Distribution and association of antimicrobial resistance and virulence traits in Escherichia coli isolates from healthy waterfowls in Hainan, China

Zhang, Shaqiu; Chen, Shuling; Rehman, Mujeeb Ur; Yang, Hong; Yang, Zhishuang; Wang, Mingshu; Jia, Renyong; Chen, Shun; Liu, Mafeng; Zhu, Dekang; Zhao, Xinxin; Wu, Ying; Yang, Qiao; Huan, Juan; Ou, Xumin; Mao, Sai; Gao, Qun; Sun, Di; Tian, Bin; Cheng, Anchun

doi:10.1016/j.ecoenv.2021.112317

Cited by 31 publications

(28 citation statements)

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“…This result is in disagreement with other authors who have reported higher levels of resistance [ 39 ]. Notably, the MDR rate is 80.7% of the isolates from healthy waterfowls in Esatern China [ 40 ], whereas the MDR rate is 29.31%, and XDR rate is 10.34% in our study. MDR patterns were more diverse in ExPEC isolates compared with InPEC isolates.…”

Section: Discussioncontrasting

confidence: 57%

Genetic diversity and multidrug resistance of phylogenic groups B2 and D in InPEC and ExPEC isolated from chickens in Central China

Zhang

Luo

et al. 2022

BMC Microbiol

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Background Avian colibacillosis is an infectious bacterial disease caused by avian pathogenic Escherichia coli (APEC). APEC causes a wide variety of intestinal and extraintestinal infections, including InPEC and ExPEC, which result in enormous losses in the poultry industry. In this study, we investigated the prevalence of InPEC and ExPEC in Central China, and the isolates were characterized using molecular approaches and tested for virulence factors and antibiotic resistance. Results A total of 200 chicken-derived E. coli isolates were collected for study from 2019 and 2020. The prevalence of B2 and D phylogenic groups in the 200 chicken-derived E. coli was verified by triplex PCR, which accounted for 50.53% (48/95) and 9.52% (10/105) in ExPEC and InPEC, respectively. Additionally, multilocus sequence typing method was used to examine the genetic diversity of these E. coli isolates, which showed that the dominant STs of ExPEC included ST117 (n = 10, 20.83%), ST297 (n = 5, 10.42%), ST93 (n = 4, 8.33%), ST1426 (n = 4, 8.33%) and ST10 (n = 3, 6.25%), while the dominant ST of InPEC was ST117 (n = 2, 20%). Furthermore, antimicrobial susceptibility tests of 16 antibiotics for those strains were conducted. The result showed that more than 60% of the ExPEC and InPEC were resistant to streptomycin and nalidixic acid. Among these streptomycin resistant isolates (n = 49), 99.76% harbored aminoglycoside resistance gene strA, and 63.27% harbored strB. Among these nalidixic acid resistant isolates (n = 38), 94.74% harbored a S83L mutation in gyrA, and 44.74% harbored a D87N mutation in gyrA. Moreover, the prevalence of multidrug-resistant (MDR) in the isolates of ExPEC and InPEC was 31.25% (15/48) and 20% (2/10), respectively. Alarmingly, 8.33% (4/48) of the ExPEC and 20% (2/10) of the InPEC were extensively drug-resistant (XDR). Finally, the presence of 13 virulence-associated genes was checked in these isolates, which over 95% of the ExPEC and InPEC strains harbored irp2, feoB, fimH, ompT, ompA. 10.42% of the ExPEC and 10% of the InPEC were positive for kpsM. Only ExPEC isolates carried ibeA gene, and the rate was 4.17%. All tested strains were negative to LT and cnf genes. The carrying rate of iss and iutA were significantly different between the InPEC and ExPEC isolates (P < 0.01). Conclusions To the best of our knowledge, this is the first report on the highly pathogenic groups of InPEC and ExPEC in Central China. We find that 50.53% (48/95) of the ExPEC belong to the D/B2 phylogenic group. The emergence of XDR and MDR strains and potential virulence genes may indicate the complicated treatment of the infections caused by APEC. This study will improve our understanding of the prevalence and pathogenicity of APEC.

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Section: Discussioncontrasting

confidence: 57%

Genetic diversity and multidrug resistance of phylogenic groups B2 and D in InPEC and ExPEC isolated from chickens in Central China

Zhang

Luo

et al. 2022

BMC Microbiol

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“… 37 However, in other studies, highly virulent microorganisms showed high resistance profiles as well. 12 , 38 Although, it is increasingly evident that the presence of both virulence and AMR traits is likely of greater benefit to the microorganism. 37 Virulence factors are necessary to overcome host defense mechanisms, and the development of AMR is essential to enable pathogenic bacteria to overcome antimicrobial drugs and to adapt to and survive in competitive and demanding environments.…”

Section: Discussionmentioning

confidence: 99%

“… 8 , 9 Additionally, some antibiotics are used in sub-therapeutic levels as animal feed additives to promote growth and prevent infections. 12 , 13 Frequent exposure and misuse of antibiotics in both humans and animals has upsurged the emergence and spread of AMR. 12 , 14 …”

Section: Introductionmentioning

confidence: 99%

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Gut Commensal Escherichia coli, a High-Risk Reservoir of Transferable Plasmid-Mediated Antimicrobial Resistance Traits

Tawfick¹,

Shamy²,

Mohamed³

et al. 2022

IDR

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Background Escherichia coli ( E. coli ), the main human gut microorganism, is one of the evolved superbugs because of acquiring antimicrobial resistance (AMR) determinants via horizontal gene transfer (HGT). Purpose This study aimed to screen isolates of gut commensal E. coli from healthy adult individuals for antimicrobial susceptibility and plasmid-mediated AMR encoding genes. Methods Gut commensal E. coli bacteria were isolated from fecal samples that were taken from healthy adult individuals and investigated phenotypically for their antimicrobial susceptibility against diverse classes of antimicrobials using the Kirby Bauer disc method. PCR-based molecular assays were carried out to detect diverse plasmid-carried AMR encoding genes and virulence genes of different E. coli pathotypes ( eaeA , stx , ipaH , est , elt , a ggR and pCVD432 ). The examined AMR genes were β-lactam resistance encoding genes ( bla CTX-M1 , bla TEM , bla CMY-2 ), tetracycline resistance encoding genes ( tetA , tetB ), sulfonamides resistance encoding genes ( sul1 , sulII ), aminoglycoside resistance encoding genes ( aac(3)-II , aac(6′)-Ib-cr ) and quinolones resistance encoding genes ( qnrA , qnrB , qnrS ). Results PCR results revealed the absence of pathotypes genes in 56 isolates that were considered gut commensal isolates. E. coli isolates showed high resistance rates against tested antimicrobial agents belonging to both β-lactams and sulfonamides (42/56, 75%) followed by quinolones (35/56, 62.5%), tetracyclines (31/56, 55.4%), while the lowest resistance rate was to aminoglycosides (24/56, 42.9%). Antimicrobial susceptibility profiles revealed that 64.3% of isolates were multidrug-resistant (MDR). High prevalence frequencies of plasmid-carried AMR genes were detected including bla TEM (64%) sulI (60.7%), qnrA (51.8%), aac(3)-II (37.5%), and tetA (46.4%). All isolates harbored more than one gene with the most frequent genetic profile among isolates was bla TEM - bla CTX-M1-like - qnrA-qnrB-tet...

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“…For example, Amsalu et al analyzed phenotypic data and sequencing in n = 147 P. aeruginosa to assess the correlation between the resistance to biocide-resistance, and their results suggested that biocide resistance showed a significant positive correlation between biocide resistance and phenotypic resistance to fluoroquinolones, cephalosporins, and aminoglycosides [31]. Zhang et al identified significant positive correlation among resistance and the presence of virulence genes associated with the extra-intestinal pathogenic (ExPEC) pathotype of E. coli isolated from healthy ducks [50]. Zhang et al analyzed phenotypic and genotypic susceptibility data of foodborne pathogens from the NCBI Pathogen Detection Isolates Browser (NPDIB) database, corresponding to six US states, using PCA and hierarchical clusters [40].…”

Section: Discussionmentioning

confidence: 99%

Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years’ Worth of Antibiogram Data

Gajdács

Bátori

Burián

2021

Life

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The global emergence of antimicrobial resistance (AMR) has become a critical issue for clinicians, as it puts the decades of developments in the medical field in jeopardy, by severely limiting the useful therapeutic arsenal of drugs, both in nosocomial and community-acquired infections. In the present study, a secondary analysis of taxonomic and resistance data was performed, corresponding to urinary tract infections (UTIs) caused by Gram-negative bacteria, detected between 1 January 2008 to 31 December 2017 at the Albert Szent-Györgyi Health Center, University of Szeged. The following were identifiable from the data collected: year of isolation; outpatient (OP)/inpatient (IP) origin of the isolate; taxonomy; and susceptibility/resistance to selected indicator antibiotics. Principal component analysis (PCA) and a correlation matrix were used to determine the association between the presences of resistance against indicator antibiotics in each taxonomic group. Overall, data from n = 16,240 outpatient and n = 13,964 inpatient Gram-negative UTI isolates were included in the data analyses. In E. coli, strong positive correlations were seen between resistance to ciprofloxacin (CIP) and gentamicin (GEN) resistance (OP: r = 0.6342, p = 0.049; IP: r = 0.9602, p < 0.001), whereas strong negative correlations were shown for fosfomycin (FOS) and nitrofurantoin (NIT) resistance (OP: r= −0.7183, p = 0.019; IP: r= −0.7437; p = 0.014). For Klebsiella spp. isolates, CIP resistance showed strong positive correlation with resistance to third-generation cephalosporins (3GC) and GEN (r = 0.7976, p = 0.006 and r = 0.7428, p = 0.014, respectively) in OP isolates, and with resistance to trimethoprim-sulfamethoxazole (SXT) and FOS (r = 0.8144, p = 0.004 and r = 0.7758, p < 0.001, respectively) in IP isolates. For members of the Citrobacter-Enterobacter-Serratia group, the resistance among indicator antibiotics showed a strong positive correlation, with the exception of FOS resistance. In the Proteus-Providencia-Morganella group, the strongest association was noted between CIP and SXT resistance (OP: r = 0.9251, p < 0.001; IP: r = 0.8007; p = 0.005). In the case of OP Acinetobacter spp., CIP showed strong and significant positive correlations with most indicator antibiotics, whereas for IP isolates, strong negative correlations arose among imipenem (IMI) resistance and resistance to other drugs. For Pseudomonas spp., strong and positive correlations were noted among resistance to β-lactam antibiotics and aminoglycosides, with the exception of ceftazidime (CEFT), showing strong, but negative correlations. Though molecular tests and sequencing-based platforms are now considered as the gold-standard for AMR surveillance, standardized collection of phenotypic resistance data and the introduction of Big Data analytic methods may be a viable alternative for molecular surveillance, especially in low-resource settings.

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Distribution and association of antimicrobial resistance and virulence traits in Escherichia coli isolates from healthy waterfowls in Hainan, China

Cited by 31 publications

References 48 publications

Genetic diversity and multidrug resistance of phylogenic groups B2 and D in InPEC and ExPEC isolated from chickens in Central China

Genetic diversity and multidrug resistance of phylogenic groups B2 and D in InPEC and ExPEC isolated from chickens in Central China

Gut Commensal Escherichia coli, a High-Risk Reservoir of Transferable Plasmid-Mediated Antimicrobial Resistance Traits

Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years’ Worth of Antibiogram Data

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