Opendata, web and dolomites

SocBehGenoPheno SIGNED

Genetic basis of emergent social behaviour from genotype-phenotype mapping

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 SocBehGenoPheno project word cloud

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

phenotypic    imaging    hereby    describe    dynamic    emergent    exhaustive    structures    origins    host    quantitative    plays    density    cutting    link    positions    brand    insights    behavioural    computational    stepping    species    spatial    feeding    ubiquitous    trackability    extremely    survival    tracking    amenability    caenorhabditis    worm    hundreds    manner    modern    coordinated    immense    independent    quantify    time    genotypes    strains    techniques    question    phenotyping    genotype    edge    nematode    individuals    space    mechanisms    tolerance    phenotype    phenomenon    ideal    despite    examine    data    phenotypes    emergence    rigorously    dependent    characterising    elucidating    genetic    mapping    career    context    social    opaque    stone    university    scientific    mutations    collective    amounts    quantitatively    networking    relationship    model    throughput    training    conspicuous    form    elegans    perfect    basis    first    biology    interdisciplinary    action    collected    postures   

Project "SocBehGenoPheno" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

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 United Kingdom [UK]
 Total cost 224˙933 €
 EC max contribution 224˙933 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-07-01   to  2021-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 224˙933.00

Map

 Project objective

Social behaviour plays an important role in the survival and development of many species with the most conspicuous and ubiquitous form being collective behaviour – the coordinated action of two or more individuals of the same species. Despite immense interest in collective behaviour in biology, the dynamic relationship between genotypes and phenotypes characterising this phenomenon remains opaque. Understanding this link, however, is crucial to elucidating the mechanisms of collective behaviour and emergence of social structures, and, most importantly, the genetic origins of social behaviour. In this project, I aim to quantify the genotype-phenotype mapping in the social behaviour of the nematode worm Caenorhabditis elegans using quantitative phenotyping and computational modelling. Due to its unique amenability to exhaustive genetic analyses, trackability and rich collective properties (so-called collective feeding), C. elegans is a perfect system to address this question. My project will use high-throughput imaging data of social feeding in hundreds of different C. elegans strains. I will develop a novel dynamic multi-state model based on worm postures and spatial positions, allowing to quantitatively describe nematode social behaviour in a worm density-dependent manner. My research programme will, for the first time, rigorously examine the phenotypic behavioural space in C. elegans and test its tolerance to mutations in a social context, hereby providing insights into the genetic basis of emergent social behaviour. Such a study is extremely timely as it will build on the brand-new nematode data collected at my host university using cutting-edge imaging and tracking techniques. This interdisciplinary project will provide significant amounts of training in modern quantitative and systems biology, including data analysis and modelling, as well as in research project management and networking, and thus be an ideal stepping stone to an independent scientific career.

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

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

NaWaTL (2020)

Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and Iconography

Read More  

MIGPSC (2018)

Shaping the European Migration Policy: the role of the security industry

Read More  

NPsVLCD (2019)

Natural Product-Inspired Therapies for Leishmaniasis and Chagas Disease

Read More