Amplicon-based functional prediction of microbial communities

AT Anish Tamang
MS Mohit Swarnkar
PK Pawan Kumar
DK Dinesh Kumar
SP Shiv Shanker Pandey
VH Vipin Hallan
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To predict the metabolic pathways associated with the bacterial communities, Phylogenetic investigation of communities by reconstruction of unobserved state (PICRUSt2) software was utilized (177). Based on the database of Kyoto Encyclopedia of Genes and Genome (KEGG) and evolutionary genealogy of genes (EggNOG), the KEGG orthology (KO) was predicted based on the OTU matrix, along with abundance was also obtained. EC number involved in the possible secondary metabolite biosynthesis was manually categorized based on the KEGG database.

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