Barbieri Giorgia, Gigliucci Federica, Brambilla Gianfranco, Morabito Stefano
Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanità, Viale Regina Elena, 299 00161 Rome, Italy.
Environ Health (Wash). 2023 Dec 21;2(2):68-75. doi: 10.1021/envhealth.3c00070. eCollection 2024 Feb 16.
The recycling of biowaste from municipal wastewater treatment plants (WWTPs) in agriculture represents a circular economy-driven source of water and nutrients to support food system sustainability. However, biowaste may represent the source of emerging hazards of anthropogenic and animal origin that can transfer from agricultural soils to related food production, posing a risk to consumers' health, as in the case of outbreaks due to the consumption of ready-to-eat leafy vegetables contaminated with pathogenic . From this perspective, we propose a combined strategy based on both classical methods and culture-independent metagenomics approaches to identify microbial hazards relevant to foodborne diseases in WWTP-related biowastes. The virulence genes targeted by real-time PCR, performed before and after the enrichment of the raw samples, may represent a proxy for the viability of pathogens, the presence of which is then confirmed via classical microbiological methods. Bioinformatics analysis of shotgun metagenomic sequences could assess the presence of genes associated with resistance to specific antimicrobials followed by phenotypic confirmation via cultivation of the raw samples in the presence of the predicted molecules. Bacterial 16S rDNA analysis supports biowaste traceability based on their taxonomic composition. This strategy would support a "One Health" Action based on a cross-cutting assessment of emerging food-borne risks along the food chain.
将城市污水处理厂(WWTPs)产生的生物废料应用于农业循环利用,是一种由循环经济驱动的水和养分来源,有助于维持粮食系统的可持续性。然而,生物废料可能成为新出现的人为和动物源危害的源头,这些危害可从农业土壤转移至相关食品生产过程,对消费者健康构成风险,例如因食用受病原体污染的即食叶类蔬菜而引发的疾病爆发。从这个角度来看,我们提出了一种结合传统方法和非培养宏基因组学方法的综合策略,以识别与污水处理厂相关生物废料中食源性疾病相关的微生物危害。在对原始样本进行富集前后进行的实时PCR检测所针对的毒力基因,可能代表病原体活力的一个指标,然后通过传统微生物学方法确认其存在。鸟枪法宏基因组序列的生物信息学分析可以评估与特定抗菌药物耐药性相关基因的存在情况,随后通过在预测分子存在的情况下培养原始样本进行表型确认。细菌16S rDNA分析基于生物废料的分类组成支持其可追溯性。该策略将基于对食物链上新出现的食源性风险的跨领域评估,支持“同一个健康”行动。