Physiological capacities decline during induced bioprocesses leading to substrate accumulation

Biotechnol J. 2017 Jul;12(7). doi: 10.1002/biot.201600547. Epub 2017 Feb 17.

Abstract

During the cultivation of E. coli for recombinant protein production, substrate accumulation is often observed in induction phase. Uncontrolled substrate accumulation leads to difficulties in transferring or scaling processes and even to failed batches. The phenomenon of metabolite/substrate accumulation occurs as a result of exceeding the physiological capacity to metabolize substrate (qScrit ). In contrast to the common understanding of qScrit as "static" value, we hypothesize that qScrit essentially has a dynamic nature. Following the state of the art approach of physio logical strain characterization, substrate pulse experiments were used to quantify qScrit in induction phase. The qScrit was found to be temperature and time dependent. Subsequently, qScrit was expressed through a linear equation, to serve as boundary for physiologically controlled experiments. Nevertheless, accumulation was observed within a physiologically controlled verification experiment, although the qScrit boundary was not exceeded. A second set of experiments was conducted, by oscillating the qS set point between discrete plateaus during physiologically controlled experiments. From the results, we deduced a significant interrelation between the metabolic activity and the timely decline of qScrit. This finding highlights the necessity of a comprehensive but laborious physiological characterization for each strain or alternatively, to use physio logical feedback control to facilitate real time monitoring of qScrit , in order to effectively avoid substrate accumulation.

Keywords: balancing approach; bioprocess control; dynamic experiments; physiological bioprocess development; physiological capacity; substrate accumulation.

MeSH terms

  • Batch Cell Culture Techniques
  • Escherichia coli / genetics
  • Escherichia coli / physiology*
  • Recombinant Proteins / metabolism*
  • Temperature
  • Time Factors

Substances

  • Recombinant Proteins