Genomic analysis of 61 Chlamydia psittaci strains reveals extensive divergence associated with host preference.

Chlamydia psittaci Genome analysis Host preference Inclusion proteins Phylogeny Plasmid Plasticity zone Polymorphic membrane proteins

Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
29 May 2023
Historique:
received: 20 09 2022
accepted: 09 05 2023
medline: 31 5 2023
pubmed: 30 5 2023
entrez: 29 5 2023
Statut: epublish

Résumé

Chlamydia (C.) psittaci, the causative agent of avian chlamydiosis and human psittacosis, is a genetically heterogeneous species. Its broad host range includes parrots and many other birds, but occasionally also humans (via zoonotic transmission), ruminants, horses, swine and rodents. To assess whether there are genetic markers associated with host tropism we comparatively analyzed whole-genome sequences of 61 C. psittaci strains, 47 of which carrying a 7.6-kbp plasmid. Following clean-up, reassembly and polishing of poorly assembled genomes from public databases, phylogenetic analyses using C. psittaci whole-genome sequence alignment revealed four major clades within this species. Clade 1 represents the most recent lineage comprising 40/61 strains and contains 9/10 of the psittacine strains, including type strain 6BC, and 10/13 of human isolates. Strains from different non-psittacine hosts clustered in Clades 2- 4. We found that clade membership correlates with typing schemes based on SNP types, ompA genotypes, multilocus sequence types as well as plasticity zone (PZ) structure and host preference. Genome analysis also revealed that i) sequence variation in the major outer membrane porin MOMP can result in 3D structural changes of immunogenic domains, ii) past host change of Clade 3 and 4 strains could be associated with loss of MAC/perforin in the PZ, rather than the large cytotoxin, iii) the distinct phylogeny of atypical strains (Clades 3 and 4) is also reflected in their repertoire of inclusion proteins (Inc family) and polymorphic membrane proteins (Pmps). Our study identified a number of genomic features that can be correlated with the phylogeny and host preference of C. psittaci strains. Our data show that intra-species genomic divergence is associated with past host change and includes deletions in the plasticity zone, structural variations in immunogenic domains and distinct repertoires of virulence factors.

Sections du résumé

BACKGROUND BACKGROUND
Chlamydia (C.) psittaci, the causative agent of avian chlamydiosis and human psittacosis, is a genetically heterogeneous species. Its broad host range includes parrots and many other birds, but occasionally also humans (via zoonotic transmission), ruminants, horses, swine and rodents. To assess whether there are genetic markers associated with host tropism we comparatively analyzed whole-genome sequences of 61 C. psittaci strains, 47 of which carrying a 7.6-kbp plasmid.
RESULTS RESULTS
Following clean-up, reassembly and polishing of poorly assembled genomes from public databases, phylogenetic analyses using C. psittaci whole-genome sequence alignment revealed four major clades within this species. Clade 1 represents the most recent lineage comprising 40/61 strains and contains 9/10 of the psittacine strains, including type strain 6BC, and 10/13 of human isolates. Strains from different non-psittacine hosts clustered in Clades 2- 4. We found that clade membership correlates with typing schemes based on SNP types, ompA genotypes, multilocus sequence types as well as plasticity zone (PZ) structure and host preference. Genome analysis also revealed that i) sequence variation in the major outer membrane porin MOMP can result in 3D structural changes of immunogenic domains, ii) past host change of Clade 3 and 4 strains could be associated with loss of MAC/perforin in the PZ, rather than the large cytotoxin, iii) the distinct phylogeny of atypical strains (Clades 3 and 4) is also reflected in their repertoire of inclusion proteins (Inc family) and polymorphic membrane proteins (Pmps).
CONCLUSIONS CONCLUSIONS
Our study identified a number of genomic features that can be correlated with the phylogeny and host preference of C. psittaci strains. Our data show that intra-species genomic divergence is associated with past host change and includes deletions in the plasticity zone, structural variations in immunogenic domains and distinct repertoires of virulence factors.

Identifiants

pubmed: 37248517
doi: 10.1186/s12864-023-09370-w
pii: 10.1186/s12864-023-09370-w
pmc: PMC10226258
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

288

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : FZT 118 - iDiv 202548816

Informations de copyright

© 2023. The Author(s).

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Auteurs

Konrad Sachse (K)

RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743, Jena, Germany. konrad.sachse@uni-jena.de.

Martin Hölzer (M)

Methodology and Research Infrastructure, Bioinformatics, Robert Koch Institute, 13353, Berlin, Germany.

Fabien Vorimore (F)

Laboratory for Animal Health, Identypath, ANSES Maisons-Alfort, Paris-Est University, 94706, Paris, France.

Lisa-Marie Barf (LM)

RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743, Jena, Germany.

Carsten Sachse (C)

Ernst-Ruska Centre 3 / Structural Biology, Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52425, Jülich, Germany.
Institute for Biological Information Processing 6 / Structural Cellular Biology, Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52425, Jülich, Germany.
Department of Biology, Heinrich Heine University, Universitätsstr. 1, 40225, Düsseldorf, Germany.

Karine Laroucau (K)

Laboratory for Animal Health, Bacterial Zoonosis Unit, ANSES Maisons-Alfort, Paris-Est University, 94706, Paris, France.

Manja Marz (M)

RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743, Jena, Germany.

Kevin Lamkiewicz (K)

RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743, Jena, Germany.
JRG Analytical MicroBioinformatics, Friedrich Schiller University Jena, 07743, Jena, Germany.

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