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  • 1.
    Dehasque, M
    et al.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Pecnerova, P
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Muller, H
    Tikhonov, A
    Nikolskiy, P
    Tsigankova, V I
    Danilov, G K
    Diez-del-Molino, D
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Vartanyan, S
    Dalen, L
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Lister, A M
    Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia2021In: Quaternary Science Reviews, ISSN 0277-3791, E-ISSN 1873-457X, Vol. 259Article in journal (Refereed)
    Download full text (pdf)
    fulltext
  • 2.
    Dehasque, Marianne
    et al.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    avila-Arcos, Maria C.
    Diez-del-Molino, David
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Fumagalli, Matteo
    Guschanski, Katerina
    Lorenzen, Eline D.
    Malaspinas, Anna-Sapfo
    Marques-Bonet, Tomas
    Martin, Michael D.
    Murray, Gemma G. R.
    Papadopulos, Alexander S. T.
    Therkildsen, Nina Overgaard
    Wegmann, Daniel
    Dalen, Love
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Foote, Andrew D.
    Inference of natural selection from ancient DNA2020In: EVOLUTION LETTERS, Vol. 4, no 2, p. 94-108Article in journal (Refereed)
    Abstract [en]

    Evolutionary processes, including selection, can be indirectly inferred based on patterns of genomic variation among contemporary populations or species. However, this often requires unrealistic assumptions of ancestral demography and selective regimes. Sequencing ancient DNA from temporally spaced samples can inform about past selection processes, as time series data allow direct quantification of population parameters collected before, during, and after genetic changes driven by selection. In this Comment and Opinion, we advocate for the inclusion of temporal sampling and the generation of paleogenomic datasets in evolutionary biology, and highlight some of the recent advances that have yet to be broadly applied by evolutionary biologists. In doing so, we consider the expected signatures of balancing, purifying, and positive selection in time series data, and detail how this can advance our understanding of the chronology and tempo of genomic change driven by selection. However, we also recognize the limitations of such data, which can suffer from postmortem damage, fragmentation, low coverage, and typically low sample size. We therefore highlight the many assumptions and considerations associated with analyzing paleogenomic data and the assumptions associated with analytical methods.

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    fulltext
  • 3. Feuerborn, Tatiana R.
    et al.
    Palkopoulou, Eleftheria
    van der Valk, Tom
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    von Seth, Johanna
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Munters, Arielle R.
    Pečnerová, Patrícia
    Dehasque, Marianne
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Ureña, Irene
    Ersmark, Erik
    Lagerholm, Vendela Kempe
    Krzewińska, Maja
    Rodríguez-Varela, Ricardo
    Götherström, Anders
    Dalén, Love
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Díez-del-Molino, David
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Competitive mapping allows for the identification and exclusion of human DNA contamination in ancient faunal genomic datasets2020In: BMC Genomics, E-ISSN 1471-2164, Vol. 21, no 1Article in journal (Refereed)
    Abstract [en]

    After over a decade of developments in field collection, laboratory methods and advances in high-throughput sequencing, contamination remains a key issue in ancient DNA research. Currently, human and microbial contaminant DNA still impose challenges on cost-effective sequencing and accurate interpretation of ancient DNA data.

    Download full text (pdf)
    fulltext
  • 4.
    Pecnerova, P
    et al.
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Diez-del-Molino, D
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    van der Valk, T
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Dehasque, M
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Gotherstrom, A
    Dalen, L
    Swedish Museum of Natural History, Department of Bioinformatics and Genetics.
    Mammuthus sp. (Early and Middle Pleistocene Mammoths)2021In: Trends in Genetics, ISSN 0168-9525, E-ISSN 1362-4555, Vol. 37, no 7, p. 682-683Article in journal (Refereed)
  • 5. Rosengren, Erika
    et al.
    Acatrinei, Arina
    Cruceru, Nicolae
    Dehasque, Marianne
    Haliuc, Aritina
    Lord, Edana
    Mircea, Cristina I.
    Rusu, Ioana
    Mármol-Sánchez, Emilio
    Kelemen, Beatrice S.
    Meleg, Ioana N.
    Ancient Faunal History Revealed by Interdisciplinary Biomolecular Approaches2021In: Diversity, E-ISSN 1424-2818Article in journal (Refereed)
    Abstract [en]

    Starting four decades ago, studies have examined the ecology and evolutionary dynamics of populations and species using short mitochondrial DNA fragments and stable isotopes. Through technological and analytical advances, the methods and biomolecules at our disposal have increased significantly to now include lipids, whole genomes, proteomes, and even epigenomes. At an unprecedented resolution, the study of ancient biomolecules has made it possible for us to disentangle the complex processes that shaped the ancient faunal diversity across millennia, with the potential to aid in implicating probable causes of species extinction and how humans impacted the genetics and ecology of wild and domestic species. However, even now, few studies explore interdisciplinary biomolecular approaches to reveal ancient faunal diversity dynamics in relation to environmental and anthropogenic impact. This review will approach how biomolecules have been implemented in a broad variety of topics and species, from the extinct Pleistocene megafauna to ancient wild and domestic stocks, as well as how their future use has the potential to offer an enhanced understanding of drivers of past faunal diversity on Earth.

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