Peter DiGennaro, University of Wisconsin – Madison

Peter DiGennaro, Assistant Professor of Nematology at University of Wisconsin – Madison

Abstract

Significant strides in -omic technologies and artificial intelligence are making their way to specialized disciplines. Here I will explore several applications of these resources to explore plant parasitic nematode pathology. A multi-omics approach leveraged numerous publicly available transcriptomic datasets to unravel cross-species interactions and identify shared pathways that are potential targets for nematode management. Annotation of thousands of high-resolution microscopic nematode images informed several object detection machine learning algorithms is the beginning of AI-based plant parasitic nematode detection and quantification. Heavy-labeled nitrogen allowed for the temporal quantification of nematode feeding over its lifecycle from plant roots with proteomics. And, genetical genomic-interfaces generated from nematode-plant model systems uncover the intersection of abiotic and biotic stresses.

Join us on Monday, March 18 at 1:30 PM in Stephens Room (3503 Thomas Hall) and ZOOM for the Genetics and Genomics Seminar Series.

Register to attend virtually via Zoom.

No registration is required to attend In-Person

If you are interested in meeting with Peter DiGennaro, please contact host Dahlia Nielsen (dmnielse@ncsu.edu).