Evidence map›Paper›PMID 42243874›Full record

ArticleBMC veterinary research2026

Development and partial validation of a TaqMan quantitative PCR assay to detect Cervidpoxvirus.

Lillian G Maxwell, Kuttichantran Subramaniam, Samantha M Wisely, Juan M Campos Krauer

Abstract readValidation Study
In one paragraph

Article in BMC veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lillian G MaxwellDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0009-0007-7876-0797
Kuttichantran SubramaniamDepartment of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-2752-4467
Samantha M WiselyEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0003-1748-4518
Juan M Campos KrauerDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA. jmcampos@ufl.edu.ORCID http://orcid.org/0000-0002-7098-731X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn emerging disease known as mule deerpox virus (Cervidpoxvirus muledeerpox) (DPV) has spread across North America in both wild and captive cervid populations. While little is known about its prevalence in wild cervids, research in domestic populations indicates a high mortality associated with this pathogen, particularly in fawns. Most recently, a new Cervidpoxvirus has been reported in semi-domestic populations of reindeer in Sweden and Norway, expanding its geographical range internationally. Currently, there is no standard protocol to detect this virus, and the increasing range of this pathogen highlights the importance of a standard validated diagnostic test.

resultsIn this study, we developed and partially-validated a TaqMan quantitative PCR assay to detect Cervidpoxvirus based on the major capsid protein using the World Organization for Animal Health's diagnostic assay guidelines. Aligning the three available whole genomes of DPV from GenBank W-848-83 (GenBank: NC_006966.1); W-1170-84 (GenBank: AY689437.1); MDPV-F (GenBank: MF966153), showed that the major capsid protein gene was highly conserved (> 99%) and primers and probe were designed to amplify a 83 bp region of this gene with 100% agreement. Analytical performance estimated that the assay was exclusive for DPV and highly sensitive (limit of detection ≥ 10 DNA copies), while diagnostic performance found that the assay was 100 times more sensitive than a standard conventional PCR assay.

conclusionWith this assay, detection of Cervidpoxvirus will be faster and more efficient than current methods, allowing both researchers and veterinarians to diagnose and prevent the further spread of this disease.

Indexed as

DeerPoxviridaePoxviridae InfectionsReal-Time Polymerase Chain ReactionAnimalsSensitivity and SpecificityCervidpoxvirusDeer farmingMule deerpox virusPoxvirusQuantitative PCRWhite-tailed deer

Identifiers

PMID42243874
PMCPMC13465289

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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.