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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.

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

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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