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Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress

Rice yield and quality are adversely affected by increasing global surface temperature, and are strongly attributed to high night temperature (HNT) than high daytime temperature. However, the molecular mechanism underlying the heat‐tolerant characteristics of rice remains unclear. In the present stu...

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Autores principales: Zhang, Hong‐Yu, Lei, Gang, Zhou, Hui‐Wen, He, Chao, Liao, Jiang‐Lin, Huang, Ying‐Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811895/
https://www.ncbi.nlm.nih.gov/pubmed/28101936
http://dx.doi.org/10.1002/pmic.201600365
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author Zhang, Hong‐Yu
Lei, Gang
Zhou, Hui‐Wen
He, Chao
Liao, Jiang‐Lin
Huang, Ying‐Jin
author_facet Zhang, Hong‐Yu
Lei, Gang
Zhou, Hui‐Wen
He, Chao
Liao, Jiang‐Lin
Huang, Ying‐Jin
author_sort Zhang, Hong‐Yu
collection PubMed
description Rice yield and quality are adversely affected by increasing global surface temperature, and are strongly attributed to high night temperature (HNT) than high daytime temperature. However, the molecular mechanism underlying the heat‐tolerant characteristics of rice remains unclear. In the present study, we compared the proteomes of heat‐tolerant and ‐sensitive lines of rice at early milky stage using an iTRAQ method. We have identified 38 differentially expressed proteins between the two lines, of which 32 proteins have been functionally annotated in NCBI and/or the UniProt database. These proteins were then classified into seven functional subgroups, which include signal transduction, transcript regulation, oxidation, defense response, transport, energy metabolism, and biosynthesis. Further analysis indicated that HNT stress could disrupt the redox equilibrium of plant cells, which in turn triggers the calcium‐dependent protein kinase and COP9 signalosome, thereby regulating downstream genes/proteins that are involved in the HNT response. The candidate proteins may provide genetic resources for the improvement of heat‐tolerant characteristics in rice, and the proposed model for signal transduction and transcriptional regulation may facilitate in the elucidation of the molecular mechanism underlying the response to HNT stress in rice.
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spelling pubmed-58118952018-02-16 Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress Zhang, Hong‐Yu Lei, Gang Zhou, Hui‐Wen He, Chao Liao, Jiang‐Lin Huang, Ying‐Jin Proteomics Plant Proteomics Rice yield and quality are adversely affected by increasing global surface temperature, and are strongly attributed to high night temperature (HNT) than high daytime temperature. However, the molecular mechanism underlying the heat‐tolerant characteristics of rice remains unclear. In the present study, we compared the proteomes of heat‐tolerant and ‐sensitive lines of rice at early milky stage using an iTRAQ method. We have identified 38 differentially expressed proteins between the two lines, of which 32 proteins have been functionally annotated in NCBI and/or the UniProt database. These proteins were then classified into seven functional subgroups, which include signal transduction, transcript regulation, oxidation, defense response, transport, energy metabolism, and biosynthesis. Further analysis indicated that HNT stress could disrupt the redox equilibrium of plant cells, which in turn triggers the calcium‐dependent protein kinase and COP9 signalosome, thereby regulating downstream genes/proteins that are involved in the HNT response. The candidate proteins may provide genetic resources for the improvement of heat‐tolerant characteristics in rice, and the proposed model for signal transduction and transcriptional regulation may facilitate in the elucidation of the molecular mechanism underlying the response to HNT stress in rice. John Wiley and Sons Inc. 2017-03-07 2017-03 /pmc/articles/PMC5811895/ /pubmed/28101936 http://dx.doi.org/10.1002/pmic.201600365 Text en © 2017 The Authors, Proteomics Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Plant Proteomics
Zhang, Hong‐Yu
Lei, Gang
Zhou, Hui‐Wen
He, Chao
Liao, Jiang‐Lin
Huang, Ying‐Jin
Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress
title Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress
title_full Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress
title_fullStr Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress
title_full_unstemmed Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress
title_short Quantitative iTRAQ‐based proteomic analysis of rice grains to assess high night temperature stress
title_sort quantitative itraq‐based proteomic analysis of rice grains to assess high night temperature stress
topic Plant Proteomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811895/
https://www.ncbi.nlm.nih.gov/pubmed/28101936
http://dx.doi.org/10.1002/pmic.201600365
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