Fig. 2: Gen × Env × Inf interactions drive MLN variation.
From: Genetic and environmental interactions contribute to immune variation in rewilded mice
a, Bar plots showing the pseudo R2 measure of effect size of predictor variables and interactions as calculated by MDMR. Block 2 (n = 73; 21 129S1, 30 C57BL/6 and 22 PWK/PhJ mice). b, PCA of immune cell clusters identified by unsupervised clustering in the MLN with the lymphoid panel and the loading factor of each population along the PCA. Block 2 (n = 73; 21 129S1, 30 C57BL/6 and 22 PWK/PhJ mice). c, Box plot showing variance on PC1 and PC2 axes of PCA plots in a. The box plot center line represents median, the boundaries represent IQR, with the whiskers representing the upper and lower quartiles ±1.5 × IQR; all individual data points are shown (129S1 Lab = 10, C57BL/6 = 10, PWK/PhJ Lab = 9, 129S1 RW = 11, C57BL/6 RW = 20, PWK/PhJ RW = 13). d, MLN cell count from each mouse group, n = 136, 129S1 Lab Uninfected = 10, 129S1 Lab T. muris = 10, 129S1 RW Uninfected = 9, 129S1 RW T. muris = 12, C57BL/6 Lab Uninfected = 11, C57BL/6 Lab T. muris = 11, C57BL/6 RW Uninfected = 21, C57BL/6 RW T. muris = 15, PWK/PhJ Lab Uninfected = 8, PWK/PhJ Lab T. muris = 7, PWK/PhJ RW Uninfected = 8, PWK/PhJ RW T. muris = 14. e, Pseudo R2 measure of effect size of predictor variables and interactions as calculated by MDMR analysis based on MLN cell count (n = 136 over two experimental blocks, 129S1 = 41, C57BL/6 = 58, PWK/PhJ = 37). Statistical significance was determined based on MDMR analysis with R package for a and e or based on one-way ANOVA test between different groups with GraphPad software for c and d. Data are displayed as mean ± s.e.m. in bar plots and dots represent individual mice. NS P > 0.05; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.
