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ORIGINAL RESEARCH article

Front. Microbiol.

Sec. Infectious Agents and Disease

Genomic Diversity and Host-Specificity in Corynebacterium pseudotuberculosis using Comparative Population Genomics

Provisionally accepted
  • 1School of Veterinary Medicine, University of California, Davis, Davis, United States
  • 2Texas A&M University, College Station, United States
  • 3Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
  • 4Universitatsmedizin Gottingen, Göttingen, Germany

The final, formatted version of the article will be published soon.

Corynebacterium pseudotuberculosis is a facultative intracellular pathogen responsible for chronic infections in livestock, primarily small ruminants and horses, with occasional zoonotic transmission. To investigate the genomic diversity, evolutionary stability, and host adaptation of this species, we analyzed 788 high-quality genomes representing isolates from diverse hosts, geographic regions, and time periods. Comparative population genomics revealed remarkably conserved genome architecture, supporting a closed pangenome with minimal accessory gene variation. Virulence and antimicrobial resistance (AMR) screening across multiple databases confirmed the universal presence of phospholipase D (pld) and the absence of major horizontally acquired AMR determinants, except for APH(3′)-IIa, TEM-116, and APH(3′)- IIIa in a few goat isolates from Brazil. Distinct metabolic features between biovars were conserved, notably nitrate reduction and molybdenum cofactor biosynthesis in biovar equi. However, gene presence/absence alone did not explain host specificity. Instead, machine learning applied to 8,028 core-genome SNPs identified allelic variants associated with host origin, particularly in genes linked to amino-acid biosynthesis and peptide transport (Opp system). These findings demonstrate that host adaptation in this species is driven by fine-scale SNP variation within core metabolic pathways, rather than acquisition of classical virulence or resistance genes, highlighting the species' exceptional genomic stability and narrow evolutionary flexibility.

Keywords: host/microbeassociation, machine learning, pangenome, Point Mutation, SNP

Received: 27 Oct 2025; Accepted: 28 Jan 2026.

Copyright: © 2026 Profeta, Schlesener, Shaw, Busch, Heller, Spier, Wu, Welch, Viana, BARROSO, Brenig, Azevedo and Weimer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Bart C Weimer

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