Home » Metagenomic Insights into Soil Microbial Communities
Dr. D. Shivani, Assistant Professor (Genetics and Plant Breeding), School of Agriculture, Kaveri University, Gowraram (V), Wargal (M), Siddipet – 502279
Natural farming systems, with minimal chemical inputs, are gaining importance for enhancing soil health and sustainability. This study uses high-throughput metagenomic sequencing to characterize soil microbial diversity, functional genes, and metabolic pathways in natural farming systems across India’s agro-ecological zones. Comparative analyses with conventional farming will reveal shifts in community composition and functions linked to nutrient cycling, plant growth promotion, and stress tolerance. Findings will identify region-specific microbial signatures and functional traits, providing insights to optimize natural farming practices for productivity and resilience.
This 2-year project will investigate the taxonomic and functional dynamics of soil microbial communities in natural farming versus conventional farming systems across multiple agro-ecological zones of India. Representative sites will be selected to capture variations in climate, soil type, and cropping patterns.
Sampling Strategy: Soil samples will be collected from rhizosphere and bulk soil under both farming systems, with triplicate sampling to ensure statistical robustness. Sites practicing natural farming will be further categorized based on the use of bio-inputs such as Jeevamrit, Beejamrit, and Panchagavya.
Metagenomic Analysis: High-quality soil DNA will be extracted and subjected to whole metagenome shotgun sequencing (Illumina platform). Bioinformatics pipelines (e.g., MG-RAST, MetaPhlAn, KEGG, eggNOG) will be used for taxonomic profiling (bacteria, archaea, fungi, viruses) and functional annotation. Special focus will be on genes related to nutrient cycling (nitrogen fixation, phosphorus solubilization), plant growth promotion, and disease suppression.
Data Integration & Analysis: Microbial diversity indices, functional gene abundances, and metabolic pathway profiles will be compared across systems, zones, and bio-input treatments. Environmental metadata (soil pH, organic carbon, nutrient content) will be integrated to identify key drivers of microbial structure and function.
2 years (2026–2027)
Competitive Research Grant (CRG),National Mission on Natural Farming
43,20,000