Assembling a xylanase-lichenase chimera through all-atom molecular dynamics simulations

Multifunctional enzyme engineering can improve enzyme cocktails for emerging biofuel technology. Molecular dynamics through structure-based models (SB) is an effective tool for assessing the tridimensional arrangement of chimeric enzymes as well as for inferring the functional practicability before experimental validation. This study describes the computational design of a bifunctional xylanase-lichenase chimera (XylLich) using the xynA and bglS genes from Bacillus subtilis. In silico analysis of the average solvent accessible surface area (SAS) and the root mean square fluctuation (RMSF) predicted a fully functional chimera, with minor fluctuations and variations along the polypeptide chains. Afterwards, the chimeric enzyme was built by fusing the xynA and bglS genes. XylLich was evaluated through small-angle X-ray scattering (SAXS) experiments, resulting in scattering curves with a very accurate fit to the theoretical protein model. The chimera preserved the biochemical characteristics of the parental enzymes, with the exception of a slight variation in the temperature of operation and the catalytic efficiency (k cat/Km). The absence of substantial shifts in the catalytic mode of operation was also verified. Furthermore, the production of chimeric enzymes could be more profitable than producing a single enzyme separately, based on comparing the recombinant protein production yield and the hydrolytic activity achieved for XylLich with that of the parental enzymes. © 2013 Elsevier B.V. All rights reserved.

Identificação e caracterização de promotores de genes de café (coffea arabica)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Espécies crípticas em Paracoccidioides brasiliensis: diferenciação antigênica e de resposta a fatores estressantes

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Caracterização de promotores de Eucalipto com expressão tecido-específica: raiz e folha

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

Caracterização da proteina LaRbp38: mapeamento do domínio de interação com ácidos nucléicos e identificação de possíveis proteínas parceiras

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

Análise da ocorrência de transposição em regiões reguladoras dos genes da família Cyp em espécies de Drosophila

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

Expressão da trealose-6-fosfato sintase (TPS) em cana-de-açúcar (Saccharum spp) sob estresse hídrico

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Predição computacional de promotores em Xanthomonas axonopodis pv. citri

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise por ferramentas de bioinformática da proteína não-estrutural 5A do vírus da hepatite C genótipo 1 e 3 em amostras pré-tratamento

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise da expressão dos genes da subfamília DREB em resposta à seca em plantas de Coffea canephora Conilon

Coffea canephora is one of the most economically important coffee species and in Brazil, Conilon is the most widely cultivated plant of this species. Abiotic stresses such as temperature variations and drought periods are factors that significantly affect their production and tend to worsen with globally recognized climate changes. In an attempt to understand the molecular responses of coffee plants in water deficit conditions, recent studies have identified candidate genes (CGs) as CcDREB1D. This gene showed increased expression in response to drought in the leaves of clone 14 (drought tolerant) in relation to the clone 22 (sensitive to drought) of C. canephora Conilon. Based on these results, the identification of DREB genes and their subgroups (SGs) of C. canephora, the objective is to analyze in silico and also in vivo these genes expression in leaf and root of tolerant (14, 73 and 120) and sensitive clones (22) of C. canephora Conilon submitted or not to a water deficit. In silico expressions of all DREB genes were analyzed from the Coffee Genome Hub Database and in vivo expression was performed by the technique "reverse transcription-quantitative PCR" (RT-qPCR). In silico gene expression analysis was possible to identify DREB genes with potential responses to abiotic stresses, corroborating some validated in vivo results. In this analysis, several genes showed differential expression in response to drought among the SGs (IIV), the tolerant and sensitive clones and the leaf and root. These differentially expressed genes were identified as potential CGs and among them, it was found that most tolerant clones showed increased expression in relation to sensitive in response to drought, with higher expression levels for clones 14 and 73. These highest levels were observed in leaves compared to the roots and SG-I stood at greater number of genes expressed in response to drought. These results suggest that DREB CGs, as Cc05_g06840, Cc02_g03420 e Cc08_g13960, play an important role in the regulatory mechanisms of response to drought in C. canephora Conilon.

Utilização da técnica hifenada CLAE-DAD-IES-EM na detecção e caracterização de substâncias em Ocotea paranapiacabensis e Aniba firmula (Lauraceae)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estratégias de inibição, mecanismos moleculares e interações intermoleculares em complexos macromoleculares

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

Estudo de genes envolvidos no processo de adesão do Acidithiobacillus ferrooxidans em calcopirita (CuFe'S.IND.2')

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Integrando citogenética e genômica em estudos comparativos entre peixes ciclídeos e outros vertebrados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Isolamento e caracterização de promotores órgão-específicos a partir de informações do Banco FORESTs (Eucalyptus Genome Sequencing Project Consortium)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)