3 research outputs found
Genetic support of carbapenemases in double carbapenemase producer Klebsiella pneumoniae isolated in the Arabian Peninsula
Enterobacteriaceae co-producing NDM- and OXA-48-type carbapenemases were encountered in higher frequency in the United Arab Emirates (UAE) than in the neighboring countries in our earlier study. The aim of this investigation was to characterize the seven double carbapenemase producer Klebsiella pneumoniae found in the region to assess factors contributing to their emergence. Three K. pneumoniae ST14 isolated in the UAE harboring blaNDM-1 on IncHI1b and blaOXA-232 on IncColE plasmids were clonally related. Furthermore, two K. pneumoniae from the UAE, ABC106 and ABC137 belonged to ST307 and ST1318, respectively. ABC106 carried blaNDM-1 on IncHI1b, and blaOXA-162 on IncL/M plasmids, whereas ABC137 possessed blaNDM-1 on IncX3 and blaOXA-48 on IncL/M plasmids. The double carbapenemase-producing K. pneumoniae from Oman (OMABC109) and Saudi Arabia (SA54) belonged to ST11 and ST152, respectively. OMABC109 harbored blaNDM-1 on an IncHI1b plasmid highly similar to the NDM-plasmid of ABC106 and carried a chromosomally coded blaOXA-181 located on Tn2013. SA54 possessed a blaNDM-1 on an IncFIb/FII plasmid and a blaOXA-48 on an IncL/M plasmid. Based on these findings, clonal spread and horizontal transfer of carbapenemase genes located on transposons or self-transmissible plasmids contributed equally to the emergence of double carbapenemase-producing Enterobacteriaceae in the region
A melittin-related peptide from the skin of the Japanese frog, Rana tagoi, with antimicrobial and cytolytic properties
Whole genomes from bacteria collected at diagnostic units around the world 2020
Abstract The Two Weeks in the World research project has resulted in a dataset of 3087 clinically relevant bacterial genomes with pertaining metadata, collected from 59 diagnostic units in 35 countries around the world during 2020. A relational database is available with metadata and summary data from selected bioinformatic analysis, such as species prediction and identification of acquired resistance genes