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Planktonic microbial community and biological metabolism in a subtropical drinking water river-reservoir system.
Liu, Lin; Xin, Yu; Guang, Shan-Bin; Lin, Guo-Fu; Liu, Chao-Xiang; Zeng, Li-Qin; He, Shao-Qin; Zheng, Yu-Ming; Chen, Guan-Yu; Zhao, Quan-Bao.
Afiliação
  • Liu L; Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: lliu@iue.ac.cn.
  • Xin Y; Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Guang SB; Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; College of Environment and Safety Engineering, Fuzhou University, Fuzhou, 350108, China.
  • Lin GF; Putian River Management Center, Putian, 351100, China.
  • Liu CX; Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; College of Environment and Safety Engineering, Fuzhou University, Fuzhou, 350108, China. Electronic address: liucx@fzu.edu.cn.
  • Zeng LQ; Dongzhen Reservoir Administration, Putian, 351100, China.
  • He SQ; Dongzhen Reservoir Administration, Putian, 351100, China.
  • Zheng YM; Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
  • Chen GY; Dongzhen Reservoir Administration, Putian, 351100, China.
  • Zhao QB; Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Environ Res ; 237(Pt 2): 116999, 2023 Nov 15.
Article em En | MEDLINE | ID: mdl-37634690
ABSTRACT
To understand the dynamics of planktonic microbial community and its metabolism processes in subtropical drinking water river-reservoir system with lower man-made pollution loading, this study selected Dongzhen river-reservoir system in Mulan Creek as object to investigate spatial-temporal characteristics of community profile and functional genes involved in biological metabolism, and to analyze the influence of environmental factors. The results indicated that Proteobacteria and Actinobacteria were the most diverse phyla with proportion ranges of 9%-80% in target system, and carbohydrate metabolism (5.76-7.12 × 10-2), amino acid metabolism (5.78-7.21 × 10-2) and energy metabolism (4.07-5.17 × 10-2) were found to be the dominant pathways of biological metabolism. Although there were variations in biological properties both spatially and temporally, seasonal variation had a greater influence on microbial community and biological metabolism, than locational differences. Regarding the role of environmental factors, this study revealed that microbial diversity could be affected by multiple abiotic factors, with total organic carbon, total phosphorus and temperature being more influential (absolute value of standardized regression weights >2.13). Stochastic processes dominated the microbial community assembly (R2 of neutral community model = 0.645), while niche-based processes differences represented by nutrients, temperature and pH level played secondary roles (R > 0.388, P < 0.01). Notably, the synergistic influences among the environmental factors accounted for the higher percentages of community variation (maximum proportion up to 17.6%). Additionally, pH level, temperature, and concentrations of dissolved oxygen, carbon and nitrogen were found to be the significant factors affecting carbon metabolism pathways (P < 0.05), yet only total organic carbon significantly affected on nitrogen transformation (P < 0.05). In summary, the microbial profile in reservoir is not completely dominated by that in feeding river, and planktonic microbial community and its metabolism in subtropical drinking water river-reservoir system are shaped by multiple abiotic and biotic factors with underlying interactions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2023 Tipo de documento: Article