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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.

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

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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