Invention Reference Number
A method to improve microbial production by identifying genetic factors that influence pathway performance. Variability between bacterial strains often leads to inconsistent outputs in engineered systems. This technology enables the rapid identification of beneficial genetic traits and supports the development of optimized host strains, increasing productivity and reliability in industrial microbial processes.
Description
This technology introduces a novel approach for analyzing and improving microbial hosts by combining controlled genetic recombination with predictive analysis. It generates diverse hybrid bacterial populations and evaluates a subset to identify genomic regions associated with improved performance. Unlike conventional approaches that rely on limited strain screening or inefficient recombination, this method enables more effective exploration of genetic variation and links it to functional outcomes. Advanced computational techniques are used to associate genetic features with productivity, allowing for the targeted combination of beneficial traits. This approach reduces the need for extensive screening and enables more informed development of high-performing microbial strains. It is broadly applicable to engineered pathways where host selection significantly impacts output and consistency.
Benefits
- Accelerates identification of high-performing microbial strains
- Reduces experimental screening burden
- Enables targeted improvement of pathway productivity
- Improves consistency across production systems
Applications and Industries
- Industrial biotechnology and biomanufacturing
- Chemical and biochemical production
- Pharmaceutical and specialty compound development
- Microbial strain engineering and optimization
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
