Evidence map›Paper›PMID 31856710›Full record

ArticleBMC evolutionary biology2019

Neutral genomic signatures of host-parasite coevolution.

Daniel Živković, Sona John, Mélissa Verin, Wolfgang Stephan, Aurélien Tellier

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Hatchability ofPathogens (Basel, Switzerland) · 2023
    Article
  3. Review
  4. 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

5 authors at 3 institutions in 2 countries.

Daniel ŽivkovićSection of Population Genetics, Technical University of Munich, Freising, Germany. daniel.zivkovic@gmx.at.
Sona JohnSection of Population Genetics, Technical University of Munich, Freising, Germany.
Mélissa VerinSection of Population Genetics, Technical University of Munich, Freising, Germany.
Wolfgang StephanLeibniz Institute for Evolution and Biodiversity Science, Berlin, Germany.
Aurélien TellierSection of Population Genetics, Technical University of Munich, Freising, Germany. tellier@wzw.tum.de.ORCID 0000-0002-8895-0785
Technical University of Munich · DEInstitute for Biodiversity · DEQueen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoevolution is a selective process of reciprocal adaptation in hosts and parasites or in mutualistic symbionts. Classic population genetics theory predicts the signatures of selection at the interacting loci of both species, but not the neutral genome-wide polymorphism patterns. To bridge this gap, we build an eco-evolutionary model, where neutral genomic changes over time are driven by a single selected locus in hosts and parasites via a simple biallelic gene-for-gene or matching-allele interaction. This coevolutionary process may lead to cyclic changes in the sizes of the interacting populations.

resultsWe investigate if and when these changes can be observed in the site frequency spectrum of neutral polymorphisms from host and parasite full genome data. We show that changes of the host population size are too smooth to be observable in its polymorphism pattern over the course of time. Conversely, the parasite population may undergo a series of strong bottlenecks occurring on a slower relative time scale, which may lead to observable changes in a time series sample. We also extend our results to cases with 1) several parasites per host accelerating relative time, and 2) multiple parasite generations per host generation slowing down rescaled time.

conclusionsOur results show that time series sampling of host and parasite populations with full genome data are crucial to understand if and how coevolution occurs. This model provides therefore a framework to interpret and draw inference from genome-wide polymorphism data of interacting species.

Indexed as

Host-Parasite InteractionsModels, GeneticAdaptation, BiologicalAnimalsBiological EvolutionGenetics, PopulationGenomicsParasitesParasitic DiseasesPolymorphism, GeneticPopulation DensityPopulation DynamicsSymbiosisEpidemiological modelPopulation dynamicsPopulation genomicsSI model

Identifiers

PMID31856710
PMCPMC6924072
OpenAlexW2996561254

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.