Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia

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Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia. / Dehasque, Marianne; Pečnerová, Patrícia; Muller, Héloïse; Tikhonov, Alexei; Nikolskiy, Pavel; Tsigankova, Valeriya I.; Danilov, Gleb K.; Díez-del-Molino, David; Vartanyan, Sergey; Dalén, Love; Lister, Adrian M.

In: Quaternary Science Reviews, Vol. 259, 106913, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Dehasque, M, Pečnerová, P, Muller, H, Tikhonov, A, Nikolskiy, P, Tsigankova, VI, Danilov, GK, Díez-del-Molino, D, Vartanyan, S, Dalén, L & Lister, AM 2021, 'Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia', Quaternary Science Reviews, vol. 259, 106913. https://doi.org/10.1016/j.quascirev.2021.106913

APA

Dehasque, M., Pečnerová, P., Muller, H., Tikhonov, A., Nikolskiy, P., Tsigankova, V. I., Danilov, G. K., Díez-del-Molino, D., Vartanyan, S., Dalén, L., & Lister, A. M. (2021). Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia. Quaternary Science Reviews, 259, [106913]. https://doi.org/10.1016/j.quascirev.2021.106913

Vancouver

Dehasque M, Pečnerová P, Muller H, Tikhonov A, Nikolskiy P, Tsigankova VI et al. Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia. Quaternary Science Reviews. 2021;259. 106913. https://doi.org/10.1016/j.quascirev.2021.106913

Author

Dehasque, Marianne ; Pečnerová, Patrícia ; Muller, Héloïse ; Tikhonov, Alexei ; Nikolskiy, Pavel ; Tsigankova, Valeriya I. ; Danilov, Gleb K. ; Díez-del-Molino, David ; Vartanyan, Sergey ; Dalén, Love ; Lister, Adrian M. / Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia. In: Quaternary Science Reviews. 2021 ; Vol. 259.

Bibtex

@article{e15b596e17a648339db0f7827943a806,
title = "Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia",
abstract = "To understand the causes and implications of an extinction event, detailed information is necessary. However, this can be challenging when working with poorly resolved paleontological data sets. One approach to increase the data resolution is by combining different methods. In this study, we used both radiocarbon and genetic data to reconstruct the population history and extinction dynamics of the woolly mammoth in northern Siberia. We generated 88 new radiocarbon dates and combined these with previously published dates from 626 specimens to construct Bayesian age models. These models show that mammoths disappeared on the eastern Siberian mainland before the onset of the Younger Dryas (12.9–11.7 ky cal BP). Mammoths did however persist in the northernmost parts of central and western Siberia until the early Holocene. Further genetic results of 131 high quality mitogenomes, including 22 new mitogenomes generated in this study, support the hypothesis that mammoths from, or closely related to, a central and/or west- Siberian population recolonized Wrangel Island over the now submerged northern Siberian plains. As mammoths became trapped on the island due to rising sea levels, they lived another ca. 6000 years on Wrangel Island before eventually going extinct ca. 4000 years ago.",
keywords = "Ancient DNA, Bayesian age modelling, Mitochondrial genomes, Radiocarbon, Woolly mammoth",
author = "Marianne Dehasque and Patr{\'i}cia Pe{\v c}nerov{\'a} and H{\'e}lo{\"i}se Muller and Alexei Tikhonov and Pavel Nikolskiy and Tsigankova, {Valeriya I.} and Danilov, {Gleb K.} and David D{\'i}ez-del-Molino and Sergey Vartanyan and Love Dal{\'e}n and Lister, {Adrian M.}",
year = "2021",
doi = "10.1016/j.quascirev.2021.106913",
language = "English",
volume = "259",
journal = "Quaternary Science Reviews",
issn = "0277-3791",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia

AU - Dehasque, Marianne

AU - Pečnerová, Patrícia

AU - Muller, Héloïse

AU - Tikhonov, Alexei

AU - Nikolskiy, Pavel

AU - Tsigankova, Valeriya I.

AU - Danilov, Gleb K.

AU - Díez-del-Molino, David

AU - Vartanyan, Sergey

AU - Dalén, Love

AU - Lister, Adrian M.

PY - 2021

Y1 - 2021

N2 - To understand the causes and implications of an extinction event, detailed information is necessary. However, this can be challenging when working with poorly resolved paleontological data sets. One approach to increase the data resolution is by combining different methods. In this study, we used both radiocarbon and genetic data to reconstruct the population history and extinction dynamics of the woolly mammoth in northern Siberia. We generated 88 new radiocarbon dates and combined these with previously published dates from 626 specimens to construct Bayesian age models. These models show that mammoths disappeared on the eastern Siberian mainland before the onset of the Younger Dryas (12.9–11.7 ky cal BP). Mammoths did however persist in the northernmost parts of central and western Siberia until the early Holocene. Further genetic results of 131 high quality mitogenomes, including 22 new mitogenomes generated in this study, support the hypothesis that mammoths from, or closely related to, a central and/or west- Siberian population recolonized Wrangel Island over the now submerged northern Siberian plains. As mammoths became trapped on the island due to rising sea levels, they lived another ca. 6000 years on Wrangel Island before eventually going extinct ca. 4000 years ago.

AB - To understand the causes and implications of an extinction event, detailed information is necessary. However, this can be challenging when working with poorly resolved paleontological data sets. One approach to increase the data resolution is by combining different methods. In this study, we used both radiocarbon and genetic data to reconstruct the population history and extinction dynamics of the woolly mammoth in northern Siberia. We generated 88 new radiocarbon dates and combined these with previously published dates from 626 specimens to construct Bayesian age models. These models show that mammoths disappeared on the eastern Siberian mainland before the onset of the Younger Dryas (12.9–11.7 ky cal BP). Mammoths did however persist in the northernmost parts of central and western Siberia until the early Holocene. Further genetic results of 131 high quality mitogenomes, including 22 new mitogenomes generated in this study, support the hypothesis that mammoths from, or closely related to, a central and/or west- Siberian population recolonized Wrangel Island over the now submerged northern Siberian plains. As mammoths became trapped on the island due to rising sea levels, they lived another ca. 6000 years on Wrangel Island before eventually going extinct ca. 4000 years ago.

KW - Ancient DNA

KW - Bayesian age modelling

KW - Mitochondrial genomes

KW - Radiocarbon

KW - Woolly mammoth

U2 - 10.1016/j.quascirev.2021.106913

DO - 10.1016/j.quascirev.2021.106913

M3 - Journal article

AN - SCOPUS:85103572429

VL - 259

JO - Quaternary Science Reviews

JF - Quaternary Science Reviews

SN - 0277-3791

M1 - 106913

ER -

ID: 261375193