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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.

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

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

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 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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