Evidence map›Paper›PMID 25926883›Full record

ArticleEvolutionary applications2015

Crop pathogen emergence and evolution in agro-ecological landscapes.

Julien Papaïx, Jeremy J Burdon, Jiasui Zhan, Peter H Thrall

Abstract read
In one paragraph

Article in Evolutionary applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Together again: the invasive mustardBioControl (Dordrecht, Netherlands) · 2025
    Article
  3. Comprehensive analysis of the mechanisms conferring resistance to phenamacril in theFrontiers in cellular and infection microbiology · 2025
    Review
  4. Article
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  10. Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  11. Article
  12. Article
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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.

Julien PapaïxUMR 1290 BIOGER, INRA Thiverval-Grignon, France ; UR 341 MIA, INRA Jouy-en-Josas, France ; UR 546 BioSP, INRA Avignon, France ; CSIRO Agriculture Flagship Canberra, ACT, Australia.
Jeremy J BurdonCSIRO Agriculture Flagship Canberra, ACT, Australia.
Jiasui ZhanFujian Key Lab of Plant Virology, Institute of Plant Virology, Fujian Agriculture and Forestry University Fuzhou, China.
Peter H ThrallCSIRO Agriculture Flagship Canberra, ACT, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remnant areas hosting natural vegetation in agricultural landscapes can impact the disease epidemiology and evolutionary dynamics of crop pathogens. However, the potential consequences for crop diseases of the composition, the spatial configuration and the persistence time of the agro-ecological interface - the area where crops and remnant vegetation are in contact - have been poorly studied. Here, we develop a demographic-genetic simulation model to study how the spatial and temporal distribution of remnant wild vegetation patches embedded in an agricultural landscape can drive the emergence of a crop pathogen and its subsequent specialization on the crop host. We found that landscape structures that promoted larger pathogen populations on the wild host facilitated the emergence of a crop pathogen, but such landscape structures also reduced the potential for the pathogen population to adapt to the crop. In addition, the evolutionary trajectory of the pathogen population was determined by interactions between the factors describing the landscape structure and those describing the pathogen life histories. Our study contributes to a better understanding of how the shift of land-use patterns in agricultural landscapes might influence crop diseases to provide predictive tools to evaluate management practices.

Indexed as

agro-ecological interfacelandscape epidemiologypathogen evolutionplant disease management

Identifiers

PMID25926883
PMCPMC4408149

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LicenceCC BY
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Registered trials

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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.