Fig. 4: Influence of genetic background on resistance evolution.
From: High-throughput method characterizes hundreds of previously unknown antibiotic resistance mutations
A The mean number of targeted genes (including regulatory targets) in samples from each of the 12 different conditions, with individual replicates shown (n = 3). The star indicates significance in a one-way ANOVA (P = 0.021) with FDR correction for multiple comparisons. B Principal component analysis of the 12 antibiotic/strain combinations, using the number of samples (0–3) from each condition that every mutation was observed in. The inset panel is a scree plot indicating the percentage of variance described by each principal component. C The likelihood of a gene being targeted by mutations can depend on the strain’s genetic background. This was observed for MDR genes (top row) as well as ASR genes (bottom three rows). Shown are the top mutational targets with significant strain effects, determined by a generalized linear model. Source data are provided as a Source Data file.
