💡 It helps overcome challenges of high titre production, reducing manufacturing costs significantly.
🧬 By using controlled breeding, diverse genomic libraries are created, enhancing adaptability.
🔍 This approach optimizes strains through iterative breeding and screening, yielding superior performance.
📈 Ultimately, it enables higher titres and efficient processes, elevating commercial competitiveness in biomanufacturing.
Introduction:
The article discusses advancements in bioprocessing technology aimed at increasing the production yield, or “titre,” of bioprocessed products. It highlights the limitations of traditional methods employed by Contract Development and Manufacture Organisations (CDMOs) and introduces a novel approach that leverages evolutionary principles to create more efficient and cost-effective bioproduction processes.
- Bioprocessing products need to maintain consistent quality and cost-effectiveness, posing a challenge addressed by new technologies.
- Traditional strain engineering methods used by CDMOs often yield limited genetic diversity, resulting in modest improvements in production efficiency.
- A new technique utilizing Quantitative Trait Locus (QTL) technology optimizes breeding and screening processes to produce superior genotypes and phenotypes suited for specific production criteria.
- By harnessing evolutionary principles, billions of distinct genetic combinations can be assessed, enabling the identification of strains best suited for targeted bioprocessing conditions.
- This evolutionary approach can lead to significantly higher production titres, lower manufacturing costs, and ultimately a more competitive edge in biomanufacturing.
Conclusion:
The introduction of evolutionary-based optimization in bioprocessing represents a paradigm shift that not only increases production titres but also reduces costs associated with downstream processing. Future applications of this technology could revolutionize biomanufacturing, paving the way for more efficient production of bioprocessed products tailored to market demands.
