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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
Published on: December 15, 2017
Studies on process optimization methods for rapamycin production using Streptomyces hygroscopicus ATCC 29253.
Rupika Sinha1, Shalini Singh, Pradeep Srivastava
1School of Biochemical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.
Bioprocess and Biosystems Engineering
|September 20, 2013
Summary
Researchers optimized rapamycin production by Streptomyces hygroscopicus using nutrient adjustments. This enhanced rapamycin yield significantly, paving the way for industrial applications.
Area of Science:
- Microbiology
- Biotechnology
- Fermentation Technology
Background:
- Rapamycin is a valuable immunosuppressant with limited industrial production due to low yields.
- Optimizing fermentation parameters is crucial for enhancing rapamycin production by Streptomyces hygroscopicus.
Purpose of the Study:
- To improve rapamycin production by optimizing nutrient requirements for Streptomyces hygroscopicus NRRL 5491.
- To investigate the role of L-lysine as a precursor in rapamycin biosynthesis.
Main Methods:
- One-at-a-time parameter optimization followed by a hybrid methodology.
- Screening significant factors using Plackett-Burman design (PBD).
- Modeling rapamycin production with artificial neural networks (ANN) and optimizing with genetic algorithms (GA).
Main Results:
- L-lysine addition significantly increased rapamycin production.
- PBD identified mannose, soyabean meal, and L-lysine as key factors.
- ANN-GA optimization achieved a rapamycin yield of 320.89 mg/L.
Conclusions:
- Optimized nutrient medium significantly enhances rapamycin production.
- The developed methodology is effective for improving rapamycin yield.
- The findings support the scale-up for industrial rapamycin production.
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