ORIGINAL RESEARCH
Aquatic Microbial Community Characteristics
and Influencing Factors in Urban
Landscape Rivers
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1
School of Earth and Environment, Anhui University of Science and Technology, Huainan, China, 232001
2
Institute of Environment-friendly Materials and Occupational Health, Anhui University of Science and Technology,
Wuhu, China, 241003
3
Anhui Shuiyun Environmental Protection Co., Ltd., Wuhu, China, 241000
4
School of Civil Engineering and Architecture, Chuzhou University, Chuzhou, China, 239000
Submission date: 2022-05-18
Final revision date: 2022-07-18
Acceptance date: 2022-07-20
Online publication date: 2022-10-12
Publication date: 2022-12-08
Pol. J. Environ. Stud. 2022;31(6):5661-5673
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ABSTRACT
Urban rivers play an important role in ecological landscapes, but the influencing factors
of microbial community structure and diversity have not been further studied. This study took three
urban landscape river water bodies in Wuhu, Anhui Province, as examples. Determination of the
physical and chemical properties of the water samples collected was performed. The Illumina platform
was used for double-terminal sequencing of community DNA fragments. The specific composition
of samples at different taxonomic levels was obtained to determine the microbial community structure.
The influence of environmental differences on river water quality, bacterial community structure
and diversity of urban rivers was discussed. The results showed that (1) a maximum of 35 phyla were
detected in urban landscape water bodies, among which Proteobacteria were the most dominant phyla,
accounting for 63.62% on average. Then, Actinobacteria and Bacteroidetes were observed. The content
of cyanobacteria in the streams near the residential area is higher than that in the other two streams.
(2) Due to the different functional areas nearby, there were spatial differences among microorganisms
in urban river water. The abundance and diversity of bacteria in streams near residential areas decreased
significantly. The abundance and diversity of bacteria in river water samples with a more complex
surrounding environment were the highest. (3) DO, pH, NH4+-N, NO3--N and EC were key factors
affecting bacterial communities. Proteobacteria was positively correlated with DO. Actinobacteria were
positively correlated with NO3--N. At the genus classification level, Azospirillum was highly correlated
with DO and EC.