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Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates

Actinobacillus equuli is mostly associated with disease in horses and is most widely known as the causative agent of sleepy foal disease. Even though existing phenotypic tools such as biochemical tests, 16S rRNA gene sequencing, and Matrix Assisted Laser Desorption Ionization Time of Flight Mass Spe...

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Autores principales: Vereecke, Nick, Vandekerckhove, Arlette, Theuns, Sebastiaan, Haesebrouck, Freddy, Boyen, Filip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10074821/
https://www.ncbi.nlm.nih.gov/pubmed/37020296
http://dx.doi.org/10.1186/s13567-023-01160-2
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author Vereecke, Nick
Vandekerckhove, Arlette
Theuns, Sebastiaan
Haesebrouck, Freddy
Boyen, Filip
author_facet Vereecke, Nick
Vandekerckhove, Arlette
Theuns, Sebastiaan
Haesebrouck, Freddy
Boyen, Filip
author_sort Vereecke, Nick
collection PubMed
description Actinobacillus equuli is mostly associated with disease in horses and is most widely known as the causative agent of sleepy foal disease. Even though existing phenotypic tools such as biochemical tests, 16S rRNA gene sequencing, and Matrix Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) can be used to identify members of the Actinobacillus genus, these methods struggle to differentiate between certain species and do not allow strain, virulence, and antimicrobial susceptibility typing. Hence, we performed in-depth analysis of 24 equine Actinobacillus isolates using phenotypic identification and susceptibility testing on the one hand, and long-read nanopore whole genome sequencing on the other hand. This allowed to address strain divergence down to the whole genome single nucleotide polymorphism (SNP) level. While lowest resolution was observed for 16S rRNA gene classification, a new multi-locus sequence typing (MLST) scheme allowed proper classification up to the species level. Nevertheless, a SNP-level analysis was required to distinguish A. equuli subspecies equuli and haemolyticus. Our data provided first WGS data on Actinobacillus genomospecies 1, Actinobacillus genomospecies 2, and A. arthritidis, which allowed the identification of a new Actinobacillus genomospecies 1 field isolate. Also, in-depth characterization of RTX virulence genes provided information on the distribution, completeness, and potential complementary nature of the RTX gene operons within the Actinobacillus genus. Even though overall low prevalence of acquired resistance was observed, two plasmids were identified conferring resistance to penicillin-ampicillin-amoxicillin and chloramphenicol in one A. equuli strain. In conclusion our data delivered new insights in the use of long-read WGS in high resolution identification, virulence gene typing, and antimicrobial resistance (AMR) of equine Actinobacillus species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-023-01160-2.
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spelling pubmed-100748212023-04-06 Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates Vereecke, Nick Vandekerckhove, Arlette Theuns, Sebastiaan Haesebrouck, Freddy Boyen, Filip Vet Res Research Article Actinobacillus equuli is mostly associated with disease in horses and is most widely known as the causative agent of sleepy foal disease. Even though existing phenotypic tools such as biochemical tests, 16S rRNA gene sequencing, and Matrix Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) can be used to identify members of the Actinobacillus genus, these methods struggle to differentiate between certain species and do not allow strain, virulence, and antimicrobial susceptibility typing. Hence, we performed in-depth analysis of 24 equine Actinobacillus isolates using phenotypic identification and susceptibility testing on the one hand, and long-read nanopore whole genome sequencing on the other hand. This allowed to address strain divergence down to the whole genome single nucleotide polymorphism (SNP) level. While lowest resolution was observed for 16S rRNA gene classification, a new multi-locus sequence typing (MLST) scheme allowed proper classification up to the species level. Nevertheless, a SNP-level analysis was required to distinguish A. equuli subspecies equuli and haemolyticus. Our data provided first WGS data on Actinobacillus genomospecies 1, Actinobacillus genomospecies 2, and A. arthritidis, which allowed the identification of a new Actinobacillus genomospecies 1 field isolate. Also, in-depth characterization of RTX virulence genes provided information on the distribution, completeness, and potential complementary nature of the RTX gene operons within the Actinobacillus genus. Even though overall low prevalence of acquired resistance was observed, two plasmids were identified conferring resistance to penicillin-ampicillin-amoxicillin and chloramphenicol in one A. equuli strain. In conclusion our data delivered new insights in the use of long-read WGS in high resolution identification, virulence gene typing, and antimicrobial resistance (AMR) of equine Actinobacillus species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-023-01160-2. BioMed Central 2023-04-05 2023 /pmc/articles/PMC10074821/ /pubmed/37020296 http://dx.doi.org/10.1186/s13567-023-01160-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Vereecke, Nick
Vandekerckhove, Arlette
Theuns, Sebastiaan
Haesebrouck, Freddy
Boyen, Filip
Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates
title Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates
title_full Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates
title_fullStr Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates
title_full_unstemmed Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates
title_short Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates
title_sort whole genome sequencing to study antimicrobial resistance and rtx virulence genes in equine actinobacillus isolates
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10074821/
https://www.ncbi.nlm.nih.gov/pubmed/37020296
http://dx.doi.org/10.1186/s13567-023-01160-2
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