Department of Botany, University of Kashmir, Srinagar, Jammu & Kashmir, 190 006, India.
Bull Environ Contam Toxicol. 2021 May;106(5):727-733. doi: 10.1007/s00128-021-03195-7. Epub 2021 Mar 27.
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.
传统技术识别水中不同污染物(生物或化学)的速度较慢、繁琐,并且可能需要专业知识。因此,使用更敏感和可靠的基于宏基因组学的方法快速确定水质具有特殊的重要性。宏基因组学研究从环境样本中存在的微生物群落中回收的遗传物质。在传统技术中,基于培养的方法用于描述环境样本中微生物的多样性。由于其有限的分类学和系统发育意义,它未能作为一个强大的标记。在此背景下,高通量 DNA 测序方法在微生物源追踪中非常有效,因为它们可以对全基因组分析进行调查,例如微生物遗传多样性和种群结构。下一代测序技术可以揭示出传统技术以前没有报道过的更大比例的微生物群落。本综述强调了从传统技术向下一代测序(NGS)平台的转变,以及它们在与人类健康有关的水质生物监测方面的潜在应用。