Evidence map›Paper›PMID 27859910›Full record

ArticleMolecular ecology2017

Local adaptation at higher trophic levels: contrasting hyperparasite-pathogen infection dynamics in the field and laboratory.

Steven R Parratt, Benoit Barrès, Rachel M Penczykowski, Anna-Liisa Laine

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.9field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. On the Fly: Tritrophic Associations of Bats, Bat Flies, and Fungi.Journal of fungi (Basel, Switzerland) · 2020
    Article
  5. The Pathobiome in Animal and Plant Diseases.Trends in ecology & evolution · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Steven R ParrattMetapopulation Research Centre, Department of Biosciences, University of Helsinki, Viikinkaari 1, 00014, Helsinki, Finland.
Benoit BarrèsMetapopulation Research Centre, Department of Biosciences, University of Helsinki, Viikinkaari 1, 00014, Helsinki, Finland.ORCID http://orcid.org/0000-0002-6777-0275
Rachel M PenczykowskiMetapopulation Research Centre, Department of Biosciences, University of Helsinki, Viikinkaari 1, 00014, Helsinki, Finland.
Anna-Liisa LaineMetapopulation Research Centre, Department of Biosciences, University of Helsinki, Viikinkaari 1, 00014, Helsinki, Finland.
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting and controlling infectious disease epidemics is a major challenge facing the management of agriculture, human and wildlife health. Co-evolutionarily derived patterns of local adaptation among pathogen populations have the potential to generate variation in disease epidemiology; however, studies of local adaptation in disease systems have mostly focused on interactions between competing pathogens or pathogens and their hosts. In nature, parasites and pathogens are also subject to attack by hyperparasitic natural enemies that can severely impact upon their infection dynamics. However, few studies have investigated whether this interaction varies across combinations of pathogen-hyperparasite strains, and whether this influences hyperparasite incidence in natural pathogen populations. Here, we test whether the association between a hyperparasitic fungus, Ampelomyces, and a single powdery mildew host, Podosphaera plantaginis, varies among genotype combinations, and whether this drives hyperparasite incidence in nature. Laboratory inoculation studies reveal that genotype, genotype × genotype interactions and local adaptation affect hyperparasite infection. However, observations of a natural pathogen metapopulation reveal that spatial rather than genetic factors predict the risk of hyperparasite presence. Our results highlight how sensitive the outcome of biocontrol using hyperparasites is to selection of hyperparasite strains.

Indexed as

Adaptation, PhysiologicalAscomycotaGenotypeHost-Pathogen InteractionsPlantagoPlant Diseasesco-evolutiondiseasehost-parasite interactionshyperparasitelocal adaptation

Identifiers

PMID27859910
PMCPMC5412677
OpenAlexW2554694150

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.