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Fig. 4 | Microbiome

Fig. 4

From: The diversity of uncharacterized antibiotic resistance genes can be predicted from known gene variants—but not always

Fig. 4

Average Spearman correlation between environments for different subsets of resistance genes. The tet(Q) gene represents the most predictive resistance gene overall, the “most representative” set are the genes that are found to be among the most predictive in at least three environments, and the “top 10” and “top 4” sets represent the ten and four most predictive resistance genes, respectively. The “qPCR 10” set consists of ten of the most commonly used genes in qPCR studies of environmental antibiotic resistance, and the “qPCR classes” set represents a set where one gene was selected from each antibiotic class among the most common qPCR targets. The “Berendonk et al.” set represents genes suggested for environmental monitoring by Berendonk et al. [25]

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