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] Zheng Yu-Zhen, Qi Fei-Yan, Sun Zi-Qi, Liu Hua, Qin Li, Shi Lei, Wang Juan, Wang Meng-Meng, Han Suo-Yi, Xu Jing, Miao Li-Juan, Huang Bing-Yan, Dong Wen-Zhao, Zheng Zheng, Zhang Xin-You. QTL mapping of total very long-chain fatty acids and seven fatty acid components in peanut seeds [J]. Acta Agronomica Sinica, 2026, 52(6): 1646-1657.
[2] Liu Chang-You, Wang Shen, Shi Hui-Ying, Shen Ying-Chao, Sun Lei, Wang Yan, Zhang Zhi-Xiao, Su Qiu-Zhu, Tian Jing, Fan Bao-Jie. QTL mapping for bruchid resistance in an adzuki bean distant hybridization population using rice bean genetic resources [J]. Acta Agronomica Sinica, 2026, 52(3): 936-944.
[3] Li Shi-Qing, Wang Qian, Wang Su-Hua, Zhang Yao-Wen, Wang Li-Xia. Evaluation of salt tolerance at the seedling stage and related gene mining in mung bean germplasm resources [J]. Acta Agronomica Sinica, 2026, 52(2): 376-388.
[4] ZHANG Fei-Fei, HE Wan-Long, JIAO Wen-Juan, BAI Bin, GENG Hong-Wei, CHENG Yu-Kun. Meta-analysis of stripe rust resistance-associated traits and candidate gene identification in wheat [J]. Acta Agronomica Sinica, 2025, 51(8): 2111-2127.
[5] HU Meng, SHA Dan, ZHANG Sheng-Rui, GU Yong-Zhe, ZHANG Shi-Bi, LI Jing, SUN Jun-Ming, QIU Li-Juan, LI Bin. QTL mapping and candidate gene screening for branch number in soybean [J]. Acta Agronomica Sinica, 2025, 51(7): 1747-1756.
[6] SHAO Shun-Wei, CHEN Zhuo, LAN Zhen-Dong, CAI Xing-Kui, ZOU Hua-Fen, LI Chen-Xi, TANG Jing-Hua, ZHU Xi, ZHANG Yu, DONG Jian-Ke, JIN Hui, SONG Bo-Tao. QTL mapping of tuber eye depth based on BSA-seq technique [J]. Acta Agronomica Sinica, 2025, 51(7): 1725-1735.
[7] YANG Hai-Yang, WU Lin-Xuan, LI Bo-Wen, SHI Han-Feng, YUAN Xi-Long, LIU Jin-Zhao, CAI Hai-Rong, CHEN Shi-Yi, GUO Tao, WANG Hui. OsWRI3, identified based on QTL mapping, regulates seed shattering in rice [J]. Acta Agronomica Sinica, 2025, 51(7): 1712-1724.
[8] GUO Dong-Cai, LYU Tao, CAI Yong-Sheng, MAI WU-LU-DA·AI He-Mai-Ti, CHEN Quan-Jia, QU Yan-Ying, ZHENG Kai. Meta-analysis of QTL and identification of candidate genes for fiber quality in cotton [J]. Acta Agronomica Sinica, 2025, 51(6): 1445-1466.
[9] ZHANG Jin-Ze, ZHOU Qing-Guo, XIAO Li-Jing, JIN Hai-Run, OU-YANG Qing-Jing, LONG Xu, YAN Zhong-Bin, TIAN En-Tang. QTL mapping and candidate gene analysis of glucosinolate content in various tissues of Brassica juncea [J]. Acta Agronomica Sinica, 2025, 51(5): 1166-1177.
[10] LIN Wei-Jin, GUO Ze-Jia, LIU Hao, LI Hai-Fen, WANG Run-Feng, HUANG Lu, YU Qian-Xia, CHEN Xiao-Ping, HONG Yan-Bin, LI Shao-Xiong, LU Qing. QTL mapping and candidate gene analysis of peanut pod yield-related traits [J]. Acta Agronomica Sinica, 2025, 51(4): 969-981.
[11] WANG Xiao-Lin, LIU Zhong-Song, KANG Lei, YANG Liu. Mapping of silique length and seeds per silique and transcriptome profiling of pod walls in Brassica napus L. [J]. Acta Agronomica Sinica, 2025, 51(4): 888-899.
[12] YONG Rui, HU Wen-Jing, WU Di, WANG Zun-Jie, LI Dong-Sheng, ZHAO Die, YOU Jun-Chao, XIAO Yong-Gui, WANG Chun-Ping. Identification and validation of quantitative trait loci for grain number per spike showing pleiotropic effect on thousand grain weight in bread wheat (Triticum aestivum L.) [J]. Acta Agronomica Sinica, 2025, 51(2): 312-323.
[13] HU Peng-Ju, GUO Song, SONG Ya-Hui, JIN Xin-Xin, SU Qiao, YANG Yong-Qing, WANG Jin. Genetic and QTL mapping analysis of oil content in peanut across multiple environments [J]. Acta Agronomica Sinica, 2025, 51(2): 324-333.
[14] GUO Shu-Hui, PAN Zhuan-Xia, ZHAO Zhan-Sheng, YANG Liu-Liu, HUANG-FU Zhang-Long, GUO Bao-Sheng, HU Xiao-Li, LU Ya-Dan, DING Xiao, WU Cui-Cui, LAN Gang, LYU Bei-Bei, TAN Feng-Ping, LI Peng-Bo. Genetic analysis of a major fiber length locus on chromosome D11 of upland cotton [J]. Acta Agronomica Sinica, 2025, 51(2): 383-394.
[15] WANG Zhe, HU Yan-Ling, GONG Fang-Yi, YI Rui, ZHAO Shu-Hong, LIU Rui-Qin, LIU Yu-Hang, ZHANG Tian, ZHANG Ya-Zhou, ZHENG You-Liang, LIU Deng-Cai, HUANG Lin, WU Bi-Hua. QTL mapping of grain protein content in the introgression line BAd7-209 derived from wild emmer [J]. Acta Agronomica Sinica, 2025, 51(12): 3238-3250.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!