Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (07): 1096-1102.doi: 10.3724/SP.J.1006.2017.01096

• RESEARCH NOTES • Previous Articles    

Construction of New Genetic Map and Identification of QTLs Related to Agronomic Traits in Mung Bean

WANG Jian-Hua1,2,3,ZHANG Yao-Wen3,CHENG Xu-Zhen2,*,WANG Li-Xia2,*   

  1. 1 Shanxi University, Taiyuan 030006, China; 2 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China;3 Institute of Crop Sciences, Shanxi Academy of Agricultural Sciences, Taiyuan 030031, China
  • Received:2016-12-11 Revised:2017-03-02 Online:2017-07-12 Published:2017-03-19
  • Contact: 程须珍,E-mail: chengxuzhen@caas.cn, 王丽侠, E-mail:wanglixia03@caas.cn, Tel: 010-62180535 E-mail:986254540@qq.com
  • Supported by:

    This study was supported by the China Agriculture Research System (CARS-09) and the Agricultural Science and Technology Innovation Program of CAAS。

Abstract:

Two hundreds and eight individuals of F2 population, derived from a cross between two mung bean genotypes (Huaye 1 and Zijing 1) were used to construct genetic map, and to identify QTLs related to important agronomic traits. This genetic map contained 11 linkage groups with a total length of 1457.47 cM and an average interval of 15.34 cM. QTLs mapping was conducted for plant height, young stem color, main stem color, growth habit, podding habit, trilobate leaf shape and mature leaf color using composite interval mapping method. Only one QTL for each trait was detected including plant height, young stem color, main stem color and trilobate leaf shape, and with a contribution ranging from 8.49% to 66.64%. Three QTLs with high contribution rates from 60.32% to 80.36% were identified for the trait of pod habit in mung bean. Four QTLs related to mature leaf color showed at contribution rate from 69.06% to87.35%. There were 26 QTLs related to growth habit, the most of the tested QTLs, with a contribution rate each from 58.32% to 99.51%. The present QTLs for seven agronomic traits distributed on LG1, LG2, LG4, LG8, and LG10, respectively, could be used in molecular breeding based on marker-assisted selection in mung bean, and also lay a foundation for further study of the inheritance of these traits.

Key words: Mung bean, Genetic linkage map, SSR markers, Composite interval mapping(CIM), QTL, Contribution rate

[1] Kang Y J, Kim S K, Kim M Y. Genome sequence of mungbean and insights into evolution within Vigna species. Nat Commun, 2014, 11: 1–7 [2] Cantarel B L, Korf I, Robb S M, Parra G, Ross E, Moore B, Holt C, Sánchez Alvarado A, Yandell M. MAKER: an easy-to-use annotation pipeline designed for emerging model organism genomes. Genome Res, 2008, 18: 188–196 [3] 赵金荣, 王晓玲, 白羊年. 豆科植物比较基因组学研究进展. 海南生物技术研究与发展研讨会论文集, 海南三亚, 2006. pp 65–75 Zhao J R, Wang X L, Bai Y N. Advances in Comparative Genomics of Leguminous Plants. Hainan Biotechnology Research and Development Symposium, Sanya, China, 2006. pp 65–75 (in Chinese with English abstract) [4] Humphry M E, Magner T, McIntyre C L, Aitken E A B, Liu C J. Identification of a major locus conferring resistance to powdery mildew (Erysiphe polygoni DC) in mungbean (Vigna radiata L. Wilczek) by QTL analysis. Genome, 2003, 46: 738–744 [5] Reddy S K. Identification and inheritance of a new gene for powdery mildew resistance in mungbean (Vigna radiata L. Wilczek). Plant Breed, 2009, 128: 521–523 [6] Khajudparn P, Wongkaew S. Identification of genes for powdery mildew resistance in mungbean. J Life Sci, 2010, 4 [7] Chaitieng B, Kaga A, Han O K, Wang X W, Wongkaew S, Laosuwan P, Tomooka N, Vaughan D A. Mapping a new source of resistance to powdery mildew in mungbean. Plant Breed, 2002, 121: 521–525 [8] Young N D, Danesh D, Menancio-Hautea D, Kumar L. Mapping oligogenic resistance to powdery mildew in mungbean with RFLPs. Theor Appl Genet, 1993, 87: 243–249 [9] 梅丽, 素华, 王丽侠, 刘长友, 孙蕾, 徐宁. 重组近交系群体定位绿豆抗绿豆象基因. 作物学报, 2007, 33: 1601–1605 Mei L, Wang S H, Wang L X, Liu C Y, Sun L, Xu N. Mapping of genes resistant to Bruchid in mungbean using recombinant inbred lines population. Acta Agron Sin, 2007, 33: 1601–1605 (in Chinese with English abstract) [10] 赵丹, 程须珍, 王丽侠, 王素华, 马燕玲. 绿豆遗传连锁图谱的构建. 作物学报, 2010, 36: 932–939 Zhao D, Cheng X Z, Wang L X, Wang S H, Ma Y L. Integration of mungbean (Vigna radiata) genetic linkage map. Crop J, 2010, 36: 932–939 (in Chinese with English abstract) [11] 钟敏. 绿豆遗传连锁图谱的构建及抗豆象基因的精细定位. 中国农业科学院硕士学位论文, 北京, 2012 Zhong M. Construction of Genetic Linkage Map and Fine Mapping of Bruchid-resistant Gene (Br1) of Mungbean. MS Thesis of Chinese Academy of Agricultural Sciences, Beijing, China, 2012 (in Chinese with English abstract) [12] 吴传书, 王丽侠, 王素华等. 绿豆高密度分子遗传图谱的构建. 中国农业科学, 2014, 47: 2088–2098 Wu C S, Wang L X, Wang S H. Construction of a genetic linkage map in mungbean. Chin Agric Sci, 2014, 47: 2088–2098 (in Chinese with English abstract) [13] Wang D L, Zhu J, Li Z K, Paterson A H. Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor Appl Genet, 1999, 99: 1255?1264 [14] Yang J, Zhu J. Predicting superior genotypes in multiple environments based on QTL effects. Theor Appl Genet, 2005, 110: 1268?1274 [15] Wang L X, Baidouri M E, Abernathy B, Chen H L, Wang S H, Cheng X Z. Distribution and analysis of SSR in mung bean (Vigna radiata L.) genome based on an SSR-enriched library. Mol Breed, 2015, 35: 25, DOI 10.1007/s11032-015-0259-8 [16] Doyle J J, Doyle J L. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull, 1987, 19: 11–15 [17] 程须珍, 王素华, 王丽侠等. 绿豆种质资源描述规范和数据标准. 北京: 中国农业出版社, 2006. pp 3–38 Cheng X Z, Wang S H, Wang L X. Descriptors and Data Standard for Mungbean. Beijing: China Agriculture Press, 2006. 3–38 (in Chinese with English abstract) [18] Menancio-Hautea C A, Fatokun L, Kumar D, Danesh N D. Young, Comparative genome analysis of mungbean (Vigna radiata L. Wilczek) and cowpea (V. unguiculata L. Walpers) using RFLP mapping data. Theor Appl Genet, 1993, 86: 797–810 [19] Lambrides D J, Lawn R J, Godwin I D, Manners J, Imrie B C. Two genetic linkage maps of mungbean using RFLP and RAPD markers. Aust J Agric Res, 2000, 51: 415–425 [20] Hautea D M, Legume I. Molecular mapping of drought resistance in mungbean [Vigna radiata (L.) Wilczek]: 1. Linkage map in mungbean using AFLP markers, J. Bioteknologi Pertanian, 2002: 7: 17–24 [21] Wang L X, Wu C S. Construction of an integrated map and location of a bruchid resistance gene in mung bean. Crop J, 2016, 4: 360–366 [22] Humphry M E, Konduri V, Lambrides C J, Magner T, Mc Intyre C L, Aitken E.A.B, et al. Development of a mungbean (Vigna radiata) RFLP linkage map and its comparison with lablab (Lablab purpureus) reveals a high level of colinearity between the two genomes. Theor Appl Genet, 2002, 105: 160–166 [23] 梅丽. 绿豆抗豆象、种子硬实及其他重要农艺性状的QTL分析. 中国农业科学院硕士学位论文, 北京, 2007 Mei L. QTL Analysis of Bruchid Resistance, Seed Dormancy and Other Important Agronomic Traits in Mungbean. MS Thesis of Chinese Academy of Agricultural Sciences, Beijing, China, 2007 (in Chinese with English abstract) [24] Jiao K Y, Li X, Guo W X, Yuan X X, Cui X Y, Chen X. Genome re-sequencing of two accessions and fine mapping the locus of lobed leaflet margins in mungbean. Mol Breed, 2016, 36: 128

[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] DANG Ke, GONG Xiang-Wei, LYU Si-Ming, ZHAO Guan, TIAN Li-Xin, JIN Fei, YANG Pu, FENG Bai-Li, GAO Xiao-Li. Effects of nitrogen application rate on photosynthetic characteristics and yield of mung bean under the proso millet and mung bean intercropping [J]. Acta Agronomica Sinica, 2021, 47(6): 1175-1187.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[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.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!