Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 409276
Title Metabolic modeling of Chlamydomonas reinhardtii: energy requirements for photoautotrophic growth and maintenance
Author(s) Kliphuis, A.M.J.; Klok, A.J.; Martens, D.E.; Lamers, P.P.; Janssen, M.G.J.; Wijffels, R.H.
Source Journal of Applied Phycology 24 (2012)2. - ISSN 0921-8971 - p. 253 - 266.
DOI http://dx.doi.org/10.1007/s10811-011-9674-3
Department(s) Bioprocess Engineering
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) genome-scale reconstruction - escherichia-coli - chlorophyll fluorescence - chlorella-sorokiniana - quantum requirement - light - photosynthesis - microalgae - network - photobioreactor
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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