Opendata, web and dolomites

StressNetAdapt SIGNED

Understanding evolutionary abiotic stress-network plasticity as foundation for new biotechnological strategies

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 StressNetAdapt project word cloud

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

napus    conceptual    capacity    changed    crop    opportunity    crops    threaten    dynamic    brassicaceae    critical    halleri    population    tolerant    ranked    feed    salsugineum    adapt    biotechnologically    signalling    tested    map    exploited    abiotic    constitutes    relatives    environmental    plant    world    reference    understand    stress    plants    candidates    assembled    integration    combination    biomass    biotechnological    network    differential    modified    alignment    first    transferred    analysed    genetically    informed    commercially    whereas    respect    alignability    list    tolerance    performance    interacting    lyrata    close    criteria    experimentally    ing    species    regulators    deal    society    brassica    salt    validated    stresses    evolutionary    direct    graph    closely    proteins    physically    mediated    altering    rewired    networks    literature    functionally    climate    mapping    arabidopsis    pipeline    glycophyte    interaction    theoretical    candidate    thaliana    data    drought    interactome    statistical    sensitive    biological    biology    events   

Project "StressNetAdapt" data sheet

The following table provides information about the project.

Coordinator
HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH 

Organization address
address: INGOLSTADTER LANDSTRASSE 1
city: NEUHERBERG
postcode: 85764
website: www.helmholtz-muenchen.de

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 Germany [DE]
 Project website https://www.helmholtz-muenchen.de/en/inet
 Total cost 1˙996˙750 €
 EC max contribution 1˙996˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-CoG
 Funding Scheme ERC-COG
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH DE (NEUHERBERG) coordinator 1˙437˙046.00
2    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 559˙703.00

Map

 Project objective

Abiotic stresses, such as drought or salt stress, affect plant growth and threaten the capacity to feed a growing world population. Understanding and altering how plants deal with stress will be critical for society’s adaptation to a changed climate. I propose a novel systems-biology based approach to identify biotechnological targets based on comparison of interaction and signalling networks of evolutionary related species that show differential abiotic stress tolerance. Similar to most crops, Arabidopsis thaliana is an abiotic-stress sensitive glycophyte whereas several close relatives are stress tolerant. This constitutes an opportunity to understand how plant stress-signalling networks are modified by evolutionary processes to adapt to novel environmental conditions. Biological processes are mediated by physically and functionally interacting proteins. Especially stress response networks are rewired when plants adapt to new environmental conditions. I aim to experimentally map the abiotic stress networks of four closely related brassicaceae: A. thaliana, A. lyrata, A. halleri and E. salsugineum. Novel conceptual advances in interactome mapping and a state-of-the art interactome mapping pipeline will be exploited to ensure direct alignability of the resulting reference networks. In addition the dynamic signalling events under drought stress will be analysed. Using a combination of network alignment, graph theoretical and statistical analyses, data integration, and literature-informed criteria a ranked candidate list of stress response regulators will be assembled. These will be genetically and biotechnologically validated. First level candidates will be tested in Arabidopsis thaliana and evaluated with respect to stress tolerance and overall biomass production. The most promising targets will then be transferred to Brassica napus to evaluate the performance in a commercially relevant crop.

 Publications

year authors and title journal last update
List of publications.
2016 Junshi Yazaki, Mary Galli, Alice Y. Kim, Kazumasa Nito, Fernando Aleman, Katherine N. Chang, Anne-Ruxandra Carvunis, Rosa Quan, Hien Nguyen, Liang Song, José M. Alvarez, Shao-shan Carol Huang, Huaming Chen, Niroshan Ramachandran, Stefan Altmann, Rodrigo A. Gutiérrez, David E. Hill, Julian I. Schroeder, Joanne Chory, Joshua LaBaer, Marc Vidal, Pascal Braun, Joseph R. Ecker
Mapping transcription factor interactome networks using HaloTag protein arrays
published pages: E4238-E4247, ISSN: 0027-8424, DOI: 10.1073/pnas.1603229113
Proceedings of the National Academy of Sciences 113/29 2019-06-06

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "STRESSNETADAPT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "STRESSNETADAPT" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

ERC VP CSA (2018)

Support to the Vice-Presidents of the ERC Scientific Council 2018

Read More  

AST (2019)

Automatic System Testing

Read More  

QLite (2019)

Quantum Light Enterprise

Read More