A hot springs story in four parts: Using large data sets to describe extreme environments
- Monday, April 1, 2019 from 3:10pm to 4:00pm
- Plant Biosciences Building, 108 - view map
Jesse Peach received his bachelor’s degree from Montana State University and is currently a PhD candidate in biochemistry in the Brian Bothner Lab at MSU. His ongoing graduate research projects include investigating inflammation from a metabolic perspective and exploring the proteomic and metabolomic profiles of thermoalkaline features in Yellowstone National Park. Both of these projects include a microbial component with an emphasis on the gut microbiome in the inflammation project and archaeal and bacterial communities in the thermal features project. This work has allowed Jesse to interpret large and varied omics data sets to determine relevant features. While his interests remain varied, mass spectrometry analysis is at the core of his research. If you would like to meet with Jesse, he can be reached at email@example.com
Abstract: Commonly determined data from hot spring analysis help describe thermal features, yet different data sets and analysis can provide novel information and understanding pertinent to the thermal environment and the microbial communities that reside there. Four different data sets were used in this meta-analysis to probe questions about microbial activity and community assembly. By combining geochemical analysis, community profiling, and small molecule environmental analysis with metabol- and prote-omics, insights into thermal features can be discovered.