Evidence map›Paper›PMID 28122598›Full record

ArticleParasites & vectors2017

Novel Chlamydiales genotypes identified in ticks from Australian wildlife.

Delaney Burnard, Haylee Weaver, Amber Gillett, Joanne Loader, Cheyne Flanagan, Adam Polkinghorne

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. European journal of microbiology & immunology · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Delaney BurnardCentre for Animal Health Innovation, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Sippy Downs, QLD, 4556, Australia.
Haylee WeaverAustralian Government, Department of Environment and Energy, Australian Biological Resources Study, GPO Box 787, Canberra, ACT, 2601, Australia.
Amber GillettAustralia Zoo Wildlife Hospital, Steve Irwin Way, Beerwah, QLD, 4519, Australia.
Joanne LoaderEndeavour Veterinary Ecology Pty Ltd, 1695 Pumicestone Rd, Toorbul, QLD, 4510, Australia.
Cheyne FlanaganPort Macquarie Koala Hospital, Roto House Historic Site, Cnr Lord Street and Roto Place, Port Macquarie, 2444, NSW, Australia.
Adam PolkinghorneCentre for Animal Health Innovation, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Sippy Downs, QLD, 4556, Australia. apolking@usc.edu.au.
University of the Sunshine Coast · AUAustralian Biological Resources StudyAustralia Zoo · AUPort Macquarie Base Hospital · AUReef Ecologic · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMembers of the order Chlamydiales are known for their potential as human and veterinary bacterial pathogens. Despite this recognition, epidemiological factors such as routes of transmission are yet to be fully defined. Ticks are well known vectors for many other infections with several reports recently describing the presence of bacteria in the order Chlamydiales in these arthropods. Australian wildlife are hosts to an extensive range of tick species. Evidence is also growing that the marsupial hosts these ticks parasitise can also be infected by a number of bacteria in the order Chlamydiales, with at least one species, Chlamydia pecorum, posing a significant conservation threat. In the current study, we investigated the presence and identity of Chlamydiales in 438 ixodid ticks parasitizing wildlife in Australia by screening with a pan-Chlamydiales specific targeting the 16S rRNA gene.

resultsPan-Chlamydiales specific PCR assays confirmed the common presence of Chlamydiales in Australian ticks parasitising a range of native wildlife. Interestingly, we did not detect any Chlamydiaceae, including C. pecorum, the ubiquitous pathogen of the koala. Instead, the Chlamydiales diversity that could be resolved indicated that Australian ticks carry at least six novel Chlamydiales genotypes. Phylogenetic analysis of the 16S rRNA sequences (663 bp) of these novel Chlamydiales suggests that three of these genotypes are associated with the Simkaniaceae and putatively belong to three distinct novel strains of Fritschea spp. and three genotypes are related to the "Ca. Rhabdochlamydiaceae" and putatively belong to a novel genus, Rhabdochlamydia species and strain, respectively.

conclusionsSequence results suggest Australian wildlife ticks harbour a range of unique Chlamydiales bacteria that belong to families previously identified in a range of arthropod species. The results of this work also suggest that it is unlikely that arthropods act as vectors of pathogenic members of the family Chlamydiaceae, including C. pecorum, in Australian wildlife. The biology of novel Chlamydiales identified in arthropods remain unknown. The pathogenic role of the novel Chlamydiales identified in this study and the role that ticks may play in their transmission needs to be explored further.

Indexed as

GenotypeAnimalsAnimals, WildAustraliaChlamydialesFemaleIxodidaeMarsupialiaPhylogenyRNA, BacterialRNA, Ribosomal, 16STick InfestationsRNA, BacterialRNA, Ribosomal, 16SAustraliaChlamydiaChlamydia-like organismsMarsupialsTicksTransmissionVectorWildlife

Identifiers

PMID28122598
PMCPMC5267465
OpenAlexW2582267003

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.