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Comparative Genomic Analysis and Phenotypic Characterization of Bronchoscope-Associated Klebsiella aerogenes

FANG HUANG

FANG HUANG

Disinfection and Sterilization Center, The First Affiliated Hospital, College of Medicine, Zhejiang UniversityHangzhou, China
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HUANG, FANG
, 
SHUANG LI

SHUANG LI

  • Department of Laboratory Medicine, The First Affiliated Hospital of Zhengzhou UniversityZhengzhou, China
  • Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang UniversityHangzhou, China
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LI, SHUANG
, 
LAN LOU

LAN LOU

Disinfection and Sterilization Center, The First Affiliated Hospital, College of Medicine, Zhejiang UniversityHangzhou, China
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LOU, LAN
, 
JUNJUN MO

JUNJUN MO

Disinfection and Sterilization Center, The First Affiliated Hospital, College of Medicine, Zhejiang UniversityHangzhou, China
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MO, JUNJUN
 and 
HAO XU

HAO XU

Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang UniversityHangzhou, China
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XU, HAO
  
Sep 17, 2021
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Article Category: short-communication
Published Online: Sep 17, 2021
Page range: 409 - 412
Received: Jun 06, 2021
Accepted: Aug 04, 2021
DOI: https://doi.org/10.33073/pjm-2021-038
Keywords
© 2021 Fang Huang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1.

Maximum-likelihood phylogeny of 58 representative global Klebsiella aerogenes isolates.The trees were constructed using Roary software.The tips of branches are colored according to hosts, countries, and sources. Red words indicate the strains in this study.
Maximum-likelihood phylogeny of 58 representative global Klebsiella aerogenes isolates.The trees were constructed using Roary software.The tips of branches are colored according to hosts, countries, and sources. Red words indicate the strains in this study.

Fig. 2.

Antimicrobial resistance genes were identified in the genomes of Klebsiella aerogenes isolates by analyzing the WGS data. The antimicrobial resistance genes (ARGs) are shown on the bottom.Yellow indicates the presence of the ARGs, and blue indicates the absence of the ARGs.
Antimicrobial resistance genes were identified in the genomes of Klebsiella aerogenes isolates by analyzing the WGS data. The antimicrobial resistance genes (ARGs) are shown on the bottom.Yellow indicates the presence of the ARGs, and blue indicates the absence of the ARGs.

The Minimum Inhibitory Concentration (MIC) and isolation time of seven bronchoscope-associated Klebsiella aerogenes isolates_

IsolateIsolation timeAMCTZPCXMFOXCAZCROCSLFEPETPIPMAMKLVXTGCSXT
05021124post-disinfection16(R)≤ 4(S)4(S)≥ 64(R)≤0.12(S)≤ 0.12(S)≤ 8(S)≤0.12(S)≤ 0.12(S)2(I)≤ 2(S)≤0.12(S)≤ 0.5(S)≤ 20(S)
04304169pre-disinfection≥ 32(R)≤ 4(S)4(S)≥ 64(R)1(S)≤ 0.25(S)≤ 8(S)≤ 0.12(S)≤ 0.12(S)1(S)≤ 2(S)≤ 0.12(S)≤ 0.5(S)≤ 20(S)
04292179pre-disinfection≥ 32(R)≤ 4(S)4(S)≥ 64(R)1(S)≤ 0.25(S)≤ 8(S)≤ 0.12(S)≤ 0.12(S)1(S)≤ 2(S)≤ 0.12(S)≤0.5(S)≤20(S)
04251141pre-disinfection≥ 32(R)≤ 4(S)4(S)≥ 64(R)≤ 0.12(S)≤ 0.25(S)≤ 8(S)≤ 0.12(S)≤ 0.12(S)2(I)≤ 2(S)≤ 0.12(S)≤0.5(S)≤20(S)
04250663pre-disinfection≥ 32(R)≤ 4(S)4(S)≥ 64(R)≤ 0.12(S)≤ 0.25(S)≤ 8(S)≤ 0.12(S)≤ 0.12(S)2(I)≤ 2(S)≤ 0.12(S)≤ 0.5(S)≤ 20(S)
04161141pre-disinfection≥ 32(R)≤ 4(S)≤ 1(S)≥ 64(R)≤ 0.12(S)≤ 0.25(S)≤ 8(S)≤ 0.12(S)≤ 0.12(S)2(I)≤ 2(S)≤ 0.12(S)≤ 0.5(S)≤ 20(S)
04160493pre-disinfection≥ 32(R)≤ 4(S)4(S)≥ 64(R)≤ 0.12(S)≤ 0.25(S)≤ 8(S)≤ 0.12(S)≤ 0.12(S)2(I)≤ 2(S)≤ 0.12(S)≤ 0.5(S)≤ 20(S)
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