Prof Oscar Gaggiotti

Professor

Phone: +44 (0)1334 46 3513
Email: oeg@st-andrews.ac.uk

Research areas

Oscar Gaggiotti is a MASTS professor. His research focuses on the study of spatial patterns of genetic diversity to better understand the evolutionary and ecological processes responsible for their origin
and maintenance. To this end he develops ecologically realistic population genetics theory and methods using a framework based on the metapopulation paradigm and Bayesian statistics.

With his research group he has developed several statistical approaches that can simultaneously utilize the information provided by different types of data (genetic, demographic, environmental) and has applied them to two research problems:

Statistical inference of the demographic history and ecology of populations,
Study of local adaptation to understand the molecular bases of phenotypic variation.

PhD supervision

Éadin O'Mahony

Selected publications

Open access

Collecting baleen whale blow samples by drone: a minimally intrusive tool for conservation genetics
O'Mahony, É., Sremba, A., Keen, E., Robinson, N., Dundas, A., Steele, D., Wray, J., Baker, C. & Gaggiotti, O. E., 4 Apr 2024, (E-pub ahead of print) In: Molecular Ecology Resources. Early View
Research output: Contribution to journal › Article › peer-review
Open access

Ecological connectivity in Pacific deep-sea hydrothermal vent metacommunities
Fleming, BFM., Beaulieu, SE., Mills, SW., Gaggiotti, OE. & Mullineaux, LS., 13 Mar 2024, (E-pub ahead of print) In: Marine Ecology Progress Series. 731, p. 267-278 12 p.
Research output: Contribution to journal › Article › peer-review
Open access

Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters
Louis, M., Korlević, P., Nykänen, M., Archer, F., Berrow, S., Brownlow, A., Lorenzen, E. D., O’Brien, J., Post, K., Racimo, F., Rogan, E., Rosel, P. E., Sinding, M-H. S., van der Es, H., Wales, N., Fontaine, M. C., Gaggiotti, O. E. & Foote, A. D., 18 Jul 2023, In: Nature Communications. 14, 13 p., 4020.
Research output: Contribution to journal › Article › peer-review
Open access

Deep learning in population genetics
Korfmann, K., Gaggiotti, O. E. & Fumagalli, M., 2 Feb 2023, In: Genome Biology and Evolution. 15, 2, 20 p., evad008.
Research output: Contribution to journal › Review article › peer-review
Open access

Biogeography in the deep: hierarchical population genomic structure of two beaked whale species
Onoufriou, A. B., Gaggiotti, O. E., de Soto, N. A., McCarthy, M. L., Morin, P. A., Rosso, M., Dalebout, M., Davison, N., Baird, R. W., Baker, C. S., Berrow, S., Brownlow, A., Burns, D., Caurant, F., Claridge, D., Constantine, R., Demaret, F., Dreyer, S., Ðuras, M., Durban, J., & 21 others Frantzis, A., Freitas, L., Genty, G., Galov, A., Hansen, S. S., Kitchener, A. C., Martin, V., Mignucci-Giannoni, A. A., Montano, V., Moulins, A., Olavarría, C., Michael Poole, M., Suárez, C. R., Rogan, E., Ryan, C., Schiavi, A., Tepsich, P., Urban, J., West, K., Olsen, M. T. & Carroll, E. L., 1 Dec 2022, In: Global Ecology and Conservation. 40, 18 p., e02308.
Research output: Contribution to journal › Article › peer-review
Open access

Deciphering signatures of natural selection via deep learning
Qin, X., Chiang, C. & Gaggiotti, O. E., Sept 2022, In: Briefings in Bioinformatics. 23, 5, 10 p., bbac354.
Research output: Contribution to journal › Article › peer-review
Open access

Information-based summary statistics for spatial genetic structure inference
Qin, X. & Gaggiotti, O. E., 1 Aug 2022, In: Molecular Ecology Resources. 22, 6, p. 2183-2195 13 p., 13606.
Research output: Contribution to journal › Article › peer-review
Open access

KLFDAPC: a supervised machine learning approach for spatial genetic structure analysis
Qin, X., Chiang, C. W. K. & Gaggiotti, O. E., 1 Jul 2022, In: Briefings in Bioinformatics. 23, 4, 16 p., bbac202.
Research output: Contribution to journal › Article › peer-review
Open access

Variation in the genomic basis of parallel phenotypic and ecological divergence in benthic and pelagic morphs of Icelandic Arctic charr (Salvelinus alpinus)
Brachmann, M. K., Parsons, K., Skúlason, S., Gaggiotti, O. & Ferguson, M., 1 Sept 2022, In: Molecular Ecology. 31, 18, p. 4688-4706 19 p.
Research output: Contribution to journal › Article › peer-review
Open access

Deep learning and satellite imagery predict genetic diversity and differentiation
Kittlein, M., Mora, M. S., Mapelli, F. J., Austrich, A. & Gaggiotti, O. E., 16 Dec 2021, (E-pub ahead of print) In: Methods in Ecology and Evolution. Early View
Research output: Contribution to journal › Article › peer-review

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