Genome-wide association study (GWAS) reveals the genetic architecture of four husk traits in maize

被引:59
|
作者
Cui, Zhenhai [1 ,2 ]
Luo, Jinhong [1 ]
Qi, Chuangye [1 ]
Ruan, Yanye [2 ]
Li, Jing [1 ]
Zhang, Ao [1 ,3 ]
Yang, Xiaohong [1 ]
He, Yan [1 ]
机构
[1] China Agr Univ, Beijing Key Lab Crop Genet Improvement, Natl Maize Improvement Ctr China, Beijing 100094, Peoples R China
[2] Shenyang Agr Univ, Coll Biol Sci & Technol, Shenyang 110866, Peoples R China
[3] Shenyang Agr Univ, Coll Agron, Shenyang 110866, Peoples R China
来源
BMC GENOMICS | 2016年 / 17卷
关键词
Maize (Zea mays); Husk; Genetic architecture; GWAS; SNPs; TRANSPOSABLE ELEMENT; REGULATORY NETWORK; DROUGHT TOLERANCE; LEAF DEVELOPMENT; CANDIDATE GENES; FLOWERING-TIME; GRAIN MOISTURE; COMPLEX TRAITS; CORN HUSK; PLANT;
D O I
10.1186/s12864-016-3229-6
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Maize (Zea mays) husk referring to the leafy outer enclosing the ear, plays an important role in grain production by directly contributing photosynthate and protecting ear from pathogen infection. Although the physiological functions related to husk have been extensively studied, little is known about its morphological variation and genetic basis in natural population. Results: Here we utilized a maize association panel including 508 inbred lines with tropical, subtropical and temperate backgrounds to decipher the genetic architecture attributed to four husk traits, i.e. number of layers, length, width and thickness. Evaluating the phenotypic diversity at two different environments showed that four traits exhibit broadly natural variations and moderate levels of heritability with 0.64, 0.74, 0.49 and 0.75 for number, length, width and thickness, respectively. Diversity analysis indicated that different traits have dissimilar responses to subpopulation effects. A series of significantly positive or negative correlations between husk phenotypes and other agronomic traits were identified, indicating that husk growth is coordinated with other developmental processes. Combining husk traits with about half of a million of single nucleotide polymorphisms (SNPs) via genome-wide association study revealed a total of 9 variants significantly associated with traits at P < 1.04 x 10(-5), which are implicated in multiple functional categories, such as cellular trafficking, transcriptional regulation and metabolism. Conclusions: These results provide instrumental information for understanding the genetic basis of husk development, and further studies on identified candidate genes facilitate to illuminate molecular pathways regulating maize husk growth.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] 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
  • [22] Genome-wide association study reveals genetic loci and candidate genes for meat quality traits in a four-way crossbred pig population
    Wang, Huiyu
    Wang, Xiaoyi
    Li, Mingli
    Sun, Hao
    Chen, Qiang
    Yan, Dawei
    Dong, Xinxing
    Pan, Yuchun
    Lu, Shaoxiong
    FRONTIERS IN GENETICS, 2023, 14
  • [23] Genome-Wide Association Study Reveals the Genetic Basis of Five Quality Traits in Chinese Wheat
    Hao, Shuiyuan
    Lou, Hongyao
    Wang, Haiwei
    Shi, Jinghong
    Liu, Dan
    Baogerile
    Tao, Jianguang
    Miao, Sanming
    Pei, Qunce
    Yu, Liangliang
    Wu, Min
    Gao, Ming
    Zhao, Naihu
    Dong, Jinchao
    You, Mingshan
    Xin, Mingming
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [24] Genome-wide association study reveals the genetic basis of brace root angle and diameter in maize
    Sun, Daqiu
    Chen, Sibo
    Cui, Zhenhai
    Lin, Jingwei
    Liu, Meiling
    Jin, Yueting
    Zhang, Ao
    Gao, Yuan
    Cao, Huiying
    Ruan, Yanye
    FRONTIERS IN GENETICS, 2022, 13
  • [25] Genome-Wide Association Study Reveals the Genetic Architecture Underlying Salt Tolerance-Related Traits in Rapeseed (Brassica napus L.)
    Wan, Heping
    Chen, Lunlin
    Guo, Jianbin
    Li, Qun
    Wen, Jing
    Yi, Bin
    Ma, Chaozhi
    Tu, Jinxing
    Fu, Tingdong
    Shen, Jinxiong
    FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [26] Genome-wide association study (GWAS) of growth traits in olive flounder (Paralichthys olivaceus)
    Omeka, W. K. M.
    Liyanage, D. S.
    Lee, Sukkyoung
    Lim, Chaehyeon
    Yang, Hyerim
    Sandamalika, W. M. Gayashani
    Udayantha, H. M. V.
    Kim, Gaeun
    Ganeshalingam, Subothini
    Jeong, Taehyug
    Oh, Seong-Rip
    Won, Seung-Hwan
    Koh, Hyoung-Bum
    Kim, Mun-Kwan
    Jones, David B.
    Massault, Cecile
    Jerry, Dean R.
    Lee, Jehee
    AQUACULTURE, 2022, 555
  • [27] Genome-wide association study reveals the genetic architecture of flowering time in rapeseed (Brassica napus L.)
    Xu, Liping
    Hu, Kaining
    Zhang, Zhenqian
    Guan, Chunyun
    Chen, Song
    Hua, Wei
    Li, Jiana
    Wen, Jing
    Yi, Bin
    Shen, Jinxiong
    Ma, Chaozhi
    Tu, Jinxing
    Fu, Tingdong
    DNA RESEARCH, 2016, 23 (01) : 43 - 52
  • [28] Genome-Wide Association Study Reveals Genetic Architecture and Candidate Genes for Yield and Related Traits under Terminal Drought, Combined Heat and Drought in Tropical Maize Germplasm
    Osuman, Alimatu Sadia
    Badu-Apraku, Baffour
    Karikari, Benjamin
    Ifie, Beatrice Elohor
    Tongoona, Pangirayi
    Danquah, Eric Yirenkyi
    GENES, 2022, 13 (02)
  • [29] GENOME-WIDE ASSOCIATION STUDY (GWAS) WITH PRODUCTIVITY IN ROMANOV SHEEP BREED
    Krivoruchko, Alexander Y.
    Yatsyk, Olesya A.
    Saprikina, Tatyana Y.
    Petukhova, Daria D.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF BELARUS-AGRARIAN SERIES, 2021, 59 (01): : 71 - 80
  • [30] A Genome-Wide Association Study Dissects the Genetic Architecture of the Metaxylem Vessel Number in Maize Brace Roots
    Liu, Meiling
    Zhang, Meng
    Yu, Shuai
    Li, Xiaoyang
    Zhang, Ao
    Cui, Zhenhai
    Dong, Xiaomei
    Fan, Jinjuan
    Zhang, Lijun
    Li, Cong
    Ruan, Yanye
    FRONTIERS IN PLANT SCIENCE, 2022, 13