scholarly journals Whole-genome analysis of carbapenem-resistant Acinetobacter baumannii from clinical isolates in Southern Thailand

Author(s):  
Arnon Chukamnerd ◽  
Kamonnut Singkhamanan ◽  
Virasakdi Chongsuvivatwong ◽  
Prasit Palittapongarnpim ◽  
Yohei Doi ◽  
...  
2018 ◽  
Vol 26 ◽  
pp. 100-106 ◽  
Author(s):  
S. Montaña ◽  
J.S. Fernandez ◽  
M. Barenboim ◽  
M. Hernandez ◽  
C. Kayriyama ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0122979 ◽  
Author(s):  
Vinita Periwal ◽  
Ashok Patowary ◽  
Shamsudheen Karuthedath Vellarikkal ◽  
Anju Gupta ◽  
Meghna Singh ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 201
Author(s):  
Sang Mee Hwang ◽  
Hee Won Cho ◽  
Tae Yeul Kim ◽  
Jeong Su Park ◽  
Jongtak Jung ◽  
...  

Carbapenem-resistant Acinetobacter baumannii (CRAB) outbreaks in hospital settings challenge the treatment of patients and infection control. Understanding the relatedness of clinical isolates is important in distinguishing outbreak isolates from sporadic cases. This study investigated 11 CRAB isolates from a hospital outbreak by whole-genome sequencing (WGS), utilizing various bioinformatics tools for outbreak analysis. The results of multilocus sequence typing (MLST), single nucleotide polymorphism (SNP) analysis, and phylogenetic tree analysis by WGS through web-based tools were compared, and repetitive element polymerase chain reaction (rep-PCR) typing was performed. Through the WGS of 11 A. baumannii isolates, three clonal lineages were identified from the outbreak. The coexistence of blaOXA-23, blaOXA-66, blaADC-25, and armA with additional aminoglycoside-inactivating enzymes, predicted to confer multidrug resistance, was identified in all isolates. The MLST Oxford scheme identified three types (ST191, ST369, and ST451), and, through whole-genome MLST and whole-genome SNP analyses, different clones were found to exist within the MLST types. wgSNP showed the highest discriminatory power with the lowest similarities among the isolates. Using the various bioinformatics tools for WGS, CRAB outbreak analysis was applicable and identified three discrete clusters differentiating the separate epidemiologic relationships among the isolates.


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