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
- Genomic versus Plasmid-Borne Expression of Germinant Receptor Proteins in Strain 14579. Wang Y, Setlow P, Brul S Microorganisms (2022) 10(9): 10.3390/microorganisms10091774
- Changes in the Spore Proteome of in Response to Introduction of Plasmids. Gao X, Swarge BN, Roseboom W, Wang Y, Dekker HL, Setlow P, Brul S, Kramer G Microorganisms (2022) 10(9): 10.3390/microorganisms10091695
- Transcriptomic and metabolic signatures of diatom plasticity to light fluctuations. Zhou L, Gao S, Yang W, Wu S, Huan L, Xie X, Wang X, Lin S, Wang G Plant physiology (2022) : 10.1093/plphys/kiac455
- Wireless multi-lateral optofluidic microsystems for real-time programmable optogenetics and photopharmacology. Wu Y, Wu M, Vázquez-Guardado A, Kim J, Zhang X, Avila R, Kim JT, Deng Y, Yu Y, Melzer S, Bai Y, Yoon H, Meng L, Zhang Y, Guo H, Hong L, Kanatzidis EE, Haney CR, Waters EA, Banks AR, Hu Z, Lie F, Chamorro LP, Sabatini BL, Huang Y, Kozorovitskiy Y, Rogers JA Nature communications (2022) 13(1):5571 10.7554/eLife.64041
- virDTL: Viral Recombination Analysis Through Phylogenetic Reconciliation and Its Application to Sarbecoviruses and SARS-CoV-2. Zaman S, Sledzieski S, Berger B, Wu YC, Bansal MS Journal of computational biology : a journal of computational molecular cell biology (2022) : 10.1089/cmb.2021.0507