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Mathematical model of fructan biosynthesis and polymer length distribution in plants

BACKGROUND AND AIMS: There are many unresolved issues concerning the biochemistry of fructan biosynthesis. The aim of this paper is to address some of these by means of modelling mathematically the biochemical processes. METHODS: A model has been constructed for the step-by-step synthesis of fructan...

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Detalles Bibliográficos
Autores principales: Rasmussen, Susanne, Thornley, John H. M., Parsons, Anthony J., Harrison, Scott J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662526/
https://www.ncbi.nlm.nih.gov/pubmed/23644360
http://dx.doi.org/10.1093/aob/mct087
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author Rasmussen, Susanne
Thornley, John H. M.
Parsons, Anthony J.
Harrison, Scott J.
author_facet Rasmussen, Susanne
Thornley, John H. M.
Parsons, Anthony J.
Harrison, Scott J.
author_sort Rasmussen, Susanne
collection PubMed
description BACKGROUND AND AIMS: There are many unresolved issues concerning the biochemistry of fructan biosynthesis. The aim of this paper is to address some of these by means of modelling mathematically the biochemical processes. METHODS: A model has been constructed for the step-by-step synthesis of fructan polymers. This is run until a steady state is achieved for which a polymer distribution is predicted. It is shown how qualitatively different distributions can be obtained. KEY RESULTS: It is demonstrated how a set of experimental results on polymer distribution can by simulated by a simple parameter adjustments. CONCLUSIONS: Mathematical modelling of fructan biosynthesis can provide a useful tool for helping elucidate the details of the biosynthetic processes.
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spelling pubmed-36625262013-05-23 Mathematical model of fructan biosynthesis and polymer length distribution in plants Rasmussen, Susanne Thornley, John H. M. Parsons, Anthony J. Harrison, Scott J. Ann Bot Original Articles BACKGROUND AND AIMS: There are many unresolved issues concerning the biochemistry of fructan biosynthesis. The aim of this paper is to address some of these by means of modelling mathematically the biochemical processes. METHODS: A model has been constructed for the step-by-step synthesis of fructan polymers. This is run until a steady state is achieved for which a polymer distribution is predicted. It is shown how qualitatively different distributions can be obtained. KEY RESULTS: It is demonstrated how a set of experimental results on polymer distribution can by simulated by a simple parameter adjustments. CONCLUSIONS: Mathematical modelling of fructan biosynthesis can provide a useful tool for helping elucidate the details of the biosynthetic processes. Oxford University Press 2013-06 2013-05-03 /pmc/articles/PMC3662526/ /pubmed/23644360 http://dx.doi.org/10.1093/aob/mct087 Text en © The Author 2013. Published by Oxford University Press on behalf of the Annals of Botany Company. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Rasmussen, Susanne
Thornley, John H. M.
Parsons, Anthony J.
Harrison, Scott J.
Mathematical model of fructan biosynthesis and polymer length distribution in plants
title Mathematical model of fructan biosynthesis and polymer length distribution in plants
title_full Mathematical model of fructan biosynthesis and polymer length distribution in plants
title_fullStr Mathematical model of fructan biosynthesis and polymer length distribution in plants
title_full_unstemmed Mathematical model of fructan biosynthesis and polymer length distribution in plants
title_short Mathematical model of fructan biosynthesis and polymer length distribution in plants
title_sort mathematical model of fructan biosynthesis and polymer length distribution in plants
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662526/
https://www.ncbi.nlm.nih.gov/pubmed/23644360
http://dx.doi.org/10.1093/aob/mct087
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