Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size

被引:6
|
作者
Ma, Juan [1 ]
Wang, Lifeng [1 ]
Cao, Yanyong [1 ]
Wang, Hao [1 ]
Li, Huiyong [1 ]
机构
[1] Henan Acad Agr Sci, Inst Cereal Crops, Zhengzhou, Peoples R China
来源
关键词
kernel size; kernel development; genome-wide association study; transcriptome; differentially expressed genes; GENOME-WIDE ASSOCIATION; QUANTITATIVE TRAIT LOCI; SEED SIZE; MATERNAL CONTROL; MODEL APPROACH; SINGLE-LOCUS; MAJOR QTL; ENCODES; DISSECTION; WEIGHT;
D O I
10.3389/fpls.2021.632788
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Kernel length, kernel width, and kernel thickness are important traits affecting grain yield and product quality. Here, the genetic architecture of the three kernel size traits was dissected in an association panel of 309 maize inbred lines using four statistical methods. Forty-two significant single nucleotide polymorphisms (SNPs; p < 1.72E-05) and 70 genes for the three traits were identified under five environments. One and eight SNPs were co-detected in two environments and by at least two methods, respectively, and they explained 5.87-9.59% of the phenotypic variation. Comparing the transcriptomes of two inbred lines with contrasting seed size, three and eight genes identified in the association panel showed significantly differential expression between the two genotypes at 15 and 39 days after pollination, respectively. Ten and 17 genes identified by a genome-wide association study were significantly differentially expressed between the two development stages in the two genotypes. Combining environment-/method-stable SNPs and differential expression analysis, ribosomal protein L7, jasmonate-regulated gene 21, serine/threonine-protein kinase RUNKEL, AP2-EREBP-transcription factor 16, and Zm00001d035222 (cell wall protein IFF6-like) were important candidate genes for maize kernel size and development.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Genome-wide association analysis and QTL mapping reveal the genetic control of cadmium accumulation in maize leaf
    Xiongwei Zhao
    Longxin Luo
    Yanhua Cao
    Yajuan Liu
    Yuhua Li
    Wenmei Wu
    Yuzhou Lan
    Yiwei Jiang
    Shibin Gao
    Zhiming Zhang
    Yaou Shen
    Guangtang Pan
    Haijian Lin
    BMC Genomics, 19
  • [22] Genome-wide association analysis and QTL mapping reveal the genetic control of cadmium accumulation in maize leaf
    Zhao, Xiongwei
    Luo, Longxin
    Cao, Yanhua
    Liu, Yajuan
    Li, Yuhua
    Wu, Wenmei
    Lan, Yuzhou
    Jiang, Yiwei
    Gao, Shibin
    Zhang, Zhiming
    Shen, Yaou
    Pan, Guangtang
    Lin, Haijian
    BMC GENOMICS, 2018, 19
  • [23] Genetic architecture of kernel-related traits in sweet and waxy maize revealed by genome-wide association analysis
    Qu, Jingtao
    Yu, Diansi
    Gu, Wei
    Khalid, Muhammad Hayder Bin
    Kuang, Huiyun
    Dang, Dongdong
    Wang, Hui
    Prasanna, Boddupalli
    Zhang, Xuecai
    Zhang, Ao
    Zheng, Hongjian
    Guan, Yuan
    FRONTIERS IN GENETICS, 2024, 15
  • [24] Genetic architecture affecting maize agronomic traits identified by variance heterogeneity association mapping
    Zhang, Xiangbo
    Qi, Yongwen
    GENOMICS, 2021, 113 (04) : 1681 - 1688
  • [25] Genetic dissection of maize plant architecture using a novel nested association mapping population
    Zhao, Sheng
    Li, Xueying
    Song, Junfeng
    Li, Huimin
    Zhao, Xiaodi
    Zhang, Peng
    Li, Zhimin
    Tian, Zhiqiang
    Lv, Meng
    Deng, Ce
    Ai, Tangshun
    Chen, Gengshen
    Zhang, Hui
    Hu, Jianlin
    Xu, Zhijun
    Chen, Jiafa
    Ding, Junqiang
    Song, Weibin
    Chang, Yuxiao
    PLANT GENOME, 2022, 15 (01):
  • [26] Combined GWAS and QTL analysis for dissecting the genetic architecture of kernel test weight in maize
    Xiaoxiang Zhang
    Zhongrong Guan
    Lei Wang
    Jun Fu
    Yinchao Zhang
    Zhaoling Li
    Langlang Ma
    Peng Liu
    Yanling Zhang
    Min Liu
    Peng Li
    Chaoying Zou
    Yongcong He
    Haijian Lin
    Guangsheng Yuan
    Shibin Gao
    Guangtang Pan
    Yaou Shen
    Molecular Genetics and Genomics, 2020, 295 : 409 - 420
  • [27] Combined GWAS and QTL analysis for dissecting the genetic architecture of kernel test weight in maize
    Zhang, Xiaoxiang
    Guan, Zhongrong
    Wang, Lei
    Fu, Jun
    Zhang, Yinchao
    Li, Zhaoling
    Ma, Langlang
    Liu, Peng
    Zhang, Yanling
    Liu, Min
    Li, Peng
    Zou, Chaoying
    He, Yongcong
    Lin, Haijian
    Yuan, Guangsheng
    Gao, Shibin
    Pan, Guangtang
    Shen, Yaou
    MOLECULAR GENETICS AND GENOMICS, 2020, 295 (02) : 409 - 420
  • [28] QTL analysis of proteome and transcriptome variations for dissecting the genetic architecture of complex traits in maize
    L. Consoli
    A. Lefèvre
    M. Zivy
    D. de Vienne
    C. Damerval
    Plant Molecular Biology, 2002, 48 : 575 - 581
  • [29] QTL analysis of proteome and transcriptome variations for dissecting the genetic architecture of complex traits in maize
    Consoli, L
    Lefèvre, A
    Zivy, M
    de Vienne, D
    Damerval, C
    PLANT MOLECULAR BIOLOGY, 2002, 48 (05) : 575 - 581
  • [30] A Systemic Investigation of Genetic Architecture and Gene Resources Controlling Kernel Size-Related Traits in Maize
    Wang, Cheng
    Li, Huangai
    Long, Yan
    Dong, Zhenying
    Wang, Jianhui
    Liu, Chang
    Wei, Xun
    Wan, Xiangyuan
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (02)