Role of Escherichia coli in Biofuel Production

Low-cost gelatin/collagen scaffolds for bacterial growth in bioreactors for biotechnology

A wide array of pharmaceutical and industrial products available in today's market stems from bioreactors. Meeting the escalating demand for these products necessitates significant enhancements in biotechnological processes. This study focuses on developing cost-effective scaffolds designed explicitly for use within bioreactors, employing commonly used polymers such as gelatin and collagen. Bacterial proliferation assays involving Escherichia coli, Staphylococcus aureus, and Pseudomonas aeruginosa were conducted to assess the effectiveness of these scaffolds. The scaffolds were produced by electrospinning polymeric solutions with varying concentrations of gelatin and collagen and were characterized using scanning electron microscopy, Fourier transform infrared spectroscopy, differential scanning calorimetry, and thermogravimetric analysis. Results revealed that scaffolds with 15% gelatin increased the 24-h proliferation of S. aureus, P. aeruginosa, and E. coli by 52%, 35%, and 20%, respectively. In the case of E. coli, scaffolds with lower gelatin concentrations (1-10%) were more effective, leading to 35-55% proliferation growth. These findings highlight the potential application of gelatin/collagen scaffolds in fabricating industrial products derived from these bacteria. KEY POINTS: • GEL/COL fibers boost S. aureus growth by 128% • Offers scalable biotech applications.

High Ectoine Production from Lignocellulosic Hydrolysate by Escherichia coli through Metabolic and Fermentation Engineering

Ectoine, a major compatible solute in halophilic micro-organisms, shows great potential in cosmetics and pharmaceuticals areas owing to its water-binding properties and capability to prevent oxidative damage. In this study, the ectABC gene cluster responsible for the ectoine synthesis originated from halophilic bacterium Halomonas venusta was first assembled into Escherichia coli. Subsequently, the crr gene in PTS was knocked out to further drive the metabolic flux from phosphoenolpyruvate to oxaloacetate, resulting in 1.27 g/L of ectoine. Then, the rate-limiting enzyme LysC in the ectoine synthesis pathway was identified and modified. The recombinant E. coli with the further overexpression of feedback-insensitive mutant EclysC* increased the ectoine titer to 2.51 g/L with a yield of 0.37 g/g in shake flasks. After the medium optimization including the carbon and nitrogen source, sodium chloride, and magnesium sulfate concentration, the ectoine titer was improved to 4.55 g/L. 115.15 g/L of ectoine with a yield of 0.23 g/g was obtained in the 5.0 L bioreactor through the optimization of substrate feeding and IPTG supplementation in the fed-batch fermentation. To achieve the cost-effective production of ectoine, lignocellulosic hydrolysate from wheat straw was adopted. 134.08 g/L of ectoine with a yield of 0.33 g/g sugar and a productivity of 3.7 g/L/h was finally produced, representing a relatively high level of ectoine production from renewable resources compared to other studies. This study provides valuable insights into a cost-effective and efficient method for industrial-scale ectoine production.

Computer-aided design and implementation of efficient biosynthetic pathways to produce high added-value products derived from tyrosine in Escherichia coli

Developing efficient bioprocesses requires selecting the best biosynthetic pathways, which can be challenging and time-consuming due to the vast amount of data available in databases and literature. The extension of the shikimate pathway for the biosynthesis of commercially attractive molecules often involves promiscuous enzymes or lacks well-established routes. To address these challenges, we developed a computational workflow integrating enumeration/retrosynthesis algorithms, a toolbox for pathway analysis, enzyme selection tools, and a gene discovery pipeline, supported by manual curation and literature review. Our focus has been on implementing biosynthetic pathways for tyrosine-derived compounds, specifically L-3,4-dihydroxyphenylalanine (L-DOPA) and dopamine, with significant applications in health and nutrition. We selected one pathway to produce L-DOPA and two different pathways for dopamine-one already described in the literature and a novel pathway. Our goal was either to identify the most suitable gene candidates for expression in Escherichia coli for the known pathways or to discover innovative pathways. Although not all implemented pathways resulted in the accumulation of target compounds, in our shake-flask experiments we achieved a maximum L-DOPA titer of 0.71 g/L and dopamine titers of 0.29 and 0.21 g/L for known and novel pathways, respectively. In the case of L-DOPA, we utilized, for the first time, a mutant version of tyrosinase from Ralstonia solanacearum. Production of dopamine via the known biosynthesis route was accomplished by coupling the L-DOPA pathway with the expression of DOPA decarboxylase from Pseudomonas putida, resulting in a unique biosynthetic pathway never reported in literature before. In the context of the novel pathway, dopamine was produced using tyramine as the intermediate compound. To achieve this, tyrosine was initially converted into tyramine by expressing TDC from Levilactobacillus brevis, which, in turn, was converted into dopamine through the action of the enzyme encoded by ppoMP from Mucuna pruriens. This marks the first time that an alternative biosynthetic pathway for dopamine has been validated in microbes. These findings underscore the effectiveness of our computational workflow in facilitating pathway enumeration and selection, offering the potential to uncover novel biosynthetic routes, thus paving the way for other target compounds of biotechnological interest.

The mechanistic insights into different aspects of promiscuity in metalloenzymes

Enzymes are nature's ultimate machinery to catalyze complex reactions. Though enzymes are evolved to catalyze specific reactions, they also show significant promiscuity in reactions and substrate selection. Metalloenzymes contain a metal ion or metal cofactor in their active site, which is crucial in their catalytic activity. Depending on the metal and its coordination environment, the metal ion or cofactor may function as a Lewis acid or base and a redox center and thus can catalyze a plethora of natural reactions. In fact, the versatility in the oxidation state of the metal ions provides metalloenzymes with a high level of catalytic adaptability and promiscuity. In this chapter, we discuss different aspects of promiscuity in metalloenzymes by using several recent experimental and theoretical works as case studies. We start our discussion by introducing the concept of promiscuity and then we delve into the mechanistic insight into promiscuity at the molecular level.

Harnessing genetic engineering to drive economic bioproduct production in algae

Our reliance on agriculture for sustenance, healthcare, and resources has been essential since the dawn of civilization. However, traditional agricultural practices are no longer adequate to meet the demands of a burgeoning population amidst climate-driven agricultural challenges. Microalgae emerge as a beacon of hope, offering a sustainable and renewable source of food, animal feed, and energy. Their rapid growth rates, adaptability to non-arable land and non-potable water, and diverse bioproduct range, encompassing biofuels and nutraceuticals, position them as a cornerstone of future resource management. Furthermore, microalgae's ability to capture carbon aligns with environmental conservation goals. While microalgae offers significant benefits, obstacles in cost-effective biomass production persist, which curtails broader application. This review examines microalgae compared to other host platforms, highlighting current innovative approaches aimed at overcoming existing barriers. These approaches include a range of techniques, from gene editing, synthetic promoters, and mutagenesis to selective breeding and metabolic engineering through transcription factors.

Arsenic Contamination of Groundwater Is Determined by Complex Interactions between Various Chemical and Biological Processes

At a great many locations worldwide, the safety of drinking water is not assured due to pollution with arsenic. Arsenic toxicity is a matter of both systems chemistry and systems biology: it is determined by complex and intertwined networks of chemical reactions in the inanimate environment, in microbes in that environment, and in the human body. We here review what is known about these networks and their interconnections. We then discuss how consideration of the systems aspects of arsenic levels in groundwater may open up new avenues towards the realization of safer drinking water. Along such avenues, both geochemical and microbiological conditions can optimize groundwater microbial ecology vis-à-vis reduced arsenic toxicity.

Escherichia coli displays a conserved membrane proteomic response to a range of alcohols

BACKGROUND

Alcohol is a good and environment-friendly fuel that can be microbially produced, capable of eliminating many of the limitations of the present-day fossil fuels. However, the inherent toxic nature of alcohols to the microbial cells leads to end-product inhibition that limits large-scale alcohol production by fermentation. Fundamental knowledge about the stress responses of microorganisms to alcohols would greatly facilitate to improve the microbial alcohol tolerance. The current study elucidates and compares the changes in the membrane proteome of Escherichia coli in response to a range of alcohols.

RESULTS

Although alcohol toxicity increased exponentially with alcohol chain length (2-6 carbon), similar stress responses were observed in the inner and outer membrane proteome of E. coli in the presence of 2-, 4- and 6-carbon alcohols at the MIC50. This pertains to: (1) increased levels of inner membrane transporters for uptake of energy-producing metabolites, (2) reduced levels of non-essential proteins, associated with anaerobic, carbon starvation and osmotic stress, for energy conservation, (3) increased levels of murein degrading enzymes (MltA, EmtA, MliC and DigH) promoting cell elongation and 4) reduced levels of most outer membrane β-barrel proteins (LptD, FadL, LamB, TolC and BamA). Major outer membrane β-barrel protein OmpC, which is known to contribute to ethanol tolerance and membrane integrity, was notably reduced by alcohol stress. While LPS is important for OmpC trimerisation, LPS release by EDTA did not lower OmpC levels. This suggests that LPS release, which is reported under alcohol stress, does not contribute to the reduced levels of OmpC in the presence of alcohol.

CONCLUSIONS

Since alcohol primarily targets the integrity of the membrane, maintenance of outer membrane OmpC levels in the presence of alcohol might help in the survival of E. coli to higher alcohol concentrations. The study provides important information about the membrane protein responses of E. coli to a range of alcohols, which can be used to develop targeted strategies for increased microbial alcohol tolerance and hence bioalcohol production.

An Approach for the Estimation of Concentrations of Soluble Compounds in E. coli Bioprocesses

Accurate estimations of the concentrations of soluble compounds are crucial for optimizing bioprocesses involving Escherichia coli (E. coli). This study proposes a hybrid model structure that leverages off-gas analysis data and physiological parameters, including the average biomass age and specific growth rate, to estimate soluble compounds such as acetate and glutamate in fed-batch cultivations We used a hybrid recurrent neural network to establish the relationships between these parameters. To enhance the precision of the estimates, the model incorporates ensemble averaging and information gain. Ensemble averaging combines varying model inputs, leading to more robust representations of the underlying dynamics in E. coli bioprocesses. Our hybrid model estimates acetates with 1% and 8% system precision using data from the first site and the second site at GSK plc, respectively. Using the data from the second site, the precision of the approach for other solutes was as fallows: isoleucine -8%, lactate and glutamate -9%, and a 13% error for glutamine., These results, demonstrate its practical potential.

Isolation and functional characterization of novel isoprene synthase from Artocarpus heterophyllus (jackfruit)

Isoprene, a Natural Volatile Organic Compound (NVOC) is one of the chief by-products of plant metabolism with important applications in the synthesis of rubber and pharmaceuticals as a platform molecule. Isoprene was obtained earlier from petroleum sources; however, to synthesise it new fermentation-based strategies are being adopted. Bioinformatics tools were utilised to isolate the Isoprene Synthase (IspS) gene which converts the precursors Isopentenyl Diphosphate (IPP) and Dimethylallyl Diphosphate (DMAPP) into isoprene. Metabolic engineering strategies were to synthesise an isoprene-producing recombinant clone derived from Artocarpus heterophyllus (jackfruit). The functional characterization was done using the overexpression of the isoprene synthase gene in an Escherichia coli BL21 host. The recombinant clone, ISPS_GBL_001 (submitted to GenBank, National Centre for Biotechnology Information or NCBI) was used for fermentation in the batch and fed-batch mode to produce isoprene. Isoprene productivity of 0.08 g/g dextrose was obtained via the fed-batch mode maintaining the process parameters at optimum. The quantification and confirmation of isoprene was done using gas chromatography (GC) and GC-mass spectrometry (GC-MS) of the extracted sample, respectively. This study makes significant contribution to the ongoing research on bio-isoprene synthesis by highlighting a novel plant source of the IspS gene followed by, its successful expression in a recombinant host, validated by fermentation.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-022-03441-7.

Microalgae cultivation strategies using cost-effective nutrient sources: Recent updates and progress towards biofuel production

Scientists are grabbing huge attention as well as consciousness on non-renewable energy sources for the global energy crises because of gradual increase in oil price, fast depletion or low availability of resources, and the release of more toxic-gases (CO₂, SO_x, N_xO) during exhaustion, etc. Due to such hitches, the key need is to find alternative biofuels or feedstocks to replace fossil fuel energy demands worldwide. Currently, microalgae have become intrigued feedstock candidates (3rd generation source of biofuel) to replace nearly 50-60 % of fossil fuels due to high production of biomass and oil, mitigating CO₂ and wastewater remediation. The present work demonstrated the current developments and future perspectives on large-scale algal cultivation strategies for the biorefinery economy. In addition, various advanced cultivation techniques adopted for enhanced biomass production and cost-effective methods for bioenergy production were detailly discussed.

Microorganisms as New Sources of Energy

The use of fossil energy sources has a negative impact on the economic and socio-political stability of specific regions and countries, causing environmental changes due to the emission of greenhouse gases. Moreover, the stocks of mineral energy are limited, causing the demand for new types and forms of energy. Biomass is a renewable energy source and represents an alternative to fossil energy sources. Microorganisms produce energy from the substrate and biomass, i.e., from substances in the microenvironment, to maintain their metabolism and life. However, specialized microorganisms also produce specific metabolites under almost abiotic circumstances that often do not have the immediate task of sustaining their own lives. This paper presents the action of biogenic and biogenic–thermogenic microorganisms, which produce methane, alcohols, lipids, triglycerides, and hydrogen, thus often creating renewable energy from waste biomass. Furthermore, some microorganisms acquire new or improved properties through genetic interventions for producing significant amounts of energy. In this way, they clean the environment and can consume greenhouse gases. Particularly suitable are blue-green algae or cyanobacteria but also some otherwise pathogenic microorganisms (E. coli, Klebsiella, and others), as well as many other specialized microorganisms that show an incredible ability to adapt. Microorganisms can change the current paradigm, energy–environment, and open up countless opportunities for producing new energy sources, especially hydrogen, which is an ideal energy source for all systems (biological, physical, technological). Developing such energy production technologies can significantly change the already achieved critical level of greenhouse gases that significantly affect the climate.

Elimination of GlnKAmtB affects serine biosynthesis and improves growth and stress tolerance of Escherichia coli under nutrient-rich conditions

Nitrogen is a most important nutrient resource for Escherichia coli and other bacteria that harbor the glnKamtB operon, a high-affinity ammonium uptake system highly interconnected with cellular metabolism. Although this system confers an advantage to bacteria when growing under nitrogen-limiting conditions, little is known about the impact of these genes on microbial fitness under nutrient-rich conditions. Here, the genetically tractable E. coli BW25113 strain and its glnKamtB-null mutant (JW0441) were used to analyze the impact of GlnK-AmtB on growth rates and oxidative stress tolerance. Strain JW0441 showed a shorter initial lag phase, higher growth rate, higher citrate synthase activity, higher oxidative stress tolerance and lower expression of serA than strain BW25113 under nutrient-rich conditions, suggesting a fitness cost to increase metabolic plasticity associated with serine metabolism. The overexpression of serA in strain JW0441 resulted in a decreased growth rate and stress tolerance in nutrient-rich conditions similar to that of strain BW25113, suggesting that the negative influence on bacterial fitness imposed by GlnK-AmtB can be traced to the control of serine biosynthesis. Finally, we discuss the potential applications of glnKamtB mutants in bioproduction processes.

Consolidated Bioprocessing: Synthetic Biology Routes to Fuels and Fine Chemicals

The long road from emerging biotechnologies to commercial “green” biosynthetic routes for chemical production relies in part on efficient microbial use of sustainable and renewable waste biomass feedstocks. One solution is to apply the consolidated bioprocessing approach, whereby microorganisms convert lignocellulose waste into advanced fuels and other chemicals. As lignocellulose is a highly complex network of polymers, enzymatic degradation or “saccharification” requires a range of cellulolytic enzymes acting synergistically to release the abundant sugars contained within. Complications arise from the need for extracellular localisation of cellulolytic enzymes, whether they be free or cell-associated. This review highlights the current progress in the consolidated bioprocessing approach, whereby microbial chassis are engineered to grow on lignocellulose as sole carbon sources whilst generating commercially useful chemicals. Future perspectives in the emerging biofoundry approach with bacterial hosts are discussed, where solutions to existing bottlenecks could potentially be overcome though the application of high throughput and iterative Design-Build-Test-Learn methodologies. These rapid automated pathway building infrastructures could be adapted for addressing the challenges of increasing cellulolytic capabilities of microorganisms to commercially viable levels.

Robotics for enzyme technology: innovations and technological perspectives

The use of robotics in the life science sector has created a considerable and significant impact on a wide range of research areas, including enzyme technology due to their immense applications in enzyme and microbial engineering as an indispensable tool in high-throughput screening applications. Scientists are experiencing the advanced applications of various biological robots (nanobots), fabricated based on bottom-up or top-down approaches for making nanotechnology scaffolds. Nanobots and enzyme-powered nanomotors are particularly attractive because they are self-propelled vehicles, which consume biocompatible fuels. These smart nanostructures are widely used as drug delivery systems for the efficient treatment of various diseases. This review gives insights into the escalating necessity of robotics and nanobots and their ever-widening applications in enzyme technology, including biofuel production and biomedical applications. It also offers brief insights into high-throughput robotic platforms that are currently being used in enzyme screening applications for monitoring and control of microbial growth conditions. KEY POINTS: • Robotics and their applications in biotechnology are highlighted. • Robotics for high-throughput enzyme screening and microbial engineering are described. • Nanobots and enzyme-powered nanomotors as controllable drug delivery systems are reviewed.

Metabolism

Metabolism consists of a series of reactions that occur within cells of living organisms to sustain life. The process of metabolism involves many interconnected cellular pathways to ultimately provide cells with the energy required to carry out their function. The importance and the evolutionary advantage of these pathways can be seen as many remain unchanged by animals, plants, fungi, and bacteria. In eukaryotes, the metabolic pathways occur within the cytosol and mitochondria of cells with the utilisation of glucose or fatty acids providing the majority of cellular energy in animals. Metabolism is organised into distinct metabolic pathways to either maximise the capture of energy or minimise its use. Metabolism can be split into a series of chemical reactions that comprise both the synthesis and degradation of complex macromolecules known as anabolism or catabolism, respectively. The basic principles of energy consumption and production are discussed, alongside the biochemical pathways that make up fundamental metabolic processes for life.

Microbial biotechnological approaches: renewable bioprocessing for the future energy systems

The accelerating energy demands of the increasing global population and industrialization has become a matter of great concern all over the globe. In the present scenario, the world is witnessing a considerably huge energy crisis owing to the limited availability of conventional energy resources and rapid depletion of non-renewable fossil fuels. Therefore, there is a dire need to explore the alternative renewable fuels that can fulfil the energy requirements of the growing population and overcome the intimidating environmental issues like greenhouse gas emissions, global warming, air pollution etc. The use of microorganisms such as bacteria has captured significant interest in the recent era for the conversion of the chemical energy reserved in organic compounds into electrical energy. The versatility of the microorganisms to generate renewable energy fuels from multifarious biological and biomass substrates can abate these ominous concerns to a great extent. For instance, most of the microorganisms can easily transform the carbohydrates into alcohol. Establishing the microbial fuel technology as an alternative source for the generation of renewable energy sources can be a state of art technology owing to its reliability, high efficiency, cleanliness and production of minimally toxic or inclusively non-toxic byproducts. This review paper aims to highlight the key points and techniques used for the employment of bacteria to generate, biofuels and bioenergy, and their foremost benefits.

Increasing Solvent Tolerance to Improve Microbial Production of Alcohols, Terpenoids and Aromatics

Fuels and polymer precursors are widely used in daily life and in many industrial processes. Although these compounds are mainly derived from petrol, bacteria and yeast can produce them in an environment-friendly way. However, these molecules exhibit toxic solvent properties and reduce cell viability of the microbial producer which inevitably impedes high product titers. Hence, studying how product accumulation affects microbes and understanding how microbial adaptive responses counteract these harmful defects helps to maximize yields. Here, we specifically focus on the mode of toxicity of industry-relevant alcohols, terpenoids and aromatics and the associated stress-response mechanisms, encountered in several relevant bacterial and yeast producers. In practice, integrating heterologous defense mechanisms, overexpressing native stress responses or triggering multiple protection pathways by modifying the transcription machinery or small RNAs (sRNAs) are suitable strategies to improve solvent tolerance. Therefore, tolerance engineering, in combination with metabolic pathway optimization, shows high potential in developing superior microbial producers.

Metabolic engineering strategies for butanol production in Escherichia coli

The global market of butanol is increasing due to its growing applications as solvent, flavoring agent, and chemical precursor of several other compounds. Recently, the superior properties of n-butanol as a biofuel over ethanol have stimulated even more interest. (Bio)butanol is natively produced together with ethanol and acetone by Clostridium species through acetone-butanol-ethanol fermentation, at noncompetitive, low titers compared to petrochemical production. Different butanol production pathways have been expressed in Escherichia coli, a more accessible host compared to Clostridium species, to improve butanol titers and rates. The bioproduction of butanol is here reviewed from a historical and theoretical perspective. All tested rational metabolic engineering strategies in E. coli to increase butanol titers are reviewed: manipulation of central carbon metabolism, elimination of competing pathways, cofactor balancing, development of new pathways, expression of homologous enzymes, consumption of different substrates, and molecular biology strategies. The progress in the field of metabolic modeling and pathway generation algorithms and their potential application to butanol production are also summarized here. The main goals are to gather all the strategies, evaluate the respective progress obtained, identify, and exploit the outstanding challenges.

The isc gene cluster expression ethanol tolerance associated improves its ethanol production by organic acids flux redirection in the ethanologenic Escherichia coli KO11 strain

Fossil fuels consumption impacts the greenhouse gas emissions. Biofuels are considered as alternative renewable energy sources to reduce the fossil fuels dependency. Bioethanol produced by recombinant microorganisms is a widely suggested alternative to increase the yield in fermentation processes. However, ethanol and acetate accumulation under the fermentation process had been described as important stressors for the metabolic capabilities of the microorganisms, stopping the fermentation process and affecting the ethanol yield. Ethanol tolerance is a determining factor in the improvement of fermentative properties of microorganisms; however understanding of ethanol tolerance is limited. The engineered Escherichia coli KO11 strain has been studied in detail and used as an ethanologenic bacteria model. The strain is capable of using glucose and xylose for an efficient ethanol yield. In the current work, the effect of the iron-sulfur cluster (ISC) over-expression in the KO11 strain, on its tolerance and ethanol yield, was evaluated. Fatty acids profiles of membrane phospholipids in the E. coli KO11 were modified under ethanol addition, but not due to the hscA mutation. The hscA mutation provoked a decrease in ethanol tolerance in the Kmp strain when was grown with 2% ethanol, in comparison to KO11 parent strain. Ethanol tolerance was improved in the mutant Kmp complemented with the recombinant isc gene cluster (pJC10 plasmid) from LD₅₀ 2.16% to LD₅₀ 3.8% ethanol. In batch fermentation on 1 L bioreactor using mineral medium with glucose (120 g/L), the KO11 strain showed ethanol production efficiencies of ~ 76.9%, while the hscA mutant (Kmp) ~ 75.4% and the transformed strain Kmp(pJC10) showed ~ 92.4% efficiency. Ethanol amount increase in the engineered Kmp(pJC10) strain was correlated with less organic acids (such as acetate and lactate) production in the fermentation medium (2.3 g/L), compared to that in the KO11 (17.05 g/L) and the Kmp (16.62 g/L). Alcohol dehydrogenase (ADH) activity was increased ~ 350% in the transformed Kmp(pJC10) strain, whereas in the Kmp mutant, the phosphoglycerate kinase (PGK), pyruvate kinase (PYK), and ADH activities were diminished, comparing to KO11. The results suggest that the isc system over-expression in the ethanologenic E. coli KO11 strain, increases ethanol yield mainly by improving ethanol tolerance and ADH activity, and by redirecting the metabolic flux from acetate synthesis to ethanol.

Engineering Streptomyces coelicolor for production of monomethyl branched chain fatty acids

Branched chain fatty acids (BCFA) are an appealing biorefinery-driven target of fatty acid (FA) production. BCFAs typically have lower melting points compared to straight chain FAs, making them useful in lubricants and biofuels. Actinobacteria, especially Streptomyces species, have unique secondary metabolism that are capable of producing not only antibiotics, but also high percentage of BCFAs in their membrane lipids. Since biosynthesis of polyketide (PK) and FA partially share common pathways to generate acyl-CoA precursors, in theory, Streptomyces sp. with high levels of PK antibiotics production can be easily manipulated into strains producing high levels of BCFAs. To increase the percentage of the BCFA moieties in lipids, we redirected acyl-CoA precursor fluxes from PK into BCFAs using S. coelicolor M1146 (M1146) as a host strain. In addition, 3-ketoacyl acyl carrier protein synthase III and branched chain α-keto acid dehydrogenase were overexpressed to push fluxes of branched chain acyl-CoA precursors towards FA synthesis. The maximum titer of 354.1 mg/L BCFAs, 90.3% of the total FA moieties, was achieved using M1146_dD-B, fadD deletion and bkdABC overexpression mutant of M1146 strain. Cell specific yield of 64.4 mg/L/g_cell was also achieved. The production titer and specific yield are the highest ever reported in bacterial cells, which provides useful insights to develop an efficient host strain for BCFAs.

Discovery and implementation of a novel pathway for n-butanol production via 2-oxoglutarate

BACKGROUND

One of the European Union directives indicates that 10% of all fuels must be bio-synthesized by 2020. In this regard, biobutanol-natively produced by clostridial strains-poses as a promising alternative biofuel. One possible approach to overcome the difficulties of the industrial exploration of the native producers is the expression of more suitable pathways in robust microorganisms such as Escherichia coli. The enumeration of novel pathways is a powerful tool, allowing to identify non-obvious combinations of enzymes to produce a target compound.

RESULTS

This work describes the in silico driven design of E. coli strains able to produce butanol via 2-oxoglutarate by a novel pathway. This butanol pathway was generated by a hypergraph algorithm and selected from an initial set of 105,954 different routes by successively applying different filters, such as stoichiometric feasibility, size and novelty. The implementation of this pathway involved seven catalytic steps and required the insertion of nine heterologous genes from various sources in E. coli distributed in three plasmids. Expressing butanol genes in E. coli K12 and cultivation in High-Density Medium formulation seem to favor butanol accumulation via the 2-oxoglutarate pathway. The maximum butanol titer obtained was 85 ± 1 mg L-1 by cultivating the cells in bioreactors.

CONCLUSIONS

In this work, we were able to successfully translate the computational analysis into in vivo applications, designing novel strains of E. coli able to produce n-butanol via an innovative pathway. Our results demonstrate that enumeration algorithms can broad the spectrum of butanol producing pathways. This validation encourages further research to other target compounds.

Engineered E. coli W enables efficient 2,3-butanediol production from glucose and sugar beet molasses using defined minimal medium as economic basis

Background

Efficient microbial production of chemicals is often hindered by the cytotoxicity of the products or by the pathogenicity of the host strains. Hence 2,3-butanediol, an important drop-in chemical, is an interesting alternative target molecule for microbial synthesis since it is non-cytotoxic. Metabolic engineering of non-pathogenic and industrially relevant microorganisms, such as Escherichia coli, have already yielded in promising 2,3-butanediol titers showing the potential of microbial synthesis of 2,3-butanediol. However, current microbial 2,3-butanediol production processes often rely on yeast extract as expensive additive, rendering these processes infeasible for industrial production.

Results

The aim of this study was to develop an efficient 2,3-butanediol production process with E. coli operating on the premise of using cost-effective medium without complex supplements, considering second generation feedstocks. Different gene donors and promoter fine-tuning allowed for construction of a potent E. coli strain for the production of 2,3-butanediol as important drop-in chemical. Pulsed fed-batch cultivations of E. coli W using microaerobic conditions showed high diol productivity of 4.5 g l⁻¹ h⁻¹. Optimizing oxygen supply and elimination of acetoin and by-product formation improved the 2,3-butanediol titer to 68 g l⁻¹, 76% of the theoretical maximum yield, however, at the expense of productivity. Sugar beet molasses was tested as a potential substrate for industrial production of chemicals. Pulsed fed-batch cultivations produced 56 g l⁻¹ 2,3-butanediol, underlining the great potential of E. coli W as production organism for high value-added chemicals.

Conclusion

A potent 2,3-butanediol producing E. coli strain was generated by considering promoter fine-tuning to balance cell fitness and production capacity. For the first time, 2,3-butanediol production was achieved with promising titer, rate and yield and no acetoin formation from glucose in pulsed fed-batch cultivations using chemically defined medium without complex hydrolysates. Furthermore, versatility of E. coli W as production host was demonstrated by efficiently converting sucrose from sugar beet molasses into 2,3-butanediol.

Electronic supplementary material

The online version of this article (10.1186/s12934-018-1038-0) contains supplementary material, which is available to authorized users.

Understanding and engineering alcohol-tolerant bacteria using OMICS technology

Microbes are capable of producing alcohols, making them an important source of alternative energy that can replace fossil fuels. However, these alcohols can be toxic to the microbes themselves, retaring or inhibiting cell growth and decreasing the production yield. One solution is improving the alcohol tolerance of such alcohol-producing organisms. Advances in omics technologies, including transcriptomic, proteomic, metabolomic, and genomic technologies, have helped us understand the complex mechanisms underlying alcohol toxicity, and such advances could assist in devising strategies for engineering alcohol-tolerant strains. This review highlights these advances and discusses strategies for improving alcohol tolerance using omics analyses.

Checkpoint immunotherapy by nivolumab for treatment of metastatic melanoma

Clinical management of metastatic melanoma suffered historically from a lack of effective targeted and immunotherapies due to short-lived clinical responses. Recent advances in our understanding of tumor-immune signaling pathways, discovery of immunosuppressive checkpoints, and subsequent development of antibodies that target these checkpoints reverses the situation to some extent. Two antibodies ipilimumab and nivolumab gained Food and Drug administration approval for the treatment of metastatic melanoma and target two major immunosuppressive checkpoints cytotoxic T lymphocyte antigen and programmed cell death protein 1 (PD-1), respectively. Nivolumab binds to PD-1, prevents PD-1 interaction with ligand Programmed death ligand 1 (PD-L1), and thus releases the T-cell exhaustion events (such as T cell apoptosis, decrease in T cell proliferation, etc.) leading to buildup of potent tumor-specific immune response. Successful Phase I-III results with remarkable antitumor activity and safety led to approval of nivolumab against ipilimumab refractory metastatic melanoma. Nivolumab therapy is exciting in that it not only provides substantial benefit but also provides durable responses. This review focuses on the evolution of immunotherapy leading to nivolumab approval and its potential in treating melanoma either alone or in combination with other therapies.

Sortase A-Assisted Metabolic Enzyme Ligation in Escherichia coli for Enhancing Metabolic Flux

Metabolic engineering has been an important approach for microbial bio-production. To produce bio-chemicals with engineered microorganisms, metabolic pathways have been edited using several common strategies, including gene disruption, gene overexpression, and gene attenuation. Here, we demonstrated metabolic channeling based on enzymatic metabolic enzyme ligation as a noteworthy approach for enhancing a desired metabolic flux. To achieve metabolic channeling , the metabolic enzymes should be in close proximity in cells. In the literature, several methodologies have been recently applied to achieve metabolic channeling . Meanwhile, we have proposed a strategy for possessing metabolic enzymes in close proximity, by utilizing sortase A as a stapler to tether such enzymes in Escherichia coli. By tethering metabolic enzymes that catalyze the reactions before and after a target metabolite, the metabolic flux may be enhanced. This chapter describes the approach for enhancing acetate-producing flux by sortase-A-assisted metabolic ligation in E. coli.

Retooling microorganisms for the fermentative production of alcohols

Bioengineering and synthetic biology approaches have revolutionised the field of biotechnology, enabling the introduction of non-native and de novo pathways for biofuels production. This 'retooling' of microorganisms is also applied to the utilisation of mixed carbon components derived from lignocellulosic biomass, a major technical barrier for the development of economically viable fermentations. This review will discuss recent advances in microorganism engineering for efficient production of alcohols from waste biomass. These advances span the introduction of new pathways to alcohols, host modifications for more cost-effective utilisation of lignocellulosic waste and modifications of existing pathways for generating new fuel additives.

Decoding of O-Linked Glycosylation by Mass Spectrometry

Protein glycosylation (N- and O-linked) plays an important role in many biological processes, including protein structure and function. However, the structural elucidation of glycans, specifically O-linked glycans, remains a major challenge and is often overlooked during protein analysis. Recently, mass spectrometry (MS) has matured as a powerful technology for high-quality analytical characterization of O-linked glycans. This review summarizes the recent developments and insights of MS-based glycomics technologies, with a focus on mucin-type O-glycan analysis. Three main MS-based approaches are outlined: O-glycan profiling (structural analysis of released O-glycan), a "bottom-up" approach (analysis of an O-glycan covalently attached to a glycopeptide), and a "top-down" approach (analysis of a glycan attached to an intact glycoprotein). In addition, the most widely used MS ionization techniques, i.e., matrix-assisted laser desorption ionization and electrospray ionization, as well as ion activation techniques like collision-induced dissociation, electron capture dissociation, and electron transfer dissociation during O-glycan analysis are discussed. The MS technical approaches mentioned above are already major improvements for studying O-linked glycosylation and appear to be valuable for in-depth analysis of the type of O-glycan attached, branching patterns, and the occupancy of O-glycosylation sites.