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iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves
Zao5241 is an elite soybean [Glycine max (L.) Merr.] line and backbone parent. In this study, we employed iTRAQ to analyze the proteomes and protein expression profiles of Zao5241 during leaf development. We identified 1,245 proteins in all experiments, of which only 45 had been previously annotated...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617144/ https://www.ncbi.nlm.nih.gov/pubmed/28953898 http://dx.doi.org/10.1371/journal.pone.0181910 |
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author | Qin, Jun Zhang, Jianan Wang, Fengmin Wang, Jinghua Zheng, Zhi Yin, Changcheng Chen, Hao Shi, Ainong Zhang, Bo Chen, Pengyin Zhang, Mengchen |
author_facet | Qin, Jun Zhang, Jianan Wang, Fengmin Wang, Jinghua Zheng, Zhi Yin, Changcheng Chen, Hao Shi, Ainong Zhang, Bo Chen, Pengyin Zhang, Mengchen |
author_sort | Qin, Jun |
collection | PubMed |
description | Zao5241 is an elite soybean [Glycine max (L.) Merr.] line and backbone parent. In this study, we employed iTRAQ to analyze the proteomes and protein expression profiles of Zao5241 during leaf development. We identified 1,245 proteins in all experiments, of which only 45 had been previously annotated. Among overlapping proteins between three biological replicates, 598 proteins with 2 unique peptides identified were reliably quantified. The protein datasets were classified into 36 GO functional terms, and the photosynthesis term was most significantly enriched. A total of 113 proteins were defined as being differentially expressed during leaf development; 41 proteins were found to be differently expressed between two and four week old leaves, and 84 proteins were found to be differently expressed between two and six week old leaves, respectively. Cluster analysis of the data revealed dynamic proteomes. Proteins annotated as electron carrier activity were greatly enriched in the peak expression profiles, and photosynthesis proteins were negatively modulated along the whole time course. This dataset will serve as the foundation for a systems biology approach to understanding photosynthetic development. |
format | Online Article Text |
id | pubmed-5617144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56171442017-10-09 iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves Qin, Jun Zhang, Jianan Wang, Fengmin Wang, Jinghua Zheng, Zhi Yin, Changcheng Chen, Hao Shi, Ainong Zhang, Bo Chen, Pengyin Zhang, Mengchen PLoS One Research Article Zao5241 is an elite soybean [Glycine max (L.) Merr.] line and backbone parent. In this study, we employed iTRAQ to analyze the proteomes and protein expression profiles of Zao5241 during leaf development. We identified 1,245 proteins in all experiments, of which only 45 had been previously annotated. Among overlapping proteins between three biological replicates, 598 proteins with 2 unique peptides identified were reliably quantified. The protein datasets were classified into 36 GO functional terms, and the photosynthesis term was most significantly enriched. A total of 113 proteins were defined as being differentially expressed during leaf development; 41 proteins were found to be differently expressed between two and four week old leaves, and 84 proteins were found to be differently expressed between two and six week old leaves, respectively. Cluster analysis of the data revealed dynamic proteomes. Proteins annotated as electron carrier activity were greatly enriched in the peak expression profiles, and photosynthesis proteins were negatively modulated along the whole time course. This dataset will serve as the foundation for a systems biology approach to understanding photosynthetic development. Public Library of Science 2017-09-27 /pmc/articles/PMC5617144/ /pubmed/28953898 http://dx.doi.org/10.1371/journal.pone.0181910 Text en © 2017 Qin 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 Qin, Jun Zhang, Jianan Wang, Fengmin Wang, Jinghua Zheng, Zhi Yin, Changcheng Chen, Hao Shi, Ainong Zhang, Bo Chen, Pengyin Zhang, Mengchen iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves |
title | iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves |
title_full | iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves |
title_fullStr | iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves |
title_full_unstemmed | iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves |
title_short | iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves |
title_sort | itraq protein profile analysis of developmental dynamics in soybean [glycine max (l.) merr.] leaves |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617144/ https://www.ncbi.nlm.nih.gov/pubmed/28953898 http://dx.doi.org/10.1371/journal.pone.0181910 |
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