tremendously across animals, making the animal kingdom an ideal system for studying the genetic basis of metabolic rate control.
In this project, we will leverage natural variation in metabolic rates across mammals and birds to identify key genetic elements driving these differences. In our group, we use comparative genomics combined with experimental validation to uncover the genetic basis of phenotypes [1-4]. We will apply state-of-the-art evolutionary rate-based methods as well as newly developed machine-learning-based approaches to link changes in DNA to shifts in phenotype evolution. This project aims to build the first large-scale, comparative genomic map of genes and regulatory elements involved in metabolic rate control across true endotherms.
Candidate background
This project is aimed at highly motivated candidates with a strong interest in evolution and genomics, and a willingness to engage with large-scale genomic and transcriptomic data analysis. Prior experience in computational biology, evolution, or genomics is a plus, though not required, as training will be provided. There will be a lot of flexibility in the direction of the project development. Depending on the candidate's interests and strengths, the work can remain primarily computational or extend into lab-based validation of key candidates.
Lab-specific question
Looking at the research undertaken in our lab, what aspect would you be most interested in exploring further? Drawing on your own research experience, what perspective, skill or approach would you bring to investigating it?
Funding Notes
Successful applicants will be awarded a non-taxable annual stipend of £27,715 plus payment of university tuition fees. Students of all nationalities are eligible to apply.
References
- Osipova, E., Ko, M.C., Petricek, K.M., Sin, S.Y.W., Brown, T., Winkler, S., . . . Sackton, T.B. (2026) Convergent and lineage-specific genomic changes shape adaptations in sugar-consuming birds. Science 391: eadt1522. PubMed abstract
- Osipova, E., Balakrishnan, C.N., Spottiswoode, C.N., Lund, J., DaCosta, J.M., Hauber, M.E., . . . Sackton, T.B. (2026) Comparative population genomics reveals convergent adaptation across independent origins of avian obligate brood parasitism. Nature Ecology & Evolution 10: 128–139. PubMed abstract
- Osipova, E., Barsacchi, R., Brown, T., Sadanandan, K., Gaede, A.H., Monte, A., . . . Hiller, M. (2023) Loss of a gluconeogenic muscle enzyme contributed to adaptive metabolic traits in hummingbirds. Science 379: 185–190. PubMed abstract
- Kirilenko, B.M., Munegowda, C., Osipova, E., Jebb, D., Sharma, V., Blumer, M., . . . Hiller, M. (2023) Integrating gene annotation with orthology inference at scale. Science 380: eabn3107. PubMed abstract
