Identification of ZmNF-YC2 and its regulatory network for maize flowering time

Author:

Su Huihui1,Chen Zhihui1,Dong Yahui1,Ku Lixia1ORCID,Abou-Elwafa Salah Fatouh2ORCID,Ren Zhenzhen1,Cao Yingying1,Dou Dandan1,Liu Zhixue1,Liu Huafeng1,Tian Lei1,Zhang Dongling1,Zeng Haixia1,Han Shengbo1,Zhu Fangfang1,Du Chunguang3,Chen Yanhui1ORCID

Affiliation:

1. Synergetic Innovation Center of Henan Grain Crops and National Key, Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, No. 15 Longzihu University Park, Zhengdong New Area, Zhengzhou, Henan, 450046, China

2. Agronomy Department, Faculty of Agriculture, Assiut University, Assiut, Egypt

3. Department of Biology, Montclair State University, Montclair, NJ 07043, USA

Abstract

Abstract Flowering time is an important agronomic trait that determines the distribution and adaptation of plants. The accurate prediction of flowering time in elite germplasm is critical for maize breeding. However, the molecular mechanisms underlying the photoperiod response remain elusive in maize. Here we cloned the flowering time-controlling gene, ZmNF-YC2, by map-based cloning and confirmed that ZmNF-YC2 is the nuclear transcription factor Y subunit C-2 protein and a positive regulator of flowering time in maize under long-day conditions. Our results show that ZmNF-YC2 promotes the expression of ZmNF-YA3. ZmNF-YA3 negatively regulates the transcription of ZmAP2. ZmAP2 suppresses the expression of ZMM4 to delay flowering time. We then developed a gene regulatory model of flowering time in maize using ZmNF-YC2, ZmNF-YA3, ZmAP2, ZMM4, and other key genes. The cascading regulation by ZmNF-YC2 of maize flowering time has not been reported in other species.

Funder

National Key Research and Development Program of China

Central Plains Science and Technology Innovation Leading Talents

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Physiology

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3