Crops ›› 2019, Vol. 35 ›› Issue (3): 24-28.doi: 10.16035/j.issn.1001-7283.2019.03.005

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Improvement of Grain Oil Content in Maize Inbred Lines by Molecular Markering Technology

Lu Shouping,Zhang Hua,Meng Zhaodong,Mu Chunhua   

  1. Maize Research Institute of Shandong Academy of Agricultural Sciences/Key Laboratory of Maize Biology and Genetic Breeding in North Huanghuaihai, Ministry of Agriculture and Rural Affairs, Jinan 250100, Shandong, China
  • Received:2018-12-10 Revised:2019-04-18 Online:2019-06-15 Published:2019-06-12
  • Contact: Chunhua Mu

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Abstract:

High-oil maize refers to maize with a grain oil content higher than 6%. It is an excellent crop of grain, oil and feed. The high oil maize inbred line By804 contains two major QTLs, qHO1 and qHO6. In this study, By804 was used as a donor, using linkage-labeled molecular-assisted selection technology, combined with field agronomic traits identification and nuclear magnetic resonance verification, two major QTLs were transferred to common maize inbred lines lx9801, lx03-2 and lx00- 1 by backcrosses. The results showed that the growth trend of oil in different generations of improved inbred lines was similar. The generation BC1F1 had the highest oil content increase, and with the increase of backcross algebra, the oil content of grain decreased gradually. Different genetic backgrounds had an effect on oil content. The average effect on lx9801 was the best with absolute oil content increases by 0.72% compared with the two-point effects. qHO6 was better in improving the grain oil content, which could increased the oil content of grain by an average of 0.58%.

Key words: Maize, Inbred line, Grain oil, QTL, Marker-assisted selection

Table 1

Dates, sites and methods of selection of materials for each generation"

时间Date 种植世代Generation 种植地点Site 选择方法Method of selection
2006年10月October 2006 亲本 海南三亚 -
2007年2月February 2007 F1 海南三亚 -
2007年6月June 2007 BC1F1 济南章丘 农艺性状、油分检测、标记辅助检测
2007年10月October 2007 BC2F1 海南三亚 农艺性状、油分检测、标记辅助检测
2008年6月June 2008 BC3F1 济南章丘 农艺性状、油分检测、标记辅助检测
2008年10月October 2008 BC4F1 海南三亚 农艺性状、油分检测、标记辅助检测
2009年6月June 2009 BC5F1 济南章丘 农艺性状、油分检测、标记辅助检测
2009年10月October 2009 BC5F2 海南三亚 农艺性状、油分检测、标记辅助检测

Table 2

Linkage marker information for receptor parents"

标记
Marker		 位置
Position		 与QTL距离(cM)
Distance from QTL		 QTL 适用亲本Applicable parent
bnlg1884 bin1.06 13.4 qHO1 lx9801, lx03-2
umc1979 bin6.04 0.5 qHO6 lx9801, lx03-2
umc2112 bin1.02 21.0 qHO1 lx00-1
umc1656 bin6.02 17.8 qHO6 lx00-1

Table 3

PCR amplification conditions for each marker"

标记
Marker		 序列
Sequence		 PCR反应程序
PCR reaction procedure		 产物大小(bp)
Product size
bnlg1884 F：TTCGGATGCATGTGTAACGT
R：CGGAAGTCCCATCTGTTTGT		 94℃ 5min;94℃ 30s,58℃ 30s,72℃ 50s,30个循环;72℃ 10min 188
umc1979 F：AATTTCGGGAAACAGGCCAT
R：GAGTCCCCGAAACTGAACACC		 94℃ 5min;94℃ 30s,58℃ 30s,72℃ 50s,30个循环;72℃ 10min 140
umc2112 F：AGCTCTACCAAACACGAGCTTCAT
R：CAAATGCAGAAAGATAACGCGAAT		 94℃ 5min;94℃ 30s,56℃ 30s,72℃ 50s,30个循环;72℃ 10min 133
umc1656 F：AGTTTTGACCGCGCAAAAGTTA
R：GTACGAGCAGGCCATTAACCC		 94℃ 5min;94℃ 30s,56℃ 30s,72℃ 50s,30个循环;72℃ 10min 135

Table 4

Information of seeding, backcrossing and screening of ear for each separation generation"

世代
Generation		 lx9801 lx03-2 lx00-1
播种粒数/穗
Seeding
number/ear		 回交穗数
Backcross ear
number		 果穗入选率(%)
Ear selection rate		 播种粒数/穗
Seeding
number/ear		 回交穗数
Backcross ear number		 果穗入选率(%)
Ear selection rate		 播种粒数/穗
Seeding
number/ear		 回交穗数
Backcross ear number		 果穗入选率(%)
Ear selection rate
BC1F1 290/10* 280** - 215/10 201 - 415/10 264 -
BC2F1 160/14 151 5.00*** 160/17 152 8.45 220/12 218 4.54
BC3F1 370/20 290 13.24 380/20 310 13.16 487/20 350 9.17
BC4F1 380/20 300 6.89 281/20 200 6.46 460/20 420 5.71
BC5F1 507/28 450 9.33 800/36 560 18.00 373/25 340 5.95
合计Total 1 707/92 1 471 8.62 1 416/103 1 423 11.52 1 955/87 1 592 6.34

Fig.1

Amplification map of different markers in progeny of backcross populations"

Fig.2

Variation of oil content in each modified inbred line compared with receptor grain"

Table 5

Oil content of different generations of improved inbred lines %"

材料
Material		 lx9801改良系
lx9801 improved line		 lx03-2改良系
lx03-2 improved line		 lx00-1改良系
lx00-1 improved line
qHO1 qHO6 qHO1 qHO6 qHO1 qHO6
BC1F1 4.16±0.36 4.19±0.23 4.70±0.68 4.85±0.43 4.77±0.63 4.81±0.35
BC2F1 3.47±0.28 3.61±0.32 3.80±0.63 4.01±0.36 4.05±0.64 4.24±0.48
BC3F1 2.81±0.44 3.05±0.54 2.77±0.44 3.04±0.50 3.98±0.44 3.96±0.46
BC4F1 2.87±0.37 2.76±0.37 3.54±0.53 3.41±0.47 3.66±0.57 3.99±0.53
BC5F1 3.08±0.31 3.10±0.35 2.96±0.32 3.01±0.38 3.26±0.35 3.48±0.41
BC5F2 3.20±0.37 3.11±0.41 3.28±0.50 3.58±0.50 3.58±0.40 3.70±0.40

Fig.3

Oil content distribution of the improved lines BC5F2 generation"

[1] 宋同明 . 脉冲核磁共振仪(Pulsed NMR)对作物种子含油量的快速测定. 作物学报, 1989,15(2):160-166.
[2] 范弘伟 . 高油玉米群体的杂种优势模式与高油授粉者选育. 北京:中国农业大学, 2001.
[3] Han Y, Parsons C M, Alexander D E . Nutritive value of high oil corn for poultry. Poultry Science, 1987,66(1):103-111.
doi: 10.3382/ps.0660103
[4] Lambert R J, Hallauer A R. High-oil Corn Hybrids. London: CRC Press, 1994.
[5] Lambert R J, Alexander D E, Mejaya I J . Single Kernel Selection for Increased Grain Oil in Maize Synthetics and High-Oil Hybrid Development.John Wiley & Sons,Inc. 2004: 153-175.
[6] Song T M, Chen S J . Long term selection for oil concentration in five maize populations [Zea mays L.; China]. Maydica, 2004,49(1):9-14.
[7] Clark D, Dudley J W, Rocheford T R , et al. Genetic analysis of corn kernel chemical composition in the random mated 10 generation of the cross of generations 70 of IHO×ILO. Translational Oncology, 2006,3(6):373-379.
[8] Collard B C Y, Mackill D J . Marker-assisted selection:an approach for precision plant breeding in the twenty-first century. Philosophical Transactions:Biological Sciences, 2008,363(1491):557-572.
doi: 10.1098/rstb.2007.2170
[9] Xu Y B, Crouch J H . Marker-assisted selection in plant breeding:from publications to practice. Crop Science, 2008,48(2):391-407.
doi: 10.2135/cropsci2007.04.0191
[10] 郝晓敏 . 利用两个高油主效QTL改良优良杂交种—郑单958的研究. 北京:中国农业大学, 2014.
[11] Hao X M, Li X W, Yang X H , et al. Transferring a major QTL for oil content using marker-assisted backcrossing into an elite hybrid to increase the oil content in maize. Molecular Breeding, 2014,34(2):739-748.
doi: 10.1007/s11032-014-0071-x
[12] Guo Y, Yang X, Yang , et al. Identification of unconditional and conditional QTL for oil,protein and starch content in maize. The Crop Journal, 2013,1(1):34-42.
doi: 10.1016/j.cj.2013.07.010
[13] 郭玉秋 . 高油玉米籽粒品质性状条件与非条件QTL分析及农艺性状QTL的定位. 北京:中国农业大学, 2011.
[14] 李文才 . 粗山羊草D组染色体对小麦若干产量性状的影响. 泰安:山东农业大学, 2005.
[15] Hong Y X, Qiu G Y, Bing Y J , et al. Major and minor QTL and epistasis contribute to fatty acid compositions and oil concentration in high-oil maize. Theoretical & Applied Genetics, 2010,120(3):665-678.
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