IBR   13079
INSTITUTO DE BIOLOGIA MOLECULAR Y CELULAR DE ROSARIO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
VI Argentinian Conference on Bioinformatics and Computational Biology VICAB2C
Autor/es:
MARIANO TORRES MANNO; LUCAS DAURELIO; MARCELO MENDEZ; GUSTAVO CHACÓN; ELENA ORELLANO; CHRISTIAN MAGNI; MARTÍN ESPARIZ
Lugar:
Bahía Blanca
Reunión:
Conferencia; VI Argentinian Conference on Bioinformatics and Computational Biology; 2015
Institución organizadora:
Asociación Argentina de Bioinformática y Biología Computacional
Resumen:
Plant roots host a large variety of bacteria, many of them cooperating with the plant and enhancing plant nutrion, stress tolerance of health. Several different modes of action are documented in these Plant Growth-Promoting Rhizobacteria (PGPR). Direct effects on plants my involve enhanced availability of nutriments, stimulation of root system development via production of phytohormones and other signals or interference with plants ethylene synthesis, and/or induced systemic resistance. Indirect beneficial effects of PGPR on plants entail competition or antagonism towards phytoparasites. In order to improve the biofertilizer technology is important understanding the molecular mechanisms of plant growth promotion and biocontrol by rhizobacteria. Like the identification of genes that contribute to the beneficial activity. Recently, next generation sequencing tecnology has been employed to study genomes of several PGPRs, mainly isolated from crop species [2]. Recently, in our lab a bacillus strain, named Bacillus sp. S9, was isolated from dairy wastewater treatment system based on its lipase activity, wastewater media survival capability and a plant growth promotion activity. (Espariz, work on drati). The aim of this work was to create a bioinformatics pipeline with the finality of find orthologues PGPR pathways in Bacillus S9 and generate a system that group it with other PGPR strains, like Bacillus pumilus INR7 and Bacillus sp. WP8 [3, 4] , by the present of PGPR cluster genes. In consequence, a method that is potentially capable of detect a putative PGPR strain only with his genome sequence was created.