Opendata, web and dolomites

Coevolution SIGNED

The genomic signature of rapid coevolution within a wild host-parasite system

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 Coevolution project word cloud

Explore the words cloud of the Coevolution project. It provides you a very rough idea of what is the project "Coevolution" about.

differentiation    pasteuria    infect    act    species    investigation    fundamental    wild    conduct    daphnia    multiple    forms    practical    shape    street    antagonistic    red    livestock    health    human    drive    life    phenotypic    core    enormous    time    dynamics    genetic    impose    series    parasite    diversity    linkage    timescales    theory    genome    found    disequilibrium    acts    direct    coevolutionary    first    communities    magna    ramosa    bacterial    yield    interspecies    queen    host    population    agriculture    though    center    theoretical    year    clear    basis    parasitism    sediment    course    genomes    generate    parasites    imposed    genomic    local    predictions    capitalize    little    resolution    too    simplified    coevolution    metazoan    biological    laboratory    experiments    natural    aquaculture    empirical    evolve    populations    unfortunately    evolution    single    entire    respect    driver    society    point    considerable    nearly    setting   

Project "Coevolution" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT BASEL 

Organization address
address: PETERSPLATZ 1
city: BASEL
postcode: 4051
website: www.unibas.ch

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 203˙149 €
 EC max contribution 203˙149 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2021-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT BASEL CH (BASEL) coordinator 203˙149.00

Map

 Project objective

Parasites infect nearly all forms of metazoan life, and act to shape the evolution of host populations and drive the dynamics of entire biological communities. Parasitism also acts a 2-way street: As host populations evolve in response to selection imposed by their parasites, so too does the parasite evolve in response to its host. This antagonistic coevolution between host and parasite may generate much of the genetic diversity found in natural populations, and is likely a strong driver of local adaptation and population differentiation. Host-parasite coevolution is also of enormous practical concern for human society, as parasites impose considerable costs in respect to agriculture, livestock production, aquaculture, and human health. Unfortunately though, very little empirical evidence is available to evaluate some of the most fundamental predictions of coevolutionary theory, especially in respect to the genomic basis of coevolution, as past studies of antagonistic coevolution have typically been conducted at the phenotypic level, or using simplified host-parasite systems in a laboratory setting. I therefore propose to conduct a direct genome-level investigation of antagonistic coevolution between wild populations of a host (Daphnia magna) and its bacterial parasite (Pasteuria ramosa). This research will capitalize upon recent technical and theoretical advances in the D. magna / P. ramosa system, and will center upon the measurement of interspecies linkage disequilibrium across the genomes of both species. This investigation will be conducted across multiple timescales: A single point in time, across the course of one year, and across a 50-year sediment core time-series. I expect that these experiments will yield direct genomic evidence of antagonistic coevolution in a natural population, a clear test of Red Queen coevolutionary dynamics, and the first genetic time-series of such resolution and duration.

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The information about "COEVOLUTION" are provided by the European Opendata Portal: CORDIS opendata.

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