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May 1, 2026Nature Communications0 citationsOpen Access

Global multi-host genomic epidemiology of Acinetobacter baumannii reveals transmission at one health interfaces

AAAlejandro Aguilar-VeraRLRafael López-SánchezAHAlfredo J. Hernández-Alvarez

Key Points

  • This research aims to analyze the genomic diversity of Acinetobacter baumannii across human and non-human sources.
  • Collected a dataset of over 23,000 genomes from human and non-human sources.
  • Conducted analyses including Average Nucleotide Identity and Sequence Type diversity.
  • Performed phylogenomic tree construction and resistome analysis.
  • Non-human A. baumannii isolates exhibited greater diversity than human isolates.
  • Phylogenomic analysis indicated ongoing transmission between humans and non-human sources.
  • Significant numbers of antibiotic resistance genes were found in non-human isolates from sources like dogs and horses.

Abstract

Acinetobacter baumannii is one of the most important antibiotic-resistant bacterial pathogens. While human clinical isolates have been extensively studied, genomic information from non-human sources remains limited. Here, gathering a dataset of > 23,000 genomes from many sources, we provide a comprehensive view of non-human A. baumannii. Average Nucleotide Identity (ANI) and Sequence Type (ST) diversity analyses show that non-human isolates are more diverse than the human isolates. Furthermore, the non-human isolates have an open pangenome. Notably, phylogenomic tree and population structure analysis suggest constant transmission between humans and non-human sources, with source-specific lineages. Finally, resistome analysis reveals that bacteria from diverse sources, such as dogs, horses, and wastewater, carry significant numbers of antibiotic resistance genes (ARGs). Together, these results suggest that non-human A. baumannii are vastly diverse and may pose a public health concern, stressing the need for more research on non-human sources of bacterial pathogens through an explicit One Health surveillance approach. On a more general level, this work highlights the relevance of multi-host genomic epidemiology approximations to better understand important human pathogens.

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Cite This Study

Aguilar-Vera et al. (2026) studied this question.

synapsesocial.com/papers/69f443e8967e944ac556701chttps://doi.org/10.1038/s41467-026-72585-4
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