Metagenomics: an emerging tool for the chemistry of environmental remediation

Nnanake-Abasi O. Offiong, J. Edet, S. Shaibu, Nyaknno E. Akan, E. Atakpa, E. Sanganyado, I. Okop, N. Benson, A. Okoh
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Abstract

Metagenomics is the study of genetic information, including the sequences and genomes of microorganisms present in an environment. Since 1998, the full-scale application of this technique to environmental chemistry has brought significant advances in the characterization of the nature and chemical composition/distribution of contaminants present in environmental matrices of contaminated and/or remediated sites. This has been critical in the selection of microorganisms and has contributed significantly to the success of this biological treatment over the years. Metagenomics has gone through different phases of development, which ranges from initial sequencing strategies to next-generation sequencing (NGS), which is a recently developed technology to obtain more robust deoxyribonucleic acid (DNA) profile of microorganisms devoid of chimeric sequences which reduces the quality of metagenomic data. Therefore, the objective of this review is to evaluate the applications of metagenomics in the understanding of environmental dynamics of chemical contaminants during remediation studies. Also, this review presents the relationship between biological characteristics of microorganisms and chemical properties of chemical compounds, which forms the basis of bioremediation and could be useful in developing predictive models that could enhance remediation efficiency. In conclusion, metagenomic techniques have improved the characterisation of chemical contaminants in the environment and provides a correlation for useful prediction of the type of contaminant expected in various environmental matrices.
宏基因组学:环境修复化学的新兴工具
宏基因组学是对遗传信息的研究,包括环境中存在的微生物的序列和基因组。自1998年以来,这项技术在环境化学中的全面应用,在表征污染和/或修复地点的环境基质中存在的污染物的性质和化学成分/分布方面取得了重大进展。这对微生物的选择至关重要,并为多年来这种生物治疗的成功做出了重大贡献。宏基因组学经历了不同的发展阶段,从最初的测序策略到新一代测序(NGS),这是一项最近发展起来的技术,旨在获得更强大的微生物脱氧核糖核酸(DNA)谱,而不存在降低宏基因组数据质量的嵌合序列。因此,本综述的目的是评估宏基因组学在化学污染物修复研究中环境动力学理解中的应用。此外,本文还介绍了微生物的生物学特性与化合物的化学性质之间的关系,这是生物修复的基础,并可用于建立预测模型,以提高修复效率。总之,宏基因组技术改善了环境中化学污染物的特征,并为各种环境基质中预期的污染物类型的有用预测提供了相关性。
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