<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Luo Q</submitter><pubmed_abstract>In recent decades, Acinetobacter baumannii has become a major global nosocomial pathogen, with bloodstream infections (BSIs) exhibiting mortality rates exceeding 60% and imposing substantial economic burdens. However, limited large-scale genomic epidemiology has hindered understanding of its population dynamics. Here, we analyzed 1506 non-repetitive BSI-causing A. baumannii isolates from 76 Chinese hospitals over a decade (2011-2021). We identified 149 sequence types (STs) and 101 K-locus types (KLs), revealing increased population diversity. International clone (IC) 2 accounted for 81.74% of isolates, with a notable shift in prevalent STs: ST208 increased while ST191 and ST195 declined, aligning with global trends. ST208 exhibited higher virulence, greater antibiotic resistance, enhanced </pubmed_abstract><journal>Nature communications</journal><pagination>3536</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11997098</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Genomic epidemiology and phylodynamics of Acinetobacter baumannii bloodstream isolates in China.</pubmed_title><pmcid>PMC11997098</pmcid><pubmed_authors>Zhang E</pubmed_authors><pubmed_authors>Hu S</pubmed_authors><pubmed_authors>Huang D</pubmed_authors><pubmed_authors>Shen J</pubmed_authors><pubmed_authors>Dong Y</pubmed_authors><pubmed_authors>Quan B</pubmed_authors><pubmed_authors>Shen P</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Hu X</pubmed_authors><pubmed_authors>Man S</pubmed_authors><pubmed_authors>Wang D</pubmed_authors><pubmed_authors>Zhang L</pubmed_authors><pubmed_authors>Luan L</pubmed_authors><pubmed_authors>Guo Q</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Zhang Q</pubmed_authors><pubmed_authors>Wang L</pubmed_authors><pubmed_authors>Zhang P</pubmed_authors><pubmed_authors>Kang H</pubmed_authors><pubmed_authors>Guo L</pubmed_authors><pubmed_authors>Dong H</pubmed_authors><pubmed_authors>Ying C</pubmed_authors><pubmed_authors>Wang S</pubmed_authors><pubmed_authors>Liang J</pubmed_authors><pubmed_authors>Liang K</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Zhang B</pubmed_authors><pubmed_authors>Xia X</pubmed_authors><pubmed_authors>Li J</pubmed_authors><pubmed_authors>Xu R</pubmed_authors><pubmed_authors>He H</pubmed_authors><pubmed_authors>Qiao D</pubmed_authors><pubmed_authors>Li F</pubmed_authors><pubmed_authors>Chen F</pubmed_authors><pubmed_authors>Jin Y</pubmed_authors><pubmed_authors>Xu H</pubmed_authors><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Li Z</pubmed_authors><pubmed_authors>Lu G</pubmed_authors><pubmed_authors>Yang Q</pubmed_authors><pubmed_authors>Lu P</pubmed_authors><pubmed_authors>BRICS Working Group</pubmed_authors><pubmed_authors>Ding H</pubmed_authors><pubmed_authors>Cao J</pubmed_authors><pubmed_authors>Ma Y</pubmed_authors><pubmed_authors>Mao H</pubmed_authors><pubmed_authors>Liu Q</pubmed_authors><pubmed_authors>Qiang X</pubmed_authors><pubmed_authors>Dai Y</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Liu Z</pubmed_authors><pubmed_authors>Jiang X</pubmed_authors><pubmed_authors>Zheng L</pubmed_authors><pubmed_authors>Liao G</pubmed_authors><pubmed_authors>Yu W</pubmed_authors><pubmed_authors>Geng Y</pubmed_authors><pubmed_authors>Li A</pubmed_authors><pubmed_authors>Yin Y</pubmed_authors><pubmed_authors>Chang M</pubmed_authors><pubmed_authors>Xiao Y</pubmed_authors><pubmed_authors>Song D</pubmed_authors><pubmed_authors>Ji J</pubmed_authors><pubmed_authors>Zhu H</pubmed_authors><pubmed_authors>Xiao T</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Yan X</pubmed_authors><pubmed_authors>Kong H</pubmed_authors><pubmed_authors>Song J</pubmed_authors><pubmed_authors>Luo Q</pubmed_authors><pubmed_authors>Huang Y</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Meng L</pubmed_authors><pubmed_authors>Liu D</pubmed_authors><pubmed_authors>Han C</pubmed_authors><pubmed_authors>Tian P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genomic epidemiology and phylodynamics of Acinetobacter baumannii bloodstream isolates in China.</name><description>In recent decades, Acinetobacter baumannii has become a major global nosocomial pathogen, with bloodstream infections (BSIs) exhibiting mortality rates exceeding 60% and imposing substantial economic burdens. However, limited large-scale genomic epidemiology has hindered understanding of its population dynamics. Here, we analyzed 1506 non-repetitive BSI-causing A. baumannii isolates from 76 Chinese hospitals over a decade (2011-2021). We identified 149 sequence types (STs) and 101 K-locus types (KLs), revealing increased population diversity. International clone (IC) 2 accounted for 81.74% of isolates, with a notable shift in prevalent STs: ST208 increased while ST191 and ST195 declined, aligning with global trends. ST208 exhibited higher virulence, greater antibiotic resistance, enhanced </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2026-07-15T08:54:18.323Z</modification><creation>2025-07-10T03:08:29.547Z</creation></dates><accession>S-EPMC11997098</accession><cross_references><pubmed>40229304</pubmed><doi>10.1038/s41467-025-58772-9</doi></cross_references></HashMap>