Computational validation roadmap for plant epigenetic modulation

Overview

KRZYCHUMAN presents a comprehensive computational workflow designed to support and de-risk targeted plant epigenetic modulation programs. This solution assists in mapping trait loci, screening dCas-based effectors, and evaluating DNA-methylation, histone-modification, and chromatin-remodeling options. By creating a decision framework, it aids in the design of guide and assay strategies, resulting in a target-editor-delivery scoring matrix and a roadmap for crop translation. The workflow is intended to be a cost-effective preliminary step before engaging in expensive wet-lab experiments.

Technical specifications

• Key features:
  • Mapping of trait loci and screening of epigenetic mechanisms
  • Development of a target-editor-delivery scoring matrix
  • Comprehensive landscape of epigenetic editors, delivery routes, and assay options
  • Python-based data analysis for methylation, expression, and accessibility
  • Supports design of guide/effector concepts and control strategies

Technology readiness level

This computational workflow is at Technology Readiness Level 3, indicating it has been demonstrated analytically and is in the early stages of development. Future phases involve supporting external labs in validating the model species and refining the scoring matrix for crop translation.