Genotypic profiling of an ongoing outbreak of multidrug-resistant linezolid resistant Staphylococcus capitis in private hospitals

This dataset displays data gathered and illustrated in tables and figures format. Table3.1: The distribution of the 119 linezolid resistant multidrug-resistant <em>Staphylococcus capitis</em> isolates arranged by the year of collection, along with age groups, gender and region of the hospitals. Female = F; Male = M; Unknown = U; A = Pretoria; B = Centurion; C = Midrand; D = Johannesburg; E = Limpopo; F = Rustenburg; G = Trichardt Table 3.2: Genes, primers and PCR conditions that were used for the amplification of fragments to identify <em>Staphylococcus capitis</em> and detect plasmid-mediated linezolid resistant mechanisms in <em>S. capitis</em> isolates Table 3.3: The Master mix reaction composition for the M-PCR assay to identify the <em>Staphylococcus capitis</em> isolates and for the detection of the <em>cfr</em> gene in <em>S. capitis</em> isolates Table 3.4: Distribution of 119 linezolid resistant, multidrug-resistant <em>Staphylococcus capitis</em> isolates by year of collection, linezolid resistant minimum inhibitory concentration, and number of antimicrobial agents resistant (MDR). n = number of isolates; U = unknown Figure 3.1: The map displays the locations of hospitals in the greater Gauteng area where isolates were collected. Regions are labelled A to G, hospitals are sub-labelled by numbers and differentiated by color. The size of each label corresponds to the number of isolates collected from that hospital. The map was created using Tableau (Salesforce Inc, USA). Figure 3.2: Dendrogram showing the genetic relatedness of the <em>Staphylococcus capitis</em> isolates in the study. The various pulsotypes are labelled A to E. The blue box outline indicates the isolates that were chosen for WGS.