A combination of linkage mapping and GWAS brings new elements on the genetic basis of yield-related traits in maize across multiple environments

被引:49
|
作者
Zhang, Xiaoxiang [1 ]
Guan, Zhongrong [3 ]
Li, Zhaoling [1 ]
Liu, Peng [1 ]
Ma, Langlang [1 ]
Zhang, Yinchao [1 ]
Pan, Lang [1 ]
He, Shijiang [1 ]
Zhang, Yanling [1 ]
Li, Peng [1 ]
Ge, Fei [1 ]
Zou, Chaoying [1 ]
He, Yongcong [1 ]
Gao, Shibin [1 ,2 ]
Pan, Guangtang [1 ]
Shen, Yaou [1 ,2 ]
机构
[1] Sichuan Agr Univ, Maize Res Inst, Key Lab Biol & Genet Improvement Maize Southwest, Chengdu 611130, Peoples R China
[2] State Key Lab Crop Gene Explorat & Utilizat South, Chengdu 611130, Peoples R China
[3] Chongqing Yudongnan Acad Agr Sci, Chongqing 408000, Peoples R China
关键词
GENOME-WIDE ASSOCIATION; KERNEL ROW NUMBER; GRAIN-YIELD; TRANSCRIPTION FACTOR; QUANTITATIVE TRAITS; AGRONOMIC TRAITS; SEED DEVELOPMENT; VITIS-VINIFERA; ARCHITECTURE; QTL;
D O I
10.1007/s00122-020-03639-4
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Key message Using GWAS and QTL mapping identified 100 QTL and 138 SNPs, which control yield-related traits in maize. The candidate geneGRMZM2G098557was further validated to regulate ear row number by using a segregation population. Understanding the genetic basis of yield-related traits contributes to the improvement of grain yield in maize. This study used an inter-mated B73 x Mo17 (IBM) Syn10 doubled-haploid (DH) population and an association panel to identify the genetic loci responsible for nine yield-related traits in maize. Using quantitative trait loci (QTL) mapping, 100 QTL influencing these traits were detected across different environments in the IBM Syn10 DH population, with 25 co-detected in multiple environments. Using a genome-wide association study (GWAS), 138 single-nucleotide polymorphisms (SNPs) were identified as correlated with these traits (P < 2.04E-06) in the association panel. Twenty-one pleiotropic QTL/SNPs were identified to control different traits in both populations. A combination of QTL mapping and GWAS uncovered eight significant SNPs (PZE-101097575, PZE-103169263, ZM011204-0763, PZE-104044017, PZE-104123110, SYN8062, PZE-108060911, and PZE-102043341) that were co-located within seven QTL confidence intervals. According to the eight co-localized SNPs by the two populations, 52 candidate genes were identified, among which the ear row number (ERN)-associated SNP SYN8062 was closely linked to SBP-transcription factor 7 (GRMZM2G098557). Several SBP-transcription factors were previously demonstrated to modulate maize ERN. We then validated the phenotypic effects of SYN8062 in the IBM Syn10 DH population, indicating that the ERN of the lines with the A-allele in SYN8062 was significantly (P < 0.05) larger than that of the lines with the G-allele in SYN8062 in each environment. These findings provide valuable information for understanding the genetic mechanisms of maize grain yield formation and for improving molecular marker-assisted selection for the high-yield breeding of maize.
引用
收藏
页码:2881 / 2895
页数:15
相关论文
共 50 条
  • [41] Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations
    Fa Cui
    Chunhua Zhao
    Anming Ding
    Jun Li
    Lin Wang
    Xingfeng Li
    Yinguang Bao
    Junming Li
    Honggang Wang
    Theoretical and Applied Genetics, 2014, 127 : 659 - 675
  • [42] Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations
    Cui, Fa
    Zhao, Chunhua
    Ding, Anming
    Li, Jun
    Wang, Lin
    Li, Xingfeng
    Bao, Yinguang
    Li, Junming
    Wang, Honggang
    THEORETICAL AND APPLIED GENETICS, 2014, 127 (03) : 659 - 675
  • [43] Genetic dissection of yield-related traits and mid-parent heterosis for those traits in maize (Zea mays L.)
    Yi, Qiang
    Liu, Yinghong
    Hou, Xianbin
    Zhang, Xiangge
    Li, Hui
    Zhang, Junjie
    Liu, Hanmei
    Hu, Yufeng
    Yu, Guowu
    Li, Yangping
    Wang, Yongbin
    Huang, Yubi
    BMC PLANT BIOLOGY, 2019, 19 (01)
  • [44] Combined linkage mapping and association analysis uncovers candidate genes for 25 leaf-related traits across three environments in maize
    Wei Dai
    Hong Yu
    Kai Liu
    Yujuan Chengxu
    Jiaquan Yan
    Chen Zhang
    Na Xi
    Hao Liu
    Chaoyang Xiangchen
    Chaoying Zou
    Minyan Zhang
    Shibin Gao
    Guangtang Pan
    Langlang Ma
    Yaou Shen
    Theoretical and Applied Genetics, 2023, 136
  • [45] Combined linkage mapping and association analysis uncovers candidate genes for 25 leaf-related traits across three environments in maize
    Dai, Wei
    Yu, Hong
    Liu, Kai
    Chengxu, Yujuan
    Yan, Jiaquan
    Zhang, Chen
    Xi, Na
    Liu, Hao
    Xiangchen, Chaoyang
    Zou, Chaoying
    Zhang, Minyan
    Gao, Shibin
    Pan, Guangtang
    Ma, Langlang
    Shen, Yaou
    THEORETICAL AND APPLIED GENETICS, 2023, 136 (01) : 1 - 14
  • [46] The Use of DArTseq Technology to Identify New SNP and SilicoDArT Markers Related to the Yield-Related Traits Components in Maize
    Tomkowiak, Agnieszka
    Nowak, Bartosz
    Sobiech, Aleksandra
    Bocianowski, Jan
    Wolko, Lukasz
    Spychala, Julia
    GENES, 2022, 13 (05)
  • [47] Genetic dissection of yield-related traits and mid-parent heterosis for those traits in maize (Zea mays L.)
    Qiang Yi
    Yinghong Liu
    Xianbin Hou
    Xiangge Zhang
    Hui Li
    Junjie Zhang
    Hanmei Liu
    Yufeng Hu
    Guowu Yu
    Yangping Li
    Yongbin Wang
    Yubi Huang
    BMC Plant Biology, 19
  • [48] Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Zea mays L.)
    Sethi, Mehak
    Saini, Dinesh Kumar
    Devi, Veena
    Kaur, Charanjeet
    Singh, Mohini Prabha
    Singh, Jasneet
    Pruthi, Gomsie
    Kaur, Amanpreet
    Singh, Alla
    Chaudhary, Dharam Paul
    FRONTIERS IN GENETICS, 2023, 14
  • [49] Genetic dissection of yield-related traits via genome-wide association analysis across multiple environments in wild soybean (Glycine soja Sieb. and Zucc.)
    Hu, Dezhou
    Zhang, Huairen
    Du, Qing
    Hu, Zhenbin
    Yang, Zhongyi
    Li, Xiao
    Wang, Jiao
    Huang, Fang
    Yu, Deyue
    Wang, Hui
    Kan, Guizhen
    PLANTA, 2020, 251 (02)
  • [50] Decoding the genetic basis of ear-related traits in maize (Zea mays L.) using linkage mapping, association mapping and genomic prediction
    Chang, Liguo
    He, Kunhui
    Liu, Jianchao
    PLANT BREEDING, 2024, 143 (06) : 840 - 856