Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome

Dustbins function as critical infrastructures for urban sanitation, creating a distinct breeding ground for microbial assemblages. However, there is no information regarding the dynamics of microbial communities and the underlying mechanism for community assembly on dustbin surfaces. Here, surface s...

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Main Authors: Xin-Li An, Mei-Rong Xu, Xiao-Fang Pan, Guan-Jing Cai, Cai-Xia Zhao, Hu Li, Zhi-Long Ye, Yong-Guan Zhu, Jian-Qiang Su
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Environment International
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412023002775
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author Xin-Li An
Mei-Rong Xu
Xiao-Fang Pan
Guan-Jing Cai
Cai-Xia Zhao
Hu Li
Zhi-Long Ye
Yong-Guan Zhu
Jian-Qiang Su
author_facet Xin-Li An
Mei-Rong Xu
Xiao-Fang Pan
Guan-Jing Cai
Cai-Xia Zhao
Hu Li
Zhi-Long Ye
Yong-Guan Zhu
Jian-Qiang Su
author_sort Xin-Li An
collection DOAJ
description Dustbins function as critical infrastructures for urban sanitation, creating a distinct breeding ground for microbial assemblages. However, there is no information regarding the dynamics of microbial communities and the underlying mechanism for community assembly on dustbin surfaces. Here, surface samples were collected from three sampling zones (business building, commercial street and residential community) with different types (kitchen waste, harmful waste, recyclables, and others) and materials (metallic and plastic); and distribution pattern and assembly of microbial communities were investigated by high-throughput sequencing. Bacterial and fungal communities showed the distinct community variations across sampling zones and waste sorting. Core community and biomarker species were significantly correlated with the spatial distribution of overall community. The detection of pathogens highlighted the potential risk of surface microbiome. Human skin, human feces and soil biomes were the potential source environments of the surface microbiomes. Neutral model prediction suggested that microbial community assembly was significantly driven by stochastic processes. Co-association patterns varied with sampling zones and waste types, and neutral amplicon sequence variants (ASVs) that fall within the 95 % confidence intervals of neutral model were largely involved in the stability of microbial networks. These findings improve our understanding of the distribution pattern and the underlying assembly of microbial community on the dustbin surface, thus enabling prospective prediction and assessment of urban microbiomes and their impacts on human health.
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spelling doaj.art-1bc79ba8bc99402d84f233163b256ba62023-06-18T05:00:22ZengElsevierEnvironment International0160-41202023-07-01177108004Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiomeXin-Li An0Mei-Rong Xu1Xiao-Fang Pan2Guan-Jing Cai3Cai-Xia Zhao4Hu Li5Zhi-Long Ye6Yong-Guan Zhu7Jian-Qiang Su8Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaFujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; College of Resource and Environmental Science, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaFujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaCollege of Science, Shantou University, Shantou, 515063, ChinaFujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaFujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaFujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaFujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; State Key Lab of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaFujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Corresponding author at: 1799 Jimei Road, Xiamen 361021, China.Dustbins function as critical infrastructures for urban sanitation, creating a distinct breeding ground for microbial assemblages. However, there is no information regarding the dynamics of microbial communities and the underlying mechanism for community assembly on dustbin surfaces. Here, surface samples were collected from three sampling zones (business building, commercial street and residential community) with different types (kitchen waste, harmful waste, recyclables, and others) and materials (metallic and plastic); and distribution pattern and assembly of microbial communities were investigated by high-throughput sequencing. Bacterial and fungal communities showed the distinct community variations across sampling zones and waste sorting. Core community and biomarker species were significantly correlated with the spatial distribution of overall community. The detection of pathogens highlighted the potential risk of surface microbiome. Human skin, human feces and soil biomes were the potential source environments of the surface microbiomes. Neutral model prediction suggested that microbial community assembly was significantly driven by stochastic processes. Co-association patterns varied with sampling zones and waste types, and neutral amplicon sequence variants (ASVs) that fall within the 95 % confidence intervals of neutral model were largely involved in the stability of microbial networks. These findings improve our understanding of the distribution pattern and the underlying assembly of microbial community on the dustbin surface, thus enabling prospective prediction and assessment of urban microbiomes and their impacts on human health.http://www.sciencedirect.com/science/article/pii/S0160412023002775Microbial assemblyDustbin microbiomePathogensNetwork analysisBiomarker
spellingShingle Xin-Li An
Mei-Rong Xu
Xiao-Fang Pan
Guan-Jing Cai
Cai-Xia Zhao
Hu Li
Zhi-Long Ye
Yong-Guan Zhu
Jian-Qiang Su
Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome
Environment International
Microbial assembly
Dustbin microbiome
Pathogens
Network analysis
Biomarker
title Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome
title_full Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome
title_fullStr Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome
title_full_unstemmed Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome
title_short Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome
title_sort local environment surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome
topic Microbial assembly
Dustbin microbiome
Pathogens
Network analysis
Biomarker
url http://www.sciencedirect.com/science/article/pii/S0160412023002775
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