38 research outputs found

    Metabolic adaptation of two in silico mutants of Mycobacterium tuberculosis during infection

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    ABSTRACT: Background: Up to date, Mycobacterium tuberculosis (Mtb) remains as the worst intracellular killer pathogen. To establish infection, inside the granuloma, Mtb reprograms its metabolism to support both growth and survival, keeping a balance between catabolism, anabolism and energy supply. Mtb knockouts with the faculty of being essential on a wide range of nutritional conditions are deemed as target candidates for tuberculosis (TB) treatment. Constraint-based genome-scale modeling is considered as a promising tool for evaluating genetic and nutritional perturbations on Mtb metabolic reprogramming. Nonetheless, few in silico assessments of the effect of nutritional conditions on Mtb’s vulnerability and metabolic adaptation have been carried out. Results: A genome-scale model (GEM) of Mtb, modified from the H37Rv iOSDD890, was used to explore the metabolic reprogramming of two Mtb knockout mutants (pfkA- and icl-mutants), lacking key enzymes of central carbon metabolism, while exposed to changing nutritional conditions (oxygen, and carbon and nitrogen sources). A combination of shadow pricing, sensitivity analysis, and flux distributions patterns allowed us to identify metabolic behaviors that are in agreement with phenotypes reported in the literature. During hypoxia, at high glucose consumption, the Mtb pfkA-mutant showed a detrimental growth effect derived from the accumulation of toxic sugar phosphate intermediates (glucose-6-phosphate and fructose-6-phosphate) along with an increment of carbon fluxes towards the reductive direction of the tricarboxylic acid cycle (TCA). Furthermore, metabolic reprogramming of the icl-mutant (icl1&icl2) showed the importance of the methylmalonyl pathway for the detoxification of propionyl-CoA, during growth at high fatty acid consumption rates and aerobic conditions. At elevated levels of fatty acid uptake and hypoxia, we found a drop in TCA cycle intermediate accumulation that might create redox imbalance. Finally, findings regarding Mtb-mutant metabolic adaptation associated with asparagine consumption and acetate, succinate and alanine production, were in agreement with literature reports. Conclusions: This study demonstrates the potential application of genome-scale modeling, flux balance analysis (FBA), phenotypic phase plane (PhPP) analysis and shadow pricing to generate valuable insights about Mtb metabolic reprogramming in the context of human granulomas

    Genome engineering for improved recombinant protein expression in Escherichia coli

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    Medicinal plants – prophylactic and therapeutic options for gastrointestinal and respiratory diseases in calves and piglets? A systematic review

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    The fabrication of a high performance enzymatic hybrid membrane reactor (EHMR) containing immobilized Candida rugosa lipase (CRL) onto graphene oxide nanosheets-blended polyethersulfone membrane

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    © 2020 Elsevier B.V. Recently, membrane-immobilized enzyme as an affordable bioreactor has been explored in various fields such as biodiesel production and biosensing because of the reusability of the biocatalyst, increasing its stability and being a low-cost separating unit for producing pure products. Usually, membrane modification could affect the surface morphology and hydrophilicity to make them appropriate for enzyme immobilization. In this context, the modified nanocomposite membranes of polyethersulfone (PES) with various percentages (x: 0.00, 0.25, 0.50, 1.00, 2.00, 3.00) of the graphene oxide nanosheets (GON) named (PGx) are synthesized through the phase inversion technique. The enzymatic hybrid membrane reactors (EHMRs) are provided through the Candida rugosa lipase (CRL) immobilization on the synthesized hybrid membranes. The structure and surface functionalities of the synthesized GON and hybrid membrane are characterized by X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectroscopy and attenuated total reflection (ATR), respectively. The effect of the GON incorporation and CRL immobilization on the morphology of the membrane are explored through field emission scanning electron microscopy (FE-SEM), atomic force microscopy (AFM), contact angle goniometry, and surface free energy analysis. After measuring the porosity of the hybrid membranes with different amounts of GON, their performance, before and after CRL immobilization, are studied through pure water flux. The effective parameters on the activity and performance of EHMR such as GON percentages, CRL initial concentration, immobilization time, and storage condition are accurately optimized. The examination of the relative activity, reusability, and product permeability display that EHMR with 1.00% of GON (EHMR1) is the most efficient between EHMRs with different percentages of GON. Moreover, EHMR1 exhibits the enhancement in pH and thermal stability compared with free CRL and even the immobilized CRL on GON. While the storage stability of the wet- EHMR1 is higher than that of the dry-EHMR1, the stored wet- EHMR1 at 4 °C is more stable than room temperature. Because of these advantages, it is recommended that this bioactive membrane could be a passable candidate for application in the environmental, analytical, and industrial processes

    Enzymatic biodiesel production from crude Eruca sativa oil using Candida rugosa lipase in a solvent-free system using response surface methodology

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    © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group. In the present study, enzymatic biodiesel production from low-cost, non-edible crude Eruca sativa oil was investigated. Candida rugosa lipase (CRL), a commercially promising biocatalyst in different industries, was used. Although this source of lipase has been reported as unsuitable for biodiesel production from non-edible oil, in this study, it was attempted to use this enzyme for production of fatty acid methyl esters (FAME) from Eruca sativa oil in a solvent-free system. For the first time, the effects of pre-hydrolysis and pH on the yield of biodiesel were evaluated. Afterward, the four most commonly reported influential parameters were analyzed with the use of response surface methodology (RSM). It was observed that pre-hydrolysis had a significant effect on biodiesel conversion due to the mechanism of enzymatic biodiesel production. Deionized water was more efficient in comparison with phosphate buffer with different pH values. According to the RSM analysis, water content and temperature have a highly significant effect on biodiesel production. Methanol-to-oil ratio and enzyme amounts were also significant factors in FAME production. The optimum methanol-to-oil ratio, enzyme amount, water content, and temperature for achieving high conversion was found to be 3:1, 5 mg, 40%, and 21 °C, respectively

    Spectroscopic study on the interaction of ct-DNA with manganese Salen complex containing triphenyl phosphonium groups

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    The DNA binding properties of a bulky and hydrophobic Schiff base complex of manganese(III) [N,N'-bis(5-(triphenyl phosphonium methyl)salicylidene)-1,2-ethylene diamine chloride Mn(III) acetate] was examined by spectroscopic techniques. UV-vis titration data indicate both hypo and hyperchromic effect with addition of DNA to complex. A competitive binding study showed that the enhanced emission intensity of ethidium bromide (EB) in the presence of DNA was quenched by adding Mn Salen complex. This finding indicates that Mn Salen complex displaces EB from its binding site in DNA. Helix melting studies indicate improvement in the helix stability, and an increase in the melting temperature. The analysis of CD spectra represents the structural changes in DNA due to the binding of Mn Salen complex. The binding constant has been calculated using absorbance and fluorescence data. The results also represent that the binding process proceeds by strong electrostatic and hydrophobic interactions
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