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Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model

Starch serves as an important carbon storage mechanism for many plant species, facilitating their adaptation to the cyclic variations in the light environment, including day–night cycles as well as seasonal changes in photoperiod. By dynamically adjusting starch accumulation and degradation rates, p...

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Autores principales: Kudo, Shuichi N., Bello, Carolina C. M., Artins, Anthony, Caldana, Camila, Satake, Akiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684347/
https://www.ncbi.nlm.nih.gov/pubmed/38016639
http://dx.doi.org/10.1098/rsif.2023.0426
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author Kudo, Shuichi N.
Bello, Carolina C. M.
Artins, Anthony
Caldana, Camila
Satake, Akiko
author_facet Kudo, Shuichi N.
Bello, Carolina C. M.
Artins, Anthony
Caldana, Camila
Satake, Akiko
author_sort Kudo, Shuichi N.
collection PubMed
description Starch serves as an important carbon storage mechanism for many plant species, facilitating their adaptation to the cyclic variations in the light environment, including day–night cycles as well as seasonal changes in photoperiod. By dynamically adjusting starch accumulation and degradation rates, plants maintain carbon homeostasis, enabling continuous growth under fluctuating environmental conditions. To understand dynamic nature of starch metabolism at the molecular level, it is necessary to integrate empirical knowledge from genetic defects in specific regulatory pathways into the dynamical system of starch metabolism. To achieve this, we evaluated the impact of genetic defects in the circadian clock, sugar sensing and starch degradation pathways using the carbon homeostasis model that encompasses the interplay between these pathways. Through the collection of starch metabolism data from 10 Arabidopsis mutants, we effectively fitted the experimental data to the model. The system-level assessment revealed that genetic defects in both circadian clock components and sugar sensing pathway hindered the appropriate adjustment of the starch degradation rate, particularly under long-day conditions. These findings not only confirmed the previous empirical findings but also provide the novel insights into the role of each gene within the gene regulatory network on the emergence of carbon homeostasis.
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spelling pubmed-106843472023-11-30 Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model Kudo, Shuichi N. Bello, Carolina C. M. Artins, Anthony Caldana, Camila Satake, Akiko J R Soc Interface Life Sciences–Mathematics interface Starch serves as an important carbon storage mechanism for many plant species, facilitating their adaptation to the cyclic variations in the light environment, including day–night cycles as well as seasonal changes in photoperiod. By dynamically adjusting starch accumulation and degradation rates, plants maintain carbon homeostasis, enabling continuous growth under fluctuating environmental conditions. To understand dynamic nature of starch metabolism at the molecular level, it is necessary to integrate empirical knowledge from genetic defects in specific regulatory pathways into the dynamical system of starch metabolism. To achieve this, we evaluated the impact of genetic defects in the circadian clock, sugar sensing and starch degradation pathways using the carbon homeostasis model that encompasses the interplay between these pathways. Through the collection of starch metabolism data from 10 Arabidopsis mutants, we effectively fitted the experimental data to the model. The system-level assessment revealed that genetic defects in both circadian clock components and sugar sensing pathway hindered the appropriate adjustment of the starch degradation rate, particularly under long-day conditions. These findings not only confirmed the previous empirical findings but also provide the novel insights into the role of each gene within the gene regulatory network on the emergence of carbon homeostasis. The Royal Society 2023-11-29 /pmc/articles/PMC10684347/ /pubmed/38016639 http://dx.doi.org/10.1098/rsif.2023.0426 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Mathematics interface
Kudo, Shuichi N.
Bello, Carolina C. M.
Artins, Anthony
Caldana, Camila
Satake, Akiko
Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model
title Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model
title_full Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model
title_fullStr Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model
title_full_unstemmed Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model
title_short Assessing the impacts of genetic defects on starch metabolism in Arabidopsis plants using the carbon homeostasis model
title_sort assessing the impacts of genetic defects on starch metabolism in arabidopsis plants using the carbon homeostasis model
topic Life Sciences–Mathematics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684347/
https://www.ncbi.nlm.nih.gov/pubmed/38016639
http://dx.doi.org/10.1098/rsif.2023.0426
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