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EvolBehavGenArch SIGNED

The composition and evolution of C. elegans behavioural genetic architectures

Total Cost €


EC-Contrib. €






Project "EvolBehavGenArch" data sheet

The following table provides information about the project.


Organization address
address: 45, RUE D'ULM
city: PARIS CEDEX 05
postcode: 75230

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 France [FR]
 Total cost 185˙076 €
 EC max contribution 185˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-09-03   to  2020-09-02


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ECOLE NORMALE SUPERIEURE FR (PARIS CEDEX 05) coordinator 185˙076.00


 Project objective

The maintenance of genetic diversity in the face of neutral and non-neutral processes that continually erode it is one of the longstanding puzzles of biology. Natural selection shapes the genetic variation provided by mutation, segregation and recombination to (generally) improve fitness, but it is often difficult to obtain measures of fitness and genetic variation in the interesting, but uncontrolled, natural environments in which we find organisms. A related question is the heritable basis of phenotypic variance. Knowing the genetic architectures of well-defined traits – the number and type of loci that contribute to phenotypic variance, and the distribution and conditionality of their effects – is central to our general understanding of evolutionary processes, and for our ability to predict phenotypes of interest in agriculture and medicine. In this context, the genetic basis of behavioural variation is particularly fascinating but poorly understood. Caenorhabditis elegans is an exceptional model system with which to tackle these problems, and experimental evolution provides exceptional power to dissect genetic architectures of well-defined behavioural traits and their dynamic properties under controlled conditions. The proposed research will advance our understanding of how trait correlations shape the distribution of genetic variance, and will reveal, in unprecedented detail, the composition and evolution of behavioural genetic architectures shaped by natural selection.


year authors and title journal last update
List of publications.
2019 Luke M. Noble, Matthew V. Rockman, Henrique Teotónio
Gene-level quantitative trait mapping in an expanded C. elegans multiparent experimental evolution panel
published pages: , ISSN: , DOI: 10.1101/589432

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

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