Welcome to the Center for Microbial Systems, Ecology and Evolution
Microbiological research takes place in different schools, colleges and departments at University of Connecticut (UConn) and at the University of Connecticut Health Center (UCHC). In aggregate these researchers provide an impressive resource for know-how on microorganisms, their ecology, physiology, and evolution.
Genomics and proteomic technologies have revolutionized the ways microbial systems are studied. Researchers at UConn have developed and use an array of techniques, ranging from measurements of gas concentration in natural and engineered microbial communities to proteomics and metagenomic studies. Our goals is to help foster collaboration between UConn's microbiologists and to help other researchers to find UCONN scientists with specific skill sets.
The excellent reputation, scholarly success and collaborative work of the UConn microbiology community provide the foundation for the Center for Microbial Systems, Ecology and Evolution. This Center will provide on umbrella to take advantage of training grant opportunities and further multiple investigator grants. Microbiology at UConn is already well known to investigators outside the University as evidenced by current grant support and the placement of our PhD graduates. The CMSEE will allow UConn to expand this recognition on the national level.
Recent publications in PubMed
- Editorial: Improving antimicrobial peptides translational potential through peptidomimetics. Angeles-Boza AM, Santos NC, Cardoso MH Frontiers in microbiology (2023) 14:1304997 PMC4702905 10.1093/nar/gkv1278
- Neighboring inteins interfere with one another's homing capacity. Turgeman-Grott I, Arsenault D, Yahav D, Feng Y, Miezner G, Naki D, Peri O, Papke RT, Gogarten JP, Gophna U PNAS nexus (2023) 2(11):pgad354 PMC419797 10.1101/GR.849004
- Alkaline Phosphatase PhoD Mutation Induces Fatty Acid and Long-Chain Polyunsaturated Fatty Acid (LC-PUFA)-Bound Phospholipid Production in the Model Diatom . Zhang K, Li J, Cheng J, Lin S Marine drugs (2023) 21(11): PMC3218662 10.1093/bioinformatics/btp612
- Protocol for an agent-based model of recombination in bacteria playing a public goods game. Lee IPA, Eldakar OT, Gogarten JP, Andam CP STAR protocols (2023) 4(4):102733 10.1016/j.xpro.2023.102733
- CD8+ T Cell-Dependent Antitumor Activity In Vivo of a Mass Spectrometry-Identified Neoepitope despite Undetectable CD8+ Immunogenicity In Vitro. Gillig MA, Brennick CA, George MM, Balsbaugh JL, Shcheglova TV, Mandoiu II, Rosales T, Baker BM, Srivastava PK, Karandikar SH Journal of immunology (Baltimore, Md. : 1950) (2023) 211(12):1783-91 PMC8210748 10.4049/jimmunol.2300356