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AGRISCENTS SIGNED

Scents and sensibility in agriculture: exploiting specificity in herbivore- and pathogen-induced plant volatiles for real-time crop monitoring

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 AGRISCENTS project word cloud

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

herbivores    diseases    nitriles    treatments    combine    right    genes    create    pathogens    cassettes    engineer    roots    place    ing    optimize    wish    genetically    plant    astonishingly    nano    sensor    breath    pest    pathogen    generate    manipulating    plants    mechanical    blends    farmers    device    readily    statistical    permit    human    herbivore    protection    adapt    p450    detect    distinguishable    contributed    odour    decipher    knowhow    detection    breakthroughs    cancer    maize    poplar    claim    models    complete    aldoximes    promoters    envisioned    vocabulary    root    simultaneous    attackers    odorous    analytical    inducible    volatiles    time    infestations    signal    model    packages    attack    release    prototype    blend    discovery    inventory    mixtures    successfully    manipulate    techniques    prints    initially    cyp    sensors    chemical    combinations    specificity    interconnected    monitoring    crop    gene    herbivory    quantities    leaps    pests    volatile   

Project "AGRISCENTS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE DE NEUCHATEL 

Organization address
address: FAUBOURG DE L'HOPITAL 41
city: NEUCHATEL
postcode: 2000
website: www.unine.ch

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 Switzerland [CH]
 Total cost 2˙498˙086 €
 EC max contribution 2˙498˙086 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-ADG
 Funding Scheme ERC-ADG
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2023-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DE NEUCHATEL CH (NEUCHATEL) coordinator 2˙498˙086.00

Map

 Project objective

Plants typically release large quantities of volatiles in response to attack by herbivores or pathogens. I may claim to have contributed to various breakthroughs in this research field, including the discovery that the volatile blends induced by different attackers are astonishingly specific, resulting in characteristic, readily distinguishable odour blends. Using maize as our model plant, I wish to take several leaps forward in our understanding of this signal specificity and use this knowledge to develop sensors for the real-time detection of crop pests and diseases. For this, three interconnected work-packages will aim to:

• Develop chemical analytical techniques and statistical models to decipher the odorous vocabulary of plants, and to create a complete inventory of “odour-prints” for a wide range of herbivore-plant and pathogen-plant combinations, including simultaneous infestations. • Develop and optimize nano-mechanical sensors for the detection of specific plant volatile mixtures. For this, we will initially adapt a prototype sensor that has been successfully developed for the detection of cancer-related volatiles in human breath. • Genetically manipulate maize plants to release a unique blend of root-produced volatiles upon herbivory. For this, we will engineer gene cassettes that combine recently identified P450 (CYP) genes from poplar with inducible, root-specific promoters from maize. This will result in maize plants that, in response to pest attack, release easy-to-detect aldoximes and nitriles from their roots.

In short, by investigating and manipulating the specificity of inducible odour blends we will generate the necessary knowhow to develop a novel odour-detection device. The envisioned sensor technology will permit real-time monitoring of the pests and enable farmers to apply crop protection treatments at the right time and in the right place.

 Publications

year authors and title journal last update
List of publications.
2019 Peng-Jun Zhang, Jia-Ning Wei, Chan Zhao, Ya-Fen Zhang, Chuan-You Li, Shu-Sheng Liu, Marcel Dicke, Xiao-Ping Yu, Ted C. J. Turlings
Airborne host–plant manipulation by whiteflies via an inducible blend of plant volatiles
published pages: 7387-7396, ISSN: 0027-8424, DOI: 10.1073/pnas.1818599116
Proceedings of the National Academy of Sciences 116/15 2020-01-30

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