Biofilm bacterial communities in urban drinking water distribution systems transporting waters with different purification strategies

Verfasser / Beitragende:
[Huiting Wu, Jingxu Zhang, Zilong Mi, Shuguang Xie, Chao Chen, Xiaojian Zhang]
Ort, Verlag, Jahr:
2015
Enthalten in:
Applied Microbiology and Biotechnology, 99/4(2015-02-01), 1947-1955
Format:
Artikel (online)
ID: 605503826
LEADER caa a22 4500
001 605503826
003 CHVBK
005 20210128100612.0
007 cr unu---uuuuu
008 210128e20150201xx s 000 0 eng
024 7 0 |a 10.1007/s00253-014-6095-7  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00253-014-6095-7 
245 0 0 |a Biofilm bacterial communities in urban drinking water distribution systems transporting waters with different purification strategies  |h [Elektronische Daten]  |c [Huiting Wu, Jingxu Zhang, Zilong Mi, Shuguang Xie, Chao Chen, Xiaojian Zhang] 
520 3 |a Biofilm formation in drinking water distribution systems (DWDS) has many adverse consequences. Knowledge of microbial community structure of DWDS biofilm can aid in the design of an effective control strategy. However, biofilm bacterial community in real DWDS and the impact of drinking water purification strategy remain unclear. The present study investigated the composition and diversity of biofilm bacterial community in real DWDSs transporting waters with different purification strategies (conventional treatment and integrated treatment). High-throughput Illumina MiSeq sequencing analysis illustrated a large shift in the diversity and structure of biofilm bacterial community in real DWDS. Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria, Nitrospirae, and Cyanobacteria were the major components of biofilm bacterial community. Proteobacteria (mainly Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria) predominated in each DWDS biofilm, but the compositions of the dominant proteobacterial classes and genera and their proportions varied among biofilm samples. Drinking water purification strategy could shape DWDS biofilm bacterial community. Moreover, Pearson's correlation analysis indicated that Actinobacteria was positively correlated with the levels of total alkalinity and dissolved organic carbon in tap water, while Firmicutes had a significant positive correlation with nitrite nitrogen. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Biofilm  |2 nationallicence 
690 7 |a Distribution system  |2 nationallicence 
690 7 |a Microbial community  |2 nationallicence 
690 7 |a Illumina sequencing  |2 nationallicence 
690 7 |a Pipe  |2 nationallicence 
690 7 |a Proteobacteria  |2 nationallicence 
700 1 |a Wu  |D Huiting  |u State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC), Tsinghua University, 100084, Beijing, China  |4 aut 
700 1 |a Zhang  |D Jingxu  |u State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, 100871, Beijing, China  |4 aut 
700 1 |a Mi  |D Zilong  |u State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC), Tsinghua University, 100084, Beijing, China  |4 aut 
700 1 |a Xie  |D Shuguang  |u State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, 100871, Beijing, China  |4 aut 
700 1 |a Chen  |D Chao  |u State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC), Tsinghua University, 100084, Beijing, China  |4 aut 
700 1 |a Zhang  |D Xiaojian  |u School of Environment, Tsinghua University, 100084, Beijing, China  |4 aut 
773 0 |t Applied Microbiology and Biotechnology  |d Springer Berlin Heidelberg  |g 99/4(2015-02-01), 1947-1955  |x 0175-7598  |q 99:4<1947  |1 2015  |2 99  |o 253 
856 4 0 |u https://doi.org/10.1007/s00253-014-6095-7  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00253-014-6095-7  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wu  |D Huiting  |u State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC), Tsinghua University, 100084, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhang  |D Jingxu  |u State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, 100871, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Mi  |D Zilong  |u State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC), Tsinghua University, 100084, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Xie  |D Shuguang  |u State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, 100871, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chen  |D Chao  |u State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC), Tsinghua University, 100084, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhang  |D Xiaojian  |u School of Environment, Tsinghua University, 100084, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Applied Microbiology and Biotechnology  |d Springer Berlin Heidelberg  |g 99/4(2015-02-01), 1947-1955  |x 0175-7598  |q 99:4<1947  |1 2015  |2 99  |o 253