Next-generation sequencing and waste/wastewater treatment: a comprehensive overview

被引:33
|
作者
Sanz, Jose L. [1 ]
Kochling, Thorsten [1 ]
机构
[1] Univ Autonoma Madrid, Mol Biol Dept, Madrid 28049, Spain
关键词
Anaerobic reactors; Activated sludge; Illumina; Microbial ecology; Next-generation sequencing; Pyrosequencing; Wastewater; 16S rDNA (amplicon sequencing); WASTE-WATER TREATMENT; MICROBIAL COMMUNITY STRUCTURE; ANAEROBIC CO-DIGESTION; SLUDGE BLANKET REACTOR; BIOLOGICAL PHOSPHORUS REMOVAL; LINEAR ALKYLBENZENE SULFONATE; AMMONIA-OXIDIZING BACTERIA; RNA GENE DATABASE; ACTIVATED-SLUDGE; GRANULAR SLUDGE;
D O I
10.1007/s11157-019-09513-0
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Microorganisms are responsible for the conversion and breakdown of organic compounds and contaminants in bioreactors designed for the treatment of different types of waste. Organized in highly complex communities, they are the heart of every wastewater treatment plant and solid residue landfill. The detailed characterization of these communities and their taxonomic classification based on phylogenetic data are of great utility in monitoring the responses of the system to changing operational parameters and the development and optimization of favorable conditions within the bioreactors these communities inhabit. Until recently, only a fraction of the microbial diversity could be assessed, limited by the available sequencing technology, which was not suited for a high-throughput implementation. With the introduction of the recent next-generation sequencing (NGS) methods, an enormous advance has taken place allowing researchers in microbial ecology to generate large amounts of phylogenetic data in a short time and at relatively low costs. In this review, we present and discuss how the increase in available information has influenced recent research and the results available phylogenetic data has produced in the field of wastewater treatment. Furthermore, we introduce the data processing of NGS-based experiments, which has become more complex as the millions of sequences that a single sample can yield require the effective use of computational resources and human bioinformatics skills. To address this part of modern microbial ecology, the most popular sequencing techniques, as well as data analysis workflows, are outlined in this review article.
引用
收藏
页码:635 / 680
页数:46
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