数字农科院2.0

Complex genetic architecture underlying the plasticity of maize agronomic traits

文献类型： 外文期刊

作者： Jin, Minliang;Liu, Haijun;Liu, Xiangguo;Guo, Tingting;Guo, Jia;Yin, Yuejia;Ji, Yan;Li, Zhenxian;Zhang, Jinhong;Wang, Xiaqing;Qiao, Feng;Xiao, Yingjie;Zan, Yanjun;Yan, Jianbing

作者机构：

关键词： complex traits;phenotypic plasticity;QTL-by-environment interaction;crop improvement;Zea mays

期刊名称： PLANT COMMUNICATIONS

ISSN： 2590-3462

年卷期： 2023 年 4 卷 3 期

页码：

收录情况： SCIE（2023版） ; ; CSCD（2023-2024年度）

摘要： Phenotypic plasticity is the ability of a given genotype to produce multiple phenotypes in response to changing environmental conditions. Understanding the genetic basis of phenotypic plasticity and establishing a predictive model is highly relevant to future agriculture under a changing climate. Here we report findings on the genetic basis of phenotypic plasticity for 23 complex traits using a diverse maize population planted at five sites with distinct environmental conditions. We found that latitude -related environmental factors were the main drivers of across-site variation in flowering time traits but not in plant architecture or yield traits. For the 23 traits, we detected 109 quantitative trait loci (QTLs), 29 for mean values, 66 for plasticity, and 14 for both parameters, and 80% of the QTLs interacted with latitude. The effects of several QTLs changed in magnitude or sign, driving variation in phenotypic plasticity. We experimentally validated one plastic gene, ZmTPS14.1, whose effect was likely mediated by the compen-sation effect of ZmSPL6 from a downstream pathway. By integrating genetic diversity, environmental vari-ation, and their interaction into a joint model, we could provide site-specific predictions with increased accuracy by as much as 9.9%, 2.2%, and 2.6% for days to tassel, plant height, and ear weight, respectively. This study revealed a complex genetic architecture involving multiple alleles, pleiotropy, and genotype-by -environment interaction that underlies variation in the mean and plasticity of maize complex traits. It provides novel insights into the dynamic genetic architecture of agronomic traits in response to changing environments, paving a practical way toward precision agriculture.

分类号：

  • 相关文献

[1]Statistical method for mapping QTLs for complex traits based on two backcross populations. ZHU ZhiHong , HAYART Yousaf , YANG Jian , CAO LiYong , LOU XiangYang , XU HaiMing *. 2012

[2]Dissection Of Complicate Genetic Architecture A.nd Breeding Perspective Of C ottonseed Traits By Genome-Wide Association Study. Xia, Qiuju,Xiang, Haitao,Ma, Jun,Xu, Haiming,Du, Xiongming,Sun, Gaofei,Jia, Yinhua,Pan, Zhaoe,He, Shoupu,Quan, Zhiwu,Shi, Weijun,Jenkins, Johnie N.,Du, Xiongming,Sun, Junling,Zhu, Jun,Zhang, Gengyun,Xiao, Songhua,Pang, Baoyin,Liu, Jianguang,Lou, Xiangyang,Gong, Wenfang,Wang, Liru,Liu, Shouye. 2018

[3]Simultaneous improvement and genetic dissection of grain yield and its related traits in a backbone parent of hybrid rice (Oryza sativa L.) using selective introgression. Zhang, Hongjun,Wang, Hui,Qian, Yiliang,Shi, Yingyao,Zhu, Linghua,Gao, Yongming,Li, Zhikang,Qian, Yiliang,Shi, Yingyao,Xia, Jiafa,Li, Zefu,Ali, Jauhar.

[4]A new approach to dissecting complex traits by combining quantitative trait transcript (QTT) mapping and diallel cross analysis. Yang DaiGang;YE ChengYin,Ma XiongFeng,ZHU ZhiHong,ZHOU XiaoJian,WANG HaiFeng,MENG QingQin,PEI XiaoYu,YU ShuXun,ZHU Jun. 2012

[5]Galbase: a comprehensive repository for integrating chicken multi-omics data. Fu, Weiwei,Wang, Rui,Xu, Naiyi,Wang, Jinxin,Li, Ran,Asadollahpour Nanaei, Hojjat,Nie, Qinghua,Zhao, Xin,Han, Jianlin,Yang, Ning,Jiang, Yu. 2022

[6]Genome-wide analyses reveal the role of noncoding variation in complex traits during rice domestication. 郑晓明,,逄洪波,,刘莎,,王君瑞,,乔卫华,,杨庆文. 2019

[7]Editorial: Multi-omics strategies to analyze complex agronomic traits in plants. Lin Chen,Guo Fei Tan. 2023

[8]Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of 232 complex traits in pigs. Zhiting Xu,Qing Lin,Xiaodian Cai,Zhanming Zhong,Jinyan Teng,Bingjie Li,Haonan Zeng,Yahui Gao,Zexi Cai,Xiaoqing Wang,Liangyu Shi,Xue Wang,Yi Wang,Zipeng Zhang,Yu Lin,Shuli Liu,Hongwei Yin,Zhonghao Bai,Chen Wei,Jun Zhou,Wenjing Zhang,Xiaoke Zhang,Shaolei Shi,Jun Wu,Shuqi Diao,Yuqiang Liu,Xiangchun Pan,Xueyan Feng,Ruiqi Liu,Zhanqin Su,Chengjie Chang,Qianghui Zhu,Yuwei Wu,Zhongyin Zhou,Lijing Bai,Kui Li,Qishan Wang,Yuchun Pan,Zhong Xu,Xianwen Peng,Shuqi Mei,Delin Mo,Xiaohong Liu,Hao Zhang,Xiaolong Yuan,Yang Liu,George E. Liu,Guosheng Su,Goutam Sahana,Mogens Sandø Lund,Li Ma,Ruidong Xiang,Xia Shen,Pinghua Li,Ruihua Huang,Maria Ballester,Daniel Crespo-Piazuelo,Marcel Amills,Alex Clop,Peter Karlskov-Mortensen,Merete Fredholm,Guoqing Tang,Mingzhou Li,Xuewei Li,Xiangdong Ding,Jiaqi Li,Yaosheng Chen,Qin Zhang,Yunxiang Zhao,Fuping Zhao,Lingzhao Fang,Zhe Zhang. 2025

[9]Multi-dimensional annotation of porcine variants using genomic and epigenomic features in pigs. Hongwei Yin,Liu Yang,Qianyi Zhao,Wenye Yao,Jinyan Teng,Yahui Gao,Zhiting Xu,Qing Lin,Shuqi Diao,Xiaohong Liu,Fuping Zhao,Zhongyin Zhou,Qishan Wang,Jiaqi Li,Zhe Zhang,Huaijun Zhou,Martien A.M. Groenen,Ole Madsen,Lijing Bai,Dailu Guan,Lingzhao Fang,Kui Li. 2025

[10]Trade-offs and evolution of thermal adaptation in the Irish potato famine pathogen Phytophthora infestans. Yang, Li-Na,Zhu, Wen,Wu, E-Jiao,Yang, Ce,Shang, Li-Ping,Thrall, Peter H.,Burdon, Jeremy J.,Jin, Li-Ping,Zhan, Jiasui.

[11]A dynamic framework for quantifying the genetic architecture of phenotypic plasticity. Wang, Zhong,Lv, Yafei,Xu, Fang,Zhou, Tao,Li, Xin,Feng, Sisi,Wu, Rongling,Pang, Xiaoming,Li, Jiahan,Li, Zhikang,Wu, Rongling.

[12]Long-Term Overgrazing-Induced Memory Decreases Photosynthesis O.f Clonal Offspring In A Perennial Grassland Plant. Ren, WB, Hu, NN, Hou, XY, Zhang, JZ, Guo, HQ, Liu, ZY, Kong, LQ, Wu, ZN, Wang, H, Li, XL. 2017

[13]Sandbur Drought Tolerance Reflects Phenotypic Plasticity Based on the Accumulation of Sugars, Lipids, and Flavonoid Intermediates and the Scavenging of Reactive Oxygen Species in the Root. Zhiyuan Yang,Chao Bai,Peng Wang,Wei Dong Fu,Le Wang,Zhen Song,Xin Xi,Hanwen Wu,Guo-Liang Zhang*,Jia-He Wu. 2021

[14]Nutrient Characteristics In Relation To P.lant Size Of A P erennial Grass Under Grazing Exclusion In Degraded Grassland. Liu, ZY, Baoyin, TGT, Duan, JJ, Yang, GF, Sun, J, Li, XL. 2018

[15]Sublethal dose of warfarin induction promotes the accumulation of warfarin resistance in susceptible Norway rats. Xiaohui Ma,Yan Chen,Yaqi Ying,Yuanzhao Geng,Dawei Wang,Ning Li,Xiao-Hui Liu,Ying Song. 2021

[16]Sandbur drought tolerance reflects phenotypic plasticity based on the accumulation of sugars, lipids, and flavonoid intermediates and the scavenging of reactive oxygen species in the root. Zhiyuan Yang,Chao Bai,Peng Wang,Weidong Fu,Le Wang,Zhen Song,Xin Xi,Hanwen Wu,Guoliang Zhang,Jiahe Wu. 2022

[17]Shoot–Root Interplay Mediates Defoliation-Induced Plant Legacy Effect. Xiliang Li,Zhen Zhang,Fenghui Guo,Junjie Duan,Juan Sun. 2021

[18]Autophagy Is Required to Sustain Increased Intestinal Cell Proliferation during Phenotypic Plasticity Changes in Honey Bee (Apis mellifera). Yueqin Guo,Ruoyang Hu,Naikang Li,Nannan Li,Jiangli Wu,Huimin Yu,Jing Tan,Zhouhua Li,Shufa Xu. 2023

[19]Historic grazing enhances root-foraging plasticity rather than nitrogen absorbability in clonal offspring of Leymus chinensis. Xiliang Li,Ningning Hu,Jingjing Yin,Weibo Ren,Ellen Fry. 2021

[20]A plasticity-aware machine learning framework for genomic prediction and resource-efficient wheat breeding under multi-environment conditions. Lei Li,Cong Zhao,Huihui Li,Xi Tian,Jindong Liu,Duoxia Wang,Keyi Wang,Shuaipeng Fei,Guoliang Wan,Jianqi Zeng,Yachao Dong,Jixin Li,Yidan Jia,Yong Zhang,Xianchun Xia,Xin Ma,Yong He,Yonggui Xiao. 2026

作者其他论文 更多>>