Pipeline para extração automática de genes associados à PGPR: um estudo de caso de bactérias do gênero bacillus

Abstract

The utilization of Plant Growth-Promoting Rhizobacteria (PGPR) has evolved into a sustainable solution for phytopathogen control and increased agricultural productivity in recent decades. There is an evident surge in research in this field, resulting in a growing number of new findings. In this study, a pipeline has been proposed to establish a gene database related to PGPR. This is achieved through the use of Python scripts utilizing the functionalities of the Biopython package and the BLAST+ software. These tools aid in future classifications, by machine learning algorithms, of new strains of plant growth-promoting rhizobacteria. Through alignments of amino acid sequences using the BLAST tool, the presence of genes encompassed in the proposed database is analyzed within genomes of Bacillus genus rhizobacteria, as classified as PGPR in the literature. onsequently, the findings are deliberated upon, and potential new approaches for future research are discussed.