Venancio:Research

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The group was created in October/2010. For other publications related to our current work, please check [[Venancio:Thiago_Motta_Venancio| Thiago's web page]].
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== Ongoing projects (highly summarized) | Projetos em andamento (bem resumidamente) ==
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O grupo foi criado em Outubro/2010. Para outras publicações relacionadas ao nosso trabalho atual, por favor cheque a [[Venancio:Thiago_Motta_Venancio| página do Thiago]].<p>
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<li> '''Evolution of the ubiquitin system.''' We aim to understand how the ubiquitin system evolved across different lineages. We integrate protein interaction, genetic, gene expression and comparative genomics data to investigate different aspects of the ubiquitin pathway. Special focus has been given to plants.<p></p>
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<li> '''Soybean transcriptome.''' Here we integrate different gene expression datasets with the recently sequence soybean genome to find important regulatory pathways and how they evolved in the soybean lineage. Also, we want to understand what is the impact of whole genome duplications (polyploidization) in this process. We will also generate novel gene expression dataset for critical conditions and developmental stages.<p></p>
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* lab members are marked in bold | membros do grupo representados em negrito <br>
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2) Souza AJ, Ferreira AT, Perales J, Beghini DG, Fernandes KV, Xavier-Filho J, '''Venancio TM''', Oliveira AE. Identification of Albizia lebbeck seed coat chitin-binding vicilins (7S globulins) with high toxicity to the larvae of the bruchid Callosobruchus maculatus.[http://www.ncbi.nlm.nih.gov/pubmed/22267002 Braz J Med Biol Res 2012] <br>
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<li> '''Evolution of essential genes.''' We want to understand what makes a gene essential in eukaryotic and prokaryotic genomes. Conditional essentiality and evolution of essential gene families are key aspects of our studies.<p></p>
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1) Jacinto DS, Muniz Hdos S, '''Venancio TM''', Wilson RA, Verjovski-Almeida S, Demarco R. Curupira-1 and Curupira-2, two novel Mutator-like DNA transposons from the genomes of human parasites Schistosoma mansoni and Schistosoma japonicum. [http://www.ncbi.nlm.nih.gov/pubmed/21756422 Parasitology 2011]
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<li> '''Identification of candidate genetic markers.''' Genomes of economically important plants are being investigated to identify genetic markers (e.g. microsatellites) that will be classified and ranked to further genetic experiments performed by our collaborators.<p></p>
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<li> '''Evolution of chemical tolerance mechanisms.''' Yeast chemical genetics datasets are integrated and explored using comparative genomics and systems biology approaches to understand the evolutionary basis of chemical stress resistance.

Revision as of 16:35, 24 September 2012

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Ongoing projects (highly summarized) | Projetos em andamento (bem resumidamente)

  • Evolution of the ubiquitin system. We aim to understand how the ubiquitin system evolved across different lineages. We integrate protein interaction, genetic, gene expression and comparative genomics data to investigate different aspects of the ubiquitin pathway. Special focus has been given to plants.

  • Soybean transcriptome. Here we integrate different gene expression datasets with the recently sequence soybean genome to find important regulatory pathways and how they evolved in the soybean lineage. Also, we want to understand what is the impact of whole genome duplications (polyploidization) in this process. We will also generate novel gene expression dataset for critical conditions and developmental stages.

  • Evolution of essential genes. We want to understand what makes a gene essential in eukaryotic and prokaryotic genomes. Conditional essentiality and evolution of essential gene families are key aspects of our studies.

  • Identification of candidate genetic markers. Genomes of economically important plants are being investigated to identify genetic markers (e.g. microsatellites) that will be classified and ranked to further genetic experiments performed by our collaborators.

  • Evolution of chemical tolerance mechanisms. Yeast chemical genetics datasets are integrated and explored using comparative genomics and systems biology approaches to understand the evolutionary basis of chemical stress resistance.
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