Dr. Michael Matschiner

University of Zurich (Switzerland)







Professional Preparation


Postdoctoral fellow at the Zoological Institute, University of Basel, Switzerland. 2017-Present


Researcher at the Centre for Ecological and Evolutionary Synthesis, University of Oslo, Norway. 2013-2017


Postdoctoral fellow, Allan Wilson Centre, New Zealand. 2012-2013


Ph.D. University of Basel, Switzerland. 2008-2011


Diploma studies of Biological Sciences, University of Konstanz, Germany. 2002-2008




Selected Publications

Stange M, Sánchez-Villagra MR, Salzburger W, Matschiner M (2017) Bayesian divergence-time estimation with genome-wide SNP data of sea catfishes (Ariidae) supports Miocene closure of the Panamanian Isthmus. BioRxiv, Preprint, doi:10.1101/102129.

Runemark A, Trier C, Eroukhmanoff F, Hermansen J, Matschiner M, Ravinet M, Elgvin T, Sætre G-P (2017): Variation and constraint in hybrid genome formation. BioRxiv, Preprint, doi:10.1101/107508.

Toljagić O, Voje KL, Matschiner M, Liow LH, Hansen T (2017) Millions of years behind: slow adaptation of ruminants to grasslands. Systematic Biology.


Barth JMI, Damerau M, Matschiner M, Jentoft S, Hanel R (2017) Genomic differentiation and demographic histories of Atlantic and Indo-Pacific yellowfin tuna (Thunnus albacares) populations. Genome Biology and Evolution.


Meyer BS, Matschiner M, Salzburger W (2017) Disentangling incomplete lineage sorting and introgression to refine species-tree estimates for Lake Tanganyika cichlid fishes. Systematic Biology.


Matschiner M, Musilová Z, Barth JMI, Starostová Z, Salzburger W, Steel M, Bouckaert R (2017) Bayesian phylogenetic estimation of clade ages supports trans-Atlantic dispersal of cichlid fishes. Systematic Biology.


Malmstrøm M, Matschiner M, Tørresen OK, Jakobsen KS, Jentoft S (2017) Sequencing data and de novo draft assemblies for 66 teleost species. Scientific Data.


Gante H, Matschiner M, Malmstrøm M, Jakobsen KS, Jentoft S, Salzburger W (2016) Genomics of speciation and introgression in Princess cichlid fishes from Lake Tanganyika. Molecular Ecology.


Malmstrøm M, Matschiner M, Tørresen OK, Star B, Snipen LG, Hansen TF, Baalsrud HT, Nederbragt AJ, Hanel R, Salzburger W, Stenseth NC, Jakobsen KS, Jentoft S (2016) Evolution of the immune system influences speciation rates in teleost fishes. Nature Genetics.


Matschiner M (2016) Fitchi: haplotype genealogy graphs based on the Fitch algorithm. Bioinformatics.


Colombo M, Damerau M, Hanel R, Salzburger W, Matschiner M (2015) Diversity and disparity through time in the adaptive radiation of Antarctic notothenioid fishes. Journal of Evolutionary Biology.


Meyer M, Matschiner M, Salzburger W (2015) A tribal level phylogeny of Lake Tanganyika cichlid fishes based on a genomic multi-marker approach. Molecular Phylogenetics and Evolution.


Damerau M, Matschiner M, Salzburger W, Hanel R (2014) Population divergences despite long pelagic larval stages: lessons from crocodile icefishes (Channichthyidae). Molecular Ecology.


Barth JMI, Matschiner M, Robertson BC (2013) Phylogenetic position and subspecies divergence of the endangered New Zealand Dotterel (Charadrius obscurus). PLOS ONE.


Damerau M, Matschiner M, Salzburger W, Hanel R (2012) Comparative population genetics of seven notothenioid fish species in the southern Scotia Arc, Antarctica. Polar Biology.


Palandačič A, Matschiner M, Zupančič P, Sloj A (2012) Fish migrate underground: the example of Delminichthys adspersus (Cyprinidae). Molecular Ecology.


Rutschmann S, Matschiner M, Damerau M, Muschick M, Lehmann MF, Hanel R, Salzburger W (2011) Parallel ecological diversification in Antarctic notothenioid fishes as evidence for adaptive radiation. Molecular Ecology.


Matschiner M, Hanel R, Salzburger W (2011) On the origin of the notothenioid adaptive radiation. PLOS ONE.


Matschiner M, Hanel R, Salzburger W (2009) Gene flow by larval dispersal in the Antarctic notothenioid fish Gobionotothen gibberifrons. Molecular Ecology.


Matschiner M, Salzburger W (2009) TANDEM: integrating automated allele binning into genetics and genomics workflows. Bioinformatics.