Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i>
The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-t...
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MDPI AG
2024-01-01
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| author | Andrey Shelenkov Yulia Mikhaylova Vasiliy Akimkin |
| author_facet | Andrey Shelenkov Yulia Mikhaylova Vasiliy Akimkin |
| author_sort | Andrey Shelenkov |
| collection | DOAJ |
| description | The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates, usually called ‘the clones of high risk’, often drive the spread of resistance within particular species. Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole-genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and the development of spread prevention measures. However, the availability and uniformity of the data derived from genomic sequences often represent a bottleneck for such investigations. With this dataset, we present the results of a genomic epidemiology analysis of 17,546 genomes of a dangerous bacterial pathogen, <i>Acinetobacter baumannii</i>. Important typing information, including multilocus sequence typing (MLST)-based sequence types (STs), intrinsic <i>bla<sub>OXA-51-like</sub></i> gene variants, capsular (KL) and oligosaccharide (OCL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to nine known international clones of high risk. The presence of antimicrobial resistance genes within the genomes is also reported. These data will be useful for researchers in the field of <i>A. baumannii</i> genomic epidemiology, resistance analysis, and prevention measure development. |
| first_indexed | 2024-03-07T22:37:04Z |
| format | Article |
| id | doaj.art-ee61c0a82ade4f039d7ecc6167fe907a |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-07T22:37:04Z |
| publishDate | 2024-01-01 |
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| series | Data |
| spelling | doaj.art-ee61c0a82ade4f039d7ecc6167fe907a2024-02-23T15:13:29ZengMDPI AGData2306-57292024-01-01922210.3390/data9020022Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i>Andrey Shelenkov0Yulia Mikhaylova1Vasiliy Akimkin2Central Research Institute of Epidemiology, Novogireevskaya str., 3a, 111123 Moscow, RussiaCentral Research Institute of Epidemiology, Novogireevskaya str., 3a, 111123 Moscow, RussiaCentral Research Institute of Epidemiology, Novogireevskaya str., 3a, 111123 Moscow, RussiaThe infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates, usually called ‘the clones of high risk’, often drive the spread of resistance within particular species. Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole-genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and the development of spread prevention measures. However, the availability and uniformity of the data derived from genomic sequences often represent a bottleneck for such investigations. With this dataset, we present the results of a genomic epidemiology analysis of 17,546 genomes of a dangerous bacterial pathogen, <i>Acinetobacter baumannii</i>. Important typing information, including multilocus sequence typing (MLST)-based sequence types (STs), intrinsic <i>bla<sub>OXA-51-like</sub></i> gene variants, capsular (KL) and oligosaccharide (OCL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to nine known international clones of high risk. The presence of antimicrobial resistance genes within the genomes is also reported. These data will be useful for researchers in the field of <i>A. baumannii</i> genomic epidemiology, resistance analysis, and prevention measure development.https://www.mdpi.com/2306-5729/9/2/22<i>Acinetobacter baumannii</i>healthcare-associated infectionsgenomic epidemiologywhole-genome sequencingcgMLSTinternational clones of high risk |
| spellingShingle | Andrey Shelenkov Yulia Mikhaylova Vasiliy Akimkin Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i> Data <i>Acinetobacter baumannii</i> healthcare-associated infections genomic epidemiology whole-genome sequencing cgMLST international clones of high risk |
| title | Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i> |
| title_full | Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i> |
| title_fullStr | Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i> |
| title_full_unstemmed | Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i> |
| title_short | Genomic Epidemiology Dataset for the Important Nosocomial Pathogenic Bacterium <i>Acinetobacter baumannii</i> |
| title_sort | genomic epidemiology dataset for the important nosocomial pathogenic bacterium i acinetobacter baumannii i |
| topic | <i>Acinetobacter baumannii</i> healthcare-associated infections genomic epidemiology whole-genome sequencing cgMLST international clones of high risk |
| url | https://www.mdpi.com/2306-5729/9/2/22 |
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