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A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization
Stomatal pores control leaf gas exchange and are one route for infection of internal plant tissues by many foliar pathogens, setting up the potential for tradeoffs between photosynthesis and pathogen colonization. Anatomical shifts to lower stomatal density and/or size may also limit pathogen coloni...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658178/ https://www.ncbi.nlm.nih.gov/pubmed/33193466 http://dx.doi.org/10.3389/fpls.2020.518991 |
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author | Muir, Christopher D. |
author_facet | Muir, Christopher D. |
author_sort | Muir, Christopher D. |
collection | PubMed |
description | Stomatal pores control leaf gas exchange and are one route for infection of internal plant tissues by many foliar pathogens, setting up the potential for tradeoffs between photosynthesis and pathogen colonization. Anatomical shifts to lower stomatal density and/or size may also limit pathogen colonization, but such developmental changes could permanently reduce the gas exchange capacity for the life of the leaf. I developed and analyzed a spatially explicit model of pathogen colonization on the leaf as a function of stomatal size and density, anatomical traits which partially determine maximum rates of gas exchange. The model predicts greater stomatal size or density increases the probability of colonization, but the effect is most pronounced when the fraction of leaf surface covered by stomata is low. I also derived scaling relationships between stomatal size and density that preserves a given probability of colonization. These scaling relationships set up a potential anatomical conflict between limiting pathogen colonization and minimizing the fraction of leaf surface covered by stomata. Although a connection between gas exchange and pathogen defense has been suggested empirically, this is the first mathematical model connecting gas exchange and pathogen defense via stomatal anatomy. A limitation of the model is that it does not include variation in innate immunity and stomatal closure in response to pathogens. Nevertheless, the model makes predictions that can be tested with experiments and may explain variation in stomatal size and density among plants. The model is generalizable to many types of pathogens, but lacks significant biological realism that may be needed for precise predictions. |
format | Online Article Text |
id | pubmed-7658178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76581782020-11-13 A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization Muir, Christopher D. Front Plant Sci Plant Science Stomatal pores control leaf gas exchange and are one route for infection of internal plant tissues by many foliar pathogens, setting up the potential for tradeoffs between photosynthesis and pathogen colonization. Anatomical shifts to lower stomatal density and/or size may also limit pathogen colonization, but such developmental changes could permanently reduce the gas exchange capacity for the life of the leaf. I developed and analyzed a spatially explicit model of pathogen colonization on the leaf as a function of stomatal size and density, anatomical traits which partially determine maximum rates of gas exchange. The model predicts greater stomatal size or density increases the probability of colonization, but the effect is most pronounced when the fraction of leaf surface covered by stomata is low. I also derived scaling relationships between stomatal size and density that preserves a given probability of colonization. These scaling relationships set up a potential anatomical conflict between limiting pathogen colonization and minimizing the fraction of leaf surface covered by stomata. Although a connection between gas exchange and pathogen defense has been suggested empirically, this is the first mathematical model connecting gas exchange and pathogen defense via stomatal anatomy. A limitation of the model is that it does not include variation in innate immunity and stomatal closure in response to pathogens. Nevertheless, the model makes predictions that can be tested with experiments and may explain variation in stomatal size and density among plants. The model is generalizable to many types of pathogens, but lacks significant biological realism that may be needed for precise predictions. Frontiers Media S.A. 2020-10-29 /pmc/articles/PMC7658178/ /pubmed/33193466 http://dx.doi.org/10.3389/fpls.2020.518991 Text en Copyright © 2020 Muir. 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) and the copyright owner(s) 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 Muir, Christopher D. A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization |
title | A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization |
title_full | A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization |
title_fullStr | A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization |
title_full_unstemmed | A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization |
title_short | A Stomatal Model of Anatomical Tradeoffs Between Gas Exchange and Pathogen Colonization |
title_sort | stomatal model of anatomical tradeoffs between gas exchange and pathogen colonization |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658178/ https://www.ncbi.nlm.nih.gov/pubmed/33193466 http://dx.doi.org/10.3389/fpls.2020.518991 |
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