Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment.

Jonathan J Y Teo, Eliza Xin Pei Ho, Amanda Hui Qi Ng, Shaun Hong Chuen How, Kern Rei Chng, Yiğit Can Ateş, Muhd Tarmidzi Fau'di, Kyaw Thu Aung, Niranjan Nagarajan
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Abstract

The distribution of microorganisms in built environments with high human traffic, such as food centres, can potentially have a significant impact on public health, particularly in the context of increasing worldwide incidence of food and fomite-related outbreaks. In many major Asian cities, public food centres are central to daily food consumption, yet there is a lack of baseline knowledge about their environmental microbiomes. We performed a city-wide metagenomic survey of food-centre microbiomes in Singapore, covering 16 centres and 240 samples, to map the abundances of microbial (bacteria, archaea, fungi, viruses) and non-microbial DNA across two timepoints. Food-centre microbiomes were found to be enriched in food-related DNA signatures compared to other environments, such as hospitals and offices, with specific food-microbe associations (e.g., Enterobacteriaceae and fish) and food DNA providing a partial explanation for the microbial profiles observed (44% of variation explained). Machine learning analysis identified a small set of microbial species (n = 22) that serve as highly accurate (>80%) location-specific signatures for various food centres, some of which persist even after 3 years. Profiling of antibiotic resistance genes (ARGs) and pathogens identified a surprising enrichment of ARGs in food centres relative to other non-healthcare environments (>2.5×), and an order of magnitude enrichment of key pathogenic species (e.g., Klebsiella pneumoniae, Enterobacter spp) even compared to hospital environments. These results highlight the contribution of diverse biotic and abiotic factors in shaping the unique microbiome profiles of different food-centre environments, and the potential for using metagenomic surveillance to understand the risk for infections and antibiotic resistance gene transmission.

全市食品中心的宏基因组监测揭示了当地微生物特征和抗生素耐药基因的富集。
在食品中心等人流量大的建筑环境中,微生物的分布可能对公众健康产生重大影响,特别是在世界范围内与食品和污染物有关的疾病爆发的发生率不断增加的情况下。在许多亚洲主要城市,公共食品中心是日常食品消费的中心,但对其环境微生物群缺乏基本知识。我们在新加坡对16个中心和240个样本进行了全市范围的食品中心微生物组宏基因组调查,绘制了两个时间点上微生物(细菌、古生菌、真菌、病毒)和非微生物DNA的丰度。研究发现,与其他环境(如医院和办公室)相比,以食物为中心的微生物组富含与食物相关的DNA特征,这些环境具有特定的食物微生物关联(例如肠杆菌科和鱼类),食物DNA可以部分解释观察到的微生物特征(解释了44%的变异)。机器学习分析确定了一小组微生物物种(n = 22),它们可以作为各种食品中心高度准确(>80%)的特定位置特征,其中一些甚至在3年后仍然存在。对抗生素耐药基因(ARGs)和病原体的分析发现,与其他非医疗环境相比,食品中心中ARGs的富集程度令人惊讶(>2.5倍),甚至与医院环境相比,关键致病物种(如肺炎克雷伯菌、肠杆菌)的富集程度也高了一个数量级。这些结果强调了不同的生物和非生物因素在塑造不同食物中心环境中独特的微生物组特征方面的贡献,以及使用宏基因组监测来了解感染风险和抗生素抗性基因传播的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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