General

Hengyou Zhang, PhD, Professor


Key Laboratory of Soybean Molecular Design and Breeding,

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
No.138 Haping Rd., Nangang Dist., Harbin 150081, China

Email: zhanghengyou@iga.ac.cn 


Research Areas

Molecular genetics and molecular breeding of soybean seed quality traits

Education

2011 Phd Nanjing Agricultural University

2005 BS Jilin Agricultural University

Experience

Work Experience

021.09 - present  Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Professor

2019.01 - 2021.08  Donald Danforth Plant Science Center, USA,  Postdoc/Research Scientist

2015.01 - 2018.12  University of North Carolina at Charlotte, USA, Postdoc

2012.07 - 2014.12  Oklahoma State University, USA, Postdoc

2011.08 - 2012.06  Jiangsu Academy of Agricultural Sciences, Assitant professor


Publications

   
Papers

  1. Wolfgang Goettel†, Hengyou Zhang†, He Jiang, Dianyun Hou, Qijian Song, Vincent R. Pantalone, Bao-Hua Song, Long Yan, Deyue Yu, Yong-qiang Charles An.  POWR1 is a key domestication gene pleiotropically regulating seed protein, oil, and seed weight. (Nature Communications, †co-first author,2022, accepted)
  2. Yang, Y.M., L. Wang, Z.J. Che, R.Y. Wang, R.F. Cui, H.Q. Xu, S.S. Chu, Y.Q. Jiao, H. Zhang, D.Y. Yu, and D. Zhang, Novel target sites for soybean yield enhancement by photosynthesis. Journal of Plant Physiology, 2022. 268.
  3. Wang, F., X. Sun, B. Liu, F. Kong, X. Pan, and H. Zhang, A polygalacturonase gene PG031 regulates seed coat permeability with a pleiotropic effect on seed weight in soybean. Theor Appl Genet, 2022.
  4. Liu, X.Q., Y.M. Yang, R.Y. Wang, R.F. Cui, H.Q. Xu, C.Y. Sun, J.S. Wang, H. Zhang, H.T. Chen, and D. Zhang, GmWRKY46, a WRKY transcription factor, negatively regulates phosphorus tolerance primarily through modifying root morphology in soybean. Plant Science, 2022. 315.
  5. Zhang, H., J. Huang, and Y.H. Huang, Identification and characterization of plant resistance genes (R genes) in sorghum and their involvement in plant defense against aphids. Plant Growth Regulation, 2022. 96(3): p. 443-461.
  6. Zhang, H., Z.B. Hu, Y.M. Yang, X.Q. Liu, H.Y. Lv, B.H. Song, Y.Q.C. An, Z.M. Li, and D. Zhang, Transcriptome profiling reveals the spatial-temporal dynamics of gene expression essential for soybean seed development. Bmc Genomics, 2021. 22(1).
  7. Kofsky, J., H. Zhang, and B.H. Song, Novel resistance strategies to soybean cyst nematode (SCN) in wild soybean. Scientific Reports, 2021. 11(1).
  8. Zhang, H., Y.M. Yang, C.Y. Sun, X.Q. Liu, L.L. Lv, Z.B. Hu, D.Y. Yu, and D. Zhang, Up-regulating GmETO1improves phosphorus uptake and use efficiency by promoting root growth in soybean. Plant Cell and Environment, 2020. 43(9): p. 2080-2094.
  9. Zhang, H., T. Mitchell-Olds, I. Mujacic, and B.H. Song, De novo Genome Assembly, Annotation, and SNP Identification of an Endangered Rockcress, Boechera fecunda. Frontiers in Ecology and Evolution, 2020. 8.
  10. Zhang, H., W. Goettel, Q.J. Song, H. Jiang, Z.B. Hu, M.L. Wang, and Y.Q.C. An, Selection of GmSWEET39 for oil and protein improvement in soybean. Plos Genetics, 2020. 16(11).
  11. Kofsky, J., H. Zhang, and B.H. Song, Genetic Architecture of Early Vigor Traits in Wild Soybean. International Journal of Molecular Sciences, 2020. 21(9).
  12. Hengyou Zhang, He Jiang, Zhenbin Hu, Qijian Song, Yong-qiang Charles An, Development of a versatile resource of 1500 diverse wild and cultivated soybean genomes for post-genomics research. 2020, BioRixv doi: https://doi.org/10.1101/2020.11.16.383950
  13. Yong-Qiang An, Hengyou Zhang, Rick Meyer*, Data from: Analysis and characterization of 1500 diverse genome sequences as a versatile resource for post-genomics research, 2020, Ag Data Commons – Online Database at USDA
  14. Zhang, H., F. Yasmin, and B.H. Song, Neglected treasures in the wild - legume wild relatives in food security and human health. Current Opinion in Plant Biology, 2019. 49: p. 17-26.
  15. Zhang, D., H. Zhang, Z.B. Hu, S.S. Chu, K.Y. Yu, L.L. Lv, Y.M. Yang, X.Q. Zhang, X. Chen, G.Z. Kan, Y. Tang, Y.Q.C.R.L. An, and D.Y. Yu, Artificial selection on GmOLEO1 contributes to the increase in seed oil during soybean domestication. Plos Genetics, 2019. 15(7).
  16. Zhang, H., C. Zuelsdorf, D. Penneys, S.J. Fan, J. Kofsky, and B.H. Song, Transcriptome profiling of a beach-adapted wild legume for dissecting novel mechanisms of salinity tolerance. Scientific Data, 2018. 5.
  17. Kofsky, J., H. Zhang, and B.H. Song, The Untapped Genetic Reservoir: The Past, Current, and Future Applications of the Wild Soybean (Glycine soja). Frontiers in Plant Science, 2018. 9.
  18. Hengyou Zhang, Shanshan Chu, Dan Zhang*, Transcriptome dataset of soybean (Glycine max) grown under phosphorus-deficient and -sufficient conditions, 2017, Data, 2 (2): 17
  19. Zhang, H., Q.J. Song, J.D. Griffin, and B.H. Song, Genetic architecture of wild soybean (Glycine soja) response to soybean cyst nematode (Heterodera glycines). Molecular Genetics and Genomics, 2017. 292(6): p. 1257-1265.
  20. Zhang, H., N. Mittal, L.J. Leamy, O. Barazani, and B.H. Song, Back into the wild-Apply untapped genetic diversity of wild relatives for crop improvement. Evolutionary Applications, 2017. 10(1): p. 5-24.
  21. Zhang, H.Y., S. Kjemtrup-Lovelace, C.B. Li, Y. Luo, L.P. Chen, and B.H. Song, Comparative RNA-Seq Analysis Uncovers a Complex Regulatory Network for Soybean Cyst Nematode Resistance in Wild Soybean (Glycine soja). Scientific Reports, 2017. 7.
  22. Zhang, H. and B.H. Song, RNA-seq data comparisons of wild soybean genotypes in response to soybean cyst nematode (Heterodera glycines). Genom Data, 2017. 14: p. 36-39.
  23. Zhang, D., H. Zhang, S.S. Chu, H.Y. Li, Y.J. Chi, D. Triebwasser-Freese, H.Y. Lv, and D.Y. Yu, Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress. Plant Molecular Biology, 2017. 93(1-2): p. 137-150.
  24. Zhang, D., H. Lu, S. Chu, H. Zhang, H. Zhang, Y. Yang, H. Li, and D. Yu, The genetic architecture of water-soluble protein content and its genetic relationship to total protein content in soybean. Sci Rep, 2017. 7(1): p. 5053.
  25. Leamy, L.J., H. Zhang, C.B. Li, C.Y. Chen, and B.H. Song, A genome-wide association study of seed composition traits in wild soybean (Glycine soja). Bmc Genomics, 2017. 18.
  26. Zhang, H., H.L. Yan, D. Zhang, and D.Y. Yu, Ectopic expression of a soybean SVP-like gene in tobacco causes abnormal floral organs and shortens the vegetative phase. Plant Growth Regulation, 2016. 80(3): p. 345-353.
  27. Zhang, H., C.Y. Li, E.L. Davis, J.S. Wang, J.D. Griffin, J. Kofsky, and B.H. Song, Genome-Wide Association Study of Resistance to Soybean Cyst Nematode (Heterodera glycines) HG Type 2.5.7 in Wild Soybean (Glycine soja). Frontiers in Plant Science, 2016. 7.
  28. Zhang, D., H.Y. Li, J.S. Wang, H. Zhang, Z.B. Hu, S.S. Chu, H.Y. Lv, and D.Y. Yu, High-Density Genetic Mapping Identifies New Major Loci for Tolerance to Low-Phosphorus Stress in Soybean. Frontiers in Plant Science, 2016. 7.
  29. Li, H.Y., Y.M. Yang, H. Zhang, S.S. Chu, X.G. Zhang, D.M. Yin, D.Y. Yu, and D. Zhang, A Genetic Relationship between Phosphorus Efficiency and Photosynthetic Traits in Soybean As Revealed by QTL Analysis Using a High-Density Genetic Map. Frontiers in Plant Science, 2016. 7.
  30. Zhang, H., D. Zhang, S. Han, X. Zhang, and D. Yu, Identification and gene mapping of a soybean chlorophyll-deficient mutant. Plant Breeding, 2011. 130(2): p. 133-138.
  31. Zhang, D., H. Cheng, H. Wang, H. Zhang, C. Liu, and D. Yu, Identification of genomic regions determining flower and pod numbers development in soybean (Glycine max L.). J Genet Genomics, 2010. 37(8): p. 545-56.
  32. Suoyi Han, Hengyou Zhang, Mali Yang, Tuanjie Zhao, Junyi Gai, Deyue Yu*, Screening of mutants and construction of mutant population in soybean" Nannong 86-4", 2007, Acta Agronomica Sinica, 332059-2062. (In Chinese with English Abstract, # Co-first author)