Peter F Andeer

This study shows dopamine affects rhizosphere microbial community composition by influencing bacterial growth and abundance in Brachypodium distachyon root exudates.

The paper introduces a Bayesian Personalized Ranking model to predict microbial substrate preferences and develops an agent that integrates this model with a growth model and LLM for autonomous microbial analysis.

The paper establishes reproducible methods for plant-microbiome research using fabricated ecosystems across multiple laboratories.

This paper uses EcoFAB 2.0 to study microbiome assembly in Zostera marina seedlings, identifying stage-specific microbial indicators and demonstrating controlled microbiome manipulation.

This study shows that modifying lignin composition in Brachypodium distachyon changes root exudates and microbiome composition, affecting microbial colonization and community structure.

This paper develops a hyperspectral segmentation workflow using sparse mixed-scale convolution neural networks to analyze plant characteristics in fabricated ecosystems with minimal user annotation.

This study demonstrates the use of EcoFABs to measure horizontal gene transfer frequency in the rhizosphere of Brachypodium distachyon, showing dependencies on plant stage, root exudates, donor cell numbers, and environmental stress.

Rhizonet is a deep learning model for segmenting plant root images in hydroponic systems, improving accuracy and reducing manual effort in root biomass analysis.

This study uses long-read metagenomics and metatranscriptomics to analyze soil communities, revealing phylum-specific secondary metabolite dynamics during wetting events.