Dr Michael Morrissey

Research Fellow

Dyers Brae 20
tel. 01334 463738
fax.
mbm5@st-andrews.ac.uk

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.

 

Publications

Janeiro, MJ, Coltman, DW, Festa-Bianchet, M, Pelletier, F & Morrissey, MB 2017, 'Towards robust evolutionary inference with integral projection models' Journal of Evolutionary Biology, vol 30, no. 2, pp. 270-288. DOI: 10.1111/jeb.13000
Franklin, O & Morrissey, MB 2016, 'Inference of selection gradients using performance measures as fitness proxies' Methods in Ecology and Evolution.
de Villemereuil, P, Schielzeth, H, Nakagawa, S & Morrissey, M 2016, 'General methods for evolutionary quantitative genetic inference from generalized mixed models' Genetics, vol 204, no. 1, pp. 1281-1294. DOI: 10.1101/026377, 10.1534/genetics.115.186536
Morrissey, MB 2016, 'Meta-analysis of magnitudes, differences and variation in evolutionary parameters' Journal of Evolutionary Biology, vol 29, no. 10, pp. 1882-1904. DOI: 10.1111/jeb.12950
Poissant, J, Morrissey, MB, Gosler, A, Slate, J & Sheldon, B 2016, 'Multivariate selection and intersexual genetic constraints in a wild bird population' Journal of Evolutionary Biology, vol 29, no. 10, pp. 2022-2035. DOI: 10.1111/jeb.12925
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