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] Molecular characterization of tall fescue germplasm using SNP markers: population structure, linkage disequilibrium, and association mapping of yield-related traits
    Shahabzadeh, Zeynab
    Darvishzadeh, Reza
    Mohammadi, Reza
    Jafari, Morad
    Alipour, Hadi
    PLANT BIOTECHNOLOGY REPORTS, 2023, 17 (02) : 171 - 190
  • [42] Genome-Wide Linkage Mapping of QTL for Yield Components, Plant Height and Yield-Related Physiological Traits in the Chinese Wheat Cross Zhou 8425B/Chinese Spring
    Gao, Fengmei
    Wen, Weie
    Liu, Jindong
    Rasheed, Awais
    Yin, Guihong
    Xia, Xianchun
    Wu, Xiaoxia
    He, Zhonghu
    FRONTIERS IN PLANT SCIENCE, 2015, 6
  • [43] Quantitative Trait Loci Mapping for Flowering and Yield-related Traits with a Recombinant Inbred Line Population of Maize (Zea mays L.)
    Jin, Sa Kyu
    Kyong-Cheul, Park
    Vasudeo, Ramekar Rahul
    Yeol, Park Jong
    Kyong, Lee Ju
    RESEARCH JOURNAL OF BIOTECHNOLOGY, 2016, 11 (05): : 102 - 112
  • [44] Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments
    Chidzanga, Charity
    Mullan, Daniel
    Roy, Stuart
    Baumann, Ute
    Garcia, Melissa
    THEORETICAL AND APPLIED GENETICS, 2022, 135 (12) : 4437 - 4456
  • [45] High-density genetic linkage mapping reveals low stability of QTLs across environments for economic traits in Eucalyptus
    Zhu, Xianliang
    Weng, Qijie
    Bush, David
    Zhou, Changpin
    Zhao, Haiwen
    Wang, Ping
    Li, Fagen
    FRONTIERS IN PLANT SCIENCE, 2023, 13
  • [46] Deciphering the genetic basis of root morphology, nutrient uptake, yield, and yield-related traits in rice under dry direct-seeded cultivation systems
    Sandhu, Nitika
    Subedi, Sushi Raj
    Singh, Vikas Kumar
    Sinha, Pallavi
    Kumar, Santosh
    Singh, S. P.
    Ghimire, Surya Kant
    Pandey, Madhav
    Yadaw, Ram Baran
    Varshney, Rajeev K.
    Kumar, Arvind
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [47] Quantitative trait loci mapping of yield and related traits using a high-density genetic map of maize
    Lin Chen
    Chunhui Li
    Yongxiang Li
    Yanchun Song
    Dengfeng Zhang
    Tianyu Wang
    Yu Li
    Yunsu Shi
    Molecular Breeding, 2016, 36
  • [48] Linkage Mapping Reveals QTL for Flowering Time-Related Traits under Multiple Abiotic Stress Conditions in Maize
    Leng, Pengfei
    Khan, Siffat Ullah
    Zhang, Dengfeng
    Zhou, Guyi
    Zhang, Xuhuan
    Zheng, Yanxiao
    Wang, Tianyu
    Zhao, Jun
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (15)
  • [49] Dissection of the Genetic Basis of Yield-Related Traits in the Chinese Peanut Mini-Core Collection Through Genome-Wide Association Studies
    Zhou, Xiaojing
    Guo, Jianbin
    Pandey, Manish K.
    Varshney, Rajeev K.
    Huang, Li
    Luo, Huaiyong
    Liu, Nian
    Chen, Weigang
    Lei, Yong
    Liao, Boshou
    Jiang, Huifang
    FRONTIERS IN PLANT SCIENCE, 2021, 12
  • [50] Quantitative trait loci mapping for yield components and kernel-related traits in multiple connected RIL populations in maize
    Li, Chunhui
    Li, Yongxiang
    Sun, Baocheng
    Peng, Bo
    Liu, Cheng
    Liu, Zhizhai
    Yang, Zhaozhao
    Li, Qingchao
    Tan, Weiwei
    Zhang, Yan
    Wang, Di
    Shi, Yunsu
    Song, Yanchun
    Wang, Tianyu
    Li, Yu
    EUPHYTICA, 2013, 193 (03) : 303 - 316