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Biological scaling in green algae: the role of cell size and geometry

The Metabolic Scaling Theory (MST), hypothesizes limitations of resource-transport networks in organisms and predicts their optimization into fractal-like structures. As a result, the relationship between population growth rate and body size should follow a cross-species universal quarter-power scal...

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Autores principales: Bestová, Helena, Segrestin, Jules, von Schwartzenberg, Klaus, Škaloud, Pavel, Lenormand, Thomas, Violle, Cyrille
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277887/
https://www.ncbi.nlm.nih.gov/pubmed/34257365
http://dx.doi.org/10.1038/s41598-021-93816-2
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author Bestová, Helena
Segrestin, Jules
von Schwartzenberg, Klaus
Škaloud, Pavel
Lenormand, Thomas
Violle, Cyrille
author_facet Bestová, Helena
Segrestin, Jules
von Schwartzenberg, Klaus
Škaloud, Pavel
Lenormand, Thomas
Violle, Cyrille
author_sort Bestová, Helena
collection PubMed
description The Metabolic Scaling Theory (MST), hypothesizes limitations of resource-transport networks in organisms and predicts their optimization into fractal-like structures. As a result, the relationship between population growth rate and body size should follow a cross-species universal quarter-power scaling. However, the universality of metabolic scaling has been challenged, particularly across transitions from bacteria to protists to multicellulars. The population growth rate of unicellulars should be constrained by external diffusion, ruling nutrient uptake, and internal diffusion, operating nutrient distribution. Both constraints intensify with increasing size possibly leading to shifting in the scaling exponent. We focused on unicellular algae Micrasterias. Large size and fractal-like morphology make this species a transitional group between unicellular and multicellular organisms in the evolution of allometry. We tested MST predictions using measurements of growth rate, size, and morphology-related traits. We showed that growth scaling of Micrasterias follows MST predictions, reflecting constraints by internal diffusion transport. Cell fractality and density decrease led to a proportional increase in surface area with body mass relaxing external constraints. Complex allometric optimization enables to maintain quarter-power scaling of population growth rate even with a large unicellular plan. Overall, our findings support fractality as a key factor in the evolution of biological scaling.
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spelling pubmed-82778872021-07-15 Biological scaling in green algae: the role of cell size and geometry Bestová, Helena Segrestin, Jules von Schwartzenberg, Klaus Škaloud, Pavel Lenormand, Thomas Violle, Cyrille Sci Rep Article The Metabolic Scaling Theory (MST), hypothesizes limitations of resource-transport networks in organisms and predicts their optimization into fractal-like structures. As a result, the relationship between population growth rate and body size should follow a cross-species universal quarter-power scaling. However, the universality of metabolic scaling has been challenged, particularly across transitions from bacteria to protists to multicellulars. The population growth rate of unicellulars should be constrained by external diffusion, ruling nutrient uptake, and internal diffusion, operating nutrient distribution. Both constraints intensify with increasing size possibly leading to shifting in the scaling exponent. We focused on unicellular algae Micrasterias. Large size and fractal-like morphology make this species a transitional group between unicellular and multicellular organisms in the evolution of allometry. We tested MST predictions using measurements of growth rate, size, and morphology-related traits. We showed that growth scaling of Micrasterias follows MST predictions, reflecting constraints by internal diffusion transport. Cell fractality and density decrease led to a proportional increase in surface area with body mass relaxing external constraints. Complex allometric optimization enables to maintain quarter-power scaling of population growth rate even with a large unicellular plan. Overall, our findings support fractality as a key factor in the evolution of biological scaling. Nature Publishing Group UK 2021-07-13 /pmc/articles/PMC8277887/ /pubmed/34257365 http://dx.doi.org/10.1038/s41598-021-93816-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bestová, Helena
Segrestin, Jules
von Schwartzenberg, Klaus
Škaloud, Pavel
Lenormand, Thomas
Violle, Cyrille
Biological scaling in green algae: the role of cell size and geometry
title Biological scaling in green algae: the role of cell size and geometry
title_full Biological scaling in green algae: the role of cell size and geometry
title_fullStr Biological scaling in green algae: the role of cell size and geometry
title_full_unstemmed Biological scaling in green algae: the role of cell size and geometry
title_short Biological scaling in green algae: the role of cell size and geometry
title_sort biological scaling in green algae: the role of cell size and geometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277887/
https://www.ncbi.nlm.nih.gov/pubmed/34257365
http://dx.doi.org/10.1038/s41598-021-93816-2
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