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Fig. 6 | Microbiome

Fig. 6

From: In-depth resistome analysis by targeted metagenomics

Fig. 6

(1) Abundance and diversity of antibiotic resistances. Comparison of ResCap and MSS protocol in antibiotic resistance data. Antibiotic resistance genes were classified among nine antibiotic families (AGly: aminoglycosides, Bla: beta-Lactams, Flq: fluoroquinolones, Gly: glycopeptides, MLS: macrolides, Phe: phenicols, Sul: sulfonamides, Tet: tetracyclines and Tmt: trimethoprim). Abundance (a) was measured as read per kilobase per million reads that mapped against genes or allele-cluster genes of each antibiotic resistance family. Diversity (b) was measured as the number of detected genes per million reads of each antibiotic resistance family

(2) Abundance and diversity of relaxases. Comparison of ResCap and MSS protocol in relaxases dataset. Relaxases were classified in nine protein families (MOBB, MOBC, MOBF, MOBH, MOBP1, MOBP2, MOBQ, MOBT, and MOBV). Abundance (a) was measured as read per kilobase per million reads that mapped against genes or allele-cluster genes of each relaxase family. Diversity (b) was measured as a number of detected genes per million reads of each relaxase family. (3) Abundance and diversity of biocide and metal resistances. Comparison of ResCap and MSS protocol in biocide and metal resistance data. Biocide and metal resistance genes were classified by the type of detoxified targets. Abundance (a) was measured as read per kilobase per million reads that mapped against genes or allele-cluster genes of each target family. Diversity (b) was measured as a number of detected genes per million reads of each target family.

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