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Punic people were genetically diverse with almost no Levantine ancestors

Abstract

The maritime Phoenician civilization from the Levant transformed the entire Mediterranean during the first millennium bce1,2,3. However, the extent of human movement between the Levantine Phoenician homeland and Phoenician–Punic settlements in the central and western Mediterranean has been unclear in the absence of comprehensive ancient DNA studies. Here, we generated genome-wide data for 210 individuals, including 196 from 14 sites traditionally identified as Phoenician and Punic in the Levant, North Africa, Iberia, Sicily, Sardinia and Ibiza, and an early Iron Age individual from Algeria. Levantine Phoenicians made little genetic contribution to Punic settlements in the central and western Mediterranean between the sixth and second centuries bce, despite abundant archaeological evidence of cultural, historical, linguistic and religious links4. Instead, these inheritors of Levantine Phoenician culture derived most of their ancestry from a genetic profile similar to that of Sicily and the Aegean. Much of the remaining ancestry originated from North Africa, reflecting the growing influence of Carthage5. However, this was a minority contributor of ancestry in all of the sampled sites, including in Carthage itself. Different Punic sites across the central and western Mediterranean show similar patterns of high genetic diversity. We also detect genetic relationships across the Mediterranean, reflecting shared demographic processes that shaped the Punic world.

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Fig. 1: Sample overview and PCA.
Fig. 2: Ancestry models inferred using qpAdm.
Fig. 3: Autosomal and Y diversity per site in Phoenician–Punic contexts and the published aDNA record.
Fig. 4: IBD segments shared between two individuals from Sicily and North Africa indicate that they were fifth-to-seventh-degree biological relatives.
Fig. 5: A Punic tomb from Villaricos contains individuals from an endogamous community.

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Data availability

Open science principles require making all data used to support the conclusions of a study fully available, and we support these principles here by making publicly available not only the digital copies of molecules (the uploaded sequences) but also the molecular copies (the aDNA libraries themselves, which constitute molecular data storage). Researchers who wish to carry out deeper sequencing of libraries published in this study should make a request to the corresponding author D.R. We commit to granting reasonable requests as long as the libraries remain preserved in our laboratories, with no requirement that we be included as collaborators or co-authors on any resulting publications. The raw DNA sequences for individuals newly sequenced in this study are deposited in the European Nucleotide Archive under accession number PRJEB86313. Their processed genotype data in pseudohaploid eigenstrat format can be obtained from the Harvard Dataverse repository (https://doi.org/10.7910/DVN/UPDESR). We include other newly reported data such as radiocarbon dates and archaeological context information in the Article and its Supplementary Information. We plotted the maps in Figs. 1 and 4 using the Python package basemap. The land-sea mask, coastline, lake, river and political boundary data are extracted from the GSHHG datasets (v.2.3.6) using GMT (5.x series). They are included under the terms of the open-source LGPLv3+ license.

Code availability

We deposited the code for analysing the data and producing the figures in this Article at GitHub (https://github.com/hringbauer/punic_aDNA).

References

  1. Aubet, M. E. The Phoenicians and the West: Politics, Colonies and Trade (Cambridge Univ. Press, 2001).

  2. Bondì, S. F., Garbati, G., Botto, M. & Oggiano, I. Fenici e Cartaginesi: Una Civiltà Mediterranea (Istituto poligrafico e Zecca dello Stato, Libreria dello Stato, 2009).

  3. López-Ruiz, C. Phoenicians and the Making of the Mediterranean (Harvard Univ. Press, 2022).

  4. Regev, D. Painting the Mediterranean Phoenician: On Canaanite-Phoenician Trade-Nets (Equinox, 2021).

  5. Roppa, A., Botto, M. & Van Dommelen, P. Il Mediterraneo Occidentale Dalla Fase Fenicia All’egemonia Cartaginese. Dinamiche Insediative, Forme Rituali e Cultura Materiale Nel V Secolo a. C (Edizioni Quasar, 2021).

  6. López-Ruiz, C. & Doak, B. R. The Oxford Handbook of the Phoenician and Punic Mediterranean (Oxford Univ. Press, 2019).

  7. Hoyos, D. Hannibal’s Dynasty: Power and Politics in the Western Mediterranean, 247-183 BC (Psychology Press, 2005).

  8. Miles, R. Carthage Must Be Destroyed: The Rise and Fall of an Ancient Civilization (National Geographic Books, 2012).

  9. Moscati, S. Fenicio o punico o cartaginese. Rivista Studi Fenici 16, 3–14 (1988).

    Google Scholar 

  10. van Dommelen, P. A. R. & Bellard, C. G. Rural Landscapes of the Punic World (Equinox, 2008).

  11. Doak, B. R. & López-Ruiz, C. in The Oxford Handbook of the Phoenician and Punic Mediterranean 3–8 (Oxford Academic, 2019); https://doi.org/10.1093/oxfordhb/9780190499341.013.1.

  12. Prag, J. R. W. in The Punic Mediterranean: Identities and Identification from Phoenician Settlement to Roman Rule (eds Quinn, J. C. & Vella, N. C. E.) 11–23 (Cambridge Univ. Press, 2014).

  13. Quinn, J. in In Search of the Phoenicians 25–40 (Princeton University Press, 2018).

  14. Matisoo-Smith, E. et al. A European mitochondrial haplotype identified in ancient Phoenician remains from Carthage, North Africa. PLoS ONE 11, e0155046 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Matisoo-Smith, E. et al. Ancient mitogenomes of Phoenicians from Sardinia and Lebanon: a story of settlement, integration, and female mobility. PLoS ONE 13, e0190169 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Sarno, S. et al. Insights into Punic genetic signatures in the southern necropolis of Tharros (Sardinia). Ann. Hum. Biol. https://doi.org/10.1080/03014460.2021.1937699 (2021).

  17. Haber, M. et al. Continuity and admixture in the last five millennia of Levantine history from ancient Canaanite and present-day Lebanese genome sequences. Am. J. Hum. Genet. 101, 274–282 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Haber, M. et al. A genetic history of the Near East from an aDNA time course sampling eight points in the past 4,000 years. Am. J. Hum. Genet. 107, 149–157 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Moots, H. M. et al. A genetic history of continuity and mobility in the Iron Age central Mediterranean. Nat. Ecol. Evol. https://doi.org/10.1038/s41559-023-02143-4 (2023).

  20. Marcus, J. H. et al. Genetic history from the Middle Neolithic to present on the Mediterranean island of Sardinia. Nat. Commun. 11, 939 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Zalloua, P. et al. Ancient DNA of Phoenician remains indicates discontinuity in the settlement history of Ibiza. Sci. Rep. 8, 17567 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Fu, Q. et al. An early modern human from Romania with a recent Neanderthal ancestor. Nature 524, 216–219 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Fu, Q. et al. A revised timescale for human evolution based on ancient mitochondrial genomes. Curr. Biol. 23, 553–559 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. López-Bertran, M. in The Oxford Handbook of the Phoenician and Punic Mediterranean 293–309 (Oxford Univ. Press, 2019).

  25. Agranat-Tamir, L. et al. The genomic history of the Bronze Age Southern Levant. Cell 181, 1146–1157 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Rodríguez-Varela, R. et al. Genomic analyses of pre-European conquest human remains from the Canary Islands reveal close affinity to modern North Africans. Curr. Biol. 28, 1677–1679 (2018).

    Article  PubMed  Google Scholar 

  27. Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207–211 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Harney, É., Patterson, N., Reich, D. & Wakeley, J. Assessing the performance of qpAdm: a statistical tool for studying population admixture. Genetics 217, iyaa045 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Zalloua, P. et al. Identifying genetic traces of historical expansions: Phoenician footprints in the Mediterranean. Am. J. Hum. Genet. 83, 633–642 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Ringbauer, H., Novembre, J. & Steinrücken, M. Parental relatedness through time revealed by runs of homozygosity in ancient DNA. Nat. Commun. 12, 5425 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Waldman, S. et al. Genome-wide data from medieval German Jews show that the Ashkenazi founder event pre-dated the 14th century. Cell 185, 4703–4716 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Ceballos, F. C., Joshi, P. K., Clark, D. W., Ramsay, M. & Wilson, J. F. Runs of homozygosity: windows into population history and trait architecture. Nat. Rev. Genet. 19, 220–234 (2018).

    Article  CAS  PubMed  Google Scholar 

  33. Skourtanioti, E. et al. Ancient DNA reveals admixture history and endogamy in the prehistoric Aegean. Nat. Ecol. Evol. 7, 290–303 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Astruc, M. La necropolis de Villaricos (CSIC, 1951).

  35. Ryan, S. E. et al. Growing up in Ancient Sardinia: infant-toddler dietary changes revealed by the novel use of hydrogen isotopes (δ2H). PLoS ONE 15, e0235080 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Fernandes, D. M. et al. The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean. Nat. Ecol. Evol. 4, 334–345 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  37. Antonio, M. L. et al. Ancient Rome: a genetic crossroads of Europe and the Mediterranean. Science 366, 708–714 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Lazaridis, I. et al. The genetic history of the Southern Arc: a bridge between West Asia and Europe. Science 377, eabm4247 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Olalde, I. et al. A genetic history of the Balkans from Roman frontier to Slavic migrations. Cell 186, 5472–5485 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Pinhasi, R. et al. Optimal ancient DNA yields from the inner ear part of the human petrous bone. PLoS ONE 10, e0129102 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  41. Dabney, J. et al. Complete mitochondrial genome sequence of a Middle Pleistocene cave bear reconstructed from ultrashort DNA fragments. Proc. Natl Acad. Sci. USA 110, 15758–15763 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Rohland, N., Glocke, I., Aximu-Petri, A. & Meyer, M. Extraction of highly degraded DNA from ancient bones, teeth and sediments for high-throughput sequencing. Nat. Protoc. 13, 2447–2461 (2018).

    Article  CAS  PubMed  Google Scholar 

  43. Briggs, A. W. et al. Removal of deaminated cytosines and detection of in vivo methylation in ancient DNA. Nucleic Acids Res. 38, e87 (2010).

    Article  PubMed  Google Scholar 

  44. Rohland, N., Harney, E., Mallick, S., Nordenfelt, S. & Reich, D. Partial uracil-DNA-glycosylase treatment for screening of ancient DNA. Philos. Trans. R. Soc. Lond. B 370, 20130624 (2015).

    Article  Google Scholar 

  45. Gansauge, M.-T., Aximu-Petri, A., Nagel, S. & Meyer, M. Manual and automated preparation of single-stranded DNA libraries for the sequencing of DNA from ancient biological remains and other sources of highly degraded DNA. Nat. Protoc. 15, 2279–2300 (2020).

    Article  CAS  PubMed  Google Scholar 

  46. Rohland, N. et al. Three assays for in-solution enrichment of ancient human DNA at more than a million SNPs. Genome Res. 32, 2068–2078 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Li, H. & Durbin, R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 26, 589–595 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  48. Behar, D. M. et al. A ‘Copernican’ reassessment of the human mitochondrial DNA tree from its root. Am. J. Hum. Genet. 90, 675–684 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Li, H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  50. Weissensteiner, H. et al. HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencing. Nucleic Acids Res. 44, W58–W63 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Rasmussen, M. et al. An Aboriginal Australian genome reveals separate human dispersals into Asia. Science 334, 94–98 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Reimer, P. J. et al. The IntCal20 Northern Hemisphere radiocarbon age calibration curve (0–55 cal kBP). Radiocarbon 62, 725–757 (2020).

    Article  CAS  Google Scholar 

  53. Mallick, S. et al. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci. Data 11, 182 (2024).

  54. Olalde, I. et al. The genomic history of the Iberian Peninsula over the past 8000 years. Science 363, 1230–1234 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Lazaridis, I. et al. Genetic origins of the Minoans and Mycenaeans. Nature 548, 214–218 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Evanno, G., Regnaut, S. & Goudet, J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol. Ecol. 14, 2611–2620 (2005).

    Article  CAS  PubMed  Google Scholar 

  59. Kopelman, N. M., Mayzel, J., Jakobsson, M., Rosenberg, N. A. & Mayrose, I. Clumpak: a program for identifying clustering modes and packaging population structure inferences across K. Mol. Ecol. Resour. 15, 1179–1191 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Behr, A. A., Liu, K. Z., Liu-Fang, G., Nakka, P. & Ramachandran, S. pong: fast analysis and visualization of latent clusters in population genetic data. Bioinformatics 32, 2817–2823 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Petr, M., Vernot, B. & Kelso, J. admixr-R package for reproducible analyses using ADMIXTOOLS. Bioinformatics 35, 3194–3195 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Ringbauer, H. et al. Accurate detection of identity-by-descent segments in human ancient DNA. Nat. Genet. 56, 143–151 (2024).

    Article  CAS  PubMed  Google Scholar 

  63. Kennett, D. J. et al. Archaeogenomic evidence reveals prehistoric matrilineal dynasty. Nat. Commun. 8, 14115 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. van den Brink, E. C. M. et al. A Late Bronze Age II clay coffin from Tel Shaddud in the Central Jezreel Valley, Israel: context and historical implications. Levantina 49, 105–135 (2017).

    Article  Google Scholar 

  65. Feldman, M. et al. Ancient DNA sheds light on the genetic origins of early Iron Age Philistines. Sci. Adv. 5, eaax0061 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

C.L.-F. was supported by PID2021-124590NB-100 grant (MCIU/AEI/FEDER, UE). H.R. was supported by the Max Planck–Harvard Research Center for the Archaeoscience of the Ancient Mediterranean (MHAAM). I.G., A.S.-M. and D. Regev were supported by ISF grant number 1045/20. L.S., A.C.F., C.D.V. and D.L. were supported by AGED PRIN 2017 project, MUR Italy. D. Reich was supported by National Institutes of Health grant HG012287; by John Templeton Foundation grant 61220; by the Howard Hughes Medical Institute (HHMI), a gift from J.-F. Clin; by the Allen Discovery Center, a Paul G. Allen Frontiers Group advised program of the Paul G. Allen Family Foundation; and by a grant from the Getty Foundation “The Classical World in Context: the Near East”. We thank V. Moses and M. McCormick for their comments. The project received funding from the Italian Ministry of Foreign Affairs and International Cooperation, and ISMEO. The D-REAMS Radiocarbon analysis was supported by the Exilarch Foundation for the Dangoor Research Accelerator Mass Spectrometer. We thank the Musée de l’Homme for providing us access to the human remains from Khenchela cave.

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Authors and Affiliations

Authors

Contributions

We annotate author contributions using the CRediT Taxonomy labels; where multiple authors serve in the same role, we specify the degree of contribution as lead, equal or support. Conceptualization (design of study): D. Reich, I.G. and D. Regev. Data curation (archaeology and bioanthropology): lead, R.P., C.L.-F., D. Regev, A.C., L.S., D.C., P.v.D. and D.P. Data curation (DNA): lead, H.R., I.G., D. Reich and S.M. Formal analysis: lead, H.R. and I.G.; support, A.S.-M., I.O., T.P., A. Mittnik, I.L., A.S. and S.M. Funding acquisition: D. Reich and I.G. Resources: G.F., M.B., A. Mezquida, B.C., H.J., P. Smith, S.V., A. Modi, K.C., E. Curtis, A.K., A.M.L., M.M., A. Micco, J.O., L.Q., K.S., J.N.W., N.M.-G., A.M.S.R., M.L.L.F., J.M.J.-A., I.J.T.M., E.V., J.S.P., S.L.C., T.M.-B., E.L., A.R.R., F.O., P.T., V.G., A.B., L.C., E.B., M.F., M.L., F.L.P., A.N., F.G., C.D.V., G.L., F.M., P. Sconzo, G.C., E. Cilli, A.C.F., F.F., D.L., B.J.C., N.R. and L.N. Supervision: lead, D. Reich and I.G. Visualization: lead, H.R., I.G. and A.S.-M. Writing (original draft preparation): H.R., I.G. and D. Reich. Writing (review and editing): all of the authors.

Corresponding authors

Correspondence to Harald Ringbauer, Ilan Gronau or David Reich.

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Extended data figures and tables

Extended Data Fig. 1 PCA of Punic individuals grouped according to site and chronology.

We project individuals sequenced at over 20,000 SNPs onto the same two PCs as in Fig. 1 (calculated from modern individuals, grey dots). Here, we plot all individuals from Punic archaeological sites, excluding the Phoenician site of Akhziv and including the 20 individuals dated to the Roman period (Supplementary Table 5). We split the sample into panels representing our four major geographic regions: Iberia, Sardinia, North Africa, and Sicily. The shape of the symbols indicates the site (lower left legend), and the colour indicates the date range of each individual (as described in the upper right legend).

Extended Data Fig. 2 Ancestry models inferred for 122 Phoenician-Punic individuals using unsupervised ADMIXTURE with K = 2, 3, 4 and 5 latent ancestry components.

The 122 Phoenician-Punic individuals sequenced for more than 100,000 SNPs were jointly analysed with 24 individuals from related ancient populations across the Mediterranean (Supplementary Table 12). (a) The model with the highest likelihood was obtained for each value of K among 50 replicate runs. Individuals are grouped based on region. Values of the ΔK score of58 are specified for K = 3,4, with a higher score obtained for K = 3, suggesting optimal fit. (b) A more detailed depiction of the best model obtained with K = 3 latent ancestry components corresponding to North African ancestry (red), eastern ancestry (green), and central/western Mediterranean ancestry (blue). Individuals are partitioned within each region according to site and time range (see legend). The unsupervised ADMIXTURE model does not adequately differentiate between Levantine ancestry and ancestry found in other Mediterranean locations (e.g., Anatolia and Sicily), unlike the qpAdm models of Extended Data Fig. 3.

Extended Data Fig. 3 Ancestry models inferred for the 140 Phoenician-Punic individuals in our data set by qpAdm.

We partitioned individuals by region: (a) North Africa, (b) Sicily, (c) Sardinia, (d) Iberia, and (e) the Levant. Within each region, we grouped individuals by site, and for sites in Sicily, Sardinia, and Iberia, also by broad date ranges (see legend for colour code). We ordered the models of each individual according to their P-values (grey bar above each model). We report P-values assuming that the LRT statistic is chi-squared distributed with degrees of freedom determined by the number of populations and of contributing source populations. We did not correct these P-values for multiple testing, but this approach is conservative since we report models with comparatively high P-values (those that are not rejected by the test). Individuals with low coverage (fewer than 100,000 SNPs) are indicated by an asterisk (*) next to the sample ID. Eastern ancestry models are indicated by a contribution of the proxy sources Levant MLBA. In contrast, western ancestry models are indicated by contributions from either Greece BA (Myc), Sicily EBA, Sardinia LBA, Iberia LBA, or Steppe MLBA. There are five individuals for whom no valid eastern or western model was inferred. For four of them, we inferred valid models under the broad ancestry scheme (marked by an asterisk above the vertical bar), and for one (I22122 from Tharros, Sardinia), we could not infer any valid model.

Extended Data Fig. 4 Proportions of North African ancestry inferred using the 2D PCA and qpAdm for 123 Punic individuals.

We exclude from this analysis the Akhziv sample, the three individuals from Sicily and Sardinia that cluster near Levantine individuals in the 2D PCA, and one individual for which we could not fit a qpAdm model. The qpAdm estimates are based on the smallest proportions estimated for the individual in a valid qpAdm model (see Methods). The PCA-based estimates of North African ancestry were computed by projecting the location of each sample in the PCA onto a cline from the cluster defined by Bronze Age individuals from Sicily to the cluster defined by North African individuals (see Supplementary Information S3 for more details). The two approaches yield similar estimates, with qpAdm being more sensitive to low ancestry proportions. Individuals from Kerkouane (depicted as squares) appear to have a broad range of North African ancestry (0 - 94%). Individuals from Sicily typically have lower proportions of North African ancestry (<20%), and we observe no significant shift in time. On the other hand, in Sardinia, none of the 12 individuals for which we inferred more than 10% North African ancestry (according to at least one of the two approaches) dated before 400 BCE, suggesting that North African ancestry was likely introduced around that time (Supplementary Information S3). We see a similar pattern in Iberia, but since we only have one individual from Iberia dating before 400 BCE, we cannot confidently infer the absence of North African ancestry during this time.

Extended Data Fig. 5 Y Haplogroup Diversity in male individuals from Phoenician and Punic contexts.

We inferred the first four characters of the ISOGG 2019 Y haplogroup classification for all Phoenician and Punic males with more than 100,000 autosomal SNPs covered (as those in almost all cases have sufficient coverage on the Y chromosome; see Methods). (a) Pie chart of Y haplogroup frequencies. (b) We visualize the Y haplogroup diversity partitioned per Phoenician or Punic site and denote each individual’s haplotype by one circle. We set the height of the bar to the overall frequency (as depicted in panel a). The numbers in brackets indicate the total Y haplotype sample size.

Extended Data Fig. 6 Autosomal and Y Diversity without the contribution of filtered North African ancestry, per site in Phoenician-Punic contexts and the published aDNA record.

(a) Y haplogroup diversity measured using the Inverse Simpson index. This value is computed as in Fig. 3a, excluding the three Punic individuals (from Kerkouane, Villaricos and Selinunte) with distinct North African Y haplogroups E1a and L (see Extended Data Fig. 5). (b) autosomal diversity measured using the first two PCs from Fig. 1 and the mean pairwise distance of those coordinates. This value is computed as in Fig. 3b, excluding individuals with more than 10% North African ancestry based on qpAdm in Phoenician-Punic sites (see Extended Data Fig. 4). Here, we combined individuals from the nearby Sicilian sites of Birgi, Motya, and Lilybaeum into one group (labelled Lilybaeum here). In both panels, the diversity measures for the context populations are as in Fig. 3 (without any additional filtering), and the dashed horizontal bar in both panels indicates the maximum diversity observed in sites dating before 500 BCE. See Supplementary Information S5 for a more detailed description of this analysis.

Extended Data Fig. 7 Two reconstructed pedigrees of Punic individuals.

We reconstructed two pedigrees based on inferring biological relatives with pairwise kinship (using IBD segment sharing) and uniparental haplogroups: (a) A pedigree linking five individuals from Kerkouane, North Africa; (b) A pedigree linking three individuals from Tharros, Sardinia. In the Kerkouane pedigree in (a), individuals I24215 and I24194 are inferred to be 3rd-4th degree relatives of the two siblings I24494 and I24193, but the exact pedigree relationship cannot be resolved. Each panel depicts the projection of the related individuals onto the two major PCs used in Fig. 1. Each pedigree specifies the sample IDs for all individuals, the mitochondrial (maternal) haplogroup and the Y (paternal) haplogroup for males. Both pedigrees contain individuals dating to 800–400 calBCE and link several individuals via the maternal lineage: We infer four identical maternal haplogroups in Kerkouane and a maternal grandfather in Tharros–two observations that are inconsistent with strict patrilocality.

Extended Data Fig. 8 Runs of homozygosity inferred in Phoenician and Punic individuals and ancient individuals of relevant Bronze and Iron Age contexts.

We computed runs of homozygosity (ROH) in all individuals with more than 400,000 SNPs covered and recorded the total length (in cM) of ROHs binned by length into four categories (see legend). We label individuals with at least 50 and 100 cM of their genome in long ROH (>20 cM) with triangle and square marks as in30 - to indicate offspring of close biological parental relatives. (a) ROH in Phoenician and Punic individuals, grouped by site. (b) ROH in individuals from relevant Bronze and Iron Age contexts (as depicted in Fig. 1). (c) Expected ROH for offspring of various cousin matings (according to the degree of relation between parents) and for individuals sampled in populations with small effective size (calculated as described in30).

Extended Data Fig. 9

Ancestry models inferred using qpAdm for individuals from Sicily from (a) the indigenous Iron Age sites of Polizzello and Monte Falcone, (b) from Phoenician sites before Roman expansion (as shown in Extended Data Fig. 3b), and (c) from Punic sites after Roman expansion. Colour horizontal bars indicate radiocarbon dates. The models of each individual are sorted according to their P-values (grey bar above each model). We report P-values assuming that the LRT statistic is chi-squared distributed with degrees of freedom determined by the number of populations and of contributing source populations. We did not correct these P-values for multiple testing, but this approach is conservative since we report models with comparatively high P-values (those that are not rejected by the test). Eastern ancestry models are indicated by a contribution of the proxy source Levant MLBA. In contrast, western ancestry models are indicated by contributions from either Greece BA (Myc), Sicily EBA, Sardinia LBA, Iberia LBA, or Steppe MLBA. There are seven individuals for which no valid eastern or western model was inferred. We inferred valid models under the broad ancestry scheme (marked by an asterisk above the vertical bar) for five of them. Two individuals were inferred to be related through IBD-sharing and are indicated in the figure. The analysis suggests that indigenous populations in Sicily have similar ancestry patterns as observed in the Phoenician sites but without North African ancestry. In later periods, we see the introduction of diverse ancestry sources (Levantine and western Mediterranean), likely associated with the Roman expansion into Sicily. See Supplementary Information S3 for more details.

Extended Data Fig. 10 Additional PCA projections.

(a) Bronze and Iron Age reference and Levantine populations. We show the same PCA as in Fig. 1 but focus on the ancient reference populations. (b) Zoom in PCA projections of Levantine populations. We show the same PCA depicted in (a), but zooming into the region where Levantine individuals project. We also include additional Bronze and Iron Age Levant individuals not included in Fig. 1. Those previously published individuals originate from Sidon in present-day Lebanon17 and various sites in present-day Israel (Megiddo, Yehud, Hazor, Baq’ah25, Tel Shadud64, Ashkelon64,65). Abbreviations: MLBA: Middle-Late Bronze Age, MBA: Middle Bronze Age, IA: Iron Age. All 13 individuals from Akhziv cluster next to other Levantine individuals, together with a single outlier individual from Tharros (I22119) inferred to have Levantine ancestry (Extended Data Fig. 3). Abbreviations: M/N: Mesolithic/Neolithic, MLBA: Middle-Late Bronze Age, MBA: Middle Bronze Age, LBA: Late Bronze Age, IA: Iron Age.

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Supplementary Information 1–6, Supplementary Tables 13–21 and Supplementary Figs. 1–6.

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Ringbauer, H., Salman-Minkov, A., Regev, D. et al. Punic people were genetically diverse with almost no Levantine ancestors. Nature 643, 139–147 (2025). https://doi.org/10.1038/s41586-025-08913-3

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