ArticleBMC veterinary research2023
Molecular characterization of Glaesserella parasuis strains circulating in North American swine production systems.
Article in BMC veterinary research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 15 citations in OpenAlex.
- Transcriptomic Profiling Reveals Candidate lncRNA-S100-GPCR Co-Expression Networks in Lungs of Piglets Infected withAnimals : an open access journal from MDPI · 2026Article
- Global whole-genome, phylodynamic, and machine-learning analysis ofApplied and environmental microbiology · 2026Article
- Evidence for Genotype-Associated Differences in Disease Severity and Limitations of Serotype-Based Classification inPathogens (Basel, Switzerland) · 2026Article
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- Baicalin, Amoxicillin, and Probenecid Provide Protection in Mice AgainstBiomolecules · 2025Article
- Comparison of antimicrobial susceptibility of Glaesserella parasuis from different pig production systems in Taiwan between 2015 and 2020.Porcine health management · 2025Article
- Genomic insights into diversity, antimicrobial resistance and virulence ofFrontiers in microbiology · 2025Article
- Epidemiological and comparative genomic analysis of pathogenicFrontiers in microbiology · 2025Article
- Genomic insight into the diversity ofmSphere · 2024Article
- Virulence and Antimicrobial Resistance Characterization ofAntibiotics (Basel, Switzerland) · 2024Article
- Distribution ofThe Canadian veterinary journal = La revue veterinaire canadienne · 2024Article
- Detection of antimicrobial resistance inFrontiers in microbiology · 2024Article
- Detection and disease diagnosis trends (2017-2022) for Streptococcus suis, Glaesserella parasuis, Mycoplasma hyorhinis, Actinobacillus suis and Mycoplasma hyosynoviae at Iowa State University Veterinary Diagnostic Laboratory.BMC veterinary research · 2023Article
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Authors and funding
12 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlaesserella parasuis is the causative agent of Glässer's disease in pigs. Serotyping is the most common method used to type G. parasuis isolates. However, the high number of non-typables (NT) and low discriminatory power make serotyping problematic. In this study, 218 field clinical isolates and 15 G. parasuis reference strains were whole-genome sequenced (WGS). Multilocus sequence types (MLST), serotypes, core-genome phylogeny, antimicrobial resistance (AMR) genes, and putative virulence gene information was extracted.
resultsIn silico WGS serotyping identified 11 of 15 serotypes. The most frequently detected serotypes were 7, 13, 4, and 2. MLST identified 72 sequence types (STs), of which 66 were novel. The most predominant ST was ST454. Core-genome phylogeny depicted 3 primary lineages (LI, LII, and LIII), with LIIIA sublineage isolates lacking all vtaA genes, based on the structure of the phylogenetic tree and the number of virulence genes. At least one group 1 vtaA virulence genes were observed in most isolates (97.2%), except for serotype 8 (ST299 and ST406), 15 (ST408 and ST552) and NT (ST448). A few group 1 vtaA genes were significantly associated with certain serotypes or STs. The putative virulence gene lsgB, was detected in 8.3% of the isolates which were predominantly of serotype 5/12. While most isolates carried the bcr, ksgA, and bacA genes, the following antimicrobial resistant genes were detected in lower frequency; blaZ (6.9%), tetM (3.7%), spc (3.7%), tetB (2.8%), bla-ROB-1 (1.8%), ermA (1.8%), strA (1.4%), qnrB (0.5%), and aph3''Ia (0.5%).
conclusionThis study showed the use of WGS to type G. parasuis isolates and can be considered an alternative to the more labor-intensive and traditional serotyping and standard MLST. Core-genome phylogeny provided the best strain discrimination. These findings will lead to a better understanding of the molecular epidemiology and virulence in G. parasuis that can be applied to the future development of diagnostic tools, autogenous vaccines, evaluation of antibiotic use, prevention, and disease control.
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