Assessment of Bacterial Community Structure, Associated Functional Role, and Water Health in Full-Scale Municipal Wastewater Treatment Plants

被引:0
作者
Tyagi, Inderjeet [1 ]
Tyagi, Kaomud [1 ]
Ahamad, Faheem [2 ,3 ]
Bhutiani, Rakesh [3 ]
Kumar, Vikas [1 ]
机构
[1] Zool Survey India, Ctr DNA Taxon, Mol Systemat Div, Kolkata 700053, W Bengal, India
[2] Swami Vivekanand Subharti Univ, Keral Verma Subharti Coll Sci KVSCOS, Dept Environm Sci, Meerut 250005, Uttar Pradesh, India
[3] Gurukul Kangri Univ, Dept Environm Sci, Hardwar 249404, Uttrakhand, India
关键词
wastewater treatment plants; bacterial diversity; functional annotations; environmental variables; correlation; sustainable development goals; ANTIBIOTIC-RESISTANCE GENES; METAGENOMIC ANALYSIS; SP NOV; DIVERSITY; INSIGHTS; SULFATE; NITRATE;
D O I
10.3390/toxics13010003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The present study collected wastewater samples from fourteen (14) full-scale wastewater treatment plants (WWTPs) at different treatment stages, namely, primary, secondary, and tertiary, to understand the impact of WWTP processes on the bacterial community structure, their role, and their correlation with environmental variables (water quality parameters). The findings showed that the bacterial communities in the primary, secondary, and tertiary treatment stages are more or less similar. They are made up of 42 phyla, 84 classes, 154 orders, 212 families, and 268 genera. Proteobacteria, Bacteroidetes, Cloacimonetes, Firmicutes, Euryarchaeota, Verrucomicrobia, Cyanobacteria, Desulfomicrobium, Thauera, Zavarzinia, and Nitrospirae, among others, dominated the bacterial community structure in all treatment stages. The biochemical oxygen demand was 7-12 times, chemical oxygen demand (COD) was 6 times, and total suspended solids (TSS) was 3.5 times higher in the wastewater than what the Central Pollution Control Board (CPCB) in New Delhi, India, allows as standard discharge. The correlation analysis using the Pearson r matrix and canonical correspondence analysis (CCA) also confirmed the fact that these water quality parameters (especially BOD and COD) play a pivotal role in deciphering the community structure in WWTPs.
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相关论文
共 93 条
[1]   Correlation between bacterial community structure and performance efficiency of a full-scale wastewater treatment plant [J].
Al Ali, Amani A. ;
Naddeo, Vincenzo ;
Hasan, Shadi W. ;
Yousef, Ahmed F. .
JOURNAL OF WATER PROCESS ENGINEERING, 2020, 37
[2]  
[Anonymous], 2004, Sulphate in Drinking-water, Background Document for preparation of WHO Guidelines for Drinking-water Quality
[3]  
[Anonymous], Water quality in India (status and trends) 1990-2001
[4]  
APHA, 2017, STANDARD METHODS EXA
[5]   Metagenomics Insights Into the Microbial Diversity and Microbiome Network Analysis on the Heterogeneity of Influent to Effluent Water [J].
Azli, Bahiyah ;
Razak, Mohd Nasharudin ;
Omar, Abdul Rahman ;
Zain, Nor Azimah Mohd ;
Razak, Fatimah Abdul ;
Nurulfiza, I .
FRONTIERS IN MICROBIOLOGY, 2022, 13
[6]   Assessing the acute gastrointestinal effects of ingesting naturally occurring, high levels of sulfate in drinking water [J].
Backer, LC .
CRITICAL REVIEWS IN CLINICAL LABORATORY SCIENCES, 2000, 37 (04) :389-400
[7]  
Baun A., 2006, Sci. Total Environ, V366, P23
[8]   Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 [J].
Bolyen, Evan ;
Rideout, Jai Ram ;
Dillon, Matthew R. ;
Bokulich, NicholasA. ;
Abnet, Christian C. ;
Al-Ghalith, Gabriel A. ;
Alexander, Harriet ;
Alm, Eric J. ;
Arumugam, Manimozhiyan ;
Asnicar, Francesco ;
Bai, Yang ;
Bisanz, Jordan E. ;
Bittinger, Kyle ;
Brejnrod, Asker ;
Brislawn, Colin J. ;
Brown, C. Titus ;
Callahan, Benjamin J. ;
Caraballo-Rodriguez, Andres Mauricio ;
Chase, John ;
Cope, Emily K. ;
Da Silva, Ricardo ;
Diener, Christian ;
Dorrestein, Pieter C. ;
Douglas, Gavin M. ;
Durall, Daniel M. ;
Duvallet, Claire ;
Edwardson, Christian F. ;
Ernst, Madeleine ;
Estaki, Mehrbod ;
Fouquier, Jennifer ;
Gauglitz, Julia M. ;
Gibbons, Sean M. ;
Gibson, Deanna L. ;
Gonzalez, Antonio ;
Gorlick, Kestrel ;
Guo, Jiarong ;
Hillmann, Benjamin ;
Holmes, Susan ;
Holste, Hannes ;
Huttenhower, Curtis ;
Huttley, Gavin A. ;
Janssen, Stefan ;
Jarmusch, Alan K. ;
Jiang, Lingjing ;
Kaehler, Benjamin D. ;
Bin Kang, Kyo ;
Keefe, Christopher R. ;
Keim, Paul ;
Kelley, Scott T. ;
Knights, Dan .
NATURE BIOTECHNOLOGY, 2019, 37 (08) :852-857
[9]   Microbiome Analysis for Wastewater Surveillance during COVID-19 [J].
Brumfield, Kyle D. ;
Leddy, Menu ;
Usmani, Moiz ;
Cotruvo, Joseph A. ;
Tien, Ching-Tzone ;
Dorsey, Suzanne ;
Graubics, Karlis ;
Fanelli, Brian ;
Zhou, Isaac ;
Registe, Nathaniel ;
Dadlani, Manoj ;
Wimalarante, Malinda ;
Jinasena, Dilini ;
Abayagunawardena, Rushan ;
Withanachchi, Chiran ;
Huq, Anwar ;
Jutla, Antarpreet ;
Colwell, Rita R. .
MBIO, 2022, 13 (04)
[10]  
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]