Principal Investigator,Professor : Genome mining; Bioinformatics research

Hu Songnian
Address:Institute of Microbiology, Chinese Academy of Sciences, No.1 West Beichen Road, Chaoyang District, Beijing 100101, P. R. China
Telephone/fax:010-64806939
E-mail:husn@im.ac.cn
Research Interests

Development of metagenomic technologies and methods for analyzing microbial communities.

  • ● Single-cell metagenomic detection and library construction technology for precision sampling in microbial resource.

  • ● Precision medicine analysis toolkit for better understanding of the correlation between metabolism network, colony evolution and the clinical phenotypes.

Construction of comprehensive bioinformatic platform for microbial multi-omics data.

  • ● Microbial genomics comprehensive analysis platform for multi-source omics data from human, animals and plants.

  • ● Tracking database for metadata of samples and workflows, which enables long-term tracking and multidimensional comparison.

Bioinformatic datamining and utilizing of microbial genome resources.

  • ● Discovery of important genes and functional elements from microbial genome resources.
  • ● Identification and characterization of new functions of genes and elements, analysis of the evolution and genetics of these elements.
  • ● Supply of genomic knowledgebase for synthetic biology, genome editing and genome engineering.
Education/degrees
Jul. 1991: B.S. in Food Engineering, Tianjin University of Commerce, Tianjin, China
Jul. 1996: Ph.D. in Plant Biochemistry, China Agricultural University, Beijing, China
Work experience
1996-1999: Assistant Professor, Institute of Basic Medical Sciences, CAMS, China
1998-1999: Senior Fellow, Genome Center, University of Washington, USA.
1999-2002: Chief Engineer, Beijing Genomics Institute, China
2002-2004: Director, Hangzhou Genomics Institute, China
2004-2019: Professor for Beijing Institute of Genomics, CAS, China
2006-2019: Deputy Director for CAS Key Laboratory of Genome Sciences and Information, CAS, China
Since 2019: Professor for Institute of Microbiology, CAS, China
The main research areas
Genome mining; Bioinformatics research
Publication

1. Li, C., Song, W., Luo, Y., Gao, S., Zhang, R., Shi, Z., Wang, X., Wang, R., Wang, F., Wang, J., Zhao, Y., Su, A., Wang, S., Li, X., Luo, M., Wang, S., Zhang, Y., Ge, J., Tan, X., Yuan, Y., Bi, X., He, H., Yan, J., Wang, Y., Hu, S*. & Zhao, J. The HuangZaoSi maize genome provides insights into genomic variation and improvement history of maize. Molecular Plant12, 402-409, doi:10.1016/j.molp.2019.02.009 (2019).

2. Subramanian, B., S. Gao, M. J. Lercher, S. Hu* and W. H. Chen*, Evolview v3: a webserver for visualization, annotation, and management of phylogenetic trees. Nucleic Acids Res, 2019. 47(W1): p. W270-W275.

3. Tang, C*., M. Yang, Y. Fang, Y. Luo, S. Gao, X. Xiao, Z. An, B. Zhou, B. Zhang, X. Tan, H. Y. Yeang, Y. Qin, J. Yang, Q. Lin, H. Mei, P. Montoro, X. Long, J. Qi, Y. Hua, Z. He, M. Sun, W. Li, X. Zeng, H. Cheng, Y. Liu, J. Yang, W. Tian, N. Zhuang, R. Zeng, D. Li, P. He, Z. Li, Z. Zou, S. Li, C. Li, J. Wang, D. Wei, C. Q. Lai, W. Luo, J. Yu, S. Hu* and H. Huang*, The rubber tree genome reveals new insights into rubber production and species adaptation. Nat Plants, 2016. 2(6): p. 16073.

4. Wang, S., Wang, S., Luo, Y., Xiao, L., Luo, X., Gao, S., Dou, Y., Zhang, H., Guo, A., Meng, Q., Hou, J., Zhang, B., Zhang, S., Yang, M., Meng, X., Mei, H., Li, H., He, Z., Zhu, X., Tan, X., Zhu, X.-Q., Yu, J., Cai, J., Zhu, G., Hu, S*. & Cai, X. Comparative genomics reveals adaptive evolution of Asian tapeworm in switching to a new intermediate host. Nature communications7, 12845, doi:10.1038/ncomms12845 (2016).

5. He, Z., H. Zhang, S. Gao, M. J. Lercher, W. H. Chen* and S. Hu*Evolview v2: an online visualization and management tool for customized and annotated phylogenetic trees. Nucleic Acids Res, 2016. 44(W1): p. W236-41.

6. Dai, X., Y. Tian, J. Li, Y. Luo, D. Liu, H. Zheng, J. Wang, Z. Dong, S. Hu* and L. Huang*,Metatranscriptomic analyses of plant cell wall polysaccharide degradation by microorganisms in the cow rumen. Appl Environ Microbiol, 2015. 81(4): p. 1375-86.