31 resultados para Bacterial evolutionary algorithm


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Dissertation presented to obtain the Ph.D degree in Biology

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Dissertation presented to obtain the Ph.D degree in Biology.

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Dissertation presented in partial fulfilment of the Requirements for the Degree of Master in Biotechnology

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Dissertation presented to obtain the Ph.D degree in Biology, Microbial Biology

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Sporulation in Bacillus subtilis culminates with the formation of a dormant endospore. The endospore (or spore) is one of the most resilient cell types known and can remain viable in the environment for extended periods of time. Contributing to the spore’s resistance and its ability to interact with and monitor its immediate environment is the coat, the outermost layer of B. subtilis spores. The coat is composed by over 70 different proteins, which are produced at different stages in sporulation and orderly assembled around the developing spore.(...)

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AraL from Bacillus subtilis is a member of the ubiquitous haloalkanoate dehalogenase, HAD, superfamily. The araL gene has been cloned, over-expressed in Escherichia coli and its product purified to homogeneity. The enzyme displays phosphatase activity, which is optimal at neutral pH (7.0) and 65 °C. Substrate screening and kinetic analysis showed AraL to have low specificity and catalytic activity towards several sugar phosphates, which are metabolic intermediates of the glycolytic and pentose phosphate pathways. Based on substrate specificity and gene context within the arabinose metabolic operon, a putative physiological role of AraL in detoxification of accidental accumulation of phosphorylated metabolites has been proposed. The ability of AraL to catabolise several related secondary metabolites requires regulation at the genetic level. Here, by site- directed mutagenesis, we show that AraL production is regulated by a structure in the translation initiation region of the mRNA, which most probably blocks access to the ribosome-binding site, preventing protein synthesis. Members of HAD subfamily IIA and IIB are characterised by a broad-range and overlapping specificity that anticipated the need for regulation at the genetic level. In this study we provide evidence for the existence of a genetic regulatory mechanism controlling AraL production.

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Diffusion Kurtosis Imaging (DKI) is a fairly new magnetic resonance imag-ing (MRI) technique that tackles the non-gaussian motion of water in biological tissues by taking into account the restrictions imposed by tissue microstructure, which are not considered in Diffusion Tensor Imaging (DTI), where the water diffusion is considered purely gaussian. As a result DKI provides more accurate information on biological structures and is able to detect important abnormalities which are not visible in standard DTI analysis. This work regards the development of a tool for DKI computation to be implemented as an OsiriX plugin. Thus, as OsiriX runs under Mac OS X, the pro-gram is written in Objective-C and also makes use of Apple’s Cocoa framework. The whole program is developed in the Xcode integrated development environ-ment (IDE). The plugin implements a fast heuristic constrained linear least squares al-gorithm (CLLS-H) for estimating the diffusion and kurtosis tensors, and offers the user the possibility to choose which maps are to be generated for not only standard DTI quantities such as Mean Diffusion (MD), Radial Diffusion (RD), Axial Diffusion (AD) and Fractional Anisotropy (FA), but also DKI metrics, Mean Kurtosis (MK), Radial Kurtosis (RK) and Axial Kurtosis (AK).The plugin was subjected to both a qualitative and a semi-quantitative analysis which yielded convincing results. A more accurate validation pro-cess is still being developed, after which, and with some few minor adjust-ments the plugin shall become a valid option for DKI computation

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In any area of study, it is necessary to define the subject of investigation. In the case of evolutionary novelty this is a particularly difficult task, as a clear definition of the concept that is suitable across di↵erent levels of biological organization has yet to emerge. We proceed with a definition for morphological novelty proposed by M¨uller and Wagner (1991), and introduce the dorsal appendages on eggs of Drosophilidae as such a novelty. These structures are part of the eggshell, and help supply oxygen to the embryo. A wide variety of phenotypes can be found, which is thought to have a single origin in the common ancestor of Drosophilidae.(...)

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Salmonella enterica serovars are Gram-negative facultative intracellular bacterial pathogens that infect a wide variety of animals. Salmonella infections are common in humans, causing usually typhoid fever and gastrointestinal diseases. Salmonella enterica serovar Typhimurium (S. Typhimurium), which is a leading cause of human gastroenteritis, has been extensively used to study the molecular pathogenesis of Salmonella, because of the availability of sophisticated genetic tools, and of suitable animal and tissue culture models mimicking different aspects of Salmonella infections.(...)

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Land plant evolution required the generation of a new body plan that could resist the harsher and fluctuating environmental conditions found outside of aquatic environments. Unraveling the genetic basis of plant developmental innovations is not only revealing in terms of an evolutionary point of view, but it is also important for understanding the emergence of agronomically important traits. Comparative genetic studies between basal and modern land plants, both at the genome and trancriptome levels, can help in the generation of hypotheses related to the genetic basis of plant evolutionary development.(...)

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The obligate intracellular bacterium Chlamydia trachomatis is a human pathogen of major public health significance. Strains can be classified into 15 main serovars (A to L3) that preferentially cause ocular infections (A-C), genital infections (D-K) or lymphogranuloma venereum (LGV) (L1-L3), but the molecular basis behind their distinct tropism, ecological success and pathogenicity is not welldefined. Most chlamydial research demands culture in eukaryotic cell lines, but it is not known if stains become laboratory adapted. By essentially using genomics and transcriptomics, we aimed to investigate the evolutionary patterns underlying the adaptation of C. trachomatis to the different human tissues, given emphasis to the identification of molecular patterns of genes encoding hypothetical proteins, and to understand the adaptive process behind the C. trachomatis in vivo to in vitro transition. Our results highlight a positive selection-driven evolution of C. trachomatis towards nichespecific adaptation, essentially targeting host-interacting proteins, namely effectors and inclusion membrane proteins, where some of them also displayed niche-specific expression patterns. We also identified potential "ocular-specific" pseudogenes, and pointed out the major gene targets of adaptive mutations associated with LGV infections. We further observed that the in vivo-derived genetic makeup of C. trachomatis is not significantly compromised by its long-term laboratory propagation. In opposition, its introduction in vitro has the potential to affect the phenotype, likely yielding virulence attenuation. In fact, we observed a "genital-specific" rampant inactivation of the virulence gene CT135, which may impact the interpretation of data derived from studies requiring culture. Globally, the findings presented in this Ph.D. thesis contribute for the understanding of C.trachomatis adaptive evolution and provides new insights into the biological role of C. trachomatishypothetical proteins. They also launch research questions for future functional studies aiming toclarify the determinants of tissue tropism, virulence or pathogenic dissimilarities among C. trachomatisstrains.

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The aim of this work project is to analyze the current algorithm used by EDP to estimate their clients’ electrical energy consumptions, create a new algorithm and compare the advantages and disadvantages of both. This new algorithm is different from the current one as it incorporates some effects from temperature variations. The results of the comparison show that this new algorithm with temperature variables performed better than the same algorithm without temperature variables, although there is still potential for further improvements of the current algorithm, if the prediction model is estimated using a sample of daily data, which is the case of the current EDP algorithm.

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Contém resumo

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RESUMO: A infeção é frequente durante a doença crítica, quer como causa da doença crítica quer como complicação da sua evolução. Paradoxalmente, os avanços da medicina moderna aumentaram eles próprios o risco de infeção, ao permitir a sobrevida até idades avançadas, ao criar um novo grupo de doentes imunodeprimidos, nomeadamente doentes tratados com fármacos que interferem com as suas defesas naturais (corticóides, citostáticos), ao aumentar o tempo de vida de hospedeiros com comorbilidades debilitantes. Os antibióticos são um dos elos essenciais no tratamento da infeção. Contudo o seu uso também promove a seleção e crescimento de bactérias resistentes. Para além disso as doses convencionais de antibióticos foram selecionadas numa altura em que a resistência era um fenómeno raro e podem não ser atualmente as mais adequadas. Existe hoje muita evidência acumulada que os doentes críticos sofrem alterações da sua farmacocinética (PK) que podem facilitar a ocorrência de falência terapêutica ou de toxicidade tanto por sub como por sobredosagem de antibióticos. Essas alterações são complexas e difíceis de estudar. Finalmente, também a farmacodinâmica (PD) dos antibióticos pode estar alterada nesta população, podendo haver necessidade de ajustar os alvos terapêuticos de forma individual. O objetivo deste trabalho foi investigar a relação entre a terapêutica antibiótica, as suas características PK e PD, a carga bacteriana e o prognóstico dos doentes críticos. O plano de investigação incluiu: 1. Dados da epidemiologia portuguesa de doentes críticos com infeção; 2. Avaliação da relação entre a carga bacteriana, o tempo até ao início do tratamento antibiótico e o prognóstico dos doentes críticos; 3. Avaliação da evolução da PK durante o tratamento da infeção; 4. Um estudo multicêntrico para avaliação da eficácia da terapêutica com um β- lactâmico doseado de acordo com a relação PK/PD. Na introdução é descrita a importância dos antibióticos, a sua origem e o problema crescente das resistências bacterianas relacionadas com o seu emprego e abuso. É salientada a importância de racionalizar a posologia, de acordo com os conceitos de PK e de PD. No Capítulo 1 são apresentados dados de epidemiologia portuguesa de infeção em doentes críticos, sobretudo retirados de dois estudos prospetivos, observacionais, os quais incluíram mais de 50% da capacidade de internamento em cuidados intensivos existente em Portugal. No Capítulo 2 são descritos os conceitos de PK e as suas alterações nos doentes críticos. De seguida são revistos os conceitos de PD de antibióticos e a sua aplicação a esta população, em particular durante as infeções graves (Capítulo 3). Nos capítulos seguintes são aprofundadas estas alterações da PK nos doentes críticos e as suas causas, de forma a destacar a importância da monitorização da concentração dos antibióticos. São apresentados os dados duma revisão sistemática de PK de antibóticos nesta população (Capítulo 4), pormenorizadas as alterações da PD que comprometem a eficácia da terapêutica antibiótica, facilitam o desenvolvimento de resistências e podem levar a falência terapêutica (Capítulo 5). Consequentemente a compreensão global destas alterações, da sua relevância clínica e a revisão da evidência disponível facilitou o desenvolvimento do próprio plano global de investigação (Capítulos 6 e 7). No Capítulo 6.1 são descritos os antibióticos tempo-dependente e a importância de aumentar o seu tempo de perfusão. Foi desenhado um estudo multicêntrico para comparar a eficácia e segurança da perfusão contínua da piperacilina tazobactam (um antibiótico β-lactâmico associado a um inibidor de β-lactamases) com a mesma dose do antibiótico, administrado em dose convencional, intermitente. A importância de dosear corretamente os antibióticos concentração-dependente foi também avaliada num estudo a primeira dose dos aminoglicosídeos (Capítulo 6.2). Outras estratégias para melhorar os resultados assistenciais dos doentes infetados são abordadas no Capítulo 7, em particular a importância da terapêutica antibiótica precoce, a avaliação da carga bacteriana e a compreensão da variação da PK ao longo do tratamento da infeção. Foi desenvolvido um algoritmo de abordagem terapêutica que incluiu estas alterações da PK e da PD nos doentes críticos. Finalmente no Capítulo 8 são descritos mecanismos de desenvolvimento das resistências bacterianas bem como estratégias para a sua abordagem. O Capítulo final (Capítulo 9) aponta um plano para futuras áreas de trabalho. O elemento chave identificado neste trabalho de investigação é o reconhecimento da variabilidade significativa da PK dos antibióticos durante a doença crítica, a qual condiciona a sua posologia. Estas alterações estão relacionadas com a própria gravidade da doença e tendem a diminuir ao longo do seu tratamento. No entanto nem a gravidade da doença nem as características individuais as permitem prever de forma aceitável pelo que a utilização duma posologia universal, independente da situação clínica concreta, pode ser inadequada. As estratégias para melhorar os resultados assistenciais dos doentes críticos infetados devem ser baseadas na individualização da posologia antibiótica de acordo com os princípios da PK e da PD, preferencialmente apoiadas em doseamentos da sua concentração. ------------------------------------ ABSTRACT: Infection commonly occurred during critical illness, either as a cause or complicating the course of the disease. Advances in medicine had paradoxically increase the risk of infection, both by improving survival to older ages and by introducing a new group of immunosuppressed patients, those who are treated with drugs that interfere with their natural defenses (corticosteroids, cytostatics) and those who survived longer with aggressive diseases. Antibiotics are of paramount importance for treating infection. However the use of these drugs also promote the selection and growth of resistant bacteria. Furthermore conventional antibiotic doses were calculated for less severe patients during a time when resistance was rare. Nowadays there is increasing evidence that critically ill patients experiment altered pharmacokinetics (PK) that may lead to therapeutic failure and/or drug toxicity. Equally, such PK alterations are complex and challenging to investigate. Finally pharmacodynamics (PD) may also be different in this population and antibiotic targets may need to be tailored to the individual patient. The aim of this research was to investigate the relationship between antibiotic therapy, its PK and PD, bacterial burden and critically ill patients outcomes. The research plan comprised of: 1. Epidemiological portuguese data of critically ill infected patients; 2. Relationship between burden of bacteria, time until the start of antibiotics and patient outcomes; 3. Evaluation of PK during treatment of infection; 4. A multicentre study evaluating PK guided β-lactam therapy. The introductory chapter outlines the importance of antibiotics, its origins, the problem of increasing bacteria resistance, related to its use and overuse and the importance of rational drug dosing using PK and PD concepts. In Chapter 1 portuguese epidemiological data of infections in critically ill patients is presented, mostly coming from two prospective observational studies, encompassing more than 50% of critically ill beds available in Portugal. Chapter 2 describes the concepts of PK and the changes occurring in critically ill patients. This is followed by a review of the concepts of PD of antibiotics and its application to this population, especially during severe infections (Chapter 3). In the following chapter these changes in antibiotics PK in critical illness are and its causes are detailed, to outline the importance of therapeutic drug monitoring. Data on a systematic review of antibiotics PK in those patients is provided (Chapter 4). The following chapter (Chapter 5) elucidates important changes in PD, that compromises antibiotic therapy, facilitate the occurrence of resistance and may lead to therapeutic failure. Thus, an understanding of the clinical problem and available evidence facilitated the development of a comprehensive research plan (Chapter 6 and Chapter 7). Chapter 6.1 describes time-dependent antibiotics and the importance of extending its perfusion time. A multicenter study was designed to compare the continuous infusion of piperacillin tazobactam (a β-lactam antibiotic) with the same daily dose, prescribed in a conventional, intermittent dose. The importance of correct dosing of antibiotics was also assessed through a study addressing aminoglycoside (a concentration-dependent antibiotic) therapy (Chapter 6.2), focusing on its first dose. Strategies to improve severe infected patients outcomes were addressed in Chapter 7, namely the importance of early antibiotic therapy, assessing the burden of bacteria and understanding changes in antibiotic concentration during the course of infection. An algorithm to include all the described changes in both PK and PD of critically ill patients was developed. Finally in Chapter 8 mechanisms of the increasing resistance of bacteria are described and strategies to address that problem are proposed. The closing chapter (Chapter 9) lays a roadmap for future work. The key finding of this research is the significant variability of the antibiotics PK during critical illness, which makes dosing a challenging issue. These changes are related to the severity of the infection itself and improve through the course of the disease. However neither disease severity nor individual characteristics are useful to predict PK changes. Therefore, the use of a universal dose approach, regardless of the individual patient, may not be the best approach. Strategies to improve patients’ outcomes should be based on tailoring antibiotics to the individual patient, according to PK and PD principles, preferentially supported by therapeutic drug monitoring.

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Ship tracking systems allow Maritime Organizations that are concerned with the Safety at Sea to obtain information on the current location and route of merchant vessels. Thanks to Space technology in recent years the geographical coverage of the ship tracking platforms has increased significantly, from radar based near-shore traffic monitoring towards a worldwide picture of the maritime traffic situation. The long-range tracking systems currently in operations allow the storage of ship position data over many years: a valuable source of knowledge about the shipping routes between different ocean regions. The outcome of this Master project is a software prototype for the estimation of the most operated shipping route between any two geographical locations. The analysis is based on the historical ship positions acquired with long-range tracking systems. The proposed approach makes use of a Genetic Algorithm applied on a training set of relevant ship positions extracted from the long-term storage tracking database of the European Maritime Safety Agency (EMSA). The analysis of some representative shipping routes is presented and the quality of the results and their operational applications are assessed by a Maritime Safety expert.