Evidence map›Paper›PMID 27606008›Full record

ArticleEvolutionary applications2016

Temporal sampling helps unravel the genetic structure of naturally occurring populations of a phytoparasitic nematode. 2. Separating the relative effects of gene flow and genetic drift.

Cécile Gracianne, Pierre-Loup Jan, Sylvain Fournet, Eric Olivier, Jean-François Arnaud, Catherine Porte, Sylvie Bardou-Valette, Marie-Christine Denis, Eric J Petit

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.1field-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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Effector geneJournal of nematology · 2018
    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 4 institutions in 1 country.

Cécile GracianneIGEPPINRA, Agrocampus Ouest Université Rennes 1 Le Rheu France; Vet Agro Sup, UMR 1095, GDEC Clermont Université Clermont-Ferrand France.
Pierre-Loup JanIGEPPINRA, Agrocampus Ouest Université Rennes 1 Le Rheu France; ESE, Ecology and Ecosystems Health Agrocampus Ouest INRA Rennes France.
Sylvain FournetIGEPP INRA, Agrocampus Ouest Université Rennes 1 Le Rheu France.
Eric OlivierIGEPP INRA, Agrocampus Ouest Université Rennes 1 Le Rheu France.
Jean-François ArnaudUMR CNRS 8198 Évolution Écologie et Paléontologie Université Lille 1 - Sciences et Technologies Villeneuve d'Ascq Cedex France.
Catherine PorteIGEPP INRA, Agrocampus Ouest Université Rennes 1 Le Rheu France.
Sylvie Bardou-ValetteIGEPP INRA, Agrocampus Ouest Université Rennes 1 Le Rheu France.
Marie-Christine DenisIGEPP INRA, Agrocampus Ouest Université Rennes 1 Le Rheu France.
Eric J PetitESE, Ecology and Ecosystems Health Agrocampus Ouest INRA Rennes France.
Institut de Génétique, Environnement et Protection des Plantes · FRInstitut Agro Rennes-Angers · FRCentre National de la Recherche Scientifique · FRVetAgro Sup · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying wild pathogen populations in natural ecosystems offers the opportunity to better understand the evolutionary dynamics of biotic diseases in crops and to enhance pest control strategies. We used simulations and genetic markers to investigate the spatial and temporal population genetic structure of wild populations of the beet cyst nematode Heterodera schachtii on a wild host plant species, the sea beet (Beta vulgaris spp. maritima), the wild ancestor of cultivated beets. Our analysis of the variation of eight microsatellite loci across four study sites showed that (i) wild H. schachtii populations displayed fine-scaled genetic structure with no evidence of substantial levels of gene flow beyond the scale of the host plant, and comparisons with simulations indicated that (ii) genetic drift substantially affected the residual signals of isolation-by-distance processes, leading to departures from migration-drift equilibrium. In contrast to what can be suspected for (crop) field populations, this showed that wild cyst nematodes have very low dispersal capabilities and are strongly disconnected from each other. Our results provide some key elements for designing pest control strategies, such as decreasing passive dispersal events to limit the spread of virulence among field nematode populations.

Indexed as

assignment testsgene flowHeterodera schachtiimigration–drift equilibriumwild nematode populations

Identifiers

PMID27606008
PMCPMC4999530
OpenAlexW2430058044

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.