Penfold Christopher A, Buchanan-Wollaston Vicky
Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, UK.
Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, UK School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
J Exp Bot. 2014 Jul;65(14):3859-73. doi: 10.1093/jxb/eru054. Epub 2014 Mar 5.
The process of leaf senescence is induced by an extensive range of developmental and environmental signals and controlled by multiple, cross-linking pathways, many of which overlap with plant stress-response signals. Elucidation of this complex regulation requires a step beyond a traditional one-gene-at-a-time analysis. Application of a more global analysis using statistical and mathematical tools of systems biology is an approach that is being applied to address this problem. A variety of modelling methods applicable to the analysis of current and future senescence data are reviewed and discussed using some senescence-specific examples. Network modelling with a senescence transcriptome time course followed by testing predictions with gene-expression data illustrates the application of systems biology tools.
叶片衰老过程由广泛的发育和环境信号诱导，并受多种相互交联的途径控制，其中许多途径与植物应激反应信号重叠。阐明这种复杂的调控需要超越传统的一次一个基因的分析方法。运用系统生物学的统计和数学工具进行更全面的分析是一种正在被应用于解决这个问题的方法。本文使用一些衰老特有的例子，对适用于分析当前和未来衰老数据的各种建模方法进行了综述和讨论。通过衰老转录组时间进程进行网络建模，随后用基因表达数据检验预测结果，说明了系统生物学工具的应用。
