Author

Elizabeth A. Mittell

University of EdinburghORCID 0000-0002-5801-614XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adam Eyre‐WalkeriD· 1 shared Bjarni Kristófer KristjánssoniD· 1 shared Camille A.-L. LeblanciD· 1 shared Erik PostmaiD· 1 shared Euan A. YoungiD· 1 shared Jarrod D. HadfieldiD· 1 shared Katie AbsoniD· 1 shared Katja RäsäneniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEvolutionary Biology

Adam Eyre‐WalkerORCID

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2 papers

Recent·Most cited

Nucleotide diversity is a poor predictor of short-term adaptive potential

Katie Abson, Lillith C. Zijmers, Elizabeth A. Mittell, Euan A. Young, Erik Postma, Adam Eyre‐Walker, Jarrod D. Hadfield

This paper shows that molecular genetic diversity poorly predicts adaptive potential, using evolvability as a measure of heritable variation across species.

Proceedings of the National Academy of Sciences · Jun 29, 2026Peer-reviewedEvolutionary Biology

Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus)

Elizabeth A. Mittell, Camille A.-L. Leblanc, Bjarni Kristófer Kristjánsson, Moira M. Ferguson, Katja Räsänen, Michael B. Morrissey

The paper uses a Bayesian state-space model to analyze spatiotemporal variation in growth rates of Arctic charr, finding weak associations with water temperature and independence from size.

Royal Society Open Science · Jan 1, 2025Peer-reviewedEcology