Opendata, web and dolomites

SongNeuroGen SIGNED

Species discrimination in birds: A behavioural-neurogenomics approach to auditory learning

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 SongNeuroGen project word cloud

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

alternative    ultimately    regulation    radically    first    whom    gene    occurring    causes    employing    fitness    drivers    goals    fundamental    question    mates    reared    closely    hypothesized    genomes    career    mating    populations    perception    species    poorly    song    integrative    flycatcher    influences    diversification    evolutionary    risk    mechanisms    expression    learning    speciation    captive    place    individual    individuals    decisions    auditory    co    songs    context    native    influencing    transformative    observing    tractable    sensory    appropriate    sequencing    broad    conspecifics    extinction    integrate    basis    mistakenly    genes    leveraging    behaviors    ecological    mate    ongoing    uncover    flycatchers    differences    behavioural    associate    population    choose    birds    underlying    distinguish    biology    ficedula    how    discriminating    me    traits    powerful    divergence    discrimination    interplay    phenotypes    songbird    risks    learned    neurogenomic    reduce    vital    genetic    variety   

Project "SongNeuroGen" data sheet

The following table provides information about the project.

Coordinator
STOCKHOLMS UNIVERSITET 

Organization address
address: UNIVERSITETSVAGEN 10
city: STOCKHOLM
postcode: 10691
website: www.su.se

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 Sweden [SE]
 Total cost 1˙490˙850 €
 EC max contribution 1˙490˙850 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-11-01   to  2024-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STOCKHOLMS UNIVERSITET SE (STOCKHOLM) coordinator 1˙490˙850.00

Map

 Project objective

How individuals choose mates is a fundamental question in evolutionary biology. Mating decisions have broad consequences, influencing individual fitness and population-level evolutionary and ecological processes, including diversification, speciation, and extinction. Discriminating against potential mates from closely related co-occurring species is a vital step in finding an appropriate mate. However, individuals from many species learn with whom to mate by first observing a variety of conspecifics, which risks mistakenly learning from co-occurring species with similar phenotypes. Genetic divergence among species in sensory perception is widely hypothesized to reduce this risk, but the underlying mechanisms and, therefore, the evolutionary causes and consequences are poorly understood.

My proposal aims to uncover the causes and consequences of genetic divergence in auditory learning of songs, key species discrimination traits in birds. I have developed a powerful study system to distinguish the influences of genes and learning on species-specific song perception, employing two closely related Ficedula flycatcher species. I will use this tractable system to: (i) evaluate alternative evolutionary drivers of genetic divergence in song discrimination, (ii) determine the interplay between genetic effects and auditory learning throughout development, and (iii) associate species differences in discrimination with gene expression and, ultimately, divergence in gene regulation. To achieve these goals, I will integrate behavioural and neurogenomic approaches on populations across the flycatchers’ native range and from captive-reared populations, leveraging ongoing sequencing of songbird genomes to place flycatcher results in a broader evolutionary context. This integrative project will have the potential to radically change our understanding of the genetic basis of species differences in learned behaviors and will allow me to develop transformative, career-level research.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SONGNEUROGEN" 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 "SONGNEUROGEN" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

QLite (2019)

Quantum Light Enterprise

Read More  

CoolNanoDrop (2019)

Self-Emulsification Route to NanoEmulsions by Cooling of Industrially Relevant Compounds

Read More  

QUAMAP (2019)

Quasiconformal Methods in Analysis and Applications

Read More