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Utilization of the polymerase chain reaction in the diagnosis of nuclear polyhedrosis virus infections of gypsy moth (<i>Lymantria dispar</i>, Lep., Lymantriidae) populations

2003· article· en· W2137230916 on OpenAlexaffabout
G. Charpentier, Daniel Desmarteaux, Jean-Pierre Bourassa, S. Belloncik, M. Arella

Bibliographic record

VenueJournal of Applied Entomology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsBiologyPolymerase chain reactionLymantria disparNuclear Polyhedrosis VirusVirologyGenomeDisparTransovarial transmissionVirusGeneticsPEST analysisGeneBotany

Abstract

fetched live from OpenAlex

Abstract: Three specific DNA probes were used for the detection of the nuclear polyhedrosis (NPV) virus of Lymantria dispar ( Ld NPV) genome. Two of these probes, H2 and H3 were obtained by classical cloning method and one (TR6) by polymerase chain reaction (PCR). These probes, used individually or in a pool in the standard slot–blot hybridizations, were able to detect 10 9 genome copies. By performing 35 cycles of PCR amplification before hybridization with primers specific to Ld NPV genome on DNA extracted from infected larvae, the sensitivity of the hybridization technique was increased, so that as little as 10 copies of the Ld NPV genome could be detected. Using these methods, L. dispar naturally infected by Ld NPV were identified among field populations in Canada and in the United States near the eastern Canadian border. Using a combination of PCR and hybridization, Ld NPV contamination of egg masses were also detected. By disinfecting the eggs with sodium hypochlorite prior to PCR amplification and hybridization, it was also demonstrated that transmission of viral infection in the natural populations is mainly caused by external contamination of the egg and is unlikely to occur through the transovarial route.

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)0.000
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 score0.051
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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

Citations4
Published2003
Admission routes2
Has abstractyes

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