EVO_FLORE

Evolution of floral size control in the genus Capsella

 Coordinatore UNIVERSITAET POTSDAM 

 Organization address address: AM NEUEN PALAIS 10
city: POTSDAM
postcode: 14469

contact info
Titolo: Dr.
Nome: Regina
Cognome: Gerber
Email: send email
Telefono: +49 331 9771080
Fax: +49 331 9771298

 Nazionalità Coordinatore Germany [DE]
 Totale costo 170˙733 €
 EC contributo 170˙733 €
 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-IEF-2008
 Funding Scheme MC-IEF
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-10-01   -   2011-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAET POTSDAM

 Organization address address: AM NEUEN PALAIS 10
city: POTSDAM
postcode: 14469

contact info
Titolo: Dr.
Nome: Regina
Cognome: Gerber
Email: send email
Telefono: +49 331 9771080
Fax: +49 331 9771298

DE (POTSDAM) coordinator 170˙733.61
2    JOHN INNES CENTRE

 Organization address address: "Norwich Research Park, Colney"
city: NORWICH
postcode: NR4 7UH

contact info
Titolo: Dr.
Nome: Mary
Cognome: Anderson
Email: send email
Telefono: -451803
Fax: -452446

UK (NORWICH) participant 0.00

Mappa


 Word cloud

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

size    morphology    genus    capsella    pollinators    genetic    underlying    trend    species    evolution    mechanisms    selfing    flower    qtl    flowers    floral    molecular    evolutionary    biology   

 Obiettivo del progetto (Objective)

'A fascinating challenge in biology is to understand how the evolution of molecular mechanisms leads to phenotypic variation. In plants, the morphology of flowers is subject to strong selective pressures, given their central role for reproduction. A common trend of flower evolution is the reduction of floral display following the transition from out-breeding via animal pollinators to selfing. This reduction of flower size is commonly assumed to reflect a conflict between pollination efficiency and energy cost; for a selfing species, pollinators become dispensable, and the presumed energetic cost to build large flowers for pollinator attraction would have losts its adaptive value. The genus Capsella is a genetically amenable model to dissect the genetic basis of this major trend in flower evolution. The selfing species C. rubella, with its dramatically reduced flowers, evolved from C. grandiflora, an outbreeding species with large flowers. The Lenhard group has identified and mendelized quantitative trait loci (QTL) underlying the change in flower size in the genus Capsella. This project proposes to use three complementary approaches to better understand evolutionary changes in flower morphology in relation to changes in the mating system. (1) A positional cloning approach will be used to identify the causal gene underlying the major flower size QTL. (2) Comparative QTL mapping and population genetic analyses will be employed to reconstitute the history of floral evolution in Capsella. (3) Isogenic lines differing only in flower size will be generated to rigorously determine the fitness value of flower size in a selfing species. This project will provide important novel insight into the genetic mechanisms and the forces driving evolutionary changes in morphology; at the same time, it will offer a highly relevant multidisciplinary training at the overlap of molecular biology and evolutionary genetics, which will be an increasingly sought-after combination.'

Altri progetti dello stesso programma (FP7-PEOPLE)

GENCHLADEATH (2014)

Bacterial host cell death modulators – a genetic approach to identify anti-apoptotic factors of Chlamydia trachomatis and to explore their role during infection

Read More  

WATERULTRAFILTRATION (2013)

Novel approaches for enhancing the treatment of drinking water by ultrafiltration and evaluating the mechanisms at nano-scale

Read More  

GALCLU _ASTRO_COSMO (2015)

A multi-wavelength approach to investigate biases affecting galaxy clusters mass

Read More