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Record W4394850673 · doi:10.1002/aah.10220

Comparative evaluation of three real-time polymerase chain reaction assays to detect <i>Myxobolus cerebralis</i>

2024· article· en· W4394850673 on OpenAlexfundno aff
Wade Cavender, Christine Swan, Skylar L. Wolf, Danielle Van Vliet, Alison Aceves Johnson, Anna Forest, R Shields, Thomas P. Loch, Christopher Knupp, John D. Drennan, Gavin W. Glenney, Sascha L. Hallett, Joe Marcino, Aimee Reed

Bibliographic record

VenueJournal of Aquatic Animal Health · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyxozoan Parasites in Aquatic Species
Canadian institutionsnot available
FundersFisheries and Oceans CanadaCalifornia Department of Fish and WildlifeU.S. Fish and Wildlife ServiceIdaho Department of Fish and GameAnimal and Plant Health Inspection ServiceTennessee Wildlife Resources AgencyGreat Lakes Fishery CommissionU.S. Geological SurveyMassachusetts Department of Fish and Game
KeywordsBiologyPolymerase chain reactionReal-time polymerase chain reactionComputational biologyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Objective We sought to evaluate accurate and reproducible detection of Myxobolus cerebralis (Mc), the causative agent of whirling disease, by using nested polymerase chain reaction (nPCR) and three previously established real-time quantitative PCR (qPCR) assays: K18S (Kelley 18S), C18S (Cavender 18S), and Hsp70 (heat shock protein 70). We used a “fit for purpose” approach combined with intra- and interlaboratory testing to identify a molecular testing method that would be equivalent to the currently accepted nPCR procedure for Mc. Methods Assay performance was compared using a combination of intra- and interlaboratory testing that used synthetic gBlocks along with naturally and experimentally infected fish tissue. North American isolates representing geographically distinct locations were also tested using all three assays. Result The K18S and C18S assays exhibited high assay sensitivity, intra- and interlaboratory repeatability of sample replicates, and reproducible identification of all test samples across multiple laboratories. In contrast, the Hsp70 assay failed to detect several positive samples at low DNA concentrations during intra- and interlaboratory testing. The K18S assay was the only procedure that demonstrated perfect detection accuracy when testing geographically distinct Mc isolates. Results demonstrated the K18S assay is robust under variable test conditions, is more accurate than the C18S and Hsp70 assays, and provides detection capabilities equivalent to those of the currently accepted nPCR confirmation assay “gold standard” that is described in the American Fisheries Society–Fish Health Section (AFS–FHS) Blue Book. Conclusion The “fit for purpose” approach and preliminary completion of the World Organization for Animal Health validation pathway demonstrate that the K18S assay provides an alternate method for Mc testing. This work provides the foundation for acceptance of the K18S assay into the AFS–FHS Blue Book as a standardized test procedure for Mc. Abstract Impact statement The myxozoan parasite Myxobolus cerebralis (Mc) can cause whirling disease in salmonids, which can negatively impact hatchery and wild populations. Rapid, sensitive detection of developmental stages is important to identify Mc through monitoring and testing of presumptive findings. The current “gold standard” for molecular testing is nested PCR, which requires two consecutive reactions and visualization of amplicons using gel electrophoresis. Alternatively, three previously published real-time quantitative PCR (qPCR) assays offer a faster, more sensitive approach for Mc testing. During intra- and interlaboratory comparisons, we evaluated these qPCR assays using a range of fish tissue and gBlocks. The “fit for purpose” approach and preliminary completion of the World Organization for Animal Health validation pathway demonstrate that the K18S assay provides an alternate molecular testing procedure for Mc.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.367
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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