293 resultados para Saccharomyces cerevisiae -- Physiology


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Biological processes are complex and possess emergent properties that can not be explained or predict by reductionism methods. To overcome the limitations of reductionism, researchers have been used a group of methods known as systems biology, a new interdisciplinary eld of study aiming to understand the non-linear interactions among components embedded in biological processes. These interactions can be represented by a mathematical object called graph or network, where the elements are represented by nodes and the interactions by edges that link pair of nodes. The networks can be classi- ed according to their topologies: if node degrees follow a Poisson distribution in a given network, i.e. most nodes have approximately the same number of links, this is a random network; if node degrees follow a power-law distribution in a given network, i.e. small number of high-degree nodes and high number of low-degree nodes, this is a scale-free network. Moreover, networks can be classi ed as hierarchical or non-hierarchical. In this study, we analised Escherichia coli and Saccharomyces cerevisiae integrated molecular networks, which have protein-protein interaction, metabolic and transcriptional regulation interactions. By using computational methods, such as MathematicaR , and data collected from public databases, we calculated four topological parameters: the degree distribution P(k), the clustering coe cient C(k), the closeness centrality CC(k) and the betweenness centrality CB(k). P(k) is a function that calculates the total number of nodes with k degree connection and is used to classify the network as random or scale-free. C(k) shows if a network is hierarchical, i.e. if the clusterization coe cient depends on node degree. CC(k) is an indicator of how much a node it is in the lesse way among others some nodes of the network and the CB(k) is a pointer of how a particular node is among several ...(Complete abstract click electronic access below)

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This paper presents a study of the applicability of adsorption isotherms, known as Langmuir and Freundlich isotherm, between the biosorptive interaction of yeast lyophilized Saccharomyces cerevisiae and textile dyes. To that end, we prepared stock solutions of the textile dyes Direct Red 23 and Direct Red 75 in the concentration of 1.000μg/mL and a yeast suspension at 2,5%. We did experiments for two cases, firstly for the case that we have a fix concentration of yeast at 0,500mg/mL and an variable concentration of dye range from40, 50, 60, 80 and 100μg/mL, then for the case that we fixed the concentration of dye at 100μg/mL and the yeast concentration was variable range from 0,250, 0,500, 0,750, 1,000, 1,250mg/mL. For the dye Direct Red 23 we did analysis in the pH 2,5, 4,5 and 6,5; for the Direct Red 75, we just did for the pH 2,5. We leave the dye solution in contact with the yeast for 2 hours at a constant temperature of 30°C and then centrifuged and analyzed the sample in a spectrophotometer and finally made and analysis of parameters for the removal and study of the isotherms. After the biosorption, was observed that for the Direct Red 23 in the pH 2,5 was needed 1,407mg/mL of yeast for total removal, while for the pH 4,5 was needed 8,806mg/mL and in pH 6,5 was 9,286mg/mL; for the Direct Red 75 in pH 2,5 was needed 1,337mg/mL. This difference can be explain by the adsorption isotherms, was observed that in the case when the yeast was fix when we had in a acid pH the behavior of the system was compatible with the Langmuir isotherm, and thus, an monolayer pattern. And that when we decrease the acidity of the medium the system became more compatible with a Freundlich isotherm, and thus, a multilayer pattern; for the case that the yeast was variable this is not much evident, however for the pH 2,5 she became compatible with a Langmuir isotherm... (Complete abstract click electronic access below)

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The reducionism method has helped in the clari cation of functioning of many biological process. However, such process are extremely complex and have emergent properties that can not be explained or even predicted by reducionism methods. To overcome these limits, researchers have been used a set of methods known as systems biology, a new area of biology aiming to understand the interactions between the multiple components of biological processes. These interactions can be represented by a mathematical object called graph or network, where the interacting elements are represented by a vertex and the interactions by edges that connect a pair of vertexes. Into graphs it is possible to nd subgraphs, occurring in complex networks at numbers that are signi cantly higher than those in randomized networks, they are de ned as motifs. As motifs in biological networks may represent the structural units of biological processess, their detection is important. Therefore, the aim of this present work was detect, count and classify motifs present in biological integrated networks of bacteria Escherichia coli and yeast Saccharomyces cere- visiae. For this purpose, we implemented codes in MathematicaR and Python environments for detecting, counting and classifying motifs in these networks. The composition and types of motifs detected in these integrated networks indicate that such networks are organized in three main bridged modules composed by motifs in which edges are all the same type. The connecting bridges are composed by motifs in which the types of edges are diferent

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O fator de início da tradução de eucariotos eIF5A é uma proteína essencial para a viabilidade celular, altamente conservada em arqueas e em eucariotos e apresenta uma modificação pós-traducional única em que um resíduo específico de lisina é modificado para o aminoácido hipusina. O processo de hipusinação é essencial para a função de eIF5A e consequentemente para a viabilidade celular. eIF5A foi descrita inicialmente como um fator de início da tradução, pois estimula a síntese de metionil-puromicina in vitro, porém, dados recentes de nosso e de outros grupos mostraram um papel para eIF5A na etapa de elongação da tradução. eIF5A é um homólogo estrutural do fator de elongação da tradução P (EF-P) de bactérias. EF-P também estimula a síntese de metionil-puromicina, sendo essencial para viabilidade celular em bactérias, além disso EF-P também apresenta uma modificação pós-traducional semelhante à hipusinação. Recentemente, em nosso laboratório, foi isolado o RNA transportador de alanina (tRNAAla) como supressor do fenótipo de sensibilidade a temperatura do mutante tif51AQ22H/L93F de eIF5A, sugerindo uma possível correlação funcional entre estes fatores. Tendo em vista a homologia estrutural entre eIF5A e EF-P e a possível homologia funcional entre estes fatores, pretende-se entender a relação de eIF5A com o tRNA de alanina e com isso contribuir para a caracterização do papel específico desta proteína na elongação da tradução. Portanto, foram clonados diferentes genes que codificam para diversos tRNA´s (glicina, leucina, prolina, metionina e fenilalanina) para averiguar se a supressão observada para o tRNA de alanina também pode ser vista com estes outros tRNA’s ou se é específica. Considerando-se que eIF5A foi descrita a mais de trinta anos sem que sua função específica fosse caracterizada, este estudo pode contribuir... (Resumo completo, clicar acesso eletrônico abaixo)

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O fator de início da tradução de eucariotos 5A (eIF5A) é uma proteína essencial para a viabilidade celular, altamente conservada em arqueas e eucariotos e apresenta uma modificação pós-traducional única em que um resíduo específico de lisina é modificado para o aminoácido hipusina. O processo de hipusinação é essencial para a função de eIF5A e consequentemente para viabilidade celular. eIF5A foi descrita inicialmente como um fator de início da tradução pois estimula a síntese de metionil-puromicina in vitro, porém, dados de nosso e de outro laboratório mostraram um papel para eIF5A na etapa de elongação da tradução. eIF5A é um homólogo estrutural do fator de elongação da tradução P (EF-P) de bactérias. EF-P também estimula a síntese de metionil-puromicina, sendo essencial para viabilidade celular em algumas espécies de bactérias. Dados recentes mostram que EF-P, bem como eIF5A participam na etapa de elongação da tradução facilitando a tradução de sequências de parada, “stalling motifs”. Foi isolado, em nosso laboratório, o gene que codifica para o tRNA de alanina como supressor do fenótipo de sensibilidade a temperatura do mutante tif51AK56A, sugerindo uma possível correlação funcional entre estes genes. Para compreender o mecanismo de supressão e estudar a relação com outros tRNAs este estudo foi proposto e realizado.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Biotecnologia - IQ

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In this study, we evaluated the efficiency of six isolates of Saccharomyces cerevisiae in controlling Colletotrichum acutatum, the causal agent of postbloom fruit drop that occur in pre-harvest citrus. We analyzed the mechanisms of action involved in biological control such as: production of antifungal compounds, nutrient competition, detection of killer activity, and production of hydrolytic enzymes of the isolates of S. cerevisiae on C. acutatum and their efficiency in controlling postbloom fruit drop on detached citrus flowers. Our results showed that all six S. cerevisiae isolates produced antifungal compounds, competed for nutrients, inhibited pathogen germination, and produced killer activity and hydrolytic enzymes when in contact with the fungus wall. The isolates were able to control the disease when detached flowers were artificially inoculated, both preventively and curatively. In this work we identified a novel potential biological control agent for C acutatum during pre-harvest. This is the first report of yeast efficiency for the biocontrol of postbloom fruit drop, which represents an important contribution to the field of biocontrol of diseases affecting citrus populations worldwide. (C) 2015 Elsevier GmbH. All rights reserved.