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Predictive Metabolic Pathways of Lactic Acid Bacterial Strains Isolated from Fermented Foods.
Pynhunlang, Kharnaior and Prakash, M. Halami and Jyoti Prakash, Tamang (2020) Predictive Metabolic Pathways of Lactic Acid Bacterial Strains Isolated from Fermented Foods. bioRxiv.
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2020.07.01.181941v1.full.pdf - Accepted Version Restricted to Registered users only Download (4MB) |
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%).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Predictive functionality, Metabolic Pathways, Fermented Foods, LAB, PICTRUSt |
| Subjects: | 600 Technology > 08 Food technology > 18 Processed foods > 02 Fermented foods |
| Divisions: | Food Microbiology |
| Depositing User: | Food Sci. & Technol. Information Services |
| Date Deposited: | 30 Dec 2020 06:07 |
| Last Modified: | 30 Dec 2020 06:07 |
| URI: | http://ir.cftri.res.in/id/eprint/14711 |
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