Denitrifying bacterial communities in surface-flow constructed wetlands during different seasons: characteristics and relationships with environment factors.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
01 03 2021
Historique:
received: 18 09 2020
accepted: 11 01 2021
entrez: 2 3 2021
pubmed: 3 3 2021
medline: 3 3 2021
Statut: epublish

Résumé

Denitrification is an important part of the nitrogen cycle and the key step to removal of nitrogen in surface-flow wetlands. In this study, we explored space-time analysis with high-throughput sequencing to elucidate the relationships between denitrifying bacteria community structures and environmental factors during different seasons. Our results showed that along the flow direction of different processing units, there were dynamic changes in physical and chemical indicators. The bacterial abundance indexes (ACEs) in May, August, and October were 686.8, 686.8, and 996.2, respectively, whereas the Shannon-Weiner indexes were 3.718, 4.303, and 4.432, respectively. Along the flow direction, the denitrifying bacterial abundance initially increased and then decreased subsequently during the same months, although diversity tended to increase. The abundance showed similar changes during the different months. Surface flow wetlands mainly contained the following denitrifying bacteria genus: unclassified Bacteria (37.12%), unclassified Proteobacteria (18.16%), Dechloromonas (16.21%), unranked environmental samples (12.51%), unclassified Betaproteobacteria (9.73%), unclassified Rhodocyclaceae (2.14%), and Rhodanobacter (1.51%). During different seasons, the same unit showed alternating changes, and during the same season, bacterial community structures were influenced by the second genus proportion in different processing units. ACEs were strongly correlated with temperature, dissolved oxygen, and pH. Bacterial diversity was strongly correlated with temperature, electrical conductivity, pH, and oxidation reduction potential. Denitrifying bacteria are greatly affected by environmental factors such as temperature and pH.

Identifiants

pubmed: 33649362
doi: 10.1038/s41598-021-82438-3
pii: 10.1038/s41598-021-82438-3
pmc: PMC7921683
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4918

Références

FEMS Microbiol Ecol. 2004 Sep 1;49(3):401-17
pubmed: 19712290
Sci Total Environ. 2013 Jan 15;443:725-32
pubmed: 23228718
PLoS One. 2014 Apr 04;9(4):e94076
pubmed: 24705618
Appl Environ Microbiol. 2004 Jan;70(1):588-96
pubmed: 14711691
Appl Environ Microbiol. 2007 Aug;73(16):5261-7
pubmed: 17586664
Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6
pubmed: 23193283
Syst Appl Microbiol. 2013 Oct;36(7):505-16
pubmed: 23972399
Bioresour Technol. 2005 Jul;96(11):1205-14
pubmed: 15734306
PLoS One. 2011;6(12):e27310
pubmed: 22194782
Bioresour Technol. 2017 Jan;224:214-221
pubmed: 27838318
Front Microbiol. 2014 Feb 04;5:28
pubmed: 24550899
Bioresour Technol. 2017 Mar;227:7-14
pubmed: 28012375
Nucleic Acids Res. 2008 Mar;36(4):e25
pubmed: 18263613
Bioresour Technol. 2018 Feb;250:290-298
pubmed: 29174907
Microbiol Mol Biol Rev. 1997 Dec;61(4):533-616
pubmed: 9409151
J Environ Sci (China). 2020 Nov;97:45-53
pubmed: 32933739
Microbiol Rev. 1982 Mar;46(1):43-70
pubmed: 7045624
Appl Microbiol Biotechnol. 2016 Feb;100(4):1999-2010
pubmed: 26526456
J Microbiol Methods. 2009 Jan;76(1):105-7
pubmed: 18922230
Appl Environ Microbiol. 2006 Mar;72(3):2102-9
pubmed: 16517659
Environ Sci Pollut Res Int. 2015 Aug;22(16):12347-54
pubmed: 25903184
Sci Total Environ. 2016 Feb 15;544:68-76
pubmed: 26657250
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2005;40(6-7):1201-14
pubmed: 15921276

Auteurs

Jia-Ming Wei (JM)

Beijing Construction Engineering Group Environmental Remediation Co. Ltd, Beijing, 100051, China.
National Engineering Laboratory for Site Remediation Technologies, Beijing, 100872, China.

Li-Juan Cui (LJ)

Institute of Wetland Research, Chinese Academy of Forestry, Beijing, 100091, China. wetlands108@126.com.
The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing, 100091, China. wetlands108@126.com.
Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing, 101399, China. wetlands108@126.com.

Wei Li (W)

Institute of Wetland Research, Chinese Academy of Forestry, Beijing, 100091, China.
The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing, 100091, China.
Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing, 101399, China.

Yun-Mei Ping (YM)

Institute of Wetland Research, Chinese Academy of Forestry, Beijing, 100091, China.
The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing, 100091, China.
Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing, 101399, China.

Wan Li (W)

Beijing Construction Engineering Group Environmental Remediation Co. Ltd, Beijing, 100051, China.
National Engineering Laboratory for Site Remediation Technologies, Beijing, 100872, China.

Classifications MeSH