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Using photorespiratory oxygen response to analyse leaf mesophyll resistance

Classical approaches to estimate mesophyll conductance ignore differences in resistance components for CO(2) from intercellular air spaces (IAS) and CO(2) from photorespiration (F) and respiration (R(d)). Consequently, mesophyll conductance apparently becomes sensitive to (photo)respiration relative...

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Autores principales: Yin, Xinyou, van der Putten, Peter E. L., Belay, Daniel, Struik, Paul C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113236/
https://www.ncbi.nlm.nih.gov/pubmed/32040701
http://dx.doi.org/10.1007/s11120-020-00716-z
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author Yin, Xinyou
van der Putten, Peter E. L.
Belay, Daniel
Struik, Paul C.
author_facet Yin, Xinyou
van der Putten, Peter E. L.
Belay, Daniel
Struik, Paul C.
author_sort Yin, Xinyou
collection PubMed
description Classical approaches to estimate mesophyll conductance ignore differences in resistance components for CO(2) from intercellular air spaces (IAS) and CO(2) from photorespiration (F) and respiration (R(d)). Consequently, mesophyll conductance apparently becomes sensitive to (photo)respiration relative to net photosynthesis, (F + R(d))/A. This sensitivity depends on several hard-to-measure anatomical properties of mesophyll cells. We developed a method to estimate the parameter m (0 ≤ m ≤ 1) that lumps these anatomical properties, using gas exchange and chlorophyll fluorescence measurements where (F + R(d))/A ratios vary. This method was applied to tomato and rice leaves measured at five O(2) levels. The estimated m was 0.3 for tomato but 0.0 for rice, suggesting that classical approaches implying m = 0 work well for rice. The mesophyll conductance taking the m factor into account still responded to irradiance, CO(2), and O(2) levels, similar to response patterns of stomatal conductance to these variables. Largely due to different m values, the fraction of (photo)respired CO(2) being refixed within mesophyll cells was lower in tomato than in rice. But that was compensated for by the higher fraction via IAS, making the total re-fixation similar for both species. These results, agreeing with CO(2) compensation point estimates, support our method of effectively analysing mesophyll resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11120-020-00716-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-71132362020-04-06 Using photorespiratory oxygen response to analyse leaf mesophyll resistance Yin, Xinyou van der Putten, Peter E. L. Belay, Daniel Struik, Paul C. Photosynth Res Technical Communication Classical approaches to estimate mesophyll conductance ignore differences in resistance components for CO(2) from intercellular air spaces (IAS) and CO(2) from photorespiration (F) and respiration (R(d)). Consequently, mesophyll conductance apparently becomes sensitive to (photo)respiration relative to net photosynthesis, (F + R(d))/A. This sensitivity depends on several hard-to-measure anatomical properties of mesophyll cells. We developed a method to estimate the parameter m (0 ≤ m ≤ 1) that lumps these anatomical properties, using gas exchange and chlorophyll fluorescence measurements where (F + R(d))/A ratios vary. This method was applied to tomato and rice leaves measured at five O(2) levels. The estimated m was 0.3 for tomato but 0.0 for rice, suggesting that classical approaches implying m = 0 work well for rice. The mesophyll conductance taking the m factor into account still responded to irradiance, CO(2), and O(2) levels, similar to response patterns of stomatal conductance to these variables. Largely due to different m values, the fraction of (photo)respired CO(2) being refixed within mesophyll cells was lower in tomato than in rice. But that was compensated for by the higher fraction via IAS, making the total re-fixation similar for both species. These results, agreeing with CO(2) compensation point estimates, support our method of effectively analysing mesophyll resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11120-020-00716-z) contains supplementary material, which is available to authorized users. Springer Netherlands 2020-02-10 2020 /pmc/articles/PMC7113236/ /pubmed/32040701 http://dx.doi.org/10.1007/s11120-020-00716-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Technical Communication
Yin, Xinyou
van der Putten, Peter E. L.
Belay, Daniel
Struik, Paul C.
Using photorespiratory oxygen response to analyse leaf mesophyll resistance
title Using photorespiratory oxygen response to analyse leaf mesophyll resistance
title_full Using photorespiratory oxygen response to analyse leaf mesophyll resistance
title_fullStr Using photorespiratory oxygen response to analyse leaf mesophyll resistance
title_full_unstemmed Using photorespiratory oxygen response to analyse leaf mesophyll resistance
title_short Using photorespiratory oxygen response to analyse leaf mesophyll resistance
title_sort using photorespiratory oxygen response to analyse leaf mesophyll resistance
topic Technical Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113236/
https://www.ncbi.nlm.nih.gov/pubmed/32040701
http://dx.doi.org/10.1007/s11120-020-00716-z
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