A. Quinn

Gut microbiota influences foraging onset without affecting division of labor and associated physiological hallmarks in honeybees

This study shows that gut microbiota in honeybees affects the onset of foraging but not division of labor or associated physiological traits.

Foraging on host synthesized metabolites enables the bacterial symbiont Snodgrassella alvi to colonize the honey bee gut

This study shows that Snodgrassella alvi, a honey bee gut symbiont, relies on host-derived organic acids and modulates tryptophan metabolism to colonize the gut.

Determinants of Viscoelasticity and Flow Activation Energy in Biomolecular Condensates

This study investigates the molecular factors controlling viscoelasticity and flow activation energy in biomolecular condensates using engineered polypeptides and DNA.

The gut microbiota affects the social network of honeybees

This study shows that gut microbiota manipulation in honeybees increases social interaction rates and specialization, linked to brain metabolite and transcriptional changes.

Polyclonal pathogen populations accelerate the evolution of antibiotic resistance in patients

Antibiotic resistance evolves quickly in patients colonized by polyclonal pathogen populations.

Niche partitioning facilitates coexistence of closely related gut bacteria

The paper shows that four Lactobacillus species coexist in the honey bee gut by partitioning pollen-derived resources, but not simple sugars, despite negative interactions.

Bacterially produced small molecules stimulate diatom growth

Two diketopiperazines (DKPs) produced by sporulating Bacillus thuringiensis stimulate diatom P. tricornutum growth and increase lipid content.

Rapid evolution drives the rise and fall of carbapenem resistance during an acute Pseudomonas aeruginosa infection

The paper tracks the rapid evolution of carbapenem resistance in P. aeruginosa during an acute infection, showing resistance rise and fall due to antibiotic treatment.

The Primary Tumor Immune Microenviornment Status Predicts the Response to Immunotherapy and Overall Survival in Breast Cancer

This study identifies TIME states in breast cancer patients that predict immunotherapy response and survival using TCGA data and mouse models.

A cross-cancer metastasis signature in the microRNA-mRNA axis of paired tissue samples

The paper identifies cross-cancer metastasis biomarkers by analyzing miRNA-mRNA expression in paired tumor samples across 11 cancer types.