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A multi-omics integrative network map of maize.

Linqian HanWanshun ZhongJia QianMinliang JinPeng TianWanchao ZhuHongwei ZhangYonghao SunJia-Wu FengXiangguo LiuGuo ChenBabar FaridRuonan LiZimo XiongZhihui TianJuan LiZi LuoDengxiang DuSijia ChenQixiao JinJiaxin LiZhao LiYan LiangXiaomeng JinYong PengChang ZhengXinnan YeYuejia YinHong ChenWeifu LiLing-Ling ChenQing LiJianbing YanFang YangLin Li
Published in: Nature genetics (2022)
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.
Keyphrases
  • genome wide
  • dna methylation
  • single cell
  • high density
  • bioinformatics analysis
  • genome wide identification
  • copy number
  • network analysis
  • risk assessment
  • wastewater treatment
  • human health