Abstract

Background: Soil microbiota represents one of the most complex and diverse ecosystems on Earth, harboring millions of microbial species that play crucial roles in nutrient cycling, plant health, and ecosystem stability. Traditional metagenomic approaches have limitations in understanding functional relationships within these communities.

Objective: This study aimed to develop and validate a CRISPR-based functional profiling system for comprehensive analysis of soil microbiota, focusing on metabolic pathways and ecological interactions.

Methods: We employed CRISPR-Cas9 gene editing technology combined with high-throughput sequencing to create targeted gene knockouts in soil microbial communities. Samples were collected from three distinct soil types: agricultural, forest, and grassland soils. Functional profiling was conducted using guide RNA libraries targeting key metabolic genes involved in carbon, nitrogen, and phosphorus cycling.

Results: Our CRISPR-based approach successfully identified 2,847 functional gene variants across 156 microbial species. Significant differences in metabolic capabilities were observed between soil types, with agricultural soils showing enhanced nitrogen fixation capacity (p<0.001) and forest soils demonstrating superior lignin degradation potential. The method achieved 94.2% accuracy in predicting functional outcomes compared to traditional biochemical assays.

Conclusions: CRISPR-based functional profiling provides unprecedented insights into soil microbiota functionality, offering a powerful tool for ecosystem management and agricultural optimization. This approach represents a significant advancement in microbial ecology research with broad applications in environmental science.