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Record W2076494755 · doi:10.1094/pdis-09-13-0996-pdn

First Report of <i>Cucumber green mottle mosaic virus</i> Infecting Greenhouse Cucumber in Canada

2013· article· en· W2076494755 on OpenAlexaffabout
Kai‐Shu Ling, R. Li, W. Zhang

Bibliographic record

VenuePlant Disease · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsAgriculture Food and Rural Development
Fundersnot available
KeywordsBiologyCucumber mosaic virusCucumisMottleCucumovirusSpotsHorticultureMelonPlant virusGreenhouseZucchini yellow mosaic virusVirologyVirusVeterinary medicineBotany

Abstract

fetched live from OpenAlex

In early 2013, greenhouse cucumber growers in Alberta, Canada, observed virus-like disease symptoms on mini-cucumber (Cucumis sativus) crops (e.g., 'Picowell'). Two types of symptoms were commonly observed, green mottle mosaic and necrotic spots. In the early infection, young leaves of infected cucumber plants displayed light green mottle and blisters. The infected plants were stunted in growth, with darker green blisters and green mottle mosaic symptoms on mature leaves. Disease incidence varied from one greenhouse to another. In some severe cases, diseased plants were widely distributed inside the greenhouse, resulting in 10 to 15% yield losses based on grower's estimation. Nine symptomatic samples were collected and subjected to total RNA isolation using the TRIzol reagent (Invitrogen, Carlsbad, CA). Laboratory analyses were conducted using real-time RT-PCR systems for Cucumber green mottle mosaic virus (CGMMV) (1), Melon necrotic spot virus (MNSV, Ling, unpublished), and Squash mosaic virus (SqMV) (3). All nine samples were positive for CGMMV and seven of them were in mixed infections with MNSV. Two samples were selected for validation for the presence of CGMMV using conventional RT-PCR (2) with a new primer set (CGMMVMP F1: 5'-ATGTCTCTAAGTAAGGTGTC-3' and CGMMV3'UTR R1: 5'-TGGGCCCCTACCCGGGG-3') and two previous online published primer sets, one for CGMMV MP (5' TAAGTTTGCTAGGTGTGATC-3', GenBank Accession No. AJ250104 and 5' ACATAGATGTCTCTAAGTAAG-3', AJ250105), and another for CGMMV CP (5' ACCCTCGAAACTAAGCTTTC-3', AJ243351 and 5' GAAGAGTCCAGTTCTGTTTC-3', AJ243352). The expected sizes of RT-PCR products were obtained and sequenced directly. Sequences from these three products overlapped and generated a 1,282-bp contig (KF683202). BLASTn analysis to the NCBI database showed 99% sequence identity to CGMMV isolates identified in Asia, including China (GQ277655, KC852074), India (DQ767631), Korea (AF417243), Myanmar (AB510355), and Taiwan (HQ692886), but only 92% sequence identity to other CGMMV isolates identified in Europe, including Spain (GQ411361) and Russia (GQ495274), and 95% to CGMMV isolate from Israel (KF155231). The strong sequence identity to the CGMMV Asian isolates suggests that the Canadian CGMMV isolate identified in Alberta was likely of Asian origin. In two bioassay experiments using one sample prepared in 0.01 M phosphate buffer, the similar green mottle mosaic symptoms were observed on systemic leaves in the mechanically inoculated plants and the presence of CGMMV, but not MNSV, was confirmed through real-time RT-PCR on four different cucurbits, including three Cucumis sativus cultivars (six plants in 'Marketer,' five plants in 'Poinsett 76,' six plants in 'Straight 8'), seven plants of C. melo 'Athena,' six plants of C. metulifer (PI201681), and two plants of Citrullus lanatus 'Charleston Gray.' To our knowledge, CGMMV has only been reported in Asia, Europe, and the Middle East, and this is the first report of CGMMV in the American continents. CGMMV is highly contagious and is seed borne on cucurbits. With the increasing trend in growing grafted watermelon and other cucurbits in the United States and elsewhere, it is even more important now that a vigilant seed health test program for CGMMV should be implemented. References: (1) H. Chen et al. J. Virol. Methods 149:326, 2008. (2) K.-S. Ling et al. Plant Dis. 92:1683, 2008. (3) K.-S. Ling et al. J. Phytopathol. 159:649, 2011.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.602

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)0.0010.000

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 head0.019
GPT teacher head0.212
Teacher spread0.194 · 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 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".

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Citations35
Published2013
Admission routes2
Has abstractyes

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