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Upton DJ, McQueen-Mason SJ, Wood AJ. An accurate description of . Biotechnol Biofuels. 2017;10:258doi: 10.1186/s13068-017-0950-6.
Upton, D. J., McQueen-Mason, S. J., & Wood, A. J. (2017). An accurate description of . Biotechnology for biofuels, 10258. https://doi.org/10.1186/s13068-017-0950-6
Upton, Daniel J, et al. "An accurate description of ." Biotechnology for biofuels vol. 10 (2017): 258. doi: https://doi.org/10.1186/s13068-017-0950-6
Upton DJ, McQueen-Mason SJ, Wood AJ. An accurate description of . Biotechnol Biofuels. 2017 Nov 09;10:258. doi: 10.1186/s13068-017-0950-6. eCollection 2017. PMID: 29151887; PMCID: PMC5679502.
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Biotechnol Biofuels. 2017 Nov 09;10:258. doi: 10.1186/s13068-017-0950-6. eCollection 2017.

An accurate description of .

Biotechnology for biofuels

Daniel J Upton, Simon J McQueen-Mason, A Jamie Wood

Affiliations

  1. Department of Biology, University of York, Wentworth Way, York, YO10 5DD UK.
  2. Department of Mathematics, University of York, Heslington, York, YO10 5DD UK.

PMID: 29151887 PMCID: PMC5679502 DOI: 10.1186/s13068-017-0950-6

Abstract

RESULTS: The output from this model shows a good match with empirical fermentation data. Our studies suggest that citric acid production commences upon a switch to phosphate-limited growth and this is validated by fitting to empirical data, which confirms the diauxic growth behaviour and the role of phosphate storage as polyphosphate.

CONCLUSIONS: The calibrated time-course model reflects observed metabolic events and generates reliable in silico data for industrially relevant fermentative time series, and for the behaviour of engineered strains suggesting that our approach can be used as a powerful tool for predictive metabolic engineering.

Keywords: Aspergillus niger; Citric acid; Metabolic modelling; Polyphosphate; dFBA

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