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Published on: January 10, 2019
A Cautionary Case for Host Assignment Based on Broad Environmental blaOXA Carriers.
Hanseob Shin1,2,3, Min Ki Jeon3,4,5, Hor-Gil Hur3
1Center for Health Effects of Environmental Contamination, University of Iowa, Iowa City, Iowa, USA.
Metagenomic analysis may overestimate antibiotic resistance gene (ARG) hosts in clinical pathogens. Combining metagenomics with culturing reveals environmental bacteria also harbor blaOXA genes, highlighting reservoirs of resistance.
Area of Science:
- Environmental microbiology
- Genomics
- Antimicrobial resistance
Background:
- Metagenomic analysis is crucial for studying microbial communities and antibiotic resistance genes (ARGs).
- Reference databases used in metagenomics are often biased towards clinically relevant bacteria, potentially skewing ARG host prediction.
- Accurate identification of ARG hosts in environmental settings is vital for understanding resistance dissemination.
Purpose of the Study:
- To evaluate the accuracy of metagenomic host prediction for ARGs in a wastewater treatment plant.
- To compare metagenomic ARG host assignments with culture-based methods.
- To investigate the role of environmental bacteria in hosting blaOXA genes.
Main Methods:
- Conducted metagenomic screening to identify ARG hosts.
- Employed culture-based methods for validation and broader host identification.
- Performed phenotypic testing to confirm resistance profiles.
Main Results:
- Metagenomic analysis primarily associated blaOXA genes with clinical taxa.
- Culture-based screening revealed a more diverse host range for blaOXA genes, including environmental bacteria.
- Phenotypic tests confirmed resistance patterns consistent with carbapenem-hydrolysing class D β-lactamases.
Conclusions:
- Reference-based metagenomic host prediction can underestimate the diversity of ARG reservoirs in environmental bacteria.
- Environmental bacteria are significant hosts of blaOXA genes.
- Integrating culture-dependent validation with metagenomic approaches is essential for accurate ARG ecology assessment.
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