Evidence map›Paper›PMID 31056046›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Virus epidemics, plant-controlled population bottlenecks and the durability of plant resistance.

Elsa Rousseau, Mélanie Bonneault, Frédéric Fabre, Benoît Moury, Ludovic Mailleret, Frédéric Grognard

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Multilocus Genotyping of 'Microorganisms · 2021
    Article
  8. Review
  9. Article
  10. Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    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.

Elsa Rousseau1 Université Côte d'Azur, Inria, INRA, CNRS, Sorbonne Université, Biocore team , Sophia Antipolis , France.
Mélanie Bonneault1 Université Côte d'Azur, Inria, INRA, CNRS, Sorbonne Université, Biocore team , Sophia Antipolis , France.
Frédéric Fabre4 UMR 1065 SAVE, INRA , Bordeaux Sciences Agro, F-33882, Villenave d'Ornon , France.
Benoît Moury3 Pathologie Végétale, INRA , F-84140 Montfavet , France.
Ludovic Mailleret1 Université Côte d'Azur, Inria, INRA, CNRS, Sorbonne Université, Biocore team , Sophia Antipolis , France.
Frédéric Grognard1 Université Côte d'Azur, Inria, INRA, CNRS, Sorbonne Université, Biocore team , Sophia Antipolis , France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant qualitative resistances to viruses are natural exhaustible resources that can be impaired by the emergence of resistance-breaking (RB) virus variants. Mathematical modelling can help determine optimal strategies for resistance durability by a rational deployment of resistance in agroecosystems. Here, we propose an innovative approach, built up from our previous empirical studies, based on plant cultivars combining qualitative resistance with quantitative resistance narrowing population bottlenecks exerted on viruses during host-to-host transmission and/or within-host infection. Narrow bottlenecks are expected to slow down virus adaptation to plant qualitative resistance. To study the effect of bottleneck size on yield, we developed a stochastic epidemic model with mixtures of susceptible and resistant plants, relying on continuous-time Markov chain processes. Overall, narrow bottlenecks are beneficial when the fitness cost of RB virus variants in susceptible plants is intermediate. In such cases, they could provide up to 95 additional percentage points of yield compared with deploying a qualitative resistance alone. As we have shown in previous works that virus population bottlenecks are at least partly heritable plant traits, our results suggest that breeding and deploying plant varieties exposing virus populations to narrowed bottlenecks will increase yield and delay the emergence of RB variants. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.

Indexed as

Disease ResistanceEpidemicsModels, StatisticalPlant BreedingPlant DiseasesPlantsVirusesVirus Physiological Phenomenapopulation bottleneckqualitative resistancequantitative resistanceresistance durabilitystochastic epidemic modelyield increase

Identifiers

PMID31056046
PMCPMC6553610

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.