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年龄依赖分析揭示了生长素介导的水稻侧根发育的逐步控制。

Age-dependent analysis dissects the stepwise control of auxin-mediated lateral root development in rice.

机构信息

Bioscience and Biotechnology Center, Nagoya University, Nagoya 464-8601, Japan.

Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.

出版信息

Plant Physiol. 2024 Jan 31;194(2):819-831. doi: 10.1093/plphys/kiad548.

Abstract

As root elongation rates are different among each individual root, the distance from the root apices does not always reflect the age of root cells. Thus, methods for correcting variations in elongation rates are needed to accurately evaluate the root developmental process. Here, we show that modeling-based age-dependent analysis is effective for dissecting stepwise lateral root (LR) development in rice (Oryza sativa). First, we measured the increases in LR and LR primordium (LRP) numbers, diameters, and lengths in wild type and an auxin-signaling-defective mutant, which has a faster main (crown) root elongation rate caused by the mutation in the gene encoding AUXIN/INDOLE-3-ACETIC ACID protein 13 (IAA13). The longitudinal patterns of these parameters were fitted by the appropriate models and the age-dependent patterns were identified using the root elongation rates. As a result, we found that LR and LRP numbers and lengths were reduced in iaa13. We also found that the duration of the increases in LR and LRP diameters were prolonged in iaa13. Subsequent age-dependent comparisons with gene expression patterns suggest that AUXIN RESPONSE FACTOR11 (ARF11), the homolog of MONOPTEROS (MP)/ARF5 in Arabidopsis (Arabidopsis thaliana), is involved in the initiation and growth of LR(P). Indeed, the arf11 mutant showed a reduction of LR and LRP numbers and lengths. Our results also suggest that PINOID-dependent rootward-to-shootward shift of auxin flux contributes to the increase in LR and LRP diameters. Together, we propose that modeling-based age-dependent analysis is useful for root developmental studies by enabling accurate evaluation of root traits' expression.

摘要

由于每个根的伸长率不同,根尖端的距离并不总是反映根细胞的年龄。因此,需要校正伸长率变化的方法,以准确评估根的发育过程。在这里,我们展示了基于模型的年龄相关分析在解析水稻(Oryza sativa)侧根(LR)发育的阶段性方面是有效的。首先,我们测量了野生型和生长素信号缺陷突变体中 LR 和 LR 原基(LRP)数量、直径和长度的增加,该突变体由于编码生长素/吲哚-3-乙酸蛋白 13(IAA13)的基因突变而导致主(冠)根伸长率更快。这些参数的纵向模式通过适当的模型进行拟合,并使用根伸长率确定年龄相关的模式。结果,我们发现 iaa13 中 LR 和 LRP 的数量和长度减少。我们还发现,iaa13 中 LR 和 LRP 直径增加的持续时间延长。随后与基因表达模式的年龄相关比较表明,生长素反应因子 11(ARF11)是拟南芥(Arabidopsis thaliana)中 MONOPTEROS(MP)/ARF5 的同源物,参与 LR(P)的起始和生长。事实上,arf11 突变体表现出 LR 和 LRP 数量和长度的减少。我们的结果还表明,PIN 依赖性生长素流从根到芽的转移有助于 LR 和 LRP 直径的增加。总之,我们提出基于模型的年龄相关分析通过准确评估根特征的表达,对根发育研究是有用的。

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