A spatiotemporal analysis of the microbial community on the surface of public places in the urban areas of Xi'an city


Abstract

The dynamic changes of microbiota in urban public places have now attracted growing attention. The present study was conducted with the objective of investigating the microbiota, potential pathogenic microorganisms, virulence factors, mobile genetic elements (MGEs) and antibiotic resistance genes (ARGs) in public places in Xi'an. A total of 549 microorganisms were identified in 72 samples collected from six sites in Xi'an public places. The samples were dominated by Actinomycetota, Pseudomonadota and Bacteroidota. Furthermore, the composition of the community demonstrated significant variations across locations and seasons. Pseudomonadota exhibited the highest abundance in subterranean railways, while Actinomycetota predominated in academic institutions and Bacteroidota prevailed in commercial markets. Within the eukaryotic phylum, Ascomycota exhibited the highest prevalence in university settings. Among the viral phyla, Uroviricota was the most prevalent in urban environments. With regard to archaeal phyla, Euryarchaeota demonstrated the highest abundance in markets. The most prevalent phylum, Pseudomonadota, was observed to be most abundant in the autumn, followed by Actinomycetota in the spring, and Bacteroidota in the winter. Among the eukaryotic phyla, the Ascomycota exhibited the highest abundance during the winter months. Among the viral phyla, Uroviricota demonstrated the greatest abundance during the autumn season. With regard to archaeal phyla, Euryarchaeota demonstrated the highest levels of abundance during the summer months. Following a thorough analysis, a total of 66 pathogenic microbe phenotypes, 893 virulence factors, 133 MGE classes, 303 ARGs families and 126 antibiotic drug classes were identified. The findings of this study offer insights that could inform the enhancement of public health in Xi'an's public spaces, with a view to reducing exposure to potential pathogens associated with infectious diseases.
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