Complete genome sequence data for Klebsiella pneumoniae superbug strain KAB03 isolated from ready-to-eat vegetable salads in Central Uganda

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2026-08-01 Epub Date: 2026-07-22 DOI:10.1016/j.dib.2026.113094

Abubaker Kawooya, Chinyere Nkemjika Anyanwu, Emmanuel Eilu, Hussein Kafeero, Adam Ahmed Adam, Mariam Oyedeji Amusa, Danladi Makeri, Martin Odoki, Rasheed Omotayo Adeyemo, Michael Ben Okon, Ismail Abiola Adebayo, Saheed Adekunle Akinola

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引用次数: 0

Abstract

We present whole-genome sequence data for the Klebsiella pneumoniae strain KAB03, isolated from Ready-To-Eat Vegetable Salads in Kampala District, Central Uganda. Genomic DNA was extracted and sequenced using the Illumina platform. The assembled genome is 5,772,016 base pairs long with a GC content of 56.7%. The data set includes annotated genes related to cross-resistance to conventional antibiotics and widely used disinfectants or antiseptics, such as bla_SHV-1, KpnF, FosA6, OmpK37, MdtQ, oqxA, and KpnG / KpnH. The genome sequence and accompanying metadata are available at https://www.ncbi.nlm.nih.gov/nuccore/JBWXCM000000000. This data set is suitable in defining a high-risk multidrug-resistance (MDR), public health surveillance, and comparative genomics among K. pneumonia isolates from the environment.

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从乌干达中部即食蔬菜沙拉中分离的肺炎克雷伯菌超级细菌KAB03株的全基因组序列数据

我们报告了从乌干达中部坎帕拉地区即食蔬菜沙拉中分离出的肺炎克雷伯菌KAB03株的全基因组序列数据。基因组DNA提取和测序使用Illumina平台。该基因组全长5772016个碱基对，GC含量为56.7%。该数据集包括与常规抗生素和广泛使用的消毒剂或防腐剂交叉耐药相关的注释基因，如blaSHV-1、KpnF、FosA6、OmpK37、MdtQ、oqxA和KpnG / KpnH。基因组序列和附带的元数据可在https://www.ncbi.nlm.nih.gov/nuccore/JBWXCM000000000上获得。该数据集适用于定义高风险多药耐药（MDR）、公共卫生监测和环境中肺炎克雷伯菌分离株的比较基因组学。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.