Evidence map›Paper›PMID 33194382›Full record

ArticlePeerJ2020

Novel targets for engineering Physostegia chlorotic mottle and tomato brown rugose fruit virus-resistant tomatoes: in silico prediction of tomato microRNA targets.

Yahya Zakaria Abdou Gaafar, Heiko Ziebell

Abstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. RNA silencing: the future potential strategy for engineering virus resistance in plants.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Advances and Prospects of Virus-Resistant Breeding in Tomatoes.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Understanding tobamovirus-plant interactions: implications for breeding resistance to tomato brown rugose fruit virus.Journal of plant pathology : an international journal of the Italian Phytopathological Society · 2023
    Review
  11. Review
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

2 authors.

Yahya Zakaria Abdou GaafarInstitute for Epidemiology and Pathogen Diagnostics, Julius Kühn Institute (JKI) -Federal Research Centre for Cultivated Plants, Braunschweig, Lower Saxony, Germany.
Heiko ZiebellInstitute for Epidemiology and Pathogen Diagnostics, Julius Kühn Institute (JKI) -Federal Research Centre for Cultivated Plants, Braunschweig, Lower Saxony, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysostegia chlorotic mottle virus (PhCMoV; genus:

methodsUsing in silico analyses, we investigated the possibility of tomato-encoded miRNAs (TomiRNA) to target PhCMoV and ToBRFV genomes using five different algorithms, i.e., miRanda, RNAhybrid, RNA22, Tapirhybrid and psRNATarget.

resultsThe results revealed that 14 loci on PhCMoV and 10 loci on ToBRFV can be targeted by the TomiRNAs based on the prediction of at least three algorithms. Interestingly, one TomiRNA, miR6026, can target open reading frames from both viruses, i.e., the phosphoprotein encoding gene of PhCMoV, and the two replicase components of ToBRFV. There are currently no commercially available PhCMoV- or ToBRFV-resistant tomato varieties, therefore the predicted data provide useful information for the development of PhCMoV- and ToBFRV-resistant tomato plants.

Indexed as

AlphanucleorhabdovirusmiRNAPhCMoVResistanceRNA interferenceSolanum lycopersicumTobamovirusToBRFVTransgenes

Identifiers

PMID33194382
PMCPMC7597636

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.