Phenotypic and Genotypic Characterizations of Antimicrobial-Resistant Escherichia coli Isolates from Diverse Retail Meat Samples in North Carolina During 2018-2019.

IF 1.9 2区 农林科学 Q3 FOOD SCIENCE & TECHNOLOGY
Foodborne pathogens and disease Pub Date : 2024-04-01 Epub Date: 2024-01-10 DOI:10.1089/fpd.2023.0093
Afaf Abdelrahim, Erin Harrell, Paula J Fedorka-Cray, Megan Jacob, Siddhartha Thakur
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引用次数: 0

Abstract

Surveillance of antimicrobial-resistant pathogens in U.S. retail meats is conducted to identify potential risks of foodborne illness. In this study, we conducted a phenotypic and genotypic analysis of Escherichia coli recovered from a diverse range of retail meat types during 2018-2019 in North Carolina. The investigation was conducted as part of the National Antimicrobial Resistance Monitoring System (NARMS). Retail meat sampling and E. coli isolation were performed in accordance with NARMS retail meat isolation protocols. We used the Sensititre™ broth microdilution system to determine phenotypic resistance to 14 antimicrobial agents and the Illumina next-generation sequencing platform for genotypic resistance profiling. The highest prevalence of E. coli isolates was found in ground turkey (n = 57, 42.9%) and chicken (n = 27, 20.3%), followed by ground beef (n = 25, 18.9%) and pork (n = 24, 18%). The isolates were divided into seven different phylogroups using the Clermont typing tool, with B1 (n = 59, 44.4%) and A (n = 39, 29.3%) being the most dominant, followed by B2 (n = 14, 10.5%), D (n = 7, 5.3%), F (n = 6, 4.5%), E (n = 3, 2.3%), and C (n = 2, 1.5%). Using multilocus sequence typing (MLST), 128 Sequence types (STs) were identified indicating high diversity. Phenotypic and genotypic resistance was observed toward aminoglycosides, sulfonamides, beta-lactams, macrolides, tetracyclines, phenicols, and fluoroquinolones. Ground turkey samples were more resistant to the panel of tested antimicrobials than chicken, beef, or pork (p < 0.05). All isolates were found to be susceptible to meropenem. A high percentage of turkey isolates (n = 16, 28%) were multidrug-resistant (MDR) compared with 18.5% of chicken (n = 5), 8.4% of pork (n = 2), and 8% of beef isolates (n = 2). This study highlights the benefit of surveillance to identify MDR E. coli for epidemiologic tracking and is a comprehensive report of the phenotypic and genotypic characterization of E. coli isolated from retail meats in North Carolina.

2018-2019 年期间北卡罗来纳州不同零售肉类样本中抗菌剂耐药大肠埃希氏菌分离物的表型和基因型特征。
对美国零售肉类中的抗菌药耐药病原体进行监测是为了确定潜在的食源性疾病风险。在本研究中,我们对 2018-2019 年期间从北卡罗来纳州各种零售肉类中回收的大肠埃希菌进行了表型和基因型分析。该调查是国家抗菌药耐药性监测系统(NARMS)的一部分。零售肉类采样和大肠杆菌分离均按照 NARMS 零售肉类分离协议进行。我们使用 Sensititre™ 肉汤微量稀释系统测定了对 14 种抗菌剂的表型耐药性,并使用 Illumina 下一代测序平台进行了基因型耐药性分析。火鸡肉(57 个,42.9%)和鸡肉(27 个,20.3%)中的大肠杆菌分离率最高,其次是牛肉(25 个,18.9%)和猪肉(24 个,18%)。使用克莱蒙分型工具将分离物分为七个不同的系统组,其中 B1(n = 59,44.4%)和 A(n = 39,29.3%)是最主要的系统组,其次是 B2(n = 14,10.5%)、D(n = 7,5.3%)、F(n = 6,4.5%)、E(n = 3,2.3%)和 C(n = 2,1.5%)。通过多焦点序列分型(MLST),确定了 128 个序列类型(ST),表明其多样性很高。表型和基因型对氨基糖苷类、磺胺类、β-内酰胺类、大环内酯类、四环素类、酚类和氟喹诺酮类药物具有耐药性。与鸡肉、牛肉或猪肉相比,土火鸡样本对所检测的抗菌素更耐药(p n = 16,28%),而鸡肉样本(n = 5)、猪肉样本(n = 2)和牛肉样本(n = 2)的耐多药率分别为 18.5%、8.4% 和 8%。这项研究强调了通过监测发现耐多药大肠杆菌以进行流行病学追踪的益处,并全面报告了从北卡罗来纳州零售肉类中分离出的大肠杆菌的表型和基因型特征。
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来源期刊
Foodborne pathogens and disease
Foodborne pathogens and disease 医学-食品科技
CiteScore
5.30
自引率
3.60%
发文量
80
审稿时长
1 months
期刊介绍: Foodborne Pathogens and Disease is one of the most inclusive scientific publications on the many disciplines that contribute to food safety. Spanning an array of issues from "farm-to-fork," the Journal bridges the gap between science and policy to reduce the burden of foodborne illness worldwide. Foodborne Pathogens and Disease coverage includes: Agroterrorism Safety of organically grown and genetically modified foods Emerging pathogens Emergence of drug resistance Methods and technology for rapid and accurate detection Strategies to destroy or control foodborne pathogens Novel strategies for the prevention and control of plant and animal diseases that impact food safety Biosecurity issues and the implications of new regulatory guidelines Impact of changing lifestyles and consumer demands on food safety.
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