Genomic Epidemiology Dataset for Important Nosocomial Pathogenic Bacteria <em>Acinetobacter baumannii</em> DOI Open Access
Andrey Shelenkov,

Yulia Mikhaylova,

В. Г. Акимкин

и другие.

Опубликована: Ноя. 29, 2023

The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. growing resistance antimicrobial drugs acquired species causing healthcare-associated has already become life-threatening danger noticed the World Health Organization. Several groups or lineages of isolates usually called ‘the clones high risk’ often drive spread within particular species. Thus, it is vitally important reveal track such mechanisms which they acquire antibiotic enhance their survival skills. Currently, analysis whole genome sequences for interest increasingly used these purposes, including epidemiological surveillance developing prevention measures. However, availability uniformity data derived from genomic represents bottleneck investigations. In this dataset, we present results comprehensive epidemiology 17,546 genomes dangerous pathogen Acinetobacter baumannii. Important typing information multilocus sequence (MLST)-based types (STs), intrinsic blaOXA-51-like gene variants, capsular (KL) oligosaccharide (OCL) types, CRISPR-Cas systems, cgMLST profiles are presented, as well assignment nine known international risk. presence genes also reported. These will be useful researchers field A. baumannii epidemiology, measure development.

Язык: Английский

Genomic Epidemiology Dataset for Important Nosocomial Pathogenic Bacteria <em>Acinetobacter baumannii</em> DOI Open Access
Andrey Shelenkov,

Yulia Mikhaylova,

В. Г. Акимкин

и другие.

Опубликована: Ноя. 29, 2023

The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. growing resistance antimicrobial drugs acquired species causing healthcare-associated has already become life-threatening danger noticed the World Health Organization. Several groups or lineages of isolates usually called ‘the clones high risk’ often drive spread within particular species. Thus, it is vitally important reveal track such mechanisms which they acquire antibiotic enhance their survival skills. Currently, analysis whole genome sequences for interest increasingly used these purposes, including epidemiological surveillance developing prevention measures. However, availability uniformity data derived from genomic represents bottleneck investigations. In this dataset, we present results comprehensive epidemiology 17,546 genomes dangerous pathogen Acinetobacter baumannii. Important typing information multilocus sequence (MLST)-based types (STs), intrinsic blaOXA-51-like gene variants, capsular (KL) oligosaccharide (OCL) types, CRISPR-Cas systems, cgMLST profiles are presented, as well assignment nine known international risk. presence genes also reported. These will be useful researchers field A. baumannii epidemiology, measure development.

Язык: Английский

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