M. M. Johnson

Growth-dependent gene expression variation influences the strength of codon usage biases

The paper shows that growth rate-dependent gene expression variation significantly influences codon usage biases in microbial genomes.

Recombination rate inference via deep learning is limited by sequence diversity

This study shows that deep learning models for recombination rate inference perform poorly on low-diversity sequence data, highlighting inherent information limits in such datasets.

Composition and acquisition of the microbiome in solitary, ground-nesting alkali bees

This study examines the microbiome of alkali bees across their life cycle, finding that feeding status and environment significantly shape microbial composition.

Multiscale Characterization of Complex Binding Interactions of Cellulolytic Enzymes Highlights Limitations of Classical Approaches

This study uses single-molecule assays and simulations to show how CBM1 binding affects cellulase activity on different cellulose allomorphs, highlighting limitations of classical binding models.

The many nuanced evolutionary consequences of duplicated genes

This study investigates how gene duplication affects the evolution of interacting proteins, finding that duplicated genes can drive unexpected functional changes in their partners through dosage imbalance.

Juvenile Hormone, But Not Nutrition Or Social Cues, Affects Reproductive Maturation In Solitary Alkali Bees (Nomia melanderi)