Metagenomic mining of Indian river confluence reveal functional microbial community with lignocelluloytic potential

TitleMetagenomic mining of Indian river confluence reveal functional microbial community with lignocelluloytic potential
Publication TypeJournal Article
Year of Publication2022
AuthorsRajput, V, Samson, R, Yadav, R, Dastager, S, Khairnar, K, Dharne, M
Journal3 Biotech
Volume12
Issue6
Pagination132
Date PublishedJUN
Type of ArticleArticle
ISSN2190-572X
KeywordsCAZymes, Confluence (Sangam), Lignocellulosic, River Ganges, River Yamuna
Abstract

Microbial carbohydrate-active enzymes (CAZyme) can be harnessed for valorization of Lignocellulosic biomass (LCB) to value-added chemicals/products. The two Indian Rivers Ganges and the Yamuna having different origins and flow, face accumulation of carbon-rich substrates due to the discharge of wastewater from adjoining paper and pulp industries, which could potentially contribute to the natural enrichment of LCB utilizing genes, especially at their confluence. We analyzed CAZyme diversity in metagenomic datasets across the sacred confluence of the Rivers Ganges and Yamuna. Functional annotation using CAZyme database identified a total of 77,815 putative genes with functional domains involved in the catalysis of carbohydrate degradation or synthesis of glycosidic bonds. The metagenomic analysis detected similar to 41% CAZymes catalyzing the hydrolysis of lignocellulosic biomass polymers- cellulose, hemicellulose, lignin, and pectin. The Beta diversity analysis suggested higher CAZyme diversity at downstream region of the river confluence, which could be useful niche for culture-based studies. Taxonomic origin for CAZymes revealed the predominance of bacteria (97%), followed by archaea (1.67%), Eukaryota (0.63%), and viruses (0.7%). Metagenome guided CAZyme diversity of the microflora spanning across the confluence of Ganges-Yamuna River, could be harnessed for biomass and bioenergy applications.

DOI10.1007/s13205-022-03190-7
Type of Journal (Indian or Foreign)

Foreign

Impact Factor (IF)

2.893

Divison category: 
Biochemical Sciences
Database: 
Web of Science (WoS)

Add new comment