Evidence map›Paper›PMID 31395073›Full record

ArticleParasites & vectors2019

Assessment of a metabarcoding approach for the characterisation of vector-borne bacteria in canines from Bangkok, Thailand.

Lucas G Huggins, Anson V Koehler, Dinh Ng-Nguyen, Stephen Wilcox, Bettina Schunack, Tawin Inpankaew, Rebecca J Traub

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-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

20 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  14. First Molecular Detection ofPathogens (Basel, Switzerland) · 2021
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  18. Detection ofFrontiers in veterinary science · 2021
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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

7 authors at 5 institutions in 4 countries.

Lucas G HugginsFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3052, Australia. lghuggins@student.unimelb.edu.au.
Anson V KoehlerFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3052, Australia.
Dinh Ng-NguyenFaculty of Animal Sciences and Veterinary Medicine, Tay Nguyen University, Buon Ma Thuot, Dak Lak, 630000, Vietnam.
Stephen WilcoxWalter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
Bettina SchunackBayer Animal Health GmbH, Leverkusen, Germany.
Tawin InpankaewFaculty of Veterinary Medicine, Kasetsart University, Bangkok, 10900, Thailand.
Rebecca J TraubFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3052, Australia.
University of Melbourne · AUBayer (Germany) · DEKasetsart University · THThai Nguyen University · VNWalter and Eliza Hall Institute of Medical Research · AU

Funding

Australian Research Council Linkage Grant LP170100187Bayer Animal Health GmbH LP170100187
6 · The paper itself

Abstract

backgroundGlobally, bacterial vector-borne disease (VBD) exerts a large toll on dogs in terms of morbidity and mortality but nowhere is this more pronounced than in the tropics. Tropical environments permit a burgeoning diversity and abundance of ectoparasites some of which can transmit an extensive range of infectious agents, including bacteria, amongst others. Although some of these vector-borne bacteria are responsible for both animal and human diseases in the tropics, there is a scarcity of epidemiological investigation into these pathogens' prevalence. The situation is further exacerbated by frequent canine co-infection, complicating symptomatology that regular diagnostic techniques may miss or be unable to fully characterise. Such limitations draw attention to the need to develop screening tools capable of detecting a wide range of pathogens from a host simultaneously.

resultsHere, we detail the employment of a next-generation sequencing (NGS) metabarcoding methodology to screen for the spectrum of bacterial VBD that are infecting semi-domesticated dogs across temple communities in Bangkok, Thailand. Our NGS detection protocol was able to find high levels of Ehrlichia canis, Mycoplasma haemocanis and Anaplasma platys infection rates as well as less common pathogens, such as "Candidatus Mycoplasma haematoparvum", Mycoplasma turicensis and Bartonella spp. We also compared our high-throughput approach to conventional endpoint PCR methods, demonstrating an improved detection ability for some bacterial infections, such as A. platys but a reduced ability to detect Rickettsia.

conclusionsOur methodology demonstrated great strength at detecting coinfections of vector-borne bacteria and rare pathogens that are seldom screened for in canines in the tropics, highlighting its advantages over traditional diagnostics to better characterise bacterial pathogens in environments where there is a dearth of research.

Indexed as

DNA Barcoding, TaxonomicAnaplasmaAnimalsBacteriaBacterial InfectionsCoinfectionDisease VectorsDog DiseasesDogsEhrlichia canisHigh-Throughput Nucleotide SequencingThailandTick-Borne Diseases16S community profilingAnaplasmaCaninesEhrlichiaMetabarcodingMycoplasmaNext-generation sequencingProkaryotic pathogensTropicsVector-borne disease

Identifiers

PMID31395073
PMCPMC6686542
OpenAlexW2965228978

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.