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Record W2582024033 · doi:10.1094/pdis-09-16-1220-re

Biological and Molecular Diversity of<i>Cucumber green mottle mosaic virus</i>in Spain

2017· article· en· W2582024033 on OpenAlexaboutno aff
O. Crespo, Dirk Janssen, Carmen García, Leticia Ruiz

Bibliographic record

VenuePlant Disease · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
FundersEuropean Social FundInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria
KeywordsBiologyChenopodiumCucumber mosaic virusCluster (spacecraft)GenomePlant virusSequence analysisVirologyVirusBotanyGeneGenetics

Abstract

fetched live from OpenAlex

The complete RNA genome from Cucumber green mottle mosaic virus (CGMMV) (Alm08), collected during 2009 in cucumber crops located in Spain, was found to be 6,422 nucleotides long. The nucleotide sequence shared the highest identity with isolates from Russia (GQ495274, GQ495275, FJ848666) as do nucleotide sequences of partial CP and MP genes described in Spain since 2005. All the partial genome sequences including RdRp, CP, and MP from 26 isolates collected from 2013 to 2015 in the southeast of Spain, and from seven isolates of other parts of the world, suggest that they grouped in two major clusters: one cluster (I) included 14 isolates collected between 2013 and 2014, and also reference isolates from France, the Netherlands, and Uzbekistan. A second cluster (II) grouped 12 isolates, which were mostly collected in 2015 together with those from Japan, South Korea, and Canada. For the first time, CGMMV isolates of different geographical origin were found coinfecting the same crop and territory. A host range study revealed that representative isolates of cluster II, but not from cluster I, produced local lesions in Chenopodium amaranticolor. RT-PCR using a common primer pair for CGMMV followed by restriction enzyme analysis with KpnI allowed distinguishing cluster I from II CGMMV isolates.

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 score0.024
Threshold uncertainty score0.047

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 studies0.0000.000
Scholarly communication0.0010.000
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 head0.047
GPT teacher head0.253
Teacher spread0.206 · 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

Citations22
Published2017
Admission routes1
Has abstractyes

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