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First report of <i>Hibiscus chlorotic ringspot virus</i> in Turkey

2017· article· en· W2610729368 on OpenAlexaboutno aff
Ali Karanfil, Savaş Korkmaz

Bibliographic record

VenueNew Disease Reports · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHibiscusBiologyGenBankOrnamental plantPlant virusVirusBotanyAccession number (library science)GeneHorticultureVirologyGenetics

Abstract

fetched live from OpenAlex

Hibiscus rosa-sinensis (rose of China) is an ornamental plant grown throughout the tropics and subtropics, and under glass in more temperate areas. It is commonly used in landscape design; however, pathogens causing diseases on H. rosa-sinensis are not well described, especially in Turkey. Hibiscus chlorotic ringspot virus (HCRSV) is one of the pathogens causing diseases on H. rosa-sinensis. The virus belongs to the genus Betacarmovirus in the family Tombusviridae. Symptoms of HCRSV vary from vein banding to chlorotic ringspots on leaves of H. rosa-sinensis (Waterworth et al., 3; Luria et al., 2). In September 2016, similar symptoms were observed on leaves of H. rosa-sinensis in the Mugla province of Turkey (Figs. 1-2). Infected leaves were collected from eight different plants and stored at -80°C until further analyses. For RT-PCR, a pair of primers specific to parts of the coat protein (CP) gene of HCRSV were designed (AK-1 HCRSV-F 5'-AAGAGAGCAGCCAATAGA-3' and AK-2 HCRSV-R 5'-GAAGAAGAACAAGAAGCGA-3'), based on the complete genome sequence of HCRSV (GenBank Accession No. NC_003608; Huang et al., 1). Total RNA was isolated using the RNeasy Plant Mini Kit (Qiagen, Canada) and RT-PCR was done using the PrimeScript RT-PCR kit (Takara, Japan) according to the manufacturer's instructions. As expected, a 759 bp DNA fragment corresponding to the partial CP gene was amplified from all samples. Two PCR products, designated MGL1 and MGL2, were selected randomly, purified and sequenced bi-directionally using primers AK-1 HCRSV-F and AK-2 HCRSV-R. The sequences of isolates MGL1 and MGL2 were deposited in GenBank with the accession numbers KY420907 and KY420908, respectively BLAST analysis of these sequences confirmed similarity to HCRSV sequences. Different HCRSV sequences from various regions of the world were used for sequence analysis. The identities at nucleotide and amino acid level between Turkish and other HCRSV isolates were determined using a partial 517 bp sequence of the CP gene after alignment with ClustalW, and ranged from 94-98% and 86-97% identity, respectively. The phylogenetic relationship of different HCRSV isolates was determined by using the neighbor-joining-method and the Turkish isolates clustered closely with isolates from Iran and Israel (Fig. 3). To our knowledge, this is the first report of HCRSV in Turkey.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.033
GPT teacher head0.272
Teacher spread0.239 · 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 designCase report
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

Citations7
Published2017
Admission routes1
Has abstractyes

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