1. Research Area and Contribution

Dr. Sun obtained his Ph.D. in Biochemistry and Molecular Biology from China Agriculture University, Beijing, China. Currently, Dr. Sun is a Professor at the Institute of Crop Sciences, CAAS. He mainly focuses on seed biochemistry quality analysis and molecular marker assisted selection for soybean breeding on yield, quality, and resistant characters, including protein and oil content, fatty acid, trypsin inhibitor, lipoxygenase, isoflavone, protein subunits, oligosaccharide, vitamin E, vitamin A, folate acid, resistance of Sclerotinia sclerotiorum and soybean cyst nematodes characters in soybean. He has published over 80 peered reviewed articles, 6 book chapters, and edited a book. He has released 35 soybean cultivars in China and won a National First Prize of Science and Technology Progress of China in 2012.

1.1. Education

1.2. Research Experience

1.3. Prizes and Awards

1.4. Released Soybean Varieties

1.5. Professional Societies

1.6. Selected Publications

（^#co-first author, *corresponding author）

1. Agyenim-Boateng KG, Zhang S, Shohag MJI, Shaibu AS, Li J, Li B, Sun J^*. Folate biofortification in soybean: challenges and prospects. Agronomy, 2023, 13(1):241. https://doi.org/10.3390/agronomy13010241.
2. 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. doi: 10.3389/fnut.2022.1034115.
3. 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, 2022, 18610. DOI:1111/nph.18610.
4. 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, 2022, https://doi.org/10.1016/j.jia.2022.10.011.
5. 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. DOI: 10.3389/fpls.2022.939763.
6. 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^*, Sun J^*. Profiling seed soluble sugar compositions in 1164 Chinese soybean accessions from major growing ecoregions. The Crop Journal, 2022, 2022, 10: 1825-1831. https://doi.org/10.1016/j.cj.2022.04.015.
7. 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. https://doi.org/10.3390/plants11070848.
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. https://doi.org/10.1016/j.foodchem.2022.132520.
9. Li J, Luo G, Shaibu AS, Li B, Zhang S, Sun J^*. Optimal fertilization level for yield, biological and quality traits of soybean under drip irrigation system in the arid region of Northwest China.Agronomy, 2022; 12(2):291. https://doi.org/10.3390/agronomy12020291.
10. 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. https://doi.org/10.3390/plants11020206.
11. Azam M^#, Zhang S^#, Qi J^#, Abdelghany M A^#, Shaibu S A, Ghosh S, Feng Y, Huai Y, Gebregziabher S B, 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. https://doi.org/10.1016/j.jfca.2021.103803
12. Abdelghany A.M^#, Zhang S^#, Azam M, Shaibu AS, Feng Y, Qi J, Li J, Li Y, Tian Y, Hong H, Lamlom SF, Li B^*, Sun J^*. Exploring the phenotypic stability of soybean seed compositions using multi-trait stability index approach. Agronomy,2021, 11, https://doi.org/10.3390/agronomy11112200.
13. 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. https://doi.org/10.1016/j.jfca.2021.103932.
14. Gebregziabher BS^#, Zhang S^#, Qi J, Azam M, Ghosh S, Feng Y, Huai Y, Li J, Li B^*, Sun J^*. Simultaneous determination of carotenoids and chlorophylls by the HPLC-UV-VIS method in soybean seeds. Agronomy. 2021; 11(4):758. https://doi.org/10.3390/agronomy11040758.
15. 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. https://doi.org/10.1016/j.jfca.2021.103803.
16. 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. https://doi.org/10.1016/ j.cj.2020.03.001.
17. 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. doi:10.3390/genes11020175.
18. 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, 2020, 130, 108957. doi:10.1016/j.foodres.2019. 108957.
19. Abdelghany A M^#; Zhang S^#; Azam M; Shaibu A S; Feng Y; Qi J; Li Y; Tian Y; Hong H; Li B^*; Sun J^*. Natural variation in fatty acid composition of diverse world soybean germplasms grown in Agronomy, 2020, 10, 24. doi:10.3390/agronomy10010024.
20. 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 1,025 Chinese soybean accessions from different ecoregions. The Crop Journal, 2020, 8(4): 635-644. doi:10.1016/j.cj.2019.11.002.
21. 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.
22. 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.
23. 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, 73: 694-701.
24. Fan S^#, Li B^#, Yu F, Han F, Yan S, Wang L, Sun J^*. Analysis of additive and epistatic quantitative trait loci (QTLs) underlying fatty acid components in soybean seeds across multiple environments, Euphytica, 2015, 206:689-700.
25. Li B^#, Tian L^#, Zhang J^#, Huang L^#, Han F, Yan S, Wang L, Zheng H, Sun 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.
26. Zhang J, Ge Y, Han F, Li B, Yan S, Sun J^*, Wang L. Isoflavone content of soybean cultivars from maturity group 0 to VI grown in northern and southern China. Journal of the American Oil Chemists' Society, 2014, 91:1019-1028.
27. 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: 2594-2607.
28. 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 random amplified polymorphic DNA markers, Journal of Integrative Plant Biology, 2005, 47: 385-

1.7. Patents

1. Junming Sun, Shengrui Zhang, Bin Li, Abdelghany A.M, Yitian Liu, Jing Li. A molecular marker, Oil-4-3776551, kit, and method to identify oil content in soybean. Patent number: X, 2022.09, China.
2. Junming Sun, Shengrui Zhang, Bin Li, Abdelghany A.M, Yitian Liu, Jing Li. A molecular marker, Oil-11-6708663, kit, and method to identify oil content in soybean. Patent number:2, 2022.06, China.
3. Junming Sun, Bin Li, Shengxu Fan, Fenxia Han, Shurong Yan, Lianzheng Wang. A molecular marker of Indel associated with unsaturated fatty acids in soybean. Patent number: ZL201510368770.6, 2018, China.
4. Junming Sun, Bin Li, Shengxu Fan, Fenxia Han, Shurong Yan, Lianzheng Wang. A GC method for the determination of fatty acid components in soybean seeds. Patent number: ZL201510369719.7, 2017, China.
5. Anlin Ding and Junming Sun. Method of breeding and cultivation of soybean variety with higher or lower isoflavone content. Patent number: ZL98120604.2, 2002, China.

1.8. References

Web of Science ResearcherID：AAC-7857-2019

ORCID iD：https://orcid.org/0000-0002-5585-0016

Scopus Author ID: 56072822200

Websites & Social Links：^[1]