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Engineering microorganisms at the systems level is recognized to be the future of metabolic engineering. Thanks to the development of genome annotation, mcroorganisms can be understood, as never before, and be reconstructed in the form of computational models. Flux balance analysis provides a deep insight intocellular metabolism and can guide metabolic engineering strategies. In particular, algorithms can assess the cellular complexity of the metabolism and hint at genetic interventions to improve product productivity. In this work, Synechosystis PCC6803 metabolism was invesetigated in silico. Genetic interventions could besuggested to couple butanol synthesis to growth as a way to improve currentproductivities. Cofactor recycling and, in particular, buffering mechanisms were shown to be important targets. Creating a cofacor imbalance and removing thesebuffering mechanisms is an important driving force. This forces a carbon flux through butanol synthesis to maintain cofactor balance and sustain growth.

Despite the association of the human gut microbiome and various diseases, a systematic definition of what constitutes a healthy human gut microbiome has not been established. This is crucial for microbiome research as it provides a basis for evaluating whether a given microbiome sample may deviate from the homeostasis state and is thus prone to the development of chronic diseases. This work aims to propose one such definition by using species/strain-resolved Genome-scale (GEM) models of metabolism. More specifically, we have constructed sample-specific GEMs from 30 healthy subjects using the taxonomic profiling of fecal metagenomic samples. We then computationally simulated these GEMs under a relevant diet (a supplemented typical Western diet) to determine which microbes in each sample contribute to the production of 17 key metabolites curated from literature and reported to be produced and secreted by the gut microbiota of healthy subjects. Beyond this pilot study, we plan to expand our analyses by creating samples-specific GEMs for a large-scale database of all publicly available metagenomic data from healthy subjects (~2,500 samples so far). We will additionally identify a core set of microbial species/strains that are necessary to perform all essential functions of a healthy microbiome. Taken together, this project offers a new paradigm to establish a healthy baseline microbiome definition by identifying generalized and personalized microbial blueprints that could serve as viable markers of health.

In the first part of this research, we constructed a Genome scale Metabolic Model (GEM) of Taxus cuspidata, a medicinal plant used to produce paclitaxel (Taxol®). The construction of the T. cuspidata GEM was predicated on recent acquisition of a transcriptome of T. cuspidata metabolism under methyl jasmonate (MJ) elicited conditions (when paclitaxel is produced) and unelicited conditions (when paclitaxel is not produced). Construction of the draft model, in which transcriptomic data from elicited and unelicited conditions were included, utilized tools including the ModelSEED developed by Argonne National Laboratory. Although a model was successfully created and gapfilled by ModelSEED using their software, we were not able to reproduce their results using COBRA, a widely accepted FBA software package. Further work needs to be done to figure out how to run ModelSEED models on commonly available software. In the second part of this research, we modeled the MJ elicited/defense response phenotype in Arabidopsis thaliana. Previously published models of A. thaliana were tested for suitability in modeling the MJ elicited phenotype using publicly available computation tools. MJ elicited and unelicited datasets were compared to ascertain differences in metabolism between these two phenotypes. The MJ elicited and unelicited datasets were significantly different in many respects, including the expression levels of many genes associated with secondary metabolism. However, it was found that the expression of genes related to growth and central metabolism were not generally significantly different for the MJ+ and MJ- datasets, the pathways associated with secondary metabolism were incomplete and could not be modeled, and FBA methods did not show the difference in growth that was expected. These results suggest that behavior associated with the MJ+ phenotype such as slow growth and secondary metabolite production may be controlled by factors not easily modeled with transcriptome data alone. Additional research was performed in the area of cryosectioning and immunostaining of fixed Taxus aggregates. Protocols developed for this work can be found in Appendix B.

One of the most promising routes to renewable liquid fuels and chemicals is the fermentation of waste carbon by specialized microbes. Commercial development of gas fermentation technology is underway but many fundamental research problems must be addressed to further advance the technology towards economic competitiveness. This thesis addresses the important problem of developing integrated metabolic and transport models that predict gas fermentation performance in industrially relevant bubble column reactors. The computational models describe the conversion of CO-rich waste streams including synthesis gas to the platform chemical butyrate. The proposed modeling approach involves combining genome-scale reconstructions of bacterial species metabolism with transport equations that govern the relevant multiphase convective and diffusional processes within the spatially-varying system. I compared the combination of the acetogen Clostridium autoethanogenum for CO conversion to the intermediate acetate and three different gut bacteria (Clostridium hylemonae, Eubacterium rectale and Roseburia hominis) for conversion of acetate to butyrate. Trial-and-error optimization of the three co-culture designs was performed to assess their relative performance and guide future experimental studies.

Les anthocyanes sont une famille de polyphénols très répandus chez les végétaux. Chez la vigne, elles sont responsables de la coloration des baies des cépages rouges, et sont impliquées dans les propriétés organoleptiques des vins. Une nutrition azotée faible induit la production des anthocyanes dans les cellules de la pellicule de raisin des cépages rouges via des mécanismes de régulation qui ne sont pas encore totalement élucidés. Dans ce contexte, nous avons étudié les mécanismes moléculaires impliqués dans la réponse de l’accumulation des anthocyanes pour différents niveaux d’apports azotés. Deux matériels biologiques complémentaires ont été utilisés : des suspensions cellulaires de vigne (lignée GT3) et des plants de Cabernet-Sauvignon, cultivés au vignoble.L’augmentation de la synthèse d’anthocyanes en réponse à la diminution de la nutrition azotée a été confirmée dans les baies et les cellules de vigne en culture. Les analyses transcriptomiques globales (génome complet) et ciblées (qPCR) ont mis en lumière des modifications de l’expression génique, notamment de gènes liés au métabolisme des flavonoïdes, en réponse à la nutrition azotée. L’expression de nombreux gènes structuraux impliqués dans la voie de biosynthèse des anthocyanes est induite par une faible nutrition azotée. La variation de l’apport azoté influence également de façon coordonnée l’expression des gènes régulateurs positifs (facteurs de transcription de type MYB) et négatifs (protéine de type Lateral organ Boundary Domain (LBD)) des gènes de la biosynthèse des flavonoïdes chez la Vigne. L’expression de gènes liés à la production d’énergie (NADH, NADPH), est également affectée.En parallèle, une approche intégrative a été développée sur les suspensions cellulaires, en combinant des mesures d’activités enzymatiques, des dosages de métabolites primaires et secondaires, avec un modèle de balance de flux (Flux Balance Analysis, FBA). Les cartes de flux obtenues prédisent que la diminution de l’apport azoté entraîne une augmentation des flux métaboliques dans la voie du shikimate et des phénylpropanoïdes ; ainsi qu’une répression de la majorité des flux dans les différentes voies du métabolisme primaire, à l’exception de la voie des pentoses phosphates, dont le flux est maintenu, et de la voie de synthèse de l’amidon qui est accrue. Les résultats obtenus plaident en faveur d’un lien fort entre synthèse des anthocyanes et statut énergétique (ATP, NADPH) des cellules vigne. / Anthocyanins are polyphenol compounds very abundant in most of the plants. In grapevine, they give color to red berries and they improve red wine quality and increase the organoleptic properties of the wine. Low nitrogen supply stimulates anthocyanin production in berry skin cells of red grape varieties through regulation mechanisms that are far from being fully understood. In this context, we worked on the molecular mechanisms involved in anthocyanin biosynthesis response to nitrogen supply. Two complementary biological materials were used: grapevine cell suspensions (GT3 line) that originate from a teinturier cultivar and produce anthocyanins under normal conditions; and red grape berries of cv. Cabernet-Sauvignon cultivated in a commercial vineyard. Increases of anthocyanins synthesis in response to low nitrogen levels were confirmed in the field-grown berries and the cells suspensions. Both comparative global (microarrays) and targeted (qPCR) transcriptomic analysis showed different regulations on the expression of the genes involved in the secondary (especially the anthocyanin) and nitrogen metabolisms. The expression of most structural genes of the anthocyanin biosynthesis pathway was induced by a low nitrogen supply. Nitrogen controls also the expression of the positive (MYB transcription factors) and negative (Lateral organ Boundary Domain family protein LBD39) regulatory genes of the flavonoid pathway in grapevine. Furthermore, some genes improved in energy production (ATP, NADPH) were affected. In parallel, an integrative approach combining enzymatic activities and primary and secondary metabolites measurements with developing a Flux Balance Analysis (FBA) modeling approach was used on cells suspensions GT3. The flux maps deciphered that low nitrogen increases metabolic fluxes in shikimate and phenylpropanoid pathways and represses the majority metabolic fluxes in different pathways of primary metabolism. The two exceptions included the pentose phosphate pathway, which the flux metabolism was maintained, and the starch synthesis pathway, which was enhanced. The results obtained showed a strong link between anthocyanin synthesis and energy status (ATP, NADPH) in the berry cell suspensions.

Les lipides des microalgues et les glucides de cyanobactéries peuvent être transformés en biodiesel et en bioéthanol, respectivement. L'amélioration de la production de ces molécules doit prendre en compte les entrées périodiques (principalement la lumière) forçant le réseau métabolique de ces organismes photosynthétiques. Il est donc nécessaire de tenir compte de la dynamique du réseau métabolique en réduisant sa dimension pour assurer la maniabilité mathématique. Le but de ce travail est de concevoir une approche originale pour réduire les réseaux métaboliques dynamiques tout en conservant la dynamique de base. Cette méthode est basée sur une séparation en échelles de temps. Pour une classe de modèles de réseaux métaboliques décrits par des ODE, la dynamique des systèmes réduits est calculée à l'aide du théorème de Tikhonov pour les systèmes singulièrement perturbés. Cette approximation quasi-stationnaire coïncide avec la dynamique du réseau d'origine, avec une erreur bornée. L'approche est d'abord développée pour les systèmes de réaction pouvant être linéarisés autour d'un point de travail et forcés par des entrées continues. Ensuite, une généralisation de cette méthode est donnée pour les réseaux à réactions rapides de cinétiques de Michaelis-Menten et tout type de cinétiques lentes, prenant également en compte un nombre fini d'entrées continues externes. La méthode de réduction met en évidence une relation entre la grandeur de la concentration des métabolites et la gamme des vitesses de réaction : les métabolites consommés par les réactions rapides ont une concentration inférieure d'un ordre de grandeur à celle des métabolites consommés à faible vitesse. Cette propriété est satisfaite pour les métabolites à dynamique rapide ne se trouvant pas dans un piège de flux, concept introduit dans ce travail. Le système réduit peut être calibré avec des données expérimentales à l'aide d'une procédure d'identification dédiée basée sur la minimisation. L'approche est illustrée par un réseau métabolique de microalgues autotrophes, comprenant le métabolisme central et représentant la dynamique des glucides et des lipides. Cette approche permet de bien ajuster les données expérimentales de Lacour et al. (2012) avec la microalgue Tisochrysis lutea. Enfin, un schéma visant à optimiser la production de molécules cibles est proposé en utilisant le système réduit. / Lipids from microalgae and carbohydrates from cyanobacteria can be transformed into biodiesel and bioethanol, respectively. Enhancing the production of these molecules must account for the periodic inputs (mainly light) forcing the metabolic network of these photosynthetic organisms. It is therefore necessary to account for the dynamics of the metabolic network, while reducing its dimension to ensure mathematical tractability. The aim of this work is to design an original approach to reduce dynamic metabolic networks while keeping the core dynamics. This method is based on time-scale separation. For a class of metabolic network models described by ODE, the dynamics of the reduced systems are computed using the theorem of Tikhonov for singularly perturbed systems. This Quasi Steady State Approximation accurately coincides with the original network dynamics, with a bounded error. The approach is first developed for reaction systems that can be linearized around a working point and that are forced by external continuous inputs. Then, a generalization of this method is given for networks with fast reactions of Michaelis-Menten kinetics and any type of slow kinetics, also considering a finite number of external continuous inputs. The reduction method highlights a relation between the concentration magnitude of the metabolites and the range of the reaction rates: the metabolites that are consumed by fast reactions have concentration one order of magnitude lower than metabolites consumed at slow rates. This property is satisfied for metabolites with fast dynamics that are not in a flux trap, a concept introduced in this work. The reduced system can be calibrated with experimental data using a dedicated identification procedure based on minimization. The approach is illustrated with an autotrophic microalgae metabolic network, including the core metabolism and representing the carbohydrates and lipids dynamics. The approach efficiently fits the experimental data from Lacour et al. (2012) with the microalgae Tisochrysis lutea. Finally, a scheme to optimize the production of target molecules is proposed using the reduced system.

pH is a key parameter in the optimization of animal cell processes, and has be linked to specific patterns of consumption and production of extracellular metabolites. However, the effect of extracellular pH on intracellular metabolism has not been fully elucidated. Metabolic flux analysis is a mathematical method that can be used to generate the intracellular flux distributions in cells, e.g. as a function of some environmental parameter. In this work, the overall objective was to develop a culture system and experimental protocol for cultivation of CHO cells, which can be used to generate data for analysis of the relationship between extracellular pH and intracellular fluxes in CHO cells by metabolic flux analysis. First, shake-flask culture of an IgG-producing cell line was performed to select an academic and chemically-defined medium with known composition. This was followed by subsequent adaptation of the cells. It was found that the originally selected medium had to be supplemented with a commercial medium to produce acceptable growth and viability. Shake-flask culture was also performed to evaluate the effect of the biological buffer HEPES on cell growth and viability, and the pH-stability during culture. HEPES-concentrations in the investigated range (7.5-45 mM) did not show an apparent effect on cell growth or viability. The higher concentrations gave slightly better buffering capacity at inoculation, however were not sufficient to keep pH stable during culture. As a result, the idea of using shake flask culture and similar techniques for cultivation of cells at various pH set-points was dismissed. Instead, a culture system and protocol based on a 100 mL Spinner flask with pH-regulation was custom-designed for the project. Features of the final design included continuous monitoring of pH and DO, stable temperature at 37 °C, adjustable agitation rate, as well as the option to incorporate inflow of air, O2 and CO2. In addition, the possibility to disconnect the flask unit to perform medium exchange and sample collection away from the reactor site (i.e. in a laminar flow workbench) was integrated into the design and protocol. The system was demonstrated for pseudo-perfusion culture with the adapted IgG-producing cell line at pH 7.0 during 24 days. Optimized regulation settings were identified. It was shown that the system could support viable cell densities of up to 11 MVC/mL and high viability (> 90 %). During the final phase of culture, stable growth, at specific growth rates of approximately 0.7 Day-1, was achieved. The specific rates of consumption and production of the key metabolites glucose, glutamine, lactate and NH4+, as well as 20 amino acids were analyzed. A majority of the rates were in accordance with CHO cell metabolism. The expected consumption of a majority of the essential amino acids and main carbon sources glucose and glutamine were confirmed, as well as the associated production of by-products lactate and NH4+. The system and protocol developed in this work can be used in future experiments to generate data describing metabolic profiles as a function of various pH-set points. This data may then be used in metabolic flux analysis to further elucidate the metabolism behind pH effects in CHO cells. / pH är en viktig parameter i optimeringen av animalcellsprocesser och har sammankopplats med specifika konsumtions- och produktionsmönster rörande extracellulära metaboliter. Det extracellulära pH-värdets effekt på den intracellulära metabolismen är dock inte fullt klarlagd. Metabolisk flux analys är en matematisk metod som kan användas för att generera intracellulära fluxfördelningar i celler, exempelvis som en funktion av någon yttre parameter. Det övergripande målet i detta arbete var att utveckla ett odlingssystem och experimentellt protokoll för odling av CHO-celler som kan användas för att generera data för metabolisk flux analys där målet är att studera effekten av pH på den intracellulära cellmetabolismen. En IgG-producerande CHO-cellslinje odlades först i skakkolv för att välja ut ett akademiskt kemiskt definierat medium med känd sammansättning. Därefter följde försök att anpassa cellerna till det valda mediet. Det visade sig att ett kommersiellt medium behövde tillsättas för att ge godtagbar tillväxt och viabilitet. Effekten av den biologiska bufferten HEPES på cellernas tillväxt och viabilitet, samt pH-stabiliteten under odling, undersöktes också genom odling i skakkolv. HEPES-koncentrationer i det undersökta intervallet (7.5 – 45 mM) hade ingen större effekt på tillväxt och viabilitet. För de högre koncentrationerna var buffertkapaciteten något bättre precis vid inokulering. Dessa koncentrationer var dock ej tillräckliga för att ge stabilt pH under odlingen. Baserat på dessa resultat övergavs tanken på att använda skakkolvsodling för att odla celler vid olika pH-värden. Ett odlingssystem och ett protokoll baserat på en 100 mL Spinnerflaska med pH-reglering specialdesignades istället för projektet. I det färdiga systemet fanns lösningar för kontinuerlig övervakning av pH och DO, stabil temperatur vid 37 °C, justerbar omrörningshastighet, samt valmöjligheten att flöda in luft, O2 och CO2. Dessutom infördes möjligheten att koppla loss flaskenheten från reglersystemet för byte av medium och provtagning. För att demonstrera systemet genomfördes en odling med den anpassade IgG-producerande cellinjen enligt principen för pseudo-perfusion vid pH 7.0. Odlingen pågick under 24 dagar och optimerade reglerinställningar identifierades. Det visades att systemet kunde understödja cellkoncentrationer upp till 11 miljoner celler per milliliter, samt hög viabilitet (> 90 %). Under den senare delen av odlingen uppnåddes stabil tillväxt, vid specifika tillväxthastigheter omkring 0.7 per dygn. Den specifika konsumtions- och produktionshastigheten för metaboliterna glukos, glutamin, laktat och NH4+, samt 20 aminosyror analyserades. Majoriteten av hastigheterna stämde överens med typisk CHO-cellsmetabolism. Den förväntade konsumtionen av majoriteten av de essentiella aminosyrorna och huvudsakliga kolkällorna glukos och glutamin konfirmerades, såväl som den associerade produktionen av bi-produkterna laktat och NH4+. Odlingssystemet och det experimentella protokollet som utvecklades i detta arbete kan användas i framtida experiment för att generera data som beskriver metaboliska profiler som funktion av extracellulärt pH. Dessa data kan sedan användas i metabolisk flux analys för att dra slutsatser om pH-effekter i CHO-celler.

Cyanobakterien sind meist photoautotroph lebende Prokaryoten, welche nahezu alle Biotope der Welt besiedeln. Sie gehören zu den wichtigsten Produzenten der weltweiten Nahrungskette. Um sich auf den täglichen Wechsel von Tag und Nacht einzustellen, besitzen Cyanobakterien eine innere Uhr, bestehend aus den Proteinen KaiA, KaiB und KaiC, deren biochemische Interaktionen zu einem 24-stündigen Rhythmus von Phosphorylierung und Dephosphorylierung führen. Die circadiane Genexpression im Modellorganismus Synechocystis sp. PCC 6803 habe ich mittels drei verschiedener Zeitserienexperimente untersucht, wobei ich einen genauen Zeitplan der Genaktivierung in einer Tag-Nacht-Umgebung, aber keine selbsterhaltenden Rhythmen entdecken konnte. Allerdings beobachtete ich einen überaus starken Anstieg der ribosomalen RNA in der Dunkelheit. Aufgrund ihrer hohen Wachstumsraten und der geringen Anforderungen an die Umwelt bilden Cyanobakterien eine gute Grundlage für die nachhaltige Erzeugung von Biokraftstoffen, für einen industriellen Einsatz sind aber weitere Optimierung und ein verbessertes Verständnis des Metabolismus von Nöten. Hierfür habe ich die Orthologie von verschiedenen Cyanobakterien sowie die Konservierung von Genen und Stoffwechselwegen untersucht. Mit einer neu entwickelten Methode konnte ich gemeinsam vorkommende Gene identifizieren und zeigen, dass diese Gene häufig an einem gemeinsamen biologischen Prozess beteiligt sind, und damit bisher unbekannte Beziehungen aufdecken. Zusätzlich zu den diskutierten Modulen habe ich den SimilarityViewer entwickelt, ein grafisches Computerprogramm für die Identifizierung von gemeinsam vorkommenden Partnern für jedes beliebige Gen. Des Weiteren habe ich für alle Organismen automatische Rekonstruktionen des Stoffwechsels erstellt und konnte zeigen, dass diese die Synthese von gewünschten Stoffen gut vorhersagen, was hilfreich für zukünftige Forschung am Metabolismus von Cyanobakterien sein wird. / Cyanobacteria are photoautotrophic prokaryotes populating virtually all habitats on the surface of the earth. They are one of the prime producers for the global food chain. To cope with the daily alternation of light and darkness, cyanobacteria harbor a circadian clock consisting of the three proteins KaiA, KaiB, and KaiC, whose biochemical interactions result in a phosphorylation cycle with a period of approximately 24 hours. I conducted three time-series experiments in the model organism Synechocystis sp. PCC 6803, which revealed a tight diurnal schedule of gene activation. However, I could not identify any self-sustained oscillations. On the contrary, I observed strong diurnal accumulation of ribosomal RNAs during dark periods, which challenges common assumptions on the amount of ribosomal RNAs. Due to their high growth rates and low demand on their environment, cyanobacteria emerged as a viable option for sustainable production of biofuels. For an industrialized production, however, optimization of growth and comprehensive knowledge of the cyanobacterial metabolism is inevitable. To address this issue, I analyzed the orthology of multiple cyanobacteria and studied the conservation of genes and metabolic pathways. Systematic analysis of genes shared by similar subsets of organisms indicates high rates of functional relationship in such co-occurring genes. I designed a novel approach to identify modules of co-occurring genes, which exhibit a high degree of functional coherence and reveal unknown functional relationships between genes. Complementing the precomputed modules, I developed the SimilarityViewer, a graphical toolbox that facilitates further analysis of co-occurrence with respect to specific cyanobacterial genes of interest. Simulations of automatically generated metabolic reconstructions revealed the biosynthetic capacities of individual cyanobacterial strains, which will assist future research addressing metabolic engineering of cyanobacteria.

The aim of this thesis was to develop stable-isotope steady-state metabolic flux analysis (MFA) based on ¹³C labeling to quantify intracellular fluxes of central carbon metabolism in plants. The experiments focus on the analysis of a heterotrophic cell suspension culture of Arabidopsis thaliana (L) Heynh. (ecotype Landsberg erecta). The first objective was to develop a robust methodology based on combining high quality steady-state stable labeling data, metabolic modeling and computational analysis. A comprehensive analysis of the factors that influence the outcome of MFA was undertaken and best practice established. This allowed a critical analysis of the subcellular compartmentation of carbohydrate oxidation in the cell culture. The second objective was to apply the methodology to nutritional perturbations of the cell suspension. A comparison of growth on different nitrogen sources revealed that transfer to an ammonium-free medium: (i) increased flux through the oxidative pentose phosphate pathway (oxPPP) by 10% relative to glucose utilisation; (ii) caused a substantial decrease in entry of carbon into the tricarboxylic acid cycle (TCA); and (iii) increased the carbon conversion efficiency from 55% to 69%. Although growth on nitrate alone might be expected to increase the demand for reductant, the cells responded by decreasing the assimilation of inorganic N. Cells were also grown in media containing different levels of inorganic phosphate (Pi). Comparison of the flux maps showed that decreasing Pi availability: (i) decreased flux through the oxPPP; (ii) increased the proportion of substrate fully oxidised by the TCA cycle; and (iii) decreased carbon conversion efficiency. These changes are consistent with redirection of metabolism away from biosynthesis towards cell maintenance as Pi is depleted. Although published genome-wide transcriptomic and metabolomic studies suggest that Pi starvation leads to the restructuring of carbon and nitrogen metabolism, the current analysis suggests that the impact on metabolic organisation is much less extreme.