Evidence map›Paper›PMID 26136043›Full record

ArticleMolecular plant pathology2016

Polycistronic artificial miRNA-mediated resistance to Wheat dwarf virus in barley is highly efficient at low temperature.

András Kis, Gergely Tholt, Milán Ivanics, Éva Várallyay, Barnabás Jenes, Zoltán Havelda

Open access · bronzeAbstract read
In one paragraph

Article in Molecular plant pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
11.9field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

  1. What Do We Know about Barley miRNAs?International journal of molecular sciences · 2022
    Pooled it
  2. Article
  3. Review
  4. 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
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. SilencingPotato research · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. RNA interference and crop protection against biotic stresses.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Review
  16. Optimized RNA-Silencing Strategies forPlants (Basel, Switzerland) · 2021
    Article
  17. Review
  18. Article
  19. Review
  20. 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

6 authors at 3 institutions in 1 country.

András KisNational Agricultural Research and Innovation Centre, Agricultural Biotechnology Institute, Szent-Györgyi A. út 4, Gödöllő, H-2100, Hungary.
Gergely TholtPlant Protection Institute, Centre for Agricultural Research, , Hungarian Academy of Sciences, Herman Ottó út 15, Budapest, H-1022, Hungary.
Milán IvanicsNational Agricultural Research and Innovation Centre, Agricultural Biotechnology Institute, Szent-Györgyi A. út 4, Gödöllő, H-2100, Hungary.
Éva VárallyayNational Agricultural Research and Innovation Centre, Agricultural Biotechnology Institute, Szent-Györgyi A. út 4, Gödöllő, H-2100, Hungary.
Barnabás JenesNational Agricultural Research and Innovation Centre, Agricultural Biotechnology Institute, Szent-Györgyi A. út 4, Gödöllő, H-2100, Hungary.
Zoltán HaveldaNational Agricultural Research and Innovation Centre, Agricultural Biotechnology Institute, Szent-Györgyi A. út 4, Gödöllő, H-2100, Hungary.
Agricultural Biotechnology Institute · HUEötvös Loránd University · HUMagyar Agrár- és Élettudományi Egyetem · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection of Wheat dwarf virus (WDV) strains on barley results in dwarf disease, imposing severe economic losses on crop production. As the natural resistance resources against this virus are limited, it is imperative to elaborate a biotechnological approach that will provide effective and safe immunity to a wide range of WDV strains. Because vector insect-mediated WDV infection occurs during cool periods in nature, it is important to identify a technology which is effective at lower temperature. In this study, we designed artificial microRNAs (amiRNAs) using a barley miRNA precursor backbone, which target different conservative sequence elements of the WDV strains. Potential amiRNA sequences were selected to minimize the off-target effects and were tested in a transient sensor system in order to select the most effective constructs at low temperature. On the basis of the data obtained, a polycistronic amiRNA precursor construct (VirusBuster171) was built expressing three amiRNAs simultaneously. The construct was transformed into barley under the control of a constitutive promoter. The transgenic lines were kept at 12-15 °C to mimic autumn and spring conditions in which major WDV infection and accumulation take place. We were able to establish a stable barley transgenic line displaying resistance to insect-mediated WDV infection. Our study demonstrates that amiRNA technology can be an efficient tool for the introduction of highly efficient resistance in barley against a DNA virus belonging to the Geminiviridae family, and this resistance is effective at low temperature where the natural insect vector mediates the infection process.

Indexed as

Cold TemperatureBase SequenceDisease ResistanceHordeumMicroRNAsNicotianaNucleic Acid ConformationPhenotypePlant DiseasesPlants, Genetically ModifiedTriticumMicroRNAsartificial microRNAHordeum vulgareleafhopperlow temperatureresistanceWheat dwarf virus

Identifiers

PMID26136043
PMCPMC6638354
OpenAlexW1543919291

What OpenQuestion holds

Textmetadata
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.