Olivieri, A. et al. (2017) Mitogenome diversity in Sardinians: a genetic window onto an island's past. Molecular Biology and Evolution, (doi:10.1093/molbev/msx082) (PMID:28177087) (Early Online Publication)
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Sardinians are “outliers” in the European genetic landscape and, according to paleogenomic nuclear data, the closest to early European Neolithic farmers. To learn more about their genetic ancestry, we analyzed 3,491 modern and 21 ancient mitogenomes from Sardinia. We observed that 78.4% of modern mitogenomes cluster into 89 haplogroups that most likely arose in situ. For each Sardinian-Specific Haplogroup (SSH), we also identified the upstream node in the phylogeny, from which non-Sardinian mitogenomes radiate. This provided minimum and maximum time estimates for the presence of each SSH on the island. In agreement with demographic evidence, almost all SSHs coalesce in the post-Nuragic, Nuragic and Neolithic-Copper Age periods. For some rare SSHs, however, we could not dismiss the possibility that they might have been on the island prior to the Neolithic, a scenario that would be in agreement with archeological evidence of a Mesolithic occupation of Sardinia.
|Status:||Early Online Publication|
|Glasgow Author(s) Enlighten ID:||Macaulay, Dr Vincent|
|Authors:||Olivieri, A., Sidore, C., Achilli, A., Angius, A., Posth, C., Furtwängler, A., Brandini, S., Capodiferro, M. R., Gandini, F., Zoledziewska, M., Pitzalis, M., Maschio, A., Busonero, F., Lai, L., Skeates, R., Gradoli, M. G., Beckett, J., Marongiu, M., Mazzarello, V., Marongiu, P., Rubino, S., Rito, T., Macaulay, V., Semino, O., Pala, M., Abecasis, G. R., Schlessinger, D., Conde-Sousa, E., Soares, P., Richards, M. B., Cucca, F., and Torroni, A.|
|College/School:||College of Science and Engineering > School of Mathematics and Statistics > Statistics|
|Journal Name:||Molecular Biology and Evolution|
|Publisher:||Oxford University Press|
|Published Online:||08 February 2017|
|Copyright Holders:||Copyright © 2017 The Authors|
|First Published:||First published in Molecular Biology and Evolution 2017|
|Publisher Policy:||Reproduced under a Creative Commons License|