Whole genome sequence data set of methicillin-resistant Staphylococcus aureus isolated from a milkman associated with cows with subclinical mastitis in Kiruhura district, Uganda.

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2026-08-25 eCollection Date: 2026-08-01 DOI:10.1016/j.dib.2026.113196

Reagan Muhwezi, Vidya Sankarapandian, G R Neel, Emmanuel Eilu, Ambrose Shabohurira, Musoba Abubakar, Lutaya Festus David, Sulman Muhanguzi, Theophilus Pius, Naheem Adekilekun Tijani, Danladi Makeri

引用次数: 0

Abstract

The whole-genome sequence data set for methicillin-resistant Staphylococcus aureus, which was isolated from a milkman associated with cows with subclinical mastitis in the Kiruhura district of Uganda, is presented here. The assembled genome size was 2822,509 bp, with a 33% GC, 2 Contigs, a Contig N50 of 2818,424, and 1 Contig L50. You can access the genome sequence and related metadata at https://www.ncbi.nlm.nih.gov/datasets/genome/GCA_056782255.1/. This dataset can be used again for resistance gene mapping, comparing genomic analysis, and comprehending genetic diversity among MRSA isolates from Ugandan milkmen.

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从乌干达基鲁胡拉地区一名与亚临床乳腺炎奶牛相关的送奶工中分离出的耐甲氧西林金黄色葡萄球菌全基因组序列数据集。

本文介绍了对甲氧西林耐药金黄色葡萄球菌的全基因组序列数据集，该金黄色葡萄球菌是从乌干达基鲁胡拉地区与患有亚临床乳腺炎的奶牛相关的一名挤奶工中分离出来的。组装的基因组大小为2822,509 bp， GC为33%，2个Contigs， Contig N50分别为2818,424,1个Contig L50。您可以在https://www.ncbi.nlm.nih.gov/datasets/genome/GCA_056782255.1/上访问基因组序列和相关元数据。该数据集可再次用于抗性基因定位，比较基因组分析，并了解乌干达牛奶工MRSA分离株的遗传多样性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.