Assessment of Soil Health through Metagenomic Analysis of Microbiomes in Russian’s Black Soil

Soil health is a critical determinant of agricultural productivity and environmental sustainability. Traditional assessment methods often fail to provide a comprehensive understanding of soil microbial communities and their functions. This study addresses this challenge by employing metagenomic techniques to assess the functionality of soil microbiomes in Russian black soil, renowned for its high fertility. We utilized shotgun metagenomic sequencing to analyze soil samples from Western Siberia subjected to different degrees of agro-soil disturbance. We identified functional genes involved in carbon (accA, argG, acsA, mphE, miaB), phosphorus (phoB, ppa, pstB, pnp, phnJ), and nitrogen (queC, amiF, pyrG, guaA, guaB, napA) metabolic pathways and associated with changes in microbial diversity in general and higher representation of certain bacterial species - Bradyrhizobium spp. Results demonstrated significant differences in microbial composition and functional potential between tillage treatments. No-Till technology and conventional tillage practices promoted beneficial microbial communities and enhanced soil health compared to long-term fallow soil. This work underscores the potential of metagenomic analysis in providing a comprehensive understanding of soil health, marking a significant advancement in the field.