Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing Analysis

Next-generation sequencing provides new insights into the diversity and structure of bacterial communities, as well as the fate of pathogens in wastewater treatment systems. In this study, the bacterial community structure and the presence of pathogenic bacteria in three wastewater treatment plants...

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Main Authors: Cecilia Oluseyi Osunmakinde, Ramganesh Selvarajan, Bhekie B. Mamba, Titus A.M. Msagati
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Microorganisms
Subjects:
Online Access:https://www.mdpi.com/2076-2607/7/11/506
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spelling doaj-1bf1e0e6d3134cd28ee994ca55535ebb2020-11-25T01:41:44ZengMDPI AGMicroorganisms2076-26072019-10-0171150610.3390/microorganisms7110506microorganisms7110506Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing AnalysisCecilia Oluseyi Osunmakinde0Ramganesh Selvarajan1Bhekie B. Mamba2Titus A.M. Msagati3Nanotechnology and Water Sustainability Research Unit, College of Science Engineering and Technology, University of South Africa, Florida Science Campus, Florida 1710, South AfricaCollege of Agriculture and Environmental Sciences, Department of Environmental Sciences, University of South Africa, Florida Science Campus, Florida 1710, South AfricaNanotechnology and Water Sustainability Research Unit, College of Science Engineering and Technology, University of South Africa, Florida Science Campus, Florida 1710, South AfricaNanotechnology and Water Sustainability Research Unit, College of Science Engineering and Technology, University of South Africa, Florida Science Campus, Florida 1710, South AfricaNext-generation sequencing provides new insights into the diversity and structure of bacterial communities, as well as the fate of pathogens in wastewater treatment systems. In this study, the bacterial community structure and the presence of pathogenic bacteria in three wastewater treatment plants across Gauteng province in South Africa were studied. The physicochemical results indicated that the quality of wastewater varies considerably from one plant to the others. <i>Proteobacteria, Actinobacteria, Firmicutes</i>, and <i>Chloroflexi</i> were the dominant phyla across the three wastewater treatment plants, while <i>Alphaproteobacteria</i>, <i>Actinobacteria</i>, <i>Bacilli</i>, and <i>Clostridia</i> were the dominant classes. The dominant bacterial functions were highly associated with carbohydrate, energy, and amino acid metabolism. In addition, potential pathogenic bacterial members identified from the influent/effluent samples included <i>Roseomonas</i>, <i>Bacillus</i>, <i>Pseudomonas</i>, <i>Clostridium</i>, <i>Mycobacterium</i>, <i>Methylobacterium</i>, and <i>Aeromonas</i>. The results of linear discriminant analysis (LDA) effect size analysis also confirmed that these bacterial pathogens were significantly abundant in the wastewater treatment systems. Further, the results of this study highlighted that the presence of bacterial pathogens in treated effluent pose a potential contamination risk, transmitted through soil, agriculture, water, or sediments. There is thus a need for continuous monitoring of potential pathogens in wastewater treatment plants (WWTPs) in order to minimize public health risk.https://www.mdpi.com/2076-2607/7/11/506high-throughput sequencingbacteriabiodiversitypathogenswastewater treatment plant
collection DOAJ
language English
format Article
sources DOAJ
author Cecilia Oluseyi Osunmakinde
Ramganesh Selvarajan
Bhekie B. Mamba
Titus A.M. Msagati
spellingShingle Cecilia Oluseyi Osunmakinde
Ramganesh Selvarajan
Bhekie B. Mamba
Titus A.M. Msagati
Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing Analysis
Microorganisms
high-throughput sequencing
bacteria
biodiversity
pathogens
wastewater treatment plant
author_facet Cecilia Oluseyi Osunmakinde
Ramganesh Selvarajan
Bhekie B. Mamba
Titus A.M. Msagati
author_sort Cecilia Oluseyi Osunmakinde
title Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing Analysis
title_short Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing Analysis
title_full Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing Analysis
title_fullStr Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing Analysis
title_full_unstemmed Profiling Bacterial Diversity and Potential Pathogens in Wastewater Treatment Plants Using High-Throughput Sequencing Analysis
title_sort profiling bacterial diversity and potential pathogens in wastewater treatment plants using high-throughput sequencing analysis
publisher MDPI AG
series Microorganisms
issn 2076-2607
publishDate 2019-10-01
description Next-generation sequencing provides new insights into the diversity and structure of bacterial communities, as well as the fate of pathogens in wastewater treatment systems. In this study, the bacterial community structure and the presence of pathogenic bacteria in three wastewater treatment plants across Gauteng province in South Africa were studied. The physicochemical results indicated that the quality of wastewater varies considerably from one plant to the others. <i>Proteobacteria, Actinobacteria, Firmicutes</i>, and <i>Chloroflexi</i> were the dominant phyla across the three wastewater treatment plants, while <i>Alphaproteobacteria</i>, <i>Actinobacteria</i>, <i>Bacilli</i>, and <i>Clostridia</i> were the dominant classes. The dominant bacterial functions were highly associated with carbohydrate, energy, and amino acid metabolism. In addition, potential pathogenic bacterial members identified from the influent/effluent samples included <i>Roseomonas</i>, <i>Bacillus</i>, <i>Pseudomonas</i>, <i>Clostridium</i>, <i>Mycobacterium</i>, <i>Methylobacterium</i>, and <i>Aeromonas</i>. The results of linear discriminant analysis (LDA) effect size analysis also confirmed that these bacterial pathogens were significantly abundant in the wastewater treatment systems. Further, the results of this study highlighted that the presence of bacterial pathogens in treated effluent pose a potential contamination risk, transmitted through soil, agriculture, water, or sediments. There is thus a need for continuous monitoring of potential pathogens in wastewater treatment plants (WWTPs) in order to minimize public health risk.
topic high-throughput sequencing
bacteria
biodiversity
pathogens
wastewater treatment plant
url https://www.mdpi.com/2076-2607/7/11/506
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