Modelling the Complexity of Ageing in a Simple Genetic System

Projektinformationen

ELDERLYEAST

ID Finanzhilfevereinbarung: 322035

Abgeschlossenes Projekt

Startdatum 1 Oktober 2012

Enddatum 30 September 2016

Finanziert unter

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Gesamtkosten € 100 000,00

EU-Beitrag € 100 000,00

Koordiniert durch

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France

Ziel

Ageing is the highest risk factor for a large number of diseases and yet surprisingly little is known about the underlying molecular mechanisms. Ageing is a classical complex trait affected by both the genetic background and the environment, and varies quantitatively among individuals. Identifying the causal genetic variants underlying variation in longevity is a major challenge. I propose to use the budding yeast, Saccharomyces cerevisiae, to identify quantitative trait loci (QTLs) contributing to natural variation in replicative life span, telomerase negative cellular senescence and chronological life span in a vast array of environmental conditions. Many of these longevity pathways are conserved from yeast to higher eukaryotes making S. cerevisiae an attractive model system for ageing.
Recently, I developed groundbreaking approaches in population genomics and complex traits that open the door to next generation QTL mapping in yeast. I propose to combine my unique high resolution QTL mapping with an artificial multiparent population that broadly captures the genetic and phenotypic species diversity. This population will contain all the ideal features for QTL mapping and will resemble samples used in human genome-wide association studies. The outcomes of this research will help to resolve some long standing questions including what types of alleles are responsible for natural variation in ageing; how do the alleles interact among themselves and with the environment; and how they vary and are distributed across natural populations. Once the broad structure of longevity traits has been dissected, we will extrapolate this knowledge to make predictions and to understand what evolutionary forces maintain the variability in natural populations. Revealing how these elusive natural genetic variants affect longevity will deepen on our knowledge of the cellular mechanisms that drive ageing, offering new possibilities to promote health span in humans and livestock.

Wissenschaftliches Gebiet

• natural sciences › biological sciences › genetics
• natural sciences › biological sciences › evolutionary biology
• agricultural sciences › animal and dairy science › domestic animals › animal husbandry

Programm/Programme

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Thema/Themen

• FP7-PEOPLE-2012-CIG - Marie-Curie Action: "Career Integration Grants"

Aufforderung zur Vorschlagseinreichung

FP7-PEOPLE-2012-CIG
Andere Projekte für diesen Aufruf anzeigen

Finanzierungsplan

MC-CIG - Support for training and career development of researcher (CIG)

Koordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

Kontakt Verwaltung

Sophie Deschaintres (Ms.)

• EU-Beitrag: € 100 000,00
• Adresse: RUE MICHEL ANGE 3 ; 75794 Paris ; Frankreich
• Region: Ile-de-France › Ile-de-France › Paris
• Aktivitätstyp: Research Organisations
• Gesamtkosten: Keine Daten