Fig. 3: Characterization of pyrazinamide MACs.
From: A biochemically-interpretable machine learning classifier for microbial GWAS
a Horizontal bar plots of pathways enriched with significant pyrazinamide-associated fluxes with FDR < 0.05. b Boxplots of pncA, ansP2, and ppsA allele-specific fluxes for the reactions catalyzed by their gene-products. Alleles are rank ordered from least to greatest by their log odds ratio (LOR), from left to right. The boxes are colored according to the allele LOR, where positive corresponds to resistant (R) dominant while negative corresponds to susceptible (S) dominant. The box shows the quartiles of the dataset with the median noted as the horizontal line while the whiskers extend to show the rest of the points with outliers colored gray. The R-squared and P-value for the regression between allele LOR and flux is noted. See Supplementary Data 3 for list of mutations per allele. c Clustered heatmap of allele LOR-flux correlations between genes (y-axis) and significant reactions fluxes (x-axis). d Pathway depiction of nicotinate and nicotinamide metabolism and phthiocerol biosynthesis with objective variables plotted. Coenzyme-A generation from L-asparagine through aspartate decarboxylase (ASPTA) and citrate synthase (CS) is also depicted. Traced allelic effects are shown as dashed lines and colored for pncA, ansP2, and ppsA.
