Evidence map›Paper›PMID 35891960›Full record

ArticleIranian journal of biotechnology2022

Cymbidium Mosaic Virus Infecting Orchids: What, How, and What Next?

Mohd Shakir Mohamad Yusop, Zeti-Azura Mohamed-Hussein, Ahmad Bazli Ramzi, Hamidun Bunawan

Abstract read
In one paragraph

Article in Iranian journal of biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohd Shakir Mohamad YusopInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
Zeti-Azura Mohamed-HusseinInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
Ahmad Bazli RamziInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
Hamidun BunawanInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Cymbidium mosaic virus (CymMV) is one of the most devastating viruses causing losses in the orchid industry, affecting economies worth millions of US dollars. CymMV significantly affects the orchid population and could be controlled through an integrated management strategy consisting of virus detection, good sanitation care of gardeners and their tools, and maintaining virus-free explants. Evidence acquisition: This review was written based on research publications relevant to the CymMV infection in orchids. The literature cited were obtained from online literature databases such as web of Science, Scopus, and Google Scholar. The searched term used was "Cymbidium mosaic virus". Related publications to the initial search were also examined. Results & Conclusions: This review describes the threat of CymMV to the orchid population by examining its history, genome organization, symptoms on individual orchids, detection, and management. Current research has been focusing on the prospect of transgenic orchids with viral resistance. This review also highlights the potential role of the symbiotic relationship between orchids and arbuscular mycorrhiza fungi that could be useful to improve the protection of orchids against virus infection. Overall, this review provides information on how CymMV infection impacts the orchid population.

Indexed as

Orchid familyOrchid virusPlant viruses

Identifiers

PMID35891960
PMCPMC9284244

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.