Michael Gribskov

The paper assesses Zymoseptoria tritici candidate effectors in Nicotiana benthamiana to identify immune recognition and potential host-independent activities, finding that expression timing and signal peptides influence effector phenotypes.

This study identifies a non-coding RNA gene, ARG3, responsible for fungal resistance in sorghum through enhanced cell death and confirms its role via transcript silencing.

This study examines geographic variation in the fungal microbiome associated with tar spot of corn across three regions, finding inconsistent associations of fungal species with the disease.

The paper uses comparative genomics to analyze Cryomyces antarcticus and other psychrophilic fungi to identify genetic features associated with extremophilic traits.

This study compares gene expression in Zymoseptoria tritici during susceptible, resistant, and non-host interactions to identify interaction-specific gene expression patterns and candidate effectors.

The paper introduces a new computational pipeline, Tuxedo, for analyzing nuclear RNA-seq data, which identifies chromatin-enriched RNAs (cheRNAs) and characterizes their cis-regulatory roles.

The paper evaluates RNA-Seq de novo assemblers and evaluation methods using PacBio long reads as a benchmark, finding Trinity is most complete but less continuous, while DETONATE provides a balanced evaluation.