Max-Planck Institute of Molecular Plant Physiology, Potsdam, Germany.
Plant Signal Behav. 2012 Dec;7(12):1639-47. doi: 10.4161/psb.22264. Epub 2012 Oct 16.
Tissue specificity or dramatically different expression levels of transcription factors in different tissue types allows differential regulation of tissue development as well as alternate modes of metabolic regulation. Recently we reported (Rohrmann et al., 2011) the development of a quantitative real-time PCR platform (qRT-PCR) that allows accurate quantification of the expression level of approximately 1000 tomato transcription factors. Application of this platform to samples collected during a ripening time course of wild type tomato and the high pigment mutant hp1 allowed us to identify transcription factors of importance both to ripening per se and to the metabolic shifts that occur during this critical biological process. Here we extend the quantitative real-time PCR analyses to include samples from flower, leaf, stem and root of wild type tomato. Co-expression network analysis to identify both conserved and unique regulatory networks both between individual tissues of tomato and also in cross-species comparisons of specific tissues, suggested some key TF genes which are involved in photosynthesis and fruit development.
组织特异性或转录因子在不同组织类型中表达水平的显著差异，允许对组织发育进行差异调节，以及代谢调节的替代模式。最近，我们报道了（Rohrmann 等人，2011 年）开发了一种定量实时 PCR 平台（qRT-PCR），该平台允许准确量化大约 1000 个番茄转录因子的表达水平。该平台应用于野生型番茄和高色素突变体 hp1 的成熟时间过程中收集的样本，使我们能够识别对成熟本身以及在这个关键生物学过程中发生的代谢转变都很重要的转录因子。在这里，我们将定量实时 PCR 分析扩展到包括野生型番茄的花、叶、茎和根的样本。共表达网络分析，以识别番茄单个组织之间以及特定组织的跨物种比较之间的保守和独特的调控网络，提示了一些关键的 TF 基因，这些基因参与光合作用和果实发育。
