Predictive Metabolic Pathways of Lactic Acid Bacterial Strains Isolated from Fermented Foods

Abstract

We attempted to use PICTRUSt2 software and bioinformatics tool to infer the raw sequences obtained from pure strains of Lactococcus lactis and Lactobacillus plantarum isolated from some fermented foods in India, which were identified by 16S rRNA gene sequencing method. Predictive metabolic pathways of 16S sequences of LAB strains were predicted by PICRUSt2 mapped against KEGG database, which showed genes associated with metabolism (36.74%), environmental information processing (32.34%), genetic information processing (9.86%) and the unclassified (21.06%). KGGE database also showed the dominant genes related to predictive sub-pathways of metabolism at level-2 were membrane transport (31.16%) and carbohydrate metabolism (12.42%).