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Global multi-host genomic epidemiology of Acinetobacter baumannii reveals transmission at one health interfaces
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  • Published: 28 April 2026

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

  • Alejandro Aguilar-Vera  ORCID: orcid.org/0000-0003-0665-33551,
  • Rafael López-Sánchez1,
  • Alfredo J. Hernández-Alvarez2,
  • David Vargas-Peralta1,
  • Humberto Peralta1 &
  • …
  • Santiago Castillo-Ramírez  ORCID: orcid.org/0000-0003-3922-70881 

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Subjects

  • Environmental microbiology
  • Infectious-disease epidemiology

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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Acknowledgements

We extend warm thanks to Victor Manuel del Moral Chávez for managing the servers and cluster on which most of the in silico analyses were run. We also thank Valeria Mateo for helping with the initial attempts to classify the host source of a very preliminary database. S.C.R. would like to thank Carlos Méndez for helpful discussions on supervised and unsupervised learning. S.C.R. is supported by PAPIIT-UNAM (grant number IN209524), whereas A.A.V. is supported by PAPIIT-UNAM (grant number IF203126). A postdoctoral fellowship from DGAPA-UNAM funds R.L.S.

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Authors and Affiliations

  1. Programa de Genómica Evolutiva, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México

    Alejandro Aguilar-Vera, Rafael López-Sánchez, David Vargas-Peralta, Humberto Peralta & Santiago Castillo-Ramírez

  2. Unidad de Administración de Tecnologías de la Información, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México

    Alfredo J. Hernández-Alvarez

Authors
  1. Alejandro Aguilar-Vera
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  2. Rafael López-Sánchez
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  4. David Vargas-Peralta
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Corresponding author

Correspondence to Santiago Castillo-Ramírez.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Aguilar-Vera, A., López-Sánchez, R., Hernández-Alvarez, A.J. et al. Global multi-host genomic epidemiology of Acinetobacter baumannii reveals transmission at one health interfaces. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72585-4

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  • Received: 28 November 2025

  • Accepted: 16 April 2026

  • Published: 28 April 2026

  • DOI: https://doi.org/10.1038/s41467-026-72585-4

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