Evidence map›Paper›PMID 26989440›Full record

ArticleEvolutionary applications2016

Temporal sampling helps unravel the genetic structure of naturally occurring populations of a phytoparasitic nematode. 1. Insights from the estimation of effective population sizes.

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

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Pierre-Loup JanINRA UMR1349 IGEPPF-35653 Le Rheu Cedex France; INRA UMR985 ESEF-35042 Rennes Cedex France.
Cécile GracianneINRA UMR1349 IGEPP F-35653 Le Rheu Cedex France.
Sylvain FournetINRA UMR1349 IGEPP F-35653 Le Rheu Cedex France.
Eric OlivierINRA UMR1349 IGEPP F-35653 Le Rheu Cedex France.
Jean-François ArnaudUMR CNRS 8198 Évolution, Écologie et Paléontologie Université Lille 1 - Sciences et Technologies 59655 Villeneuve d'Ascq Cedex France.
Catherine PorteINRA UMR1349 IGEPP F-35653 Le Rheu Cedex France.
Sylvie Bardou-ValetteINRA UMR1349 IGEPP F-35653 Le Rheu Cedex France.
Marie-Christine DenisINRA UMR1349 IGEPP F-35653 Le Rheu Cedex France.
Eric J PetitINRA UMR985 ESE F-35042 Rennes Cedex France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sustainability of modern agriculture relies on strategies that can control the ability of pathogens to overcome chemicals or genetic resistances through natural selection. This evolutionary potential, which depends partly on effective population size (N e ), is greatly influenced by human activities. In this context, wild pathogen populations can provide valuable information for assessing the long-term risk associated with crop pests. In this study, we estimated the effective population size of the beet cyst nematode, Heterodera schachtii, by sampling 34 populations infecting the sea beet Beta vulgaris spp. maritima twice within a one-year period. Only 20 populations produced enough generations to analyze the variation in allele frequencies, with the remaining populations showing a high mortality rate of the host plant after only 1 year. The 20 analyzed populations showed surprisingly low effective population sizes, with most having N e close to 85 individuals. We attribute these low values to the variation in population size through time, systematic inbreeding, and unbalanced sex-ratios. Our results suggest that H. schachtii has low evolutionary potential in natural environments. Pest control strategies in which populations on crops mimic wild populations may help prevent parasite adaptation to host resistance.

Indexed as

Beta vulgaris spp. maritimaeffective population sizeHeterodera schachtiitemporal samplingwild nematode populations

Identifiers

PMID26989440
PMCPMC4778111

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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.