Sample Type and Processing Plant Differences in the Proportion of Enterohemorrhagic Escherichia coli O157 and Non-O157 Serogroups in Feces and on Hides of Cull Dairy Cattle at Slaughter.

IF 1.9 2区 农林科学 Q3 FOOD SCIENCE & TECHNOLOGY Foodborne pathogens and disease Pub Date : 2024-11-01 Epub Date: 2024-08-02 DOI:10.1089/fpd.2024.0017
David O Edache, Tariku J Beyene, Joaquin Baruch, Xiaorong Shi, Michael W Sanderson, T G Nagaraja, Dmitriy Smolensky, Natalia Cernicchiaro
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Abstract

The study was conducted to determine the proportion and concentration of enterohemorrhagic Escherichia coli (EHEC) O157 and six non-O157 (O26, O45, O103, O111, O121, and O145) serogroups and identify seasonal and processing plant differences in feces and on hides of cull dairy cattle processed in commercial slaughterhouses in the United States. Approximately 60 rectal and 60 hide-on samples from matched carcasses were collected in each of three processing plants, in two periods; summer of 2017 and spring of 2018. Samples before enrichment were spiral plated to quantify EHEC, and postenriched samples underwent culture methods that included immuno-magnetic separation, plating on selective media, and PCR assays for identification and serogroup confirmation of putative isolates. An isolate was considered EHEC O157 positive if it harbored serogroup-specific (rfbE), Shiga toxin (stx1 and/or stx2), and intimin (eae) genes and EHEC non-O157 positive if at least one of the non-O157 serogroup-specific, stx1 and/or stx2, and eae genes was identified. Generalized linear mixed models were fitted to estimate overall proportion of positives for EHEC O157 and non-O157 EHEC serogroups, as well as seasonal and processing plant differences in fecal and hide-on proportion of positives. The fecal EHEC proportion at the sample level was 1.8% (95% CI = 0.0-92.2%) and 4.2% (95% CI = 0.0-100.0%) for EHEC O157 and EHEC non-O157, respectively. Hide sample level proportion of positives was 3.0% (95% CI = 0.0-99.9%) for EHEC O157 and 1.6% (95% CI = 0.0-100.0%) for EHEC non-O157. The proportion of EHEC O157 and non-O157 significantly differed by processing plant and sample type (hide vs. feces), but not by season. The association between proportion of EHEC serogroups in feces with the proportion on hides collected from matched cattle was 7.8% (95% CI = 0.6-53.3%) and 3.8% (95% CI = 0.3-30.8%) for EHEC O157 and non-O157, respectively. Taken together, our findings provide evidence of a low proportion of EHEC serogroups in the feces and on hides of cull dairy cattle and that their proportion varies across processing plants.

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屠宰奶牛粪便和牛皮中肠出血性大肠杆菌 O157 和非 O157 血清群比例的样本类型和加工厂差异。
该研究旨在确定肠出血性大肠杆菌(EHEC)O157 和六种非 O157(O26、O45、O103、O111、O121 和 O145)血清群的比例和浓度,并确定美国商业屠宰场加工的宰杀乳牛粪便和牛皮中的季节性差异和加工厂差异。在 2017 年夏季和 2018 年春季两个时期,在三个加工厂各采集了约 60 份直肠样本和 60 份来自匹配胴体的皮上样本。富集前的样本采用螺旋培养法对 EHEC 进行定量,富集后的样本采用培养方法,包括免疫磁分离、在选择性培养基上培养,以及对推定分离物进行鉴定和血清群确认的 PCR 检测。如果分离物含有血清群特异性(rfbE)、志贺毒素(stx1和/或stx2)和肠毒素(eae)基因,则被认为是EHEC O157阳性;如果至少发现一种非O157血清群特异性、stx1和/或stx2和eae基因,则被认为是EHEC非O157阳性。采用广义线性混合模型估算 EHEC O157 和非 O157 EHEC 血清群阳性的总体比例,以及粪便和藏匿处阳性比例的季节和加工厂差异。EHEC O157 和 EHEC 非 O157 的粪便 EHEC 样本水平阳性比例分别为 1.8%(95% CI = 0.0-92.2%)和 4.2%(95% CI = 0.0-100.0%)。隐藏样本水平的阳性比例为:EHEC O157 为 3.0% (95% CI = 0.0-99.9%),EHEC 非 O157 为 1.6% (95% CI = 0.0-100.0%)。EHEC O157 和非 O157 的比例因加工厂和样本类型(兽皮与粪便)而有显著差异,但不因季节而异。对于 EHEC O157 和非 O157,粪便中 EHEC 血清群的比例与从匹配牛身上采集的牛皮上的比例之间的关联分别为 7.8%(95% CI = 0.6-53.3%)和 3.8%(95% CI = 0.3-30.8%)。综上所述,我们的研究结果表明,宰杀奶牛粪便和牛皮中的 EHEC 血清群比例较低,而且不同加工厂的 EHEC 血清群比例各不相同。
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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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