Grant: Discovery Grants Program - Individual
University of New Brunswick
$59,000.00
The genomic architecture of adaptation with gene flow
EF 2024-25
Résumé
A central goal of modern evolutionary biology is to identify the genomic basis of adaptation and speciation. This will help us to understand how organisms have evolved in the past and how they might evolve in the future. The way that traits are encoded in the genome (their "genomic architecture") affects how they will evolve, as does the degree to which populations adapt to local environments and mix their genes with one another through mating and gene flow. To avoid losing important local adaptations in the face of gene flow, genomic architectures that "link" advantageous alleles together are thought to have evolved. We expect these types of architectures to be important in environments with high connectivity, such as the ocean. They might play an important role in adaptation to rapidly changing environmental conditions (e.g. harvesting, management actions, climate change) and they might play an important role in helping maintain species boundaries at sea. The proposed research program does not currently involve Indigenous communities or individuals.
This project investigates the genomic architecture underlying adaptation in Atlantic cod, a highly ecologically, socio-economically, and culturally important species. Atlantic cod are widely distributed throughout the North Atlantic, where they show adaptations to local environments on remarkably small scales. The discovery of large chromosomal inversions in Atlantic cod, which might link advantageous alleles together in an "supergene", raises the question of what these variants do. We will conduct experiments to test for the effects of temperature, salinity, and food availability on the growth, survival, and gene expression of cod with different supergene types. We will also see if these potential supergenes produce a reproductive barrier between closely related cod ecotypes through a controlled experiment in a large artificial pond over several generations. Finally, we will use all available information about cod genetics and environmental responses to forecast how cod will respond to different harvesting, management, and climate change scenarios.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2024-06892
Name nom
Oomen, Rebekah
Department département
Department of Biological Sciences
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
59000
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
203
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Commercial fisheries
Area of application fr
Pêche commerciale
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 genomic architecture of adaptation with gene flow
Keywords
evolutionary genomics; transcriptomics; structural genomic variation; common garden experiments; quantitative genetics; reproductive isolation; gene flow; predictive modelling; eco-evolutionary dynamics; atlantic cod
Application summary
A central goal of modern evolutionary biology is to identify the genomic basis of adaptation and speciation. This will help us to understand how organisms have evolved in the past and how they might evolve in the future. The way that traits are encoded in the genome (their "genomic architecture") affects how they will evolve, as does the degree to which populations adapt to local environments and mix their genes with one another through mating and gene flow. To avoid losing important local adaptations in the face of gene flow, genomic architectures that "link" advantageous alleles together are thought to have evolved. We expect these types of architectures to be important in environments with high connectivity, such as the ocean. They might play an important role in adaptation to rapidly changing environmental conditions (e.g. harvesting, management actions, climate change) and they might play an important role in helping maintain species boundaries at sea. The proposed research program does not currently involve Indigenous communities or individuals.
This project investigates the genomic architecture underlying adaptation in Atlantic cod, a highly ecologically, socio-economically, and culturally important species. Atlantic cod are widely distributed throughout the North Atlantic, where they show adaptations to local environments on remarkably small scales. The discovery of large chromosomal inversions in Atlantic cod, which might link advantageous alleles together in an "supergene", raises the question of what these variants do. We will conduct experiments to test for the effects of temperature, salinity, and food availability on the growth, survival, and gene expression of cod with different supergene types. We will also see if these potential supergenes produce a reproductive barrier between closely related cod ecotypes through a controlled experiment in a large artificial pond over several generations. Finally, we will use all available information about cod genetics and environmental responses to forecast how cod will respond to different harvesting, management, and climate change scenarios.