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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.

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

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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