Fig. 6: Multiple GC factors drive the increase in abundance of different Antibiotic Resistance Genes (ARGs).
From: Soil microbial responses to multiple global change factors as assessed by metagenomics
A Antibiotic inactivation and target protection copy number per cell across treatments; (B) Copy number per cell variation of BJP1 (antibiotic inactivation) and RbpA (antibiotic target protection). C) Correlation between bacterial composition and ARG copy number per cell; (D) Correlation between plasmid frequency and ARG copy number per cell. E) Correlation between phage frequency and ARG copy number per cell. In (A, B), data are represented as boxplots in which the middle line is the median, the lower and upper hinges correspond to the first and third quartiles, the upper whisker extends from the hinge to the highest value no further than 1.5 × interquartile range (IQR) from the hinge and the lower whisker extends from the hinge to the lowest value no further than 1.5 × IQR of the hinge. Asterisks represent different significance levels obtained after a Two-sided Wilcoxon test comparing control samples with the samples to which GC treatments were applied, * indicate p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 and ****p ≤ 0.0001. 10 Control samples, 5 samples for each individual GC treatment, and 10 8-factor samples were considered in the statistical analyses. In (C–E), blue lines represent linear regression lines, and shaded areas indicate 95% confidence intervals. Exact p-values for A and B are provided in Supplementary Tables 9 and 10, respectively. Source data are provided as a Source Data file.
