2018
DOI: 10.1002/ajpa.23679
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The female ancestor's tale: Long‐term matrilineal continuity in a nonisolated region of Tuscany

Abstract: The observed signals of long-term genetic continuity and isolation are in contrast with the history of the region, conquered several times (Etruscans, Romans, Lombards, and French). While the Etruscans appear as a local population, intermediate between the prehistoric and the other samples, we suggest that the other conquerors-arriving from far-had a consistent social or sex bias, hence only marginally affecting the maternal lineages. At the same time, our results show that long-term genealogical continuity is… Show more

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Cited by 3 publications
(3 citation statements)
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“…Local peculiarities have been highlighted by analyzing the mitogenome variation of specific regions, e.g. Marche, Piedmont, Tuscany and Sardinia 21,36,37,58 . However, a fine and exhaustive microgeographic characterization of other regions has yet to be conducted.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Local peculiarities have been highlighted by analyzing the mitogenome variation of specific regions, e.g. Marche, Piedmont, Tuscany and Sardinia 21,36,37,58 . However, a fine and exhaustive microgeographic characterization of other regions has yet to be conducted.…”
Section: Discussionmentioning
confidence: 99%
“…Most of these studies were performed on a large geographic scale producing low-definition results and mainly focusing on modern populations. As for microgeographic studies on Central Italy, only Etruscans (in Tuscany) and Picentes (in Marche) were the target of specific analyses that highlighted their genetic affinity with the current inhabitants [30][31][32][33][34][35][36][37] . However, Umbria, another crucial region in Central Italy, is still unexplored.…”
mentioning
confidence: 99%
“…Genetic demography is the branch of population genetics aiming at inferring changes in the size of one or more given populations from genetic data. It is widely used to reconstruct the demographic trajectories through time (e.g., Leonardi, Barbujani and Manica 2017;Miller, Manica and Amos 2018) or to test which demographic model within a set of explicit ones better fits the observed data (e.g., Leonardi et al 2018;Vai et al 2019).…”
Section: The Principles Of Genetic Demography: Null Models Genetic Dr...mentioning
confidence: 99%