Les théories actuelles suggèrent que l'efficacité de traduction (nombre de protéines produitespar ARN messager ; notion spécifique à chaque à gène) reste constante lorsque le taux decroissance varie. Néanmoins, une efficacité de traduction constante est incompatible avec lafaible corrélation observée, à l’échelle du génome, entre l’évolution en fonction du taux decroissance de la concentration des ARN messagers et des protéines pour lesquelles ils codent.Pour faire face à ce paradoxe, nous avons développé un modèle mathématique de la traductionbasé sur les connaissances actuelles de ce processus au niveau moléculaire. L’exploration despropriétés du modèle nous a amené à conduire des expériences de transcriptomique, de PCRquantitative et de Live Cell Array (LCA) dont l’analyse a montré que l'efficacité de traductiondiminue jusqu'à 4 fois entre faible et fort taux de croissance chez la bactérie modèle Bacillussubtilis. Notre modèle a révélé que la chute de l’efficacité de traduction repose sur une chutede la concentration des ribosomes libres. Pour étudier les conséquences de la chute desribosomes libres sur la production des protéines, nous avons rationnellement défini à partir dumodèle mathématique des constructions génétiques combinant des promoteurs, naturel ousynthétique, et différentes régions d'initiation de la traduction (TIRs) contrôlant l’expressiondu gène gfp. En utilisant ces constructions génétiques, nous avons montré que la productiondes protéines est non-linéaire en fonction de la concentration en ribosomes libres. Uneproduction non-linéaire entraine des efficacités de traduction différentielles des ARNmessagers en fonction de leurs TIRs. Ce mécanisme de régulation général des protéinesparticipe à la perte de corrélation entre la concentration des ARN messagers et des protéinescorrespondantes et nous a amené à revisiter la Physiologie Moléculaire Bactérienne. / Current theories suggest that translation efficiency (i.e. number of proteins produced permRNA) remains invariant with increasing growth rate, which is inconsistent with the scanty correlation between mRNAs and cognate proteins abundances at the genome-scale level. We tackled this apparent paradox using a systems biology approach. We developed a knowledgebased, nonlinear mathematical model of translation. The in-depth analysis of the model led us to reassess experimentally, using high-throughput and genome-wide technologies, each measurable RNA entity at different growth rates. In contrast to the current knowledge, the total mRNA abundance was not constant but linearly increased with respect to the growth rate. A model-driven integration of genome-wide and molecular experimental datasets demonstrated that the drop in abundance of a constitutively expressed protein with increasing growth rate is not only due to the dilution but also to an unexpected up to 4-fold decrease of translation efficiency. Our model revealed that this drop relies on a drastic decrease in free (untranslating) ribosomes, a non-measurable entity. Using a set of 18 Bacillus subtilis strains combining 9 synthetic translation initiation regions (TIRs) and 2 constitutive promoters, we show that TIRs together with free ribosome abundance strongly contribute to a nonlinear modulation of single proteins as a function of the growth rate. The nonlinearity accounted for the loss of correlation between mRNAs and cognate proteins abundances. Altogether, our results evidenced a unique, hard-coded and global growth-rate-dependent regulation of single bacterial proteins without dedicated regulators.

ABSTRACT The aim of this study is develop and test an inexpensive molecular tool kit to be used for diagnostic PCR for diseases such as Leber hereditary optic neuropathy (LHON) and Cystic fibrosis(CF). By developing and optimizing recombinant Taq polymerase and making a DNA size ladder from plasmids pPSU1 and pPSU2 the financial cost for the tool kit would be reduced significantly compared to the commercial components. With an inhouse method both the recombinant Taq polymerase and the pPSU1 and pPSU2 plasmids were purified from the E.coil strain DH5-α. Thereafter to analyse the components of the tool kit both conventional PCR and Real-time PCR to make sure that the tool kit would work for both types of PCRs.     The homemade Taq polymerase proved to be able to sustain in room temperature for at least 24 h and the polymerase also showed that it works with different primers such as LHON, CF and Beta-globin in both endpoint and probe base real-time PCR. The homemade size marker produced a reliable in agarose gel electrophoresis but requires optimization for continued usage for smaller PCR products.     In conclusion the homemade Taq polymerase will be used in future PCR analysis in the laboratory and the recombinant production process as well. Meanwhile the homemade size marker did not work sufficiency enough to be continuously used with gel electrophoresis in the laboratory without being further modified.

Le déclin de la production de pétrole, lié avec la diminution des matières premières carbonées pour la synthèse chimique ont mené les scientifiques à chercher de nouvelles sources de carbone pour l'industrie chimique. L'utilisation du dioxyde de carbone aiderait à réduire les émissions de gaz à effet de serre tout en fournissant une matière première renouvelable à base de bloc moléculaire en C1. En renversant les équilibres biologiques de trois déshydrogénases, nous avons effectué la biosynthèse multienzymatique en cascade du méthanol à partir de CO2 en utilisant la formiate déshydrogénase de Candida boidinii, la formaldéhyde déshydrogénase de Pseudomonas putida et l'alcool déshydrogénase de Saccacharomyces cerevisiae. Nous avons optimisé le système en ajustant les conditions catalytiques et la quantité relative de chaque déshydrogénase. La phosphite déshydrogénase de Pseudomonas stutzeri a été également choisi comme système de régénération du cofacteur nicotinamide adénine dinucléotide réduit (NADH) parmi 4 systèmes de régénération étudiés. L'ensemble du système a été encapsulé dans des nanocapsules poreuses de silice qui a permis d'augmenter 15 fois les productivités en méthanol. Nous avons montré que les dernières limitations rencontrées, comme la disponibilité du CO2 et l'accumulation du méthanol, peuvent être dépassées en mettant en place un système catalytique en flux continu en phase gaz. / The decline of oil production, linked with the decrease of carbon feedstock for chemical synthesis leads scientist to find new sources of carbon for the chemical industry. Use of carbon dioxide would help to reduce the greenhouse gas emissions while providing a renewable feedstock of C1 molecular building blocks. By reversing the biological metabolic reaction pathway of three dehydrogenase, we carried out multistep multienzyme biosynthesis of methanol from CO2 using formate dehydrogenase from Candida Boidinii, formaldehyde dehydrogenase from Pseudomonas Putida and alcohol dehydrogenase from Saccacharomyces cerevisiae. We improved the system active by adjusting the catalytic conditions and the relative quantity of each dehydrogenase. Phosphite dehydrogenase from Pseudomonas stutzeri was also chosen among 4 different studied systems to be introduced into the catalysis as a cofactor regenerating system for reduced nicotinamide adenine dinucleotide. The enzymatic system was then immobilized by encapsulation into novel phospholipid templated silica nanocapsules, allowing an increase of the methanol productivity by a factor 15. We show that the last limitation of the process as substrate availability and product accumulation can be overcome by running continuous enzymatic flow conversion in a gas phase.

京都大学 / 0048 / 新制・課程博士 / 博士(農学) / 甲第22495号 / 農博第2399号 / 新制||農||1076(附属図書館) / 学位論文||R2||N5275(農学部図書室) / 京都大学大学院農学研究科応用生命科学専攻 / (主査)教授 栗原 達夫, 教授 小川 順, 教授 木岡 紀幸 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DGAM

La synthèse de protéines recombinantes chez les microorganismes est d'un intérêt majeur pour la production de produits biopharmaceutiques, thérapeutiques et enzymatiques industriels. Cependant, la surproduction de protéines a un effet néfaste sur la physiologie cellulaire. Les ressources cellulaires (métabolites, énergie, machinerie moléculaire, espace cytosolique, etc.) sont en effet partagées entre les protéines de l'hôte et la protéine "gratuite". Cette surcharge non naturelle entraîne une croissance plus lente et des rendements en protéines plus faibles, un phénomène connu sous le nom de "burden". Dans mon projet de doctorat, il s'agissait (1) de déchiffrer les conséquences de la surproduction de protéines gratuites sur la physiologie cellulaire, (2) d'identifier le type de ressources limitantes, et (3) de surmonter cette limitation pour améliorer la production de protéines. Afin de déchiffrer les conséquences de la surproduction de protéines (1), nous avons analysé le taux de croissance, la production de protéines d'intérêt et le protéome de souches de Bacillus subtilis surproduisant divers niveaux de protéines rapportrices. Les protéines rapportrices ont été choisies de manière à être facilement quantifiables par fluorescence et par des tests d'activité (i.e. GFP, mKate2, LacZ, etc.). Pour obtenir les différents niveaux d'expression, nous avons construit des séquences synthétiques par assemblage de promoteurs constitutifs et inductibles et de régions d'initiation de traduction (TIR, RBS) variés. Nous avons ainsi montré que plus la quantité (et la taille) de la protéine produite était élevée, plus les taux de croissance étaient faibles et plus la taille des cellules était élevée. Par exemple, le taux de croissance a diminué de plus de 20 % lorsque la GFP était surproduite à plus de 5 % de la quantité totale de protéines solubles, selon des quantifications biochimiques et de fluorescence. Pour identifier le type de ressources limitantes (2), nous avons effectué une quantification relative des protéines sur les souches surproductrices de GFP et montré que certaines protéines non essentielles étaient moins abondantes dans ces souches. Nous avons ensuite dégradé spécifiquement les protéines rapportrices à l'aide d'un outil de biologie de synthèse précédemment mis au point pour B. subtilis, afin que les acides aminés puissent être recyclés dans le pool de ressources cellulaires. Avec une dégradation de 50-60% de GFP et mKate2, nous avons observé une restauration de 50% du taux de croissance. Ces résultats suggèrent que la quantité d'acides aminés (et par conséquent leur utilisation dans la synthèse des protéines) est le principal type de ressources limitantes. Pour améliorer la production de protéines (3), nous avons cherché à développer un système synthétique de recyclage des acides aminés basé sur le système de dégradation mentionné ci-dessus en surproduisant les protéases d'E. coli et B. subtilis (ClpXP) avec une protéine adaptatrice (SspB) d'E. coli. Cet outil pourrait permettre de dégrader spécifiquement des protéines non essentielles pour économiser des ressources cellulaires. Nous avons montré que la surproduction de ClpXP ou de SspB/ClpXP était suffisante pour permettre une dégradation complète des protéines produites à des niveaux bas et intermédiaires, et jusqu'à 50% des protéines fortement produites. Comme ClpXP est une protéase impliquée dans la réponse au stress, nous avons cherché à savoir si la surproduction de ClpXP pouvait avoir des conséquences négatives sur la physiologie cellulaire. Une quantification relative des protéines sur une souche surproductrice de ClpXP a montré que la surproduction de ClpXP provoque une réorganisation globale du protéome sans toutefois affecter le taux de croissance de la cellule. / Recombinant protein production in microorganisms is of great interest for the production of biopharmaceuticals, therapeutics and industrial enzymes. However, recombinant protein production has always shown a harmful effect on the microorganism cell physiology when excessively produced. Cell resources (i.e. metabolites, energy, molecular machinery, cytosolic space, etc.) are used to produce the host's proteins and the overproduced gratuitous protein. As a result, this unnatural extra load typically leads to slower growth and lower protein yields, a phenomenon known as ʻburdenʼ. This burden comes from the fact that the recombinant protein has no benefit for the microorganism, and that it only uses cell resources at the expense of the production of the endogenous essential proteins. In my PhD project, the issues were (1) to decipher the consequences of gratuitous protein overproduction on the cell physiology, (2) to identify the limiting type of resources, and (3) to overcome this limitation to improve protein production. To address the first issue (1), we analyzed growth rates, production of several proteins of interest, and genome-wide proteomes of Bacillus subtilis strains overproducing various levels of reporter proteins. The reporter proteins were chosen so that they were easily quantifiable by fluorescence and β-galactosidase activity assays (i.e. GFP, mKate2, LacZ, etc.). To obtain the various levels of expression, we built synthetic sequences made of the assembly of various constitutive and inducible promoters and translation initiation regions (TIR, RBS). Hence, we showed that higher was the amount (and size) of the protein produced, lower were the rates of growth and higher were the cell sizes. For instance, the growth rate decreased down by over 20% when GFP was overproduced above 5% of the total soluble protein amount according to both biochemical and fluorescence assays. To further identify the limiting type of resources (2), we performed a relative protein quantification on the strains overproducing GFP at different levels. Hence, we showed that some non-essential proteins were less abundant in the strains overproducing GFP. We next targeted the reporter proteins for degradation using a synthetic tool previously engineered in B. subtilis, so that amino acids can be recycled back to the pool of cell resources. Degrading the reporter gratuitous protein should also relieve the constraint on the cytosolic density by liberating intracellular space. With a degradation of 50-60% of GFP and mKate2, we observed a 50% restoration of the growth rate. This result together with the proteome analysis suggested that the amount of amino acids (and consequently their utilization in protein synthesis) was the main limiting type of resources. To overcome this limitation and improve protein production (3), we aimed at exploring a synthetic, amino acid recycling system based on the above mentioned degradation system. We decided to improve the targeted degradation system by overproducing the E. coli and B. subtilis ClpXP proteases together with an E. coli adaptor protein SspB. This tool may allow to target proteins for degradation in order to save resources and improve the production of a protein of interest. We showed that the overproduction of either ClpXP or SspB/ ClpXP were sufficient to allow a complete degradation of the proteins produced low and intermediate levels, and up to 50% of degradation of the proteins highly produced. As ClpXP is a protease involved in stress responses, we aimed to know whether the overproduction of ClpXP may have negative consequences on the cell physiology. We therefore performed relative protein quantification on a strain overproducing ClpXP. The results showed that ClpXP overproduction causes a global reorganisation on the proteome without affecting the growth rate of the cell.

No description available.

The aim of this work was to investigate and determine central parameters that can be used to control and increase the solubility, quality and productivity of recombinant proteins. These central parameters should be applicable under the constraints of high-throughput protein production in Escherichia coli. The present investigation shows that alternative methods exist to improve solubility, quality and productivity of the recombinant protein. The hypothesis is that by reducing the synthesis rate of the recombinant protein, a higher quality protein should be produced. The feed rate of glucose can be used to decrease the synthesis rate of the recombinant protein. The influence of feed rate on solubility and proteolysis was investigated using the lacUV5-promoter and two model proteins, Zb-MalE and Zb-MalE31. Zb-MalE31 is a mutated form of Zb-MalE that contains two different amino acids. These altered amino acids greatly affect the solubility of the protein. The soluble fraction is generally twice as high using Zb-MalE compared to Zb-MalE31. Using a low feed rate compared to high benefits the formation of the full-length soluble protein. Furthermore, by using a low feed rate, the proteolysis can be decreased. One other factor that influences the solubility is the amount of inducer used. An increase from 100 µM to 300 µM IPTG only results in more inclusion bodies being formed, the fraction of soluble protein is the same. The quality aspect of protein production was investigated for a secreted version of Zb-MalE using two different feed rates of glucose and the maltose induced promoter PmalK. It was shown that when the protein was secreted to the periplasm, the stringent response as well as the accumulation of acetic acid (even for high feed rates) was reduced. The stringent response and accumulation of acetic acid are factors that are known to affect the quality and quantity of recombinant proteins. Transporting the protein to the periplasm results in this case on a lower burden on the cell, which leads to less degradation products being formed when the protein is secreted to the periplasm. Seeing the feed rate as a critical parameter, the high-throughput production would benefit from a variation in the feed rate. However, since the fed-batch technique is technically complicated for small volumes another approach is needed. E.coli strains that have been mutated to create an internal growth limitation that simulate fed-batch were cultivated in batch and were compared to the parent strain. It was shown that the growth rate and acetic acid formation was comparable to the parent strain in fed-batch. Furthermore it was shown that a higher cell mass was reached using one of the mutants when the cells were cultivated for as long time as possible. The higher cell mass can be used to reach a higher total productivity. / QC 20101112

The development of a biologic protein involves different stages and becomes a highly complex process which can be costly and time consuming to scale up for industrial production. Therefore, optimization is a necessary part of the production process development to lower the production expenses.An on-going project is working on upscaling the production of a protein derived from mussel adhesive proteins (MAPs) which has great properties to be used as a pharmaceutical drug or in medical devices. The protein is expressed in a bacterial host cell and the necessary post translational modifications (PTMs) are done in-vitro using enzymes. The work presented in this report was done to optimize both the protein production in lab scale bioreactors and the enzymatic reaction using an immobilized prolyl-4-hydroxylase (P4H) which does a post translational modification on prolyl-residues. Additionally, an interaction study was conducted to better understand the hydroxylation using the prolyl-4-hydroxylase.For the bioreactor optimization four initial trials were performed testing different growth and induction temperatures and also comparing exponential to linear feeding. From these trials it appeared that having 30 ℃ growth overnight and induction at the same temperature in combination with an exponential feeding rate gave the best results. The modifications done by the prolyl-4-hydroxylase were analysed by LC-MS and suggest that longer incubation time and more immobilized protein gives more modifications in the tested ranges and the possibilities of reusing the immobilized proteins looks promising. No conclusive data was discovered for the optimal substrate concentration. The interaction study revealed the importance of reagents used for catalysis with the enzyme to be present for interaction to occur, however more work needs to be done to discover an accurate KD for the interaction.

La biología sintética se define como la ingeniería de la biología: el (re)diseño y construcción de nuevas partes, dispositivos y sistemas biológicos para realizar nuevas funciones con fines útiles, que se basan en principios elucidados de la biología y la ingeniería. Para facilitar la construcción rápida, reproducible y predecible de estos sistemas biológicos a partir de conjuntos de componentes es necesario desarrollar nuevos métodos y herramientas. La tesis plantea la optimización multiobjetivo como el marco adecuado para tratar los problemas comunes que surgen en el diseño racional y el ajuste óptimo de los circuitos genéticos sintéticos. Utilizando un enfoque clásico de ingeniería de sistemas, la tesis se centra principalmente en: i) el modelado de circuitos genéticos sintéticos basado en los primeros principios, ii) la estimación de parámetros de modelos a partir de datos experimentales y iii) el ajuste basado en modelos para lograr el desempeño deseado de los circuitos. Se han utilizado dos circuitos genéticos sintéticos de diferente naturaleza y con diferentes objetivos y problemas: un circuito de realimentación de tipo 1 incoherente (I1-FFL) que exhibe la importante propiedad biológica de adaptación, y un circuito de detección de quorum sensing y realimentación (QS/Fb) que comprende dos bucles de realimentación entrelazados -uno intracelular y uno basado en la comunicación de célula a célula- diseñado para regular el nivel medio de expresión de una proteína de interés mientras se minimiza su varianza a través de la población de células. Ambos circuitos han sido analizados in silico e implementados in vivo. En ambos casos, se han desarrollado modelos de estos circuitos basado en primeros principios. Se presta especial atención a ilustrar cómo obtener modelos de orden reducido susceptibles de estimación de parámetros, pero manteniendo el significado biológico. La estimación de los parámetros del modelo a partir de los datos experimentales se considera en diferentes escenarios, tanto utilizando modelos determinísticos como estocásticos. Para el circuito I1-FFL se consideran modelos determinísticos. Aquí, la tesis plantea la utilización de modelos locales utilizando la optimización multiobjetivo para realizar la estimación de parámetros del modelo bajo escenarios con estructura de modelo incompleta. Para el circuito QS/Fb, una estructura controlada por realimentación, el problema tratado es la falta de excitabilidad de las señales. La tesis propone una metodología de estimación en dos etapas utilizando modelos estocásticos. La metodología permite utilizar datos de curso temporal promediados de la población y mediciones de distribución en estado estacionario para una sola célula. El ajuste de circuitos basado en modelos para lograr un desempeño deseado también se aborda mediante la optimización multiobjetivo. Para el circuito QS/Fb se realiza un análisis estocástico completo. La tesis aborda cómo tener en cuenta correctamente tanto el ruido intrínseco como el extrínseco, las dos principales fuentes de ruido en los circuitos genéticos. Se analiza el equilibrio entre ambas fuentes de ruido y el papel que desempeñan en el bucle de realimentación intracelular, y en la realimentación extracelular de toda la población. La principal conclusión es que la compleja interacción entre ambos canales de realimentación obliga al uso de la optimización multiobjetivo para el adecuado ajuste del circuito. En esta tesis además del uso adecuado de herramientas de optimización multiobjetivo, la principal preocupación es cómo derivar directrices para el ajuste in silico de parámetros de circuitos que puedan aplicarse de forma realista in vivo en un laboratorio estándar. Como alternativa al análisis de sensibilidad de parámetros clásico, la tesis propone el uso de técnicas de clustering a lo largo de los frentes de Pareto, relacionando el compr / La biologia sintètica es defineix com l'enginyeria de la biologia: el (re) disseny i construcció de noves parts, dispositius i sistemes biològics per a realitzar noves funcions útils que es basen a principis elucidats de la biologia i l'enginyeria. Per facilitar la construcció ràpida, reproduïble i predictible de aquests sistemes biològics a partir de conjunts de components és necessari desenvolupar nous mètodes i eines. La tesi planteja la optimització multiobjectiu com el marc adequat per a tractar els problemes comuns que apareixen en el disseny racional i l' ajust òptim dels circuits genètics sintètics. Utilitzant un enfocament clàssic d'enginyeria de sistemes, la tesi es centra principalment en: i) el modelatge de circuits genètics sintètics basat en primers principis, ii) l' estimació de paràmetres de models a partir de dades experimentals i iii) l' ajust basat en models per aconseguir el rendiment desitjat dels circuits. S'han utilitzat dos circuits genètics sintètics de diferent naturalesa i amb diferents objectius i problemes: un circuit de prealimentació de tipus 1 incoherent (I1-FFL) que exhibeix la important propietat biològica d'adaptació, i un circuit de quorum sensing i realimentació (QS/Fb) que comprèn dos bucles de realimentació entrellaçats -un intracel·lular i un basat en la comunicació de cèl·lula a cèl·lula- dis-senyat per regular el nivell mitjà d'expressió normal d'una proteïna d'interès mentre es minimitza la seua variació al llarg de la població de cèl·lules. Els dos circuits han estat analitzats in silico i implementats in vivo. En tots dos casos, s'han desenvolupat models basats en primers principis d'aquests circuits. Després es presta especial atenció a delinear com obtenir models d'ordre reduït susceptibles de estimació de paràmetres, però mantenint el significat biològic. L' estimació dels paràmetres del model a partir de les dades experimentals es considera en diferents escenaris, tant utilitzant models determinístics com estocàstics. Per al circuit I1-FFL es consideren models determinístics. La tesi planteja la utilització de models locals utilitzant la optimització multiobjectiu per realitzar l'estimació de parametres del model sota escenaris amb estructura de model incompleta (dinàmica no modelada). Per al circuit de QS/Fb, una estructura controlada per realimentació, el problema tractat és la manca d'excitabilitat dels senyals. La tesi proposa una metodologia de estimació en dues etapes utilitzant models estocàstics. La metodologia permet utilitzar dades de curs temporal promediats de la població i mesures de distribució en estat estacionari d'una sola una cèl·lula. L' ajust de circuits basat en models per aconseguir el rendiment desitjat dels circuits també s' aborda mitjançant la optimització multiobjectiu. Per al circuit QS/Fb, es fa un anàlisi estocàstic complet. La tesi aborda com tenir en compte correctament tant el soroll intrínsec com l' extrínsec, les dues principals fonts de soroll en els circuits genètics sintètics. S' analitza l'equilibri entre dues fonts de soroll i el paper que exerceixen en el bucle de realimentació intracel·lular, les i en la realimentació extracel·lular de tota la població. La principal conclusió es que la complexa interacció entre els dos canals de realimentació fa necessari l' ús de la optimització multiobjectiu per al adequat ajust del circuit. En aquesta tesi, a més de l'ús adequat d'eines d'optimització multiobjectiu, la principal preocupació és com derivar directives per al ajust in silico de paràmetres de circuits que puguin aplicar-se de forma realista en viu en un laboratori estàndard. Així, com a alternativa a l'anàlisi de sensibilitat de paràmetres clàssic, la tesi proposa l'ús de l' tècniques de l'agrupació al llarg dels fronts de Pareto, relacionant el compromís de dessempeny amb les regions en l'espai d'paràmetres. / Synthetic biology is defined as the engineering of biology: the deliberate (re)design and construction of novel biological and biologically based parts, devices and systems to perform new functions for useful purposes, that draws on principles elucidated from biology and engineering. Methods and tools are needed to facilitate fast, reproducible and predictable construction of biological systems from sets of biological components. This thesis raises multi-objective optimization as the proper framework to deal with common problems arising in rational design and optimal tuning of synthetic gene circuits. Using a classical systems engineering approach, the thesis mainly addresses: i) synthetic gene circuit modeling based on first principles, ii) model parameters estimation from experimental data and iii) model-based tuning to achieve desired circuit performance. Two gene synthetic circuits of different nature and with different goals and inherent problems have been used throughout the thesis: an Incoherent type 1 feedforward circuit (I1-FFL) that exhibits the important biological property of adaptation, and a Quorum sensing/Feedback circuit (QS/Fb) comprising two intertwined feedback loops -an intracellular one and a cell-to-cell communication-based one-- designed to regulate the mean expression level of a protein of interest while minimizing its variance across the population of cells. Both circuits have been analyzed in silico and implemented in vivo. In both cases, circuit modeling based on first principles has been carried out. Then, special attention is paid to illustrate how to obtain reduced order models amenable for parameters estimation yet keeping biological significance. Model parameters estimation from experimental data is considered in different scenarios, both using deterministic and stochastic models. For the I1-FFL circuit, deterministic models are considered. In this case, the thesis raises ensemble modeling using multi-objective optimization to perform model parameters estimation under scenarios with incomplete model structure (unmodeled dynamics). For the QS/Fb gene circuit, a feedback controlled structure, the lack of excitability of the signals is the problem addressed. The thesis proposes a two-stage estimation methodology using stochastic models. The methodology allows using population averaged time-course data and steady state distribution measurements at the single-cell level. Model-based circuit tuning to achieve desired circuit performance is also addressed using multi-objective optimization. First, for the QS/Fb feedback control circuit, a complete stochastic analysis is performed. Here, the thesis addresses how to correctly take into account both intrinsic and extrinsic noise, the two main sources of noise in gene synthetic circuits. The trade-off between both sources of noise, and the role played by in the intracellular single-cell feedback loop and the extracellular population-wide feedback is analyzed. The main conclusion being that the complex interplay between both feedback channels compel the use of multi-objective optimization for proper tuning of the circuit to achieve desired performance. Thus, the thesis wraps up all the previous results and uses them to address circuit tuning for desired performance. Here, besides the proper use of multi-objective optimization tools, the main concern is how to derive guidelines for circuit parameters tuning in silico that can realistically be applied in vivo in a standard laboratory. Thus, as an alternative to classical parameters sensitivity analysis, the thesis proposes the use of clustering techniques along the optimal Pareto fronts relating the performance trade-offs with regions in the circuits parameters space. / This work has been partially supported by the Spanish Government (CICYT DPI2014- 55276-C5-1) and the European Union (FEDER). The author was recipient of the grant Formación de Personal Investigador by the Universitat Politècnica de València, subprogram 1 (FPI/2013-3242). She was also recipient of the competitive grants for pre-doctoral stays Erasmus Student Placement-European Programme 2015, and FPI Mobility program 2016 of the Universitat Politècnica de València. She also received the competitive grant for a pre-doctoral stay Becas de movilidad para Jóvenes Profesores e Investigadores 2016, Programa de Becas Iberoamérica of the Santander Bank. / Boada Acosta, YF. (2018). A systems engineering approach to model, tune and test synthetic gene circuits [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/112725 / TESIS

For a sustainable future, there is a call to increase the market share of bio-based technologies and materials. Microbial-based technologies have the potential and the ability to contribute substantively on many levels to global efforts to achieve sustainability. Development and utilization of microbial technologies is, however, an extensive process involving numerous steps, including the discovery of novel technologies and the development of industrially viable production systems. In the presented thesis, individual steps of microbial biotechnology development were addressed. In the first part of the study, a variety of methodological approaches were employed in order to study the effect of the anthropogenic activity (i.e., decades lasting production of penicillin G) on the structure of soil microbial communities. Moreover, both cultivable and non-cultivable fractions of populations were subjected to functional screening in order to unravel the biotechnological potential of the microorganisms in terms of production of enzymes involved in biotransformation of beta-lactam antibiotics: penicillin G acylase (PGA) and alpha amino acid ester hydrolase (AEH). Our results indicated that the impacted communities harbour a microbial community with increased diversity and richness. However, on the...