Evidence map›Paper›PMID 32244645›Full record

ArticlePathogens (Basel, Switzerland)2020

A Host-Specific Blocking Primer Combined with Optimal DNA Extraction Improves the Detection Capability of a Metabarcoding Protocol for Canine Vector-Borne Bacteria.

Lucas G Huggins, Anson V Koehler, Bettina Schunack, Tawin Inpankaew, Rebecca J Traub

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Water Chemistry and Habitat Size Predict Spawning Success in EndangeredAnimals : an open access journal from MDPI · 2026
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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

5 authors at 3 institutions in 3 countries.

Lucas G HugginsFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria 3050, Australia.ORCID 0000-0002-1384-2886
Anson V KoehlerFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria 3050, Australia.ORCID 0000-0001-8330-6416
Bettina SchunackBayer Animal Health GmbH, 51373 Leverkusen, Germany.
Tawin InpankaewFaculty of Veterinary Medicine, Kasetsart University, Bangkok 10900, Thailand.
Rebecca J TraubFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria 3050, Australia.
The University of Melbourne · AUBayer (Germany) · DEKasetsart University · TH

Funding

Australian Research Council LP170100187
6 · The paper itself

Abstract

Bacterial canine vector-borne diseases are responsible for some of the most life-threatening conditions of dogs in the tropics and are typically poorly researched with some presenting a zoonotic risk to cohabiting people. Next-generation sequencing based methodologies have been demonstrated to accurately characterise a diverse range of vector-borne bacteria in dogs, whilst also proving to be more sensitive than conventional PCR techniques. We report two improvements to a previously developed metabarcoding tool that increased the sensitivity and diversity of vector-borne bacteria detected from canine blood. Firstly, we developed and tested a canine-specific blocking primer that prevents cross-reactivity of bacterial primer amplification on abundant canine mitochondrial sequences. Use of our blocking primer increased the number of canine vector-borne infections detected (five more

Indexed as

blocking primersblood DNA extractioncanine vector-borne diseasekit contaminant bacterianext-generation sequencing

Identifiers

PMID32244645
PMCPMC7238069
OpenAlexW3014244252

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.