The metabolic consequences of gene knockout to pathway flux in trypanosomes

Unusual metabolism of protozoan parasite causing deadly sleeping sickness, Trypanosoma brucei, has been enigmatic for many years. In the past decades, targeted genetic perturbations combined with metabolic analysis have advanced the view on complex compartmentalized metabolism of this organism, but acyl-CoA metabolism on the crossroad between catabolic and anabolic pathways, remains largely uncharacterized. Present work aims at clarifying mitochondrial operation and topology of acyl-CoA network of T. brucei, as well as its interconnections with the rest of metabolism. This has required the development of a complete framework for investigation of acyl-CoA metabolism in T. brucei integrating isotope labeling experiments with metabolite quantification. Sensitive LC-MS method for identification and quantification of acyl-CoAs based on high-resolution mass spectrometry (HRMS) with LTQ-OrbiTrap has been established and applied to investigate acyl-CoA metabolism in the protozoan parasite, as well as in the model organism in systems and synthetic biology, Escherichia coli. Complete workflow from cell cultivation, measurement of extracellular fluxes and analysis of isotopic profile which is result of enzyme-specific incorporation of isotopic tracer allowed modelling of metabolic network and calculation of metabolic fluxes. The entire workflow has been biologically validated and has clarified the link between acyl-CoA and central carbon metabolism in E. coli. The proposed framework has been adapted to T. brucei, for which several sample collection methods have been evaluated thoroughly. It was possible to extract, identify and quantify main acyl-CoA species produced from glucose catabolism. This optimised setup for acyl-CoA analysis will allow collection of data for NMR-based analysis of metabolic end products as well as collection of intracellular metabolites from same sample.Le contexte de ce projet de thèse était d’approfondir la compréhension du métabolisme de Trypanosoma brucei. Les trypanosomes utilisent différents types de sources de carbone, des hydrates de carbone ainsi que des acides aminés pour alimenter leurs besoins énergétiques et biosynthétiques (conditions imitant réellement l'environnement dans la mouche tse-tse). Les différences de thioesters d'acyl-CoA sont encore inconnues dans ces conditions. Une telle élucidation est essentielle pour comprendre les adaptations métaboliques de l'organisme au cours de son cycle de vie. Cet objectif pourrait être complété par une combinaison d'analyses sensibles de divers groupes de métabolites, de délétions dirigées de gènes ou de régulations négatives. Ces derniers développements intègrent un flux de travail complet d'analyse des flux métaboliques par 13C à l’état-instationnaire. Ce flux de travail combine les méthodes existantes pour la collecte d'échantillons, la métabolomique quantitative basée sur MS et l'analyse isotopique d'acides organiques, d'acides aminés, de composés phosphorylés en plus des thioesters d'acyl Coenzyme A (acyl-CoAs), qui représentent un point central entre le métabolisme central du carbone et les voies anaboliques. Ce flux de travail a d'abord été évalué et validé sur l'organisme modèle Escherichia coli et a fourni de nouvelles idées sur son fonctionnement métabolique. Par la suite, ce flux de travail a ensuite été exploité pour étudier le métabolisme de T. brucei, pour lequel les résultats préliminaires sont décrits et discutés dans cette thèse

Engineering the Yeast Yarrowia lipolytica for Production of Polylactic Acid Homopolymer

International audiencePolylactic acid is a plastic polymer widely used in different applications from printing filaments for 3D printer to mulching films in agriculture, packaging materials, etc. Here, we report the production of poly-D-lactic acid (PDLA) in an engineered yeast strain of Yarrowia lipolytica. Firstly, the pathway for lactic acid consumption in this yeast was identified and interrupted. Then, the heterologous pathway for PDLA production, which contains a propionyl-CoA transferase (PCT) converting lactic acid into lactyl-CoA, and an evolved polyhydroxyalkanoic acid (PHA) synthase polymerizing lactyl-CoA, was introduced into the engineered strain. Among the different PCT proteins that were expressed in Y. lipolytica, the Clostridium propionicum PCT exhibited the highest efficiency in conversion of D-lactic acid to D-lactyl-CoA. We further evaluated the lactyl-CoA and PDLA productions by expressing this PCT and a variant of Pseudomonas aeruginosa PHA synthase at different subcellular localizations. The best PDLA production was obtained by expressing the PCT in the cytosol and the variant of PHA synthase in peroxisome. PDLA homopolymer accumulation in the cell reached 26 mg/g-DCW, and the molecular weights of the polymer (Mw = 50.5 × 10 3 g/mol and Mn = 12.5 × 10 3 g/mol) were among the highest reported for an in vivo production

Fractionation and Extraction Optimization of Potentially Valuable Compounds and Their Profiling in Six Varieties of Two <i>Nicotiana</i> Species

There is an increasingly urgent call to shift industrial processes from fossil fuel feedstock to sustainable bio-based resources. This change becomes of high importance considering new budget requirements for a carbon-neutral economy. Such a transformation can be driven by traditionally used plants that are able to produce large amounts of valuable biologically relevant secondary metabolites. Tobacco plants can play a leading role in providing value-added products in remote areas of the world. In this study, we propose a non-exhaustive list of compounds with potential economic interest that can be sourced from the tobacco plant. In order to optimize extraction methodologies, we first analyzed their physico-chemical properties using rapid solubility tests and high-resolution microfractionation techniques. Next, to identify an optimal extraction for a selected list of compounds, we compared 13 different extraction method–solvent combinations. We proceeded with profiling some of these compounds in a total of six varieties from Nicotiana tabacum and Nicotiana rustica species, identifying the optimal variety for each. The estimated expected yields for each of these compounds demonstrate that tobacco plants can be a superior source of valuable compounds with diverse applications beyond nicotine. Among the most interesting results, we found high variability of anatabine content between species and varieties, ranging from 287 to 1699 µg/g. In addition, we found that CGA (1305 µg/g) and rutin (7910 µg/g) content are orders of magnitude lower in the Burley variety as compared to all others

Blood and urine multi-omics analysis of the impact of e-vaping, smoking, and cessation: from exposome to molecular responses

Abstract Cigarette smoking is a major preventable cause of morbidity and mortality. While quitting smoking is the best option, switching from cigarettes to non-combustible alternatives (NCAs) such as e-vapor products is a viable harm reduction approach for smokers who would otherwise continue to smoke. A key challenge for the clinical assessment of NCAs is that self-reported product use can be unreliable, compromising the proper evaluation of their risk reduction potential. In this cross-sectional study of 205 healthy volunteers, we combined comprehensive exposure characterization with in-depth multi-omics profiling to compare effects across four study groups: cigarette smokers (CS), e-vapor users (EV), former smokers (FS), and never smokers (NS). Multi-omics analyses included metabolomics, transcriptomics, DNA methylomics, proteomics, and lipidomics. Comparison of the molecular effects between CS and NS recapitulated several previous observations, such as increased inflammatory markers in CS. Generally, FS and EV demonstrated intermediate molecular effects between the NS and CS groups. Stratification of the FS and EV by combustion exposure markers suggested that this position on the spectrum between CS and NS was partially driven by non-compliance/dual use. Overall, this study highlights the importance of in-depth exposure characterization before biological effect characterization for any NCA assessment study