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Zhou Q, Huang J, Wen S, Lou Y, Qiu S, Li H, Zhou R, Tang J. Occurrence of pathogenic Mycobacteria avium and Pseudomonas aeruginosa in outdoor decorative fountain water and the associated microbial community. JOURNAL OF WATER AND HEALTH 2024; 22:1663-1676. [PMID: 39340379 DOI: 10.2166/wh.2024.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 07/31/2024] [Indexed: 09/30/2024]
Abstract
Outdoor decorative fountains usually attract residents to visit. However, opportunistic pathogens (OPs) can proliferate and grow in the stagnant fountain water, posing potential health risks to visitors due to the inhalation of spaying aerosols. In this study, the abundance of selected OPs and associated microbial communities in three large outdoor decorative fountain waters were investigated using quantitative PCR and 16S rRNA sequencing. The results indicated that Mycobacteria avium and Pseudomonas aeruginosa were consistently detected in all decorative fountain waters throughout the year. Redundancy analysis showed that OPs abundance was negatively correlated with water temperature but positively correlated with nutrient concentrations. The gene copy numbers of M. avium varied between 2.4 and 3.9 log10 (gene copies/mL), which were significantly lower than P. aeruginosa by several orders of magnitude, reaching 6.5-7.1 log10 (gene copies/mL) during winter. The analysis of taxonomic composition and prediction of functional potential also revealed pathogenic microorganisms and infectious disease metabolic pathways associated with microbial communities in different decorative fountain waters. This study provided a deeper understanding of the pathogenic conditions of the outdoor decorative fountain water, and future works should focus on accurately assessing the health risks posed by OPs in aerosols.
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Affiliation(s)
- Qiaomei Zhou
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Jingang Huang
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China; China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou 310018, China E-mail:
| | - Shilin Wen
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Yucheng Lou
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Shanshan Qiu
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Huanxuan Li
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Rongbing Zhou
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Junhong Tang
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
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Zhang L, Fang S, Hong W, Shen Z, Li S, Fang W. Differences in pathogenic community assembly processes and their interactions with bacterial communities in river and lake ecosystems. ENVIRONMENTAL RESEARCH 2023; 236:116847. [PMID: 37558117 DOI: 10.1016/j.envres.2023.116847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/04/2023] [Accepted: 08/05/2023] [Indexed: 08/11/2023]
Abstract
Pathogenic bacterial infections caused by water quality degradation are one of the most widespread environmental problems. Clarifying the structure of pathogens and their assembly mechanisms in lake ecosystems is vital to prevent the infestation of waterborne pathogens and maintain human health. However, the composition and assembly mechanisms of pathogenic bacterial communities in river and lake ecosystems are still poorly understood. In this study, we collected 17 water and 17 sediment samples from Lake Chaohu and its 11 inflow rivers. Sequencing of 16S rRNA genes was used to study bacterial pathogen communities. The results of the study showed that there was a significant difference (P < 0.05) in the composition of the pathogen community between riverine and lake habitats. Acinetobacter (36.49%) was the dominant bacterium in the river, whereas Flavobacterium (21.6%) was the most abundant bacterium in the lake. Deterministic processes (i.e., environmental filtering and species interaction) drove the assembly of pathogenic bacterial communities in the lake habitat, while stochastic processes shaped river pathogenic bacterial communities. Spearman correlation analysis showed that the α-diversity of bacterial communities was linearly and negatively linked to the relative abundance of pathogens. Having a higher bacterial community diversity had a suppressive effect on pathogen abundance. In addition, co-occurrence network analysis showed that bacterial communities were tightly linked to pathogenic bacteria. Pseudomonas aeruginosa and Salmonella enterica were identified as keystone species in an inflow water sampling network (W_FR), reducing the complexity of the network. These results provide a reference for assessments of water quality safety and pathogenic bacteria posing risks to human health in large freshwater lakes.
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Affiliation(s)
- Lei Zhang
- School of Civil Engineering and Architecture, Chuzhou University, Chuzhou, 239000, China.
| | - Shuqi Fang
- School of Civil Engineering and Architecture, Chuzhou University, Chuzhou, 239000, China
| | - Wenqing Hong
- School of Civil Engineering and Architecture, Chuzhou University, Chuzhou, 239000, China
| | - Zhen Shen
- Nanjing Institute of Geography and Limnology Chinese Academy of Sciences, Nanjing, 210008, China
| | - Shuo Li
- School of Civil Engineering and Architecture, Chuzhou University, Chuzhou, 239000, China
| | - Wangkai Fang
- School of Earth and Environment, Anhui University of Science & Technology, Huainan, 232000, China
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VanMensel D, Chaganti SR, Droppo IG, Weisener CG. Microbe-sediment interactions in Great Lakes recreational waters: Implications for human health risk. Environ Microbiol 2023; 25:1605-1623. [PMID: 36998158 DOI: 10.1111/1462-2920.16378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/19/2023] [Indexed: 04/01/2023]
Abstract
Microbial assessments of recreational water have traditionally focused on culturing or DNA-based approaches of the planktonic water column, omitting influence from microbe-sediment relationships. Sediment (bed and suspended) has been shown to often harbour levels of bacteria higher than the planktonic phase. The fate of suspended sediment (SS) bacteria is extensively related to transport dynamics (e.g., deposition) of the associated sediment/floc. When hydraulic energy allows, SS will settle, introducing new (potentially pathogenic) organisms to the bed. With turbulence, including waves, currents and swimmers, the risk of human ingestion is elevated due to resuspension of bed sediment and associated microbes. This research used multiplex nanofluidic reverse transcriptase quantitative PCR on RNA of bacteria associated with bed and SS to explore the active bacteria in freshwater shorelines. Bacterial genes of human health concern regarding recreational water use were targeted, such as faecal indicator bacteria (FIB), microbial source tracking genes and virulence factors from waterborne pathogens. Results indicate avian sources (i.e., gulls, geese) to be the largest nonpoint source of FIB associated with sediment in Great Lakes shorelines. This research introduces a novel approach to microbial water quality assessments and enhances our understanding of microbe-sediment dynamics and the quality of freshwater beaches.
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Affiliation(s)
- Danielle VanMensel
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Avenue, N9B 3P4, Windsor, Ontario, Canada
| | - Subba Rao Chaganti
- Cooperative Institute for Great Lakes Research, University of Michigan, 4840 South State Street, Ann Arbor, Michigan, 48108, USA
| | - Ian G Droppo
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Avenue, N9B 3P4, Windsor, Ontario, Canada
| | - Christopher G Weisener
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Avenue, N9B 3P4, Windsor, Ontario, Canada
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Sadeghi J, Hashemi Shahraki A, Chaganti SR, Heath D. Functional gene transcription variation in bacterial metatranscriptomes in large freshwater Lake Ecosystems: Implications for ecosystem and human health. ENVIRONMENTAL RESEARCH 2023; 231:116298. [PMID: 37268212 DOI: 10.1016/j.envres.2023.116298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 05/12/2023] [Accepted: 05/31/2023] [Indexed: 06/04/2023]
Abstract
Little is known regarding the temporal and spatial functional variation of freshwater bacterial community (BC) under non-bloom conditions, especially in winter. To address this, we used metatranscriptomics to assess bacterial gene transcription variation among three sites across three seasons. Our metatranscriptome data for freshwater BCs at three public beaches (Ontario, Canada) sampled in the winter (no ice), summer and fall (2019) showed relatively little spatial, but a strong temporal variation. Our data showed high transcriptional activity in summer and fall but surprisingly, 89% of the KEGG pathway genes and 60% of the selected candidate genes (52 genes) associated with physiological and ecological activity were still active in freezing temperatures (winter). Our data also supported the possibility of an adaptively flexible gene expression response of the freshwater BC to low temperature conditions (winter). Only 32% of the bacterial genera detected in the samples were active, indicating that the majority of detected taxa were non-active (dormant). We also identified high seasonal variation in the abundance and activity of taxa associated with health risks (i.e., Cyanobacteria and waterborne bacterial pathogens). This study provides a baseline for further characterization of freshwater BCs, health-related microbial activity/dormancy and the main drivers of their functional variation (such as rapid human-induced environmental change and climate change).
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Affiliation(s)
- Javad Sadeghi
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, Ontario, Canada
| | | | - Subba Rao Chaganti
- Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, MI, USA.
| | - Daniel Heath
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, Ontario, Canada; Department of Integrative Biology, University of Windsor, Windsor, ON, Canada.
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