Genotypic profiling of an ongoing outbreak of multidrug-resistant linezolid resistant Staphylococcus capitis in private hospitals
收藏researchdata.up.ac.za2023-06-13 更新2025-01-22 收录
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https://researchdata.up.ac.za/articles/dataset/Genotypic_profiling_of_an_ongoing_outbreak_of_multidrug-resistant_linezolid_resistant_Staphylococcus_capitis_in_private_hospitals/23036591/1
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This dataset displays data gathered and illustrated in tables and figures format.
Table3.1: The distribution of the 119 linezolid resistant multidrug-resistant Staphylococcus capitis 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 Staphylococcus capitis and detect plasmid-mediated linezolid resistant mechanisms in S. capitis isolates
Table 3.3: The Master mix reaction composition for the M-PCR assay to identify the Staphylococcus capitis isolates and for the detection of the cfr gene in S. capitis isolates
Table 3.4: Distribution of 119 linezolid resistant, multidrug-resistant Staphylococcus capitis 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 Staphylococcus capitis isolates in the study. The various pulsotypes are labelled A to E. The blue box outline indicates the isolates that were chosen for WGS.
本数据集展示了以表格和图形形式收集并展示的数据。
表格3.1:按收集年份排列的119个利奈唑胺耐药的多药耐药性金黄色葡萄球菌(Staphylococcus capitis)分离株的分布情况,包括年龄组、性别和医院所在地区。女性 = F;男性 = M;未知 = U;A = 普雷托利亚;B = 赛图里翁;C = 米德兰;D = 约翰内斯堡;E = 林波波;F = 鲁斯特堡;G = 特里查德。
表格3.2:用于扩增片段以识别金黄色葡萄球菌和检测S. capitis分离株中质粒介导的利奈唑胺耐药机制的基因、引物和PCR条件。
表格3.3:M-PCR检测金黄色葡萄球菌分离株和检测S. capitis分离株中的cfr基因所用的Master mix反应成分。
表格3.4:按收集年份、利奈唑胺耐药的最小抑菌浓度和抗微生物药物耐药性(MDR)药物数量分布的119个利奈唑胺耐药的多药耐药性金黄色葡萄球菌分离株。n = 分离株数量;U = 未知。
图3.1:地图展示了收集分离株的医院在更大格特彭地区的位置。区域标记为A至G,医院以数字子标记,并按颜色区分。每个标签的大小对应于从该医院收集的分离株数量。该地图使用Tableau(Salesforce Inc,美国)创建。
图3.2:展示研究中的金黄色葡萄球菌分离株遗传相关性的树状图。各种脉冲型标记为A至E。蓝色框轮廓表示选择的进行全基因组测序的分离株。
提供机构:
University of Pretoria



