文献类型： 外文期刊

作者： Zhang, Zhen ¹ ; Qiu, Xiaolong ¹ ; Guo, Guanghui ¹ ; Zhu, Xiaojing ¹ ; Shi, Jiawei ² ; Zhang, Ning ¹ ; Ding, Shenglong ¹ ; Tang, Nazhu ¹ ; Qu, Yunfeng ¹ ; Sun, Zhe ¹ ; Li, Huilin ¹ ; Ma, Feifei ¹ ; Xie, Shangyuan ² ; Lv, Qian ¹ ; Fu, Liming ¹ ; Hu, Ge ⁴ ; Cao, Ying ¹ ; Ge, Haowei ¹ ; Li, Hao ¹ ; Huang, Jinling ¹ ; Xu, Weigang ⁴ ; Yang, Wanneng ² ; Zhou, Yun ¹ ; Song, Chun-Peng ¹ ;

作者机构： 1.Henan Univ, Coll Agr, Sch Life Sci, State Key Lab Crop Stress Adaptat & Improvement, Kaifeng 475004, Peoples R China

2.Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China

3.Huazhong Agr Univ, Natl Ctr Plant Gene Res Wuhan, Hubei Hongshan Lab, Wuhan 430070, Peoples R China

4.Henan Acad Agr Sci, Inst Crops Mol Breeding, Natl Engn Lab Wheat, Shennong Lab, Zhengzhou 450002, Peoples R China

5.East Carolina Univ, Dept Biol, Greenville, NC 27858 USA

6.Henan Univ, Acad Adv Interdisciplinary Studies, Kaifeng 475004, Peoples R China

期刊名称：PLANT PHYSIOLOGY （ 影响因子：6.9； 五年影响因子：7.7 ）

ISSN： 0032-0889

年卷期： 2025 年 198 卷 1 期

页码：

收录情况： SCI

摘要： The root system architecture (RSA) determines plant growth and yield. The characterization of optimal RSA and discovery of genetic loci or candidate genes that control root traits are therefore important research goals. However, the hidden nature of the root system makes it difficult to perform nondestructive, rapid analyses of RSA. In this study, we developed an automated, nondestructive, high-throughput root phenotyping platform (Root-HTP) and a corresponding data processing pipeline for efficient, large-scale characterization of wheat (Triticum aestivum L.) RSA. This system is capable of tracking root growth dynamics and RSA variation across all wheat developmental stages. In situ phenotyping using Root-HTP extracted 47 RSA traits, including 33 novel traits in wheat and 23 novel traits in other crops. We used root trait data from the phenotyping system and yield trait data to conduct a genome-wide association study (GWAS) of 155 wheat accessions, which identified 2,650 SNPs and 233 quantitative trait loci (QTLs) associated with aspects of root architecture. The candidate gene TaMYB93 was detected in a QTL for root tortuosity, and EMS mutants confirmed its effect on RSA in wheat. We explored the relationship between root- and yield-related traits and identified 20 root-related QTLs that were also associated with yield traits. Furthermore, we have built a predictive model for wheat yield based on 18 RSA traits and propose a parsimonious RSA ideotype associated with high yields. The data generated from this study provide insight into the genetic architecture of wheat RSA and support for RSA ideotype-based wheat breeding and yield prediction.