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Record W4381663308 · doi:10.1002/ndr2.12188

First report of High Plains wheat mosaic virus in Iran

2023· article· en· W4381663308 on OpenAlexaboutno aff
Farshid Nourbakhsh, Amir Massah, Aboozar Soorni, Ladan Talaee

Bibliographic record

VenueNew Disease Reports · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
FundersIsfahan University of Technology
KeywordsPanicum miliaceumBiologyPlant virusHordeum vulgareAvenaVirusSanger sequencingPotyviridaeTriticaleVirologyBotanyGenePoaceaeGeneticsPotyvirusDNA sequencing

Abstract

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High Plains wheat mosaic virus (HPWMoV, genus Emaravirus) has an octopartite, negative-sense RNA genome, each segment encoding a single open reading frame. The virus is transmitted by the wheat curl mite (Aceria tosichella) (Tatineni et al., 2014). HPWMoV has been reported from Argentina, Australia, Canada, New Zealand, Ukraine and the USA (Abdullahi et al., 2020; Snihur et al., 2020). Mixed infections of HPWMoV and Wheat streak mosaic virus (WSMV, genus Tritimovirus) often occur in the field and lead to severe symptoms (Byamukama et al., 2016). In 2021 and 2022, 85 leaf samples were collected from different gramineous plants with chlorotic leaf streak symptoms (Figure 1) in the Isfahan and Chaharmahal-o-Bakhtiari provinces, central Iran. Total RNA was extracted using the CTAB method and RT-PCR was performed using the specific HPWMoV primers HPV-F1 and HPV-R1 targeting part of the nucleocapsid protein gene (Lebas et al., 2005), and WSMV-specific primers WSMVF and WSMVR amplifying the coat protein gene (Mar et al., 2013). The expected fragments (339 and 948 bp, respectively) were amplified, Sanger-sequenced directly and confirmed as HPWMoV and WSMV, respectively, by nucleotide sequence comparisons. The results revealed HPWMoV in single or mixed infection with WSMV in wheat (Triticum aestivum), barley (Hordeum vulgare), corn (Zea mays), oat (Avena sativa), millet (Panicum miliaceum) and Johnsongrass (Sorghum halepense). Eighty percent of the collected samples were infected with at least one virus. Mixed and single infections of HPWMoV and WSMV were determined in 41, 37 and 22% of samples, respectively. Sequence analysis of an Iranian HPWMoV isolate from wheat (GenBank Accession No. OQ214884) showed the highest identity (97%) to a corn isolate from Ohio (KT988872.1) and a barley isolate from Kansas (KT988863.1), and the lowest identity (87%) to a wheat isolate from Ohio (KT970501.1). However, an Iranian HPWMoV isolate from barley (OQ214885) had 92% identity to a wheat isolate from Ohio (KT988882.1). In a transmission test, wheat curl mite nymphs reared on wheat were allowed to feed on HPWMoV-infected wheat for 24 hours of acquisition access feeding. The nymphs were then transferred to thirty seedlings at the two-leaf stage, twenty nymphs per plant, for 24 hours of transmission feeding. All test plants showed mosaic symptoms four to six days post inoculation. Infection of the test plants was confirmed by RT-PCR as described above. To the best of our knowledge this is the first report of HPWMoV in Iran. WSMV is widely distributed in most wheat-producing regions in Iran (Masumi et al., 2006). However, our results suggest that HPWMoV is more common than WSMV in the central parts of Iran and probably in other regions too and should be considered as a new agent in the epidemiology of mite-borne viruses infecting cereals in Iran. The authors acknowledge the financial support by the Isfahan University of Technology.

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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)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.044
GPT teacher head0.274
Teacher spread0.230 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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