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EPIDEMICSonCHIP SIGNED

EPIDEMICS in ant societies ON a CHIP

Total Cost €

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EC-Contrib. €

0

Partnership

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 EPIDEMICSonCHIP project word cloud

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

form    colony    hosts    experimental    techniques    platform    replicate    sanitary    manipulate    interaction    dense    organisational    members    develops    quantity    chip    living    ant    group    epidemic    quantify    accessible    societies    engineer    individuals    combine    amplifies    spatiotemporal    reproductive    shapes    arbitrarily    modeling    offspring    initial    experiments    spread    monitor    collective    subset    pathogen    fitness    correlational    infer    easily    workers    sick    host    automatised    networks    turn    epidemics    limit    care    sterile    powerful    immunity    single    insect    manipulative    disease    defence    social    surveillance    entity    productivity    behaviours    protection    pathogens    principles    structure    defences    males    individual    poorly    evolution    majority    interactions    generation    behavioural    quantified    society    emerges    effect    observe    risk    synergise    lab    read    queens    fungal    quality    infection    individually   

Project "EPIDEMICSonCHIP" data sheet

The following table provides information about the project.

Coordinator
INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA 

Organization address
address: Am Campus 1
city: KLOSTERNEUBURG
postcode: 3400
website: www.ist.ac.at

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 Austria [AT]
 Project website https://socialimmunity.com/funding/erc-consolidator-grant-2017
 Total cost 1˙991˙564 €
 EC max contribution 1˙991˙564 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2023-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA AT (KLOSTERNEUBURG) coordinator 1˙991˙564.00

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 Project objective

Living in societies amplifies the risk of getting sick, as pathogens can easily spread along the dense social interaction networks of the hosts. Sanitary care and the organisational structure of societies are expected to limit the risk of epidemics. Yet, how the defences of the individual group members scale-up, combine and synergise towards society-level protection, is poorly understood, as the majority of societies can only be studied via correlational and modeling approaches. Insect societies provide a powerful system for experimental studies, as whole societies are accessible for surveillance and manipulative approaches. We can monitor every behavioural interaction between all members, determine their effects on colony-wide disease spread and replicate experiments arbitrarily. The fitness effects of collective disease defences can be quantified, as they result in a single fitness measure of colony productivity. This is because all members of a social insect colony form a reproductive entity composed of the reproductive queens and males and their sterile workers. I will use an ant host–fungal pathogen system to find out how initial infection develops into an epidemic, and, in turn, how colony-level defence emerges from the interactions between its members. To infer effect from cause, I will not only observe the colony after initial infection of a subset of colony members, but also manipulate the sanitary behaviours and spatiotemporal interaction of host individuals. To this end, I will engineer an automatised platform, following the principles of lab-on-a-chip techniques, to individually target and manipulate colony members, and to quantify their behaviours. Fitness effects will be read out by the quantity and quality of reproductive offspring in the next generation. Such a long-term whole-colony approach is required for understanding the evolution of social immunity, that is, how disease shapes society and how society shapes disease.

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

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