INVESTIGADORES
MARANI mariela Mirta
congresos y reuniones científicas
Título:
Theoretical prediction of Cry1Ab16 peptides as molecular markers for the detection of genetically modified maize using biosensors.
Autor/es:
COHELO ANDREIA R.; COSTA JOANA B.; MARANI MARIELA M.; SILVA V.C.; RAMOS-JESÚS JOILSON; LIMA F. C.A.; MAFRA ISABEL ; OLIVEIRA MARÍA B.P.P.; BARROSO MARÍA F.; DELERUE-MATOS MARÍA C.; LEITE JOSÉ R. S. A.
Lugar:
Parnaíba
Reunión:
Workshop; Biosensors & Biotechnology. Proteomics and Nanobiosensors: A new concept for GMO assessment.; 2014
Institución organizadora:
Universidad Federal do Piauí-BIOTEC
Resumen:
 Maize is the second most cultivated genetically modified (GM) crop, corresponding to 32% of the global biotechnological area of 175 million hectares in 2013. In the European Union (EU) and worldwide, maize has the highest number of authorized GM events (136), including mainly the traits of insect resistance and herbicide tolerance to (e.g. ghyphosate). The first generation of GM maize crops that were resistant to the European corn borer (Ostrinia nubilalis) contain a foreign gene (cry) to express protein derivatives of crystalline endotoxins (Cry toxins) produced from Bacillus thuringiensis kurstaki. GM maize lines with the events Bt11 and MON810 are, by far, the most widely cultivated crops and express the Cry1A(b) as toxic proteins. Since the expressed protein is a toxin, several concerns have been raised concerning food safety and environmental issues. Therefore, it is crucial to possess proper methods for toxin monitoring and at same time for the detection of genetically modified organisms (GMO). The GMOsensor project anticipates the establishment of an effective international network focused on the development of innovative analytical devices, including protein-based, for the detection of GMO in food and feed. With the prospect of developing a novel immunosensor to detect Cry1A(b) toxin, an extensive in silico evaluation of immunogenic peptides has been performed. The approach consisted on the prediction, by homology modeling and molecular dynamic simulations, of the three dimensional structure of the Cry1Ab16 protein supported by bioinformatics, and subsequent selection of four peptides of interest, taking into account their immunogenicity. The selected peptides were already synthetized, being in process of purification and subsequent animal inoculation, aiming at generating proper antibodies for Cry1Ab16 identification with potential application in the construction of an immunosensor.