• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Master's Dissertation
DOI
10.11606/D.87.2009.tde-14082009-111609
Document
Author
Full name
Roberta Novaes Amorim Almeida
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2009
Supervisor
Committee
Schneider, Rene Peter (President)
Rivera, Irma Nelly Gutierrez
Spira, Beny
Title in Portuguese
Desenvolvimento, validação e aplicação de método molecular baseado na análise do rRNA para a identificação das bactérias formadoras de biofilme metabolicamente ativas na superfície das membranas de osmose reversa.
Keywords in Portuguese
Biofilmes
Biofouling
Biotecnologia
Comunidades microbiana
Metabolismo (Atividade)
Osmose reversa
rRNA 16S
Abstract in Portuguese
Um método baseado na extração de rRNA, seguido de RT-PCR rRNA 16S, clonagem e ARDRA foi otimizado e validado para a identificação das bactérias ativas em biofilmes. O método foi analisado primeiro com consórcios artificiais de três organismos. As etapas de clonagem e RT não causaram variações importantes na composição destes consórcios, do contrário da etapa de PCR, onde foi necessária a redução de 30 para 10 ciclos para limitar a distorção da proporção de templates. A análise de biofilmes reais indicou que clones dominantes podem ser identificados com o critério de ocorrência de >2% na biblioteca, mas que a reprodutibilidade de análises ainda é insatisfatória, possivelmente devido a fatores como a micro heterogeneidade espacial do biofilme, viés na reação de PCR e formação de mais de um clone de ARDRA por organismo. O armazenamento do biofilme a -20 °C por 2 meses não levou à alterações expressivas em sua composição. O perfil de clones detectado com o kit (Mo Bio) de extração de RNA foi muito diferente do perfil detectado com o método otimizado neste trabalho.
Title in English
Development, validation and application of molecular method based on extraction, amplification and sequencing of the rRNA for the identification of biofilm-forming bacteria on the surface of the reverse osmosis membranes.
Keywords in English
16S rRNA
Biofilms
Biotechnology
Metabolism (Activity)
Microbial communities
Reverse osmosis
\"Biofouling\"
Abstract in English
A method based on extraction of rRNA, followed by RT-PCR of 16S rRNA, cloning and ARDRA was optimized and validated for identification of bacteria active in biofilms. The method was first tested with artificial three-membered consortia. Cloning and RT did not lead to significant changes in the composition of the artificial consortia, but a reduction in cycle number in the PCR reaction from 30 to 10 was necessary for limiting the distortion in the proportion of amplicons relative to that of the templates. Analysis of real biofilms revealed that clones from active organisms occurred in frequencies >2% in the clone library, but reproducibility of analysis was unsatisfactory, probably due to factors such as the spatial heterogeneity of colonization of biofilms by microbes, PCR bias and more than one ARDRA clone per organism. Storage of biofilm samples at -20 °C for 2 months did not lead to important changes in composition. Very different clone profiles were obtained in the analysis of the same biofilm sample with the optimized method and with a kit (Mo Bio) for extraction of RNA.
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
Publishing Date
2009-08-26
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors
Centro de Informática de São Carlos
Digital Library of Theses and Dissertations of USP. Copyright © 2001-2021. All rights reserved.