Cargando…

An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation

The growth rate hypothesis (GRH) posits that the relative body phosphorus content of an organism is positively related to somatic growth rate, as protein synthesis, which is necessary for growth, requires P‐rich rRNA. This hypothesis has strong support at the interspecific level. Here, we explore th...

Descripción completa

Detalles Bibliográficos
Autores principales: Lemmen, Kimberley D., Zhou, Libin, Papakostas, Spiros, Declerck, Steven A. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078216/
https://www.ncbi.nlm.nih.gov/pubmed/36054549
http://dx.doi.org/10.1002/ecy.3853
_version_ 1785020470322528256
author Lemmen, Kimberley D.
Zhou, Libin
Papakostas, Spiros
Declerck, Steven A. J.
author_facet Lemmen, Kimberley D.
Zhou, Libin
Papakostas, Spiros
Declerck, Steven A. J.
author_sort Lemmen, Kimberley D.
collection PubMed
description The growth rate hypothesis (GRH) posits that the relative body phosphorus content of an organism is positively related to somatic growth rate, as protein synthesis, which is necessary for growth, requires P‐rich rRNA. This hypothesis has strong support at the interspecific level. Here, we explore the use of the GRH to predict microevolutionary responses in consumer body stoichiometry. For this, we subjected populations of the rotifer Brachionus calyciflorus to selection for fast population growth rate (PGR) in P‐rich (HPF) and P‐poor (LPF) food environments. With common garden transplant experiments, we demonstrate that in HP populations evolution toward increased PGR was concomitant with an increase in relative phosphorus content. In contrast, LP populations evolved higher PGR without an increase in relative phosphorus content. We conclude that the GRH has the potential to predict microevolutionary change, but that its application is contingent on the environmental context. Our results highlight the potential of cryptic evolution in determining the performance response of populations to elemental limitation of their food resources.
format Online
Article
Text
id pubmed-10078216
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-100782162023-04-07 An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation Lemmen, Kimberley D. Zhou, Libin Papakostas, Spiros Declerck, Steven A. J. Ecology Articles The growth rate hypothesis (GRH) posits that the relative body phosphorus content of an organism is positively related to somatic growth rate, as protein synthesis, which is necessary for growth, requires P‐rich rRNA. This hypothesis has strong support at the interspecific level. Here, we explore the use of the GRH to predict microevolutionary responses in consumer body stoichiometry. For this, we subjected populations of the rotifer Brachionus calyciflorus to selection for fast population growth rate (PGR) in P‐rich (HPF) and P‐poor (LPF) food environments. With common garden transplant experiments, we demonstrate that in HP populations evolution toward increased PGR was concomitant with an increase in relative phosphorus content. In contrast, LP populations evolved higher PGR without an increase in relative phosphorus content. We conclude that the GRH has the potential to predict microevolutionary change, but that its application is contingent on the environmental context. Our results highlight the potential of cryptic evolution in determining the performance response of populations to elemental limitation of their food resources. John Wiley & Sons, Inc. 2022-10-23 2023-01 /pmc/articles/PMC10078216/ /pubmed/36054549 http://dx.doi.org/10.1002/ecy.3853 Text en © 2022 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America. 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 Articles
Lemmen, Kimberley D.
Zhou, Libin
Papakostas, Spiros
Declerck, Steven A. J.
An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation
title An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation
title_full An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation
title_fullStr An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation
title_full_unstemmed An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation
title_short An experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation
title_sort experimental test of the growth rate hypothesis as a predictive framework for microevolutionary adaptation
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078216/
https://www.ncbi.nlm.nih.gov/pubmed/36054549
http://dx.doi.org/10.1002/ecy.3853
work_keys_str_mv AT lemmenkimberleyd anexperimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation
AT zhoulibin anexperimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation
AT papakostasspiros anexperimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation
AT declerckstevenaj anexperimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation
AT lemmenkimberleyd experimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation
AT zhoulibin experimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation
AT papakostasspiros experimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation
AT declerckstevenaj experimentaltestofthegrowthratehypothesisasapredictiveframeworkformicroevolutionaryadaptation