Identification of Quantitative Trait Loci and Candidate Genes for Maize Starch Granule Size through Association Mapping

被引:0
|
作者
Na Liu
Zhanhui Zhang
Yadong Xue
Shujun Meng
Yubi Huang
Weihua Li
Jihong Huang
Jihua Tang
机构
[1] Henan Agricultural University,Key Laboratory of Wheat and Maize Crops Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy
[2] Henan University of Technology,College of Biological engineering
[3] Sichuan Agricultural University,College of Agronomy
[4] Yangtze University,Hubei Collaborative Innovation Center for Grain Industry
来源
关键词
Starch Granule Size; Quantitative Trait Loci (QTL); Significant SNPs; Single Nucleotide Polymorphisms (SNPs); Rapid Visco Analyzer;
D O I
暂无
中图分类号
学科分类号
摘要
Starch is an important nutrient component of maize kernels, and starch granule size largely determines kernel waxiness, viscosity, and other physiochemical and processing properties. To explore the genetic basis of maize starch granule size, 266 tropical, subtropical, and temperate inbred lines were subjected to genome-wide association analyses with an array of 56,110 random single nucleotide polymorphisms (SNPs). In the present panel, the kernel starch granule size ranged from 7–15.8 µm long and 6.8–14.3 µm wide. Fourteen significant SNPs were identified as being associated with the length of starch granules and 9 with their width. One linkage disequilibrium block flanking both sides of a significant SNP was defined as a quantitative trait locus (QTL) interval, and seven QTLs were mapped for both granule length and width. A total of 79 and 88 candidate genes associated with starch length and width, respectively, were identified as being distributed on QTL genomic regions. Among these candidate genes, six with high scores were predicted to be associated with maize starch granule size. A candidate gene association analysis identified significant SNPs within genes GRMZM2G419655 and GRMZM2G511067, which could be used as functional markers in screening starch granule size for different commercial uses.
引用
收藏
相关论文
共 50 条
  • [1] Identification of Quantitative Trait Loci and Candidate Genes for Maize Starch Granule Size through Association Mapping
    Liu, Na
    Zhang, Zhanhui
    Xue, Yadong
    Meng, Shujun
    Huang, Yubi
    Li, Weihua
    Huang, Jihong
    Tang, Jihua
    [J]. SCIENTIFIC REPORTS, 2018, 8
  • [2] Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize
    Zhang, Ning
    Huang, Xueqing
    [J]. PLOS ONE, 2021, 16 (01):
  • [3] Mapping of the Quantitative Trait Loci and Candidate Genes Associated With Iron Efficiency in Maize
    Xu, Jianqin
    Qin, Xiaoxin
    Zhu, Huaqing
    Chen, Fanjun
    Fu, Xiuyi
    Yu, Futong
    [J]. FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [4] Mapping quantitative trait loci for starch granule traits in barley
    Borém, A
    Mather, DE
    Rasmusson, DC
    Fulcher, RG
    Hayes, PM
    [J]. JOURNAL OF CEREAL SCIENCE, 1999, 29 (02) : 153 - 160
  • [5] Combining Three Mapping Strategies to Reveal Quantitative Trait Loci and Candidate Genes for Maize Ear Length
    Zhou, Bo
    Zhou, Zijian
    Ding, Junqiang
    Zhang, Xuecai
    Mu, Cong
    Wu, Yabin
    Gao, Jingyang
    Song, Yunxia
    Wang, Shiwei
    Ma, Jinliang
    Li, Xiantang
    Wang, Ruixia
    Xia, Zongliang
    Chen, Jiafa
    Wu, Jianyu
    [J]. PLANT GENOME, 2018, 11 (03):
  • [6] Fine mapping of candidate quantitative trait loci for plant and ear height in a maize nested-association mapping population
    Yin, Xingfu
    Bi, Yaqi
    Jiang, Fuyan
    Guo, Ruijia
    Zhang, Yudong
    Fan, Jun
    Kang, Manjit S.
    Fan, Xingming
    [J]. FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [7] Identification of quantitative trait loci and candidate genes for cadmium tolerance in Populus
    Induri, Brahma Reddy
    Ellis, Danielle R.
    Slavov, Gancho T.
    Yin, Tongming
    Zhang, Xinye
    Muchero, Wellington
    Tuskan, Gerald A.
    DiFazio, Stephen P.
    [J]. TREE PHYSIOLOGY, 2012, 32 (05) : 626 - 638
  • [8] Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize
    Yanming Zhao
    Chengfu Su
    [J]. Scientific Reports, 9
  • [9] Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize
    Zhao, Yanming
    Su, Chengfu
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [10] Identification of candidate genes for fiber length quantitative trait loci through RNA-Seq and linkage and physical mapping in cotton
    Xihua Li
    Man Wu
    Guoyuan Liu
    Wenfeng Pei
    Honghong Zhai
    Jiwen Yu
    Jinfa Zhang
    Shuxun Yu
    [J]. BMC Genomics, 18