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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Biodegrada??o de hidrocarbonetos arom?ticos polic?clicos: prospec??o metagen?mica e modelagem computacional 3-D de prote?nas

Sousa, Bruno Gomes de 23 May 2011 (has links)
Made available in DSpace on 2014-12-17T14:10:23Z (GMT). No. of bitstreams: 1 BrunoGS_DISSERT_partes autorizadas.pdf: 2090858 bytes, checksum: 96c920960475d5970880d27da7b95ada (MD5) Previous issue date: 2011-05-23 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / Knowledge of the native prokaryotes in hazardous locations favors the application of biotechnology for bioremediation. Independent strategies for cultivation and metagenomics contribute to further microbiological knowledge, enabling studies with non-cultivable about the "native microbiological status and its potential role in bioremediation, for example, of polycyclic aromatic hydrocarbons (HPA's). Considering the biome mangrove interface fragile and critical bordering the ocean, this study characterizes the native microbiota mangrove potential biodegradability of HPA's using a biomarker for molecular detection and assessment of bacterial diversity by PCR in areas under the influence of oil companies in the Basin Petroleum Geology Potiguar (BPP). We chose PcaF, a metabolic enzyme, to be the molecular biomarker in a PCR-DGGE detection of prokaryotes that degrade HPA s. The PCR-DGGE fingerprints obtained from Paracuru-CE, Fortim-CE and Areia Branca-RN samples revealed the occurrence of fluctuations of microbial communities according to the sampling periods and in response to the impact of oil. In the analysis of microbial communities interference of the oil industry, in Areia Branca-RN and Paracuru-CE was observed that oil is a determinant of microbial diversity. Fortim-CE probably has no direct influence with the oil activity. In order to obtain data for better understanding the transport and biodegradation of HPA's, there were conducted in silico studies with modeling and simulation from obtaining 3-D models of proteins involved in the degradation of phenanthrene in the transport of HPA's and also getting the 3-D model of the enzyme PcaF used as molecular marker in this study. Were realized docking studies with substrates and products to a better understanding about the transport mechanism and catalysis of HPA s / O conhecimento sobre os procariotos nativos em locais de risco favorece a aplica??o de biotecnologias para biorremedia??o. Estrat?gias independentes de cultivo, como metagen?mica, contribuem para aprofundar o conhecimento microbiol?gico, possibilitando estudos com organismos n?o cultiv?veis acerca do status microbiol?gico nativo e seu potencial papel na biodegrada??o de, por exemplo, Hidrocarbonetos Arom?ticos Polic?clicos (HAP s). Considerando o bioma de mangue uma interface fr?gil e cr?tica de fronteira com o oceano, este trabalho caracteriza a microbiota nativa de mangue com potencial biodegradador de HAP s utilizando um biomarcador molecular para detec??o e avalia??o da diversidade bacteriana em ?reas sob influ?ncia de ind?strias petrol?feras atrav?s da PCR-DGGE na Bacia Petrol?fera Potiguar (BPP). Foi escolhido um biomarcador molecular metab?lico, enzima PcaF, para detec??o de procariotos degradadores de HAP s. Com o biomarcador, fingerprints foram obtidos de amostras de Paracuru-CE, Fortim-CE e Areia Branca-RN, revelando a ocorr?ncia de flutua??es das comunidades microbianas de acordo com os per?odos de amostragem e em resposta ao impacto por petr?leo. Atrav?s da an?lise das comunidades microbianas frente ? interfer?ncia da ind?stria do petr?leo, em Areia Branca-RN e Paracuru-CE foi observado que o petr?leo ? determinante para a diversidade microbiana. Fortim-CE provavelmente n?o tem influ?ncia direta da atividade petrol?fera. No intuito de obter dados para o melhor entendimento do transporte e biodegrada??o de HAP s, foram desenvolvidos estudos in silico de modelagem e simula??o computacional a partir da obten??o de modelos 3-D de prote?nas envolvidas na degrada??o do fenantreno, no transporte de HAP s e tamb?m a obten??o do modelo 3-D da enzima PcaF. Estudos de dockings com substratos e produtos forneceram dados para o melhor entendimento sobre o mecanismo de transporte e cat?lise de HAP s

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