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Microbial-light SIGNED

Illuminating black boxes in the nitrogen cycle

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 Microbial-light project word cloud

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

populations    collected    light    parametric    communities    plant    stresses    resilience    combining    illumina    acquisition    farming    evolution    nitrification    with    microtiter    validating    sequencing    population    nitrifiers    natural    disturbance    mixed    experimental    gradients    combinatorial    disturbances    actors    poor    exist    created    sought    coupled    larger    community    entities    cytometry    microorganisms    maintaining    evaluation    monitoring    environmental    tomato    fish    tested    world    engage    efficiency    cycle    bsocial    strain    tracking    thereby    uncoated    nitrogen    social    illuminate    ample    model    box    additionally    sustainability    ecosystem    physicochemical    interactions    function    parallel    coated    soils    landscapes    predicting    functional    individual    nitrifying    determined    diverse    models    optimal    ecosystems    tool    database    synthetic    black    ecological    climate    flow    ignored    prediction    seeds    elucidation    leads    data    microbial    isolated    diversity    utmost   

Project "Microbial-light" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD DE GRANADA 

Organization address
address: CUESTA DEL HOSPICIO SN
city: GRANADA
postcode: 18071
website: www.ugr.es

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 Spain [ES]
 Total cost 172˙932 €
 EC max contribution 172˙932 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-CAR
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2021-07-21

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD DE GRANADA ES (GRANADA) coordinator 172˙932.00

Map

 Project objective

With an increasing world population growth, prediction of climate change on the sustainability and resilience of farming ecosystems is key. Since the nitrogen cycle's role within the farming ecosystem is of utmost importance, and an environmental disturbance leads to farming production loss, understanding the cycle's resilience is crucial. The main actors within this cycle are microorganisms, yet these are ignored when predicting ecological effects to climate change (black box models). Microorganisms do not exist as isolated entities, but are mixed in high numbers, maintaining a diverse number of social interactions created through adaptation and evolution. Microbial-Light will illuminate black box models via the acquisition of a multi-parametric database. Physicochemical disturbances will be applied to a large combinatorial number of mixed microbial populations of well studied nitrifiers. Microbial growth monitoring at microtiter scale will include strain tracking (FISH-flow cytometry), while function (i.e. nitrification) will be determined at a larger scale. The ample data collected will enable elucidation of functional landscapes for each synthetic community under combining environmental stresses. Additionally, the role of microbial interactions (BSocial tool) across disturbance gradients will be sought. Microbial-Light, will engage in modelling individual growth from synthetic mixed population growth, thereby validating the models with previous experimental evidence. Moreover, the optimal social nitrifying community will be coated on tomato seeds, and plant growth efficiency will be compared with uncoated seeds. Parallel to the acquisition multi-parametric database, evaluation of the nitrification potential of poor and rich soils will be tested coupled with microbial diversity (Illumina sequencing). The analysis of synthetic and natural communities, will allow for a more comprehensive ecological model on nitrification.

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The information about "MICROBIAL-LIGHT" are provided by the European Opendata Portal: CORDIS opendata.

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