Evidence map›Paper›PMID 42049772›Full record

ArticleNature communications2026

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

Alejandro Aguilar-Vera, Rafael López-Sánchez, Alfredo J Hernández-Alvarez, David Vargas-Peralta, Humberto Peralta, Santiago Castillo-Ramírez

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The (un)successful global spread ofMicrobial genomics · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alejandro Aguilar-VeraPrograma de Genómica Evolutiva, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México.ORCID http://orcid.org/0000-0003-0665-3355
Rafael López-SánchezPrograma de Genómica Evolutiva, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México.
Alfredo J Hernández-AlvarezUnidad de Administración de Tecnologías de la Información, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México.
David Vargas-PeraltaPrograma de Genómica Evolutiva, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México.
Humberto PeraltaPrograma de Genómica Evolutiva, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México.
Santiago Castillo-RamírezPrograma de Genómica Evolutiva, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, México. iago@ccg.unam.mx.ORCID http://orcid.org/0000-0003-3922-7088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Acinetobacter baumanniiAcinetobacter InfectionsGenome, BacterialOne HealthAnimalsDogsDrug Resistance, Multiple, BacterialGenomicsHorsesHumansMolecular EpidemiologyPhylogeny

Identifiers

PMID42049772
PMCPMC13332037

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.