2021
DOI: 10.3390/w13060852
|View full text |Cite
|
Sign up to set email alerts
|

Community Composition and Function of Bacteria in Activated Sludge of Municipal Wastewater Treatment Plants

Abstract: Municipal wastewater treatment plants (WWTPs) use functional microorganisms in activated sludge (AS) to reduce the environmental threat posed by wastewater. In this study, Illumina NovaSeq sequencing of 16S rRNA genes was performed to explore the microbial communities of AS at different stages of the two WWTP projects in Shenzhen, China. Results showed that Proteobacteria, Bacteroidetes, Acidobacteria, Firmicutes, and Nitrospirae were the dominant phyla in all the samples, with Proteobacteria being the most ab… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
11
1
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 34 publications
(15 citation statements)
references
References 39 publications
2
11
1
1
Order By: Relevance
“…Therefore, these dominant bacteria were thought to serve as the functional microbes for the removal of organic matter, N, and P in the XW- and SM-WWTPs. Compared with the activated sludge of other A 2 O and MBR process WWTPs, their dominant bacterial genera were Haliangium , Arcobacter , Ferruginibacter , and Cloacibacter [ 36 ], which was very different from our results. The main reasons for this discrepancy could be differences in the locations of the WWTPs and the quality of the influent.…”
Section: Resultscontrasting
confidence: 99%
See 2 more Smart Citations
“…Therefore, these dominant bacteria were thought to serve as the functional microbes for the removal of organic matter, N, and P in the XW- and SM-WWTPs. Compared with the activated sludge of other A 2 O and MBR process WWTPs, their dominant bacterial genera were Haliangium , Arcobacter , Ferruginibacter , and Cloacibacter [ 36 ], which was very different from our results. The main reasons for this discrepancy could be differences in the locations of the WWTPs and the quality of the influent.…”
Section: Resultscontrasting
confidence: 99%
“…Chloroflexi was the most important bacterial phylum for nitrite oxidation and denitrification in activated sludge [ 33 ], playing a role in the production of the filamentous scaffolding of flocs, carbohydrate breakdown, and sludge settleability [ 34 , 35 ]. In addition, Proteobacteria , Bacteroidetes , Acidobacteria , Firmicutes , and Nitrospirae were the dominant phyla at different stages of the two WWTP projects in Shenzhen, China [ 36 ], with Proteobacteria being the most abundant, which was consistent with the findings of this experiment. The differences in other dominant phyla were likely due to the different quality of the influent samples, and the inhibition of the growth of microorganisms by the HMs contained in the industrial wastewater that was used in this experiment.…”
Section: Resultssupporting
confidence: 86%
See 1 more Smart Citation
“…In each sample analysed, Proteobacteria was the most abundant type, which was also found in previous studies conducted on urban wastewater treatment plants [15,20,63,64]. Proteobacteria play a very important role in wastewater treatment by removing organic pollutants, nitrogen and phosphorus [15,65].…”
Section: Analysis Of Bacterial Biocenosis Composition In the Samples ...supporting
confidence: 73%
“…Firmicutes are Gram-negative bacteria which can degrade COD and are closely related to denitrification [32,38,39]. Xie et al [40] found that Proteobacteria, Bacteroidetes, Acidobacteria, Firmicutes, and Nitrospirae were the dominant phyla in the sludge of sewage treatment plant. This was similar to the microbial community structure in the pond, and the strains screened from the actual environment might have stronger environmental adaptability, better tolerance to the actual water body and shorten the denitrification cycle.…”
Section: Analysis Of the Microbiological Communitymentioning
confidence: 99%