A strategy design based on antibiotic‑resistance and plasmid replicons genes of clinical Escherichia coli strains.

Bioengineered

School of Food Science and Engineering, Guangdong Province Key Laboratory for Green Processing of Natural Products and Product Safety, Engineering Research Center of Starch and Vegetable Protein Processing Ministry of Education, South China University of Technology, Guangzhou, Guangdong, China.

Published: March 2022

Since antimicrobial resistance, especially β-lactam resistance genes were common in clinical strains, this study had designed and developed multiplex amplification platform for rapid and accurate detection of such resistance genes in 542 clinical isolates. The obtained specimens were subjected to bacteriological examination, antimicrobial susceptibility testing, and detection of β-lactamase genes and plasmid replicons. The major virulence genes were detected by 7 groups of multiplex PCR and eight groups of multiplex PCR were designed to detect 8 different plasmid replicons including , iteron, , and . It was found that most MDR isolates were co-resistant to penicillins (AMP) and fluoroquindones (LVX, CIP) and distribution of LVX and CIP resistance was significantly higher among female than male gender. (AY234375) showed the highest detection rate, followed by the (J01724) and (M26308), indicating the relatively higher carriage rate of corresponding plasmids. acquired the highest carriage rate, followed by group 2 and , indicating their prevalence among clinical . Among the β-lactamase genes, acquired the highest carriage rate, followed by group 2 and , indicating their prevalence among clinical . The (AY234375) showed the highest detection rate, followed by the (J01724) and (M26308), indicating the relatively higher carriage rate of the corresponding plasmids by clinical isolates. It is shown that the developed multiplex amplification methodology is applicable to AMR detection, and such identification of plasmid replicons and β-lactamase genes may aid in the understanding of clinical isolate epidemiology.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208507PMC
http://dx.doi.org/10.1080/21655979.2022.2047543DOI Listing

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