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.

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

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  

CELPRED (2020)

Circuit elements of the cortical circuit for predictive processing

Read More  

PROTECHT (2020)

Providing RObust high TECHnology Tags based on linear carbon nanostructures

Read More