A Bioinformatics Approach to Investigating Leaf Development

N. Eckardt
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Abstract

The question of how leaf form is established has long intrigued plant biologists and has important ramifications in both natural and agricultural systems. Heterochrony refers to developmental changes in the timing of events that lead to changes in the size and/or shape of an organ. Heterochronic genes control the temporal dimension of development, in contrast with homeotic genes, which control spatial patterns of development (Slack and Ruvkun, 1997). Chronological changes during leaf morphogenesis often are monitored using anatomical markers, such as trichomes, guard cells, and vascular cells. However, in mutants lacking these cell types it can be difficult to distinguish between factors affecting the progress of leaf maturation (heterochrony) and cell fate specification. Efroni et al. (pages 2293–2306) introduce a bioinformatics approach to quantifying the stages of leaf development based on gene expression profiles. The authors make use of publicly available gene expression data to develop an algorithm for defining a leaf differentiation score, termed the digital differentiation index, which is based on expression patterns that change with leaf age. This approach is found to work surprisingly well on samples from different labs and different ecotypes, despite the limitations inherent in inferring physiological or morphological status solely from gene expression data. The authors proceed to use this approach to investigate the role of CINCINNATA (CIN)related TCP transcription factors in the control of leaf morphogenesis. CIN-TCPs have been implicated in regulation of surface curvature in Antirrhinum and in formation of tomato compound leaves (Nath, et al., 2003; Ori et al., 2007). To find a unifying theme for these functions, the authors used the digital differentiation index to examine Arabidopsis leaves in which the activity of all eight CIN-TCPs was downregulated by overexpression of microRNAs (miR319, which targets five of the eight TCPs [Palatnik et al., 2003], and an artificial microRNA designed to target the remaining three). Analysis of young transgenic lines with this approach implicated regulation of leaf differentiation as a prime role of these TCPs. In mature mutant plants, cell size and number was altered dramatically, suggesting that further stages of leaf differentiation were also delayed or inhibited in the absence of TCP activity (see figure). This work provides a new tool for the investigation of heterochronic pathways operating in plant organs or at the whole-shoot level and highlights the role of CIN-TCPs as heterochronic regulators of leaf development.
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研究叶片发育的生物信息学方法
长期以来,植物生物学家对叶片形成的问题一直很感兴趣,并且在自然和农业系统中都有重要的影响。异时性是指发育过程中发生的时间变化导致器官大小和/或形状的变化。异时基因控制发育的时间维度,而同时基因控制发育的空间模式(Slack和Ruvkun, 1997)。叶片形态发生过程中的时间变化通常用解剖学标记物来监测,如毛状体、保卫细胞和维管细胞。然而,在缺乏这些细胞类型的突变体中,很难区分影响叶片成熟进程(异时性)和细胞命运规范的因素。Efroni等人(2293-2306页)介绍了一种基于基因表达谱的生物信息学方法来量化叶片发育阶段。作者利用公开可用的基因表达数据来开发一种算法,用于定义叶片分化评分,称为数字分化指数,该指数基于随叶龄变化的表达模式。尽管仅从基因表达数据推断生理或形态状态的固有局限性,但这种方法被发现在不同实验室和不同生态型的样本上出奇地有效。作者继续使用这种方法来研究辛辛那提(CIN)相关的TCP转录因子在控制叶片形态发生中的作用。cin - tcp参与了Antirrhinum表面曲率的调节和番茄复叶的形成(Nath等,2003;Ori et al., 2007)。为了找到这些功能的统一主题,作者使用数字分化指数来检查拟南芥叶片,其中所有8个cin - tcp的活性都因microRNA的过表达而下调(miR319靶向8个tcp中的5个[Palatnik等,2003],以及设计用于靶向其余3个的人工microRNA)。用这种方法对转基因幼体的分析表明,这些tcp对叶片分化的调控是主要作用。在成熟突变植物中,细胞大小和数量发生了显著变化,这表明在缺乏TCP活性的情况下,叶片分化的进一步阶段也被延迟或抑制(见图)。这项工作为研究植物器官或全茎水平的异时通路提供了新的工具,并强调了cin - tcp作为叶片发育的异时调节剂的作用。
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