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

被引:7
作者
Qin, Jun [1 ,2 ]
Zhang, Jianan [3 ]
Wang, Fengmin [1 ]
Wang, Jinghua [1 ]
Zheng, Zhi [3 ]
Yin, Changcheng [4 ]
Chen, Hao [4 ]
Shi, Ainong [2 ]
Zhang, Bo [5 ]
Chen, Pengyin [2 ]
Zhang, Mengchen [1 ]
机构
[1] Hebei Acad Agr & Forestry Sci, North China Key Lab Biol & Genet Improvement Soyb, Natl Soybean Improvement Ctr,Minist Agr, Cereal & Oil Crop Inst,Shijiazhuang Sub Ctr, Shijiazhuang, Hebei, Peoples R China
[2] Univ Arkansas, Dept Crop Soil & Environm Sci, Fayetteville, AR 72701 USA
[3] Hebei Acad Agr & Forestry Sci, Minor Cereal Crops Lab Hebei Prov, Inst Millet Crops, Natl Foxtail Millet Improvement Ctr, Shijiazhuang, Hebei, Peoples R China
[4] Beijing Prot Innovat, B-8 Beijing Airport Ind Zone, Beijing, Peoples R China
[5] Virginia Tech, Dept Crop Soil & Environm Sci, Blacksburg, VA USA
来源
PLOS ONE | 2017年 / 12卷 / 09期
基金
中国国家自然科学基金;
关键词
KYOTO ENCYCLOPEDIA; REVEALS; IDENTIFICATION; TECHNOLOGIES; DATABASE; STRESS; GENES; KEGG;
D O I
10.1371/journal.pone.0181910
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:13
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