Opendata, web and dolomites


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

Total Cost €


EC-Contrib. €






 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.

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

Project "BeePath" data sheet

The following table provides information about the project.


Organization address
city: ULM
postcode: 89081

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


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


 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.

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

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