Stephen B. Goodwin

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.

A GWAS of 337 US soft winter wheat genotypes identified 12 marker-trait associations for resistance to Zymoseptoria tritici, including both known and novel resistance genes.

The paper develops a CRISPR/Cas9 method for editing Zymoseptoria tritici and shows that Mycgr3107904 contributes to disease progression.

The paper identifies a major QTL cluster on maize chromosome 1 associated with tar spot resistance using recombinant-inbred lines and genetic analysis.

This study develops a real-time PCR method to quantify Zymoseptoria tritici growth in wheat cultivars and shows it can distinguish resistant and susceptible lines starting at 12 days post-inoculation.

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 improves gene annotation of Zymoseptoria tritici by combining Iso-Seq and RNA-Seq data, resulting in more accurate gene models and new insights into its transcriptional landscape.

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

The paper analyzes a thousand-genome panel of Zymoseptoria tritici to trace its global spread and identify genetic changes associated with climatic adaptation.

The paper analyzes the evolution of amplified housekeeping genes in fungal genomes, showing variable outcomes due to transposon-mediated amplification and RIP effects.