Explore the words cloud of the SocBehGenoPheno project. It provides you a very rough idea of what is the project "SocBehGenoPheno" about.
The following table provides information about the project.
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
|Coordinator Country||United Kingdom [UK]|
|Total cost||224˙933 €|
|EC max contribution||224˙933 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2019-07-01 to 2021-06-30|
Take a look of project's partnership.
|1||IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE||UK (LONDON)||coordinator||224˙933.00|
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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