Digital organism technology for enhanced genomic prediction of complex crop traits

Overview

iMEAN offers a digital organism technology that integrates causal molecular network modeling with genomic selection to improve prediction accuracy for complex crop traits. Traditional genomic selection methods often struggle to capture the genetics underlying complex traits such as yield. By incorporating a mathematical model—an in silico "digital crop"—that simulates plant behavior based on genome-scale metabolic networks, immune system networks, and environmental constraints, the platform delivers more precise predictions grounded in causal biological mechanisms rather than purely statistical associations.

This approach is particularly valuable for breeding programs seeking to accelerate variety selection, optimize yield prediction, and improve quantitative disease resistance. The technology has demonstrated a 50% increase in predictive accuracy for genotype performance across multiple traits, making it a compelling tool for seed companies and agricultural biotechnology firms aiming to reduce breeding cycle times and improve decision-making.

Technical specifications

• Digital organism modeling: Reconstructs genome-scale molecular networks from genetic data and omics datasets to simulate plant physiology, development, and pathogen responses
• Causal prediction framework: Integrates mechanistic understanding of molecular networks with genomic selection to improve accuracy for complex, polygenic traits
• Validated traits: Seed production, vegetative growth, quantitative disease resistance, and flowering time
• Data inputs: SNP genotypes, molecular network data, and environmental constraints
• POC results: Achieved up to 50% improvement in predictive accuracy using 310 natural Arabidopsis thaliana lines with 1.9 million SNPs, validated under both greenhouse and field conditions
• Broad applicability: Platform architecture supports multiple crop species, with maize, soybean, and rapeseed identified as priority targets for industrial validation

Technology readiness level

The technology is currently at TRL 6, having been validated through a proof-of-concept study on Arabidopsis thaliana in both greenhouse and field conditions. iMEAN aims to advance the technology to TRL 8–9 by reconstructing digital organisms for commercial crops and conducting experimental validation in field conditions. Two validation pathways are planned: partnering with breeding companies to test predictions on proprietary crops and traits of interest, or subcontracting phenotyping assays with specialized facilities. This positions the technology for near-term commercial deployment in agricultural breeding pipelines.