Pauline W. Wang

This study examines the impact of gestational diabetes on infant gut microbiome function and composition, finding modest and transient effects.

The paper uses machine learning to predict antibiotic eradication therapy success for Pseudomonas aeruginosa infections in cystic fibrosis patients based on genomic data, achieving an AUC of 0.87.

This paper uses gradient boosted decision trees to predict virulence of Pseudomonas syringae isolates on bean using genomic data, finding that PG3 strains are more host-specific than PG2 strains.

The paper identifies genetic variants associated with enhanced growth and reduced immune function in modern broilers through comparative genomic analysis of historical and commercial chicken lines.

The paper analyzes the evolutionary relationships of Pseudomonas syringae strains using whole-genome sequencing and finds that recombination maintains genetic cohesion, particularly among primary phylogroups.

The paper identifies HopZ1a, a T3SE from Pseudomonas syringae, as an acetyltransferase that targets plant kinesins to disrupt microtubule networks through yeast genetic and interaction screens.