Author:
Singh Arjun,Kumar Murugan,Chakdar Hillol,Pandiyan Kuppusamy,Kumar Shiv Charan,Zeyad Mohammad Tarique,Singh Bansh Narayan,Ravikiran K. T.,Mahto Arunima,Srivastava Alok Kumar,Saxena Anil Kumar
Abstract
Rice plants display a unique root ecosystem comprising oxic-anoxic zones, harboring a plethora of metabolic interactions mediated by its root microbiome. Since agricultural land is limited, an increase in rice production will rely on novel methods of yield enhancement. The nascent concept of tailoring plant phenotype through the intervention of synthetic microbial communities (SynComs) is inspired by the genetics and ecology of core rhizobiome. In this direction, we have studied structural and functional variations in the root microbiome of 10indicarice varieties. The studies on α and β-diversity indices of rhizospheric root microbiome with the host genotypes revealed variations in the structuring of root microbiome as well as a strong association with the host genotypes. Biomarker discovery, using machine learning, highlighted members of classAnaerolineae,α-Proteobacteria, and bacterial genera likeDesulfobacteria,Ca.Entotheonella,Algoriphagus, etc. as the most important features ofindicarice microbiota having a role in improving the plant’s fitness. Metabolically, rice rhizobiomes showed an abundance of genes related to sulfur oxidation and reduction, biofilm production, nitrogen fixation, denitrification, and phosphorus metabolism. This comparative study of rhizobiomes has outlined the taxonomic composition and functional diversification of rice rhizobiome, laying the foundation for the development of next-generation microbiome-based technologies for yield enhancement in rice and other crops.
Subject
Microbiology (medical),Microbiology
Cited by
12 articles.
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