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From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation
Light response curves (LRCs) describe how the rate of photosynthesis varies as a function of light. They provide information on the maximum photosynthetic capacity, quantum yield, light compensation point and leaf radiation use efficiency of leaves. Light response curves are widely used to capture p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308256/ https://www.ncbi.nlm.nih.gov/pubmed/31654195 http://dx.doi.org/10.1007/s11120-019-00681-2 |
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author | Herrmann, Helena A. Schwartz, Jean-Marc Johnson, Giles N. |
author_facet | Herrmann, Helena A. Schwartz, Jean-Marc Johnson, Giles N. |
author_sort | Herrmann, Helena A. |
collection | PubMed |
description | Light response curves (LRCs) describe how the rate of photosynthesis varies as a function of light. They provide information on the maximum photosynthetic capacity, quantum yield, light compensation point and leaf radiation use efficiency of leaves. Light response curves are widely used to capture photosynthetic phenotypes in response to changing environmental conditions. However, models describing these are predominantly empirical and do not attempt to explain behaviour at a mechanistic level. Here, we use modelling to understand the metabolic changes required for photosynthetic acclimation to changing environmental conditions. Using a simple kinetic model, we predicted LRCs across the physiological temperature range of Arabidopsis thaliana and confirm these using experimental data. We use our validated metabolic model to make novel predictions about the metabolic changes of temperature acclimation. We demonstrate that NADPH utilization are enhanced in warm-acclimated plants, whereas both NADPH and CO(2) utilization is enhanced in cold-acclimated plants. We demonstrate how different metabolic acclimation strategies may lead to the same photosynthetic response across environmental change. We further identify that certain metabolic acclimation strategies, such as NADPH utilization, are only triggered when plants are moved beyond a threshold high or low temperature. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11120-019-00681-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7308256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-73082562020-06-23 From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation Herrmann, Helena A. Schwartz, Jean-Marc Johnson, Giles N. Photosynth Res Original Article Light response curves (LRCs) describe how the rate of photosynthesis varies as a function of light. They provide information on the maximum photosynthetic capacity, quantum yield, light compensation point and leaf radiation use efficiency of leaves. Light response curves are widely used to capture photosynthetic phenotypes in response to changing environmental conditions. However, models describing these are predominantly empirical and do not attempt to explain behaviour at a mechanistic level. Here, we use modelling to understand the metabolic changes required for photosynthetic acclimation to changing environmental conditions. Using a simple kinetic model, we predicted LRCs across the physiological temperature range of Arabidopsis thaliana and confirm these using experimental data. We use our validated metabolic model to make novel predictions about the metabolic changes of temperature acclimation. We demonstrate that NADPH utilization are enhanced in warm-acclimated plants, whereas both NADPH and CO(2) utilization is enhanced in cold-acclimated plants. We demonstrate how different metabolic acclimation strategies may lead to the same photosynthetic response across environmental change. We further identify that certain metabolic acclimation strategies, such as NADPH utilization, are only triggered when plants are moved beyond a threshold high or low temperature. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11120-019-00681-2) contains supplementary material, which is available to authorized users. Springer Netherlands 2019-10-25 2020 /pmc/articles/PMC7308256/ /pubmed/31654195 http://dx.doi.org/10.1007/s11120-019-00681-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Herrmann, Helena A. Schwartz, Jean-Marc Johnson, Giles N. From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation |
title | From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation |
title_full | From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation |
title_fullStr | From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation |
title_full_unstemmed | From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation |
title_short | From empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation |
title_sort | from empirical to theoretical models of light response curves - linking photosynthetic and metabolic acclimation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308256/ https://www.ncbi.nlm.nih.gov/pubmed/31654195 http://dx.doi.org/10.1007/s11120-019-00681-2 |
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