Opendata, web and dolomites

BeePath SIGNED

Impact of vector-mediated transmission on the evolution and ecology of a bee virus

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 BeePath project word cloud

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

dwv    free    virulence    dramatic    reverse    island    mitigation    ecology    vector    diseases    borne    deformed    direct    natural    infects    provides    insights    populations    facilitated    prevalence    empirical    bees    population    raises    hive    additional    crops    adapt    disease    wild    epidemiology    phenotypic    drastic    model    food    species    severe    zoonotic    pathogens    lack    despite    fundamental    strategies    viral    routes    pathogen    wing    acquisition    mortality    cutting    impacts    biodiversity    evolutionary    edge    mite    honeybees    molecule    lab    infested    virus    pollinators    wildflowers    guide    links    infectious    prevention    causal    question    safeguard    host    single    theoretical    security    bumblebees    honeybee    molecular    refugia    potentially    specialist    establishing    varroa    bee    experiment    evolution    declines    emergence    profound    experiments    destructor    sequencing    opportunity    ectoparasitic    genetics    halting    transmission    linked   

Project "BeePath" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET ULM 

Organization address
address: HELMHOLTZSTRASSE 16
city: ULM
postcode: 89081
website: www.uni-ulm.de

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 Germany [DE]
 Total cost 1˙999˙531 €
 EC max contribution 1˙999˙531 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-COG
 Funding Scheme ERC-COG
 Starting year 2020
 Duration (year-month-day) from 2020-05-01   to  2025-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET ULM DE (ULM) coordinator 1˙857˙780.00
2    THE UNIVERSITY OF EXETER UK (EXETER) participant 141˙751.00

Map

 Project objective

The emergence of novel transmission routes is likely to have profound impacts on the ecology and evolution of infectious diseases, with potentially dramatic effects on host populations. This might be particularly drastic when transmission changes from direct to vector-borne transmission, where prevalence and virulence are expected to increase. Despite its importance for disease control, we lack empirical and theoretical understanding of this process. The emergence of Varroa destructor in honeybees provides a unique opportunity to study how a novel vector affects pathogen ecology and evolution: this ectoparasitic mite is a novel vector for Deformed Wing Virus (DWV), a disease linked to severe increases in hive mortality. To study the fundamental evolutionary ecology of emerging vector-borne diseases, I will exploit a unique natural experiment, the presence of Varroa-free island refugia, to test how this novel vector affects epidemiology and evolution in the field. I will adapt cutting-edge single molecule sequencing to guide controlled lab experiments by viral evolution in the wild, establishing novel reverse genetics approaches in DWV to test causal links between phenotypic and molecular evolution. Like all emerging diseases, DWV is a multi-host pathogen that also infects wild bee species not infested by Varroa, such as bumblebees. This raises an additional question, highly relevant for zoonotic diseases: does this specialist honeybee vector impact disease in wild bee populations? I will model the impact of vector acquisition and evolving pathogens on host populations and test potential prevention and mitigation strategies to safeguard these crucial pollinators. This system will not only provide fundamental insights into the evolutionary ecology of disease, but is also of immediate applied importance: bees are key pollinators of crops and wildflowers, and halting population declines facilitated by infectious disease is crucial for food security and biodiversity.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BEEPATH" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

CUSTOMER (2019)

Customizable Embedded Real-Time Systems: Challenges and Key Techniques

Read More  

CohoSing (2019)

Cohomology and Singularities

Read More  

CHIPTRANSFORM (2018)

On-chip optical communication with transformation optics

Read More