European Molecular Biology Laboratory, Grenoble Outstation, 38042 Grenoble, France.
New Phytol. 2012 Mar;193(4):859-66. doi: 10.1111/j.1469-8137.2011.03977.x.
The plant ionome varies both inter- and intraspecifically despite the highly conserved roles for particular elements across the plant kingdom. Element storage requires transport across the plasma membrane and commonly deposition within the central vacuole. Therefore, tonoplast transport characteristics can be highly influential in controlling the plant ionome. As a result, individual cell types of the same plant, each with unique transcriptomes and vacuolar proteomes, can display very different elemental profiles. Here we address the use of natural variation in Arabidopsis thaliana for identifying genes involved in elemental accumulation. We present a conceptual framework, exploiting publicly available leaf ionomic and transcriptomic data across 31 Arabidopsis accessions, that promises to accelerate conventional forward genetics approaches for candidate gene discovery. Utilizing this framework, we identify numerous genes with documented roles in accumulation of calcium, magnesium and zinc and implicate additional candidate genes. Where appropriate, we discuss their role in cell-specific elemental accumulation. Currently, this framework could represent an alternate approach for identifying genes suitable for element biofortification of plants. Integration of additional cell-specific and whole-plant 'omics' datasets across Arabidopsis accessions under diverse environmental conditions should enable this concept to be developed into a scalable and robust tool for linking genotype and phenotype.
尽管特定元素在植物界中具有高度保守的作用,但植物的离子组在种内和种间都存在差异。元素的储存需要跨质膜的运输,通常在中央液泡内沉积。因此,液泡膜转运特性在控制植物离子组方面可能具有重要影响。结果,同一植物的不同细胞类型,每个细胞类型都具有独特的转录组和液泡蛋白质组,可以显示出非常不同的元素特征。在这里,我们利用拟南芥中的自然变异来鉴定参与元素积累的基因。我们提出了一个概念框架,利用 31 个拟南芥品系中公开可用的叶片离子组学和转录组学数据,有望加速传统的正向遗传学方法来发现候选基因。利用这个框架,我们鉴定了许多在钙、镁和锌积累中具有已知作用的基因,并暗示了其他候选基因。在适当的情况下,我们讨论了它们在细胞特异性元素积累中的作用。目前,这个框架可能代表了一种鉴定适合植物元素生物强化的基因的替代方法。在不同的环境条件下,整合更多的细胞特异性和全植物“组学”数据集,应该能够使这个概念发展成为一个可扩展和强大的工具,用于连接基因型和表型。