Key Analytical Features
Identify genes involved in nitrogen fixation, phosphorus solubilization, and stress-resilient microbial communities.
Discover the hidden microbial networks that drive soil health and plant growth. Our advanced soil microbiome analysis platform delivers comprehensive rhizosphere microbial community insights for sustainable agriculture, environmental research, and soil microbiology innovation.
Soil microbes are the unsung heroes of global agriculture that drive nutrient cycling, nitrogen fixation, and plant microbe interactions that sustain healthy crop systems. The rhizosphere (the soil region surrounding plant roots) is the most dynamic zone of microbial activity. Analyzing rhizosphere microbial communities reveals microbial diversity, bacterial communities, and functional microbial taxa that influence soil properties, soil microbial biomass, and plant health.
Data-driven soil microbiome analysis provides growers and researchers a blueprint for improving soil health, understanding microbial interactions, and promoting plant growth. With rising interest in regenerative agriculture, these insights offer pathways to optimize microbial ecology and enhance the relative abundance of beneficial soil microorganisms.
Soil microbiome analysis empowers precision agriculture by decoding the microbial community composition and structure within the rhizosphere. By uncovering the diversity and relative abundance of rhizosphere microbial communities, researchers can identify keystone bacterial communities and arbuscular mycorrhizal fungi that help in promoting plant growth and nutrient transformation.
These microbial populations are essential to supporting plant species adaptation and improving soil properties under changing environmental conditions. Advanced rhizosphere microbial analysis highlights beneficial microbes and plant growth promoting rhizobacteria that strengthen stress tolerance and boost crop productivity.
Comprehensive soil microbiome analysis contributes to environmental monitoring and soil pollution assessment by quantifying microbial indicators of soil health and ecological balance. Microbial ecology studies show that communities in the rhizosphere act as early warning systems for soil degradation while enhancing pollution remediation capacity.
Rhizosphere microbial communities also support beneficial soil microorganisms that help restore soil fertility and improve nitrogen fixation. This evidence underscores the role of microbial diversity and soil microorganisms in stabilizing ecosystems and managing sustainable land use.
Research in soil microbiology and rhizosphere microbial dynamics demonstrates that analyzing microbial community composition can predict disease susceptibility among plant species. By identifying beneficial microbial communities and plant growth promoting microbes, farmers can design microbial consortiums that foster soil health and natural disease suppression.
This approach reduces dependency on chemical inputs while encouraging sustainable crop production and promoting plant growth through balanced soil microbial communities and healthy microbial interactions around plant roots.
Tailored workflows for soil and rhizosphere sequencing datasets
Functional and taxonomic profiling for nitrogen fixation, phosphorus solubilization, and stress-resilient communities
Longitudinal tracking of microbial shifts due to irrigation, fertilizer, or crop rotation strategies
Granular analytics to differentiate root-associated microbiota from bulk soil signals
Our platform delivers tailored soil microbiome analysis and rhizosphere microbiome analysis workflows optimized for agricultural and environmental research applications. Advanced computational pipelines provide both taxonomic identification and functional profiling of microbial communities.
Identify genes involved in nitrogen fixation, phosphorus solubilization, and stress-resilient microbial communities.
Monitor microbial community shifts in response to irrigation, fertilization, and crop rotation strategies.
Distinguish root-associated microbiota from bulk soil microbial signals through advanced rhizosphere microbiome analysis.
Robust statistical frameworks for multi-site and multi-condition microbiome comparisons.
Kepler™ offers a robust, reference-free engine for functional annotation, enabling deep insights into soil microbe activity and ecosystem services.
Cosmos-Hub offers Kepler™ in combination with a host-agnostic functional pipeline, Functional 2.0, which interrogates shotgun metagenomic and metatranscriptomic data to understand metabolic and biochemical potential by annotating translated reads with numerous functional databases:
Our amplicon sequencing workflows provide high-resolution taxonomic profiling of microbial communities using targeted regions—16S rRNA for bacteria and archaea, and ITS for fungi.
The short-read 16S pipeline utilizes the DADA2 algorithm for denoising and ASV inference, ensuring genus resolution of bacterial taxa. Taxonomy is assigned using the SILVA database, and community-level functional potential via Metacyc Pathways and Enzyme Commissions is inferred with PICRUSt2.
The short-read ITS pipeline is optimized for fungal community profiling, leveraging the QIIME framework along with the UNITE database for closed-reference OTU picking. It processes reads through trimming and merging, outputting tables of OTU IDs, frequencies, and relative abundances.
Industry-leading bioinformatics pipelines thhat let you analyze different types of sequencing data for multiple applications.
Comparative analysis workflows that leverage your study metadata to create virtual cohorts and analyze them with the latest statistical tools and visualizations.
A study dashboards that provides integrated storage of raw data, profiling data, and study metadata for secure and easy access.
A curated database of over 40,000 microbiome samples, with metadata, that users can compare their samples against.
Cosmos-Hub's AI Co-Pilot, RITAi, supports the interpretation of results generated in the software by allowing researchers to make queries like when using their favorite GPT.
Cosmos-Hub is going multi-omics! In 2025, users will be able to import metabolomics data from any provider and conduct their analysis.
Unlock the power of high-resolution microbiome analysis with Cosmos-Hub.
Yes. Cosmos-Hub is optimized for the diversity and density of soil metagenomes, delivering accurate results across carious soil types.
Absolutely. Functional modules identify genes linked to nutrient cycling, resistance traits, and more.
The platform accommodates root-adhered soil and can distinguish it from bulk soil microbial communities for high-resolution insights.