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HELPHERGEN SIGNED

THE GENETIC BASIS OF MATING BEHAVIOR: PHEROMONE COMMUNICATION IN NOCTUID MOTHS

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 HELPHERGEN project word cloud

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

genome    traits    amsterdam    reveal    dynamics    wild    skills    covary    behavioral    communication    genes    reproductive    engineering    headway    male    mating    integrating    cas9    poorly    share    framework    experiments    training    secondment    idiosyncratic    variation    females    multivariate    uva    behaviors    trait    innovative    expression    editing    pleiotropy    fitness    supervisor    university    correlated    cutting    edge    candidate    signals    assays    examine    roles    rituals    evolution    regimes    dramatic    phenotypic    attraction    sex    techniques    differential    lines    courtship    gene    pheromone    host    bioinformatic    genotype    collaborative    interdisciplinary    effect    degree    biology    moths    ibed    inevitably    functional    animal    mate    males    female    lab    quantitative    genetic    sexes    ecosystem    knock    multidisciplinary    map    evolutionary    noctuid    phenotype    architecture    scripting    biodiversity    excellent    crispr    combines    behavior   

Project "HELPHERGEN" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT VAN AMSTERDAM 

Organization address
address: SPUI 21
city: AMSTERDAM
postcode: 1012WX
website: www.uva.nl

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 Netherlands [NL]
 Total cost 177˙598 €
 EC max contribution 177˙598 € (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 2018-10-01   to  2020-12-13

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT VAN AMSTERDAM NL (AMSTERDAM) coordinator 177˙598.00

Map

 Project objective

The genetic architecture of behavior is a major topic in biology, but remains poorly understood. The behaviors with the most dramatic effect on animal fitness are those involved in mate attraction and courtship, which are directly related to reproductive success. Males and females share a genome but have idiosyncratic roles in courtship rituals; mating traits thus experience sex-specific selection regimes. Variation at the gene expression level can facilitate sex-specific trait evolution to some degree. However, sex-specific traits inevitably covary, leading to correlated evolutionary responses (pleiotropy). Here I propose an innovative and multidisciplinary framework integrating a quantitative genetic approach to multivariate phenotypic evolution with functional genetic experiments. The key objective is to reveal how genes controlling traits involved in mating behavior can have widespread phenotypic effects across sexes by quantitative genetic measurements of pheromone communication variation in wild-type and knock-out lines of noctuid moths. I will examine the correlated evolution of pheromone signals in male and female moths and identify candidate genes using differential expression analyses. Then, I will examine the phenotypic effects using the cutting-edge CRISPR/Cas9 system and a quantitative genetic framework to test behavioral effects. The proposed research combines behavioral, quantitative genetic, and gene editing techniques and will make headway towards understanding the genotype-phenotype map of mating behavior. I will be based at the Institute for Biodiversity and Ecosystem Dynamics (IBED), an excellent interdisciplinary research institute focusing on functional biodiversity at the University of Amsterdam (UvA). Via training-through-research and a secondment at a collaborative lab of the host supervisor, I will learn essential, state-of-the-art skills including genetic engineering, gene expression assays, and advanced bioinformatic scripting.

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

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