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EPIDEMICSonCHIP SIGNED

EPIDEMICS in ant societies ON a CHIP

Total Cost €

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EC-Contrib. €

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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.

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

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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