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SocBehGenoPheno SIGNED

Genetic basis of emergent social behaviour from genotype-phenotype mapping

Total Cost €

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EC-Contrib. €

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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.

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

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.
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 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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