Han Linqian, Zhong Wanshun, Qian Jia, Jin Minliang, Tian Peng, Zhu Wanchao, Zhang Hongwei, Sun Yonghao, Feng Jia-Wu, Liu Xiangguo, Chen Guo, Farid Babar, Li Ruonan, Xiong Zimo, Tian Zhihui, Li Juan, Luo Zi, Du Dengxiang, Chen Sijia, Jin Qixiao, Li Jiaxin, Li Zhao, Liang Yan, Jin Xiaomeng, Peng Yong, Zheng Chang, Ye Xinnan, Yin Yuejia, Chen Hong, Li Weifu, Chen Ling-Ling, Li Qing, Yan Jianbing, Yang Fang, Li Lin
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Hubei Hongshan Laboratory, Wuhan, China.
Nat Genet. 2023 Jan;55(1):144-153. doi: 10.1038/s41588-022-01262-1. Epub 2022 Dec 29.
Networks are powerful tools to uncover functional roles of genes in phenotypic variation at a system-wide scale. Here, we constructed a maize network map that contains the genomic, transcriptomic, translatomic and proteomic networks across maize development. This map comprises over 2.8 million edges in more than 1,400 functional subnetworks, demonstrating an extensive network divergence of duplicated genes. We applied this map to identify factors regulating flowering time and identified 2,651 genes enriched in eight subnetworks. We validated the functions of 20 genes, including 18 with previously unknown connections to flowering time in maize. Furthermore, we uncovered a flowering pathway involving histone modification. The multi-omics integrative network map illustrates the principles of how molecular networks connect different types of genes and potential pathways to map a genome-wide functional landscape in maize, which should be applicable in a wide range of species.
网络是在全系统范围内揭示基因在表型变异中的功能作用的强大工具。在此,我们构建了一个玉米网络图谱,其中包含了玉米发育过程中的基因组、转录组、翻译组和蛋白质组网络。该图谱在1400多个功能子网中包含超过280万条边,表明重复基因存在广泛的网络差异。我们应用该图谱来鉴定调控开花时间的因子,并鉴定出在八个子网中富集的2651个基因。我们验证了20个基因的功能,其中包括18个与玉米开花时间此前未知关联的基因。此外,我们还发现了一条涉及组蛋白修饰的开花途径。这个多组学整合网络图谱阐明了分子网络如何连接不同类型的基因以及潜在途径以绘制玉米全基因组功能景观的原理,这应该适用于广泛的物种。