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Record W2088853279 · doi:10.1094/pdis-09-12-0862-pdn

<i>Arabis mosaic virus</i> in Grapevines in New York State

2013· article· en· W2088853279 on OpenAlexaboutno aff
Jeremy R. Thompson, Keith L. Perry, Matthias Fuchs

Bibliographic record

VenuePlant Disease · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyNepovirusGenBankPlant virusVirologyVirusBotanyGeneticsGene

Abstract

fetched live from OpenAlex

In a limited survey of commercial vineyards and a germplasm repository in Ontario County, NY, 20 vines of Vitis sp. were tested in fall and spring 2010 to 2012 for viruses using a double-antibody sandwich (DAS)-ELISA and macroarray with oligonucleotide probes for grapevine viruses ((3) and unpublished). The plants selected for analysis included those showing atypical growth including leaf deformation, yellowing, cupping or spotting, vein clearing, shortening of internodes, and reduced vigor. Arabis mosaic virus (ArMV; genus Nepovirus, family Secoviridae) was detected in leaf tissue and wood scrapings in two vines using the DAS-ELISA with antibodies from Bioreba (Reinach, Switzerland). The ArMV positive vines were from Vitis hybrid cultivars Noah and Geisenheim 26. ArMV was also detected in these two vines using the macroarray, with hybridization observed to 24 of 32 oligonucleotide probes specific to this virus. To confirm the identification of the virus, total RNAs were extracted from leaf tissues, hybridized with random hexamers, and reverse-transcribed using MMLV reverse transcriptase (Life Technologies, Grand Island, NY). Complementary DNAs were amplified by PCR using an IQ supermix (BioRad, Hercules, CA), and two sets of generic primers for nepoviruses (1,4). Thermocycler conditions were 94°C 5 min (1×); 94°C 30 s, 50°C 30 s, and 69°C 2 min (35×), and 72°C for 5 min. The PCR products were sequenced directly. Sequences from the 340-bp products obtained from cultivars Geisenheim 26 (GenBank Accession No. HE984333) and Noah (HE984334) using the Wei et al. primers (4) had 76 to 84% sequence identity to ArMV RNA1 GenBank accessions GQ369528 and AY303786. Sequences from the 301-bp products obtained from cultivars Geisenheim 26 (HE984335) and Noah (HE984336) using the Digiaro et al. primers (1) had 87 to 91% sequence identity to ArMV RNA2 GenBank accessions AY017339 and X81814. ArMV was mechanically transmitted from Geisenheim 26 to Nicotiana tabacum cultivar Xanthi NN. Inoculation gave rise to necrotic local lesions on the inoculated leaves of five plants in each of two experiments (10 of 10 plants total). The presence of ArMV in tobacco was confirmed by DAS-ELISA. Thus, the presence of ArMV in New York grapevines has been confirmed by the detection of the coat protein antigen, virus specific oligonucleotide probes, and the sequencing of portions of both genomic RNAs. There are limited reports of ArMV in North America and in grapevine in particular (2), but with a wide host range and seed and nematode transmissibility, ArMV has the ability to become more widespread among grapevine and other crops. References: (1) M. Digiaro, et al. J. Virol. Methods 141:34, 2007. (2) B. N. Milkus et al. Am. J. Enol. Vitic. 50:56, 1999. (3) J. Thompson et al. J. Virol. Methods 183:161, 2012. (4) T. Wei et al. J. Virol. Methods 153:16, 2008.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.567

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.228
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2013
Admission routes1
Has abstractyes

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