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Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE

Clock-generated biological rhythms provide an adaptive advantage to an organism, resulting in increased fitness and survival. To better elucidate the plant response to the circadian system, we surveyed protein oscillations in Arabidopsis seedlings under constant light. Using large-scale two-dimensio...

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Autores principales: Choudhary, Mani K., Nomura, Yuko, Shi, Hua, Nakagami, Hirofumi, Somers, David E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940426/
https://www.ncbi.nlm.nih.gov/pubmed/27462335
http://dx.doi.org/10.3389/fpls.2016.01007
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author Choudhary, Mani K.
Nomura, Yuko
Shi, Hua
Nakagami, Hirofumi
Somers, David E.
author_facet Choudhary, Mani K.
Nomura, Yuko
Shi, Hua
Nakagami, Hirofumi
Somers, David E.
author_sort Choudhary, Mani K.
collection PubMed
description Clock-generated biological rhythms provide an adaptive advantage to an organism, resulting in increased fitness and survival. To better elucidate the plant response to the circadian system, we surveyed protein oscillations in Arabidopsis seedlings under constant light. Using large-scale two-dimensional difference in gel electrophoresis (2D-DIGE) the abundance of more than 1000 proteins spots was reproducibly resolved quantified and profiled across a circadian time series. A comparison between phenol-extracted samples and RuBisCO-depleted extracts identified 71 and 40 rhythmically-expressed proteins, respectively, and between 30 and 40% of these derive from non-rhythmic transcripts. These included proteins influencing transcriptional regulation, translation, metabolism, photosynthesis, protein chaperones, and stress-mediated responses. The phasing of maximum expression for the cyclic proteins was similar for both datasets, with a nearly even distribution of peak phases across the time series. STRING clustering analysis identified two interaction networks with a notable number of oscillating proteins: plastid-based and cytosolic chaperones and 10 proteins involved in photosynthesis. The oscillation of the ABA receptor, PYR1/RCAR11, with peak expression near dusk adds to a growing body of evidence that intimately ties ABA signaling to the circadian system. Taken together, this study provides new insights into the importance of post-transcriptional circadian control of plant physiology and metabolism.
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spelling pubmed-49404262016-07-26 Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE Choudhary, Mani K. Nomura, Yuko Shi, Hua Nakagami, Hirofumi Somers, David E. Front Plant Sci Plant Science Clock-generated biological rhythms provide an adaptive advantage to an organism, resulting in increased fitness and survival. To better elucidate the plant response to the circadian system, we surveyed protein oscillations in Arabidopsis seedlings under constant light. Using large-scale two-dimensional difference in gel electrophoresis (2D-DIGE) the abundance of more than 1000 proteins spots was reproducibly resolved quantified and profiled across a circadian time series. A comparison between phenol-extracted samples and RuBisCO-depleted extracts identified 71 and 40 rhythmically-expressed proteins, respectively, and between 30 and 40% of these derive from non-rhythmic transcripts. These included proteins influencing transcriptional regulation, translation, metabolism, photosynthesis, protein chaperones, and stress-mediated responses. The phasing of maximum expression for the cyclic proteins was similar for both datasets, with a nearly even distribution of peak phases across the time series. STRING clustering analysis identified two interaction networks with a notable number of oscillating proteins: plastid-based and cytosolic chaperones and 10 proteins involved in photosynthesis. The oscillation of the ABA receptor, PYR1/RCAR11, with peak expression near dusk adds to a growing body of evidence that intimately ties ABA signaling to the circadian system. Taken together, this study provides new insights into the importance of post-transcriptional circadian control of plant physiology and metabolism. Frontiers Media S.A. 2016-07-12 /pmc/articles/PMC4940426/ /pubmed/27462335 http://dx.doi.org/10.3389/fpls.2016.01007 Text en Copyright © 2016 Choudhary, Nomura, Shi, Nakagami and Somers. http://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) or licensor 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
Choudhary, Mani K.
Nomura, Yuko
Shi, Hua
Nakagami, Hirofumi
Somers, David E.
Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE
title Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE
title_full Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE
title_fullStr Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE
title_full_unstemmed Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE
title_short Circadian Profiling of the Arabidopsis Proteome Using 2D-DIGE
title_sort circadian profiling of the arabidopsis proteome using 2d-dige
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940426/
https://www.ncbi.nlm.nih.gov/pubmed/27462335
http://dx.doi.org/10.3389/fpls.2016.01007
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