Metagenomic Characterization of Bacterial Communities in Drinking Water Supply System of a Mega City

被引:23
作者
Saleem, Faizan [1 ]
Mustafa, Atif [2 ]
Kori, Junaid Ahmed [1 ]
Hussain, Muhammad Saad [1 ]
Azim, M. Kamran [1 ,3 ]
机构
[1] Univ Karachi, Int Ctr Chem & Biol Sci, Jamil ur Rahman Ctr Genome Res, Karachi, Pakistan
[2] NED Univ Engn & Technol, Dept Environm Engn, Karachi, Pakistan
[3] Mohammad Ali Jinnah Univ, Dept Biosci, Karachi, Pakistan
关键词
16S rDNA; Water quality; Water supply system; Arsenic; Karachi; Next generation sequencing; ARRANGEMENTS; DYNAMICS; QUALITY;
D O I
10.1007/s00248-018-1192-2
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Supplying safe water to consumers is vital for protection of public health. With population of >15 million, Karachi is the main economical hub of Pakistan. Lake Keenjhar serves as the main source of fresh water while Hub dam is the secondary water reservoir for Karachi. In this study, bacterial community of the drinking water supply system (DWSS) of Karachi was studied from source to tap using metagenomics approach. For this purpose, we collected 41 water samples from different areas of the city (n=38) and water reservoirs (n=3). 16S rDNA metagenomic sequencing of water samples revealed that 88% sequences were associated with Proteobacteria (52%), Planctomycetes (15%), Becteroidetes (12%), and Verrucomicrobia (6%). On the class level, -proteobacteria (6-56%) were found to be the most abundant followed by - (8-41%) and -proteobacteria (6-52%). On the genus level, substantial diversity was observed among the samples. Bacterial communities in water from Hub dam was found to be distantly related while among the residential towns, Lyari was highly distant from the others. Twenty-four bacterial genera were found to be exclusively present in residential area samples in comparison to the source waters which is suggestive of their resistance against treatment procedures and/or contamination. Metagenomic analysis revealed abundance of Pseudomonas, Legionella, Neisseria, Acinetobacter, Bosea, and Microcystis genera in residential areas water samples. The present metagenomic analysis of DWSS of Karachi has allowed the evaluation of bacterial communities in source water and the water being supplied to the city. Moreover, measurement of heavy metals in water samples from Karachi revealed arsenic concentration according to WHO standards which is in contrast of recent study which reported extensive arsenic contamination in aquifers in the Indus valley plain. To the best of our knowledge, this is the first metagenomic study of DWSS of Karachi.
引用
收藏
页码:899 / 910
页数:12
相关论文
共 50 条
[21]   Metagenomic analysis of drinking water samples collected from treatment plants of Hyderabad City and Mehran University Employees Cooperative Housing Society [J].
Junaid Ahmed Kori ;
Rasool Bux Mahar ;
Muhammad Raffae Vistro ;
Huma Tariq ;
Ishtiaq Ahmad Khan ;
Ramesh Goel .
Environmental Science and Pollution Research, 2019, 26 :29052-29064
[22]   Pyrosequencing analysis of bacterial communities in drinking water biofilters receiving influents of different types [J].
Liao, Xiaobin ;
Chen, Chao ;
Wang, Zhao ;
Wan, Rui ;
Chang, Chih-Hsiang ;
Zhang, Xiaojian ;
Xie, Shuguang .
PROCESS BIOCHEMISTRY, 2013, 48 (04) :703-707
[23]   Variation in the Structure and Composition of Bacterial Communities within Drinking Water Fountains in Melbourne, Australia [J].
Blyth, Warren Evan ;
Shahsavari, Esmaeil ;
Aburto-Medina, Arturo ;
Ball, Andrew S. ;
Osborn, Andrew Mark .
WATER, 2022, 14 (06)
[24]   Spatiotemporal trends in particle-associated microbial communities in a chlorinated drinking water distribution system [J].
Ferrebee, Madison ;
Osborne, Erika ;
Garner, Emily .
PLOS WATER, 2023, 2 (11)
[25]   Identifying the underlying causes of biological instability in a full-scale drinking water supply system [J].
Nescerecka, Alina ;
Juhna, Talis ;
Hammes, Frederik .
WATER RESEARCH, 2018, 135 :11-21
[26]   A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System [J].
Wu, Di ;
Wang, Hao ;
Seidu, Razak .
IEEE 17TH INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP / IEEE 17TH INT CONF ON PERVAS INTELLIGENCE AND COMP / IEEE 5TH INT CONF ON CLOUD AND BIG DATA COMP / IEEE 4TH CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2019, :1090-1092
[27]   Characterization of eukaryotic microbiome and associated bacteria communities in a drinking water treatment plant [J].
Soler, Patricia ;
Moreno-Mesonero, Laura ;
Zornoza, Andres ;
Javier Macian, V ;
Moreno, Yolanda .
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 797
[28]   Consideration of the Possibility of Using Ozone in the Treatment of Drinking Water in the "Tilava" Water Supply System [J].
Blagojevic, Jovana ;
Orasanin, Goran ;
Simic, Stojan .
NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION IV, 2021, 233 :964-971
[29]   DEVELOPMENT AND IMPLEMENTATION OF A WATER SAFETY PLAN FOR THE DRINKING WATER SUPPLY SYSTEM OF FLORENCE, ITALY [J].
Muoio, Roberta ;
Rossi, Leonardo ;
Santianni, Daniela ;
Caretti, Cecilia ;
Lubello, Claudio ;
Ferretti, Emanuele .
ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2020, 19 (10) :1813-1822
[30]   Bacterial release from pipe biofilm in a full-scale drinking water distribution system [J].
Chan, Sandy ;
Pullerits, Kristjan ;
Keucken, Alexander ;
Perssonz, Kenneth M. ;
Paul, Catherine J. ;
Radstrom, Peter .
NPJ BIOFILMS AND MICROBIOMES, 2019, 5 (1)