کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
31494 44803 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Experimental and computational optimization of an Escherichia coli co-culture for the efficient production of flavonoids
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Experimental and computational optimization of an Escherichia coli co-culture for the efficient production of flavonoids
چکیده انگلیسی


• Afzelechin titer of 40.7±0.1 mg/L from phenylpropanoic acids.
• Empirical computational model guided optimization results in 65% increase in titer.
• Demonstrate 970-fold improvement in titer over previous monoculture efforts.

Metabolic engineering and synthetic biology have enabled the use of microbial production platforms for the renewable production of many high-value natural products. Titers and yields, however, are often too low to result in commercially viable processes. Microbial co-cultures have the ability to distribute metabolic burden and allow for modular specific optimization in a way that is not possible through traditional monoculture fermentation methods. Here, we present an Escherichia coli co-culture for the efficient production of flavonoids in vivo, resulting in a 970-fold improvement in titer of flavan-3-ols over previously published monoculture production. To accomplish this improvement in titer, factors such as strain compatibility, carbon source, temperature, induction point, and inoculation ratio were initially optimized. The development of an empirical scaled-Gaussian model based on the initial optimization data was then implemented to predict the optimum point for the system. Experimental verification of the model predictions resulted in a 65% improvement in titer, to 40.7±0.1 mg/L flavan-3-ols, over the previous optimum. Overall, this study demonstrates the first application of the co-culture production of flavonoids, the most in-depth co-culture optimization to date, and the first application of empirical systems modeling for improvement of titers from a co-culture system.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Metabolic Engineering - Volume 35, May 2016, Pages 55–63
نویسندگان
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