Molecular mechanisms and consequences of thermal stress rippling through changing aquatic environments
This project investigates the effects of heat stress on early life stages of aquatic ectotherms, focusing on its propagation, mutagenic potential, and genomic responses to enhance understanding of evolutionary adaptation to climate change.
Projectdetails
Introduction
Heat stress is a driver of current mass mortalities related to anthropogenic global warming. However, current approaches to study heat stress have not considered three major but little-known aspects.
Key Aspects of Heat Stress
These aspects are:
- The ripple effect, which could amplify negative outcomes through propagating heat stress among organisms.
- Heat stress as an evolutionary mutagen.
- Genomic networks as filters for prezygotic selection, which together could speed up the process of evolutionary adaptation to rapidly changing environments.
Project Overview
In this project, these properties of heat stress will be studied in vulnerable early life stages of three distinct aquatic ectotherms (a ragworm, a fish, and a frog) to achieve an understanding of how universal these aspects of heat stress are among distinct, unrelated species.
Methodology
First, this project will explore whether thermal stress can be propagated by means of chemical communication (stress metabolites) to naive receivers of different species. Outcomes on development will be compared with differential gene expression.
We will then identify heat-induced stress metabolites and their molecular pathways of action through:
- RNA sequencing
- Metabolomics
- CRISPR-mediated gene editing
Next, we will test whether thermal stress and stress metabolites exposure induce higher mutation rates through:
- Heat-induced transposon activity
- Reduced DNA repair capacity
gDNA sequencing will be combined with optical genome mapping to identify mutation rates and new structural variants.
Functional Genomic Network Analysis
Lastly, we will identify the role of functional genomic network constraint in filtering such variants. We will sequence a reference genome and explore through AI-led simulations whether networks with topological node constraints outperform those without constraint.
Conclusion
Together, these objectives will transform our understanding of the mechanisms and the extent to which organisms will respond to anthropogenic warming.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.845 |
Totale projectbegroting | € 1.999.845 |
Tijdlijn
Startdatum | 1-3-2023 |
Einddatum | 29-2-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLINpenvoerder
Land(en)
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