Ángel Sevilla

Role of central metabolism in the osmoadaptation of the halophilic bacterium Chromohalobacter salexigens

Background: Chromohalobacter salexigens synthesizes and accumulates ectoines. Results: High ratio of the anaplerotic and catabolic fluxes involved in ectoines synthesis supports high biosynthetic fluxes at high salinity and leads to metabolite overflow at low salinity. Conclusion: Evolution optimized the metabolism of C. salexigens to support high production of ectoines. Significance: Metabolic adaptations in a compatible solute-accumulating halophile are described for the first time. Bacterial osmoadaptation involves the cytoplasmic accumulation of compatible solutes to counteract extracellular osmolarity. The halophilic and highly halotolerant bacterium Chromohalobacter salexigens is able to grow up to 3 m NaCl in a minimal medium due to the de novo synthesis of ectoines. This is an osmoregulated pathway that burdens central metabolic routes by quantitatively drawing off TCA cycle intermediaries. Consequently, metabolism in C. salexigens has adapted to support this biosynthetic route. Metabolism of C. salexigens is more efficient at high salinity than at low salinity, as reflected by lower glucose consumption, lower metabolite overflow, and higher biomass yield. At low salinity, by-products (mainly gluconate, pyruvate, and acetate) accumulate extracellularly. Using [1-13C]-, [2-13C]-, [6-13C]-, and [U-13C6]glucose as carbon sources, we were able to determine the main central metabolic pathways involved in ectoines biosynthesis from glucose. C. salexigens uses the Entner-Doudoroff pathway rather than the standard glycolytic pathway for glucose catabolism, and anaplerotic activity is high to replenish the TCA cycle with the intermediaries withdrawn for ectoines biosynthesis. Metabolic flux ratios at low and high salinity were similar, revealing a certain metabolic rigidity, probably due to its specialization to support high biosynthetic fluxes and partially explaining why metabolic yields are so highly affected by salinity. This work represents an important contribution to the elucidation of specific metabolic adaptations in compatible solute-accumulating halophilic bacteria.

Lipid biomarkers and metabolic effects of lycopene from tomato juice on liver of rats with induced hepatic steatosis

Nonalcoholic fatty liver disease (NAFLD) is one of the most common liver disorders, covering steatosis to nonalcoholic steatohepatitis (NASH). Dietary factors may modulate its evolution, and antioxidants have been proposed as therapeutic agents. Among them, lycopene has been demonstrated to prevent the development of steatohepatitis and even to inhibit NASH-promoted early hepatocarcinogenesis induced by a high-fat diet in rats. These conclusions have been related to its antioxidant activity; however, NAFLD is more complex than a simple redox imbalance state since it disturbs several metabolic systems in the liver. In consequence, there is a lack of information related to the action of lycopene beyond antioxidant biomarkers. In this work, NAFLD was induced in rats using a hypercholesterolemic and high-fat diet to evaluate the effect of lycopene consumption from tomato juice on liver metabolism. Several classical antioxidant biomarkers related to NAFLD were measured to check the state of this disease after 7 weeks of the controlled diet. Moreover, a metabolomics platform was applied to measure more than 70 metabolites. Results showed clear differences in the classical antioxidant biomarkers as well as in the metabolic pattern, attending not only to the diet but also to the intake of lycopene from tomato juice. Interestingly, tomato juice administration partially reverted the metabolic pattern from a high-fat diet to a normal diet even in metabolites not related to the redox state, which could lead to new targets for therapeutic agents against NAFLD and to achieving a better understanding of the role of lycopene in liver metabolism.

Production of L-carnitine by secondary metabolism of bacteria

The increasing commercial demand for L-carnitine has led to a multiplication of efforts to improve its production with bacteria. The use of different cell environments, such as growing, resting, permeabilized, dried, osmotically stressed, freely suspended and immobilized cells, to maintain enzymes sufficiently active for L-carnitine production is discussed in the text. The different cell states of enterobacteria, such as Escherichia coli and Proteus sp., which can be used to produce L-carnitine from crotonobetaine or D-carnitine as substrate, are analyzed. Moreover, the combined application of both bioprocess and metabolic engineering has allowed a deeper understanding of the main factors controlling the production process, such as energy depletion and the alteration of the acetyl-CoA/CoA ratio which are coupled to the end of the biotransformation. Furthermore, the profiles of key central metabolic activities such as the TCA cycle, the glyoxylate shunt and the acetate metabolism are seen to be closely interrelated and affect the biotransformation efficiency. Although genetically modified strains have been obtained, new strain improvement strategies are still needed, especially in Escherichia coli as a model organism for molecular biology studies. This review aims to summarize and update the state of the art in L-carnitine production using E. coli and Proteus sp, emphasizing the importance of proper reactor design and operation strategies, together with metabolic engineering aspects and the need for feed-back between wet and in silico work to optimize this biotransformation.

Design of Metabolic Engineering Strategies for Maximizing l-(–)-Carnitine Production by Escherichia coli. Integration of the Metabolic and Bioreactor Levels

In this work metabolic engineering strategies for maximizing l‐(–)‐carnitine production by Escherichia coli based on the Biochemical System Theory ( 1– 3 ) and the Indirect Optimization Method are presented ( 4 ). The model integrates the metabolic and the bioreactor levels using power‐law formalism. Based on the S‐system model, the Indirect Optimization Method was applied, leading to profiles of parameter values that are compatible with both the physiology of the cells and the bioreactor system operating conditions. This guarantees their viability and fitness and yields higher rates of l‐(–)‐carnitine production. Experimental results using a high cell density reactor were compared with optimized predictions from the Indirect Optimization Method. When two parameters (the dilution rate and the initial crotonobetaine concentration) were directly changed in the real experimental system to the prescribed optimum values, the system showed better performance in l‐(–)‐carnitine production (74% increase in production rate), in close agreement with the modelapos;s predictions. The model shows control points at macroscopic (reactor operation) and microscopic (molecular) levels where conversion and productivity can be increased. In accordance with the optimized solution, the next logical step to improve the l‐(–)‐carnitine production rate will involve metabolic engineering of the E. coli strain by overexpressing the carnitine transferase, CaiB, activity and the protein carrier, CaiT, responsible for substrate and product transport in and out of the cell. By this means it is predicted production may be enhanced by up to three times the original value.

Metabolic profiling of insect cell lines: Unveiling cell line determinants behind system's productivity.

Baculovirus infection boosts the host biosynthetic activity towards the production of viral components and the recombinant protein of interest, hyper‐productive phenotypes being the result of a successful adaptation of the cellular network to that scenario. Spodoptera frugiperda derived Sf9 and Trichoplusia ni derived High Five cell lines have a major track record for the production of recombinant proteins, with High Five cells presenting higher productivities. A metabolic profiling of the two insect cell lines was pursued to underpin specific cellular traits behind productive phenotypes. Multivariate analysis identified cell‐line dependent metabolic signatures linked to productivity. Pathway analysis highlighted cellular pathways of paramount importance in supporting infection and protein production. Moreover, better producer phenotypes proved to be correlated with the capacity of cells to shift their metabolism in favor of energy‐generating pathways to fuel biosynthesis, a scenario observed in the High Five cell line. Metabolomic profiling allowed us to identify metabolic pathways involved in infection and recombinant protein production, which can be selected as targets for further improvement of the system. Biotechnol. Bioeng. 2014;111: 816–828.

EasyLCMS: an asynchronous web application for the automated quantification of LC-MS data

BackgroundDownstream applications in metabolomics, as well as mathematical modelling, require data in a quantitative format, which may also necessitate the automated and simultaneous quantification of numerous metabolites. Although numerous applications have been previously developed for metabolomics data handling, automated calibration and calculation of the concentrations in terms of μmol have not been carried out. Moreover, most of the metabolomics applications are designed for GC-MS, and would not be suitable for LC-MS, since in LC, the deviation in the retention time is not linear, which is not taken into account in these applications. Moreover, only a few are web-based applications, which could improve stand-alone software in terms of compatibility, sharing capabilities and hardware requirements, even though a strong bandwidth is required. Furthermore, none of these incorporate asynchronous communication to allow real-time interaction with pre-processed results.FindingsHere, we present EasyLCMS (http://www.easylcms.es/), a new application for automated quantification which was validated using more than 1000 concentration comparisons in real samples with manual operation. The results showed that only 1% of the quantifications presented a relative error higher than 15%. Using clustering analysis, the metabolites with the highest relative error distributions were identified and studied to solve recurrent mistakes.ConclusionsEasyLCMS is a new web application designed to quantify numerous metabolites, simultaneously integrating LC distortions and asynchronous web technology to present a visual interface with dynamic interaction which allows checking and correction of LC-MS raw data pre-processing results. Moreover, quantified data obtained with EasyLCMS are fully compatible with numerous downstream applications, as well as for mathematical modelling in the systems biology field.

Systematic Production of Inactivating and Non-Inactivating Suppressor Mutations at the relA Locus That Compensate the Detrimental Effects of Complete spoT Loss and Affect Glycogen Content in Escherichia coli

In Escherichia coli, ppGpp is a major determinant of growth and glycogen accumulation. Levels of this signaling nucleotide are controlled by the balanced activities of the ppGpp RelA synthetase and the dual-function hydrolase/synthetase SpoT. Here we report the construction of spoT null (ΔspoT) mutants obtained by transducing a ΔspoT allele from ΔrelAΔspoT double mutants into relA+ cells. Iodine staining of randomly selected transductants cultured on a rich complex medium revealed differences in glycogen content among them. Sequence and biochemical analyses of 8 ΔspoT clones displaying glycogen-deficient phenotypes revealed different inactivating mutations in relA and no detectable ppGpp when cells were cultured on a rich complex medium. Remarkably, although the co-existence of ΔspoT with relA proficient alleles has generally been considered synthetically lethal, we found that 11 ΔspoT clones displaying high glycogen phenotypes possessed relA mutant alleles with non-inactivating mutations that encoded stable RelA proteins and ppGpp contents reaching 45–85% of those of wild type cells. None of the ΔspoT clones, however, could grow on M9-glucose minimal medium. Both Sanger sequencing of specific genes and high-throughput genome sequencing of the ΔspoT clones revealed that suppressor mutations were restricted to the relA locus. The overall results (a) defined in around 4 nmoles ppGpp/g dry weight the threshold cellular levels that suffice to trigger net glycogen accumulation, (b) showed that mutations in relA, but not necessarily inactivating mutations, can be selected to compensate total SpoT function(s) loss, and (c) provided useful tools for studies of the in vivo regulation of E. coli RelA ppGpp synthetase.

Impairing and Monitoring Glucose Catabolite Repression in l‐Carnitine Biosynthesis

Signal transduction pathways are usually avoided when optimizing a biotransformation process because they require complex mathematical formulations. The aim of this work was to use a Systems Biology approach to optimize and monitor the biotransformation of l‐carnitine using signal transduction pathways. To this end, a dynamic model was constructed, integrating the metabolic pathways of l‐carnitine biosynthesis as well as the expression of this metabolism by means of its regulation by transcription factors such as cAMP‐CRP and CaiF. The model was validated using different C‐sources as well as different reactor feeding approaches. A linear relationship between the external cellular cAMP and the l‐carnitine production levels was predicted before being experimentally confirmed in several scenarios. Moreover, results of the model simulations and subsequent experimental findings demonstrated that the addition of exogenous cAMP was able to restore the l‐carnitine production when glucose was used as C‐source. Additionally, a way to monitor the l‐carnitine biosynthesis by using the level of cAMP as a marker of the biotransformation state was in silico and experimentally demonstrated.

The drought-tolerant Solanum pennellii regulates leaf water loss and induces genes involved in amino acid and ethylene/jasmonate metabolism under dehydration

Breeding for drought-tolerant crops is a pressing issue due to the increasing frequency and duration of droughts caused by climate change. Although important sources of variation for drought tolerance exist in wild relatives, the mechanisms and the key genes controlling tolerance in tomato are little known. The aim of this study is to determine the drought response of the tomato wild relative Solanum pennellii (Sp) compared with the cultivated tomato Solanum lycopersicum (Sl). The paper investigates the physiological and molecular responses in leaves of Sp and Sl plants without stress and moderate drought stress. Significant physiological differences between species were found, with Sp leaves showing greater ability to avoid water loss and oxidative damage. Leaf transcriptomic analysis carried out when leaves did not as yet show visual dehydration symptoms revealed important constitutive expression differences between Sp and Sl species. Genes linked to different physiological and metabolic processes were induced by drought in Sp, especially those involved in N assimilation, GOGAT/GS cycle and GABA-shunt. Up-regulation in Sp of genes linked to JA/ET biosynthesis and signaling pathways was also observed. In sum, genes involved in the amino acid metabolism together with genes linked to ET/JA seem to be key actors in the drought tolerance of the wild tomato species.

NEW INSIGHTS ON THE MONITORING OF A BIOTRANSFORMATION PROCESS USING SYSTEMS BIOLOGY

Abstract Monitoring is one of the most important tasks previous to control and to optimize a bioprocess. Signalling intermediates are usually not employed to monitor a bioprocess since they are involved in complex networks. However, Systems Biology can help to understand this complexity in order to develop new monitoring agents. In this work, we predicted with the help of a model, which included the signalling pathways related to carnitine metabolism, that the signal factor cAMP can be used to monitor the biotransformation of trimethylammonium compounds into L-carnitine. Experiments in high density cell continuous reactors of E. coli using different carbon sources assessed these findings.