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Genotyping Characteristics of Human Fecal Escherichia coli and Their Association with Multidrug Resistance in Miyun District, Beijing.

Authors :
Wei Wei, ZHANG
Xiao Lin, ZHU
Le Le, DENG
Ya Jun, HAN
Zhuo Wei, LI
Jin Long, WANG
Yong Liang, CHEN
Ao Lin, WANG
Er Li, TIAN
Bin, CHENG
Lin Hua, XU
Yi Cong, CHEN
Li Li, TIAN
Guang Xue, HE
Source :
Biomedical & Environmental Sciences; May2023, Vol. 36 Issue 5, p406-417, 12p
Publication Year :
2023

Abstract

To explore the genotyping characteristics of human fecal Escherichia coli (E. coli) and the relationships between antibiotic resistance genes (ARGs) and multidrug resistance (MDR) of E. coli in Miyun District, Beijing, an area with high incidence of infectious diarrheal cases but no related data. Over a period of 3 years, 94 E. coli strains were isolated from fecal samples collected from Miyun District Hospital, a surveillance hospital of the National Pathogen Identification Network. The antibiotic susceptibility of the isolates was determined by the broth microdilution method. ARGs, multilocus sequence typing (MLST), and polymorphism trees were analyzed using whole-genome sequencing data (WGS). This study revealed that 68.09% of the isolates had MDR, prevalent and distributed in different clades, with a relatively high rate and low pathogenicity. There was no difference in MDR between the diarrheal (49/70) and healthy groups (15/24). We developed a random forest (RF) prediction model of TEM.1 + baeR + mphA + mphB + QnrS1 + AAC.3-IId to identify MDR status, highlighting its potential for early resistance identification. The causes of MDR are likely mobile units transmitting the ARGs. In the future, we will continue to strengthen the monitoring of ARGs and MDR, and increase the number of strains to further verify the accuracy of the MDR markers. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08953988
Volume :
36
Issue :
5
Database :
Supplemental Index
Journal :
Biomedical & Environmental Sciences
Publication Type :
Academic Journal
Accession number :
164109572
Full Text :
https://doi.org/10.3967/bes2023.050