Metabolic pathways in plants are quite dynamic, resulting in production of over a million metabolites across ~300,000 estimated plant species. These metabolic pathways are in a constant state of innovation due to gene duplication, transcriptional divergence, enzyme promiscuity etc. How have specific metabolic pathways originated and diversified? What is the role of positive selection and genetic drift in shaping metabolic diversity? How does enzyme promiscuity influence evolution of specialized metabolic pathways? We are investigating these and other allied questions using evolutionary approaches, by performing comparative analyses of plant genomes, transcriptomes and metabolomes. Research in the Moghe lab is highly integrative and comprised of both computational and wet-lab approaches.
I teach PLBIO 4000/6000: Concepts and Techniques in Computational Biology - an intensive co-meet course for advanced undergraduates and grad students every spring. This course is meant for biologists intent on learning computational genomics approaches, and covers topics such as Python programming, genomics, domain analysis, network analysis and machine learning.<br><br>I also teach a 2-session grad student lab class on Mass Spectrometry for metabolomics in Fall (PLBIO 6410) and contribute towards a paper discussion class in the spring semester for plant biology grad students (PLBIO 7410).<br>
Awards and Honors
- American Society of Plant Biologists Early Career Award (2018) American Society of Plant Biologists
- Postdoctoral Independent Career Potential Award (2017) Department of Biochemistry and Molecular Biology, Michigan State University