Revisiting the growth rate hypothesis : Towards a holistic stoichiometric understanding of growth
(2022) In Ecology Letters 25(10). p.2324-2339- Abstract
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 (r2 = 0.59) and RNA-P to P (r2 = 0.63) relationships across taxa, but growth to P relationships were relatively weaker (r2 = 0.09). Together, the GRH was supported in ~50% of... (More)
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 (r2 = 0.59) and RNA-P to P (r2 = 0.63) relationships across taxa, but growth to P relationships were relatively weaker (r2 = 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.
(Less)
- author
- Isanta-Navarro, Jana LU ; Prater, Clay ; Peoples, Logan M. ; Loladze, Irakli ; Phan, Tin ; Jeyasingh, Punidan D. ; Church, Matthew J. ; Kuang, Yang and Elser, James J.
- organization
- publishing date
- 2022-10
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- carbon, ecological stoichiometry, growth rate hypothesis, nitrogen, phosphorus, protein, RNA
- in
- Ecology Letters
- volume
- 25
- issue
- 10
- pages
- 16 pages
- publisher
- Wiley-Blackwell
- external identifiers
-
- scopus:85137922165
- pmid:36089849
- ISSN
- 1461-023X
- DOI
- 10.1111/ele.14096
- language
- English
- LU publication?
- yes
- id
- 21a18c3e-4245-48e3-8b75-a7dc46d1facc
- date added to LUP
- 2022-12-05 09:11:27
- date last changed
- 2024-06-15 01:26:55
@article{21a18c3e-4245-48e3-8b75-a7dc46d1facc,
abstract = {{<p>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<sup>2</sup> = 0.59) and RNA-P to P (r<sup>2</sup> = 0.63) relationships across taxa, but growth to P relationships were relatively weaker (r<sup>2</sup> = 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.</p>}},
author = {{Isanta-Navarro, Jana and Prater, Clay and Peoples, Logan M. and Loladze, Irakli and Phan, Tin and Jeyasingh, Punidan D. and Church, Matthew J. and Kuang, Yang and Elser, James J.}},
issn = {{1461-023X}},
keywords = {{carbon; ecological stoichiometry; growth rate hypothesis; nitrogen; phosphorus; protein; RNA}},
language = {{eng}},
number = {{10}},
pages = {{2324--2339}},
publisher = {{Wiley-Blackwell}},
series = {{Ecology Letters}},
title = {{Revisiting the growth rate hypothesis : Towards a holistic stoichiometric understanding of growth}},
url = {{http://dx.doi.org/10.1111/ele.14096}},
doi = {{10.1111/ele.14096}},
volume = {{25}},
year = {{2022}},
}