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High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response

Sugars act not only as substrates for plant metabolism, but also have a pivotal role in signaling pathways. Glucose signaling has been widely studied in the vascular plant Arabidopsis thaliana, but it has remained unexplored in non-vascular species such as Physcomitrella patens. To investigate P. pa...

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Autores principales: Chamorro-Flores, Alejandra, Tiessen-Favier, Axel, Gregorio-Jorge, Josefat, Villalobos-López, Miguel Angel, Guevara-García, Ángel Arturo, López-Meyer, Melina, Arroyo-Becerra, Analilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717569/
https://www.ncbi.nlm.nih.gov/pubmed/33275616
http://dx.doi.org/10.1371/journal.pone.0242919
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author Chamorro-Flores, Alejandra
Tiessen-Favier, Axel
Gregorio-Jorge, Josefat
Villalobos-López, Miguel Angel
Guevara-García, Ángel Arturo
López-Meyer, Melina
Arroyo-Becerra, Analilia
author_facet Chamorro-Flores, Alejandra
Tiessen-Favier, Axel
Gregorio-Jorge, Josefat
Villalobos-López, Miguel Angel
Guevara-García, Ángel Arturo
López-Meyer, Melina
Arroyo-Becerra, Analilia
author_sort Chamorro-Flores, Alejandra
collection PubMed
description Sugars act not only as substrates for plant metabolism, but also have a pivotal role in signaling pathways. Glucose signaling has been widely studied in the vascular plant Arabidopsis thaliana, but it has remained unexplored in non-vascular species such as Physcomitrella patens. To investigate P. patens response to high glucose treatment, we explored the dynamic changes in metabolism and protein population by applying a metabolomic fingerprint analysis (DIESI-MS), carbohydrate and chlorophyll quantification, Fv/Fm determination and label-free untargeted proteomics. Glucose feeding causes specific changes in P. patens metabolomic fingerprint, carbohydrate contents and protein accumulation, which is clearly different from those of osmotically induced responses. The maximal rate of PSII was not affected although chlorophyll decreased in both treatments. The biological process, cellular component, and molecular function gene ontology (GO) classifications of the differentially expressed proteins indicate the translation process is the most represented category in response to glucose, followed by photosynthesis, cellular response to oxidative stress and protein refolding. Importantly, although several proteins have high fold changes, these proteins have no predicted identity. The most significant discovery of our study at the proteome level is that high glucose increase abundance of proteins related to the translation process, which was not previously evidenced in non-vascular plants, indicating that regulation by glucose at the translational level is a partially conserved response in both plant lineages. To our knowledge, this is the first time that metabolome fingerprint and proteomic analyses are performed after a high sugar treatment in non-vascular plants. These findings unravel evolutionarily shared and differential responses between vascular and non-vascular plants.
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spelling pubmed-77175692020-12-09 High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response Chamorro-Flores, Alejandra Tiessen-Favier, Axel Gregorio-Jorge, Josefat Villalobos-López, Miguel Angel Guevara-García, Ángel Arturo López-Meyer, Melina Arroyo-Becerra, Analilia PLoS One Research Article Sugars act not only as substrates for plant metabolism, but also have a pivotal role in signaling pathways. Glucose signaling has been widely studied in the vascular plant Arabidopsis thaliana, but it has remained unexplored in non-vascular species such as Physcomitrella patens. To investigate P. patens response to high glucose treatment, we explored the dynamic changes in metabolism and protein population by applying a metabolomic fingerprint analysis (DIESI-MS), carbohydrate and chlorophyll quantification, Fv/Fm determination and label-free untargeted proteomics. Glucose feeding causes specific changes in P. patens metabolomic fingerprint, carbohydrate contents and protein accumulation, which is clearly different from those of osmotically induced responses. The maximal rate of PSII was not affected although chlorophyll decreased in both treatments. The biological process, cellular component, and molecular function gene ontology (GO) classifications of the differentially expressed proteins indicate the translation process is the most represented category in response to glucose, followed by photosynthesis, cellular response to oxidative stress and protein refolding. Importantly, although several proteins have high fold changes, these proteins have no predicted identity. The most significant discovery of our study at the proteome level is that high glucose increase abundance of proteins related to the translation process, which was not previously evidenced in non-vascular plants, indicating that regulation by glucose at the translational level is a partially conserved response in both plant lineages. To our knowledge, this is the first time that metabolome fingerprint and proteomic analyses are performed after a high sugar treatment in non-vascular plants. These findings unravel evolutionarily shared and differential responses between vascular and non-vascular plants. Public Library of Science 2020-12-04 /pmc/articles/PMC7717569/ /pubmed/33275616 http://dx.doi.org/10.1371/journal.pone.0242919 Text en © 2020 Chamorro-Flores et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chamorro-Flores, Alejandra
Tiessen-Favier, Axel
Gregorio-Jorge, Josefat
Villalobos-López, Miguel Angel
Guevara-García, Ángel Arturo
López-Meyer, Melina
Arroyo-Becerra, Analilia
High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response
title High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response
title_full High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response
title_fullStr High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response
title_full_unstemmed High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response
title_short High levels of glucose alter Physcomitrella patens metabolism and trigger a differential proteomic response
title_sort high levels of glucose alter physcomitrella patens metabolism and trigger a differential proteomic response
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717569/
https://www.ncbi.nlm.nih.gov/pubmed/33275616
http://dx.doi.org/10.1371/journal.pone.0242919
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