Evidence map›Paper›PMID 39193213›Full record

ReviewFrontiers in plant science2024

Recent advances and challenges in plant viral diagnostics.

Aizada Kanapiya, Ulbike Amanbayeva, Zhanar Tulegenova, Altyngul Abash, Sayan Zhangazin, Kazbek Dyussembayev, Gulzhamal Mukiyanova

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Strategies for plant-virus disease management from gene editing to nanotechnology.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
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

7 authors.

Aizada KanapiyaDepartment of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
Ulbike AmanbayevaLaboratory of Biodiversity and Genetic Resources, National Center for Biotechnology, Astana, Kazakhstan.
Zhanar TulegenovaDepartment of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
Altyngul AbashDepartment of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
Sayan ZhangazinDepartment of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
Kazbek DyussembayevDepartment of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
Gulzhamal MukiyanovaLaboratory of Biodiversity and Genetic Resources, National Center for Biotechnology, Astana, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and timely diagnosis of plant viral infections plays a key role in effective disease control and maintaining agricultural productivity. Recent advances in the diagnosis of plant viruses have significantly expanded our ability to detect and monitor viral pathogens in agricultural crops. This review discusses the latest advances in diagnostic technologies, including both traditional methods and the latest innovations. Conventional methods such as enzyme-linked immunosorbent assay and DNA amplification-based assays remain widely used due to their reliability and accuracy. However, diagnostics such as next-generation sequencing and CRISPR-based detection offer faster, more sensitive and specific virus detection. The review highlights the main advantages and limitations of detection systems used in plant viral diagnostics including conventional methods, biosensor technologies and advanced sequence-based techniques. In addition, it also discusses the effectiveness of commercially available diagnostic tools and challenges facing modern diagnostic techniques as well as future directions for improving informed disease management strategies. Understanding the main features of available diagnostic methodologies would enable stakeholders to choose optimal management strategies against viral threats and ensure global food security.

Indexed as

biosensorCRISPR-Casdisease diagnosticsplant virussequencing technologies

Identifiers

PMID39193213
PMCPMC11347306

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.