关键词:大豆; 脂肪酸; 数量性状位点; 环境 QTL Analysis of Fatty Acid Contents under Different Environments in Soybean LEI Ya-Kun1,2,**, LIU Bing-Qiang1,**, DI Rui1, YAN Long1, YANG Chun-Yan1, HAO Dong-Xu3, ZHANG Meng-Chen1,* 1Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences / Shijiazhuang Branch Center of National Center for Soybean Improvement / Hebei Genetic Breeding Laboratory, Shijiazhuang 050031, China
2Institute of Agricultural Information and Economy, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051, China
3Hebei Econmy Management School, Shijiazhuang 050071, China
Fund:This study was support by the National High Technology Research and Development Program of China (863 Program) (2012AA101106) and the National Natural Science Foundation of China (31000719), the Major Project of China on New Varieties of GMO Cultivation (2014ZX0800402B) and the China Agriculture Research Syscem (CARS-004-PS06), the Doctoral Scientific Research Foundation of Hebei Province (F13E006) and the Program for Excellent Young Talents in Hebei Province AbstractSoybean is an important crop which contributes about 60% of the world’s oilseed production. The quality of soybean oil depends on the relative composition of fatty acid in seeds. A population of recombinant inbred lines derived from a cross of Jidou 12 × Heidou was grown in two environments and the seed samples from the environments were evaluated for fatty acid contents. Simple sequence repeat (SSR) markers were used to construct genetic linkage map. A total of 16 QTLs underlying fatty acid contents were identified by CIM and MCIM methods using Windows QTL Cartographer 2.5 and QTL Network-2.0 software at Sanya and Shijiazhuang locations, respectively. These QTLs were scattered on linkage groups A2, B2, C2, F, G, I, L. According to the two environment combined data, 13 QTLs were detected using two mapping methods. Nine of them were common in the results from two methods. Another QTL associated with stearic acid content, named as Ste-1, located on LG B2 and flanked by Satt168 and Satt556, was stable across two locations, also. QTL Ste-1 could explain 12% of the phenotypic variation at both locations. This study is helpful to improve fatty acid composition in soybean.
图1 冀豆12× 黑豆中检测出的5种脂肪酸含量QTL在连锁群的分布Fig. 1 Distrbution of QTL for five types of fatty acids detected from Jidou 12× Heidou on linkage map
表3 Table 3 表3(Table 3)
表3 2年中用CIM法定位的5种脂肪酸含量QTL Table 3 QTLs mapping of five fatty acid contents with CIM method in two years
性状 Trait
位点 QTL
连锁群 Chr.
区间 Marker interval
加性效应 Additive effect
LOD值 LOD score
贡献率 PEV (%)
位置 Position (cM)
棕榈酸 Palmitic acid (F8)
Pal-1
F
Satt663-Satt335
-0.17
2.69
6
40.26
硬脂酸 Stearic acid (F7)
Ste-1
B2
Satt168-Satt556
-0.13
6.80
12
54.40
Ste-2
C2
Satt643-Satt286
0.16
6.49
11
66.74
硬脂酸 Stearic acid (F8)
Ste-1
B2
Satt168-Satt556
-0.09
4.13
12
48.40
Ste-3
B2
Satt556-Satt534
-0.09
5.12
12
59.80
Ste-4
C2
Satt286-Satt460
0.10
7.03
14
77.00
Ste-5
I
Satt496-Satt049
-0.07
2.50
6
37.03
油酸 Oleic acid (F7)
Ole-1
L
Satt278-Satt462
-0.52
2.53
5
38.43
油酸 Oleic acid (F8)
Ole-2
I
Satt162-Satt148
-0.47
4.23
9
75.44
Ole-3
I
Sat_418-Satt162
-0.49
3.85
10
68.20
亚油酸 Linoleic acid (F8)
Lei-1
C2
Satt457-Satt322
-0.45
4.85
12
42.94
Lei-2
I
Sat_418
0.32
3.09
6
60.20
亚麻酸 Linolenic acid (F7)
Len-1
I
Satt162-Satt148
0.37
3.92
8
81.44
Len-2
C2
Sat_062-Satt281
0.28
2.44
5
14.01
亚麻酸 Linolenic acid (F8)
Len-3
A2
Satt409-Satt429
0.29
3.57
10
36.94
Len-4
C2
Satt457-Satt322
0.28
3.07
7
131.50
Len-5
G
Satt612-Sat_372
0.33
5.07
15
78.93
Negative values represent gene additive effect from the female parent Jidou 12, positive values from the male parent Heidou Heidou parent. 加性效应A中的负值代表增效基因来自母本冀豆12, 正值代表增效基因来自父本黑豆。
表3 2年中用CIM法定位的5种脂肪酸含量QTL Table 3 QTLs mapping of five fatty acid contents with CIM method in two years
表4 2年中用MCIM法定位的5种脂肪酸含量QTL及其与环境的互作 Table 4 QTLs mapping of five fatty acid contents QE interaction with MCIM in two years
性状 Trait
位点 QTL
标记区间 Marker interval
F值 F-value
加性效应 Additive effect
H2A
H2AEi
AEi1
AEi2
棕榈酸 Palmitic acid
NPal-1
Satt409-Satt429
10.62
-0.29
0.0554
0.0006
-0.0002
0.0002
NPal-2
Satt335-Satt144
20.21
0.27
0.1088
0.0008
0.0003
-0.0003
NPal-3
Satt607-Satt361
8.25
-0.13
0.0338
0.0005
0.0002
-0.0003
硬脂酸Steatic acid
NSte-1
Satt286-Satt460
39.92
-0.19
0.1538
0.0006
0.0163
-0.0168
NSte-2
Satt556-Satt534
30.27
0.11
0.1149
0.0056
-0.0001
0.0001
油酸 Oleic acid
NOle-1
Satt462-Satt481
9.33
0.44
0.0407
0.0019
0.0002
-0.0002
NOle-2
Satt317-Sct_193
9.80
1.81
0.0392
0.0060
0.4442
-0.4458
NOle-3
Sat_418-Satt162
11.92
0.74
0.0573
0.0007
0.0001
-0.0001
亚油酸 Linoleic acid
NLei-1
Satt457-Satt322
11.06
0.29
0.0380
0.0007
-0.0006
0.0006
NLei-2
Satt317-Sct_193
13.03
-0.47
0.0529
0.0089
-0.1395
0.1406
NLei-3
Satt049-Sat_418
10.97
-0.47
0.0584
0.0000
0.0000
-0.0000
亚麻酸 Linolenic acid
NLen-1
Satt409-Satt429
12.64
0.44
0.0663
0.0036
-0.0409
0.0410
NLen-2
Satt457-Satt322
17.95
-0.36
0.0771
0.0005
0.0001
-0.0001
AEi1, AEi2 indicate the additive effect of interaction of QTL with environments, in Sanya of 2010 and in Shijiazhuang of 2011, respectively. AEi1、AEi2分别表示2010年三亚和2011年石家庄2个环境下QTL与环境互作的加性效应。
表4 2年中用MCIM法定位的5种脂肪酸含量QTL及其与环境的互作 Table 4 QTLs mapping of five fatty acid contents QE interaction with MCIM in two years
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