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StressNetAdapt SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

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.
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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

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