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Linking micro- and macroevolution: macroevolutionary quantitative genetics of Drosophila wing morhology

Total Cost €


EC-Contrib. €






 FLYWING project word cloud

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

time    world    statistical    hansen    phylogenetic    phenomenal    me    quality    rigorous    close    thomas    genetics    provides    consists    houle    myself    micro    collected    bridge    individual    insights    researcher    conservation    mismatch    macroevolution    training    accurate    theory    analyze    ways    species    conceptual    combines    link    variance    flywing    uoo    david    geneticists    receive    goals    opportunity    multivariate    forefront    advancements    give    microevolution    counterpart    florida    hypothesis    paradox    ecology    striking    family    oslo    university    edge    prof    matrices    date    idea    interface    pave    drosophilidae    scales    macroevolutionary    covariance    framework    independent    methodological    stasis    quantitative    remaining    evolution    roads    wing    37    trait    morphology    structure    drosophila    labs    evolutionary    matrix    111    theories    genetic    biology    exceptionally    constraints    cutting    fly    dataset    data    observations    668    multidisciplinary   

Project "FLYWING" data sheet

The following table provides information about the project.


Organization address
address: PROBLEMVEIEN 5-7
city: OSLO
postcode: 313

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 Norway [NO]
 Project website
 Total cost 208˙400 €
 EC max contribution 208˙400 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2019-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITETET I OSLO NO (OSLO) coordinator 208˙400.00


 Project objective

The striking mismatch between evolution at short (microevolution) and long (macroevolution) time scales is a major remaining problem in evolutionary biology (the paradox of stasis). FLYWING will apply novel quantitative genetic theories and statistical methods to analyses of exceptionally high quality data to make a major step forward to solve the paradox of stasis.

Working with Prof. Thomas Hansen at University of Oslo (UoO), I will test the idea that trait variance covariance structure (G-matrix) provides the conceptual bridge to link micro- and macroevolution (the multivariate genetic constraints hypothesis). The goals of FLYWING will be achieved through a novel multidisciplinary approach that combines quantitative genetic theory and state-of-the-art phylogenetic comparative methods (macroevolutionary quantitative genetics). I will apply this framework to analyze wing morphology data of the fly family Drosophilidae, collected by Prof. David Houle at Florida State University and available at UoO. The fly wing data consists of 37,668 exceptionally accurate individual observations across 111 Drosophila fly species. The data of such high quality has no close counterpart in any labs elsewhere in the world. The phenomenal dataset and my novel macroevolutionary quantitative genetic approach will make FLYWING the most rigorous test of the multivariate genetic constraints hypothesis to date. 
 FLYWING will give me the opportunity to receive top quality research training from two world leading authorities of quantitative geneticists (Prof. Hansen and Prof. Houle) to establish myself as an independent researcher at the forefront of evolutionary biology. Results from FLYWING will produce cutting-edge insights for issues at the interface between micro- and macroevolution. The conceptual and methodological advancements of FLYWING will pave the roads for novel ways to use G-matrices in ecology and conservation biology.

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

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