Ivson Cassiano de Oliveira Santos , Melise Chaves Silveira , Daiana Cristina Silva Rodrigues , Bruna Ribeiro Sued-Karam , Bruno Rocha Pribul , Giovanna de Oliveira Santos , Jônathas Dias Nunes , Marcos Dornelas-Ribeiro , Gabriela Bergiante Kraychete , Renata Cristina Picão , Elizabeth Andrade Marques , Robson Souza Leão , Cláudio Marcos Rocha-de-Souza , Ana Paula D'Alincourt Carvalho-Assef
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引用次数: 0
Abstract
Pseudomonas aeruginosa, an opportunistic pathogen often found in Healthcare-associated infections (HAI), has shown increased resistance to carbapenems (imipenem, meropenem, doripenem), the primary treatment options. We've seen a rise in carbapenemase-producing P. aeruginosa in Brazil, including NDM-producers. This study characterises an isolate carrying blaNDM-1 from a patient's skin fragment in a Brazilian hospital. The whole genomic sequence (WGS) of P. aeruginosa CCBH26428 was extracted and sequenced using Illumina and minION platforms. The assembly used MinION results mapped with Illumina reads, and annotation was performed by the RAST server. Resistance genes and clonality were identified using the CABGen platform. Additional information was carried out by manual annotation using Geneious software and BLAST tool. The genomic analysis revealed a genome of 6.995.008 bp and G+C 65.9 %. P. aeruginosa CCBH26428 belongs to ST2407. The blaNDM gene, associated with ISAba125, was found in a 63.862 pb genomic region flanked by IS26 insertion sequences. This region also contained the repA of the plasmid incompatibility group IncC2 and other resistance genes, suggesting it is a possible “translocation unit”. Additionally, 17 resistance genes, mutations in OprD and GyrA, and several virulence genes were detected, potentially exacerbating the infection. This study is report a WGS analysis of P. aeruginosa carrying blaNDM-1 in Brazil, highlighting the role of IS26 in the acquisition and spread of resistance genes between plasmids and chromosomes.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .