Dr Michael Morrissey:
Research Fellow

lab webpage: Evolutionary Quantitative Genetics

Evolutionary statistical quantitative genetics, or, analysis of longitudinal data from populations of unmanipulated animals

Some of the most valuable data for understanding how evolution works in natural populations is individual-based longitudinal data from pedigreed populations.  Longitudinal data on individuals provides possibilities to link aspects of phenotype to life histories and fitness.  Pedigree data allows inference of the genetic basis of variation in phenotypic traits, based on patterns of similarity of relatives.

With collaborators at the University of Edinburgh and elsewhere, a portion of my research revolves around the study of the selection and genetics of a range of traits in Soay sheep from St Kilda (pictured) and other long-term animal datasets from around the world.

Evolutionary genetic theory

I use analytical and computational approaches to understanding what patterns of genetic variation are expected in nature, and also of how to interpret observed patterns in microevolutionary parameters, including both aspects of genetics and selection.  I have an ongoing interest in the patterns of genetic variation that are generated by complex landscape arrangements, especially in dendritic systems, which characterize all freshwater landscapes.  I have recently been working on the interpretation of relationships between phenotypic traits and fitness mean in terms “chains of causation” in the context of characterizing the form of natural selection.

Software for empirical microevolutionary studies in nature

Analysis of data from natural populations is often very challenging.  Datasets are often incomplete due to practical realities such as limited molecular information to resolve pedigrees, and/or imperfect detection of individuals for recording of life history information.  I work on developing statistical tools to link fundamental evolutionary genetic theory to real data from the field.  R packages include pedantics, and gsg.


I am interested in how evolution works on generation-to-generation time scales. My work centres on phenotypic variation in natural populations. I investigate what the causes are of phenotypic variation, especially with respect to genetics, as the genetic variants underlying phenotypic differences among individuals are the raw material for evolutionary change. I am also interested in the consequences of phenotypic variation, especially with respect to fitness variation. When phenotypic variation causes fitness variation, natural selection occurs, which is the cause of adaptive evolution.

I apply cutting-edge statistical methodologies to study the selection and genetics of ecologically-important traits in natural populations. In addition to my primary focus on the empirical study of quantitative traits in natural populations, I do theoretical population genetic work, and sometimes focus on methodological development.

source: symbiosis

Recent Publications:

5 (of 51 /dk/atira/pure/researchoutput/status/published available) for mbm5 (source: University of St Andrews PURE)
Please click title of any item for full details

Animal personality adds complexity to the processes of divergence between sympatric morphs of Arctic charr Quentin J.-B. Horta-Lacueva, David Benhaïm, Michael Blair Morrissey, Sigurður S. Snorrason, Kalina H. Kapralova
Animal Behaviour 2021 vol. 175 pp. 57-73
Multivariate analysis of morphology, behaviour, growth and developmental timing in hybrids brings new insights into the divergence of sympatric Arctic charr morphs Quentin J.-B. Horta-Lacueva, Sigurður S. Snorrason, Michael Blair Morrissey, Camille A.-L. Leblanc, Kalina H. Kapralova
BMC Ecology and Evolution 2021 vol. 21
Re-identification of individuals from images using spot constellations Ignacy T. De¸bicki, Lizy Mittell, Bjarni K. Kristjánsson, Camille A. Leblanc, Michael Blair Morrissey, Kasim Terzic
Royal Society Open Science 2021 vol. 8
The distinction between repeatability and correlation in studies of animal behaviour Miguel Borges Da Costa Guint Barbosa, Michael Blair Morrissey
Animal Behaviour 2021 vol. 175 pp. 201-217
Fluctuating optimum and temporally variable selection on breeding date in birds and mammals P. de Villemereuil, A. Charmantier, D. Arlt, P. Bize, P. Brekke, L. Brouwer, A. Cockburn, S.D. Côté, F. Stephen Dobson, S.R. Evans, M. Festa-Bianchet, M. Gamelon, S. Hamel, J. Hegelbach, K. Jerstad, B. Kempenaers, L.E.B. Kruuk, J. Kumpula, T. Kvalnes, A.G. McAdam, S. Eryn McFarlane, Michael Blair Morrissey, T. Pärt, J.M. Pemberton, A. Qvarnström, O.W. Røstad, J. Schroeder, J.C. Senar, B.C. Sheldon, M. van de Pol, M.E. Visser, N.T. Wheelwright, J. Tufto, L.-M. Chevin
Proceedings of the National Academy of Sciences of the United States of America 2020 vol. 117 pp. 31969-31978