Modeling photosynthetic resource allocation connects physiology with evolutionary environments

Abstract The regulation of resource allocation in biological systems observed today is the cumulative result of natural selection in ancestral and recent environments. To what extent are observed resource allocation patterns in different photosynthetic types optimally adapted to current conditions,...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Esther M. Sundermann, Martin J. Lercher, David Heckmann
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/228f401034474625ae9f21e1a08f1b3b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:228f401034474625ae9f21e1a08f1b3b
record_format	dspace
spelling	oai:doaj.org-article:228f401034474625ae9f21e1a08f1b3b2021-12-02T16:35:32ZModeling photosynthetic resource allocation connects physiology with evolutionary environments10.1038/s41598-021-94903-02045-2322https://doaj.org/article/228f401034474625ae9f21e1a08f1b3b2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94903-0https://doaj.org/toc/2045-2322Abstract The regulation of resource allocation in biological systems observed today is the cumulative result of natural selection in ancestral and recent environments. To what extent are observed resource allocation patterns in different photosynthetic types optimally adapted to current conditions, and to what extent do they reflect ancestral environments? Here, we explore these questions for C3, C4, and C3–C4 intermediate plants of the model genus Flaveria. We developed a detailed mathematical model of carbon fixation, which accounts for various environmental parameters and for energy and nitrogen partitioning across photosynthetic components. This allows us to assess environment-dependent plant physiology and performance as a function of resource allocation patterns. Models of C4 plants optimized for conditions experienced by evolutionary ancestors perform better than models accounting for experimental growth conditions, indicating low phenotypic plasticity. Supporting this interpretation, the model predicts that C4 species need to re-allocate more nitrogen between photosynthetic components than C3 species to adapt to new environments. We thus hypothesize that observed resource distribution patterns in C4 plants still reflect optimality in ancestral environments, allowing the quantitative inference of these environments from today’s plants. Our work allows us to quantify environmental effects on photosynthetic resource allocation and performance in the light of evolutionary history.Esther M. SundermannMartin J. LercherDavid HeckmannNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Esther M. Sundermann Martin J. Lercher David Heckmann Modeling photosynthetic resource allocation connects physiology with evolutionary environments
description	Abstract The regulation of resource allocation in biological systems observed today is the cumulative result of natural selection in ancestral and recent environments. To what extent are observed resource allocation patterns in different photosynthetic types optimally adapted to current conditions, and to what extent do they reflect ancestral environments? Here, we explore these questions for C3, C4, and C3–C4 intermediate plants of the model genus Flaveria. We developed a detailed mathematical model of carbon fixation, which accounts for various environmental parameters and for energy and nitrogen partitioning across photosynthetic components. This allows us to assess environment-dependent plant physiology and performance as a function of resource allocation patterns. Models of C4 plants optimized for conditions experienced by evolutionary ancestors perform better than models accounting for experimental growth conditions, indicating low phenotypic plasticity. Supporting this interpretation, the model predicts that C4 species need to re-allocate more nitrogen between photosynthetic components than C3 species to adapt to new environments. We thus hypothesize that observed resource distribution patterns in C4 plants still reflect optimality in ancestral environments, allowing the quantitative inference of these environments from today’s plants. Our work allows us to quantify environmental effects on photosynthetic resource allocation and performance in the light of evolutionary history.
format	article
author	Esther M. Sundermann Martin J. Lercher David Heckmann
author_facet	Esther M. Sundermann Martin J. Lercher David Heckmann
author_sort	Esther M. Sundermann
title	Modeling photosynthetic resource allocation connects physiology with evolutionary environments
title_short	Modeling photosynthetic resource allocation connects physiology with evolutionary environments
title_full	Modeling photosynthetic resource allocation connects physiology with evolutionary environments
title_fullStr	Modeling photosynthetic resource allocation connects physiology with evolutionary environments
title_full_unstemmed	Modeling photosynthetic resource allocation connects physiology with evolutionary environments
title_sort	modeling photosynthetic resource allocation connects physiology with evolutionary environments
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/228f401034474625ae9f21e1a08f1b3b
work_keys_str_mv	AT esthermsundermann modelingphotosyntheticresourceallocationconnectsphysiologywithevolutionaryenvironments AT martinjlercher modelingphotosyntheticresourceallocationconnectsphysiologywithevolutionaryenvironments AT davidheckmann modelingphotosyntheticresourceallocationconnectsphysiologywithevolutionaryenvironments
_version_	1718383680321224704

Modeling photosynthetic resource allocation connects physiology with evolutionary environments

Ejemplares similares