Metabolic modeling of Chlamydomonas reinhardtii: energy requirements for photoautotrophic growth and maintenance

A.M.J. Kliphuis, A.J. Klok, D.E. Martens, P.P. Lamers, M.G.J. Janssen, R.H. Wijffels

Research output: Contribution to journalArticleAcademicpeer-review

96 Citations (Scopus)

Abstract

In this study, a metabolic network describing the primary metabolism of Chlamydomonas reinhardtii was constructed. By performing chemostat experiments at different growth rates, energy parameters for maintenance and biomass formation were determined. The chemostats were run at low irradiances resulting in a high biomass yield on light of 1.25 g mol-1. The ATP requirement for biomass formation from biopolymers (Kx) was determined to be 109 mmol g-1 (18.9 mol mol-1) and the maintenance requirement (mATP) was determined to be 2.85 mmol g-1 h-1. With these energy requirements included in the metabolic network, the network accurately describes the primary metabolism of C. reinhardtii and can be used for modeling of C. reinhardtii growth and metabolism. Simulations confirmed that cultivating microalgae at low growth rates is unfavorable because of the high maintenance requirements which result in low biomass yields. At high light supply rates, biomass yields will decrease due to light saturation effects. Thus, to optimize biomass yield on light energy in photobioreactors, an optimum between low and high light supply rates should be found. These simulations show that metabolic flux analysis can be used as a tool to gain insight into the metabolism of algae and ultimately can be used for the maximization of algal biomass and product yield.
Original languageEnglish
Pages (from-to)253-266
JournalJournal of Applied Phycology
Volume24
Issue number2
DOIs
Publication statusPublished - 2012

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Chlamydomonas reinhardtii
energy requirements
metabolism
biomass
chemostat
modeling
energy
algae
metabolic studies
biopolymers
microalgae
irradiance
alga
simulation
rate
experiment

Keywords

  • genome-scale reconstruction
  • escherichia-coli
  • chlorophyll fluorescence
  • chlorella-sorokiniana
  • quantum requirement
  • light
  • photosynthesis
  • microalgae
  • network
  • photobioreactor

Cite this

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title = "Metabolic modeling of Chlamydomonas reinhardtii: energy requirements for photoautotrophic growth and maintenance",
abstract = "In this study, a metabolic network describing the primary metabolism of Chlamydomonas reinhardtii was constructed. By performing chemostat experiments at different growth rates, energy parameters for maintenance and biomass formation were determined. The chemostats were run at low irradiances resulting in a high biomass yield on light of 1.25 g mol-1. The ATP requirement for biomass formation from biopolymers (Kx) was determined to be 109 mmol g-1 (18.9 mol mol-1) and the maintenance requirement (mATP) was determined to be 2.85 mmol g-1 h-1. With these energy requirements included in the metabolic network, the network accurately describes the primary metabolism of C. reinhardtii and can be used for modeling of C. reinhardtii growth and metabolism. Simulations confirmed that cultivating microalgae at low growth rates is unfavorable because of the high maintenance requirements which result in low biomass yields. At high light supply rates, biomass yields will decrease due to light saturation effects. Thus, to optimize biomass yield on light energy in photobioreactors, an optimum between low and high light supply rates should be found. These simulations show that metabolic flux analysis can be used as a tool to gain insight into the metabolism of algae and ultimately can be used for the maximization of algal biomass and product yield.",
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Metabolic modeling of Chlamydomonas reinhardtii: energy requirements for photoautotrophic growth and maintenance. / Kliphuis, A.M.J.; Klok, A.J.; Martens, D.E.; Lamers, P.P.; Janssen, M.G.J.; Wijffels, R.H.

In: Journal of Applied Phycology, Vol. 24, No. 2, 2012, p. 253-266.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Metabolic modeling of Chlamydomonas reinhardtii: energy requirements for photoautotrophic growth and maintenance

AU - Kliphuis, A.M.J.

AU - Klok, A.J.

AU - Martens, D.E.

AU - Lamers, P.P.

AU - Janssen, M.G.J.

AU - Wijffels, R.H.

PY - 2012

Y1 - 2012

N2 - In this study, a metabolic network describing the primary metabolism of Chlamydomonas reinhardtii was constructed. By performing chemostat experiments at different growth rates, energy parameters for maintenance and biomass formation were determined. The chemostats were run at low irradiances resulting in a high biomass yield on light of 1.25 g mol-1. The ATP requirement for biomass formation from biopolymers (Kx) was determined to be 109 mmol g-1 (18.9 mol mol-1) and the maintenance requirement (mATP) was determined to be 2.85 mmol g-1 h-1. With these energy requirements included in the metabolic network, the network accurately describes the primary metabolism of C. reinhardtii and can be used for modeling of C. reinhardtii growth and metabolism. Simulations confirmed that cultivating microalgae at low growth rates is unfavorable because of the high maintenance requirements which result in low biomass yields. At high light supply rates, biomass yields will decrease due to light saturation effects. Thus, to optimize biomass yield on light energy in photobioreactors, an optimum between low and high light supply rates should be found. These simulations show that metabolic flux analysis can be used as a tool to gain insight into the metabolism of algae and ultimately can be used for the maximization of algal biomass and product yield.

AB - In this study, a metabolic network describing the primary metabolism of Chlamydomonas reinhardtii was constructed. By performing chemostat experiments at different growth rates, energy parameters for maintenance and biomass formation were determined. The chemostats were run at low irradiances resulting in a high biomass yield on light of 1.25 g mol-1. The ATP requirement for biomass formation from biopolymers (Kx) was determined to be 109 mmol g-1 (18.9 mol mol-1) and the maintenance requirement (mATP) was determined to be 2.85 mmol g-1 h-1. With these energy requirements included in the metabolic network, the network accurately describes the primary metabolism of C. reinhardtii and can be used for modeling of C. reinhardtii growth and metabolism. Simulations confirmed that cultivating microalgae at low growth rates is unfavorable because of the high maintenance requirements which result in low biomass yields. At high light supply rates, biomass yields will decrease due to light saturation effects. Thus, to optimize biomass yield on light energy in photobioreactors, an optimum between low and high light supply rates should be found. These simulations show that metabolic flux analysis can be used as a tool to gain insight into the metabolism of algae and ultimately can be used for the maximization of algal biomass and product yield.

KW - genome-scale reconstruction

KW - escherichia-coli

KW - chlorophyll fluorescence

KW - chlorella-sorokiniana

KW - quantum requirement

KW - light

KW - photosynthesis

KW - microalgae

KW - network

KW - photobioreactor

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DO - 10.1007/s10811-011-9674-3

M3 - Article

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JO - Journal of Applied Phycology

JF - Journal of Applied Phycology

SN - 0921-8971

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ER -