LG1 promotes preligule band formation through directly activating ZmPIN1 genes in maize

文献类型： 外文期刊

第一作者： Zhong, Zhuojun

作者： Zhong, Zhuojun;Yao, Minhao;Cao, Yingying;Kong, Dexin;Shen, Rongxin;Wang, Haiyang;Liu, Qing;Wang, Baobao;Wang, Yanli

作者机构：

关键词： Maize (Zea mays L.); LG1; Leaf angle (LA); Preligule band; Auxin transport

期刊名称：JOURNAL OF GENETICS AND GENOMICS （ 影响因子：7.1； 五年影响因子：6.4 ）

ISSN： 1673-8527

年卷期： 2025 年 52 卷 3 期

页码：

收录情况： SCI

摘要： Increasing plant density is an effective strategy for enhancing crop yield per unit land area. A key architectural trait for crops adapting to high planting density is a smaller leaf angle (LA). Previous studies have demonstrated that LG1, a SQUAMOSA BINDING PROTEIN (SBP) transcription factor, plays a critical role in LA establishment. However, the molecular mechanisms underlying the regulation of LG1 on LA formation remain largely unclear. In this study, we conduct comparative RNA-seq analysis of the preligule band (PLB) region of wild type and lg1 mutant leaves. Gene Ontology (GO) term enrichment analysis reveals enrichment of phytohormone pathways and transcription factors, including three auxin transporter genes ZmPIN1a, ZmPIN1b, and ZmPIN1c. Further molecular experiments demonstrate that LG1 can directly bind to the promoter region of these auxin transporter genes and activate their transcription. We also show that double and triple mutants of these ZmPINs genes exhibit varying degrees of auricle size reduction and thus decreased LA. On the contrary, overexpression of ZmPIN1a causes larger auricle and LA. Taken together, our findings establish a functional link between LG1 and auxin transport in regulating PLB formation and provide valuable targets for genetic improvement of LA for breeding high-density tolerant maize cultivars. Copyright (c) 2025, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Limited and Science Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序