Evidence map›Paper›PMID 40640834›Full record

ArticleBMC veterinary research2025

Genomic snapshot of Klebsiella spp. isolates from clinically ill animals reveal diverse lineages with limited relatedness to human isolates.

Gordon Martin, Gregory H Tyson, Jake Guag, Errol Strain, Olgica Ceric

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Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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  3. Characterization and pathogenic mechanisms of aFrontiers in microbiology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Gordon MartinCenter for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, USA.
Gregory H TysonCenter for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, USA.
Jake GuagCenter for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, USA.
Errol StrainCenter for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, USA.
Olgica CericCenter for Veterinary Medicine, United States Food and Drug Administration, Laurel, MD, USA. Olgica.Ceric@fda.hhs.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKlebsiella spp. is an important human and animal pathogen, and it is commonly found with resistance to clinically important antimicrobials worldwide. The main goals of this study were to determine the prevalence of antimicrobial resistance genes in our study population and to assess the relatedness between Klebsiella spp. isolated from humans and animals. Isolates were collected in 2019 and 2020 from various animal hosts that presented to veterinary hospitals in the U.S. that participate in the FDA's Center for Veterinary Medicine Veterinary Laboratory Investigation and Response Network's antimicrobial resistance monitoring program.

resultsWe sequenced a total of 204 Klebsiella spp. isolates. A majority of isolates were identified as K. pneumoniae (149/204, 73.0%), followed by K. quasipneumoniae (30/204, 14.7%), K. variicola (15/204, 7.4%), K. aerogenes (5/204, 2.5%), K. oxytoca (4/204, 2.0%), and K. grimontii (1/204, 0.5%). Out of 204 isolates, 138 were recovered from dogs, 25 from horses, 17 from cats, 6 from avian species, 5 from cows and 3 from pigs. The remaining 10 isolates were recovered from a few other mammal species. Klebsiella spp. isolates were very diverse. In silico multilocus sequence typing (MLST), using WGS data, identified a total of 88 known sequence types across all isolates. Seventeen isolates were not assigned an MLST sequence type due to combinations of alleles not previously found in the PubMLST database. 45 of the 204 isolates were assigned to 20 different single nucleotide polymorphism (SNP) clusters in the National Center for Biotechnology Information (NCBI) Pathogen Detection browser, and out of those, four isolates were assigned SNP clusters that also contained human isolates, all from dogs. The closest human isolate was 29 SNPs from a dog isolate. A total of 36 resistance genes were identified. The three most common resistance genes were oqxAB, fosA, and bla

conclusionsTo our knowledge, this is the largest collection of sequenced Klebsiella from sick animals ever assembled, and the results found limited relatedness between these isolates and those from humans, despite the diversity of sequenced isolates.

Indexed as

KlebsiellaKlebsiella InfectionsAnimalsAnti-Bacterial AgentsCatsCattleDogsDrug Resistance, BacterialGenome, BacterialHorsesHumansMicrobial Sensitivity TestsMultilocus Sequence TypingSwineAnti-Bacterial AgentsAntimicrobial resistanceAntimicrobial resistance monitoringKlebsiella sppOne healthWhole-genome sequencing

Identifiers

PMID40640834
PMCPMC12247286

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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.