GenomicsGenomicsPeer-reviewed journal article
Assessing temporal and geographic contacts across the Adriatic Sea through the analysis of genome-wide data from Southern Italy
Alessandro RaveaneiD, Ludovica MolinaroiD, Serena AneliiD, Marco Rosario CapodiferroiD, Luciana de GennaroiD, Linda OngaroiD, Nicola Rambaldi MiglioreiD, Sara Soffiati, Teodoro ScaranoiD, Antonio TorroniiD, Alessandro AchilliiD, Mario VenturaiD, Luca PaganiiD, Cristian CapelliiD, Anna OlivieriiD, Francesco BertoliniiD, Ornella SeminoiD, Francesco MontinaroiD
Abstract
Southern Italy was characterised by a complex prehistory that started with different Palaeolithic cultures, later followed by the Neolithic transition and the demic dispersal from the Pontic-Caspian Steppe during the Bronze Age. Archaeological and historical evidence points to demic and cultural influences between Southern Italians and the Balkans, starting with the initial Palaeolithic occupation until historical and modern times. To shed light on the dynamics of these contacts, we analysed a genome-wide SNP dataset of more than 700 individuals from the South Mediterranean area (102 from Southern Italy), combined with ancient DNA from neighbouring areas. Our findings revealed high affinities of South-Eastern Italians with modern Eastern Peloponnesians, and a closer affinity of ancient Greek genomes with those from specific regions of South Italy than modern Greek genomes. The higher similarity could be associated with the presence of a Bronze Age component ultimately originating from the Caucasus and characterised by high frequencies of Iranian and Anatolian Neolithic ancestries. Furthermore, to reveal possible signals of natural selection, we looked for extremely differentiated allele frequencies among Northern and Southern Italy, uncovering putatively adapted SNPs in genes involved in alcohol metabolism, nevi features and immunological traits, such as ALDH2, NID1 and CBLB.
- organism: human
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 7
- FWCI
- 0.75
- Field percentile
- top 33%
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