Metagenômica: busca de novos genes envolvidos com a biodegradação de hidrocarbonetos

Industrial activities, oil spills and its derivatives, as well as the incomplete combustion of fossil fuels have caused a great accumulation of hydrocarbons in the environment. The number of microorganisms on the planet is estimated at 1030 and prokaryotes the most abundant. They colonized diverse environments for thousands of years, including those considered extreme and represent an untapped source of metabolic and genetic diversity with a large biotechnological potential. It is also known that certain microorganisms have the enzymatic capacity to degrade petroleum hydrocarbons and, in many ecosystems, there is an indigenous community capable of performing this function. The metagenomic has revolutionized the microbiology allowing access uncultured microbial communities, being a powerful tool for elucidation of their ecological functions and metabolic profiles, as well as for identification of new biomolecules. Thus, this study applied metagenomic approaches not only for functional selection of genes involved in biodegradation and emulsification processes of the petroleum-derived hydrocarbons, but also to describe the taxonomic and metabolic composition of two metagenomes from aquatic microbiome. We analyzed 123.116 (365 ± 118 bp) and 127.563 sequences (352 ± 120 bp) of marine and estuarine metagenomes, respectively. Eight clones were found, four involved in the petroleum biodegradation and four were able to emulsify kerosene indicating their abilities in biosurfactants synthesis. Therefore, the metagenomic analyses performed were efficient not only in the search of bioproducts of biotechnological interest and in the analysis of the functional and taxonomic profile of the metagenomes studied as well

Transcription of the Hsp30, Hsp70, and Hsp90 heat shock protein genes is modulated by the PalA protein in response to acid pH-sensing in the fungus Aspergillus nidulans

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

Predição de promotores de Bacillus subtilis usando técnicas de aprendizado de máquina

One of the most important goals of bioinformatics is the ability to identify genes in uncharacterized DNA sequences on world wide database. Gene expression on prokaryotes initiates when the RNA-polymerase enzyme interacts with DNA regions called promoters. In these regions are located the main regulatory elements of the transcription process. Despite the improvement of in vitro techniques for molecular biology analysis, characterizing and identifying a great number of promoters on a genome is a complex task. Nevertheless, the main drawback is the absence of a large set of promoters to identify conserved patterns among the species. Hence, a in silico method to predict them on any species is a challenge. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. In this work, we present an empirical comparison of Machine Learning (ML) techniques such as Na¨ýve Bayes, Decision Trees, Support Vector Machines and Neural Networks, Voted Perceptron, PART, k-NN and and ensemble approaches (Bagging and Boosting) to the task of predicting Bacillus subtilis. In order to do so, we first built two data set of promoter and nonpromoter sequences for B. subtilis and a hybrid one. In order to evaluate of ML methods a cross-validation procedure is applied. Good results were obtained with methods of ML like SVM and Naïve Bayes using B. subtilis. However, we have not reached good results on hybrid database

Polymer induced condensation of DNA supercoils

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Cloning, expression, purification and characterization of recombinant glutathione-S-transferase from Xylella fastidiosa

Xylella fastidiosa is an important pathogen bacterium transmitted by xylem-feedings leafhoppers that colonizes the xylem of plants and causes diseases on several important crops including citrus variegated chlorosis (CVC) in orange and lime trees. Glutathione-S-transferases (GST) form a group of multifunctional isoenzymes that catalyzes both glutathione (GSH)-dependent conjugation and reduction reactions involved in the cellular detoxification of xenobiotic and endobiotic compounds. GSTs are the major detoxification enzymes found in the intracellular space and mainly in the cytosol from prokaryotes to mammals, and may be involved in the regulation of stress-activated signals by suppressing apoptosis signal-regulating kinase 1. In this study, we describe the cloning of the glutathione-S-transferase from X. fastidiosa into pET-28a(+) vector, its expression in Escherichia coli, purification and initial structural characterization. The purification of recombinant xfGST (rxfGST) to near homogeneity was achieved using affinity chromatography and size-exclusion chromatography (SEC). SEC demonstrated that rxfGST is a homodimer in solution. The secondary and tertiary structures of recombinant protein were analyzed by circular dichroism and fluorescence spectroscopy, respectively. The enzyme was assayed for activity and the results taken together indicated that rxfGST is a stable molecule, correctly folded, and highly active. Several members of the GST family have been extensively studied. However, xfGST is part of a less-studied subfamily which yet has not been structurally and biochemically characterized. In addition, these studies should provide a useful basis for future studies and biotechnological approaches of rxfGST. (C) 2008 Elsevier B.V. All rights reserved.

Developing new radiotherapy techniques using linac based gamma radiation sources

A major challenge in cancer radiotherapy is to deliver a lethal dose of radiation to the target volume while minimizing damage to the surrounding normal tissue. We have proposed a model on how treatment efficacy might be improved by interfering with biological responses to DNA damage using exogenous electric fields as a strategy to drastically reduce radiation doses in cancer therapy. This approach is demonstrated at this Laboratory through case studies with prokaryotes (bacteria) and eukaryotes (yeast) cells, in which cellkilling rates induced by both gamma radiation and exogenous electric fields were measured. It was found that when cells exposed to gamma radiation are immediately submitted to a weak electric field, cell death increases more than an order of magnitude compared to the effect of radiation alone. This finding suggests, although does not prove, that DNA damage sites are reached and recognized by means of long-range electric DNA-protein interaction, and that exogenous electric fields could destructively interfere with this process. As a consequence, DNA repair is avoided leading to massive cell death. Here we are proposing the use this new technique for the design and construction of novel radiotherapy facilities associated with linac generated gamma beams under controlled conditions of dose and beam intensity.

From cytoplasm to environment: The inorganic ingredients for the origin of life

Early in its history, Earth's surface developed from an uninhabitable magma ocean to a place where life could emerge. The first organisms, lacking ion transporters, fixed the composition of their cradle environment in their intracellular fluid. Later, though life adapted and spread, it preserved some qualities of its initial environment within. Modern prokaryotes could thus provide insights into the conditions of early Earth and the requirements for the emergence of life. In this work, we constrain Earth's life-forming environment through detailed analysis of prokaryotic intracellular fluid. Rigorous assessment of the constraints placed on the early Earth environment by intracellular liquid will provide insight into the conditions of abiogenesis, with implications not only for our understanding of early Earth but also the formation of life elsewhere in the Universe. Copyright © 2013, Mary Ann Liebert, Inc. 2013.

Filogenia molecular de cianobactérias baseada em sequências do 16S-23S-ITS rDNA e PC-IGS: investigação de transferência lateral do PC

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

Peptídeos inibidores de topoisomerases bacterianas: síntese e estudos de transporte através da membrana celular empregando moléculas peptídicas carreadoras

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Diversidade bacteriana em um latossolo sob cultivo intensivo e floresta através da análise metagenômica

Pós-graduação em Microbiologia Agropecuária - FCAV

Clonagem, expressão e caracterização de duas lipoxigenases de Shewanella woodyi

Pós-graduação em Microbiologia Agropecuária - FCAV

Impacto do lodo de esgoto na comunidade bacteriana do solo: avaliação por microarranjo de DNA

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Busca e classificação sistemática das proteínas oxigenases com ferro não hêmico em plantas

As proteínas oxigenases com ferro não hêmico compartilham um domínio conservado composto por oito histidinas, podem ser encontradas em organismos eucariotos e procariotos, e participam de importantes vias de biossíntese lipídica. Para compreender a relação evolutiva existente entre essas proteínas, foram realizadas análises comparativa e filogenética em procariotos e eucariotos que permitiram uma classificação dessa família, até então inexistente. A busca de seqüências resultou, após a curadoria, em uma coleção de 448 proteínas, pertencentes a 58 organismos previamente selecionados dentro dos principais taxa. O alinhamento múltiplo de seqüências gerado com a ferramenta MAFFT (BLOSUM 62; L-INS-i) mostrou a presença do domínio de histidinas com espaçamento conservado entre os motivos. A classificação das proteínas feita com o software CLANS gerou 28 grupos a partir da similaridade entre pares de seqüências. Dentre esses, 2 contêm seqüências que não tiveram similaridade com proteínas já caracterizadas e 48 seqüências não foram atribuídas a quaisquer dos grupos formados. As seqüências de plantas, representadas por 119 seqüências da coleção, foram distribuídas em 7 grupos correspondentes às funções C4 metilesterol monoxigenase, C5 esterol desaturase, ácido graxo hidroxilase, esfingolipídeo C4 monooxigenase, aldeído decarbonilase, β-caroteno hidroxilase e Acil-ACP desaturase. A análise filogenética, utilizando o método de máxima verossimilhança com a ferramenta PhyML, mostrou a formação de grupos bem definidos e que foram similares aos gerados por CLANS. Esses resultados começam a preencher a lacuna existente até o momento acerca da relação evolutiva e da classificação das oxigenases com ferro não hêmico. Além disso, sugerem que dentro dessa família ainda há proteínas com funções desconhecidas, reforçando a necessidade de realizar mais estudos de caracterização funcional das mesmas.

Funcionalidade das proteínas ParA e ParB na segregação cromossômica de Xanthomonas citri ssp citri

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

Comunidade bacteriana em viveiros de aquicultura

Pós-graduação em Microbiologia Agropecuária - FCAV