| Literature DB >> 33974222 |
Xi Zhang1,2, Yi Man1,2, Xiaohong Zhuang3, Jinbo Shen4, Yi Zhang5, Yaning Cui1,2, Meng Yu1,2, Jingjing Xing6, Guangchao Wang2, Na Lian1,2, Zijian Hu2, Lingyu Ma2, Weiwei Shen2, Shunyao Yang2, Huimin Xu7, Jiahui Bian2, Yanping Jing2, Xiaojuan Li1,2, Ruili Li1,2, Tonglin Mao8, Yuling Jiao9, Haiyun Ren5, Jinxing Lin10,11.
Abstract
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.Entities:
Keywords: connectivity; connectome; cytoarchitecture; cytoskeleton; membrane contact site; multi-level imaging techniques; multicellularity; multiscale network; organelle interaction; topological analysis
Mesh:
Year: 2021 PMID: 33974222 DOI: 10.1007/s11427-020-1910-1
Source DB: PubMed Journal: Sci China Life Sci ISSN: 1674-7305 Impact factor: 6.038