Detection of Gram-Negative Bacteria Carrying the blaKPC-2 Gene from Mangrove Sediments

Abstract

Mangroves are environments that have fast cycles associated with high concentration of bacterial decomposers. These are impacted by anthropogenic pollution due to contamination of bacterial species carrying resistance genes. This study aims to evaluate the metabolic profile of the microbiota in mangrove sediments, and verify the presence of Gram-negative bacteria resistant to meropenem. The samples were obtained from location along the Anil river and were seeded in medium supplemented with the antibiotic meropenem in increasing concentrations. The DNA was analyzed by multiplex PCR for detecting resistance genes for β-lactam antibiotics. The bacteria were identified by Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). The genes were sequenced by ABI PRISM 3100, analyzed by MEGA 6.0 program, and the sequence identified was assessed by GenBank using the BLAST algorithm. Ecoplate® the kit was used to determine the metabolic profile of the microbiota. The results of the six bacterial isolates showed the bla KPC-2 gene and were identified as Stenotrophomonas maltophilia and Pseudomonas putida. The samples showed a greater diversity Shannon index, a rich substrate consumption and high equity. There was a metabolic richness such as carbon consumption profiles, being a factor of adaptation of pathogenic bacteria carrying resistance genes to β-lactamics antibiotics.