Teo Jonathan J Y, Ho Eliza Xin Pei, Ng Amanda Hui Qi, How Shaun Hong Chuen, Chng Kern Rei, Ateş Yiğit Can, Fau'di Muhd Tarmidzi, Aung Kyaw Thu, Nagarajan Niranjan
Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
National Centre for Food Science, Singapore Food Agency, Singapore, Singapore.
NPJ Antimicrob Resist. 2025 Jul 8;3(1):63. doi: 10.1038/s44259-025-00132-0.
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.
在人流量大的建筑环境(如食品中心)中微生物的分布,可能会对公众健康产生重大影响,特别是在全球与食品和污染物相关的疾病暴发发生率不断上升的背景下。在许多亚洲主要城市,公共食品中心是日常食物消费的核心场所,但目前缺乏关于其环境微生物群落的基础认知。我们对新加坡的食品中心微生物群落进行了全市范围的宏基因组学调查,涵盖16个中心和240个样本,以绘制两个时间点上微生物(细菌、古菌、真菌、病毒)和非微生物DNA的丰度图谱。与医院和办公室等其他环境相比,食品中心的微生物群落富含与食物相关的DNA特征,特定的食物-微生物关联(如肠杆菌科与鱼类)以及食物DNA为观察到的微生物谱提供了部分解释(解释了44%的变异)。机器学习分析确定了一小部分微生物物种(n = 22),它们可作为各种食品中心高度准确(>80%)的特定场所特征,其中一些特征甚至在3年后仍然存在。对抗生素抗性基因(ARG)和病原体进行分析发现食品中心相对于其他非医疗环境中ARG惊人地富集(>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、肠杆菌属)也富集了一个数量级。这些结果凸显了多种生物和非生物因素在塑造不同食品中心环境独特微生物群落特征方面的作用,以及利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。