CLIMATE_ADAPTATION

Genetic adaptations to climate in Arabidopsis thaliana

Coordinatore	UNIVERSITAT WIEN    more  Organization address address: UNIVERSITATSRING 1 city: WIEN postcode: 1010 contact info Nome: Andrea Cognome: Stowers Email: send email Telefono: +43 1 4277 18226
Nazionalità Coordinatore	Austria [AT]
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	2012
Periodo (anno-mese-giorno)	2012-05-01   -   2016-04-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITAT WIEN  Organization address address: UNIVERSITATSRING 1 city: WIEN postcode: 1010 contact info Nome: Andrea Cognome: Stowers Email: send email Telefono: +43 1 4277 18226	AT (WIEN)	coordinator	45˙833.33
2	Nome Ente NON disponibile  Organization address address: DR BOHR GASSE 3 city: WIEN postcode: 1030 contact info Titolo: Dr. Nome: Markus Cognome: Kiess Email: send email Telefono: +43 1 79044 9412 Fax: +43 1 79044 9002	AT (WIEN)	participant	54˙166.67

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 Obiettivo del progetto (Objective)

'A major goal of evolutionary biology is to understand the phenotypic and genetic bases of adaptation to the environment. Since plants have limited mobility, aspects of climate play an especially important role in their survival and reproductive success. Some of the earliest evidence for this comes from phenotypic clines with the environment . The proposed research will identify the specific genetic variants – including previously not assayed rare single nucleotide polymorphisms and structural variants – that underlie adaptations to the environment in the model plant, Arabidopsis thaliana. These results will then be used as a starting point to examine the broader context of adaptation in the Arabidopsis gene interaction network as well as the specific evolutionary histories of a few of the most compelling candidates. This research brings together scientists working at two different institutes for work at the intersection of Mathematics and the Life Sciences, and it combines recently collected and emerging data sets with cutting-edge computational methods. The results will clarify how quantitative traits evolve in response to climate, a necessary first step for accurately predicting responses to future climate change, and will inform research to produce sustainable crop varieties.'