朱岩，博士，中国科学院天津工业生物技术研究所系统生物学中心研究员、博导、2023年获中国科学院引才项目择优支持。兼任生物信息学会（筹）计算合成生物学专委会、中国分析测试协会绿色技术分会委员，International Journal of Antimicrobial Agents 等杂志编委。从事微生物系统生物学、分子生物学与计算生物学研究，针对研究所工程菌种铸造平台中“系统分析模拟”这一重点方向，围绕重要工业底盘，开展多组学分析，深入探索微生物生长代谢与胁迫耐受的分子机制，构建数理双驱的高精度数字细胞，突破工程菌种设计瓶颈。目前承担合成生物学国家重点研发计划、国家自然科学基金面上项目、中国科学院战略性先导科技专项、中国科学院引才计划、天津市合成生物技术创新能力提升行动等多项课题。在Advanced Science、Nature Communications、Trends in Microbiology 等国际高水平期刊上发表文章107篇。
联系方式
邮箱：zhuyan@tib.cas.cn,
电话：022-24828700
地址：天津市空港经济区西七道32号中国科学院天津工业生物技术研究所
教育经历
2002 − 2006 山东大学生命科学学院，生物技术，理学学士
2006 − 2012 中国科学院微生物研究所，微生物学，理学博士
工作经历
2013 − 2014 博士后，澳大利亚昆士兰大学，农业与食品科学学院
2015−2017 博士后，澳大利亚蒙纳士大学，药学院
2017−2022 Senior Research Fellow，澳大利亚蒙纳士大学，医学护理与健康科学学院
2022至今 中国科学院天津工业生物技术研究所，研究员
发表文章
1. Hao, Y., Xu, J., Sun, B., Zhang, H., Gu, H., Wang, Y., Zheng, P., Jia, K.*, Zhu, Y.*, Sun, J. Time-resolved transcriptomics reveals mechanisms of acute and sustained low-pH adaptation in Corynebacterium glutamicum. Synthetic and Systems Biotechnology, 2026. Accepted on 7 Mar.
1. Ni, X., Gao, N., Hu, W., Guo, X., Liu, J., Chen, J., Cai, N., Zhao, X., Sun, J., Li, Y.*, Zhu, Y.*, & Zheng, P. (2025). Deciphering mechanisms of stress-induced metabolic shifts in Corynebacterium glutamicum by transcriptomics and contextualised modelling. Bioresource Technology, 440, 133406.
2. Yu, C., Hu, W., Li, X., Lei, Y., Gao, D., Wang, M., Zheng, P., Zhu, Y*., & Sun, J. (2025). Elucidating the Mechanism of Temporal Adaptation to Hydrogen Peroxide-Induced Oxidative Stress in Corynebacterium glutamicum. Microbial Biotechnology, 18(6), e70170.
3. Zhu Y*, Zhang Z, Qin P, Shen J, Sun J*. Data-driven multi-omics analyses and modelling for bioprocesses. Chinese Journal of Biotechnology. 2025;41(3):1152–1178.
4. Zhu Y*, Sun J. Mathematical modelling for cellular processes. Chinese Journal of Biotechnology. 2025;41(3):1052–1078.
5. Guo Y, Lu J, Jin P, Qiu Z, Yu F*, Zhu Y*, Huang J*. Genomic characterization of multidrug-resistant tuberculosis in Shanghai, China: antibiotic resistance, virulence, and transmission. JAC-Antimicrobial Resistance. 2025 May 8;7(3):dlaf064.
6. Lu J, Han M, Yu HH, Bergen PJ, Liu Y, Zhao J, Wickremasinghe H, Jiang X, Hu Y, Du H, Zhu Y*, Velkov T*. Lipid A modification and metabolic adaptation in polymyxin-resistant, New Delhi metallo-β-lactamase-producing Klebsiella pneumoniae. Microbiology Spectrum. 2023 Aug 17;11(4):e0085223.
7. Chung WY, Rahim NA, Maifiah MHM, Shivashekaregowda NKH, Zhu Y*, Wong EW*. In-silico genome-scale metabolic modeling and in-vitro static time-kill studies of exogenous metabolites alone and with polymyxin B against Klebsiella pneumoniae. Frontiers in Pharmacology. 2022;13:880352.
8. Jin P, Dai J, Guo Y, Wang X, Lu J, Zhu Y*, Yu F*. Genomic analysis of Mycobacterium abscessus complex isolates from patients with pulmonary infection in China. Microbiology Spectrum. 2022;10(4):e0011822.
9. Guo Y, Su L, Liu Q, Zhu Y*, Dai Z*, Wang Q. Dissecting carbon metabolism of Yarrowia lipolytica type strain W29 using genome-scale metabolic modelling. Computational and Structural Biotechnology Journal. 2022;20:2503–2511.
10. Zhu Y*, Zhao J, Li J. Genome-scale metabolic modeling in antimicrobial pharmacology. Engineering Microbiology. 2022;2(2):100021.
11. Roberts KD#, Zhu Y#, Azad MAK#, Han ML, Wang J, Wang L, Yu HH, Horne AS, Pinson JA, Rudd D, Voelcker NH, Patil NA, Zhao J, Jiang X, Lu J, Chen K, Lomovskaya O, Hecker SJ, Thompson PE, Nation RL, Dudley MN, Griffith DC, Velkov T, Li J. A synthetic lipopeptide targeting top-priority multidrug-resistant Gram-negative pathogens. Nat Commun. 2022 Mar 25;13(1):1625.
12. Bin Hafeez A, Jiang X, Bergen PJ, Zhu Y*. Antimicrobial Peptides: An Update on Classifications and Databases. International Journal of Molecular Sciences. 2021; 22(21):11691.
13. Dai Z#, Zhu Y#, Dong H, Zhao C, Zhang Y, Li Y. Enforcing ATP hydrolysis enhanced anaerobic glycolysis and promoted solvent production in Clostridium acetobutylicum. Microbial Cell Factories. 2021;20(1):149.
14. Zhu Y#, Lu J#, Han ML#, Jiang X#, Azad MAK, Patil NA, Lin YW, Zhao J, Hu Y, Yu HH, Chen K, Boyce JD, Dunstan RA, Lithgow T, Barlow CK, Li W, Schneider-Futschik EK, Wang J, Gong B, Sommer B, Creek DJ, Fu J, Wang L, Schreiber F, Velkov T, Li J. Polymyxins Bind to the Cell Surface of Unculturable Acinetobacter baumannii and Cause Unique Dependent Resistance. Advanced Science. 2020 Jun 8;7(15):2000704.
15. Zhao J, Zhu Y*, Han J, Lin YW, Aichem M, Wang J, Chen K, Velkov T, Schreiber F, Li J*. Genome-Scale Metabolic Modeling Reveals Metabolic Alterations of Multidrug-Resistant Acinetobacter baumannii in a Murine Bloodstream Infection Model. Microorganisms. 2020 Nov 16;8(11):1793.
16. Li M, Aye SM, Ahmed MU, Han ML, Li C, Song J, Boyce J, Powell D, Azad MAK, Velkov T, Zhu Y,* and Li J.* Pan-transcriptomic analysis identified common differentially expressed genes of Acinetobacter baumannii in response to polymyxin treatments. Molecular Omics. 2020. 16(4):327-338.
17. Huang J, Chen L, Song J, Velkov T, Wang L, Zhu Y*, Li J*. Regulating Polymyxin Resistance in Gram-negative Bacteria: Roles of Two-Component Systems PhoPQ and PmrAB. Future Microbiol 2020. 15:445-459.
18. Zhu Y*, Lu J, Zhao J, Zhang X, Yu HH, Velkov T, and Li J*. Complete genome sequence and genome-scale metabolic modelling of Acinetobacter baumannii type strain ATCC 19606. International Journal of Medical Microbiology. 2020. 310(3):151412.
19. Zhu Y#*, Zhao J#, Maifiah MHM, Velkov T, Schreiber F, Li J. Metabolic Responses to Polymyxin Treatment in Acinetobacter baumannii ATCC 19606: Integrating Transcriptomics and Metabolomics with Genome-Scale Metabolic Modeling. mSystems. 2019 Feb 5;4(1):e00157-18.
20. Zhu Y, Galani I, Karaiskos I, Lu J, Aye SM, Huang J, Yu HH, Velkov T, Giamarellou H, Li J. Multifaceted mechanisms of colistin resistance revealed by genomic analysis of multidrug-resistant Klebsiella pneumoniae isolates from individual patients before and after colistin treatment. Journal of Infection. 2019 Oct;79(4):312-321.
21. Zhu Y, Czauderna T, Zhao J, Klapperstueck M, Maifiah MHM, Han ML, Lu J, Sommer B, Velkov T, Lithgow T, Song J, Schreiber F, Li J. Genome-scale metabolic modeling of responses to polymyxins in Pseudomonas aeruginosa. Gigascience. 2018 Apr 1;7(4):giy021.
22. Zhu Y#, Pham TH#, Nhiep TH#, Vu NM#, Marcellin E, Chakrabortti A, Wang Y, Waanders J, Lo R, Huston WM, Bansal N, Nielsen LK, Liang ZX, Turner MS. Cyclic-di-AMP synthesis by the diadenylate cyclase CdaA is modulated by the peptidoglycan biosynthesis enzyme GlmM in Lactococcus lactis. Molecular Microbiology. 2016 Mar;99(6):1015-27.
23. Zhu Y#, Li D#, Bao G, Wang S, Mao S, Song J, Li Y, and Zhang Y. Metabolic changes in Klebsiella oxytoca in response to low oxidoreduction potential, as revealed by comparative proteomic profiling integrated with flux balance analysis. Applied and Environmental Microbiology. 2014. 80(9):2833-41.
24. Zhu Y, Song J, Xu Z, Sun J, Zhang Y, Li Y, and Ma Y. Development of thermodynamic optimum searching (TOS) to improve the prediction accuracy of flux balance analysis. Biotechnology and Bioengineering. 2013. 110(3):914-23.
25. Zhu L#, Zhu Y#, Zhang Y, and Li Y. Engineering the robustness of industrial microbes through synthetic biology. Trends in Microbiology 2012. 20(2):94-101.
26. Zhu Y, Zhang Y, and Li Y. Understanding the industrial application potential of lactic acid bacteria through genomics. Applied Microbiology and Biotechnology. 2009. 83(4):597-610.
