Development and in silico analysis of a new nitrogen-limited feeding strategy for fed-batch cultures of Pichia pastoris based on a simple pH-control system

Zahra Azimzadeh Irani, Amir Maghsoudi, Seyed Abbas Shojaosadati (Corresponding Author), Ehsan Motamedian

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

A novel fed-batch strategy based on a pH control system was devised in order to address some of the disadvantages associated with available control strategies for Pichia pastoris cultures. Changing settings of the controller, the tON/tOFF time ratio, adjusted the speed in which the ammonium hydroxide was added for pH control and the sole nitrogen source. Setting the tON/tOFF ratio to 0.5/0.5, 0.5/10 and 0.5/15 resulted in a decrease in the growth rate as the tOFF value increased. Therefore, the design allows running the culture at lower growth rates in a controlled way. Two high cell density cultures with tON/tOFF ratio of 0.5/10 and 0.5/20 were also fed ammonia with the same controller. Setting tON/tOFF at 0.5/10 and 0.5/20 led to an increase in final biomass and protein as the tOFF decreased. A metabolic model assessed the effect of nitrogen-limitation in high cell density cultures on the yeast metabolism. Model results show that fluxes of intracellular reactions such as glycolysis, the tricarboxylic cycle and the pentose-phosphate pathway are higher at tON/tOFF=0.5/10. Additionally, higher sensitivity of growth and protein production to oxygen at tON/tOFF=0.5/10 proves that oxygen limitation led to higher protein production in this case.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalBiochemical Engineering Journal
Volume98
DOIs
Publication statusPublished - 5 Jun 2015
Externally publishedYes

Keywords*

  • Control
  • Fed-batch culture
  • Fermentation
  • Metabolic model
  • Nitrogen-limitation
  • Protein

Field of Science*

  • 1.6 Biological sciences
  • 2.9 Industrial biotechnology
  • 3.1 Basic medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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