Activated sludge microbial communities influencing the performance of a full-scale wastewater treatment plant treating optoelectronic wastewater

被引:3
作者
Gao, Jingsi [1 ]
Yang, Nan [2 ]
Liao, Hehuan [3 ]
Yuan, Hao [4 ]
Zhu, Jia [1 ]
机构
[1] Shenzhen Polytech, Sch Mat & Environm Engn, Shenzhen 518055, Guangdong, Peoples R China
[2] Beijing Univ Chem Technol, Coll Chem Engn, Beijing 100029, Peoples R China
[3] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China
[4] Shenzhen Huaxing Photoelect Technol Co Ltd, Shenzhen 518055, Guangdong, Peoples R China
来源
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING | 2022年 / 10卷 / 01期
关键词
Activated sludge; Indicator taxa; Microbial community; Optoelectronic wastewater; NITROGEN REMOVAL; SP-NOV; PARTIAL NITRIFICATION; MEMBRANE BIOREACTOR; OXIDIZING BACTERIA; DIVERSITY; DYNAMICS; GROWTH; REACTOR;
D O I
10.1016/j.jece.2021.106833
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Microbial communities of activated sludge play vital roles in the biological treatment of wastewater. Next-generation sequencing (NGS) has assisted in increasing our knowledge of the activated sludge microbial communities treating various municipal and industrial wastewaters. However, our understanding of microbial communities in optoelectronic wastewater treatment systems remains limited. This study explored the microbial community dynamics of a full-scale activated sludge process that treated optoelectmnic wastewater. Samples collected during periods of different system performance were sequenced via NGS of 16 S rRNA amplicons using the Illumina HiSeq platform. Indicator taxa analyses revealed that bacterial genera (e.g., Thauera) resisted the extreme ionizing radiation, and those capable of degrading aromatic compounds (e.g., Acinetobacter) were substantially lower in diversity and abundance during the low-performance period as compared to the high-performance period. In addition, the low-performance group lacked bacterial genera that are important in the nitrification process (e.g., Nitrospira). Moreover, co-occurrence network analyses indicated that the average path length and network diameter of microbial taxa were substantially shorter during the high-performance period, indicating efficient information dissemination among taxa. Collectively, these findings may aid in the design and/or optimization of systems with improved performance in treating optoelectronic industrial wastewater.
引用
收藏
页数:9
相关论文
共 55 条
  • [1] Balance of Neutral and Deterministic Components in the Dynamics of Activated Sludge Floc Assembly
    Ayarza, Joaquin M.
    Erijman, Leonardo
    [J]. MICROBIAL ECOLOGY, 2011, 61 (03) : 486 - 495
  • [2] Agricultural intensification reduces microbial network complexity and the abundance of keystone taxa in roots
    Banerjee, Samiran
    Walder, Florian
    Buechi, Lucie
    Meyer, Marcel
    Held, Alain Y.
    Gattinger, Andreas
    Keller, Thomas
    Charles, Raphael
    van der Heijden, Marcel G. A.
    [J]. ISME JOURNAL, 2019, 13 (07) : 1722 - 1736
  • [3] Using network analysis to explore co-occurrence patterns in soil microbial communities
    Barberan, Albert
    Bates, Scott T.
    Casamayor, Emilio O.
    Fierer, Noah
    [J]. ISME JOURNAL, 2012, 6 (02) : 343 - 351
  • [4] Deciphering microbial interactions and detecting keystone species with co-occurrence networks
    Berry, David
    Widder, Stefanie
    [J]. FRONTIERS IN MICROBIOLOGY, 2014, 5
  • [5] Microbial community and treatment ability investigation in AOAO process for the optoelectronic wastewater treatment using PCR-DGGE biotechnology
    Chen, Hsi-Jien
    Lin, Yi-Zi
    Fanjiang, Jen-Mao
    Fan, Chihhao
    [J]. BIODEGRADATION, 2013, 24 (02) : 227 - 243
  • [6] Effects of Extreme Precipitation to the Distribution of Infectious Diseases in Taiwan, 1994-2008
    Chen, Mu-Jean
    Lin, Chuan-Yao
    Wu, Yi-Ting
    Wu, Pei-Chih
    Lung, Shih-Chun
    Su, Huey-Jen
    [J]. PLOS ONE, 2012, 7 (06):
  • [7] High-strength nitrogen removal of opto-electronic industrial wastewater in membrane bioreactor - a pilot study
    Chen, TK
    Ni, CH
    Chen, JN
    Lin, J
    [J]. WATER SCIENCE AND TECHNOLOGY, 2003, 48 (01) : 191 - 198
  • [8] Effect of salinity on removal performance and activated sludge characteristics in sequencing batch reactors
    Chen, Yujuan
    He, Huijun
    Liu, Hongyu
    Li, Huiru
    Zeng, Guangming
    Xia, Xing
    Yang, Chunping
    [J]. BIORESOURCE TECHNOLOGY, 2018, 249 : 890 - 899
  • [9] Csardi G., 2006, INT J COMPLEX SYST, V1695, DOI DOI 10.3724/SP.J.1087.2009.02191
  • [10] Complete nitrification by Nitrospira bacteria
    Daims, Holger
    Lebedeva, Elena V.
    Pjevac, Petra
    Han, Ping
    Herbold, Craig
    Albertsen, Mads
    Jehmlich, Nico
    Palatinszky, Marton
    Vierheilig, Julia
    Bulaev, Alexandr
    Kirkegaard, Rasmus H.
    von Bergen, Martin
    Rattei, Thomas
    Bendinger, Bernd
    Nielsen, Per H.
    Wagner, Michael
    [J]. NATURE, 2015, 528 (7583) : 504 - +