Genetic Resistance Determinants in Clinical Acinetobacter pittii Genomes

Autor: JOSE RAMOS VIVAS, María Lázaro-Díez, Itziar Chapartegui-González
Přispěvatelé: Instituto de Salud Carlos III, Ministerio de Economía y Competitividad (España), European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España)
Rok vydání: 2022
Předmět:
Zdroj: Antibiotics; Volume 11; Issue 5; Pages: 676
ISSN: 2079-6382
Popis: Antimicrobial-resistant pathogenic bacteria are an increasing problem in public health, especially in the healthcare environment, where nosocomial infection microorganisms find their niche. Among these bacteria, the genus Acinetobacter which belongs to the ESKAPE pathogenic group harbors different multi-drug resistant (MDR) species that cause human nosocomial infections. Although A. baumannii has always attracted more interest, the close-related species A. pittii is the object of more study due to the increase in its isolation and MDR strains. In this work, we present the genomic analysis of five clinically isolated A. pittii strains from a Spanish hospital, with special attention to their genetic resistance determinants and plasmid structures. All the strains harbored different genes related to β-lactam resistance, as well as different MDR efflux pumps. We also found and described, for the first time in this species, point mutations that seem linked with colistin resistance, which highlights the relevance of this comparative analysis among the pathogenic species isolates.
This research was funded by the Plan Nacional de I+D+i and Instituto de Salud Carlos III (Fondo de Investigaciones Sanitarias PI16/01103 to J.R.-V.), Subdirección General de Redes y Centros de Investigación Cooperativa, Spanish Ministry of Economy and Competitiveness, Spanish Network for Research in Infectious Diseases (REIPI RD12/0015) and (REIPI RD16/0016) co-financed by the European Development Regional Fund “A way to achieve Europe” ERDF, and Ministerio de Ciencia e Innovación, Acciones de dinamización «Redes de Investigación» RED2018-102469-T.
Databáze: OpenAIRE