Next Generation High Throughput Sequencing to Assess Microbial Communities: An Application Based on Water Quality

被引:22
作者
Wani, Gowher A. [1 ]
Khan, Mohd Asgar [1 ]
Dar, Mudasir A. [1 ]
Shah, Manzoor A. [1 ]
Reshi, Zafar A. [1 ]
机构
[1] Univ Kashmir, Dept Bot, Srinagar 190006, Jammu & Kashmir, India
关键词
Metagenomics; Next generation sequencing; Water quality; Bacterial community composition; Public health; SOURCE TRACKING; METAGENOMIC ANALYSIS; SURFACE WATERS; DIVERSITY; PATHOGENS; VIRUSES; DNA;
D O I
10.1007/s00128-021-03195-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Traditional techniques to identify different contaminants (biological or chemical) in the waters are slow, laborious, and can require specialized expertise. Hence, the rapid determination of water quality using more sensitive and reliable metagenomic based approaches attains special importance. Metagenomics deals with the study of genetic material that is recovered from microbial communities present in environmental samples. In traditional techniques cultivation-based methodologies were used to describe the diversity of microorganisms in environmental samples. It has failed to function as a robust marker because of limited taxonomic and phylogenetic implications. In this backdrop, high-throughput DNA sequencing approaches have proven very powerful in microbial source tracking because of investigating the full variety of genome-based analysis such as microbial genetic diversity and population structure played by them. Next generation sequencing technologies can reveal a greater proportion of microbial communities that have not been reported earlier by traditional techniques. The present review highlights the shift from traditional techniques for the basic study of community composition to next-generation sequencing (NGS) platforms and their potential applications to the biomonitoring of water quality in relation to human health.
引用
收藏
页码:727 / 733
页数:7
相关论文
共 52 条
[1]   Complementary Metagenomic Approaches Improve Reconstruction of Microbial Diversity in a Forest Soil [J].
Alteio, L., V ;
Schulz, F. ;
Seshadri, R. ;
Varghese, N. ;
Rodriguez-Reillo, W. ;
Ryan, E. ;
Goudeau, D. ;
Eichorst, S. A. ;
Malmstrom, R. R. ;
Bowers, R. M. ;
Katz, L. A. ;
Blanchard, J. L. ;
Woyke, T. .
MSYSTEMS, 2020, 5 (02)
[2]   Interactions in the microbiome: communities of organisms and communities of genes [J].
Boon, Eva ;
Meehan, Conor J. ;
Whidden, Chris ;
Wong, Dennis H. -J. ;
Langille, Morgan G. I. ;
Beiko, Robert G. .
FEMS MICROBIOLOGY REVIEWS, 2014, 38 (01) :90-118
[3]  
Bouseettine R, 2020, EMERGING AND REEMERGING VIRAL PATHOGENS, VOL 1: FUNDAMENTAL AND BASIC VIROLOGY ASPECTS OF HUMAN, ANIMAL AND PLANT PATHOGENS, P907, DOI 10.1016/B978-0-12-819400-3.00040-5
[4]   Detecting Human Bacterial Pathogens in Wastewater Treatment Plants by a High-Throughput Shotgun Sequencing Technique [J].
Cai, Lin ;
Zhang, Tong .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2013, 47 (10) :5433-5441
[5]  
Cao Q, 2013, NAT NANOTECHNOL, V8, P180, DOI [10.1038/nnano.2012.257, 10.1038/NNANO.2012.257]
[6]   Microbial community dissimilarity for source tracking with application in forensic studies [J].
Carter, Kyle M. ;
Lu, Meng ;
Luo, Qianwen ;
Jiang, Hongmei ;
An, Lingling .
PLOS ONE, 2020, 15 (07)
[7]   Biodegradation of nonylphenol in sewage sludge [J].
Chang, BV ;
Chiang, F ;
Yuan, SY .
CHEMOSPHERE, 2005, 60 (11) :1652-1659
[8]   A full-scale study of high-rate anaerobic bioreactors for whiskey distillery wastewater treatment with size fractionation and metagenomic analysis of granular sludge [J].
Chun-Te Lin, Justin ;
Liu, Yi-Sung ;
Wang, Wei-Kuang .
BIORESOURCE TECHNOLOGY, 2020, 306
[9]   Microbial source tracking in impaired watersheds using PhyloChip and machine-learning classification [J].
Dubinsky, Eric A. ;
Butkus, Steven R. ;
Andersen, Gary L. .
WATER RESEARCH, 2016, 105 :56-64
[10]   Application of Phylogenetic Microarray Analysis to Discriminate Sources of Fecal Pollution [J].
Dubinsky, Eric A. ;
Esmaili, Laleh ;
Hulls, John R. ;
Cao, Yiping ;
Griffith, John F. ;
Andersen, Gary L. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2012, 46 (08) :4340-4347