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
- Extracellular metallothionein as a therapeutic target in the early progression of Type 1 Diabetes. Melchiorre CK, Lynes MD, Bhandari S, Su SC, Potts CM, Thees AV, Norris CE, Liaw L, Tseng YH, Lynes MA Cell stress & chaperones (2024) : 10.1016/j.cstres.2024.03.005
- Population dynamics and bidirectional transfer of Listeria monocytogenes and Shiga toxin-producing Escherichia coli during cheese production in wooden vats. Sun L, D'Amico DJ Food microbiology (2024) 120:104483 10.1016/j.fm.2024.104483
- Insulin resistance before type 2 diabetes onset is associated with increased risk of albuminuria after diabetes onset: A prospective cohort study. Willig MR, Stinson EJ, Looker HC, Piaggi P, Mitchell CM, Hanson RL, Nelson RG, Krakoff J, Chang DC Diabetes, obesity & metabolism (2024) : 10.1111/dom.15505
- The Role of Exercise in Statin-Associated Muscle Symptoms Outcomes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Mangone LA, Kwon OS, Johnson BT, Wu Y, Pescatello LS Mayo Clinic proceedings. Innovations, quality & outcomes (2024) 8(2):131-142 PMC6465106 10.1093/eurjpc/zwad229
- Massively parallel mutant selection identifies genetic determinants of colonization of . Miles J, Lozano GL, Rajendhran J, Stabb EV, Handelsman J, Broderick NA mSystems (2024) :e0131723 10.1128/msystems.01317-23