Grant: Discovery Grants Program - Individual
Université du Québec à Trois-Rivières
$44,000.00
The building of the genetic load in natural populations: a study of the dynamics between environmental changes, genomic selection, and life history
EF 2024-25
Résumé
Rapid biological evolution can alter ecological processes such as demography or predator-prey dynamics. Ecology and evolution can thereby influence each other at timescales as short as a few generations. The idea that evolution by natural selection could be a regular contributor to the contemporary dynamics of living systems has implications that are far reaching, not only for our comprehension of evolutionary processes, but potentially for issues like the biodiversity crisis or the bioecology of human societies. The transition to modernity has produced perhaps the fastest modification ever of the Earth's conditions, coined the "Anthropocene era". The proposed programme aims to study how, in this context, natural selection and demography have interacted to modulate genomes and the mutation load at the scale of a whole (human) population across multiple generations. I will use the FrenchCanadian population from Québec as a model to address these evolutionary questions
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2023-05842
Name nom
Milot, Emmanuel
Department département
Chimie, biochimie et physique - Chimie, biochimie et physique
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
44000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1503
Committee name en
Evolution and Ecology
Committee name fr
Évolution et écologie
Area of application code
407
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Conservation and preservation
Area of application fr
Conservation et préservation
Research subject code
4700
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Evolution and ecology
Research subject fr
Évolution et écologie
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
The building of the genetic load in natural populations: a study of the dynamics between environmental changes, genomic selection, and life history
Keywords
natural selection; evolutionary genomics; evolutionary demography; genotype-by-environment interactions; genetic load; quantitative genetics; microevolution; homo sapiens model; transition to modernity; anthropocene
Application summary
Rapid biological evolution can alter ecological processes such as demography or predator-prey dynamics. Ecology and evolution can thereby influence each other at timescales as short as a few generations. The idea that evolution by natural selection could be a regular contributor to the contemporary dynamics of living systems has implications that are far reaching, not only for our comprehension of evolutionary processes, but potentially for issues like the biodiversity crisis or the bioecology of human societies. The transition to modernity has produced perhaps the fastest modification ever of the Earth's conditions, coined the "Anthropocene era". The proposed programme aims to study how, in this context, natural selection and demography have interacted to modulate genomes and the mutation load at the scale of a whole (human) population across multiple generations. I will use the FrenchCanadian population from Québec as a model to address these evolutionary questions