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A Conserved Core of Programmed Cell Death Indicator Genes Discriminates Developmentally and Environmentally Induced Programmed Cell Death in Plants

机译:程序性细胞死亡指示剂基因的保守核心区分植物中发育和环境诱导的程序性细胞死亡

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摘要

A plethora of diverse programmed cell death (PCD) processes has been described in living organisms. In animals and plants, different forms of PCD play crucial roles in development, immunity, and responses to the environment. While the molecular control of some animal PCD forms such as apoptosis is known in great detail, we still know comparatively little about the regulation of the diverse types of plant PCD. In part, this deficiency in molecular understanding is caused by the lack of reliable reporters to detect PCD processes. Here, we addressed this issue by using a combination of bioinformatics approaches to identify commonly regulated genes during diverse plant PCD processes in Arabidopsis (Arabidopsis thaliana). Our results indicate that the transcriptional signatures of developmentally controlled cell death are largely distinct from the ones associated with environmentally induced cell death. Moreover, different cases of developmental PCD share a set of cell death-associated genes. Most of these genes are evolutionary conserved within the green plant lineage, arguing for an evolutionary conserved core machinery of developmental PCD. Based on this information, we established an array of specific promoter-reporter lines for developmental PCD in Arabidopsis. These PCD indicators represent a powerful resource that can be used in addition to established morphological and biochemical methods to detect and analyze PCD processes in vivo and in planta.
机译:在活生物体中已经描述了多种多样的程序性细胞死亡(PCD)过程。在动植物中,不同形式的PCD在发育,免疫力和对环境的响应中起着至关重要的作用。尽管对某些动物PCD形式(例如细胞凋亡)的分子控制非常详细,但对各种植物PCD的调控知之甚少。这种分子理解上的不足部分是由于缺乏可靠的报告分子来检测PCD过程所致。在这里,我们通过使用生物信息学方法的组合解决了这个问题,从而在拟南芥(Arabidopsis thaliana)的各种植物PCD过程中鉴定出共同调控的基因。我们的结果表明,发育控制的细胞死亡的转录特征与环境诱导的细胞死亡相关的转录特征大不相同。此外,发育中的PCD的不同情况共享一组细胞死亡相关基因。这些基因大多数在绿色植物谱系中是进化保守的,认为是进化性PCD的进化保守核心机制。基于此信息,我们建立了拟南芥中发育PCD的一系列特定启动子-报告子系。这些PCD指标代表着强大的资源,除了已建立的形态学和生化方法,还可用于检测和分析体内和植物体内的PCD过程。

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