“…Metagenomics coupled with bioinformatics removes all the obstacles faced in the process of genomic studies such as phylogenetic analysis, taxonomic profiling, molecular phylogeny, functional characterization of metagenomes, and enzymes and system biology studies, including genetic engineering through CRISPR or TALEN ( Singh et al, 2020b ). Quite a few bioinformatic pipelines have been developed ( Table 2 ), such as QIIME (quantitative insights into microbial ecology), PICRUSt (phylogenetic investigation of communities by reconstruction of unobserved states), MG-RAST (metagenomic rapid annotations using subsystems technology), Mothur, CLARK, MetaPhlAn2 (metagenomic phylogenetic analysis), MICCA, Metaphyler, MOCAT 2 , TIPP2, mOTU sv2 , Bracken, etc., for sequence classification and taxonomic profiling of metagenomic data ( Liu et al, 2010 ; Albanese et al, 2015 ; Truong et al, 2015 ; Douglas et al, 2020 ; Singh et al, 2020b ). Metagenomics coupled with in-silico bioinformatic tools or repositories such as KEGG (Kyoto encyclopedia of genes and genomes), COG (clusters of orthologous groups), EAWAG-BBD pathway prediction system, enviPath, BIOWIN, etc., helps in predictive degradation of pesticides along with the metabolite/biosurfactant identification involved in degradation mechanism ( Awasthi et al, 2020 ; Rodríguez et al, 2020 ; Shah et al, 2021 ; Singh et al, 2021 ).…”