Evidence map›Paper›PMID 28796912›Full record

ArticlePlant biotechnology journal2018

Nanobody-mediated resistance to Grapevine fanleaf virus in plants.

Caroline Hemmer, Samia Djennane, Léa Ackerer, Kamal Hleibieh, Aurélie Marmonier, Sophie Gersch, Shahinez Garcia, Emmanuelle Vigne, Véronique Komar, Mireille Perrin and 11 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. NANOBODYInternational journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Exploring cellular biochemistry with nanobodies.The Journal of biological chemistry · 2020
    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

21 authors.

Caroline HemmerInstitut de biologie moléculaire des plantes du CNRS, Université de Strasbourg, Strasbourg, France.
Samia DjennaneSVQV, INRA, Université de Strasbourg, Colmar, France.
Léa AckererInstitut de biologie moléculaire des plantes du CNRS, Université de Strasbourg, Strasbourg, France.
Kamal HleibiehInstitut de biologie moléculaire des plantes du CNRS, Université de Strasbourg, Strasbourg, France.
Aurélie MarmonierSVQV, INRA, Université de Strasbourg, Colmar, France.
Sophie GerschSVQV, INRA, Université de Strasbourg, Colmar, France.
Shahinez GarciaSVQV, INRA, Université de Strasbourg, Colmar, France.
Emmanuelle VigneSVQV, INRA, Université de Strasbourg, Colmar, France.
Véronique KomarSVQV, INRA, Université de Strasbourg, Colmar, France.
Mireille PerrinSVQV, INRA, Université de Strasbourg, Colmar, France.
Claude GertzSVQV, INRA, Université de Strasbourg, Colmar, France.
Lorène BelvalSVQV, INRA, Université de Strasbourg, Colmar, France.
François BertholdInstitut de biologie moléculaire des plantes du CNRS, Université de Strasbourg, Strasbourg, France.
Baptiste MonsionInstitut de biologie moléculaire des plantes du CNRS, Université de Strasbourg, Strasbourg, France.
Corinne Schmitt-KeichingerInstitut de biologie moléculaire des plantes du CNRS, Université de Strasbourg, Strasbourg, France.
Olivier LemaireSVQV, INRA, Université de Strasbourg, Colmar, France.
Bernard LorberInstitut de biologie moléculaire et cellulaire du CNRS, Strasbourg Cedex, France.
Carlos GutiérrezResearch Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Arucas, Las Palmas, Spain.
Serge MuyldermansCellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium.
Gérard DemangeatSVQV, INRA, Université de Strasbourg, Colmar, France.
Christophe RitzenthalerInstitut de biologie moléculaire des plantes du CNRS, Université de Strasbourg, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since their discovery, single-domain antigen-binding fragments of camelid-derived heavy-chain-only antibodies, also known as nanobodies (Nbs), have proven to be of outstanding interest as therapeutics against human diseases and pathogens including viruses, but their use against phytopathogens remains limited. Many plant viruses including Grapevine fanleaf virus (GFLV), a nematode-transmitted icosahedral virus and causal agent of fanleaf degenerative disease, have worldwide distribution and huge burden on crop yields representing billions of US dollars of losses annually, yet solutions to combat these viruses are often limited or inefficient. Here, we identified a Nb specific to GFLV that confers strong resistance to GFLV upon stable expression in the model plant Nicotiana benthamiana and also in grapevine rootstock, the natural host of the virus. We showed that resistance was effective against a broad range of GFLV isolates independently of the inoculation method including upon nematode transmission but not against its close relative, Arabis mosaic virus. We also demonstrated that virus neutralization occurs at an early step of the virus life cycle, prior to cell-to-cell movement. Our findings will not only be instrumental to confer resistance to GFLV in grapevine, but more generally they pave the way for the generation of novel antiviral strategies in plants based on Nbs.

Indexed as

NepovirusPlant DiseasesPlant VirusesSingle-Domain AntibodiesSingle-Domain AntibodiesGMOgrapevinenanobodiesnepovirusplant virussingle-chain antibodiestransgenic plant

Identifiers

PMID28796912
PMCPMC5787842

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.