Transcriptome analysis reveals key differentially expressed genes involved in wheat grain development

作     者：Yonglong Yu Dong Zhu Chaoying Ma Hui Cao Yaping Wang Yanhao Xu Wenying Zhang Yueming Yan 

作者机构：College of Life Sciences Capital Normal University Hubei Collaborative Innovation Center for Grain Industry/Yangtze University 

出 版 物：《The Crop Journal》 (作物学报（英文版）)

年 卷 期：2016年第4卷第2期

页      面：92-106页

核心收录：

学科分类：0710[理学-生物学] 09[农学] 0901[农学-作物学] 0902[农学-园艺学] 

基　　金：financially supported by grants from the National Natural Science Foundation of China(31471485) Natural Science Foundation of Beijing City the Key Developmental Project of Science and Technology from Beijing Municipal Commission of Education(KZ201410028031) 

主　　题：Wheat Transcriptome microarray Differentially expressed genes Grain development 

摘      要：Wheat seed development is an important physiological process of seed maturation and directly affects wheat yield and quality. In this study, we performed dynamic transcriptome microarray analysis of an elite Chinese bread wheat cultivar(Jimai 20) during grain development using the Gene Chip Wheat Genome Array. Grain morphology and scanning electron microscope observations showed that the period of 11–15 days post-anthesis(DPA) was a key stage for the synthesis and accumulation of seed starch. Genome-wide transcriptional profiling and significance analysis of microarrays revealed that the period from 11 to 15 DPA was more important than the 15–20 DPA stage for the synthesis and accumulation of nutritive *** test of cluster analysis of differential genes revealed five statistically significant gene expression profiles. Gene ontology annotation and enrichment analysis gave further information about differentially expressed genes, and Map Man analysis revealed expression changes within functional groups during seed development. Metabolic pathway network analysis showed that major and minor metabolic pathways regulate one another to ensure regular seed development and nutritive reserve accumulation. We performed gene co-expression network analysis to identify genes that play vital roles in seed development and identified several key genes involved in important metabolic pathways. The transcriptional expression of eight key genes involved in starch and protein synthesis and stress defense was further validated by q RT-PCR. Our results provide new insight into the molecular mechanisms of wheat seed development and the determinants of yield and quality.