Evidence map›Paper›PMID 25674769›Full record

ReviewViruses2015

Engineering viroid resistance.

Athanasios Dalakouras, Elena Dadami, Michael Wassenegger

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.7field-weighted citation impact, top 5% of its field
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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Plant Responses to Pathogen Attack: Small RNAs in Focus.International journal of molecular sciences · 2018
    Review
  12. Article
  13. 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

3 authors at 2 institutions in 1 country.

Athanasios DalakourasRLP AgroScience GmbH, AIPlanta-Institute for Plant Research, Neustadt, 67435, Germany. athanasios.dalakouras@agroscience.rlp.de.
Elena DadamiRLP AgroScience GmbH, AIPlanta-Institute for Plant Research, Neustadt, 67435, Germany. elena.dadami@agroscience.rlp.de.
Michael WasseneggerRLP AgroScience GmbH, AIPlanta-Institute for Plant Research, Neustadt, Germany and Centre for Organisational Studies (COS) Heidelberg, University of Heidelberg, Heidelberg, 69120, Germany. michael.wassenegger@agroscience.rlp.de.
RLP AgroScience (Germany) · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viroids are non-encapsidated, non-coding, circular, single-stranded RNAs (ssRNAs). They are classified into the families Pospiviroidae and Avsunviroidae, whose members replicate in the nucleus and chloroplast of plant cells, respectively. Viroids have a wide host range, including crop and ornamental plants, and can cause devastating diseases with significant economic losses. Thus, several viroids are world-wide, classified as quarantine pathogens and, hence, there is an urgent need for the development of robust antiviroid strategies. RNA silencing-based technologies seem to be a promising tool in this direction. Here, we review the recent advances concerning the complex interaction of viroids with the host's RNA silencing machinery, evaluate past and present antiviroid approaches, and finally suggest alternative strategies that could potentially be employed in the future in order to achieve transgenic and non-transgenic viroid-free plants.

Indexed as

Disease ResistanceGenetic EngineeringHost-Pathogen InteractionsGene Expression Regulation, PlantGene SilencingPlant DiseasesPlants, Genetically ModifiedViroidsVirus Replication

Identifiers

PMID25674769
PMCPMC4353907
OpenAlexW2071907483

What OpenQuestion 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 OpenQuestion graph.