- Extension and Outreach
- Strategic Plan
Here are our participating faculty mentors and their areas of research interest. Click their names to see more about their lab and project.
|PI||Area of research*|
|Plant-pathogen interactions; model system; transcriptomics; proteomics; metabolomics; molecular biology|
|Busby||Plant-microbe interactions; model system; agricultural systems; microbial ecology; microbiomes|
|Chang||Plant-microbe interactions; agricultural systems; microbial evolution; microbial ecology; genomics; molecular biology|
|David||Animal-microbe interactions; model systems; animal behavior; mental health; microbial ecology; microbiome; genomics|
|Deluc||Plant stress (environmental and pathogen); genetic engineering; agricultural systems; genomics; molecular biology|
|Fowler||Plant reproduction and development; agricultural systems; plant genetics and breeding; genomics; computer vision|
|Goyer||Improving nutritional value of crops; agricultural systems; plant-pathogen interactions; genomics; transcriptomics|
|Grunwald||Plant-pathogen interactions; agricultural and forest systems; genomics; population genomics|
|Jaiswal||Plant stress (environmental); agricultural systems; model systems; transcriptomics; data curation|
|LeBoldus||Plant-pathogen interactions; forest systems; genomics; molecular biology|
|Liston||Plant evolutionary biology; plant ecology; natural systems; genomics; genetics; population genomics|
|Megraw||Plant gene expression; model systems; transcriptomics; bioinformatics|
|Mundt||Plant-pathogen interactions; agricultural systems; epidemiology; plant molecular breeding; computational modeling|
|Myrold||Soil microbial communities; ecosystems; nitrogen cycling; microbial ecology; microbiomes; genomics|
|Nackley||Pest management, plant propagation, plant nutrition, soil science, ecology, economics, and policy|
|Naithani||Biocuration, data management, FAIR data principles, big data analytics|
|Sharpton||Animal-microbe interactions; model systems; animal health; microbial ecology; microbiomes; genomics|
|Spatafora||Fungal evolutionary biology; fungal ecology; insect-fungal interactions; genomics|
|Tyler||Plant-pathogen interactions; agricultural systems; evolution; genomics; transcriptomics|
|Vining||Plant-microbe interactions; plant molecular breeding; genomics; transcriptomics; molecular biology|
Epidemiology: the study of the incidence and spread of disease.
Genomics: study of genomes (entire set of genes in an individual).
Metabolomics: study of the metabolites that are produced at a specific time, in a specific location, or in response to a specific signal.
Microbiomes: the study of all the microbial (fungal and/or bacterial) genomes within a community (interacting group of microbes). We use short molecular barcodes called “amplicons” or we use whole genome sequences.
Plant molecular breeding: the use of DNA sequences to accelerate breeding and development of new lines of crops with desirable characteristics.
Population genomics: study of the natural variation in genomes of a population.
Proteomics: study of all proteins that are expressed at a specific time, in a specific location, or in response to a specific signal.
Transcriptomics: study of subset of genes that are expressed as RNA at a specific time, in a specific location, or in response to a specific signal.