscillations to give rise to the SERS effect, in which the Raman spectral lines are intensified by the interaction of the plasmonic field with the electrons in the molecular bonds. The SERS substrate was enclosed in a microfluidic system, which allowed transport and precise mixing of the analyzed fluids, while preventing contamination or abrasion of the highly sensitive substrate. To illustrate its practical use, we employed the device for quantitative detection of persistent environmental pollutant 1,2,3-trichloropropane in water in submillimolar concentrations. The developed sensor allows fast and simple quantification of halogenated compounds and it will contribute towards the environmental monitoring and enzymology experiments with engineered haloalkane dehalogenase enzymes.

• Keywords
• 1,2,3-trichloropropane, Klarite 312, chloroalkane, microfluidics, surface enhanced Raman spectroscopy,
• Publication type
• Journal Article MeSH

The computational prediction of unbinding rate constants is presently an emerging topic in drug design. However, the importance of predicting kinetic rates is not restricted to pharmaceutical applications. Many biotechnologically relevant enzymes have their efficiency limited by the binding of the substrates or the release of products. While aiming at improving the ability of our model enzyme haloalkane dehalogenase DhaA to degrade the persistent anthropogenic pollutant 1,2,3-trichloropropane (TCP), the DhaA31 mutant was discovered. This variant had a 32-fold improvement of the catalytic rate toward TCP, but the catalysis became rate-limited by the release of the 2,3-dichloropropan-1-ol (DCP) product from its buried active site. Here we present a computational study to estimate the unbinding rates of the products from DhaA and DhaA31. The metadynamics and adaptive sampling methods were used to predict the relative order of kinetic rates in the different systems, while the absolute values depended significantly on the conditions used (method, force field, and water model). Free energy calculations provided the energetic landscape of the unbinding process. A detailed analysis of the structural and energetic bottlenecks allowed the identification of the residues playing a key role during the release of DCP from DhaA31 via the main access tunnel. Some of these hot-spots could also be identified by the fast CaverDock tool for predicting the transport of ligands through tunnels. Targeting those hot-spots by mutagenesis should improve the unbinding rates of the DCP product and the overall catalytic efficiency with TCP.

• Keywords
• CaverDock, adaptive sampling, metadynamics, molecular dynamics, protein engineering, unbinding kinetics,
• Publication type
• Journal Article MeSH

BACKGROUND: Heterologous expression systems based on promoters inducible with isopropyl-β-D-1-thiogalactopyranoside (IPTG), e.g., Escherichia coli BL21(DE3) and cognate LacI(Q)/P(lacUV5)-T7 vectors, are commonly used for production of recombinant proteins and metabolic pathways. The applicability of such cell factories is limited by the complex physiological burden imposed by overexpression of the exogenous genes during a bioprocess. This burden originates from a combination of stresses that may include competition for the expression machinery, side-reactions due to the activity of the recombinant proteins, or the toxicity of their substrates, products and intermediates. However, the physiological impact of IPTG-induced conditional expression on the recombinant host under such harsh conditions is often overlooked. RESULTS: The physiological responses to IPTG of the E. coli BL21(DE3) strain and three different recombinants carrying a synthetic metabolic pathway for biodegradation of the toxic anthropogenic pollutant 1,2,3-trichloropropane (TCP) were investigated using plating, flow cytometry, and electron microscopy. Collected data revealed unexpected negative synergistic effect of inducer of the expression system and toxic substrate resulting in pronounced physiological stress. Replacing IPTG with the natural sugar effector lactose greatly reduced such stress, demonstrating that the effect was due to the original inducer's chemical properties. CONCLUSIONS: IPTG is not an innocuous inducer; instead, it exacerbates the toxicity of haloalkane substrate and causes appreciable damage to the E. coli BL21(DE3) host, which is already bearing a metabolic burden due to its content of plasmids carrying the genes of the synthetic metabolic pathway. The concentration of IPTG can be effectively tuned to mitigate this negative effect. Importantly, we show that induction with lactose, the natural inducer of P lac , dramatically lightens the burden without reducing the efficiency of the synthetic TCP degradation pathway. This suggests that lactose may be a better inducer than IPTG for the expression of heterologous pathways in E. coli BL21(DE3).

• MeSH
• Escherichia coli metabolism   MeSH
• Isopropyl Thiogalactoside adverse effects   genetics   MeSH
• Metabolic Engineering MeSH
• Metabolic Networks and Pathways genetics   MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Isopropyl Thiogalactoside MeSH

1,2,3-Trichloropropane (TCP) is a toxic compound that is recalcitrant to biodegradation in the environment. Attempts to isolate TCP-degrading organisms using enrichment cultivation have failed. A potential biodegradation pathway starts with hydrolytic dehalogenation to 2,3-dichloro-1-propanol (DCP), followed by oxidative metabolism. To obtain a practically applicable TCP-degrading organism, we introduced an engineered haloalkane dehalogenase with improved TCP degradation activity into the DCP-degrading bacterium Pseudomonas putida MC4. For this purpose, the dehalogenase gene (dhaA31) was cloned behind the constitutive dhlA promoter and was introduced into the genome of strain MC4 using a transposon delivery system. The transposon-located antibiotic resistance marker was subsequently removed using a resolvase step. Growth of the resulting engineered bacterium, P. putida MC4-5222, on TCP was indeed observed, and all organic chlorine was released as chloride. A packed-bed reactor with immobilized cells of strain MC4-5222 degraded >95% of influent TCP (0.33 mM) under continuous-flow conditions, with stoichiometric release of inorganic chloride. The results demonstrate the successful use of a laboratory-evolved dehalogenase and genetic engineering to produce an effective, plasmid-free, and stable whole-cell biocatalyst for the aerobic bioremediation of a recalcitrant chlorinated hydrocarbon.

• MeSH
• Biodegradation, Environmental MeSH
• Biotransformation MeSH
• Gene Expression MeSH
• Hydrolases genetics   metabolism   MeSH
• Environmental Pollutants metabolism   MeSH
• Metabolic Engineering * MeSH
• Metabolic Networks and Pathways genetics   MeSH
• Plasmids MeSH
• Propane analogs & derivatives   metabolism   MeSH
• Pseudomonas putida genetics   metabolism   MeSH
• Recombinant Proteins genetics   metabolism   MeSH
• Selection, Genetic MeSH
• DNA Transposable Elements MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• 1,2,3-trichloropropane MeSH Browser
• haloalkane dehalogenase MeSH Browser
• Hydrolases MeSH
• Environmental Pollutants MeSH
• Propane MeSH
• Recombinant Proteins MeSH
• DNA Transposable Elements MeSH