Scientia Agricultura Sinica ›› 2014, Vol. 47 ›› Issue (8): 1471-1480.doi: 10.3864/j.issn.0578-1752.2014.08.003

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

QTL Mapping Based on Embryo and Maternal Genetic Systems for Oil and Protein Contents in Rapeseed (Brassica napus L.)

 XU  Jian-Feng-1, LONG  Yan-2, WU  Jian-Guo-3, ZHAO  Zhi-Gang-4, XU  Hai-Ming-1, WEN  Juan-1, MENG  Jin-Ling-2, SHI  Chun-Hai-1   

  1. 1、College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058;
    2、College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070;
    3、School of Agricultural and Food Science, Zhejiang A&F University,Lin’an 311300, Zhejiang;
    4、Qinghai Academy of Agricultural and Forestry Sciences, Xining 810016
  • Received:2013-11-05 Online:2014-04-15 Published:2013-12-23

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Abstract: 【Objective】 In present study, BC1F1 1 and BC1F1 2 populations constructed from Brassica napus genetic population TN DH and parents Tapidor and Ningyou7 were used to analyze the distribution and linkage markers of QTLs with embryo genetic effects, maternal genetic main effects, and their QTL × environment interaction effects on oil and protein contents in rapeseed, as well as to study the influence of environmental interaction on QTL mapped on different genetic systems and explore the optimal strategies and methods for improvement of these two quality traits in marker-assisted selection. 【Method】 A total of 202 TN DH lines and parents were planted in accordance with the general method for field experiments, based on randomized block design with two replications for two years. At flowering stage, BC1F1 1 and BC1F1 2 populations were constructed by double cross between 202 TN DH lines and parents, and the mature seeds of backcross population and parents were harvested for determining the oil and protein contents in rapeseed. Near infrared reflectance calibration models and methods were used for the measurement of oil and protein contents. A genetic map and a newly developed QTL mapping software and methods considering two different genetic systems for quality traits of dicotyledonous crop seeds were used to detect QTLs for oil and protein contents with the data from BC1F1 1 and BC1F1 2 populations in different years. 【Result】 A total of seven QTLs relevant to oil and protein contents in rapeseed were distributed in A1, A4, A6, A7, C2 and C5 linkage groups, in which four QTLs associated with oil content were detected as well as three QTLs for protein content, with total phenotypic contributions of 49.1% and 59.6%, respectively. All QTLs showed extremely significant embryo additive main effects and maternal additive main effects, in which four QTLs were found to have significant or extremely significant embryo dominant main effects, and two QTLs for oil content had significant environmental interaction effects. qOC-6-3 and qPC-4-1 were detected as the important QTLs with larger genetic effects, which could explain 36.3% and 37.9% of the phenotypic variation in oil content and protein content, respectively. qOC-4-2 and qPC-4-1 were co-localized in the A4 linkage group between molecular markers HS-K02-2 and HBR094 with the confidence interval of 17.5-19.4 cM. 【Conclusion】 The results showed that oil content and protein content in rapeseed could be controlled by the expression of QTLs located in different genetic systems of seed embryo and maternal plant, and environment interaction effects play more significant roles on the performance of oil content while the QTL expression of protein content was relatively stable in different environmental conditions. In addition, qOC-6-3 detected on A6 linkage group and qPC-4-1 on A4 linkage group are major QTLs for oil and protein contents，respectively, and three QTLs for protein content in present experiment have not been reported ever since.

Key words: Brassica napus L. , oil content , protein content , quantitative trait locus (QTL) , genetic main effect , QTL ×, environment interaction effect

[1]Wang H. Strategy for rapeseed genetic improvement in China in the coming fifteen years. Chinese Journal of Oil Crop Sciences, 2004, 26: 98-101.

[2]Mahmood T, Rahman M H, Stringam G R, Yeh F, Good A G. Identification of quantitative trait loci (QTL) for oil and protein contents and their relationships with other seed quality traits in Brassica juncea. Theoretical and Applied Genetics, 2006, 113: 1211-1220.

[3]Ecke W, Uzunova M, WeiBleder K. Mapping the genome of rapeseed (Brassica napus L.). II. Localization of genes controlling erucic acid synthesis and seed oil content. Theoretical and Applied Genetics, 1995, 91: 972-977.

[4]Zhao J Y, Becker H C, Zhang D Q, Zhang Y F, Ecke W. Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield. Theoretical and Applied Genetics, 2006, 113: 33-38.

[5]Zhang H Z, Shi C H, Wu J G, Ren Y L, Li C T, Zhang D Q, Zhang Y F. Analysis of genetic and genotype × environment interaction effects from embryo, cytoplasm and maternal plant for oleic acid content of Brassica napus L.. Plant Science, 2004, 167: 43-48.

[6]Wu J G, Shi C H, Zhang H Z. Genetic analysis of embryo, cytoplasmic and maternal effects and their environment interactions for protein content in Brassica napus L.. Australian Journal of Agricultural Research, 2005, 56(1): 69-73.

[7]Wu J G, Shi C H, Zhang H Z. Partitioning genetic effects due to embryo, cytoplasm and maternal parent for oil content in oilseed (Brassica napus L.). Genetic and Molecular Biology, 2006, 29(3): 533-538.

[8]Variath M T, Wu J G, Li Y X, Chen G L, Shi C H. Genetic analysis for oil and protein contents of rapeseed (Brassica napus L.) at different developmental times. Euphytica, 2009, 166: 145-153.

[9]Chen G L, Wu J G, Shi C H. Dynamic genetic effects on threonine content in rapeseed (Brassica napus L.) meal at different developmental stages. Czech Journal of Genetics and Plant Breeding, 2011, 47(3): 101-113.

[10]Foolad M R, Jones R A. Models to estimate maternally controlled genetic variation in quantitative seed characters. Theoretical and Applied Genetics, 1992, 83: 360-366.

[11]Zhu J, Weir B S. Mixed model approaches for genetic analysis of quantitative traits// Chen L S. Proceedings of the International Conference on Mathematical Biology. World Scientific Publishing Co., Singapore, 1998: 321-330.

[12]Wang D L, Zhu J, Li Z K, Paterson A H, Mapping QTLs with epistatic effects and genotype ? environment interactions by mixed linear model approaches. Theoretical and Applied Genetics, 1999, 99: 1255-1264.

[13]Cui Y H, Casella G, Wu R L. Mapping quantitative trait loci interactions from the maternal and offspring genomes. Genetics, 2004, 167: 1017-1026.

[14]Zheng X, Wu J G, Lou X Y, Xu H M, Shi C H. The QTL analysis on maternal and endosperm genome and their environmental interactions for characters of cooking quality in rice (Oryza sativa L.). Theoretical and Applied Genetics, 2008, 116(3): 335-342.

[15]Shi C H, Shi Y, Lou X Y, Xu H M, Zheng X, Wu J G. Identification of endosperm and maternal plant QTLs for protein and lysine contents of rice across different environments. Crop and Pasture Science, 2009, 60(3): 295-301.

[16]Alfred Q, Liu H Y, Xu H M, Li J R, Wu J G, Zhu S J, Shi C H. Mapping of quantitative trait loci for oil content in cottonseed kernel. Journal of Genetics, 91: 289-295.

[17]Liu H Y, Quampah A, Chen J H, Li J R, Huang Z R, He Q L, Zhu S J, Shi C H. QTL mapping based on different genetic systems for essential amino acid contents in cottonseeds in different environments. PLoS One, 2013, 8(3): 57531.

[18]Qiu D, Morgan C, Shi J, Long Y, Liu J, Li R, Zhuang X, Wang Y, Tan X, Dietrich E, Weihmann T, Everett C, Vanstraelen S, Beckett P, Fraser F, Trick M, Barnes S, Wilmer J, Schmidt R, Li J, Li D, Meng J, Bancroft I. A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content. Theoretical and Applied Genetics, 2006, 114: 67-80.

[19]吴建国, 石春海, 张海珍, 樊龙江. 应用近红外反射光谱法整粒测定小样品油菜籽含油量的研究. 作物学报, 2002, 28(3): 421-425.

Wu J G, Shi C H, Zhang H Z, Fan L J. Study on analysis of oil content in intact rapeseed with few sample size by near infrared reflectance spectroscopy. Acta Agronomic Sinica, 2002, 28(3): 421-425 (in Chinese)

[20]吴建国. 作物种子品质研究中近红外光谱分析模型的创建和应用[D]. 杭州: 浙江大学, 2003.

W J G. NIR spectroscopy model construction and application in the research of crop seed qualities[D]. Hangzhou: Zhejiang University, 2003. (in Chinese)

[21]Shi J Q, Li R L, Qiu D, Jiang C C, Long Y, Morgan C, Bancroft I, Zhao J Y, Meng J L. Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus. Genetics, 2009, 182: 851-861.

[22]Yang J, Zhu J, Williams R W. Mapping the genetic architecture of complex traits in experimental populations. Bioinformatics, 2007, 23: 1527-1536.

[23]McCouch S R, Cho Y G, Yano P E, Blinstrub M, Morishima H, Kinoshita T. Report on QTL nomenclature. Rice Genetic Newsletter, 1997, 14: 11-13.

[24]Grami B, Stefansson B R. Genetics of protein and oil content in summer rape: Heritability, numbers of effective factors, and correlations. Canadian Journal of Plant Science, 1977, 57: 937-943.

[25]Zhao J. QTLs for oil content and their relationships to other agronomic traits in a European × Chinese oilseed rape population[D]. Germany: Georg-August University of Göttingen, 2002.

[26]Paterson A H, Lander E S, Hewitt J D, Peterson S, Lincoln S E, Tanksley S D. Resolution of quantitative traits into Mendelian factors using a complete linkage map of restriction fragment length polymorphisms. Nature, 1988, 335: 721-726.

[27]Tanksley S D. Mapping polygenes. Annual Review of Genetics, 1993, 27: 205-233.

[28]Lander E S, Bostein D, Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics, 1989, 121: 185-199.

[29]Jansen R C. Interval mapping of multiple quantitative trait Loci. Genetics, 1993, 135: 205-211.

[30]Zeng Z B. Precision mapping of quantitative trait loci. Genetics, 1994, 136: 1457-1468.

[31]Burns M J, Barnes S R, Bowman J G, Clarke M H E, Werner C P, Kearsey M J. QTL analysis of an intervarietal set of substitution lines in Brassica napus: (i) Seed oil content and fatty acid composition. Heredity, 2003, 90: 39-48.

[32]Zhao J Y, Becker H C, Zhang D Q, Ecke W. Oil content in a European Chinese rapeseed population: QTL with additive and epistatic effects and their genotype–environment interactions. Crop Science, 2005, 45: 51-59.

[33]金梦阳, 李加纳, 付福友, 张正圣, 张学昆, 刘列钊. 甘蓝型油菜含油量及皮壳率的QTL分析. 中国农业科学, 2007, 40(4): 677-684.

Jin M Y, Li J N, Fu F Y, Zhang Z S, Zhang X K, Liu L Z. QTL analysis of oil and hull content in Brassica napus L.. Scientia Agricultura Sinica, 2007, 40(4):677-684. (in Chinese)

[34]张洁夫, 戚存扣, 浦惠明, 陈松, 陈锋, 高建芹, 陈新军, 顾慧, 傅寿仲. 甘蓝型油菜含油量的遗传与QTL定位. 作物学报, 2007, 33(9): 1495-1501.

Zhang J F, Qi C K , Pu H M , Chen S, Chen F, Gao J Q, Chen X J, Gu H, Fu S Z. Inheritance and QTL identification of oil content in rapeseed (Brassica napus L.). Acta Agronomic Sinica, 2007, 33(9): 1495-1501. (in Chinese)

[35]Chen G, Geng J F, Rahman M, Liu X P, Tu J X, Fu T D, Li G Y, McVetty P B E, Tahir M. Identification of QTL for oil content, seed yield, and flowering time in oilseed rape (Brassica napus). Euphytica, 2010, 175: 161-174.

[36]Sun M Y, Hua W, Liu J, Huang S M, Wang X F, Liu G H, Wang H Z. Design of new genome- and gene-sourced primers and identification of QTL for seed oil content in a specially high-oil Brassica napus cultivar. PLoS One, 2012, 7(10): e47037.

[37]Gan G X, Lin S C. Research on and breeding for high oil content in rapes. Seed, 1997, 1: 31-33.

[38]Wang X F, Liu G H, Yang Q, Hua W, Liu J, Wang H Z. Genetic analysis on oil content in rapeseed (Brassica napus L.). Euphytica, 2010, 173: 17-24.

[39]Delourme R, Falentin C, Huteau V, Clouet V, Horvais R, Gandon B, Specel S, Hanneton L, Dheu J E, Deschamps M, Margale E, Vincourt P, Renard M. Genetic control of oil content in oilseed rape (Brassica napus L.). Theoretical and Applied Genetics, 2006, 113: 1331-1345.

[40]Gül M, Becker H C, Ecke W. QTL mapping and analysis of QTL × nitrogen interactions for protein and oil contents in Brassica napus L..//Proceeding of the 11th international rapeseed congress. Copenhagen, Denmark, 2003: 91-93.
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