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Vascular optimality dictates plant morphology away from Leonardo’s rule
Metabolic scaling theory (MST) provides an understanding of scaling in organismal morphology. Empirical data on the apparently universal pattern of tip-to-base conduit widening across vascular plants motivate a set of generalized MST (gMST) relationships allowing for variable rates of conduit coales...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523467/ https://www.ncbi.nlm.nih.gov/pubmed/37722036 http://dx.doi.org/10.1073/pnas.2215047120 |
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author | Sopp, S. B. D. Valbuena, R. |
author_facet | Sopp, S. B. D. Valbuena, R. |
author_sort | Sopp, S. B. D. |
collection | PubMed |
description | Metabolic scaling theory (MST) provides an understanding of scaling in organismal morphology. Empirical data on the apparently universal pattern of tip-to-base conduit widening across vascular plants motivate a set of generalized MST (gMST) relationships allowing for variable rates of conduit coalescence and taper and a transition between transport and diffusive domains. Our model, with coalescence limited to the distalmost part of the conductive system, reconciles previous MST-based models and extends their applicability to the entire plant. We derive an inverse relationship between stem volume taper and conduit widening, which implies that plant morphology is dictated by vascular optimality and not the assumption of constant sapwood area across all branching levels, contradicting Leonardo’s rule. Thus, energy efficiency controls conduit coalescence rate, lowering the carbon cost needed to sustain the vascular network. Our model shows that as a plant grows taller, it must increase conduit widening and coalescence, which may make it more vulnerable to drought. We calculated how our gMST model implies a lower carbon cost to sustain a similar network compared to previous MST-based models. We also show that gMST predicts the cross-sectional area of vessels and their frequency along the relative length better than previous MST models for a range of plant types. We encourage further research obtaining data that would allow testing other gMST predictions that remain unconfirmed empirically, such as conduit coalescence rate in stems. The premise of energy efficiency can potentially become instrumental to our understanding of plant carbon allocation. |
format | Online Article Text |
id | pubmed-10523467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-105234672023-09-28 Vascular optimality dictates plant morphology away from Leonardo’s rule Sopp, S. B. D. Valbuena, R. Proc Natl Acad Sci U S A Biological Sciences Metabolic scaling theory (MST) provides an understanding of scaling in organismal morphology. Empirical data on the apparently universal pattern of tip-to-base conduit widening across vascular plants motivate a set of generalized MST (gMST) relationships allowing for variable rates of conduit coalescence and taper and a transition between transport and diffusive domains. Our model, with coalescence limited to the distalmost part of the conductive system, reconciles previous MST-based models and extends their applicability to the entire plant. We derive an inverse relationship between stem volume taper and conduit widening, which implies that plant morphology is dictated by vascular optimality and not the assumption of constant sapwood area across all branching levels, contradicting Leonardo’s rule. Thus, energy efficiency controls conduit coalescence rate, lowering the carbon cost needed to sustain the vascular network. Our model shows that as a plant grows taller, it must increase conduit widening and coalescence, which may make it more vulnerable to drought. We calculated how our gMST model implies a lower carbon cost to sustain a similar network compared to previous MST-based models. We also show that gMST predicts the cross-sectional area of vessels and their frequency along the relative length better than previous MST models for a range of plant types. We encourage further research obtaining data that would allow testing other gMST predictions that remain unconfirmed empirically, such as conduit coalescence rate in stems. The premise of energy efficiency can potentially become instrumental to our understanding of plant carbon allocation. National Academy of Sciences 2023-09-18 2023-09-26 /pmc/articles/PMC10523467/ /pubmed/37722036 http://dx.doi.org/10.1073/pnas.2215047120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Biological Sciences Sopp, S. B. D. Valbuena, R. Vascular optimality dictates plant morphology away from Leonardo’s rule |
title | Vascular optimality dictates plant morphology away from Leonardo’s rule |
title_full | Vascular optimality dictates plant morphology away from Leonardo’s rule |
title_fullStr | Vascular optimality dictates plant morphology away from Leonardo’s rule |
title_full_unstemmed | Vascular optimality dictates plant morphology away from Leonardo’s rule |
title_short | Vascular optimality dictates plant morphology away from Leonardo’s rule |
title_sort | vascular optimality dictates plant morphology away from leonardo’s rule |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523467/ https://www.ncbi.nlm.nih.gov/pubmed/37722036 http://dx.doi.org/10.1073/pnas.2215047120 |
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