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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.

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

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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