Evidence map›Paper›PMID 33184393›Full record

ArticleScientific reports2020

Rotating and stacking genes can improve crop resistance durability while potentially selecting highly virulent pathogen strains.

Rémi Crété, Rodrigo Neto Pires, Martin J Barbetti, Michael Renton

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Recombination triggers fungal crop disease.Nature ecology & evolution · 2023
    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

4 authors at 1 institution in 1 country.

Rémi CrétéSchool of Agriculture and Environment, Faculty of Science, The University of Western Australia, Crawley, WA, 6009, Australia.
Rodrigo Neto PiresSchool of Agriculture and Environment, Faculty of Science, The University of Western Australia, Crawley, WA, 6009, Australia.
Martin J BarbettiSchool of Agriculture and Environment, Faculty of Science, The University of Western Australia, Crawley, WA, 6009, Australia.
Michael RentonSchool of Agriculture and Environment, Faculty of Science, The University of Western Australia, Crawley, WA, 6009, Australia. michael.renton@uwa.edu.au.
University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotating crop cultivars with different resistance genes could slow the evolution of virulent strains of fungal pathogens, but could also produce highly virulent pathogen strains. We present a new model that links polycyclic pathogen epidemiology and population genetics in order to predict how different strategies of rotating cultivars with different resistances will affect the evolution of pathogen virulence and the breakdown of crop resistance. We modelled a situation where there were four different resistance genes that can be deployed within each crop cultivar, and four virulence genes that may be present within the pathogen. We simulated four different rotational management strategies: (i) no rotation; (ii) a different gene every year; (iii) a different gene every 5 years; and (iv) a different combination of two stacked genes each year. Results indicate that rotating cultivars can lead to longer periods of disease suppression but also to the selection of highly virulent strains. The efficacy and relative advantage of different resistant cultivar rotation strategies depended on the fitness penalties, initial virulence allele frequencies, and ability of non-virulent pathogen genotypes to grow and reproduce on resistant cultivars. By capturing the essential processes involved, our model provides a useful new tool for investigating the evolutionary dynamics of pathogen virulence and crop resistance breakdown.

Indexed as

Genetics, PopulationCrops, AgriculturalDisease ResistanceFungiGene FrequencyGenotypePlant DiseasesPlant ProteinsVirulencePlant Proteins

Identifiers

PMID33184393
PMCPMC7665077
OpenAlexW3106466947

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.