Department of Biotechnology, Delft University of Technology, Kluyver Centre for Genomics of Industrial Fermentation, Julianalaan 67, 2628 BC Delft, The Netherlands.
Biotechnol Bioeng. 2010 Jul 1;106(4):608-18. doi: 10.1002/bit.22689.
As is often the case for microbial product formation, the penicillin production rate of Penicillium chrysogenum has been observed to be a function of the growth rate of the organism. The relation between the biomass specific rate of penicillin formation (q(p)) and growth rate (mu) has been measured under steady state conditions in carbon limited chemostats resulting in a steady state q(p)(mu) relation. Direct application of such a relation to predict the rate of product formation during dynamic conditions, as they occur, for example, in fed-batch experiments, leads to errors in the prediction, because q(p) is not an instantaneous function of the growth rate but rather lags behind because of adaptational and regulatory processes. In this paper a dynamic gene regulation model is presented, in which the specific rate of penicillin production is assumed to be a linear function of the amount of a rate-limiting enzyme in the penicillin production pathway. Enzyme activity assays were performed and strongly indicated that isopenicillin-N synthase (IPNS) was the main rate-limiting enzyme for penicillin-G biosynthesis in our strain. The developed gene regulation model predicts the expression of this rate limiting enzyme based on glucose repression, fast decay of the mRNA encoding for the enzyme as well as the decay of the enzyme itself. The gene regulation model was combined with a stoichiometric model and appeared to accurately describe the biomass and penicillin concentrations for both chemostat steady-state as well as the dynamics during chemostat start-up and fed-batch cultivation.
就像微生物产物的形成情况一样,人们已经观察到产黄青霉的青霉素生产率是生物体生长率的函数。在碳限制恒化器中的稳态条件下,测量了生物量比青霉素形成速率(q(p))与生长速率(μ)之间的关系,得到了稳态 q(p)(μ)关系。直接应用这种关系来预测动态条件下(例如在分批补料实验中)产物形成的速率会导致预测错误,因为 q(p)不是生长速率的瞬时函数,而是由于适应和调节过程而滞后。在本文中,提出了一个动态基因调控模型,其中青霉素的比生产速率被假设为青霉素生产途径中限速酶的量的线性函数。进行了酶活性测定,强烈表明在我们的菌株中,青霉素-N 合酶(IPNS)是青霉素-G 生物合成的主要限速酶。所开发的基因调控模型基于葡萄糖抑制、编码酶的 mRNA 的快速衰减以及酶本身的衰减来预测这种限速酶的表达。基因调控模型与计量模型相结合,似乎可以准确描述恒化器稳态下的生物量和青霉素浓度,以及恒化器启动和分批补料培养期间的动力学。