Crops ›› 2019, Vol. 35 ›› Issue (1): 44-49.doi: 10.16035/j.issn.1001-7283.2019.01.007

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Genome-Wide Association Analysis of Wheat at Heading and Flowering Stages

Zheng Zhang1,Yinquan Niu1,Dong Zhang1,Chengmei Hu1,Yichuan Yuan1,Huiyan Wang1,Shuguang Wang1,Yaping Cao2,Daizhen Sun1   

  1. 1 College of Agriculture, Shanxi Agricultural University, Taigu 030801, Shanxi, China
    2 Wheat Research Institute, Shanxi Academy of Agricultural Sciences, Linfen 041000, Shanxi, China
  • Received:2018-08-08 Revised:2019-01-02 Online:2019-02-15 Published:2019-02-01
  • Contact: Daizhen Sun

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Abstract:

In order to reveal the genetic loci controlling the heading and flowering date of wheat, 106 pairs of SSR markers, evenly distributed on 21 chromosomes, and a natural population consisted of 205 accessions, were used to perform genome-wide association analysis. The results showed that 879 allelic variations were detected in 106 pairs of SSR markers. The main allelic variation frequency ranged from 0.175 to 0.986 with an average of 0.548. The polymorphism information index ranged from 0.028-0.900 with an average of 0.557. A mixed linear model was used to detect seven loci associated with significant heading and flowering date (P<0.01), one of which were extremely significant (P<0.001). In addition, Xgwm182(5D) was significantly associated with heading date under irrigation conditions. Xbarc42(3D) was significantly associated with heading and flowering date under rainfed conditions, respectively. These two sites were consistent with previous studies. Xgwm102(2D) was significantly associated with flowering date under irrigation conditions, while Xgwm124(1B) was significantly associated with heading date under rainfed conditions. Xgwm130(7A) was associated with heading date under rainfed and irrigation conditions. The above results provide information for molecular marker-assisted selection breeding of heading and flowering date in wheat.

Key words: Wheat, Heading date, Flowering date, Association analysis, Marker-assisted selection breeding

Table 1

Descriptive statistics for different phenotypic data"

年份
Year		 环境
Environment		 性状
Trait		 平均值(d)
Average		 标准差
Standard deviation		 变幅(d)
Variable amplitude		 变异系数(%)
Coefficient of variation
2017 雨养 抽穗期 216.60 2.17 213~223 1.00
开花期 222.36 1.78 218~227 0.80
灌溉 抽穗期 217.28 2.36 214~224 1.09
开花期 223.72 1.83 217~229 0.82
2018 雨养 抽穗期 239.23 2.31 235~247 0.97
开花期 244.21 1.60 241~250 0.66
灌溉 抽穗期 241.91 2.07 237~249 0.86
开花期 247.34 1.31 244~251 0.53

Fig.1

Analysis results of population structure of 205 wheat varieties based on 106 SSR markers b, genetic structure analyzed by Structure V2.3.2 software"

Table 2

Association analysis of heading and flowering date in wheat"

生育期
Growing stage		 标记
Marker		 染色体
Chromosome		 年份
Year		 环境
Environment		 P值
P value		 表型解释率R2 (%)
Phenotypic interpretation rate R2		 等位变异(bp)
Allelic variation		 效应(d)
Effect
抽穗期Heading gwm182 5D 2017 灌溉 0.00721 7.62 160 -1.29
gwm130 7A 2018 雨养 0.00702 10.90 132 1.62
gwm130 7A 2018 灌溉 0.00305 12.18 132 2.04
barc42 3D 2018 雨养 0.00537 5.26 112 -1.85
gwm124 1B 2018 雨养 0.00312 8.10 190 -0.95
开花期Flowering gwm102 2D 2017 灌溉 0.00044 14.31 134 2.96
gwm218 3A 2017 灌溉 0.00636 11.32 136 -1.68
barc42 3D 2018 雨养 0.00537 5.26 112 -1.26
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