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A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light

Plants in natural environments receive light through sunflecks, the duration and distribution of these being highly variable across the day. Consequently, plants need to adjust their photosynthetic processes to avoid photoinhibition and maximize yield. Changes in the composition of the photosyntheti...

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Autores principales: Gjindali, Armida, Herrmann, Helena A., Schwartz, Jean-Marc, Johnson, Giles N., Calzadilla, Pablo I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079764/
https://www.ncbi.nlm.nih.gov/pubmed/33936157
http://dx.doi.org/10.3389/fpls.2021.668512
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author Gjindali, Armida
Herrmann, Helena A.
Schwartz, Jean-Marc
Johnson, Giles N.
Calzadilla, Pablo I.
author_facet Gjindali, Armida
Herrmann, Helena A.
Schwartz, Jean-Marc
Johnson, Giles N.
Calzadilla, Pablo I.
author_sort Gjindali, Armida
collection PubMed
description Plants in natural environments receive light through sunflecks, the duration and distribution of these being highly variable across the day. Consequently, plants need to adjust their photosynthetic processes to avoid photoinhibition and maximize yield. Changes in the composition of the photosynthetic apparatus in response to sustained changes in the environment are referred to as photosynthetic acclimation, a process that involves changes in protein content and composition. Considering this definition, acclimation differs from regulation, which involves processes that alter the activity of individual proteins over short-time periods, without changing the abundance of those proteins. The interconnection and overlapping of the short- and long-term photosynthetic responses, which can occur simultaneously or/and sequentially over time, make the study of long-term acclimation to fluctuating light in plants challenging. In this review we identify short-term responses of plants to fluctuating light that could act as sensors and signals for acclimation responses, with the aim of understanding how plants integrate environmental fluctuations over time and tailor their responses accordingly. Mathematical modeling has the potential to integrate physiological processes over different timescales and to help disentangle short-term regulatory responses from long-term acclimation responses. We review existing mathematical modeling techniques for studying photosynthetic responses to fluctuating light and propose new methods for addressing the topic from a holistic point of view.
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spelling pubmed-80797642021-04-29 A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light Gjindali, Armida Herrmann, Helena A. Schwartz, Jean-Marc Johnson, Giles N. Calzadilla, Pablo I. Front Plant Sci Plant Science Plants in natural environments receive light through sunflecks, the duration and distribution of these being highly variable across the day. Consequently, plants need to adjust their photosynthetic processes to avoid photoinhibition and maximize yield. Changes in the composition of the photosynthetic apparatus in response to sustained changes in the environment are referred to as photosynthetic acclimation, a process that involves changes in protein content and composition. Considering this definition, acclimation differs from regulation, which involves processes that alter the activity of individual proteins over short-time periods, without changing the abundance of those proteins. The interconnection and overlapping of the short- and long-term photosynthetic responses, which can occur simultaneously or/and sequentially over time, make the study of long-term acclimation to fluctuating light in plants challenging. In this review we identify short-term responses of plants to fluctuating light that could act as sensors and signals for acclimation responses, with the aim of understanding how plants integrate environmental fluctuations over time and tailor their responses accordingly. Mathematical modeling has the potential to integrate physiological processes over different timescales and to help disentangle short-term regulatory responses from long-term acclimation responses. We review existing mathematical modeling techniques for studying photosynthetic responses to fluctuating light and propose new methods for addressing the topic from a holistic point of view. Frontiers Media S.A. 2021-04-14 /pmc/articles/PMC8079764/ /pubmed/33936157 http://dx.doi.org/10.3389/fpls.2021.668512 Text en Copyright © 2021 Gjindali, Herrmann, Schwartz, Johnson and Calzadilla. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Gjindali, Armida
Herrmann, Helena A.
Schwartz, Jean-Marc
Johnson, Giles N.
Calzadilla, Pablo I.
A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light
title A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light
title_full A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light
title_fullStr A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light
title_full_unstemmed A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light
title_short A Holistic Approach to Study Photosynthetic Acclimation Responses of Plants to Fluctuating Light
title_sort holistic approach to study photosynthetic acclimation responses of plants to fluctuating light
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079764/
https://www.ncbi.nlm.nih.gov/pubmed/33936157
http://dx.doi.org/10.3389/fpls.2021.668512
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