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.

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

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.)

KineTic (2020)

New Reagents for Quantifying the Routing and Kinetics of T-cell Activation

Read More  

INSPIRE (2019)

System-wide discovery and analysis of inositol pyrophosphate signaling networks in plants

Read More  

CARBYNE (2020)

New carbon reactivity rules for molecular editing

Read More