Evidence map›Paper›PMID 40629022›Full record

Articlenpj antimicrobials and resistance2025

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

Abstract read
In one paragraph

Article in npj antimicrobials and resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jonathan J Y TeoGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Eliza Xin Pei HoGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Amanda Hui Qi NgGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Shaun Hong Chuen HowGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Kern Rei ChngGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Yiğit Can AteşCollege of Engineering, Koç University, Istanbul, Turkey.
Muhd Tarmidzi Fau'diNational Centre for Food Science, Singapore Food Agency, Singapore, Singapore.
Kyaw Thu AungNational Centre for Food Science, Singapore Food Agency, Singapore, Singapore.
Niranjan NagarajanGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. nagarajann@gis.a-star.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID40629022
PMCPMC12238472

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.