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Predictive sulfur metabolism – a field in flux

The key role of sulfur metabolites in response to biotic and abiotic stress in plants, as well as their importance in diet and health has led to a significant interest and effort in trying to understand and manipulate the production of relevant compounds. Metabolic engineering utilizes a set of theo...

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Detalles Bibliográficos
Autores principales: Calderwood, Alexander, Morris, Richard J., Kopriva, Stanislav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235266/
https://www.ncbi.nlm.nih.gov/pubmed/25477892
http://dx.doi.org/10.3389/fpls.2014.00646
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author Calderwood, Alexander
Morris, Richard J.
Kopriva, Stanislav
author_facet Calderwood, Alexander
Morris, Richard J.
Kopriva, Stanislav
author_sort Calderwood, Alexander
collection PubMed
description The key role of sulfur metabolites in response to biotic and abiotic stress in plants, as well as their importance in diet and health has led to a significant interest and effort in trying to understand and manipulate the production of relevant compounds. Metabolic engineering utilizes a set of theoretical tools to help rationally design modifications that enhance the production of a desired metabolite. Such approaches have proven their value in bacterial systems, however, the paucity of success stories to date in plants, suggests that challenges remain. Here, we review the most commonly used methods for understanding metabolic flux, focusing on the sulfur assimilatory pathway. We highlight known issues with both experimental and theoretical approaches, as well as presenting recent methods for integrating different modeling strategies, and progress toward an understanding of flux at the whole plant level.
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spelling pubmed-42352662014-12-04 Predictive sulfur metabolism – a field in flux Calderwood, Alexander Morris, Richard J. Kopriva, Stanislav Front Plant Sci Plant Science The key role of sulfur metabolites in response to biotic and abiotic stress in plants, as well as their importance in diet and health has led to a significant interest and effort in trying to understand and manipulate the production of relevant compounds. Metabolic engineering utilizes a set of theoretical tools to help rationally design modifications that enhance the production of a desired metabolite. Such approaches have proven their value in bacterial systems, however, the paucity of success stories to date in plants, suggests that challenges remain. Here, we review the most commonly used methods for understanding metabolic flux, focusing on the sulfur assimilatory pathway. We highlight known issues with both experimental and theoretical approaches, as well as presenting recent methods for integrating different modeling strategies, and progress toward an understanding of flux at the whole plant level. Frontiers Media S.A. 2014-11-18 /pmc/articles/PMC4235266/ /pubmed/25477892 http://dx.doi.org/10.3389/fpls.2014.00646 Text en Copyright © 2014 Calderwood, Morris and Kopriva. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Calderwood, Alexander
Morris, Richard J.
Kopriva, Stanislav
Predictive sulfur metabolism – a field in flux
title Predictive sulfur metabolism – a field in flux
title_full Predictive sulfur metabolism – a field in flux
title_fullStr Predictive sulfur metabolism – a field in flux
title_full_unstemmed Predictive sulfur metabolism – a field in flux
title_short Predictive sulfur metabolism – a field in flux
title_sort predictive sulfur metabolism – a field in flux
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235266/
https://www.ncbi.nlm.nih.gov/pubmed/25477892
http://dx.doi.org/10.3389/fpls.2014.00646
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