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大豆[Glycine max (L.) Merr.]叶片发育动态的iTRAQ蛋白质谱分析

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

作者信息

Qin Jun, Zhang Jianan, Wang Fengmin, Wang Jinghua, Zheng Zhi, Yin Changcheng, Chen Hao, Shi Ainong, Zhang Bo, Chen Pengyin, Zhang Mengchen

机构信息

National Soybean Improvement Center Shijiazhuang Sub-Center. North China Key Laboratory of Biology and Genetic Improvement of Soybean Ministry of Agriculture, Cereal & Oil Crop Institute, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, P.R. China.

Department of Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, AR, United States of America.

出版信息

PLoS One. 2017 Sep 27;12(9):e0181910. doi: 10.1371/journal.pone.0181910. eCollection 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.

摘要

早5241是一个优良的大豆[Glycine max (L.) Merr.]品系和骨干亲本。在本研究中,我们采用iTRAQ技术分析了早5241叶片发育过程中的蛋白质组和蛋白质表达谱。在所有实验中,我们共鉴定出1245种蛋白质,其中只有45种先前已有注释。在三个生物学重复之间的重叠蛋白质中,598种鉴定出有2个独特肽段的蛋白质得到了可靠定量。蛋白质数据集被分类为36个GO功能术语,其中光合作用术语的富集最为显著。共有113种蛋白质被定义为在叶片发育过程中差异表达;分别发现41种蛋白质在2周龄和4周龄叶片之间差异表达,84种蛋白质在2周龄和6周龄叶片之间差异表达。数据的聚类分析揭示了动态蛋白质组。注释为电子载体活性的蛋白质在峰值表达谱中大量富集,而光合作用相关蛋白质在整个时间进程中受到负调控。该数据集将为采用系统生物学方法理解光合作用发育奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd7e/5617144/65f5bc0fd82a/pone.0181910.g001.jpg

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