Linn Joshua, Ren Meiyan, Berkowitz Oliver, Ding Wona, van der Merwe Margaretha J, Whelan James, Jost Ricarda
Department of Animal, Plant, and Soil Sciences, Australian Research Council Centre of Excellence in Plant Energy Biology, School of Life Sciences, La Trobe University, Bundoora, Victoria, VIC 3083, Australia.
College of Science and Technology, Ningbo University, Ningbo, 315211 Zhejiang Province, People's Republic of China.
Plant Physiol. 2017 Jul;174(3):1969-1989. doi: 10.1104/pp.16.01698. Epub 2017 May 2.
Cellular specialization in abiotic stress responses is an important regulatory feature driving plant acclimation. Our in silico approach of iterative coexpression, interaction, and enrichment analyses predicted root cell-specific regulators of phosphate starvation response networks in Arabidopsis (). This included three uncharacterized genes termed Phosphate starvation-induced gene interacting Root Cell Enriched (, , and ). Root cell-specific enrichment of 12 candidates was confirmed in promoter-GFP lines. T-DNA insertion lines of 11 genes showed changes in phosphate status and growth responses to phosphate availability compared with the wild type. Some mutants (, , , and ) displayed strong biomass gain irrespective of phosphate supply, while others (, , , , and ) were able to sustain growth under low phosphate supply better than the wild type. Notably, root or shoot phosphate accumulation did not strictly correlate with organ growth. Mutant response patterns markedly differed from those of master regulators of phosphate homeostasis, () and (), demonstrating that negative growth responses in the latter can be overcome when cell-specific regulators are targeted. RNA sequencing analysis highlighted the transcriptomic plasticity in these mutants and revealed PHR1-dependent and -independent regulatory circuits with gene coexpression profiles that were highly correlated to the quantified physiological traits. The results demonstrate how in silico prediction of cell-specific, stress-responsive genes uncovers key regulators and how their manipulation can have positive impacts on plant growth under abiotic stress.
非生物胁迫响应中的细胞特化是驱动植物适应环境的重要调控特征。我们通过迭代共表达、相互作用和富集分析的计算机方法预测了拟南芥中磷饥饿响应网络的根细胞特异性调节因子()。这包括三个未表征的基因,称为磷饥饿诱导基因相互作用根细胞富集基因(、和)。在启动子-GFP系中证实了12个候选基因在根细胞中的特异性富集。与野生型相比,11个基因的T-DNA插入系在磷状态和对磷可用性的生长响应方面表现出变化。一些突变体(、、、和)无论磷供应如何都表现出强烈的生物量增加,而其他突变体(、、、和)在低磷供应下比野生型更能维持生长。值得注意的是,根或地上部的磷积累与器官生长并不严格相关。突变体的响应模式与磷稳态的主要调节因子()和()明显不同,这表明当靶向细胞特异性调节因子时,可以克服后者的负生长响应。RNA测序分析突出了这些突变体中的转录组可塑性,并揭示了与定量生理性状高度相关的基因共表达谱的依赖PHR1和不依赖PHR1的调控回路。结果表明,通过计算机预测细胞特异性、胁迫响应基因如何揭示关键调节因子,以及对它们的操纵如何对非生物胁迫下的植物生长产生积极影响。