Identification of QTL underlying soybean agglutinin content in soybean seeds and analysis for epistatic effects among multiple genetic backgrounds and environments

文献类型： 外文期刊

第一作者： Yang, M. -L.

作者： Yang, M. -L.;Li, H. -Y.;Sui, M. -N.;Wang, J. -A.;Ding, J. -J.

作者机构：

关键词： soybean;soybean agglutinin content;quantitative trait locus (QTL);epistatic effect;multiple genetic backgrounds and environments

期刊名称：CANADIAN JOURNAL OF PLANT SCIENCE （ 影响因子：1.018； 五年影响因子：1.242 ）

ISSN： 0008-4220

年卷期： 2017 年 97 卷 4 期

页码：

收录情况： SCI

摘要： Soybean agglutinin (SBA), a major anti-nutritional factor in soybeans, seriously affects the safety of and effects on feed animals. Soybean varieties with lower SBA contents could play a positive role in the promotion of the fodder industry. In the present study, one male parent, Hefeng 45, was used in three recombinant I bred line (RIL) populations to detect quantitative trait loci (QTL) associated with SBA content across three different environments. As a result, a total of six, six, and four QTL related to SBA content were identified in the groups Hefeng 45 x Zhongdou 27 (HZ), Hefeng 45 x Dongnong 48 (HD), and Hefeng 45 x Taipingchuan Blacksoy (HT), respectively. Most of the QTL underlying SBA explained less than 10% of the phenotypic variation, but some major QTL with higher additive effects have stable expressions across different environments and RIL populations. On the contrary, many QTL dependent on the environment or RIL populations showed mainly weak effects, and gene x environment interaction occurred in the opposite direction to additive effects and (or) epistasis effects. Two (SbaHZC1-1 and SbaHZD1b-1, linked to Satt139 and Satt189, respectively) and one (SbaHDD1a-1, linked to Satt402) QTL for SBA were identified in HZ and HD populations, respectively, across three environments. Those QTL (Satt139 and Satt189) might have potential in the application of marker-assisted selection for low agglutinin content soybean.

分类号：

  • 相关文献

[1]Analysis of additive and epistatic quantitative trait loci underlying fatty acid concentrations in soybean seeds across multiple environments. Fan, Shengxu,Li, Bin,Yu, Fukuan,Han, Fenxia,Yan, Shurong,Wang, Lianzheng,Sun, Junming.

[2]Epistatic and QTLxenvironment interaction effects on leaf area-associated traits in maize. Wei, Xiaomin,Wang, Xiaobo,Zhou, Jinlong,Shi, Yong,Wang, Huitao,Dou, Dandan,Song, Xiaoheng,Li, Guohui,Ku, Lixia,Chen, Yanhui,Wei, Xiaomin,Wang, Xiaobo,Zhou, Jinlong,Shi, Yong,Wang, Huitao,Dou, Dandan,Song, Xiaoheng,Li, Guohui,Ku, Lixia,Chen, Yanhui,Wei, Xiaomin,Guo, Shulei.

[3]Detection of epistatic and environmental interaction QTLs for leaf orientation-related traits in maize. Shi, Yong,Wang, Xiaobo,Guo, Shulei,Ren, Zhenzhen,Ku, Lixia,Zhu, Yuguang,Li, Guohui,Ren, Zhaobin,Chen, Yanhui,Shi, Yong,Wang, Xiaobo,Guo, Shulei,Ren, Zhenzhen,Ku, Lixia,Zhu, Yuguang,Li, Guohui,Ren, Zhaobin,Chen, Yanhui,Qi, Jianshuang,Zhang, Xin.

[4]QTL mapping for flowering time in different latitude in soybean. Lu, Sijia,Wang, Jialin,Nan, Haiyang,Cao, Dong,Li, Xiaoming,Fang, Chao,Shi, Xinyi,Yuan, Xiaohui,Feng, Xianzhong,Liu, Baohui,Kong, Fanjiang,Lu, Sijia,Li, Xiaoming,Fang, Chao,Shi, Xinyi,Li, Ying,Srinives, Peerasak,Wang, Yanping,Li, Jinliang,Watanabe, Satoshi,Abe, Jun.

[5]Genome-Wide Discovery of Microsatellite Markers from Diploid Progenitor Species, Arachis duranensis and A. ipaensis, and Their Application in Cultivated Peanut (A. hypogaea). Zhao, Chuanzhi,Qiu, Jingjing,Wang, Jiangshan,Ren, Xuezhen,Xia, Han,Wan, Shubo,Wang, Xingjun,Zhao, Chuanzhi,Qiu, Jingjing,Wang, Jiangshan,Ren, Xuezhen,Xia, Han,Wan, Shubo,Wang, Xingjun,Qiu, Jingjing,Ma, Changle,Wang, Xingjun,Agarwal, Gaurav,Guo, Baozhu,Agarwal, Gaurav,Varshney, Rajeev K.,Pandey, Manish K.,Bertioli, David J.. 2017

[6]Genetic Dissection of Novel QTLs for Resistance to Leaf Spots and Tomato Spotted Wilt Virus in Peanut (Arachis hypogaea L.). Pandey, Manish K.,Wang, Hui,Khera, Pawan,Guo, Baozhu,Pandey, Manish K.,Khera, Pawan,Vishwakarma, Manish K.,Kale, Sandip M.,Varshney, Rajeev K.,Pandey, Manish K.,Wang, Hui,Khera, Pawan,Culbreath, Albert K.,Guo, Baozhu,Holbrook, C. Corley,Wang, Xingjun. 2017

[7]Novel pleiotropic loci controlling panicle architecture across environments in japonica rice (Oryza sativa L.). Guo, Yuan,Hong, Delin,Guo, Yuan. 2010

[8]QTL mapping for the paste viscosity characteristics in rice (Oryza sativa L.). Bao, JS,Zheng, XW,Xia, YW,He, P,Shu, QY,Lu, X,Chen, Y,Zhu, LH. 2000

[9]Haplotype, molecular marker and phenotype effects associated with mineral nutrient and grain size traits of TaGS1 a in wheat. Guo, Ying,Sun, Jinjie,Zhang, Guizhi,Wang, Yingying,Kong, Fanmei,Zhao, Yan,Li, Sishen,Guo, Ying,Wang, Yingying. 2013

[10]Three QTLs from Lycopersicon peruvianum confer a high level of resistance to Clavibacter michiganensis ssp michiganensis. van Heusden, AW,Koornneef, M,Voorrips, RE,Bruggemann, W,Pet, G,Vrielink van Ginkel, R,Chen, X,Lindhout, P. 1999

[11]A novel functional gene associated with cold tolerance at the seedling stage in rice. Zhao, Junliang,Zhang, Shaohong,Dong, Jingfang,Yang, Tifeng,Mao, Xingxue,Liu, Qing,Wang, Xiaofei,Liu, Bin,Zhao, Junliang,Zhang, Shaohong,Dong, Jingfang,Yang, Tifeng,Mao, Xingxue,Liu, Qing,Wang, Xiaofei,Liu, Bin. 2017

[12]Identification of QTLs for cold tolerance at seedling stage in rice (Oryza sativa L.) using two distinct methods of cold treatment. Zhang, Shaohong,Liu, Bin,Zhao, Junliang,Wang, Xiaofei,Yang, Tifeng,Huang, Zhanghui,Zheng, Jingsheng,Peng, Shaobing,Leung, Hei. 2014

[13]Identification and validation of a novel major QTL for harvest index in rice (Oryza sativa L.). Zhang, Shaohong,He, Xiuying,Zhao, Junliang,Cheng, Yongsheng,Chen, Yuehan,Yang, Tifeng,Dong, Jingfang,Wang, Xiaofei,Liu, Qing,Liu, Wei,Mao, Xingxue,Fu, Hua,Chen, Zhaoming,Liao, Yaoping,Liu, Bin,Zhang, Shaohong,He, Xiuying,Zhao, Junliang,Cheng, Yongsheng,Chen, Yuehan,Yang, Tifeng,Dong, Jingfang,Wang, Xiaofei,Liu, Qing,Liu, Wei,Mao, Xingxue,Fu, Hua,Chen, Zhaoming,Liao, Yaoping,Liu, Bin,Xie, Zhimei,Xie, Zhimei. 2017

[14]Identification of QTLs for seedling vigor in winter wheat. Li, Xing-Mao,Wang, Hua-Jun,Li, Xing-Mao,Chen, Xin-Min,Xiao, Yong-Gui,Xia, Xian-Chun,Wang, De-Sen,He, Zhong-Hu,Li, Xing-Mao,He, Zhong-Hu.

[15]Both major and minor QTL associated with plant height can be identified using near-isogenic lines in maize. Ding, Xiaoyu,Liu, Zhizhai,Ding, Xiaoyu,Wu, Xun,Chen, Lin,Li, Chunhui,Shi, Yunsu,Song, Yanchun,Zhang, Dengfeng,Wang, Tianyu,Li, Yu,Li, Yong-Xiang,Wu, Xun.

[16]Genetic dissection of silicon uptake ability in rice (Oryza sativa L.). Wu, Q. -S.,Wan, X. -Y.,Su, N.,Cheng, Z. -J.,Wang, J. -K.,Lei, C. -L.,Zhang, X.,Jiang, L.,Ma, J. -F.,Wan, J. -M..

[17]Length of internode and spike: how do they contribute to plant height of wheat at an individual QTL level?. Wang, L.,Cui, F.,Ding, A. M.,Li, J.,Zhao, C. H.,Li, X. F.,Feng, D. S.,Wang, H. G.,Wang, L.,Wang, J. P.,Cui, F.,Ding, A. M.,Li, J..

[18]Identification of Quantitative Trait Loci (QTLs) for Flowering Time Using SSR Marker in Maize under Water Stress. Xiao, YN,Li, XH,Zhang, SH,Wang, XD,Li, MS,Zheng, YL.

[19]Identification of salt-tolerant QTLs with strong genetic background effect using two sets of reciprocal introgression lines in rice. Cheng, Lirui,Wang, Yun,Meng, Lijun,Hu, Xia,Cui, Yanru,Sun, Yong,Zhu, Linghua,Xu, Jianlong,Li, Zhikang,Wang, Yun,Ali, Jauhar,Li, Zhikang.

[20]Potassium (K) effects and QTL mapping for K efficiency traits at seedling and adult stages in wheat. Kong, Fan-Mei,Guo, Ying,Liang, Xue,Wu, Chun-Hong,Wang, Ying-Ying,Zhao, Yan,Li, Si-Shen,Guo, Ying,Wang, Ying-Ying.

作者其他论文 更多>>

微信小程序