Evidence map›Paper›PMID 34831303›Full record

ReviewCells2021

Deciphering the Genetic Architecture of Plant Virus Resistance by GWAS, State of the Art and Potential Advances.

Severine Monnot, Henri Desaint, Tristan Mary-Huard, Laurence Moreau, Valerie Schurdi-Levraud, Nathalie Boissot

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genetic basis ofeLife · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors at 3 institutions in 1 country.

Severine MonnotINRAE, Génétique et Amélioration des Fruits et Légumes (GAFL), 84143 Montfavet, France.ORCID 0000-0002-4819-3046
Henri DesaintINRAE, Génétique et Amélioration des Fruits et Légumes (GAFL), 84143 Montfavet, France.
Tristan Mary-HuardINRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, Université Paris-Saclay, Ferme du Moulon, 91190 Gif-sur-Yvette, France.
Laurence MoreauINRAE, CNRS, AgroParisTech, Génétique Quantitative et Evolution-Le Moulon, Université Paris-Saclay, Ferme du Moulon, 91190 Gif-sur-Yvette, France.ORCID 0000-0002-7195-1327
Valerie Schurdi-LevraudUniversité de Bordeaux, INRAE, BFP, UMR 1332, 33140 Villenave d'Ornon, France.ORCID 0000-0001-5519-5800
Nathalie BoissotINRAE, Génétique et Amélioration des Fruits et Légumes (GAFL), 84143 Montfavet, France.ORCID 0000-0002-8266-9386
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRCentre National de la Recherche Scientifique · FRUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing virus resistant varieties is a highly effective means to avoid yield loss due to infection by many types of virus. The challenge is to be able to detect resistance donors within plant species diversity and then quickly introduce alleles conferring resistance into elite genetic backgrounds. Until now, mainly monogenic forms of resistance with major effects have been introduced in crops. Polygenic resistance is harder to map and introduce in susceptible genetic backgrounds, but it is likely more durable. Genome wide association studies (GWAS) offer an opportunity to accelerate mapping of both monogenic and polygenic resistance, but have seldom been implemented and described in the plant-virus interaction context. Yet, all of the 48 plant-virus GWAS published so far have successfully mapped QTLs involved in plant virus resistance. In this review, we analyzed general and specific GWAS issues regarding plant virus resistance. We have identified and described several key steps throughout the GWAS pipeline, from diversity panel assembly to GWAS result analyses. Based on the 48 published articles, we analyzed the impact of each key step on the GWAS power and showcase several GWAS methods tailored to all types of viruses.

Indexed as

Genome-Wide Association StudyDisease ResistanceLinkage DisequilibriumPlant BreedingPlant VirusesQuantitative Trait LociGWASplantvirus

Identifiers

PMID34831303
PMCPMC8625838
OpenAlexW3214643958

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.