• 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
 
 
Doctoral Thesis
DOI
10.11606/T.42.2013.tde-25062014-154208
Document
Author
Full name
Carla Torres Braconi
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2013
Supervisor
Committee
Zanotto, Paolo Marinho de Andrade (President)
Mendonça, Ronaldo Zucatelli
Pierulivo, Enrique Mario Boccardo
Ventura, Armando Morais
Wolff, José Luiz Caldas
Title in Portuguese
Proteoma do baculovírus Anticarsia gemmatalis múltiplo nucleopoliedrovírus em linhagens celulares distintas e comparação da proteína de envelope GP64 em variantes geográficos.
Keywords in Portuguese
Baculoviridae
Controle biológico
Fenótipos
Genomas
Variação genética
Abstract in Portuguese
A família Baculoviridae é um grande grupo de vírus com cerca de 700 espécies de insetos hospedeiros, com dois fenótipos: o ODV (occlusion derived virion), que faz a infecção primária do intestino médio; e o BV (budded virus), responsável pela infecção sistêmica. No Brasil, o nucleopoliedrovírus Anticarsia gemmatalis (AgMNPV) é utilizado como controle biológico da lagarta-da-soja Anticarsia gemmatalis. O genoma do AgMNPV-2D contém 152 ORFs, 26 das quais codificam proteínas estruturais. Entre elas, a glicoproteína GP64 é fundamental para infecção secundária. Este estudo visa identificar proteínas estruturais do AgMNPV-2D por duas abordagens de espectrometria de massas. Também comparar a variabilidade da gp64 de isolados geográficos por sequenciamento por Sanger e de alta cobertura. Assim, identificamos as substituições de gp64 e vimos que ela não suporta a separação geográfica dos isolados. Também identificamos 44 e 33 proteínas em ODV e BV, respectivamente. Seis novas proteínas foram identificadas no ODV e sete delas no BV. Além disso, 11 proteínas celulares foram identificadas no AgMNPV-2D, possivelmente necessárias para infecção. Este achado contribui para o entendimento da morfogênese do AgMNPV e fatores associados à multiplicação viral.
Title in English
The baculovirus Anticarsia gemmatalis multiple nucleopolyhedrovirus proteome and the comparison of multiple isolated envelope proteins GP64.
Keywords in English
Baculoviridae
Biological control
Genetic variation
Genomes
Phenotypes
Abstract in English
Baculoviridae are arthropod-specific viruses with more than 700 host insects, which produce two phenotypes: the budded virus (BV) and, the occlusion-derived virus (ODV) for intra and across host spread, respectively. Brazil uses the Anticarsia gemmatalis multiple nucleopolyhedrovirus (AgMNPV) as a biological control agent of the velvet bean caterpillar (A. gemmatalis). The genome of the AgMNPV-2D carries 152 ORFs, 26 of which code for structural proteins. Herein, the structural proteins of AgMNPV-2D were analyzed by two mass spectrometry techniques. The additional objective was to compare the gene gp64. of different geographical populations by Sanger and next generation sequencing. This analysis allowed us to observe the substitutions of gp64 and refuted the notion of a geographical isolation of the samples. We also observed a total of 44 proteins of the ODV and 33 of the BV. Six new proteins were found in the ODV and seven in the BV. Furthermore, 11 cellular proteins were also identified, which are possibly assorted during viral morphogenesis. These findings may provide novel insights into AgMNPV biology and its host interaction, leading us to a better understanding about morphogenesis and also the associated factors of the viral multiplication.
 
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
2014-06-28
 
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 © 2001-2020. All rights reserved.