Chevez Zoila, Tobar Elisa, Weller Daniel, Rodrigues Camila
Department of Horticulture, Auburn University, Auburn, Alabama, USA.
Department of Food Science and Technology, Virginia Tech, Blacksburg, Virginia, USA; Department Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.
J Food Prot. 2025 Jun 23;88(7):100552. doi: 10.1016/j.jfp.2025.100552. Epub 2025 Jun 2.
Agricultural water can be a source of microbial contamination for preharvest produce that has been linked to outbreaks and recalls. Over a two-year period, seven agricultural ponds were evaluated bimonthly. A total of 347 samples were tested for EHEC and Salmonella presence using PCR screening. Generic E. coli was quantified and ranged from 1.00 to 4.00 log MPN/100 mL. Salmonella was detected in 6% of samples (21/347), and Kentucky was the most frequently isolated serotype. Public health concern serotypes, such as Newport and Hartford, were also isolated. EHEC biomarkers were detected in 83% (289/347) samples, with gene prevalence as follows: hly 68%, fliC 40%, eaeA 19%, rfbE 12%, stx2 10%, and stx1 4%. Microbial water quality and environmental factors were evaluated using conditional forest and regression analyses. Generic E. coli was negatively associated with the amount of developed land within 365 m of the sampling site and dissolved oxygen and positively associated with total rainfall during the 7 days preceding sampling and turbidity. Salmonella detection was positively associated with the amount of pasture within 30 m of the sampling site and total rainfall during the 7 days preceding sampling and negatively associated with rainfall 24 h prior to sampling. EHEC detection was positively associated with percentages of forest and wetland within a 304 m buffer from the sampling site, rainfall 48 h prior to sampling, and solar radiation, while negatively associated with percentages of developed land within a 91 m buffer from the sampling sites. This study provides baseline, longitudinal data on microbial hazards in Alabama agricultural ponds and informs growers on qualitative risk assessment of agricultural waterways.
农业用水可能是收获前农产品微生物污染的一个来源,这已与疫情爆发和召回事件相关联。在两年时间里,每两个月对七个农业池塘进行一次评估。使用聚合酶链式反应(PCR)筛查对总共347个样本检测是否存在肠出血性大肠杆菌(EHEC)和沙门氏菌。对总大肠菌群进行了定量分析,其范围为1.00至4.00对数MPN/100毫升。在6%的样本(21/347)中检测到沙门氏菌,肯塔基是最常分离出的血清型。还分离出了公共卫生关注的血清型,如新波特和哈特福德。在83%(289/347)的样本中检测到EHEC生物标志物,基因流行率如下:溶血素(hly)68%、鞭毛蛋白(fliC)40%、紧密黏附素(eaeA)19%、O抗原基因(rfbE)12%、志贺毒素2(stx2)10%和志贺毒素1(stx1)4%。使用条件森林和回归分析评估微生物水质和环境因素。总大肠菌群与采样点365米范围内已开发土地的面积以及溶解氧呈负相关,与采样前7天的总降雨量和浊度呈正相关。沙门氏菌的检测与采样点30米范围内牧场的面积以及采样前7天的总降雨量呈正相关,与采样前24小时的降雨量呈负相关。EHEC的检测与采样点304米缓冲区内森林和湿地的百分比、采样前48小时的降雨量以及太阳辐射呈正相关,而与采样点91米缓冲区内已开发土地的百分比呈负相关。本研究提供了阿拉巴马州农业池塘微生物危害的基线纵向数据,并为种植者提供了有关农业水道定性风险评估的信息。