多细胞生物
网络分析
植物代谢
计算机科学
系统生物学
生物网络
有机体
适应(眼睛)
人工智能
计算生物学
数据科学
生物
复杂网络
神经科学
工程类
万维网
古生物学
电气工程
基因
核糖核酸
生物化学
作者
Xi Zhang,Yi Man,Xiaohong Zhuang,Jinbo Shen,Yi Zhang,Yaning Cui,Meng Yu,Jingjing Xing,Guangchao Wang,Na Lian,Zijian Hu,Lingyu Ma,Weiwei Shen,Shunyao Yang,Huimin Xu,Jiahui Bian,Yanping Jing,Xiaojuan Li,Ruili Li,Tonglin Mao
标识
DOI:10.1007/s11427-020-1910-1
摘要
In multicellular and even single-celled organisms, individual components are interconnected at multiscale levels to produce enormously complex biological networks that help these systems maintain homeostasis for development and environmental adaptation. Systems biology studies initially adopted network analysis to explore how relationships between individual components give rise to complex biological processes. Network analysis has been applied to dissect the complex connectivity of mammalian brains across different scales in time and space in The Human Brain Project. In plant science, network analysis has similarly been applied to study the connectivity of plant components at the molecular, subcellular, cellular, organic, and organism levels. Analysis of these multiscale networks contributes to our understanding of how genotype determines phenotype. In this review, we summarized the theoretical framework of plant multiscale networks and introduced studies investigating plant networks by various experimental and computational modalities. We next discussed the currently available analytic methodologies and multi-level imaging techniques used to map multiscale networks in plants. Finally, we highlighted some of the technical challenges and key questions remaining to be addressed in this emerging field.
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