IONOMIC VARIATION

The Genetic Basis and Adaptive Significance of Natural Ionomic Variation

 Coordinatore THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN 

 Organization address address: KING'S COLLEGE REGENT WALK
city: ABERDEEN
postcode: AB24 3FX

contact info
Titolo: Dr.
Nome: Helena
Cognome: Rogers
Email: send email
Telefono: +44 1224 273682

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2011-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-09-01   -   2015-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN

 Organization address address: KING'S COLLEGE REGENT WALK
city: ABERDEEN
postcode: AB24 3FX

contact info
Titolo: Dr.
Nome: Helena
Cognome: Rogers
Email: send email
Telefono: +44 1224 273682

UK (ABERDEEN) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

loci    functions    population    plants    combination    variation    plant    gene    function    locally    genetic    uncover    health    polymorphic    mapping    natural    populations    model    significance    human    adaptive    drive    evolutionary    elemental    fixation   

 Obiettivo del progetto (Objective)

'Evolutionary forces are known to drive the fixation of locally adaptive genetic variation within populations, and plants provide an excellent model for investigations into its genetic origins, maintenance and adaptive significance. We aim to take advantage of the natural genetic variation that occurs between populations of the genetic model plant Arabidopsis thaliana to identify gene functions that vary between these natural populations. Such a set of polymorphic genes and gene functions will provide the essential tools required to uncover the genetic mechanisms that drive the fixation of locally adaptive genetic variation within a population. To link natural genetic variation to function, we have applied high-throughput Inductively Coupled Plasma – Mass Spectroscopy (ICP-MS) based elemental-profiling, in combination with genome-wide association mapping and traditional linkage mapping to reveal loci that drive natural variation in the plant's elemental-profile or “ionome” including P, Ca, K, Mg (macronutrients); Cu, Fe, Zn, Mn, Co, Ni, Se, Mo, I (micronutrients of significance to plant and human health); Na, As, and Cd (minerals causing agricultural or environmental problems). Using a combination of laboratory and field-based experiments we propose to uncover the adaptive benefit and evolutionary significance of these naturally occurring polymorphic ionomic loci, along with their molecular function, and underlying causal genetic and epigenetic basis. This information will help determine the evolutionary processes involved in adaptation of organisms to local environments. Such insights will help in predicting the extent and limits of possible future adaptations of plants to changes in the surface chemistry of the Earth driven by a changing global climate, and will have applications to optimizing the mineral content of food crops for improved human health. After all, plants provide the major source of nutrition for a large portion of the world’s population.'

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