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  Flux balance analysis of metabolism during growth by osmotic cell expansion and its application to tomato fruits

Shameer, S., Vallarino, J. G., Fernie, A. R., Ratcliffe, R. G., & Sweetlove, L. J. (2020). Flux balance analysis of metabolism during growth by osmotic cell expansion and its application to tomato fruits. The Plant Journal, 103(1), 68-82. doi:10.1111/tpj.14707.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-9505-D Version Permalink: http://hdl.handle.net/21.11116/0000-0006-A814-6
Genre: Journal Article

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 Creators:
Shameer, Sanu1, Author
Vallarino, J. G.2, Author              
Fernie, A. R.2, Author              
Ratcliffe, R. George1, Author
Sweetlove, Lee J1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              

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Free keywords: flux modelling, fruit development, cell expansion, Solanum lycopersicum
 Abstract: Abstract Cell expansion is a significant contributor to organ growth and is driven by the accumulation of osmolytes to increase cell turgor pressure. Metabolic modelling has the potential to provide insights into the processes that underpin osmolyte synthesis and transport, but the main computational approach for predicting metabolic network fluxes, flux balance analysis (FBA), often uses biomass composition as the main output constraint and ignores potential changes in cell volume. Here we present GrOE-FBA (Growth by Osmotic Expansion - Flux Balance Analysis), a framework that accounts for both the metabolic and ionic contributions to the osmotica that drive cell expansion, as well as the synthesis of protein, cell wall and cell membrane components required for cell enlargement. Using GrOE-FBA, the metabolic fluxes in dividing and expanding cell were analyzed, and the energetic costs for metabolite biosynthesis and accumulation in the two scenarios were found to be surprisingly similar. The expansion phase of tomato fruit growth was also modelled using a multi-phase single optimization GrOE-FBA model and this approach gave accurate predictions of the major metabolite levels throughout fruit development as well as revealing a role for transitory starch accumulation in ensuring optimal fruit development.

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1111/tpj.14707
BibTex Citekey: doi:10.1111/tpj.14707
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Title: The Plant Journal
  Other : Plant J.
Source Genre: Journal
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Publ. Info: Oxford : Blackwell Science
Pages: - Volume / Issue: 103 (1) Sequence Number: - Start / End Page: 68 - 82 Identifier: ISSN: 0960-7412
CoNE: https://pure.mpg.de/cone/journals/resource/954925579095_1