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Hi-SynVir

High-throughput characterization of host promiscuity for precisely designed synthetic viral capsid

Total Cost €

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EC-Contrib. €

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Partnership

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 Hi-SynVir project word cloud

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

sites    determinants    solutions    arthropods    densoviruses    ecosystems    genomes    informed    urgent    underlying    structure    vary    variety    mosquitoes    precisely    small    molecular    considerably    pathogenic    capsid    predict    altered    agriculture    sequences    traditional    pests    assays    relate    functional    deepened    host    bioinformatic    technologies    amongst    106    aphids    efficiency    virulence    select    splicing    swiftly    propagation    natural    disease    throughput    reconstitute    leverage    multiplexed    inform    dna    precise    vectors    relationships    synthesis    viral    sequencing    designed    models    pythophagous    ecology    risk    biocontrol    hypotheses    libraries    unintended    mechanisms    globalization    environment    scalable    variants    contain    climate    specificity    densovirinae    safe    geographic    threats    regulatory    deep    sequence    stranded    closely    enhancers    health    genome    insect    populations    translation    subjected    discover    ranges    permit    generate    grasshoppers    evolution    single    behavior    caterpillars    human    data    start    ing    minimizing    viruses    appear   

Project "Hi-SynVir" data sheet

The following table provides information about the project.

Coordinator
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT 

Organization address
address: Rue De L'Universite 147
city: PARIS CEDEX 07
postcode: 75338
website: www.inra.fr

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 France [FR]
 Project website https://www6.montpellier.inra.fr/dgimi_eng/Research-groups/Dynamics-of-Interactions-between-Densovirus-and-Insects-DIDI
 Total cost 185˙076 €
 EC max contribution 185˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2017-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT FR (PARIS CEDEX 07) coordinator 185˙076.00

Map

 Project objective

Traditional geographic ranges of insect pests are altered by globalization and climate change, resulting in emerging threats for natural ecosystems, agriculture and human health. It is urgent to improve our ability to swiftly develop targeted solutions to contain such threats, while minimizing unintended side effects on the environment. Densovirinae are very small, single-stranded DNA viruses pathogenic to a variety of arthropods, including pythophagous caterpillars and grasshoppers, as well as disease vectors such as aphids and mosquitoes. Host ranges appear to vary considerably amongst even closely related densoviruses. A better understanding of the molecular mechanisms underlying virulence and specificity is necessary to evaluate the risk and opportunities associated with potential use in controlling natural insect populations.

We propose to discover these molecular determinants through the use of precisely designed libraries of viral genomes. We will leverage cost-effective and scalable DNA synthesis and sequencing technologies to generate high-throughput implementation and testing of precise molecular hypotheses. These will be informed by currently available knowledge and further deepened by bioinformatic analysis of natural sequences. We will produce ~106 controlled variants of the viral capsid as well as select viral regulatory sequence elements (enhancers, splicing and translation start sites). Resulting libraries will be subjected to multiplexed, deep-sequencing-based functional assays.

The scale of this approach will permit to reconstitute the sequence-structure-activity relationships required to relate viral genomes to host specificity and propagation efficiency. These data will support the development of models to predict the behavior of a viral genome in a new ecology, assess its potential for future evolution and inform the safe use of viral vectors for the targeted biocontrol of insect populations.

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