Exploring bacterial communities and biodegradation genes in activated sludge from pesticide wastewater treatment plants via metagenomic analysis

2018 ◽  
Vol 243 ◽  
pp. 1206-1216 ◽  
Author(s):  
Hua Fang ◽  
Houpu Zhang ◽  
Lingxi Han ◽  
Jiajia Mei ◽  
Qiqing Ge ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Bacterial Communities ◽  
Wastewater Treatment Plants ◽  
Metagenomic Analysis ◽  
Biodegradation Genes

scholarly journals The capacity of wastewater treatment plants drives bacterial community structure and its assembly

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Young Kyung Kim ◽  
Keunje Yoo ◽  
Min Sung Kim ◽  
Il Han ◽  
Minjoo Lee ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Community Structure ◽  
Bacterial Community ◽  
Activated Sludge ◽  
Community Assembly ◽  
Bacterial Communities ◽  
Wastewater Treatment Plants ◽  
High Capacity ◽  
Operating Conditions ◽  
Rrna Gene

Abstract Bacterial communities in wastewater treatment plants (WWTPs) affect plant functionality through their role in the removal of pollutants from wastewater. Bacterial communities vary extensively based on plant operating conditions and influent characteristics. The capacity of WWTPs can also affect the bacterial community via variations in the organic or nutrient composition of the influent. Despite the importance considering capacity, the characteristics that control bacterial community assembly are largely unknown. In this study, we discovered that bacterial communities in WWTPs in Korea and Vietnam, which differ remarkably in capacity, exhibit unique structures and interactions that are governed mainly by the capacity of WWTPs. Bacterial communities were analysed using 16S rRNA gene sequencing and exhibited clear differences between the two regions, with these differences being most pronounced in activated sludge. We found that capacity contributed the most to bacterial interactions and community structure, whereas other factors had less impact. Co-occurrence network analysis showed that microorganisms from high-capacity WWTPs are more interrelated than those from low-capacity WWTPs, which corresponds to the tighter clustering of bacterial communities in Korea. These results will contribute to the understanding of bacterial community assembly in activated sludge processing.

scholarly journals Can DNA sequencing show differences between microbial communities in Polish and Danish wastewater treatment plants?

2017 ◽  
Vol 75 (6) ◽  
pp. 1447-1454 ◽  
Author(s):  
A. Miłobędzka ◽  
A. Muszyński
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Microbial Communities ◽  
Ribosomal Rna ◽  
Bacterial Communities ◽  
Wastewater Treatment Plants ◽  
Oxygen Demand ◽  
Microbial Populations ◽  
Chemical Oxygen Demand Removal ◽  
Microbial Community Structures

The microbial populations in the activated sludge of two Polish wastewater treatment plants (WWTPs) were identified and quantified using Illumina sequencing of 16S ribosomal RNA amplicons over a 2-year period. Their dynamics over time were compared to Danish WWTPs (data collected in previous studies by Center for Microbial Communities, Aalborg University). The bacterial communities in Polish and Danish WWTPs were similar to each other, but the microbial diversity in Polish WWTPs was lower. The dominant genera in Polish WWTPs were more abundant than in Danish WWTPs; 30 of them constituted more than half the of activated sludge community. Polish WWTPs showed a higher abundance of bacteria involved in nitrogen and chemical oxygen demand removal (Proteobacteria and Bacteroidetes), while polyphosphate-acculumating bacteria were the dominant bacterial group in Danish plants. The microbial community structures in the examined Polish WWTPs were relatively similar to each other and showed strong seasonal variations which are not normally observed in Danish WWTPs.

The first sequenced Sphaerotilus natans bacteriophage– characterization and potential to control its filamentous bacterium host

2021 ◽  
Vol 97 (4) ◽  
Author(s):  
Rute Ferreira ◽  
Rui Amado ◽  
Jorge Padrão ◽  
Vânia Ferreira ◽  
Nicolina M Dias ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Bacterial Communities ◽  
Potential Application ◽  
Deleterious Effect ◽  
Wastewater Treatment Plants ◽  
Lytic Phage ◽  
Filamentous Bacterium ◽  
Sphaerotilus Natans ◽  
Isolation And Characterization

ABSTRACT Bacteriophages (phages) are ubiquitous entities present in every conceivable habitat as a result of their bacterial parasitism. Their prevalence and impact in the ecology of bacterial communities and their ability to control pathogens make their characterization essential, particularly of new phages, improving knowledge and potential application. The isolation and characterization of a new lytic phage against Sphaerotilus natans strain DSM 6575, named vB_SnaP-R1 (SnaR1), is here described. Besides being the first sequenced genome of a Sphaerotilus natans infecting phage, 99% of its 41507 bp genome lacks homology with any other sequenced phage, revealing its uniqueness and previous lack of knowledge. Moreover, SnaR1 is the first Podoviridae phage described infecting this bacterium. Sphaerotilus natans is an important filamentous bacterium due to its deleterious effect on wastewater treatment plants (WWTP) and thus, phages may play a role as novel biotechnological tools against filamentous overgrowth in WWTP. The lytic spectrum of SnaR1 was restricted to its host strain, infecting only one out of three S. natans strains and infection assays revealed its ability to reduce bacterial loads. Results suggest SnaR1 as the prototype of a new phage genus and demonstrates its potential as a non-chemical alternative to reduce S. natans DSM 6575 cells.

scholarly journals Deep learning-based morphology classification of activated sludge flocs in wastewater treatment plants

2021 ◽  
Author(s):  
Hisashi Satoh ◽  
Yukari Kashimoto ◽  
Naoki Takahashi ◽  
Takashi Tsujimura
Keyword(s):  
Wastewater Treatment ◽  
Deep Learning ◽  
Activated Sludge ◽  
Morphological Change ◽  
Wastewater Treatment Plants ◽  
Filamentous Bacteria ◽  
Sludge Flocs

A deep learning-based two-label classifier 1 recognized a 20% morphological change in the activated flocs. Classifier-2 quantitatively recognized an abundance of filamentous bacteria in activated flocs.

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