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.

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

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.)

Cata-rotors (2019)

Visualising age- and cataract-related changed within cell membranes of human eye lens using molecular rotors

Read More  

DEAP (2019)

Development of Epithelium Apical Polarity: Does the mechanical cell-cell adhesions play a role?

Read More  

Migration Ethics (2019)

Migration Ethics

Read More