Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (07): 1003-1011.doi: 10.3724/SP.J.1006.2017.01003


QTL Mapping for Oil, Protein and Sesamin Contents in Seeds of White Sesame

WU Kun1,2,WU Wen-Xiong1,YANG Min-Min1,LIU Hong-Yan1,HAO Guo-Cun1,ZHAO Ying-Zhong1,*   

  1. 1 Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences / Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China; 2 Biotechnology Research Center of Southwest University, Chongqing 400715, China
  • Received:2016-08-18 Revised:2017-01-20 Online:2017-07-12 Published:2017-03-22
  • Contact: 赵应忠, E-mail: zhaoyz63@163.com, Tel: 027-86733625 E-mail:adwukun@126.com
  • Supported by:

    The work was supported by the National Natural Science Foundation of China (31201243), the National Key Basic Research Program of China (973 Program) (2011CB109304), and the China Agriculture Research System (CARS-15).


Seed oil content, protein content and sesamin content are three important targets for sesame breeding. The objective of this study was to explore the genetic model and detect quantitative trait loci (QTLs) for three quality traits using a mapping population containing 224 recombinant inbred lines (RILs, F9). The three quality traits of seeds were measured by near infrared reflectance spectroscopy (NIRS) in three environments. Correlation analysis showed oil content was negatively correlated with protein content but positively correlated with sesamin content, whereas, protein content was negatively correlated with sesamin content. Using mixed composite interval mapping (MCIM) method, a total of eight QTLs distributed were detected for the three seed quality traits, with contribution ratio of QTL additive effect from 0.41% to 14.55%. While 13 QTLs were detected on nine LGs with multiple interval mapping (MIM), explaining 5.2% to 18.6% of the total phenotypic variation. Five QTLs were detected to be located on the same regions with MCIM and MIM, and two QTLs were detected in more than two environments. The Qoc-5 and Qsc-5 were located on the same region of LG5, both of which had positive additive effect, while the Qpc-5 was on the nearby region with negative additive effect. Similar results also existed on LG2 and LG1, which might be due to pleiotropism or closely linkage. Accordingly, the contents of oil and sesamin in seed can be improved together, while select protein content negatively in breeding.

Key words: Sesame, Oil content, Protein content, Sesamin content, QTL

[1] Morrell P L, Buckler E S, Ross-Ibarra J. Crop genomics: advances and applications. Nat Rev Genet, 2012, 13: 85–96 [2] 张书芬, 傅廷栋, 朱家成, 王建平, 文雁成, 马朝芝. 甘蓝型油菜产量及其构成因素的QTL定位与分析. 作物学报, 2006, 32: 1135–1142 Zhang S F, Fu T D, Zhu J C, Wang J P, Wen Y C, Ma C Z. QTL Mapping and epistasis analysis for yield and its components in Brassica napus L. Acta Agron Sin, 2006, 34: 1135–1142 (in Chinese with English abstract) [3] Yan X Y, Li J N, Fu F Y, Jin M Y, Jin M Y, Chen L, Liu L Z. Co-location of seed oil content, seed hull content and seed coat color QTL in three different environments in Brassica napus L. Euphytica, 2009, 170: 355–364 [4] 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: 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. Sci Agric Sin, 2007, 40: 677–684 (in Chinese with English abstract) [5] Zhang W K, Wang Y J, Luo G Z, Zhang J S, He C Y, Wu X L, Gai J Y, Chen S Y. QTL mapping of ten agronomic traits on the soybean (Glycine max (L.) Merr.) genetic map and association with EST markers. Theor Appl Genet, 2004, 108: 1131–1139 [6] 郑永战, 盖钧镒, 卢为国, 李卫东, 周瑞宝, 田少君. 大豆脂肪及脂肪酸组分含量的QTL定位. 作物学报, 2006, 32: 1823–1830 Zheng Y Z, Gai J Y, Lu W G, Li W D, Zhou R B, Tian S J. QTL mapping for fat and fatty acid composition contents in soybean. Acta Agron Sin, 2006, 32: 1823–1830 (in Chinese with English abstract) [7] 廖伯寿, 雷永, 王圣玉, 李栋, 黄家权, 姜慧芳, 任小平. 花生重组近交系群体的遗传变异与高油种质的创新. 作物学报, 2008, 34: 999–1004 Liao B S, Lei Y, Wang S Y, Li D, Huang J Q, Jiang H F, Ren X P. Genetic diversity of peanut RILs and enhancement for high oil genotypes. Acta Agron Sin, 2008, 34: 999–1004 (in Chinese with English abstract) [8] Hui Y H, 徐生度, 裘爱泳(译). 油脂化学与工艺学(第5版,第3卷). 北京: 中国轻工业出版社, 2001. pp 474–513 Hui Y H, Xu S D, Qiu A Y. Trans. Industrial Oil & Fat Products, 5th edn, Vol. 3. Beijing: China Light Industry Press, 2001. pp 474–513 (in Chinese) [9] 梅鸿献, 魏安池, 刘艳阳, 王春弘, 杜振伟, 郑永战. 芝麻种质资源芝麻素蛋白质脂肪含量变异及其相关分析. 中国油脂, 2013, 38(4): 87–90 Mei H X, Wei A C, Liu Y Y, Wang C H, Du Z W, Zheng Y Z. Variation and correlation analysis of sesamin, oil and protein contents in sesame germplasm resources. China Oils Fats, 2013, 38(4): 87–90 (in Chinese with English abstract) [10] 张秀荣, 李培武, 汪雪芳, 王旭. 芝麻种子木质素组分、粗脂肪、粗蛋白含量及相关性分析. 中国油料作物学报, 2005, 27: 88–90 Zhang X R, Li P W, Wang X F, Wang X. Studies on relationship among lignans, oil and protein content in sesame seed. Chin J Oil Crop Sci, 2005, 27: 88–90 (in Chinese with English abstract) [11] Wang L H, Zhang Y X, Li P W, Wang X F, Zhang W, Wei W L, Zhang X R. HPLC analysis of seed sesamin and sesamolin variation in a sesame germplasm collection in China. J Am Oil Chem Soc, 2012, 89: 1011–1020 [12] 金青哲, 刘元法, 王兴国, 戴洪平. 国产芝麻中芝麻素含量分析. 中国粮油学报, 2005, 20: 85–87 Jin Q Z, Liu Y F, Wang X G, Dai H P. Analysis of sesamin in domestic Sesamum indicum L. J Chin Cereals Oils Assoc, 2005, 20: 85–87 (in Chinese with English abstract) [13] 危文亮, 张艳欣, 吕海霞, 王林海, 黎冬华, 张秀荣. 芝麻资源群体结构及含油量关联分析. 中国农业科学, 2012, 45: 1895–1903 Wei W L, Zhang Y X, Lü H X, Wang L H, Li D H, Zhang X R. Population structure and association analysis of oil content in a diverse set of Chinese sesame (Sesamum indicum L.) germplasm. Sci Agric Sin, 2012, 45: 1895–1903 (in Chinese with English abstract) [14] 王蕾, 黎冬华, 齐小琼, 张艳欣, 丁霞, 王林海, 危文亮, 高媛, 张秀荣. 芝麻核心种质芝麻素和芝麻酚林的关联分析. 中国油料作物学报, 2014, 36: 32–37 Wang L, Li D H, Qi X Q, Zhang Y X, Ding X, Wang L H, Wei W L, Gao Y, Zhang X R. Association analysis of sesamin and sesamolin in the core sesame (Sesamum indicum L.) germplasm. Chin J Oil Crop Sci, 2014, 36: 32–37 (in Chinese with English abstract) [15] Wu K, Liu H Y, Yang M M, Tao Y, Ma H H, Wu W X, Zuo Y, Zhao Y Z. High-density genetic map construction and QTL analysis of grain yield-related traits in Sesame (Sesamum indicum L.) based on RAD-Seq techonology. BMC Plant Biol, 2014, 14: 274 [16] Schlotzhauer S D, Littell R C. SAS System for Elementary Statistical Analysis. SAS institute, Cary, North Carolina. 1997 [17] Wang S, Basten C J, Zeng Z B. Windows QTL cartographer version 2.5. Department of statistics, North Carolina State University, Raleigh, NC. 2006. (http://statgen.ncsu.edu/qtlcart/WQTLCart.htm) [18] Yang J, Hu C, Hu H, Yu R, Xia Z. QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations. Bioinformatics, 2008, 24: 721–723 [19] Churchill G A, Doerge R W. Empirical threshold values for quantitative trait mapping. Genetics, 1994, 138: 963–971 [20] Kamal-Eldin A, Appelqvist L A, Yousif G. Lignan analysis in seed oils from four Sesamum species: comparison of different chromatographic methods. J Oil Fat Ind, 1994, 71: 141–147 [22] Zhang S F, Ma C Z, Zhu J C, Wang J P, Wen Y C, Fu T D. Genetic analysis of oil content in Brassica napus L. using mixed model of major gene and polygene. Acta Genet Sin, 2006, 33: 171–180 [23] Zhao J Y, Becker H C, Zhang D Q, Zhang Y F, Ecke W. Oil content in a European × Chinese rape seed population QTL with additive and epistatic effects and their genotype-environment interactions. Crop Sci, 2005, 45: 51–59 [24] 马珍珍, 李加纳, Benjamin WITTKOP, Martin FRAUEN, 阎星颖, 刘列钊, 肖阳. 甘蓝型油菜籽粒含油量、蛋白质、纤维素及半纤维素含量QTL分析. 作物学报, 2013, 39: 1214–1222 Ma Z Z, Li J N, Wittkop B, Frauen M, Yan X Y, Liu L Z, Xiao Y. QTL Mapping for oil, protein, cellulose, and hemicellulose contents in seeds of Brassica napus L. Acta Agron Sin, 2013, 39: 1214–1222 (in Chinese with English abstract) [25] 戴维, 刘应泽, 郭世星, 蒋俊. 不同环境下甘蓝型油菜含油量的杂种优势及配合力分析. 西南农业学报, 2008, 21: 581–585 Dai W, Niu Y Z, Guo S X, Jiang J. Analysis of heterosis and combining ability in oil content in Brassica napus L. under different environments. Southwest China Agric Sci, 2008, 21: 581–585 (in Chinese with English abstract) [26] Si P, Rodney J M, Nick G, David W T. Influence of genotype and environment on oil and protein concentrations of canola (Brassica napus L.) across southern Australia. Aust J Agric Res, 2003, 54: 397–407 [27] 禹山林, 杨庆利, 潘丽娟, 薄文娜. 花生种子含油量的遗传分析. 植物遗传资源学报, 2009, 10: 453–456 Yu S L, Yang Q L, Pan L J, Bo W N. Genetic analysis for oil content of peanut seeds. J Plant Genet Resourc, 2009, 10: 453–456 (in Chinese with English abstract)

[1] HU Wen-Jing, LI Dong-Sheng, YI Xin, ZHANG Chun-Mei, ZHANG Yong. Molecular mapping and validation of quantitative trait loci for spike-related traits and plant height in wheat [J]. Acta Agronomica Sinica, 2022, 48(6): 1346-1356.
[2] YU Chun-Miao, ZHANG Yong, WANG Hao-Rang, YANG Xing-Yong, DONG Quan-Zhong, XUE Hong, ZHANG Ming-Ming, LI Wei-Wei, WANG Lei, HU Kai-Feng, GU Yong-Zhe, QIU Li-Juan. Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height [J]. Acta Agronomica Sinica, 2022, 48(5): 1091-1102.
[3] HUANG Li, CHEN Yu-Ning, LUO Huai-Yong, ZHOU Xiao-Jing, LIU Nian, CHEN Wei-Gang, LEI Yong, LIAO Bo-Shou, JIANG Hui-Fang. Advances of QTL mapping for seed size related traits in peanut [J]. Acta Agronomica Sinica, 2022, 48(2): 280-291.
[4] ZHANG Yan-Bo, WANG Yuan, FENG Gan-Yu, DUAN Hui-Rong, LIU Hai-Ying. QTLs analysis of oil and three main fatty acid contents in cottonseeds [J]. Acta Agronomica Sinica, 2022, 48(2): 380-395.
[5] ZHANG Bo, PEI Rui-Qing, YANG Wei-Feng, ZHU Hai-Tao, LIU Gui-Fu, ZHANG Gui-Quan, WANG Shao-Kui. Mapping and identification QTLs controlling grain size in rice (Oryza sativa L.) by using single segment substitution lines derived from IAPAR9 [J]. Acta Agronomica Sinica, 2021, 47(8): 1472-1480.
[6] LUO Lan, LEI Li-Xia, LIU Jin, ZHANG Rui-Hua, JIN Gui-Xiu, CUI Di, LI Mao-Mao, MA Xiao-Ding, ZHAO Zheng-Wu, HAN Long-Zhi. Mapping QTLs for yield-related traits using chromosome segment substitution lines of Dongxiang common wild rice (Oryza rufipogon Griff.) and Nipponbare (Oryza sativa L.) [J]. Acta Agronomica Sinica, 2021, 47(7): 1391-1401.
[7] HAN Yu-Zhou, ZHANG Yong, YANG Yang, GU Zheng-Zhong, WU Ke, XIE Quan, KONG Zhong-Xin, JIA Hai-Yan, MA Zheng-Qiang. Effect evaluation of QTL Qph.nau-5B controlling plant height in wheat [J]. Acta Agronomica Sinica, 2021, 47(6): 1188-1196.
[8] WANG Wu-Bin, TONG Fei, KHAN Mueen-Alam, ZHANG Ya-Xuan, HE Jian-Bo, HAO Xiao-Shuai, XING Guang-Nan, ZHAO Tuan-Jie, GAI Jun-Yi. Detecting QTL system of root hydraulic stress tolerance index at seedling stage in soybean [J]. Acta Agronomica Sinica, 2021, 47(5): 847-859.
[9] ZHOU Xin-Tong, GUO Qing-Qing, CHEN Xue, LI Jia-Na, WANG Rui. Construction of a high-density genetic map using genotyping by sequencing (GBS) for quantitative trait loci (QTL) analysis of pink petal trait in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 587-598.
[10] LI Shu-Yu, HUANG Yang, XIONG Jie, DING Ge, CHEN Lun-Lin, SONG Lai-Qiang. QTL mapping and candidate genes screening of earliness traits in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 626-637.
[11] TANG Jing-Quan, WANG Nan, GAO Jie, LIU Ting-Ting, WEN Jing, YI Bin, TU Jin-Xing, FU Ting-Dong, SHEN Jin-Xiong. Bioinformatics analysis of SnRK gene family and its relation with seed oil content of Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(3): 416-426.
[12] SHEN Wen-Qiang, ZHAO Bing-Bing, YU Guo-Ling, LI Feng-Fei, ZHU Xiao-Yan, MA Fu-Ying, LI Yun-Feng, HE Guang-Hua, ZHAO Fang-Ming. Identification of an excellent rice chromosome segment substitution line Z746 and QTL mapping and verification of important agronomic traits [J]. Acta Agronomica Sinica, 2021, 47(3): 451-461.
[13] MENG Jiang-Yu, LIANG Guang-Wei, HE Ya-Jun, QIAN Wei. QTL mapping of salt and drought tolerance related traits in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(3): 462-471.
[14] WANG Rui-Li, WANG Liu-Yan, LEI Wei, WU Jia-Yi, SHI Hong-Song, LI Chen-Yang, TANG Zhang-Lin, LI Jia-Na, ZHOU Qing-Yuan, CUI Cui. Screening candidate genes related to aluminum toxicity stress at germination stage via RNA-seq and QTL mapping in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(12): 2407-2422.
[15] LYU Guo-Feng, BIE Tong-De, WANG Hui, ZHAO Ren-Hui, FAN Jin-Ping, ZHANG Bo-Qiao, WU Su-Lan, WANG Ling, WANG Zun-Jie, GAO De-Rong. Evaluation and molecular detection of three major diseases resistance of new bred wheat varieties (lines) from the lower reaches of the Yangtze River [J]. Acta Agronomica Sinica, 2021, 47(12): 2335-2347.
Full text



No Suggested Reading articles found!