Philip Simon Poole

This paper presents a 4D spatial transcriptomic atlas of Medicago truncatula nodules and lateral roots, revealing how nodule identity emerges through stacked developmental programs.

This study shows that pea plants sanction entire nodules based on nitrogen fixation rates, not individual bacteria, preventing ineffective strains from evading sanctions by piggybacking.

This study shows pea plants sanction nodules with less effective rhizobia based on global nodule comparisons and can differentiate between bacteria with small fixation effectiveness variations.

The paper introduces a method to construct weighted gene coexpression networks using signed distance correlation, showing improved stability and biological information capture compared to Pearson correlation and unweighted networks.

The paper reconstructs and validates a genome-scale metabolic model for Rhizobium leguminosarum, integrating it with multi-omics data to predict metabolic fluxes across different symbiotic stages.

The paper introduces signed distance correlation to build gene coexpression networks from gene expression data, showing improved stability and biological relevance compared to Pearson or Spearman correlations.