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FLYWING TERMINATED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 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.

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

Project "FLYWING" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITETET I OSLO 

Organization address
address: PROBLEMVEIEN 5-7
city: OSLO
postcode: 313
website: www.uio.no

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 https://www.masahitotsuboi.com
 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

 Partnership

Take a look of project's partnership.

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

Map

 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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