The subject of this thesis is the generation of spatial temporal structures in living cells. Specifically, we studied the Min-system in the bacterium Escherichia coli. It consists of the MinC, the MinD, and the MinE proteins, which play an important role in the correct selection of the cell division site. The Min-proteins oscillate between the two cell poles and thereby prevent division at these locations. In this way, E. coli divides at the center, producing two daughter cells of equal size, providing them with the complete genetic patrimony. Our goal is to perform a quantitative study, both theoretical and experimental, in order to reveal the mechanism underlying the Min-oscillations. Experimentally, we characterize theMin-system, measuring the temporal period of the oscillations as a function of the cell length, the time-averaged protein distributions, and the in vivo Min-protein mobility by means of different fluorescence microscopy techniques. Theoretically, we discuss a deterministic description based on the exchange of Minproteins between the cytoplasm and the cytoplasmic membrane and on the aggregation current induced by the interaction between membrane-bound proteins. Oscillatory solutions appear via a dynamic instability of the homogenous protein distributions. Moreover, we perform stochastic simulations based on a microscopic description, whereby the probability for each event is calculated according to the corresponding probability in the master equation. Starting from this microscopic description, we derive Langevin equations for the fluctuating protein densities which correspond to the deterministic equations in the limit of vanishing noise. Stochastic simulations justify this deterministic model, showing that oscillations are resistant to the perturbations induced by the stochastic reactions and diffusion. Predictions and assumptions of our theoretical model are compatible with our experimental findings. Altogether, these results enable us to propose further experiments in order to quantitatively compare the different models proposed so far and to test our model with even higher precision. They also point to the necessity of performing such an analysis through single cell measurements.

Bien que l’évolution de la résistance aux médicaments soit l'un des plus grands défis dans la lutte contre les maladies infectieuses, beaucoup de phénomènes restent inexpliqués. Dans le cas de la leishmaniose, la résistance est un problème majeur depuis plusieurs années. Cette maladie zoonotique négligée est causée par le parasite protozoaire Leishmania, transmis par des phlébotomes lors du repas sanguin. Chez l’humain, elle se décline en trois formes principales : viscérale, cutanée et muco-cutanée. La leishmaniose peut aussi se développer chez les chiens infectés, qui constituent un réservoir majeur de transmission. Sans vaccin efficace, le contrôle de la maladie repose principalement sur la chimiothérapie, mais peu de molécules homologuées sont disponibles. En outre, les mêmes produits sont utilisés chez les chiens et les humains, ce qui favorise l'émergence et la propagation de souches résistantes aux médicaments. Leishmania est en effet connu pour détenir d’incroyables particularités génomiques (telles que la formation d’amplicons circulaires contenant des gènes de résistance) qui lui permettent de survivre dans des conditions de stress, telles que la pression médicamenteuse. Par ailleurs, Leishmania est un eucaryote qui a conservé la capacité de produire des vésicules extracellulaires (EVs) au cours de l’évolution. Ces particules de taille nanométrique sont produites naturellement par la majorité des cellules biologiques et ont un contenu riche en protéines, lipides et acides nucléiques. Bien que des caractéristiques clés des EVs du protozoaire aient été découvertes, aucune étude n’a encore été réalisée sur les EVs de souches résistantes. Ainsi, cet aspect constitue le cœur de mon projet de recherche de doctorat : l’étude des EVs de Leishmania et leur rôle dans le phénomène de la résistance aux médicaments. Nos travaux sont les premiers à démontrer que les mécanismes de résistance aux médicaments peuvent induire des changements dans la morphologie, la taille et la distribution des EVs de Leishmania. Nous avons identifié le protéome de base des EVs du parasite et nous avons mis en évidence des protéines enrichies dans les EVs libérées par des parasites résistants à l'antimoine, à la miltéfosine et à l'amphotéricine B. Nous avons également étudié le contenu en ADN des EVs de parasites résistants et confirmé l'enrichissement des amplicons porteurs de gènes de résistance aux médicaments, associés aux EVs. En complément, nos tests de transferts d’EVs ont prouvé que ces vésicules permettent le transfert horizontal de gènes de résistance : un mécanisme alternatif de résistance aux médicaments. Finalement, nous avons montré que les EVs des parasites résistants améliorent la croissance des promastigotes et réduisent l'accumulation de ROS, ce qui favorise la survie et la propagation des populations résistantes aux médicaments. En conclusion, ces découvertes permettront le développement de nouveaux tests diagnostiques et de nouvelles approches thérapeutiques pour certaines maladies infectieuses zoonotiques, basés sur les profils des EVs. De plus, elles ont une importance majeure dans la compréhension de la résistance médicamenteuse et prouve que les EVs fonctionnent comme des médiateurs efficaces dans le transfert horizontal de gène. Ce nouveau mécanisme facilite ainsi la transmission des gènes de résistance aux médicaments entre les parasites et favorise leur survie lorsqu'ils sont confrontés à des environnements stressants. / Although the evolution of drug resistance is one of the greatest challenges in the fight against infectious diseases, many phenomena remain unexplained. In the case of leishmaniasis, resistance has been a major problem for several years. This neglected zoonotic disease is caused by the protozoan parasite Leishmania, transmitted by sandflies during the blood meal. In humans, it comes in three main forms: visceral, cutaneous, and mucocutaneous. Leishmaniasis can also develop in infected dogs, which constitute a major reservoir of transmission. Without an effective vaccine, the control of the disease relies mainly on chemotherapy, but few approved molecules are available. Furthermore, the same products are used in dogs and humans, which promotes the emergence and spread of drug-resistant strains. Leishmania is indeed known to possess incredible genomic peculiarities (such as the formation of circular amplicons containing resistance genes) which allow it to survive under stressful conditions, such as drug pressure. Furthermore, Leishmania is a eukaryote that has retained the ability to produce extracellular vesicles (EVs) during evolution. These nano-sized particles are produced naturally by most biological cells and have a rich content of proteins, lipids, and nucleic acids. Although key characteristics of the protozoan EVs have been discovered, no studies have yet been performed on the EVs of resistant strains. Thus, this aspect constitutes the heart of my doctoral research project: the study of Leishmania EVs and their role in the phenomenon of drug resistance. Our work is the first to demonstrate that drug resistance mechanisms can induce changes in the morphology, size, and distribution of Leishmania EVs. We have identified the basic proteome of parasite EVs, and we have demonstrated enriched proteins in EVs released by parasites resistant to antimony, miltefosine and amphotericin B. We also studied the DNA content of EVs from resistant parasites and confirmed the enrichment of amplicons carrying drug resistance genes associated with EVs. In addition, our EV transfer tests have proven that these vesicles allow the horizontal transfer of resistance genes: an alternative mechanism of drug resistance. Finally, we showed that EVs from resistant parasites enhance promastigote growth and reduce ROS accumulation, which promotes the survival and spread of drug-resistant populations. In conclusion, these discoveries will allow the development of new diagnostic tests and new therapeutic approaches for certain zoonotic infectious diseases, based on the profiles of EVs. Moreover, these findings are of major importance in the understanding of drug resistance and prove that EVs function as effective mediators in horizontal gene transfer. This new mechanism thus facilitates the transmission of drug resistance genes between parasites and promotes their survival when confronted with stressful environments.

The subject of this thesis is the generation of spatial temporal structures in living cells. Specifically, we studied the Min-system in the bacterium Escherichia coli. It consists of the MinC, the MinD, and the MinE proteins, which play an important role in the correct selection of the cell division site. The Min-proteins oscillate between the two cell poles and thereby prevent division at these locations. In this way, E. coli divides at the center, producing two daughter cells of equal size, providing them with the complete genetic patrimony. Our goal is to perform a quantitative study, both theoretical and experimental, in order to reveal the mechanism underlying the Min-oscillations. Experimentally, we characterize theMin-system, measuring the temporal period of the oscillations as a function of the cell length, the time-averaged protein distributions, and the in vivo Min-protein mobility by means of different fluorescence microscopy techniques. Theoretically, we discuss a deterministic description based on the exchange of Minproteins between the cytoplasm and the cytoplasmic membrane and on the aggregation current induced by the interaction between membrane-bound proteins. Oscillatory solutions appear via a dynamic instability of the homogenous protein distributions. Moreover, we perform stochastic simulations based on a microscopic description, whereby the probability for each event is calculated according to the corresponding probability in the master equation. Starting from this microscopic description, we derive Langevin equations for the fluctuating protein densities which correspond to the deterministic equations in the limit of vanishing noise. Stochastic simulations justify this deterministic model, showing that oscillations are resistant to the perturbations induced by the stochastic reactions and diffusion. Predictions and assumptions of our theoretical model are compatible with our experimental findings. Altogether, these results enable us to propose further experiments in order to quantitatively compare the different models proposed so far and to test our model with even higher precision. They also point to the necessity of performing such an analysis through single cell measurements.