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Evolutionary scaling of maximum growth rate with organism size
Data from nearly 1000 species reveal the upper bound to rates of biomass production achievable by natural selection across the Tree of Life. For heterotrophs, maximum growth rates scale positively with organism size in bacteria but negatively in eukaryotes, whereas for phototrophs, the scaling is ne...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803686/ https://www.ncbi.nlm.nih.gov/pubmed/36585440 http://dx.doi.org/10.1038/s41598-022-23626-7 |
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author | Lynch, Michael Trickovic, Bogi Kempes, Christopher P. |
author_facet | Lynch, Michael Trickovic, Bogi Kempes, Christopher P. |
author_sort | Lynch, Michael |
collection | PubMed |
description | Data from nearly 1000 species reveal the upper bound to rates of biomass production achievable by natural selection across the Tree of Life. For heterotrophs, maximum growth rates scale positively with organism size in bacteria but negatively in eukaryotes, whereas for phototrophs, the scaling is negligible for cyanobacteria and weakly negative for eukaryotes. These results have significant implications for understanding the bioenergetic consequences of the transition from prokaryotes to eukaryotes, and of the expansion of some groups of the latter into multicellularity. The magnitudes of the scaling coefficients for eukaryotes are significantly lower than expected under any proposed physical-constraint model. Supported by genomic, bioenergetic, and population-genetic data and theory, an alternative hypothesis for the observed negative scaling in eukaryotes postulates that growth-diminishing mutations with small effects passively accumulate with increasing organism size as a consequence of associated increases in the power of random genetic drift. In contrast, conditional on the structural and functional features of ribosomes, natural selection has been able to promote bacteria with the fastest possible growth rates, implying minimal conflicts with both bioenergetic constraints and random genetic drift. If this extension of the drift-barrier hypothesis is correct, the interpretations of comparative studies of biological traits that have traditionally ignored differences in population-genetic environments will require revisiting. |
format | Online Article Text |
id | pubmed-9803686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98036862023-01-01 Evolutionary scaling of maximum growth rate with organism size Lynch, Michael Trickovic, Bogi Kempes, Christopher P. Sci Rep Article Data from nearly 1000 species reveal the upper bound to rates of biomass production achievable by natural selection across the Tree of Life. For heterotrophs, maximum growth rates scale positively with organism size in bacteria but negatively in eukaryotes, whereas for phototrophs, the scaling is negligible for cyanobacteria and weakly negative for eukaryotes. These results have significant implications for understanding the bioenergetic consequences of the transition from prokaryotes to eukaryotes, and of the expansion of some groups of the latter into multicellularity. The magnitudes of the scaling coefficients for eukaryotes are significantly lower than expected under any proposed physical-constraint model. Supported by genomic, bioenergetic, and population-genetic data and theory, an alternative hypothesis for the observed negative scaling in eukaryotes postulates that growth-diminishing mutations with small effects passively accumulate with increasing organism size as a consequence of associated increases in the power of random genetic drift. In contrast, conditional on the structural and functional features of ribosomes, natural selection has been able to promote bacteria with the fastest possible growth rates, implying minimal conflicts with both bioenergetic constraints and random genetic drift. If this extension of the drift-barrier hypothesis is correct, the interpretations of comparative studies of biological traits that have traditionally ignored differences in population-genetic environments will require revisiting. Nature Publishing Group UK 2022-12-30 /pmc/articles/PMC9803686/ /pubmed/36585440 http://dx.doi.org/10.1038/s41598-022-23626-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Lynch, Michael Trickovic, Bogi Kempes, Christopher P. Evolutionary scaling of maximum growth rate with organism size |
title | Evolutionary scaling of maximum growth rate with organism size |
title_full | Evolutionary scaling of maximum growth rate with organism size |
title_fullStr | Evolutionary scaling of maximum growth rate with organism size |
title_full_unstemmed | Evolutionary scaling of maximum growth rate with organism size |
title_short | Evolutionary scaling of maximum growth rate with organism size |
title_sort | evolutionary scaling of maximum growth rate with organism size |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803686/ https://www.ncbi.nlm.nih.gov/pubmed/36585440 http://dx.doi.org/10.1038/s41598-022-23626-7 |
work_keys_str_mv | AT lynchmichael evolutionaryscalingofmaximumgrowthratewithorganismsize AT trickovicbogi evolutionaryscalingofmaximumgrowthratewithorganismsize AT kempeschristopherp evolutionaryscalingofmaximumgrowthratewithorganismsize |