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iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves.

Authors :
Jun Qin
Jianan Zhang
Fengmin Wang
Jinghua Wang
Zhi Zheng
Changcheng Yin
Hao Chen
Ainong Shi
Bo Zhang
Pengyin Chen
Mengchen Zhang
Source :
PLoS ONE, Vol 12, Iss 9, p e0181910 (2017)
Publication Year :
2017
Publisher :
Public Library of Science (PLoS), 2017.

Abstract

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.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
12
Issue :
9
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.5a4cfd67cf0b4a3e9a49e670e6f107a2
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0181910