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Grant: Discovery Grants Program - Individual

Université d'Ottawa

$33,000.00

Within-individual variation: plasticity, consistency, genotype-by-environment interaction and hidden genetic variance

EF 2023-24

Résumé
The long-term objective of my research program is to understand how natural population adapt and evolve in a changing environment. The theory of evolution by natural selection is surprisingly simple. It considers that individuals best adapted to their environment reproduce and survive better. Thus, as long as there is some variation among individuals and that part of this variation has a genetic basis, individuals with the most advantageous traits are selected leading to an evolution of the traits in the population. To understand evolution, we thus need to estimate the variation among-individual and decompose it into its genetic and non-genetic components. To date, part of the genetic variance, the micro-environmental variance has been poorly considered. However recent studies in domestic populations have highlighted its evolutionary importance indicating that when not considering it we can misidentify the shape and strength of selection leading to erroneous prediction of evolution. We now need to develop a better understanding of the micro-environmental variance on evolution. The short-term goals of this research program are to identify the importance of the genetic micro-environmental variance in natural populations, and to develop new evolutionary theory to understand its evolution and impact. With the help of collaborators, I will leverage the existence of large datasets from at least 4 of the best long-term studies in the wild, including yellow-bellied marmots in Colorado, bighorn sheep in the Canadian Rockies, red squirrels in the Yukon, and alpine swifts in Switzerland. Combining more than 165 years of field work with state-of-the-art analysis, we will be able to estimate the genetic micro-environmental variance across multiple traits and species in wild populations. Using such a wide variety of species will provide much stronger inferences as to the existence and importance of micro-environmental variance across species and traits, and provide insight into the effects of differing ecologies. In addition, using a simulation based approach, we will develop new theory to determine the importance of the micro-environmental variance for evolution. Further this research program will provide training opportunities for 18 HQP at the undergraduate, MSc and PhD levels over the next 5 years. Overall this project will provide key insights into evolutionary processes that have been mainly ignored to date. In the Anthropocene where human pressure on wildlife is ever increasing, conservation and wildlife management often depend on predictions of population size variation and evolutionary dynamics. Selective breeding and crop development for agriculture are also highly dependent on our understanding of evolutionary dynamics. In these contexts, by improving our understanding of ecological and evolutionary dynamics in natural populations, this research program will have important societal impacts both on conservation and food security.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2019-05000
Name nom
Martin, Julien
Department département
Department of Biology
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2019
Award amount
33000
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
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
4706
Research subject group en
Evolution and ecology
Research subject group fr
Evolutionary theory
Research subject en
Évolution et écologie
Research subject fr
Théorie de l'évolution
Application title
Within-individual variation: plasticity, consistency, genotype-by-environment interaction and hidden genetic variance
Keyword
evolutionary ecology; genotype-by-environment interaction; integrated phenotype; life-history; phenotypic plasticity; population dynamic; predictability; quantitative genetic; statistics; within-individual variance
Application summary
The long-term objective of my research program is to understand how natural population adapt and evolve in a changing environment. The theory of evolution by natural selection is surprisingly simple. It considers that individuals best adapted to their environment reproduce and survive better. Thus, as long as there is some variation among individuals and that part of this variation has a genetic basis, individuals with the most advantageous traits are selected leading to an evolution of the traits in the population. To understand evolution, we thus need to estimate the variation among-individual and decompose it into its genetic and non-genetic components. To date, part of the genetic variance, the micro-environmental variance has been poorly considered. However recent studies in domestic populations have highlighted its evolutionary importance indicating that when not considering it we can misidentify the shape and strength of selection leading to erroneous prediction of evolution. We now need to develop a better understanding of the micro-environmental variance on evolution. The short-term goals of this research program are to identify the importance of the genetic micro-environmental variance in natural populations, and to develop new evolutionary theory to understand its evolution and impact. With the help of collaborators, I will leverage the existence of large datasets from at least 4 of the best long-term studies in the wild, including yellow-bellied marmots in Colorado, bighorn sheep in the Canadian Rockies, red squirrels in the Yukon, and alpine swifts in Switzerland. Combining more than 165 years of field work with state-of-the-art analysis, we will be able to estimate the genetic micro-environmental variance across multiple traits and species in wild populations. Using such a wide variety of species will provide much stronger inferences as to the existence and importance of micro-environmental variance across species and traits, and provide insight into the effects of differing ecologies. In addition, using a simulation based approach, we will develop new theory to determine the importance of the micro-environmental variance for evolution. Further this research program will provide training opportunities for 18 HQP at the undergraduate, MSc and PhD levels over the next 5 years. Overall this project will provide key insights into evolutionary processes that have been mainly ignored to date. In the Anthropocene where human pressure on wildlife is ever increasing, conservation and wildlife management often depend on predictions of population size variation and evolutionary dynamics. Selective breeding and crop development for agriculture are also highly dependent on our understanding of evolutionary dynamics. In these contexts, by improving our understanding of ecological and evolutionary dynamics in natural populations, this research program will have important societal impacts both on conservation and food security.