The nature and distribution of political power in Europe during the Neolithic era remains poorly understood1. During this period, many societies began to invest heavily in building monuments, which suggests an increase in social organization. The scale and sophistication of megalithic architecture along the Atlantic seaboard, culminating in the great passage tomb complexes, is particularly impressive2. Although co-operative ideology has often been emphasised as a driver of megalith construction1, the human expenditure required to erect the largest monuments has led some researchers to emphasize hierarchy3—of which the most extreme case is a small elite marshalling the labour of the masses. Here we present evidence that a social stratum of this type was established during the Neolithic period in Ireland. We sampled 44 whole genomes, among which we identify the adult son of a first-degree incestuous union from remains that were discovered within the most elaborate recess of the Newgrange passage tomb. Socially sanctioned matings of this nature are very rare, and are documented almost exclusively among politico-religious elites4—specifically within polygynous and patrilineal royal families that are headed by god-kings5,6. We identify relatives of this individual within two other major complexes of passage tombs 150 km to the west of Newgrange, as well as dietary differences and fine-scale haplotypic structure (which is unprecedented in resolution for a prehistoric population) between passage tomb samples and the larger dataset, which together imply hierarchy. This elite emerged against a backdrop of rapid maritime colonization that displaced a unique Mesolithic isolate population, although we also detected rare Irish hunter-gatherer introgression within the Neolithic population.
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Raw FASTQ and aligned BAM files are available through the European Nucleotide Archive under accession number PRJEB36854. Any other relevant data are available from the corresponding authors upon reasonable request.
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We thank the National Museum of Ireland, particularly M. Cahill, N. O’Connor, E. Ashe, E. McLoughlin, M. Sikora and M. Seaver for help in the provision of archaeological samples under licence; National Museums NI; M. Mirazón Lahr and the Leverhulme Centre for Human Evolutionary Studies; R. Martiniano for assisting with an initial sample screening; Trinseq for sequencing support; the DJEI/DES/SFI/HEA Irish Centre for High-End Computing (ICHEC) for the provision of computational facilities; and M. Sinding, P. Maisano Delser, K. Daly, R. Hensey, P. Meehan and M. Teasdale for critical reading of the manuscript. This work was funded by the Science Foundation Ireland/Health Research Board/Wellcome Trust Biomedical Research Partnership Investigator Award no. 205072 to D.G.B., ‘Ancient Genomics and the Atlantic Burden’. In the early part of the study, L.M.C. was funded by Irish Research Council Government of Ireland Scholarship Scheme (GOIPG/2013/1219). E.R.J. was supported by the Herchel Smith Postdoctoral Fellowship Fund. Several radiocarbon determinations were funded by an NERC award to T.K. (NF/2016/2/18).
The authors declare no competing interests.
Peer review information Nature thanks Duncan Garrow, Michael Hofreiter and David Reich for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
a, ADMIXTURE plot (K = 14) for ancient Irish and British populations (first row), other ancient Eurasians (second and third rows) and global modern populations (fourth row). For components that reach their maximum in modern populations, the five individuals with highest values were selected for representation. If the majority of these individuals come from a single population the block is labelled as such; otherwise, it is labelled using the general geographic region from which these individuals originate. Three components reach their maximum in ancient populations, and we label these ‘European_HG’ (red), Early_Farmer (orange) and ‘Steppe’ (teal). b, Box plot (Tukey method) showing the distribution of the European_HG component among British and Irish Neolithic shotgun-sequenced individuals (n = 50). c, Normalized haplotypic length contributions, estimated with ChromoPainter, from Early Neolithic populations to later Neolithic and Chalcolithic individuals. The top two donors are outlined in black for each individual. Given the unsupervised nature of the analysis, regional differences in overall haplotypic donation levels should be ignored, as larger populations have more opportunity for within-group painting.
a, ChromoPainter principal component analysis of diverse ancient genomes (n = 149) generated using the output matrix of haplotypic lengths. The colour and shape key for the Irish samples follows Fig. 1. b, fineSTRUCTURE dendrogram derived from the same matrix as in a, with the passage tomb cluster highlighted. Dotted branches are shown at a quarter of their true length.
a, Whole-genome plot of heterozygosity in NG10, revealing extreme runs of homozygosity. b, Nine mating scenarios (coloured lines) that can lead to an inbreeding coefficient of 25%. c, Number and average lengths of homozygous-by-descent (HBD) segments for each of these simulated scenarios (500 iterations) and the same values observed for the NG10 genome. Box plots follow Tukey’s method. Scenarios in the subpanels i and ii best fit the homozygous-by-descent distribution of NG10; ii is less parsimonious than i when anthropological and biological factors are taken into consideration.
Inbreeding coefficients for imputed ancient samples estimated by measuring the proportion of the genome that is homozygous by descent. Box plots follow Tukey’s method. Individuals are binned according to archaeological period. UP-MS, Upper Palaeolithic to Mesolithic (n = 24); EN, Early Neolithic (n = 13); MN-CA, Middle Neolithic to Chalcolithic (n = 69); BA, European Bronze Age (n = 12); IA-MA, Iron Age to Medieval (n = 21); Steppe CA-BA, steppe Chalcolithic to Bronze Age (n = 14). Outliers of note are labelled. The inferred degrees of relatedness between the parents of an individual are marked.
Extended Data Fig. 5 Detecting recent shared ancestry between pairs of British and Irish Neolithic samples.
a, lcMLkin31 kinship coefficients between pairs of Irish and British Neolithic samples, jittered by a height of 0.00018 and width of 0.00036 for visualization. Optimized duplicate tests are linked by dotted lines. Several standalone values are also shown (italics), in which one duplicate did not meet the threshold of overlapping sites (>20,000). The MB6 and car004 pairing (19,850 sites) is shown as a translucent point. An inset is shown for lower values of pi-HAT. Pairs over 5σ from the mean pi-HAT and K0 for subpanel ii (marked with a line) are highlighted using the same colour and shape key as in Fig. 1. Combined symbols are used for inter-site pairs. b, Total haplotypic lengths donated between all pairs (n = 2,162) of British and Irish samples from the ChromoPainter analysis of diverse ancient samples (Extended Data Fig. 2). Outlying pairs (4σ above the mean) are labelled. c, Outgroup f3-statistics measuring shared drift between pairs (n = 2,236) of Irish and British Neolithic samples (>25,000 informative sites). d, Total haplotypic lengths donated between all pairs of ‘passage tomb cluster’ (pink; n = 42) and ‘British–Irish cluster’ (grey; n = 1,190) samples from the ChromoPainter analysis of genomes from the Atlantic seaboard (Fig. 1d, e). Single members from the outlying pairs in b were removed for this analysis. Positions of passage tomb pairs are marked along the x axis, with two outlying pairs from Carrowkeel highlighted.
a, Nitrogen stable-isotope values (an indicator of trophic level) plotted across time for samples from the neighbouring sites of Poulnabrone (blue) and Parknabinnia (yellow). For male samples, the Y chromosome haplogroup is given. Distant kinship connections are marked with a dotted line, and a closer (about fourth degree) relationship is highlighted with a solid line. b, Box plot (Tukey’s method) of normalized read coverage aligning to chromosome 21 for shotgun-sequenced ancient samples (n = 188), with a single outlier from Poulnabrone (representing an infant with trisomy).
Extended Data Fig. 7 Subclade distributions of Y chromosome haplogroup I2a1 in Ireland, Britain and Europe from the Mesolithic to the Bronze Age.
a, Y haplogroups observed for Neolithic individuals (jittered) in Britain and Ireland. Shape indicates the approximate time period within the Neolithic (based on ref. 91), and colour indicates haplogroup and follows the same keys as in b–d. b–d, Approximately 94% of the British and Irish Neolithic samples belong to haplogroups I2a1b1 (45%), I2a1a1 (14%) and I2a1a2 (35%). Incidences (jittered) of these haplogroups in European individuals from the Mesolithic to the Bronze Age are shown for I2a1b1 (b), I2a1a1 (c) and I2a1a2 (d). Haplogroup colour keys are shown with respect to phylogenetic placement; those haplogroups observed within Britain and Ireland are shown in bold. European individuals who share an identical set of haplotypic mutations (for sites covered) to an Irish Neolithic individual are highlighted with a black outline in c (for I2a1a1) and d (for I2a1a2).
Extended Data Fig. 8 Geographic and genomic distributions of northwestern European hunter-gatherer ancestry among British and Irish Neolithic individuals.
a, Geographic distribution of northwestern European hunter-gatherer introgression in Britain and Ireland across 103 Neolithic samples. Box plot (Tukey’s method) highlights four outliers, three from the Early-to-Middle Neolithic of Argyll and one from Ireland (designated Parknabinnia675 (PB675)). The next highest value is also from Parknabinnia (individual PB754). b, The same D-statistic run on separate chromosomes for individuals of sufficient coverage (n = 86). Outlying individuals are marked for each chromosome. Irish outliers follow the same shape and colour key as in Fig. 1. Outliers who are also outliers in the box plot in a are marked in bold. c, Box plot (Tukey’s method; n = 86) of sample standard deviations across the chromosomes for the same D-statistic. Four outliers with high variance across the chromosomes are marked, including three samples from Parknabinnia, two of whom are also top hits in a. d–f, Haplotypic affinities of imputed Irish and British Neolithic individuals (n = 47) to Irish hunter-gatherers, relative to other northwestern European hunter-gatherers (Bichon, Loschbour and Cheddar Man). Colour and shape key follows Fig. 1. The outlying individual PB675 shows a preference for Irish hunter-gatherer haplotypes in all measures. Regression lines are shown with 95% confidence interval shaded (sample size = 47). PB675 shows a higher-than-expected number of Irish hunter-gatherer haplotypes (d), has the highest overall hunter-gatherer haplotypic length contribution, with a ratio skewed towards Irish hunter-gatherers (e) and displays the longest average length of Irish-hunter-gatherer haplotype chunks (f).
Extended Data Fig. 9 SNP -sharing analyses of autosomal structure in Neolithic populations of the Atlantic seaboard.
a, Principal component analysis created using an identical sample (n = 57) and set of SNPs (about 488,000 sites; pseudo-haplodized) to that presented in Fig. 1d, e. b, Outgroup f3-statistics for all combinations of samples in a, using a reduced set of SNPs (about 270,000 sites; pseudo-haplodized). Results are presented in a heat map and corresponding dendrogram.
Extended Data Fig. 10 Imputation accuracies for chromosome 22 of the high-coverage NE1 genome, downsampled to 1×.
The levels of accuracy seen across all SNPs (solid line) (n = 204,316 for no minor allele frequency (MAF) filter and genotype probability of 80) is compared to that seen for transversions only (dashed line) (n = 62,374 for no minor allele frequency filter and genotype probability of 80). Accuracies at different genotype probability thresholds and minor allele frequency filters are shown for the three different genotype categories. Minor allele frequency filters are based on overall frequency in the 1000 Genomes phase 3 dataset.
This file contains Supplementary Methods and Text, Supplementary Figures 1-6 and Supplementary References. (PDF file: 5,958 Kb).
This file contains Supplementary Tables 1-12. Supplementary Table 1 contains archaeological information for all samples screened. Supplementary Table 2 contains sequencing statistics. Supplementary Table 3 contains published genomic data included in this study. Supplementary Table 4 contains published isotopic data included in this study. Supplementary Table 5 contains molecular sexing statistics. Supplementary Tables 6-8 contains sample mitochondrial and Y chromosome haplogroup information. Supplementary Tables 9-11 contain D- and f-statistic results. Supplementary Table 12 contains hIrisPlex-S results. (XLSX file: 1,071 Kb).
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Cassidy, L.M., Maoldúin, R.Ó., Kador, T. et al. A dynastic elite in monumental Neolithic society. Nature 582, 384–388 (2020). https://doi.org/10.1038/s41586-020-2378-6
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