City-wide metagenomic surveillance of food centres reveals location-specific microbial signatures and enrichment of antibiotic resistance genes

Jonathan J.Y. Teo, Eliza Xin, Pei Ho, Amanda Hui, Qi Ng, Shaun Hong Chuen How, Kern Rei Chng, Y. Ateş, Muhd Tarmidzi Fau’di, Kyaw Thu Aung, Niranjan Nagarajan
{"title":"City-wide metagenomic surveillance of food centres reveals location-specific microbial signatures and enrichment of antibiotic resistance genes","authors":"Jonathan J.Y. Teo, Eliza Xin, Pei Ho, Amanda Hui, Qi Ng, Shaun Hong Chuen How, Kern Rei Chng, Y. Ateş, Muhd Tarmidzi Fau’di, Kyaw Thu Aung, Niranjan Nagarajan","doi":"10.1101/2024.07.28.24310840","DOIUrl":null,"url":null,"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 several major Asian cities, public food centres are the main venue for food consumption and yet we lack a baseline understanding of their environmental microbiomes. We conducted city-wide metagenomic surveillance of food-centre microbiomes in Singapore (16 centres, n=240 samples) to provide a detailed map of microbial (bacteria, archaea, fungi, viruses) as well as non-microbial DNA abundances 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 (>2.5x;), 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.","PeriodicalId":506788,"journal":{"name":"medRxiv","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.07.28.24310840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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 several major Asian cities, public food centres are the main venue for food consumption and yet we lack a baseline understanding of their environmental microbiomes. We conducted city-wide metagenomic surveillance of food-centre microbiomes in Singapore (16 centres, n=240 samples) to provide a detailed map of microbial (bacteria, archaea, fungi, viruses) as well as non-microbial DNA abundances 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 (>2.5x;), 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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对全市食品中心的元基因组监测揭示了特定地点的微生物特征和抗生素耐药基因富集情况
在食品中心等人流密集的建筑环境中,微生物的分布可能会对公众健康产生重大影响,尤其是在全球范围内与食品和酵母有关的疾病爆发率不断上升的背景下。在亚洲的几个主要城市,公共食品中心是食品消费的主要场所,但我们对其环境微生物组缺乏基本的了解。我们对新加坡全市范围内的食品中心微生物组(16 个中心,240 个样本)进行了元基因组监测,以提供两个时间点的微生物(细菌、古菌、真菌、病毒)和非微生物 DNA 丰度的详细图谱。研究发现,与医院和办公室等其他环境相比,食物中心微生物组富含与食物相关的DNA特征,特定的食物微生物关联(如肠杆菌科和鱼类)和食物DNA可部分解释所观察到的微生物特征(44%的变异可解释)。机器学习分析确定了一小部分微生物物种(n=22),这些物种可作为各种食品中心的高度准确(>80%)的位置特异性特征,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,食品中心的抗生素耐药基因富集程度令人惊讶(>2.5 倍;),即使与医院环境相比,关键病原体物种(如肺炎克雷伯菌、肠杆菌属)的富集程度也高出一个数量级。这些结果凸显了各种生物和非生物因素在形成不同食品中心环境的独特微生物组特征方面的作用,以及利用元基因组监测了解感染和抗生素耐药基因传播风险的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reemergence of Oropouche virus between 2023 and 2024 in Brazil Towards Personalized Breast Cancer Risk Management: A Thai Cohort Study on Polygenic Risk Scores Hot Spring Residency and Disease Association: a Crossover Gene-Environment Interaction (GxE) Study in Taiwan Evaluation of the diagnostic value of YiDiXie™-SS, YiDiXie™-HS and YiDiXie™-D in renal cancer Dual exposure-by-polygenic score interactions highlight disparities across social groups in the proportion needed to benefit
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1