Dr Michael Morrissey

Research Fellow

Dyers Brae 20
tel. 01334 463738

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.



de Villemereuil, P, Morrissey, MB, Nakagawa, S & Schielzeth, H 2018, 'Fixed-effect variance and the estimation of repeatabilities and heritabilities: issues and solutions' Journal of Evolutionary Biology, vol Early View. DOI: 10.1111/jeb.13232
Hunter, DC, Pemberton, J, Pilkington, J & Morrissey, MB 2018, 'Quantification and decomposition of environment-selection relationships' Evolution, vol In press. DOI: 10.1111/evo.13461
Barbosa, M, Deacon, AE, Janeiro Silva, MJ, Ramnarine, I, Morrissey, MB & Magurran, AE 2018, 'Individual variation in reproductive behaviour is linked to temporal heterogeneity in predation risk' Proceedings of the Royal Society B: Biological Sciences, vol 285, no. 1870, 20171499. DOI: 10.1098/rspb.2017.1499
Wiberg, RAW, Gaggiotti, OE, Morrissey, MB & Ritchie, MG 2017, 'Identifying consistent allele frequency differences in studies of stratified populations' Methods in Ecology and Evolution, vol 8, no. 12, pp. 1899-1909. DOI: 10.1111/2041-210X.12810
Franklin, OD & Morrissey, MB 2017, 'Inference of selection gradients using performance measures as fitness proxies' Methods in Ecology and Evolution, vol 8, no. 6, pp. 663-677. DOI: 10.1111/2041-210X.12737
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