孙君明 - 国家南繁研究院

孙君明_副本.jpg

个人简介

孙君明，研究员，博士生导师，2005年获中国农业大学生物化学与分子生物学专业理学博士学位，1997年7月至今在中国农业科学院作物科学研究所工作，1999年8～9月赴美国伊里诺依斯州立大学开展大豆种质资源与生物技术的合作研究，2002～2003年赴波兰科学院植物遗传研究所进行有关植物抗性遗传的合作研，2005年7～8月赴日本九州国家农业研究中心开展大豆品质性状的合作研究，2016年至今作物遗传育种中心副主任，2018年至今北京国家大豆改良分中心主任，中国农村专业技术协会理事和大豆专业委员会主任委员，作物遗传育种中心学术委员会副主任委员，作物科学研究所研究生学位评定委员会委员，青岛农业大学兼职研究生导师，担任aBIOTHECH、Agronomy和Plants杂志客座编辑，长期担任Nature Communications、Biotechnology Advances、Plant Biotechnology Journal、Journal of Experimental Botany、Food Chemistry、The Crop Journal、Theoretical and Applied Genetics、Industrial Crops and Products和Journal of Agricultural and Food Chemistry等知名国际学术期刊审稿人，2022年入选“国家高层次人才特殊支持计划”科技创新领军人才，2018年入选农科英才领军人才，2010和2023年获所级“优秀共产党员”荣誉称号，2007年入选北京市新星计划A类人才，1999年获“庄巧生奖励基金” 奖励，Food Chemistry、Journal of Food Science和Journal of Integrative Agriculture等杂志优秀审稿人。

研究方向

大豆高产优质分子育种

主要科研项目

1. 农业生物育种重大项目：抗病虫高产大豆新品种设计与培育，2023-2025，主持;

2. 国家自然科学基金-国际（地区）合作与交流项目：GmDOF3.7转录因子调控大豆油脂积累的分子机制研究，2022-2024，主持;

3. 国家自然科学基金-面上上面：GmZFP7转录因子调控大豆异黄酮积累的分子机制，2023-2026, 主持;

4. 国家自然科学基金：调控大豆异黄酮合成相关转录因子基因克隆与功能验证，2017-2020年，主持;

5. 科技支撑计划子课题：黄淮海区夏大豆高产高效关键技术研究与示范，2014-2018年，主持;

6. 北京市科技计划课题：高油大豆优异新种质创制与突破性新品种选育，2016-2019年，主持;

7. 中国农科院创新工程：农科英才领军人才项目，2023-2027年，主持。

代表性论文

1. Feng Y, Zhang S, Li J,Pei R, Tian L, Qi J, Azam M,Agyenim-Boateng K G, Abdulwahab S S, Liu Y, Zhu Z, Li B*,Sun J*. Dual-function C2H2-type Zinc-finger transcription factor GmZFP7 contributes to isoflavone accumulation in soybean.New Phytologist, 2023, 237(5).

2. Zhang S, Abdelghany A M, Azam M, Qi J, Li J, Feng Y, Liu Y, Feng H, Ma C, Gebregziabher BS, Ghosh S, Agyenim-Boateng KG, Shaibu A S, Htway T P H, Wu, T, Li B*, Qiu L*,Sun J*. Mining candidate genes underlying seed oil content using BSA-seq in soybean.Industrial Crops and Products, 2023, 194: 116308.

3. Azam M, Zhang S, Huai Y, Abdelghany A, Shaibu A, Qi J, Feng Y, Liu Y, Li J, Qiu L, Li B*,Sun J*. Identification of genes for seed isoflavones based on bulk segregant analysis sequencing in soybean natural population.Theoretical and Applied Genetics, 2023, 136(1):1-12.

4. Agyenim-Boateng G K, Zhang S, Gu R, Zhang SB, Qi J, Azam M, Ma C, Li Y, Feng Y, Liu Y, Li J, Li B*, Qiu L*,Sun J*. Identification of quatitative trait loci and candidate genes for seed folate content in soybean.Theoretical and Applied Genetics, 2023, 136:149.

5. Agyenim-Boateng G K, Zhang S, Khattak A N, Shaibu A S, Abdelghany AM, Qi J,Azam M, Ma C, Feng Y, Liu Y, Li J, Li B*,Sun J*.The nutritional composition of the vegetable soybean (Maodou) and its potential in combating malnutrition.Frontiers in Nutrition, 2023, 9:1034115.

6. Azam M, Zhang S, Li J, Agyenim-Boateng K, Ahsan M, Qi J, Feng Y, Liu Y, Li B*, Qiu L*,Sun J*. Identification of hub genes regulating isoflavones accumulation in soybean seeds via GWAS and WGCNA approaches.Frontiers in Plant Science, 2023, 14: 1120498.

7. Gebregziabher B S, Zhang S, Azam M, Qi J, Agyenim-Boateng K G, Feng Y, Liu Y, Li J, Li B*,Sun J*.Natural variations and geographical distribution of seed carotenoids and chlorophylls in 1167 Chinese soybean accessions.Journal of Integrative Agriculture, 2023, https://doi.org/10.1016/j.jia.2022.10.011.

8. Agyenim-Boateng G K, Zhang S, Islam S, Gu Y, Li B, Azam M, Abdelghany AM, Qi J, Ghosh S, Shaibu AS, Gebregziabher B, Feng Y, Li J, Li Y, Zhang C, Qiu L, Liu Z*, Liang Q*,Sun J*. Profiling of naturally occurring folates in a diverse soybean germplasm by HPLC-MS/MS,Food Chemistry, 2022, 384: 132520.

9. Shaibu S A, Zhang S, Ma J, Feng Y, Huai Y, Qi J, Li J, Abdelghany M A, Azam M, Htway T P H,Sun J*, Li B*. The GmSNAP11 contributes to resistance to soybean cyst nematode race 4 in Glycine max.Frontiers in Plant Science, 2022, 13, 939763.

10. Qi J, Zhang S, Azam M, Shaibu A S, Abdelghany A M, Feng Y, Huai Y, Feng H, Liu Y, Ma C, Gebregziabher B S, Ghosh S, Li J, Li B*, Qiu L*,Sun J*. Profiling seed soluble sugar compositions in 1164 Chinese soybean accessions from major growing ecoregions.The Crop Journal, 2022, 10, 1825-1831.

11. Ghosh S, Zhang S, Azam M, Gebregziabher B S, Abdelghany A M, Shaibu A S, Qi J, Feng Y, Agyenim-Boateng K, Liu Y, Feng H, Li Y, Li J, Li B*,Sun J*. Natural variation of seed tocopherol composition in diverse world soybean accessions from maturity group 0 to VI grown in China.Plants, 2022, 11, 206.

12. Ghosh S, Zhang S, Azam M, Agyenim-Boateng KG, Qi J, Feng Y, Li Y, Li J, Li B*,Sun J*. Identification of genomic loci and candidate genes related to seed tocopherol content in soybean.Plants, 2022, 11(13):1703.

13. Gebregziabher BS, Zhang S, Ghosh S, Shaibu AS, Azam M, Abdelghany AM, Qi J, Agyenim-Boateng KG, Htway HTP, Feng Y, Ma C, Li Y, Li J, Li B*, Qiu L*,Sun J*. Origin, maturity group and seed coat color influence carotenoid and chlorophyll concentrations in soybean seeds.Plants, 2022, 11(7):848.

14. Azam M, Zhang S, Qi J, Abdelghany A M , Shaibu A S, Ghosh S, Feng Y, Huai Y, Gebregziabher B S, Li J, Li B,*,Sun J* Profiling and Associations of Seed Nutritional Characteristics in Chinese and USA Soybean Cultivars.Journal of Food Composition and Analysis, 2021, 98:103803.

15. Ghosh S, Zhang S, Azam M, Qi J, Abdelghany A M, Shaibu A S, Gebregziabher B S, Feng Y, Huai Y, Htway H, Agyenim-Boateng K, Liu Y, Feng H, Li J, Li B*,Sun J* Seed Tocopherol Assessment and Geographical Distribution of 1151 Chinese Soybean Accessions from Diverse Ecoregions.Journal of Food Composition and Analysis, 2021, 100:103932.

16. Azam M, Zhang S, Abdelghany M A,Shaibu S A, Feng, Y, Li Y, Tian Y, Hong H, Li B*,Sun J*. Seed isoflavone profiling of 1168 soybean accessions from major growing ecoregions in China.Food Research International, 2020, 130, 108957.

17. Abdelghany M A, Zhang S, Azam M, Shaibu S A, Feng, Y, Li Y, Tian Y, Hong H, Li B*,Sun J*. Profiling of seed fatty acid composition in 1025 Chinese soybean accessions from different ecoregions.The Crop Journal, 2020, 8(4): 635-644.

18. Shaibu A S, Li B*, Zhang S,Sun J*. Soybean cyst nematode resistance: Gene identification and breeding strategies.The Crop Journal, 2020, 8(6):892-904.

19. Zhang S, Li B, Chen Y, Shaibu A.S, Zheng H,Sun J*. Molecular-assisted distinctness and uniformity testing using SLAF-sequencing approach in soybean.Genes, 2020, 11(2), 175.

20. Pei R, Zhang J, Tian L, Zhang S, Han F, Yan S, Wang L, Li B*,Sun J*. Identification of novel QTL associated with soybean isoflavone content.The Crop Journal, 2018, 6: 244-252.

21. Li B, Fan S, Yu F, Chen Y, Zhang S, Han F, Yan S, Wang L,Sun J*. High-resolution mapping of QTL for fatty acid composition in soybean using specific-locus amplified fragment sequencing.Theoretical and Applied Genetics, 2017, 130(7), 1467-1479.

22. Ma L, Li B, Han F, Yan S, Wang L,Sun J*. Evaluation of the chemical quality traits of soybean seeds, as related to sensory attributes of soymilk.Food Chemistry, 2015, 173:694-701.

23. Li B, Tian L, Zhang J, Huang L, Han F, Yan S, Wang L, Zheng H* andSun J*. Construction of a high-density genetic map based on large-scale markers developed by specific length amplified fragment sequencing (SLAF-seq) and its application to QTL analysis for isoflavone content in Glycine max.BMC Genomics, 2014, 15:1086.

24. Li B,Sun J, Wang L, Zhao R, Wang L. Comparative analysis of gene expression profiling between resistant and susceptible varieties Infected with soybean cyst nematode race 4 in Glycine max.Journal of Integrative Agriculture, 2014,13(12): 2594-2607.

25. Sun J*, Irzykowski W, Jedryczka M and Han F, Analysis of the genetic structure of Sclerotinia sclerotiorum populations from different regions and host plants by RAPD markers.Journal of Integrative Plant Biology, 2005, 47(4): 385-395.

科技奖励及成果评价

1. 广适高产优质大豆新品种中黄13的选育与应用，2012年国家科技进步一等奖，第八完成人；

2. 广适应高产优质大豆新品种中黄13的选育与应用，2011年获北京市科技进步一等奖，第六完成人；

3. 高产高油广适大豆新品种中黄35的推广，2019年大连市科技进步三等奖，第二完成人;

4. 超高产高油广适大豆新品种中黄35的选育与应用，2015年辽宁省科技进步三等奖，第三完成人;

5. 大豆三类优异品质新种质创建，2000年获北京市科技进步三等奖，第二完成人;

6. 主持或参与审定的高产优质专用大豆新品种共35个，包括国审品种15个，省审品种20个，授权植物新品种权27项;

7. 中黄203，2023年国家审定，2018年北京市审定，审定编号：国审豆20231028，京审豆20180003，品种权号：CNA20171118.4，第一完成人;

8. 中黄78，2018年国家审定，2021年湖北审定，2022年安徽和江西引种审定，审定编号：国审豆20180019，品种权号：CNA20171120.0，第一完成人。

打印本页

关闭本页