Opendata, web and dolomites

HELPHERGEN SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "HELPHERGEN" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

SingleCellAI (2019)

Deep-learning models of CRISPR-engineered cells define a rulebook of cellular transdifferentiation

Read More  

InBPSOC (2020)

Increases biomass production and soil organic carbon stocks with innovative cropping systems under climate change

Read More  

MarshFlux (2020)

The effect of future global climate and land-use change on greenhouse gas fluxes and microbial processes in salt marshes

Read More