Department of Food Hygiene and Technology, Universidad de León, León, Spain.
APC Microbiome Ireland, University College Cork, Cork, Ireland; Teagasc Food Research Centre, Fermoy, Co. Cork, Ireland.
Food Res Int. 2023 Nov;173(Pt 2):113442. doi: 10.1016/j.foodres.2023.113442. Epub 2023 Sep 10.
In the last years, advances in high throughput sequencing technologies have opened the possibility to broaden environmental monitoring activities in facilities processing food, offering expanded opportunities for characterizing in an untargeted manner the microbiome and resistome of foods and food processing environments (FPE) with huge potential benefits in food safety management systems. Here the microbiome and resistome of FPE from slaughterhouses (n = 3), dairy (n = 12) and meat (n = 10) processing plants were assessed through whole metagenome sequencing of 2 composite samples for each facility, comprising 10 FPE swabs taken from food contact surfaces and 10 FPE samples from non-food contact surfaces, respectively. FPE from slaughterhouses had more diverse microbiomes and resistomes, while FPE from dairy processing plants showed the highest β-dispersion, consistent with a more heterogeneous microbiome and resistome composition. The predominant bacterial genera depended on the industry type, with Pseudomonas and Psychrobacter being highly dominant in surfaces from slaughterhouses and meat industries, while different lactic acid bacteria predominated in dairy industries. The most abundant antimicrobial resistance genes (ARG) found were associated with resistance to aminoglycosides, tetracyclines and quaternary ammonium compounds (QAC). ARGs relating to resistance to aminoglycosides and tetracyclines were significantly more prevalent in slaughterhouses than in food processing plants, while QAC resistance genes were particularly abundant in some food contact surfaces from dairy and meat processing plants, suggesting that daily sanitation under suboptimal conditions may be selecting for persistent microbiota tolerant to these biocides in some facilities. The taxonomic mapping of ARG pointed to specific bacterial genera, such as Escherichia, Bacillus, or Staphylococcus, as carriers of the most relevant resistance determinants. About 63% of all ARG reads were assigned to contigs classified as plasmid-associated, indicating that the resistome of FPE may be strongly shaped through the spread of mobile genetic elements. Overall, the relevance of FPE as reservoirs of ARG was confirmed and it was demonstrated that next generation sequencing technologies allowing a deep characterisation of sources and routes of spread of microorganisms and antimicrobial resistance determinants in food industry settings hold promise to be integrated in monitoring and food safety management programmes.
在过去的几年中,高通量测序技术的进步为拓宽食品加工设施的环境监测活动提供了可能性,为以非靶向方式描述食品和食品加工环境(FPE)的微生物组和抗药性组提供了巨大的机会,这在食品安全管理系统中具有巨大的潜在益处。在这里,通过对每个设施的 2 个复合样本进行全基因组测序,评估了来自屠宰场(n=3)、乳制品(n=12)和肉类(n=10)加工厂的 FPE 的微生物组和抗药性组。每个设施的复合样本包括从食品接触面采集的 10 个 FPE 拭子和从非食品接触面采集的 10 个 FPE 样本。屠宰场的 FPE 具有更多样化的微生物组和抗药性组,而乳制品加工厂的 FPE 显示出最高的β分散度,这与更具异质性的微生物组和抗药性组组成一致。主要的细菌属取决于行业类型,在屠宰场和肉类行业中,假单胞菌和嗜冷菌高度占主导地位,而不同的乳酸菌则在乳制品行业中占主导地位。发现的最丰富的抗生素抗性基因(ARG)与对抗生素的抗性有关,如氨基糖苷类、四环素类和季铵化合物(QAC)。与氨基糖苷类和四环素类抗性相关的 ARG 在屠宰场比在食品加工厂更为普遍,而 QAC 抗性基因在乳制品和肉类加工厂的一些食品接触表面特别丰富,这表明在某些设施中,日常卫生条件不佳可能会选择对这些杀生物剂具有耐受性的持久微生物群。ARG 的分类学映射指向特定的细菌属,如大肠杆菌、芽孢杆菌或葡萄球菌,作为最相关抗性决定因素的载体。大约 63%的所有 ARG 读数被分配到被归类为质粒相关的连续统中,这表明 FPE 的抗药性组可能受到移动遗传元件传播的强烈影响。总的来说,证实了 FPE 作为 ARG 库的相关性,并证明允许深入描述食品工业环境中微生物和抗微生物抗性决定因素的来源和传播途径的下一代测序技术有望被整合到监测和食品安全管理计划中。