Kathryn Elmer

Professor

University of Glasgow
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United Kingdom

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Kathryn Elmer is a Professor at the University of Glasgow, UK. Her research areas encompass evolutionary biology, aquatic ecology, and genetic mechanisms underlying reproduction and morphology in various species. Recent articles authored by her include studies on brain development in brown trout and the genomic basis of phenotypic diversity in lizards.

Articles (23)

Evolutionary relationships between metabolism and behaviour require genetic correlations

As selection acts on multivariate phenotypes, the evolution of traits within populations not only depends on the genetic basis of each trait, but also on the genetic relationships among traits. As metabolic rate is often related to vital traits such as growth, physiology and behaviour, its variation and evolution is expected to have important repercussions on individual fitness. However, the majority of the correlations between metabolic rate and other traits has been based on phenotypic correlations, while genetic correlations, basis for indirect selection and evolution, have been overlooked. Using a case study, we explore the importance of properly estimating genetic correlations to understand and predict evolution of multivariate phenotypes. We show that selection on metabolic traits could result in indirect selection mainly on growth-related traits, owing to strong genetic correlations, but not on swimming or risk-taking and sociability behaviour even if they covary phenotypically. While phenotypic correlation can inform about genetic correlation direction, caution is needed in predicting the magnitude of genetic correlation. Therefore, even though phenotypic correlations among physiological and behavioural traits could be useful, deriving evolutionary conclusions based purely on them is not robust. In short, proper estimation of genetic correlations is needed when predicting evolutionary consequences. This article is part of the theme issue ‘The evolutionary significance of variation in metabolic rates’.

Year:

2024

Collaborators (9)

Nicholas Kamenos

Professor of Marine Ecosystem Science

Umea University

SWEDEN

Shaun S. Killen

-

UNITED KINGDOM

Colin E. Adams

-

UNITED KINGDOM

Josef Wanzenböck

University of Innsbruck

AUSTRIA

Richard Reeve

Professor of Population and Ecosystem Health

University of Glasgow

UNITED KINGDOM

Jan Lindström

University of Glasgow

UNITED KINGDOM

Mark McLaughlin

Senior Lecturer

University of Glasgow

UNITED KINGDOM

Colin Bean

Professor

University of Glasgow

UNITED KINGDOM

Kim Praebel

Professor/Group Leader Genetics

UiT The Arctic University of Norway

NORWAY
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