Evidence map›Paper›PMID 34153774›Full record

ReviewCurrent opinion in biotechnology2021

Stop helping pathogens: engineering plant susceptibility genes for durable resistance.

Hernan Garcia-Ruiz, Boris Szurek, Guido Van den Ackerveken

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Beyond Resistance Genes: Silencing Susceptibility.International journal of molecular sciences · 2026
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Frontiers in microbiology · 2026
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  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

3 authors.

Hernan Garcia-RuizDepartment of Plant Pathology, Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68503, USA.
Boris SzurekPHIM Plant Health Institute, Univ Montpellier, IRD, CIRAD, INRAE, Institut Agro, Montpellier, France.
Guido Van den AckervekenPlant-Microbe Interactions, Department of Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, Netherlands. Electronic address: g.vandenackerveken@uu.nl.

Funding

Recognition and recruitment of RNA viruses into RNA silencing pathwaysR01GM120108 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI GARCIA-RUIZ, HERNAN · 2016 to 2020
$1.3M
NIGMS NIH HHS R01 GM120108
6 · The paper itself

Abstract

Alternatives to protect crops against diseases are desperately needed to secure world food production and make agriculture more sustainable. Genetic resistance to pathogens utilized so far is mostly based on single dominant resistance genes that mediate specific recognition of invaders and that is often rapidly broken by pathogen variants. Perturbation of plant susceptibility (S) genes offers an alternative providing plants with recessive resistance that is proposed to be more durable. S genes enable the establishment of plant disease, and their inactivation provides opportunities for resistance breeding of crops. However, loss of S gene function can have pleiotropic effects. Developments in genome editing technology promise to provide powerful methods to precisely interfere with crop S gene functions and reduce tradeoffs.

Indexed as

Disease ResistancePlant BreedingCrops, AgriculturalGene EditingGenetic EngineeringPlant DiseasesPlants, Genetically Modified

Identifiers

PMID34153774
PMCPMC8878094

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.