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Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth
The growth rate hypothesis (GRH) posits that variation in organismal stoichiometry (C:P and N:P ratios) is driven by growth‐dependent allocation of P to ribosomal RNA. The GRH has found broad but not uniform support in studies across diverse biota and habitats. We synthesise information on how and w...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595043/ https://www.ncbi.nlm.nih.gov/pubmed/36089849 http://dx.doi.org/10.1111/ele.14096 |
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author | Isanta‐Navarro, Jana Prater, Clay Peoples, Logan M. Loladze, Irakli Phan, Tin Jeyasingh, Punidan D. Church, Matthew J. Kuang, Yang Elser, James J. |
author_facet | Isanta‐Navarro, Jana Prater, Clay Peoples, Logan M. Loladze, Irakli Phan, Tin Jeyasingh, Punidan D. Church, Matthew J. Kuang, Yang Elser, James J. |
author_sort | Isanta‐Navarro, Jana |
collection | PubMed |
description | The growth rate hypothesis (GRH) posits that variation in organismal stoichiometry (C:P and N:P ratios) is driven by growth‐dependent allocation of P to ribosomal RNA. The GRH has found broad but not uniform support in studies across diverse biota and habitats. We synthesise information on how and why the tripartite growth‐RNA‐P relationship predicted by the GRH may be uncoupled and outline paths for both theoretical and empirical work needed to broaden the working domain of the GRH. We found strong support for growth to RNA (r (2) = 0.59) and RNA‐P to P (r (2) = 0.63) relationships across taxa, but growth to P relationships were relatively weaker (r (2) = 0.09). Together, the GRH was supported in ~50% of studies. Mechanisms behind GRH uncoupling were diverse but could generally be attributed to physiological (P accumulation in non‐RNA pools, inactive ribosomes, translation elongation rates and protein turnover rates), ecological (limitation by resources other than P), and evolutionary (adaptation to different nutrient supply regimes) causes. These factors should be accounted for in empirical tests of the GRH and formalised mathematically to facilitate a predictive understanding of growth. |
format | Online Article Text |
id | pubmed-9595043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95950432023-01-09 Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth Isanta‐Navarro, Jana Prater, Clay Peoples, Logan M. Loladze, Irakli Phan, Tin Jeyasingh, Punidan D. Church, Matthew J. Kuang, Yang Elser, James J. Ecol Lett Synthesis The growth rate hypothesis (GRH) posits that variation in organismal stoichiometry (C:P and N:P ratios) is driven by growth‐dependent allocation of P to ribosomal RNA. The GRH has found broad but not uniform support in studies across diverse biota and habitats. We synthesise information on how and why the tripartite growth‐RNA‐P relationship predicted by the GRH may be uncoupled and outline paths for both theoretical and empirical work needed to broaden the working domain of the GRH. We found strong support for growth to RNA (r (2) = 0.59) and RNA‐P to P (r (2) = 0.63) relationships across taxa, but growth to P relationships were relatively weaker (r (2) = 0.09). Together, the GRH was supported in ~50% of studies. Mechanisms behind GRH uncoupling were diverse but could generally be attributed to physiological (P accumulation in non‐RNA pools, inactive ribosomes, translation elongation rates and protein turnover rates), ecological (limitation by resources other than P), and evolutionary (adaptation to different nutrient supply regimes) causes. These factors should be accounted for in empirical tests of the GRH and formalised mathematically to facilitate a predictive understanding of growth. John Wiley and Sons Inc. 2022-09-11 2022-10 /pmc/articles/PMC9595043/ /pubmed/36089849 http://dx.doi.org/10.1111/ele.14096 Text en © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Synthesis Isanta‐Navarro, Jana Prater, Clay Peoples, Logan M. Loladze, Irakli Phan, Tin Jeyasingh, Punidan D. Church, Matthew J. Kuang, Yang Elser, James J. Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth |
title | Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth |
title_full | Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth |
title_fullStr | Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth |
title_full_unstemmed | Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth |
title_short | Revisiting the growth rate hypothesis: Towards a holistic stoichiometric understanding of growth |
title_sort | revisiting the growth rate hypothesis: towards a holistic stoichiometric understanding of growth |
topic | Synthesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595043/ https://www.ncbi.nlm.nih.gov/pubmed/36089849 http://dx.doi.org/10.1111/ele.14096 |
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