李福勇,博士,浙江大学第一类百人计划研究员,博士生导师,国家高层次青年引进人才。主要研究方向为消化道功能微生物组与宿主的交互作用。李福勇本科毕业于西北农林科技大学,之后获得欧盟伊拉斯谟世界计划全额奖学金并取得荷兰瓦赫宁根大学和维也纳农业大学动物遗传育种专业双硕士学位,硕士毕业后获得全额奖学金在加拿大阿尔伯塔大学攻读博士学位。博士毕业后在阿尔伯塔大学从事博士后研究;入职浙江大学前受聘于香港城市大学传染病与公共卫生系,任动物营养方向助理教授、独立PI、博士生导师。李福勇博士长期致力于消化道功能微生物组这一国际前沿领域的研究,聚焦本领域热点,结合多组学技术(包括宏转录组学、宏基因组学、宏代谢组学、比较基因组学等)、分子微生物学技术及经典微生物学技术,阐释了消化道微生物与宿主在营养和遗传层面的交互作用,在Cell、Microbiome、iMeta、Pharmacological Research、BMC Biology、Cell Host and Microbe、ISME等国际权威学术期刊发表论文超过30篇。现担任Microbiome杂志(微生物领域知名期刊)Associate Editor;长期担任Microbiome、Nature Communications、mSystems等知名期刊审稿人。在海外留学、工作期间曾先后13次获得欧盟、加拿大阿尔伯塔省政府、阿尔伯塔大学等机构授予的荣誉和奖励。
工作经历
浙江大学:百人计划研究员 (2023/09 - 至今)
香港城市大学:助理教授 (2021/12 - 2023/09)
加拿大阿尔伯塔大学:博士后 (2017/09 - 2021/12)
教育背景
博士:加拿大阿尔伯塔大学动物科学专业 (2012/09 - 2017/09)
硕士:荷兰瓦赫宁根大学动物遗传育种专业 (2011/07 - 2012/07)
硕士:奥地利维也纳农业大学动物遗传育种专业 (2010/09 - 2011/06)
学士:西北农林科技大学动物科学专业 (2005/09 - 2009/07)
诚挚欢迎推免、报考本实验室硕、博研究生!诚邀博士后加盟本课题组开展合作研究!
1. 国家自然科学基金海外高层次引进人才青年项目:反刍动物营养生理学(2023 - 至今),主持
2. 国家自然科学基金面上项目:罗伊氏乳杆菌在牛宿主消化道内的适应性进化机制研究(2025 - 2028),主持
3. 浙江大学高层次人才启动基金(2023 - 2029),主持
4. 香港城市大学战略跨学科研究基金:Characterizing The Temporal Dynamics of Gut Virome and Its Role in Metabolic Functions in Neonatal Dairy Calves(2023 - 2025),主持
5. 香港城市大学引进人才科研启动基金:Exploring the Evolutionary Mechanisms of Host Adaptation of Microbial Symbionts to Vertebrates (2022 - 2023;结题),主持
6. 加拿大Alberta Innovates Postgraduate Fellowship项目(2019 - 2021),主持
7. 加拿大The W. Garfield Weston Foundation,Weston Family Microbiome Initiative项目:Rewilding the human gut: Reintroduction of the species Lactobacillus reuteri(2018 - 2021;结题),主要参与人
8. 加拿大Canadian Institutes of Health Research项目:Exploring structure-function relationships between dietary fibre and the gut microbiome: Towards predicting and personalizing nutritional strategies(2017 - 2022;结题),主要参与人
9. 加拿大NSERC Discovery Grants Program项目:Molecular characterization of mixed-species bacterial biofilms in the gastrointestinal tract(2015 - 2020;结题),主要参与人
代表性论文:
1. Li, F., Armet, A. M., Korpela, K., Liu, J., Quevedo, R. M., Asnicar, F., Seethaler, B., Rusnak, T. B. S., Cole, J. L., Zhang, Z., Zhao, S., Wang, X., Gagnon, A., Deehan, E. C., Mota, J. F., Bakal, J. A., Greiner, R., Knights, D., Segata, N., Bischoff, S. C., Mereu, L., Haqq, A. M., Field, C. J., Li, L., Prado, C. M., & Walter, J. (2025). Cardiometabolic benefits of a non-industrialized-type diet are linked to gut microbiome modulation. Cell, 188(5), 1226–1247.e18.
2. Li, F.*, Liu, J., Maldonado-Gómez, M., Frese, S. A., Gänzle, M. G., & Walter, J.* (2024). Highly accurate and sensitive absolute quantification of bacterial strains in human fecal samples. Microbiome, 12(1), 168.
3. Wang, W., Wei, Z., Li, Z., Ren, J., Song, Y., Xu, J., Liu, A., Li, X., Li, M., Fan, H., Jin, L., Niyazbekova, Z., Wang, W., Gao, Y., Jiang, Y., Yao, J., Li, F.*, Wu, S.*, & Wang, Y.* (2024). Integrating genome- and transcriptome-wide association studies to uncover the host-microbiome interactions in bovine rumen methanogenesis. iMeta, e234.
4. Ni, H., Chan, B. K., Ye, L., Wu, H., Heng, H., Xu, Q., Chen, K., Cheung, R. Y., Wang, H., Chan, E. W., Li, F.*, & Chen, S.* (2024). Lowering mortality risk in CR-HvKP infection in intestinal immunohistological and microbiota restoration. Pharmacological Research, 206, 107254.
5. Li, F., Li, X., Cheng, C. C., Bujdoš, D., Tollenaar, S., Simpson, D. J., Tasseva, G., Perez-Muñoz, M. E., Frese, S., Gänzle, M. G.*, Walter, J.*, & Zheng, J.* (2023). A phylogenomic analysis of Limosilactobacillus reuteri reveals ancient and stable evolutionary relationships with rodents and birds and zoonotic transmission to humans. BMC Biology, 21(1), 53.
6. Li, F., Cheng, C. C., Zheng, J., Liu, J., Quevedo, R. M., Li, J., Roos, S., Gänzle, M. G., & Walter, J.* (2021). Limosilactobacillus balticus sp. nov., Limosilactobacillus agrestis sp. nov., Limosilactobacillus albertensis sp. nov., Limosilactobacillus rudii sp. nov. and Limosilactobacillus fastidiosus sp. nov., five novel Limosilactobacillus species isolated from the vertebrate gastrointestinal tract, and proposal of six subspecies of Limosilactobacillus reuteri adapted to the gastrointestinal tract of specific vertebrate hosts. International Journal of Systematic and Evolutionary Microbiology, 71(2), 004644.
7. Li, F., Li, C., Chen, Y. H., Liu, J., Zhang, C., Irving, B., Fitzsimmons, C., Plastow, G., Guan, L. L.* (2019). Host genetics influence the rumen microbiota and heritable rumen microbial features associate with feed efficiency in cattle. Microbiome, 7(1), 92. (Web of Science高被引论文)
8. Li, F., Hitch, T. C. A., Chen, Y. H., Creevey, C. J., Guan, L. L.* (2019). Comparative metagenomic and metatranscriptomic analyses reveal the breed effect on the rumen microbiome and its associations with feed efficiency in beef cattle. Microbiome, 7(1), 6.
9. Li, F., Neves, A. L. A., Ghoshal, B., Guan, L. L.* (2018). Mining metagenomic and metatranscriptomic data for clues about microbial metabolic functions in ruminants. Journal of Dairy Science, 101(6), 5605-5618.
10. Li, F., & Guan, L. L.* (2017). Metatranscriptomic Profiling Reveals Linkages between the Active Rumen Microbiome and Feed Efficiency in Beef Cattle. Applied and Environmental Microbiology, 83(9), e00061-17. (杂志亮点文章).