Zhao Tao, Schranz M Eric
Biosystematics Group, Wageningen University, 6708 PB Wageningen, The Netherlands.
Biosystematics Group, Wageningen University, 6708 PB Wageningen, The Netherlands.
Curr Opin Plant Biol. 2017 Apr;36:129-134. doi: 10.1016/j.pbi.2017.03.001. Epub 2017 Mar 19.
Network analysis approaches have been widely applied across disciplines. In biology, network analysis is now frequently adopted to organize protein-protein interactions, organize pathways and/or to interpret gene co-expression patterns. However, comparative genomic analyses still largely rely on pairwise comparisons and linear visualizations between genomes. In this article, we discuss the challenges and prospects for establishing a generalized plant phylogenomic synteny network approach needed to interpret the wealth of new and emerging genomic data. We illustrate our approach with an example synteny network of B-class floral MADS-box genes. A broad synteny network approach holds great promise for understanding the evolutionary history of genes and genomes across broad phylogenetic groups and divergence times.
网络分析方法已在各学科中广泛应用。在生物学领域,目前经常采用网络分析来组织蛋白质 - 蛋白质相互作用、梳理信号通路和 / 或解释基因共表达模式。然而,比较基因组分析在很大程度上仍依赖于基因组之间的成对比较和线性可视化。在本文中,我们讨论了建立一种通用的植物系统发育基因组共线性网络方法所面临的挑战和前景,该方法对于解读大量新出现的基因组数据至关重要。我们以B类花器官MADS - box基因的共线性网络为例来说明我们的方法。一种广泛的共线性网络方法对于理解广泛系统发育群体和分化时间内基因和基因组的进化历史具有巨大潜力。