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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.

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

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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