A Core Regulatory Pathway Controlling Rice Tiller Angle Mediated by the <i>LAZY1</i>-Dependent Asymmetric Distribution of Auxin

Ning Zhang(Chinese Academy of Sciences), Hong Yu(Chinese Academy of Sciences), Hao Yu(Chinese Academy of Sciences), Yueyue Cai(Chinese Academy of Sciences), Linzhou Huang(Chinese Academy of Sciences), Xu Cao(Chinese Academy of Sciences), Guosheng Xiong(Agricultural Genomics Institute at Shenzhen), Xiangbing Meng(Chinese Academy of Sciences), Jiyao Wang(Chinese Academy of Sciences), Haofeng Chen(Chinese Academy of Sciences), Guifu Liu(Chinese Academy of Sciences), Yanhui Jing(Chinese Academy of Sciences), Yundong Yuan(Chinese Academy of Sciences), Yan Liang(Chinese Academy of Sciences), Shujia Li(Chinese Academy of Sciences), Steven M. Smith(University of Tasmania), Jiayang Li(Chinese Academy of Sciences), Yonghong Wang(Chinese Academy of Sciences)
The Plant Cell
June 18, 2018
Cited by 208Open Access
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Abstract

Tiller angle in cereals is a key shoot architecture trait that strongly influences grain yield. Studies in rice (Oryza sativa) have implicated shoot gravitropism in the regulation of tiller angle. However, the functional link between shoot gravitropism and tiller angle is unknown. Here, we conducted a large-scale transcriptome analysis of rice shoots in response to gravistimulation and identified two new nodes of a shoot gravitropism regulatory gene network that also controls rice tiller angle. We demonstrate that HEAT STRESS TRANSCRIPTION FACTOR 2D (HSFA2D) is an upstream positive regulator of the LAZY1-mediated asymmetric auxin distribution pathway. We also show that two functionally redundant transcription factor genes, WUSCHEL RELATED HOMEOBOX6 (WOX6) and WOX11, are expressed asymmetrically in response to auxin to connect gravitropism responses with the control of rice tiller angle. These findings define upstream and downstream genetic components that link shoot gravitropism, asymmetric auxin distribution, and rice tiller angle. The results highlight the power of the high-temporal-resolution RNA-seq data set and its use to explore further genetic components controlling tiller angle. Collectively, these approaches will identify genes to improve grain yields by facilitating the optimization of plant architecture.


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