Female sex bias in Iberian megalithic societies through bioarchaeology, aDNA and proteomics
- Autor(en)
- Marta Bonilla Díaz-Zorita, Aranda Jiménez Gonzalo, Margarita Sánchez Romero, Rosa Fregel, Katharina Rebay-Salisbury, Fabian Kanz, Miriam Vílchez Suárez, Sonia Robles Carrasco, Paula Becerra Fuello, Alejandra C. Ordóñez, Michael Wolf, Javier González Serrano, Lara Milesi García
- Abstrakt
Uncertainties regarding traditional osteological methods in biological sex estimation can often be overcome with genomic and proteomic analyses. The combination of the three methodologies has been used for a better understanding of the gender-related funerary rituals at the Iberian megalithic cemetery of Panoría. As a result, 44 individuals have been sexed including, for the first time, non-adults. Contrary to the male bias found in many Iberian and European megalithic monuments, the Panoría population shows a clear sex ratio imbalance in favour of females, with twice as many females as males. Furthermore, this imbalance is found regardless of the criterion considered: sex ratio by tomb, chronological period, method of sex estimation, or age group. Biological relatedness was considered as possible sociocultural explanations for this female-related bias. However, the current results obtained for Panoría are indicative of a female-centred social structure potentially influencing rites and cultural traditions.
- Organisation(en)
- Institut für Urgeschichte und Historische Archäologie, Institut für Analytische Chemie
- Externe Organisation(en)
- Eberhard Karls Universität Tübingen, Universidad de Granada, Universidad de La Laguna, Universidad de Málaga
- Journal
- Scientific Reports
- Band
- 14
- ISSN
- 2045-2322
- DOI
- https://doi.org/file:///C:/Users/krebay/Downloads/s41598-024-72148-x-1.pdf
- Publikationsdatum
- 09-2024
- Peer-reviewed
- Ja
- ÖFOS 2012
- 601021 Urgeschichte
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/female-sex-bias-in-iberian-megalithic-societies-through-bioarchaeology-adna-and-proteomics(564c6c08-5369-475a-a592-35229671fcae).html