AUTHOR=Offiong Nnanake-Abasi O. , Edet John B. , Shaibu Solomon E. , Akan Nyaknno E. , Atakpa Edidiong O. , Sanganyado Edmond , Okop Imeh J. , Benson Nsikak U. , Okoh Anthony TITLE=Metagenomics: an emerging tool for the chemistry of environmental remediation JOURNAL=Frontiers in Environmental Chemistry VOLUME=4 YEAR=2023 URL=https://www.frontiersin.org/journals/environmental-chemistry/articles/10.3389/fenvc.2023.1052697 DOI=10.3389/fenvc.2023.1052697 ISSN=2673-4486 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.