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SocBehGenoPheno SIGNED

Genetic basis of emergent social behaviour from genotype-phenotype mapping

Total Cost €

0

EC-Contrib. €

0

Partnership

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 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.

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

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

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 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.

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

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