General

Teng Wang

Associate Professor

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Email: t.wang1@siat.ac.cn

Research Areas

We are a group of researchers from diverse backgrounds, including microbiology, bioinformatics, ecology, mathematics and computer science. We are passionate about a variaty of fundamental questions regarding the basic laws of life. Currently, we are actively pursuing the following questions:

(1) Combining Big Data, AI and Mathematical Models to discover the design principles of complex living systems;

(2) The genetic and environmental determinants underlying the transfer of antibiotic resistance genes;

(3) The quantitative rules governing the evolution of prokaryotic genomes.


Education

I obtained my bachelor's degree of biology from Peking University, where I also got my dual degree on Mathematics. In 2022, I got my PhD degree of Biomedical Engineering from Duke University.

Experience


Work Experience
I joined Shenzhen Institutes of Advanced Technology in 2023, leading a lab on Microbial Ecology and Quantitative Synthetic Biology.


Publications

   
Papers

* Co-firs author

#Corresponding author


Zhu S, Hong J, Wang T#. Horizontal gene transfer is predicted to overcome the diversity limit of competing microbial species. Nature Communications. 2024 Jan 27;15(1):800.

Wang T*, Weiss A*, Aqeel A, Wu F, Lopatkin AJ, David LA, You L#. Horizontal gene transfer enables programmable gene stability in synthetic microbiota. Nature Chemical Biology. 2022 Nov;18(11):1245-52.

Wang T, You L#. The persistence potential of transferable plasmids. Nature communications. 2020 Nov 4;11(1):5589.

Wang T*, Weiss A*, You L#. A generic approach to infer community-level fitness of microbial genes. Proceedings of the National Academy of Sciences. 2024 Apr 23;121(17):e2318380121.

Weiss A*, Wang T*, You L#. Promotion of plasmid maintenance by heterogeneous partitioning of microbial communities. Cell Systems. 2023 Oct 18;14(10):895-905.

Wang T, You L#. Bringing cells to the edge. Elife. 2022 Nov 2;11:e83789.

Wang T, Weiss A, Ha Y, You L#. Predicting plasmid persistence in microbial communities by coarse‐grained modeling. Bioessays. 2021 Sep;43(9):2100084.

Maddamsetti R, Yao Y, Wang T, Gao J, Huang VT, Hamrick GS, Son HI, You L#. Duplicated antibiotic resistance genes reveal ongoing selection and horizontal gene transfer in bacteria. Nature Communications. 2024 Feb 16;15(1):1449.

Kim K, Wang T, Ma HR, Şimşek E, Li B, Andreani V, You L#. Mapping single‐cell responses to population‐level dynamics during antibiotic treatment. Molecular Systems Biology. 2023 Jul 11;19(7):e11475.

Yao Y, Maddamsetti R, Weiss A, Ha Y, Wang T, Wang S, You L#. Intra-and interpopulation transposition of mobile genetic elements driven by antibiotic selection. Nature Ecology & Evolution. 2022 May;6(5):555-64.


Research Interests

Ecology of microbial communities; Microbial evolution; Antibiotic resistance; Horizontal gene transfer; Mathematical modeling; Machine learning; Big data; Synthetic biology; Systems biology