کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6452683 1418337 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Kinetically accessible yield (KAY) for redirection of metabolism to produce exo-metabolites
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Kinetically accessible yield (KAY) for redirection of metabolism to produce exo-metabolites
چکیده انگلیسی


- A method for determining maximum Kinetically Accessible Yield (KAY) is presented.
- KAY is bounded by the instability point when additional flux is drawn from the system.
- A full E. coli model is used to predict isobutanol yield in 3 genotypes.
- Predicted KAY's match reported results in the literature.

The product formation yield (product formed per unit substrate consumed) is often the most important performance indicator in metabolic engineering. Until now, the actual yield cannot be predicted, but it can be bounded by its maximum theoretical value. The maximum theoretical yield is calculated by considering the stoichiometry of the pathways and cofactor regeneration involved. Here we found that in many cases, dynamic stability becomes an issue when excessive pathway flux is drawn to a product. This constraint reduces the yield and renders the maximal theoretical yield too loose to be predictive. We propose a more realistic quantity, defined as the kinetically accessible yield (KAY) to predict the maximum accessible yield for a given flux alteration. KAY is either determined by the point of instability, beyond which steady states become unstable and disappear, or a local maximum before becoming unstable. Thus, KAY is the maximum flux that can be redirected for a given metabolic engineering strategy without losing stability. Strictly speaking, calculation of KAY requires complete kinetic information. With limited or no kinetic information, an Ensemble Modeling strategy can be used to determine a range of likely values for KAY, including an average prediction. We first apply the KAY concept with a toy model to demonstrate the principle of kinetic limitations on yield. We then used a full-scale E. coli model (193 reactions, 153 metabolites) and this approach was successful in E. coli for predicting production of isobutanol: the calculated KAY values are consistent with experimental data for three genotypes previously published.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Metabolic Engineering - Volume 41, May 2017, Pages 144-151
نویسندگان
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