High-resolution Serotyping Reveals Salmonella Surveillance Challenges in the Turkey Industry

IF 2.1 4区 农林科学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal of food protection Pub Date : 2024-06-20 DOI:10.1016/j.jfp.2024.100319
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Abstract

Despite extensive Salmonella controls used at processing, 5.5% of salmonellosis cases are linked to turkey. This study had two objectives: (i) to summarize USDA-FSIS turkey Salmonella verification program data and (ii) to evaluate Salmonella through turkey production and processing of 22 flocks. In objective 1, USDA-FSIS data show the average Salmonella prevalence in ground turkey from 2016 to 2022 was 15.9%, and that the leading serovar changes frequently. For objective 2, bootsocks (n = 22) were collected on-farm right after load-out. At processing, prescald wingtips (n = 6 composites of 10/flock), prechill wingtips (n = 6 composites of 10/flock), mechanically separated turkey (MST; n = 6 bins/flock), and ground turkey (n = 6 bins/flock) were collected. Salmonella prevalence was determined by a commercial qPCR and culture confirmed. In 33.2% of PCR-positive samples, Salmonella was not confirmed by culture, highlighting a discrepancy between molecular and culture detection. On-farm, 8/22 flocks were Salmonella positive, compared to 21 flocks that were positive at one or more processing locations, including 18 flocks that were positive in at least one final product sample. A logistic regression showed higher Salmonella prevalence in prescald (53.8%) than in prechill (18.2%), MST (27.3%) or ground turkey (26.5%). CRISPR-SeroSeq analysis of 148 culture−positive samples detected 18 Salmonella serovars and showed 35.1% of samples contained multiple serovars. In 16 flocks, one or more serovars detected in final products were absent from any upstream samples. Two−thirds of final product samples containing serovar Typhimurium typed as a live-attenuated Typhimurium vaccine strain. Salmonella on-farm and at prescald did not reflect Salmonella observed in final product. These data underscore the complexity of serovar tracking in turkey production and highlight challenges to identify surveillance samples that accurately represent Salmonella in turkey products.

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高分辨率血清分型揭示了火鸡业沙门氏菌监控面临的挑战。
尽管在加工过程中采用了广泛的沙门氏菌控制措施,但仍有 5.5% 的沙门氏菌病例与火鸡有关。本研究有两个目标:i)总结 USDA-FSIS 火鸡沙门氏菌验证计划数据;ii)评估 22 个鸡群火鸡生产和加工过程中的沙门氏菌。在目标 1 中,USDA-FSIS 数据显示 2016-2022 年间土火鸡中沙门氏菌的平均感染率为 15.9%,且主要血清型经常变化。对于目标 2,在装载后立即在农场收集火鸡靴(n=22)。在加工过程中,收集了预烫翼尖(n=6,10 块/群)、预冷翼尖(n=6,10 块/群)、机械分离火鸡(MST;n=6 箱/群)和碎火鸡(n=6 箱/群)。通过商用 qPCR 确定沙门氏菌的流行率,并进行培养确认。在 33.2% 的 PCR 阳性样品中,沙门氏菌未通过培养得到确认,这表明分子检测和培养检测之间存在差异。在农场,8/22 的鸡群沙门氏菌呈阳性,而在一个或多个加工地点,21 的鸡群沙门氏菌呈阳性,其中 18 的鸡群至少在一个最终产品样本中呈阳性。逻辑回归显示,预烫(53.8%)火鸡的沙门氏菌感染率高于预冷(18.2%)、MST(27.3%)或碎火鸡(26.5%)。对 148 份培养阳性样本进行的 CRISPR-SeroSeq 分析检测出 18 种沙门氏菌血清,并显示 35.1% 的样本含有多种血清。在 16 个禽群中,最终产品中检测到的一种或多种血清型在所有上游样本中均未检出。三分之二含有鼠伤寒沙门氏菌血清的最终产品样本被分型为鼠伤寒减毒活疫苗菌株。农场和烫前的沙门氏菌与最终产品中观察到的沙门氏菌并不一致。这一数据强调了火鸡生产中血清型追踪的复杂性,并凸显了确定能准确代表火鸡产品中沙门氏菌的监测样本所面临的挑战。
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来源期刊
Journal of food protection
Journal of food protection 工程技术-生物工程与应用微生物
CiteScore
4.20
自引率
5.00%
发文量
296
审稿时长
2.5 months
期刊介绍: The Journal of Food Protection® (JFP) is an international, monthly scientific journal in the English language published by the International Association for Food Protection (IAFP). JFP publishes research and review articles on all aspects of food protection and safety. Major emphases of JFP are placed on studies dealing with: Tracking, detecting (including traditional, molecular, and real-time), inactivating, and controlling food-related hazards, including microorganisms (including antibiotic resistance), microbial (mycotoxins, seafood toxins) and non-microbial toxins (heavy metals, pesticides, veterinary drug residues, migrants from food packaging, and processing contaminants), allergens and pests (insects, rodents) in human food, pet food and animal feed throughout the food chain; Microbiological food quality and traditional/novel methods to assay microbiological food quality; Prevention of food-related hazards and food spoilage through food preservatives and thermal/non-thermal processes, including process validation; Food fermentations and food-related probiotics; Safe food handling practices during pre-harvest, harvest, post-harvest, distribution and consumption, including food safety education for retailers, foodservice, and consumers; Risk assessments for food-related hazards; Economic impact of food-related hazards, foodborne illness, food loss, food spoilage, and adulterated foods; Food fraud, food authentication, food defense, and foodborne disease outbreak investigations.
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