Investigação do potencial biotecnológico da bactéria amazônica Burkholderia gladioli Coa14 via Genome Mining

Abstract

Introduction: In recent years there has been an enormous growth and consolidation in the field of data mining. This is a study on data mining highlighting its functionalities, techniques and applications using the genome of an Amazonian bacterial strain of Burkholderia gladioli. Mainly emphasizing the genome mining process as part of a larger research process in search of knowledge in the antiSMASH database. The activity of the bacterium Burkholderia gladioli was approached and evidenced, whose purpose and scope was the discovery of the Amazonian bacterium and its biotechnological potential. In this way, it is proven how nature continues to serve as an inspiration to fill knowledge gaps and develop new research strategies. Objective: To investigate the presence of gene clusters related to bioactive compounds in the genome of the Amazonian bacterium Burkholderia gladioli, publicly deposited at the NCBI, using antiSMASH. Results: Through the antiSMASH that shows clusters of silenced or poorly expressed biosynthetic genes, Burkholderia gladioli presents a wide variety of beneficial clusters, which were separated by models and group of substances, in order to facilitate and highlight their understanding. Conclusion: There is evidence of the advantages of the bacterium studied, due to it being a promising bacterium, as well as, it sought to contribute to the increase of the biotechnological use of the strains left with the present work.