Article (Périodiques scientifiques)
Natural variation of chronological aging in the Saccharomyces cerevisiae species reveals diet-dependent mechanisms of life span control
JUNG, Paul; ZHANG, Zhi; PACZIA, Nicole et al.
2018In npj Aging and Mechanisms of Disease, 4 (3)
Peer reviewed vérifié par ORBi
 

Documents


Texte intégral
Jung_et_al-2018-npj_Aging_and_Mechanisms_of_Disease.pdf
Postprint Éditeur (1.24 MB)
Télécharger

Tous les documents dans ORBilu sont protégés par une licence d'utilisation.

Envoyer vers



Détails



Mots-clés :
yeast; aging; natural variation; RIM15; SER1; QTL
Résumé :
[en] Aging is a complex trait of broad scientific interest, especially because of its intrinsic link with common human diseases. Pioneering work on aging-related mechanisms has been made in Saccharomyces cerevisiae, mainly through the use of deletion collections isogenic to the S288c reference strain. In this study, using a recently published high-throughput approach, we quantified chronological life span (CLS) within a collection of 58 natural strains across seven different conditions. We observed a broad aging variability suggesting the implication of diverse genetic and environmental factors in chronological aging control. Two major Quantitative Trait Loci (QTLs) were identified within a biparental population obtained by crossing two natural isolates with contrasting aging behavior. Detection of these QTLs was dependent upon the nature and concentration of the carbon sources available for growth. In the first QTL, the RIM15 gene was identified as major regulator of aging under low glucose condition, lending further support to the importance of nutrient-sensing pathways in longevity control under calorie restriction. In the second QTL, we could show that the SER1 gene, encoding a conserved aminotransferase of the serine synthesis pathway not previously linked to aging, is causally associated with CLS regulation, especially under high glucose condition. These findings hint toward a new mechanism of life span control involving a trade-off between serine synthesis and aging, most likely through modulation of acetate and trehalose metabolism. More generally it shows that genetic linkage studies across natural strains represent a promising strategy to further unravel the molecular basis of aging.
Centre de recherche :
- Luxembourg Centre for Systems Biomedicine (LCSB): Enzymology & Metabolism (Linster Group)
- Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group)
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Génétique & processus génétiques
Biochimie, biophysique & biologie moléculaire
Auteur, co-auteur :
JUNG, Paul ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
ZHANG, Zhi ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
PACZIA, Nicole ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Jäger, Christian  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Ignac, Tomasz
MAY, Patrick  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
LINSTER, Carole  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Natural variation of chronological aging in the Saccharomyces cerevisiae species reveals diet-dependent mechanisms of life span control
Date de publication/diffusion :
12 mars 2018
Titre du périodique :
npj Aging and Mechanisms of Disease
eISSN :
2056-3973
Maison d'édition :
Nature Partner Journals, London, Royaume-Uni
Volume/Tome :
4
Fascicule/Saison :
3
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Systems Biomedicine
Projet FnR :
FNR11339953 - Completing The Metabolic Map Around The Oncometabolite D-2-hydroxyglutarate, 2016 (01/11/2016-31/03/2019) - Nicole Paczia
Organisme subsidiant :
FNR (INTER/BMBF/13/04), e:Med BMBF
FNR (MitoPD)
plan Technologies de la Santé
FNR (NCER-PD)
Disponible sur ORBilu :
depuis le 13 mars 2018

Statistiques


Nombre de vues
290 (dont 24 Unilu)
Nombre de téléchargements
126 (dont 4 Unilu)

citations Scopus®
 
23
citations Scopus®
sans auto-citations
22
OpenCitations
 
20
citations OpenAlex
 
30
citations WoS
 
20

Bibliographie


Publications similaires



Contacter ORBilu