Project Description
Supervisors
Professor David S Richardson, School of Biological Sciences, University of East Anglia
Professor Cock Van Oosterhout, School of Environmental Sciences, University of East Anglia
Professor Hannah Dugdale, Groningen Institute for Evolutionary Life Sciences, University of Groningen
Scientific Background
Genetic variation within populations is essential to their ability to adapt and survive, but most mutations that change function are deleterious. We can now estimate the effect of each mutation in a genome based on biomolecular properties. Such mutation-effect scores are increasingly used to understand individual and population health in the real world. However, how these scores translate into fitness (survival/reproductive success) under natural conditions has not been tested. Furthermore, our understanding of how conservation actions (e.g. translocations) affect the distribution, and thus impact, of such mutations within endangered populations is limited. Addressing these knowledge gaps is important for realising the potential of genomic data in evolutionary ecology and conservation.
The long-term study of Seychelles warblers Acrocephalus sechellensis, on Cousin Island provides an excellent system for this PhD. Our database contains data on survival and reproductive success, combined with whole-genome sequences, from 1922 individuals. We also have samples from all four populations established from Cousin by translocation.
Research Methodology
You can undertake fieldwork (optional) to collect samples and extend the fitness database, molecular work to sequence additional genomes, and bioinformatics to define mutation-effect scores, thus generating an exceptionally powerful database.
The following novel objectives can then be tackled, with components being developed and prioritised according to your interests:
1) Test the relationship between mutation-scores and individual fitness, including determining the added value (beyond metrics of inbreeding) of such scores in predicting fitness
2) Quantify drift load (the reduction in fitness caused by deleterious mutations that have become fixed by drift) in the original and translocated populations.
3) Use Population Viability Analyses to investigate how mutation-scores can inform assisted gene flow to reduce deleterious mutation effects and improve population viability.
Training
At UEA you will join a thriving, friendly group, supported by a vibrant ARIES cohort, work with international collaborators (Netherlands, Seychelles), and within an exceptionally strong evolution/ecology/conservation research community. You will gain diverse research skills in fieldwork (ability-dependent), sequencing, bioinformatics, analysis, concepts, scientific writing and public communication. Training to increase transferable skills and employability will also be provided.
Person Specification
- Understanding of evolutionary or conservation genetics/genomics
- Experience in bioinformatics/coding preferred
- Fieldwork skills (optional)
Acceptable first degree subjects: Biology/Ecology degree (or related), including genetics, genomics, evolution, and/or conservation, and with data handling training.
Project code: RICHARDSON_UEA_ARIES26