Proteomic analysis of maize grain development using iTRAQ reveals temporal programs of diverse metabolic processes.
Grain development in maize is an essential process in the plant's life cycle and is vital for use of the plant as a crop for animals and humans. However, little is known regarding the protein regulatory networks that control grain development. Here, isobaric tag for relative and absolute quantification (iTRAQ) technology was used to analyze temporal changes in protein expression during maize grain development.



Maize grain proteins and changes in protein expression at eight developmental stages from 3 to 50 d after pollination (DAP) were performed using iTRAQ-based proteomics. Overall, 4751 proteins were identified; 2639 of these were quantified and 1235 showed at least 1.5-fold changes in expression levels at different developmental stages and were identified as differentially expressed proteins (DEPs). The DEPs were involved in different cellular and metabolic processes with a preferential distribution to protein synthesis/destination and metabolism categories. A K-means clustering analysis revealed coordinated protein expression associated with different functional categories/subcategories at different development stages.



Our results revealed developing maize grain display different proteomic characteristics at distinct stages, such as numerous DEPs for cell growth/division were highly expressed during early stages, whereas those for starch biosynthesis and defense/stress accumulated in middle and late stages, respectively. We also observed coordinated expression of multiple proteins of the antioxidant system, which are essential for the maintenance of reactive oxygen species (ROS) homeostasis during grain development. Particularly, some DEPs, such as zinc metallothionein class II, pyruvate orthophosphate dikinase (PPDK) and 14-3-3 proteins, undergo major changes in expression at specific developmental stages, suggesting their roles in maize grain development. These results provide a valuable resource for analyzing protein function on a global scale and also provide new insights into the potential protein regulatory networks that control grain yield and quality.
State Key Laboratory of Crop Biology and College of Agronomy, Shandong Agricultural University, Taian, 271018, Shandong, People's Republic of China.
Tao
T
Yu
State Key Laboratory of Crop Biology and College of Agronomy, Shandong Agricultural University, Taian, 271018, Shandong, People's Republic of China.
Geng
G
Li
State Key Laboratory of Crop Biology and College of Agronomy, Shandong Agricultural University, Taian, 271018, Shandong, People's Republic of China. stdong@sdau.edu.cn.
Shuting
S
Dong
State Key Laboratory of Crop Biology and College of Agronomy, Shandong Agricultural University, Taian, 271018, Shandong, People's Republic of China. liupengsdau@126.com.
Peng
P
Liu
State Key Laboratory of Crop Biology and College of Agronomy, Shandong Agricultural University, Taian, 271018, Shandong, People's Republic of China.
Jiwang
J
Zhang
State Key Laboratory of Crop Biology and College of Agronomy, Shandong Agricultural University, Taian, 271018, Shandong, People's Republic of China.
Bin
B
Zhao
D016000:Cluster Analysis; D002523:Edible Grain / Q000254:growth & development / Q000378:metabolism*; D015870:Gene Expression; D010940:Plant Proteins / Q000378:metabolism*; D020543:Proteome; D003313:Zea mays / Q000254:growth & development / Q000378:metabolism*
D010940:Plant Proteins; D020543:Proteome
Grain development; Maize; Proteomics; Starch; iTRAQ