Detecting Human Bacterial Pathogens in Wastewater Treatment Plants by a High-Throughput Shotgun Sequencing Technique

2013 ◽  
Vol 47 (10) ◽  
pp. 5433-5441 ◽  
Author(s):  
Lin Cai ◽  
Tong Zhang
Keyword(s):  
Wastewater Treatment ◽  
High Throughput ◽  
Wastewater Treatment Plants ◽  
Bacterial Pathogens ◽  
Shotgun Sequencing ◽  
Sequencing Technique

Foam shares antibiotic resistomes and bacterial pathogens with activated sludge in wastewater treatment plants

2021 ◽  
Vol 408 ◽  
pp. 124855
Author(s):  
Houpu Zhang ◽  
Zihan Zhang ◽  
Jiajin Song ◽  
Lin Cai ◽  
Yunlong Yu ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plants ◽  
Bacterial Pathogens

scholarly journals Emerging investigator series: automated single-nanoparticle quantification and classification: a holistic study of particles into and out of wastewater treatment plants in Switzerland

2021 ◽  
Author(s):  
Kamyar Mehrabi ◽  
Ralf Kaegi ◽  
Detlef Günther ◽  
Alexander Gundlach-Graham
Keyword(s):  
Wastewater Treatment ◽  
High Throughput ◽  
Single Particle ◽  
Wastewater Treatment Plant ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Metal Nanoparticle ◽  
Single Nanoparticle ◽  
Plant Samples

High-throughput single-particle ICP-TOFMS analyses are used to quantify and classify diverse metal nanoparticle types from wastewater treatment plant samples.

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

2019 ◽  
Vol 7 (11) ◽  
pp. 506 ◽  
Author(s):  
Cecilia Oluseyi Osunmakinde ◽  
Ramganesh Selvarajan ◽  
Bhekie B. Mamba ◽  
Titus A.M. Msagati
Keyword(s):  
Wastewater Treatment ◽  
Pathogenic Bacteria ◽  
High Throughput Sequencing ◽  
Wastewater Treatment Plants ◽  
Bacterial Pathogens ◽  
Size Analysis ◽  
Sequencing Analysis ◽  
Linear Discriminant ◽  
Treated Effluent ◽  
Wastewater Treatment Systems

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. Proteobacteria, Actinobacteria, Firmicutes, and Chloroflexi were the dominant phyla across the three wastewater treatment plants, while Alphaproteobacteria, Actinobacteria, Bacilli, and Clostridia 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 Roseomonas, Bacillus, Pseudomonas, Clostridium, Mycobacterium, Methylobacterium, and Aeromonas. 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.

Sign in / Sign up

Export Citation Format

Share Document