Evidence map›Paper›PMID 25116080›Full record

ArticlePloS one2014

Long-distance wind-dispersal of spores in a fungal plant pathogen: estimation of anisotropic dispersal kernels from an extensive field experiment.

Adrien Rieux, Samuel Soubeyrand, François Bonnot, Etienne K Klein, Josue E Ngando, Andreas Mehl, Virginie Ravigne, Jean Carlier, Luc de Lapeyre de Bellaire

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
12.1field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 136 citations in OpenAlex.

  1. Article
  2. Article
  3. Genetic diversity and structure of the coffee leaf rust fungus Hemileia vastatrix across different coffee management systems in Ethiopia.International microbiology : the official journal of the Spanish Society for Microbiology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Multi-Scale Airborne Infectious Disease Transmission.Applied and environmental microbiology · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Distribution ofPlant pathology · 2020
    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

9 authors at 6 institutions in 3 countries.

Adrien RieuxCIRAD, UMR BGPI, Montpellier, France.
Samuel SoubeyrandINRA, UR546 Biostatistics and Spatial Processes (BioSP), Avignon, France.
François BonnotCIRAD, UMR BGPI, Montpellier, France.
Etienne K KleinINRA, UR546 Biostatistics and Spatial Processes (BioSP), Avignon, France.
Josue E NgandoCentre Africain de Recherches sur Bananiers et Plantains (CARBAP) - Njombe, Cameroon.
Andreas MehlBayer CropScience AG, Monheim, Germany.
Virginie RavigneCIRAD, UMR BGPI, Montpellier, France.
Jean CarlierCIRAD, UMR BGPI, Montpellier, France.
Luc de Lapeyre de BellaireCIRAD, UPR Systèmes de culture bananiers plantains ananas, Montpellier, France.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRBiostatistique et Processus Spatiaux · FRBayer (Germany) · DEBiologie et Génétique des Interactions Plante-Parasite · FRCentre Africain de Recherches sur Bananiers et Plantains · CMFonctionnement et Conduite des Systèmes de Culture Tropicaux et Méditerranéens · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given its biological significance, determining the dispersal kernel (i.e., the distribution of dispersal distances) of spore-producing pathogens is essential. Here, we report two field experiments designed to measure disease gradients caused by sexually- and asexually-produced spores of the wind-dispersed banana plant fungus Mycosphaerella fijiensis. Gradients were measured during a single generation and over 272 traps installed up to 1000 m along eight directions radiating from a traceable source of inoculum composed of fungicide-resistant strains. We adjusted several kernels differing in the shape of their tail and tested for two types of anisotropy. Contrasting dispersal kernels were observed between the two types of spores. For sexual spores (ascospores), we characterized both a steep gradient in the first few metres in all directions and rare long-distance dispersal (LDD) events up to 1000 m from the source in two directions. A heavy-tailed kernel best fitted the disease gradient. Although ascospores distributed evenly in all directions, average dispersal distance was greater in two different directions without obvious correlation with wind patterns. For asexual spores (conidia), few dispersal events occurred outside of the source plot. A gradient up to 12.5 m from the source was observed in one direction only. Accordingly, a thin-tailed kernel best fitted the disease gradient, and anisotropy in both density and distance was correlated with averaged daily wind gust. We discuss the validity of our results as well as their implications in terms of disease diffusion and management strategy.

Indexed as

FungiSpores, FungalWindAlgorithmsAscomycotaModels, StatisticalPlant DiseasesPlants

Identifiers

PMID25116080
PMCPMC4130500
OpenAlexW1991402582

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.