Abstract
Ancient Egyptian society flourished for millennia, reaching its peak during the Dynastic Period (approximately 3150â30âbce). However, owing to poor DNA preservation, questions about regional interconnectivity over time have not been addressed because whole-genome sequencing has not yet been possible. Here we sequenced a 2à coverage whole genome from an adult male Egyptian excavated at Nuwayrat (Nuerat, ÙÙÙØ±Ø§Øª). Radiocarbon dated to 2855â2570âcal. bce, he lived a few centuries after Egyptian unification, bridging the Early Dynastic and Old Kingdom periods. The body was interred in a ceramic pot within a rock-cut tomb1, potentially contributing to the DNA preservation. Most of his genome is best represented by North African Neolithic ancestry, among available sources at present. Yet approximately 20% of his genetic ancestry can be traced to genomes representing the eastern Fertile Crescent, including Mesopotamia and surrounding regions. This genetic affinity is similar to the ancestry appearing in Anatolia and the Levant during the Neolithic and Bronze Age2,3,4,5. Although more genomes are needed to fully understand the genomic diversity of early Egyptians, our results indicate that contacts between Egypt and the eastern Fertile Crescent were not limited to objects and imagery (such as domesticated animals and plants, as well as writing systems)6,7,8,9 but also encompassed human migration.
Similar content being viewed by others
Main
For thousands of years, the Egyptian Dynastic civilization (approximately 3150â30âbce) developed monumental architecture, sophisticated technology and relatively stable belief systems, becoming the longest-lasting civilization known. Following the political unification of the northern and southern regions of Egypt (Lower and Upper Egypt) at the end of the fourth millennium bce, the Old Kingdom (2686â2125âbce) witnessed considerable advances, including the construction of the first step pyramid complex of King Djoser and the âGreat Pyramid of Gizaâ built by King Khufu. The population has been considered to be of local origin, with limited input from neighbouring regions8,10. Yet, more recent archaeological evidence shows that trade connections existed across the Fertile Crescent since at least the sixth millennium bce7, if not earlier, with the advent of the Neolithic package (such as domesticated animals and plants)6,7. Cultural exchange continued to develop through the late fourth millennium bce with the growing Sumerian civilization of Mesopotamia7,8,9. This period overlaps with the appearance of additional innovations in Egypt (such as the pottery wheel)11 and the earliest evidence of hieroglyphic writing in the form of ivory tags in Tomb U-j at Abydos, dated 3320â3150 bce7.
Our knowledge of ancient Egyptians has increased through decades of bioarchaeological analyses12,13,14,15, including dental morphological studies on their relatedness to other populations in North Africa and West Asia16,17,18. However, the lack of ancient genomes, particularly for the early periods of Egyptian Dynastic history, remains a barrier to our understanding of population continuity and gene flow in the region. Although individuals from ancient Egypt were subjected to the first effort to isolate ancient DNA19, direct genome sequencing has remained elusive because of the challenging regional DNA preservation conditions. So far, only three individuals from Abusir el-Meleq (Fig.â1a) have yielded nuclear DNA, all post-dating the emergence of Dynastic Egypt by thousands of years (from 787âcal. bce to 23âcal. ce)20. Moreover, these are not complete genome sequences but are limited to approximately 90,000â400,000 target-enriched genotypes. Over the millennia spanning the Dynastic Period, Egypt witnessed several wide-ranging wars, occupation by foreign rulers and dramatic episodes of internal political collapse (First, Second and Third Intermediate periods)21. Together, these processes may have substantially altered or reshaped the overall genetic structure and ancestry of the Egyptian population. Here we present a whole-genome sequence of an ancient Egyptian individual (2.02à coverage; Supplementary Tableâ1), recovered from a necropolis at Nuwayrat (ÙÙÙØ±Ø§Øª, Nuerat; Fig.â1a).
a, Geographic location of the Nuwayrat cemetery (red dot) and the previously sequenced Third Intermediate Period individuals from Abusir el-Meleq20 (purple diamond). b, Pottery vessel in which the Nuwayrat individual was discovered. c, Cervical vertebrae belonging to the Nuwayrat individual with evidence of extreme osteoarthritis (arrows). d, Summary of genomic and radiocarbon data. See the detailed breakdown of the quality indicators and calibration results for the three replicates and the combined date in Supplementary Tableâ2. e, Egyptian civilization timeline and radiocarbon date of the Nuwayrat and Third Intermediate Period individuals. mtDNA, mitochondrial DNA. Photo in b reproduced courtesy of the Garstang Museum of Archaeology, University of Liverpool.
The Nuwayrat individual
Nuwayrat is located near the village of Beni Hasan, 265âkm south of Cairo (Fig.â1a). Radiocarbon dating of the skeletal remains showed that the Nuwayrat individual died between 2855 and 2570âcal. bce (95.4% probability; Supplementary Information sectionâ1 and Supplementary Tableâ2), which overlaps with the Early Dynastic and Old Kingdom periods (Fig.â1e). This result supports the initial archaeological assessments that material culture and funerary practices at the site were consistent with those of the Third and Fourth Dynasties of the Old Kingdom1,22. The body was placed in a large pottery vessel inside a rock-cut tomb (Fig.â1b and Extended Data Fig.â1). This treatment would have ordinarily been reserved for individuals of a higher social class relative to others at the site23, as observed elsewhere during the Early Dynastic Period and at the Old Kingdom royal cemeteries near the city of Memphis (Supplementary Information sectionâ1).
Although acknowledging known limitations in predicting phenotypic traits in understudied populations24, the Nuwayrat individual is predicted to have had brown eyes, brown hair and skin pigmentation ranging from dark to black skin, with a lower probability of intermediate skin colour (Methods and Supplementary Tableâ10). The individual was genetically male (XY sex chromosomes; Supplementary Tableâ1), consistent with the expression of standard skeletal features25 (Methods). Our further osteological examination revealed that he would have stood 157.4â160.5âcm tall26. He lived to an advanced age for the time (approximately 44â64âyears; the upper end of this range is the most probable25,27), as evidenced by his heavily worn teeth and age-related osteoarthritis in most joints and vertebrae, in some cases severe (Fig.â1c). This and various activity-induced musculoskeletal indicators of stress revealed that he experienced an extended period of physical labour, seemingly in contrast to his high-status tomb burial. The patterns of osteoarthritis and stress indicators further imply the form of physical activity that he routinely engaged in, which some researchers maintain can provide clues concerning occupation28,29. In this case, although circumstantial, they are not inconsistent with those of a potter, as depicted in ancient Egyptian imagery. Estimates of biological affinity based on dental morphological features and cranial measurements parallel the genomic results (below). More detailed information about the Nuwayrat individual is presented in Supplementary Information sectionâ2, with a facial depiction in Supplementary Information sectionâ3 (Extended Data Fig.â2).
Multi-isotope analysis (δ13C, δ15N, δ18O and 87Sr/86Sr) was conducted on dental enamel and dental collagen from the lower-left second molar to determine his childhood diet and geographic origin (Supplementary Information sectionâ5). All results are consistent with having grown up in the hot, dry climate of the Nile Valley (δ18Ocarb VSMOWâ=â23.6â°, where VSMOW indicates Vienna Standard Mean Ocean Water; 87Sr/86Srâ=â0.707888)30,31,32 and consuming an omnivorous diet based on terrestrial animal protein and plants, such as wheat and barley (δ13CVPDBâ=ââ19.6â°, where VPDB indicates Vienna Pee Dee Belemnite; δ15NAIRâ=â12.3â°)33, typical for Egyptians until the Coptic period34. An elevated δ15N value, frequently observed in isotope studies of ancient Egyptians, may have been caused by the arid environment35,36,37, eating foods raised on manured fields38 and/or inclusion of Nile fish in the diet34.
Ancient genome sequencing
Seven cementum-enriched DNA extracts were prepared into single-stranded DNA sequencing libraries39 and screened on an Illumina platform. Five of these libraries showed degradation patterns expected for ancient DNA with evidence of elevated rates of cytosine-to-thymine substitutions at the first base of the sequence alignments (more than 30%) and low contamination estimates for both nuclear and mitochondrial DNA (0â3%; Fig.â1d); the two remaining libraries were discarded because of elevated contamination estimates (Extended Data Fig.â3 and Supplementary Tableâ1 (Y11473 and Y11476)). The two libraries (Y11475 and Y11477) with the highest proportion of reads mapping to the reference human genome (6.0% and 3.2% of all sequences) were further sequenced on Illumina NovaSeq 6000 and NovaSeq X platforms to generate a total of 8.3âbillion 2âÃâ100 sequence read pairs.
We merged the Nuwayrat genome (NUE001) with those of 3,233 present-day individuals that were either whole-genome sequenced or genotyped on the Human Origins Array and 805 ancient individuals with either whole-genome or 1.2âmillion single nucleotide polymorphism (SNP) capture data. We first projected the Nuwayrat genome in a principal component analysis (PCA) using a population panel representing present-day worldwide genetic diversity. The Nuwayrat individual is genetically most similar to present-day people in North Africa and West Asia (Fig.â2a and Extended Data Fig.â4), which is consistent with the results from ADMIXTURE clustering40 (Extended Data Fig.â5). The mitochondrial DNA (haplogroup I/N1a1b2) and chromosome Y (haplogroup E1b1b1b2b~) haplogroups of the Nuwayrat individual are most common in present-day North African and West Asian groups (Supplementary Tableâ4), consistent with the whole-genome affinities. Furthermore, the Nuwayrat genome had no extended runs of homozygosity above 4âcM, indicating no recent consanguinity in his ancestry41.
a, PCA of present-day worldwide populations, with projection of the Old Kingdom Egyptian genome from Nuwayrat (NUE001). b, PCA of present-day populations from North Africa and West Asia, with projection of ancient North African and West Asian genomes. c, ADMIXTURE clustering analysis of the Old Kingdom Egyptian genome in the context of ancient African, West Asian and present-day Egyptian genomes at Kâ=â14Â ancestral populations. Only a subset of genomes corresponding to those used in the qpAdm analysis (Fig.â3) are displayed. The full output of the ADMIXTURE analysis is shown in Extended Data Figs.â4 and 5.
Ancestry of the Nuwayrat genome
We used the qpAdm42 framework to model the genetic ancestry components that best represent the Nuwayrat genome using a fully rotating model competition approach, in which a set of candidate populations are iteratively used as sources to construct one-source, two-source and three-source population ancestry models, whereas the remaining candidates are set as outgroup (right) populations43,44 (Supplementary Information sectionâ4). We used a set of 13 populations from Neolithic and Chalcolithic West Asia, North Africa and the North Mediterranean region that predate the Nuwayrat individual as potential sources (Fig.â3c,d and Methods). No single-source model fitted the data (maximum P value observedâ=â2.39âÃâ10â6 for a model with Morocco_MN as a single source). Instead, a single two-source model (Pâ=â0.12) met the significance criteria (Pâ>â0.05), which consisted of a mixture of 77.6â±â3.8% ancestry represented by genomes from the Middle Neolithic Moroccan site of Skhirat-Rouazi dated to 4780â4230âbce (Morocco_MN), and the remainder most closely related to genomes from 9000 to 8000âbce Neolithic Mesopotamia (22.4â±â3.8%; Fig.â3a). In addition, two three-source models showed similar ancestry proportions but with a minor contribution of a third ancestry component represented by genomes from the Neolithic/Chalcolithic Levant (4.7â±â8.2% at Pâ=â0.11 and 1.1â±â8.7% at Pâ=â0.07, respectively; Supplementary Tableâ6).
a, Ancestry proportion of Nuwayrat and comparative Bronze Age Levantine and Anatolian genomes for the best-fit full model (qpAdm). Alternative same-rank models passing Pâ>â0.05 with a lower P value are shown in Supplementary Tableâ6. Values represent best-fitting model estimatesâ±â1 standard error. This analysis was conducted over nâ=â537,543 SNPs for NUE001, nâ=â518,994 SNPs for Anatolia_BA, nâ=â554,622 SNPs for Ainâ Ghazal, nâ=â493,274 SNPs for Ashkelon, nâ=â578,969 SNPs for Baqâah, nâ=â574,452 SNPs for Ebla, nâ=â552,505 SNPs for Hazor and nâ=â513,561 SNPs for Tel Shaddud. b, Estimation of the best source responsible for deviation of the Nuwayrat genome from the Middle Neolithic Morocco group as f4(NUE001, Morocco_MN; Mesopotamia_N, JuÇʼhoan). Symbols represent f4 valueâ±â1 standard error. *Z scoreâ>â2; **Z scoreâ>â3. The analysis was conducted over 280,544 SNPs. c,d, Map (c) and timeline (d) of rotating sources used to infer the proximal ancestry of the Nuwayrat and Bronze Age Levantine and Anatolian genomes (shown in a), with the dark-yellow area corresponding to the Fertile Crescent. The timeline in d is based on Egyptian cultural transition dates.
All accepted qpAdm models showed the presence of ancestry related to Middle Neolithic Morocco in the Nuwayrat genome; therefore, our results could indicate shared ancestry across North Africa during this period and, consequently, that local Egyptian Neolithic populations contributed genetically to the Early Dynastic and Old Kingdom people, as indicated from material culture7,8,10 and bioarchaeological analyses14,15. However, because the genomes from Middle Neolithic Morocco have previously been modelled to comprise both Iberomaurusian-like and Levantine Neolithic ancestry components45, which we corroborated (Extended Data Fig.â6, Supplementary Information sectionâ4 and Supplementary Tableâ5), the affinity to Levantine Neolithic groups could reflect several migration events. To explore these alternative hypotheses in detail, further ancient DNA studies on pre-Bronze Age genomes from North Africa are required.
The second genetic ancestry component detected in the Nuwayrat individual is most closely related to Neolithic Mesopotamians, out of the potential sources included in the model competition (Methods). To further examine the putative affinity to Neolithic Mesopotamia, we computed a series of f4 statistics testing whether a set of groups share more derived alleles with Nuwayrat than with Middle Neolithic Morocco in the form f4(NUE001, Morocco_MN; X, Ju_hoan_North.DG); here X represents the rotating sources of the qpAdm model with the addition of Levantine Palaeolithic, Anatolian Palaeolithic and Bronze Age Levantine genomes. The statistic was maximized and statistically significant with Neolithic Mesopotamia as X (Z scoreâ=â3.2; Fig.â3b). The affinity is also seen in the statistic f4(NUE001, Morocco_MN; Mesopotamia_N, X), which is positive for all tested populations as X, consistent with an ancestry affinity between the individual from Nuwayrat and Neolithic Mesopotamia, with Z scoresâ>â2 for all, except Zagros and Caucasus groups and Chalcolithic and Bronze Age Levantine groups (Supplementary Tableâ9).
Although we caution that these results are based on a single Egyptian genome, they mirror another study that found evidence of gene flow from the Mesopotamian and Zagros regions into surrounding areas, including Anatolia, during the Neolithic2. Together with archaeological evidence for cultural exchange6,7, these findings open the possibility that wider cultural and demographic expansion originating in the Mesopotamian region reached both Egypt and Anatolia during this period. However, more recent migrations from the eastern Fertile Crescent during the Chalcolithic and Bronze Age further altered the Anatolian and Levantine genetic landscapes3,4,5. Related movements may have introduced the Mesopotamian-like ancestry more recently in Egypt. We tested this by applying the same full qpAdm model to target groups from the Bronze Age Anatolia and Levant (genomes from the Bronze Age Levant were grouped into eight archaeological sites3,4,5,46,47, of which all models for Megiddo and Yehud were rejected; Supplementary Tableâ6). Although we replicated previous findings that all Levantine Bronze Age groups trace 18.7â79.8% of their ancestry to Neolithic or Chalcolithic Levantine groups3,4,5,46,47, we also detected ancestry from Neolithic Mesopotamia at three sites (Ebla, Baqâah and Ashkelon), considering the best-fit models, in proportions (41.8â54.8%) exceeding those in the Nuwayrat genome (Fig.â3a and Supplementary Tableâ6). However, the initial full qpAdm model, extended to include the Bronze Age Levant as a potential source, can effectively be rejected for the Nuwayrat genome (Pâ=â0.013; Supplementary Information sectionâ4). Notably, the best model for the Nuwayrat genome fits worse when these groups are included as reference groups (Pâ=â0.021; Supplementary Information sectionâ4). This means that we cannot exclude the possibility that the Neolithic Mesopotamian-like ancestry in the Nuwayrat genome could have arrived by means of more recent unsampled intermediaries in the Levant.
Although the timing of the admixture event cannot be estimated directly (Supplementary Tableâ11 and Supplementary Noteâ4), this finding provides direct evidence of genetic ancestry related to the eastern Fertile Crescent in ancient Egypt. Archaeological evidence lends support to the Early Neolithic shared regional ancestry between Egypt and West Asia. Given its proximity, Egypt was one of the first external areas to adopt the Neolithic package that emerged across West Asia as early as the sixth millennium bce or before6,48,49, which could have corresponded with movements of people. This period is concomitant with the observed gene flow from Mesopotamia to Anatolia2, which may have expanded into Egypt as well. In support, a substantial change in odontometric and dental tissue proportions occurred approximately 6000âbce in the Nile Valley, with general continuity thereafter50. Along with marked temporal differences in subsistence (such as domesticated plants and greater sedentism) and material culture (such as the introduction of pottery), this is indicative of discontinuity between the Mesolithic (eighth to seventh millennium bce) and Neolithic populations50. Cultural exchange and trade then continued through the fourth millennium bce when Mesopotamian Late Uruk period features filtered into the Nile Valley during the later Predynastic Period7,8,9,51. Trade might have been routed through the Mediterranean and Red Seas rather than the Sinai Desert7,52. Such seaborne mobility could explain a scenario in which the source population did not come into contact with the Chalcolithic/Bronze Age Levantines. Our results indicate that this millennia-long process might not have only included cultural transmission but also migration and subsequent admixture.
Moreover, it is notable that both our qpAdm modelling and ADMIXTURE clustering excluded any substantial ancestry in the Nuwayrat genome related to the 4,500-year-old genome from Mota, Ethiopia or other individuals in central, eastern or southern Africa (Figs.â2 and 3 and Extended Data Fig.â5)53. Nevertheless, we found that the Nuwayrat genome fits as an equally good source as Levant Chalcolithic groups for the West Eurasian-related component of East African pastoralist genomes, but ancient DNA data are still missing for many putative source regions (Extended Data Fig.â7, Supplementary Information sectionâ4 and Supplementary Tableâ12)54,55.
Ancestry in later Egypt
The Nuwayrat genome extends the genetic record of ancient Egypt beyond previously published data from the Third Intermediate Period (787â544âbce; Fig.â1e). We modelled these latter individuals20 using qpAdm with putative sources from a set of nine populations from North Africa (including Nuwayrat), West Asia and Greece, who lived between the Old Kingdom and the Third Intermediate Period and also included genomes from the Middle Neolithic Morocco and Neolithic Mesopotamia (see Supplementary Information sectionâ4 for more models that tested the potential overfitting of these sources). We can reject all one-source models, including one with 100% continuity from Nuwayrat to the Third Intermediate Period (Pâ=â3.00âÃâ10â7). Two similar two-source models fit the data (Fig.â4a and Supplementary Tableâ7), differing only in whether the Nuwayrat or Middle Neolithic Moroccan individuals are one of the best-fit sources. In both models, the main source of ancestry is the Bronze Age Levant (for example, 64.5â±â5.6% in the model with Middle Neolithic Morocco; Pâ=â0.32; Supplementary Information sectionâ4). These results are consistent with the Third Intermediate Period genomes deriving part of their ancestry from local groups related to the Nuwayrat individual while evidencing a significant increase in Levantine ancestry.
a, Ancestry proportions of the Third Intermediate Period genomes for the best-fit model (qpAdm). Alternative two-source and three-source models passing Pâ>â0.05 are reported in Supplementary Tableâ7. This analysis was conducted over 290,262 SNPs. b, Ancestry proportions of the present-day Egyptian genomes for the best-fit model (qpAdm). For b, alternative two-source and three-source models passing Pâ>â0.05 are reported in Supplementary Tableâ8. This analysis was conducted over 767,305 SNPs. Values represent best-fitting model estimatesâ±â1 standard error (a,b). c,d, Map (c) and timeline (d) of rotating sources used to infer the ancestry of the two Third Intermediate Period and/or the present-day Egyptian genomes. The timeline in d is based on Egyptian cultural transition dates. BA, Bronze Age; Chl., Chalcolithic; Hist., historical period; IA, Iron Age; Neo., Neolithic.
Evidence of gene flow from the Levant by the time of the Third Intermediate Period could be linked to the proposed Bronze Age Canaanite expansion, starting at the end of the Middle Kingdom period. On the basis of archaeological findings, whether this was a gradual assimilation process56 or a rapid shift, such as the settlement of Hyksos rulers56,57, is still debated. Overall, this period also overlaps with the well-characterized Late Bronze Age collapse that witnessed rapid societal and economic upheaval across the Mediterranean region, leading to or being caused by widespread population movements58,59. However, the temporal and geographical limitations of the current genomic data do not allow firm conclusions to be drawn.
We next tested how present-day Egyptian ancestry could be traced to the Bronze Age populations living in North Africa, including the Nuwayrat individual, West Asia, Europe and sub-Saharan Africa, using qpAdm. Despite substantial heterogeneity, most present-day Egyptian genomes can be modelled as deriving their ancestry from five sources related to (1) Nuwayrat (32.1â74.7%); (2) Middle Neolithic Morocco (28.9â72.7%); (3) Bronze Age Levant (11.6â57.1%); (4) the 4,500-year-old individual from Ethiopia (âMotaâ) (7.4â56.0%); and (5) two approximately 230-year-old individuals from Congo (4.8â52.0%) (Fig.â4b and Supplementary Tableâ8). Thus, if tracing the ancestry of many present-day Egyptians in our study to the Bronze Age, much of it would be found in groups related to Nuwayrat or alternatively to sources best represented by Middle Neolithic Morocco from which approximately 80% of Nuwayratâs ancestry derives. The second most common ancestry component is related to the Bronze Age Levant, consistent with the ancestry detected in the Third Intermediate Period individuals. Bronze Age Caucasus ancestry is present in a fraction of the present-day Egyptians but is similar to the Bronze Age Levant ancestry60. Our models show a more recent arrival of East and West African ancestries in present-day Egyptians, which has also been previously suggested20 and dated to 27 generations ago using linkage disequilibrium-based admixture dating61. Moreover, we note that there is a substantial diversity in ancestry across Egypt; approximately 20% of the present-day Egyptian genomes included here did not fit the model described above.
Conclusions
Our results demonstrate the feasibility of ancient genome sequencing from the earliest stages of the Egyptian Dynastic civilization. One possible explanation for the successful whole-genome retrieval is the pot burial, which may have favoured a degree of DNA preservation not previously reported in Egypt. This contributes to the road map for future research to obtain ancient DNA from Egypt62. Although our analyses are limited to a single Egyptian individual who, on the basis of his relatively high-status burial, may not be representative of the general population, our results revealed ancestry links to earlier North African groups and populations of the eastern Fertile Crescent. Analogous links were indicated in our biological affinity analyses of dental traits and craniometrics of the Nuwayrat individual, as well as in previous morphological studies based on full samples. The genetic links with the eastern Fertile Crescent also mirror previously documented cultural diffusion (such as domesticated plants and animals, writing systems and the pottery wheel), opening up the possibility of some settlement of people in Egypt during one or more of these periods. The Nuwayrat genome also allowed us to investigate the Bronze Age roots of ancestry in later Egypt, highlighting the interplay between population movement and continuity in the region. Future whole-genome sequencing of DNA from more individuals will allow for a more detailed and nuanced understanding of ancient Egyptian civilization and its inhabitants.
Methods
Provenance and ethics
The human remains were excavated from the Nuwayrat necropolis near Beni Hasan, Egypt. They were donated between 1902 and 1904 by the Egyptian Antiquities Service to the members of the Beni Hasan excavation committee and subsequently donated to the Institute of Archaeology, University of Liverpool and exported under the John Garstang export permit. The human remains were then donated to the World Museum (previously the Liverpool City Museum) in 1950. Sampling permit was granted by the World Museum.
Ancient DNA extraction, library preparation and sequencing
Sampling and DNA extraction of seven permanent teeth belonging to an individual from Nuwayrat were carried out in dedicated ancient DNA facilities at Liverpool John Moores University. Library preparation and sequencing were carried out at The Francis Crick Institute (Supplementary Tableâ1). Before subsampling, the teeth were decontaminated by wiping with 1% sodium hypochlorite, followed by wiping with molecular biology grade water and ethanol. Approximately 44â66âmg of cementum-enriched powder was extracted from each tooth using a Dremel drill at the lowest possible rotations per minute (5,000ârpm).
DNA was extracted using 1âml of extraction buffer consisting of 0.45âml of 0.5âM EDTA (pHâ8.0) and 10âμl of 10âmgâmlâ1 proteinase K per 50âmg of bone powder. The mixture was incubated overnight (approximately 18âh) at 37â°C and purified on the High Pure Viral Nucleic Acid Large Volume Kit (Roche) using a binding buffer described in ref. 63 and QIAGEN buffer PE. DNA was eluted in approximately 100âμl of QIAGEN elution buffer.
Extracts were turned into single-stranded DNA libraries39 (without treatment to remove uracils), double-indexed64 and then underwent paired-end sequencing on a HiSeq 4000 to approximately seven million reads per library for initial screening (Supplementary Tableâ1). All samples were processed alongside negative lysate and extraction controls and positive and negative library controls. On the basis of the assessment of the initial sequencing results, two libraries were selected for extra rounds of deeper sequencing on the NovaSeq 6000 and NovaSeq X platforms, following the selection of fragments greater than 35âbp using polyacrylamide gel electrophoresis65 for the library built from the NUE001b5e1 extract (Supplementary Tableâ1), with a resulting total of 8.3 billion 2âÃâ100 sequence pairs.
Radiocarbon dating
New radiocarbon dating was generated for the individual that yielded DNA from Nuwayrat (NUE001) by Beta Analytic using accelerator mass spectrometry. We directly dated the upper-left third molar (NUE001b3) and lower-left first premolar (NUE001b5), both of which yielded DNA that was deep sequenced (Supplementary Tableâ1). The results are reported in Supplementary Tableâ2. The femur of this individual was previously radiocarbon dated66,67 (Supplementary Information section 1 and Supplementary Table 2). All dates were calibrated using OxCal v.4.4.4 (ref.â68) with atmospheric data in IntCal20 (ref.â69). We also combined the three independent dates using the R_Combine() function in OxCal70 (Supplementary Tableâ2). We rounded the calibrated dates outwards to 10âyears unless error terms were smaller than ±25âbp, in which case we rounded outwards to 5âyears71.
Isotope analysis
Dental collagen and enamel were extracted from the lower-left second molar. Dentine collagen was extracted for carbon (δ13C) and nitrogen (δ15N) isotope analysis following a modified Longin method72,73. Mass spectrometry was performed using a Flash 1112 series elemental analyser coupled with a Finnigan DELTA V Advantage (Thermo Fisher Scientific) using established protocols74. Analytical precision (1Ï) of the in-house calibrated standards74 were 0.08 and 0.07 for δ13C and δ15N, respectively.
For enamel, after surface abrasion, a slice (3.6âmm wide) was extracted, and all adhering dentine was removed. Two fragments were powdered, one of which was pre-ultrasonicated. A minimum of 3.0âmg was analysed for the oxygen isotope composition of enamel carbonate (δ18Oc). Samples were acidified for 5âmin with more than 100% ortho-phosphoric acid (density approximately 1.9 g cmâ3) at 70â°C and analysed in duplicate using a MAT 253 dual-inlet mass spectrometer (Thermo Fisher Scientific) coupled to a Kiel IV carbonate preparation device using established protocols74. Isotope values are reported as per mille (18O/16O) normalized to the Vienna Pee Dee Belemnite (VPDB) scale using an in-house carbonate standard (BCT63) calibrated against NBS19. The long-term reproducibility for δ18O BCT63 is ±0.04â° and ±0.03â° for δ13C (1Ï). The oxygen carbonate values (δ18OC VPDB) were converted to the Vienna Standard Mean Ocean Water (VSMOW) scale75 and phosphate (δ18OP VSMOW)76.
The remaining enamel fragment (56.3âmg) was cleaned in an ultrasonic bath, digested in 8âM HNO3 and heated overnight at 120â°C. Sr-Spec was used for strontium extraction, following the revised version of Font etâal.77. Once column-loaded in 1âml of 8âM HNO3, matrix elements were eluted in washes of 8âM HNO3, and samples were placed on a hotplate (120â°C) overnight, with a repeat pass following. The sample was redissolved in 2% HNO3, and the 87Sr/86S ratio was measured using a Neoma multi-collector inductively coupled plasma mass spectrometry with tandem mass spectrometry (MC-ICPâMS/MS, Thermo Fisher Scientific). Instrumental mass bias was corrected for using the exponential law and a normalization ratio of 8.375209 for 88Sr/86Sr (ref.â78). Residual krypton (Kr) and rubidium (87Rb) interferences were monitored and corrected using 84Kr and 86Kr (83Kr/84Krâ=â0.20175 and 83Kr/86Krâ=â0.66474; without normalization) and 85Rb (85Rb/87Rbâ=â2.5926), respectively. The accuracy of the method was assessed by measuring the EC-5 coral standard (87Sr/86Sr: 0.709171â±â0.000016 (2Ï; nâ=â14), consistent with the expected value for seawater). The data were also corrected against a National Institute of Standards and Technology Standard Reference Material 987 value of 0.710248 (ref.â79). The procedural blank was less than 75âpg of Sr, negligible relative to sample Sr.
Osteological analyses
Following element inventory, our determination of the Nuwayrat individualâs sex was based on standard morphological indicators across the skeleton (protocol in Buikstra and Ubelaker25). Ageing was estimated from the dentition, cranium and postcrania25,27,80,81,82,83,84. For stature, several approaches were used85,86,87, with the most likely estimate based on direct stature reconstruction of ancient Egyptians following ref. 26.
Biological affinity was assessed from two long-recognized methods: dental non-metric traits88 and craniometrics (for example, Howells89). First, the rASUDAS application was accessed (https://osteomics.com/rASUDAS2/)90. It used up to 32 crown and root traits for comparison with data from seven global population samples. Second, the craniometric approach used the CRANID program CR6bIND, with 29 measurements for comparison with a database of 74 premodern through recent global samples, including Late Dynastic Egyptians and ancient West Asians91.
Our recording and description of skeletal pathology, related primarily to age-related breakdown, follow accepted methods25,92,93. This and activity-induced musculoskeletal stress markers (details in previous studies28,29,94) were used to ascertain the level of physical activity. Although not without criticism95,96, they have been used to infer occupation by identifying common positions and movements in life. For that purpose, the latter were compared with illustrations of individuals engaged in a range of common jobs, as depicted on ancient Egyptian tomb walls and in statuary (Supplementary Information sectionâ2).
Facial reconstruction and depiction
Craniofacial analysis and facial reconstruction from skeletal remains were carried out using three-dimensional laser scan data of the skull (collected using an Artec Space Spider scanner), Touch X haptic device and Geomagic Freeform software97. Egyptian male data98 were used to estimate facial tissues at anatomical points across the skull surface. The muscles of the head and neck were imported from the Face Lab database and remodelled to fit the skull following anatomical guidelines99. Morphometric standards were used99,100 to estimate facial feature morphology, such as eye and nasal shape, lip and ear pattern and structural creases. A final facial depiction was produced using two-dimensional photo-editing software. It is important not to consider a facial depiction as a portrait or definitive image because it can only visualize the available information101. In this case, although DNA analysis indicated the most probable population of origin, there was no evidence in relation to skin colour and hair colour. Therefore, the facial depiction was produced in black and white without head hair or facial hair (Supplementary Information sectionâ3).
Bioinformatics data processing and authentication
Read alignment was performed following the pipeline in the study of Swali etâal.102. Samples were processed through the nf-core/eager v.2.3.3 pipeline103. First, adaptors were removed, paired-end reads were merged and bases with a quality below 20 were trimmed using AdapterRemoval v.2.3.1 (ref.â104) with âtrimns âtrimqualities âcollapse âminadapteroverlap 1 and âpreserve5p. Merged reads with a minimum length of 35âbp were mapped to the hs37d5 human reference genome with Burrows-Wheeler Aligner (BWA-0.7.17 aln)105 using -l 16500 -n 0.01 -o 2 -t 1 (ref.â106). Duplicate reads were removed using DeDup v.0.12.8 (ref.â107). Finally, we removed the alignments with mapping quality below 30 and containing indels.
We used mapDamage v.2 (ref.â108) to visualize the substitution distribution along the reads and evidence the presence of deaminated molecules typical of ancient DNA. Contamination was estimated using three different data sources: (1) genome-wide present-day contamination using the conditional substitution rate109 computed using PMDtools v.0.60 (ref.â110); (2) present-day mitochondrial DNA-based contamination using schmutzi (commit be61017)111; and (3) chromosome X contamination on libraries assigned as male using ANGSD v.0.933 (ref.â112), restricted to the non-recombining region of chromosome X. All the libraries from NUE001 show little to no contamination, except two libraries with sequencing identification numbers SKO719A1706 and SKO719A1709 (Extended Data Fig.â3 and Supplementary Tableâ1).
Molecular sexing
The biological sex of the sequenced individual was determined using the Ry parameter113, which is the ratio of the number of alignments to the Y chromosome (ny) to the total number of alignments to both sex chromosomes (nx + ny), Ry = ny/(nx + ny). All libraries are consistent with NUE001 being karyotypically male, except the results from the library SKO719A1706 consistent with being female, which is probably a result of contamination (Supplementary Tableâ1).
SNP calling in the Nuwayrat individual
We merged the sequencing data from five libraries from the Nuwayrat individual showing an absence of present-day human DNA contamination, yielding a total of 135,606,409 mapped unique reads of 44.63âbp on average, resulting in an average genome-wide coverage of 2.02Ã. We called pseudo-haploid positions using SAMTools v.1.9 mpileup114 with options -B -R -Q30 and SequenceTools 1.5 (ref.â115) with options ârandomHaploid and âsingleStrandMode. This approach leverages the single-stranded library preparation to computationally remove the effects of cytosine-deamination-derived sequence errors. Specifically, at C/T SNPs, it removes all bases that are aligned onto the forward strand; at G/A SNPs, it removes all bases on that aligned to the reverse strand. This allows for a confident pseudo-haploid genotyping even also at CpG context transitions, which are mostly not repaired by the uracil-DNA glycosylase (UDG) treatment owing to methylation116.
Uniparental marker determination
We obtained the mitochondrial DNA consensus of the Nuwayrat individual from endogenous reads, removing the bases with quality below 20 (-q 20) using schmutzi111. The mitochondrial haplogroup was assigned using Haplogrep 3 (ref.â117).
The chromosome Y haplogroup was obtained using pathPhynder118 with the parameter -m âno-filterâ, on the basis of approximately 120,000 SNPs extracted from worldwide present-day and ancient male chromosome Y variation and the International Society of Genetic Genealogy v.15.73 (http://www.isogg.org).
Comparison dataset
We merged the genome of the Nuwayrat individual with a comparison dataset of 977 ancient individuals2,3,4,5,20,43,45,46,47,53,54,55,60,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160 and 4,040 modern individuals43,46,122,141,158,161,162,163,164,165,166,167,168,169 genotyped on either the Human Origins array169 (âHuman Originsâ dataset) or the 1.2âmillion SNP array (â1240kâ dataset)139 (Supplementary Tableâ3). Most genotypes were directly accessed from the Allen Ancient DNA Resource v.54.1 (ref.â170). We added nine ancient genomes from Morocco45 and 13 ancient genomes from Mesopotamia120 from raw mapped Binary Alignment Map (BAM) files processed following the above-mentioned bioinformatic pipeline, with two modifications: (1) for the double-stranded UDG-treated genomes from ref. 45, we trimmed the first and last three bases of the reads and then called pseudo-haploid genotypes at both transition and transversion sites; and (2) for the non-UDG-treated genomes from ref. 120, we called pseudo-haploid genotypes at transversion sites only. We included 100 present-day Egyptian genomes from ref. 164 in both datasets. Individuals related up to the second degree, as detected in previous studies, were excluded.
Principal component analysis
We computed two PCA on present-day individuals from the âHuman Originsâ dataset using 593,124 substitutions through SMARTPCA (eigensoft v.6.1.4)169. For the first analysis, we kept 3,233 individuals from across the world and projected NUE001 on the resulting components. For the second PCA, we kept 722 present-day individuals from North Africa, West Asia and the Caucasus and projected NUE001 together with 781 ancient genomes from North Africa, West Asia and the Caucasus. Both analyses used transversions only (111,208 SNPs).
ADMIXTURE clustering
We used a model-based clustering approach from the program ADMIXTURE v.1.2 (ref.â40) to estimate the ancestry components from genomes in the âHuman Originsâ dataset. All genomes were transformed into pseudo-haploid sequences, and transitions were removed. The remaining 111,208 positions were subsequently pruned for SNPs in strong linkage disequilibrium using PLINK v.1.9 (ref.â171), with the parameter âindep-pairwise 200 25 0.4 to yield a final set of 71,202 transversion SNPs. ADMIXTURE was run with cross-validation enabled using --cv flag for all ancestral population numbers from Kâ=â3 to Kâ=â20.
Runs of homozygosity
The presence and length of runs of homozygosity greater than 4âcM in the Nuwayrat genome were estimated using hapROH v.0.64 (ref.â41) on the 1.2âmillion SNP set of sites.
qpAdm modelling
For all qpAdm modelling in this study, we estimated the ancestry proportions as a mixture of a set of left (source) rotating populations differentially related to a set of right (outgroup) populations using ADMIXTOOLS 2 (ref.â42) qpadm_rotating() with the option maxmissâ=â0.1, removing genotypes missing in more than 10% of populations. We restricted the analysis to genomes with both transitions and transversions (half/plus UDG-treated libraries or single-stranded libraries called using SequenceTools115 --singleStrandMode), removing CpG sites, to increase the robustness of the models. We considered only models with three or less sources. We restricted the fixed set of outgroup to populations distantly related to any left populations and with genomes greater than or equal to 2Ã: Ju_hoan_North.DG, Ethiopia_4500BP.SG, Latvia_HG_UDG, USA_Ancient_Beringian.SG, Vanuatu_400BP_UDG, Japan_HG_Jomon_UDG and China_NEastAsia_Coastal_EN_UDG. This analysis was conducted on the 1240k dataset. These parameters are always true unless otherwise stated.
We ranked the non-rejected models first on the basis of the minimal number of source populations, assuming that a fewer number of source populations is more parsimonious. Then, if several models with the same number of sources are not rejected, we considered the P value, given that the number of SNPs in the rotating models are nearly equal (10% missingness allowed between populations). Supplementary Information sectionâ4 details all models tested.
Nuwayrat genome ancestry modelling
We first estimated the Nuwayrat genome (NUE001) and contemporary North African and West Asian populations (Levant_BA (also for each of the eight archaeological sites separately), Anatolia_BA and Morocco_MN) ancestry proportions as a combination of distal Neolithic populations from North Africa and West Asia (Morocco_Epipaleolithic, Anatolia_Neolithic, Levant_Neolithic, Zagros_Neolithic and Caucasus_Neolithic). This analysis was carried out on 433,280â558,848 SNPs. Then, we estimated NUE001, Bronze Age Levant (also for each of the eight archaeological sites separately) and Bronze Age Anatolia ancestry components, adding more proximal Neolithic and Chalcolithic North African and West Asian populations as potential sources (Morocco_EN_ktg, Morocco_MN, Anatolia_Neolithic, Anatolia_Chalcolithic, Levant_Neolithic, Levant_Chalcolithic, Zagros_Neolithic, Zagros_Chalcolithic, Mesopotamia_Neolithic, Caucasus_Neolithic and Caucasus_Chalcolithic) as well as two Neolithic Europeans: Spain_EN and Greece_Neolithic, referred to as the full qpAdm model. This analysis was conducted over 474,731â578,969 SNPs.
Third Intermediate Period ancestry modelling
We estimated the ancestry proportions of the two Third Intermediate Period Egyptians20 using North African and West Asian populations who lived between the Old Kingdom and Third Intermediate periods as potential sources (NUE001, Anatolia_BA, Levant_BA, Iran_BA and Caucasus_BA), as well as a Bronze Age Greek population (Greece_Minoan). We also added Morocco_MN and Mesopotamia_N to test whether the Third Intermediate Period Egyptians share a closer ancestry with NUE001 or a source more related to one of these two ancestries present in NUE001. This analysis was conducted on 290,262 SNPs.
Present-day Egyptian genome ancestry modelling
We directly estimated the proportion of NUE001 ancestry in present-day Egyptians164 as a whole or each individual separately, as well as ancestries from North African (Morocco_MN), West Asian (Caucasus_BA, Iran_BA and Levant_BA) and European (Greece_Minoan) populations, as well as East and West Africa (Ethiopia_4500BP.SG and Congo_Kindoki_Protohistoric). For each region, we selected the representatives closest to NUE001âs lifetime. Anatolia_BA was removed from the list of West Asian groups because its inclusion led to a substantial drop-off of genomes having at least one model passing Pâ=â0.05. This analysis was conducted on 767,305 SNPs.
Ancient East African ancestry modelling
We estimated the ancestry proportion in ancient East African43,54,55,144 using both NUE001 and Levantine Chalcolithic genomes as competing sources for the Eurasian-like component. We used as potential left sources NUE001, Levant_Chalcolithic, Ethiopia_4500BP.SG, Dinka.DG, Congo_Kindoki_Protohistoric and South_Africa_2200BP.SG. For this model, the following fixed right groups were used: Chimp.REF, Latvia_HG_UDG, USA_Ancient_Beringian.SG, Vanuatu_400BP_UDG, Japan_HG_Jomon_UDG and China_NEastAsia_Coastal_EN_UDG. This analysis was conducted on 141,323â350,110 SNPs.
f 4 statistics
f4 statistics of the form f4(NUE001, Morocco_MN; X, Ju_hoan_North.DG) and f4(NUE001, Morocco_MN; Mesopotamia_N, X), X being the non-North African groups used in the full qpAdm model, Palaeolithic Levant or Palaeolithic Anatolia, were estimated to confirm the probable source of admixture in the Nuwayrat genome when compared with the Middle Neolithic Moroccan group. f4 statistics was computed using ADMIXTOOLS 2 (ref.â42) with the option maxmissâ=â0.1. We restricted the analysis to genomes with both transitions and transversions (half/plus UDG-treated libraries or single-stranded libraries called using SequenceTools115 --singleStrandMode). This analysis was conducted on the 1240k dataset on 280,544 SNPs.
Imputation
The genotypes of the Nuwayrat genome were imputed together with 200 ancient genomes from North Africa and West Asia associated with the Palaeolithic, Neolithic and Bronze Age culture (Supplementary Tableâ3). We restricted the imputation to whole-genome sequencing data greater than 0.5Ã coverage or 1240k SNP capture data greater than 2Ã coverage, following recommendations from Sousa da Mota etâal.172.
First, we called genotypes using bcftools v.1.19 (ref.â173) with the commands bcftools mpileup with parameters -I -E -a âFORMAT/DPâ --ignore-RG and bcftools call -Aim -C alleles. We then imputed the missing genotypes using Glimpse v.1.1.0 (ref.â174). First, we used GLIMPSE_chunk to split chromosomes into chunks of 2âMb and with a 200-kb buffer region. Second, imputation was performed with GLIMPSE_phase on the chunks with default parameters --burn 10, --main 10 and --pbwt-depth 2, with 1000 Genomes175 as the reference panel. We then ligated the imputed chunks with GLIMPSE_ligate.
To remove transitions caused by post-mortem damage before imputation, for the genomes generated with UDG treatment, we first hard-trimmed the first and last three base pairs of each read and removed CpG sites, and for the genome generated without UDG treatment, we removed all transition sites after SNP calling.
We finally restricted the imputed genotypes to those with genotype probability â¥0.99 and minor allele frequency â¥0.01 using the command bcftools filter -i âMAX(FORMAT/GP)>=0.99 && INFO/RAF>=0.01&&INFO/RAF<=0.99â --set-GTs â.â.
The imputed dataset was used for phenotype prediction (see below) and admixture dating using DATES (Supplementary Information sectionâ4 and Supplementary Tableâ11).
Phenotype prediction
The genotypes responsible for skin, hair and eye colour prediction were investigated using the HIrisPlex-S system176,177,178 using the imputed genotypes.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
All mapped sequence data generated for this project are available from the European Nucleotide Archive under the study accession no. PRJEB88328.
References
Garstang, J. in The Burial Customs of Ancient Egypt (ed. Garstang, J.) 26â30 (Archibald Constable, 1907).
Lazaridis, I. et al. Ancient DNA from Mesopotamia suggests distinct pre-pottery and pottery Neolithic migrations into Anatolia. Science 377, 982â987 (2022).
Skourtanioti, E. et al. Genomic history of Neolithic to Bronze Age Anatolia, Northern Levant, and Southern Caucasus. Cell 181, 1158â1175.e28 (2020).
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, 274â282 (2017).
Agranat-Tamir, L. et al. The genomic history of the Bronze Age Southern Levant. Cell 181, 1146â1157.e11 (2020).
Salvatori, S. & Usai, D. The neolithic and âpastoralismâ along the Nile: a dissenting view. J. World Prehist. 32, 251â285 (2019).
Wengrow, D. The Archaeology of Early Egypt: Social Transformations in North-East Africa, 10,000 to 2,650 BC (Cambridge Univ. Press, 2006).
Bard, K. A. in The Oxford History of Ancient Egypt (ed. Shaw, I.) 61â88 (Oxford Univ. Press, 2000).
Stevenson, A. in The Sumerian World (ed. Crawford, H.) 620â636 (Routledge, 2013).
Malek, J. in The Oxford History of Ancient Egypt (ed. Shaw, I.) 89â117 (Oxford Univ. Press, 2000).
Doherty, S. K. The Origins and Use of the Potterâs Wheel in Ancient Egypt (Archaeopress, 2015).
Keita, S. O. Y. Further studies of crania from ancient northern Africa: an analysis of crania from First Dynasty Egyptian tombs. Am. J. Phys. Anthropol. 87, 245â254 (1992).
Prowse, T. L. & Lovell, N. C. Concordance of cranial and dental morphological traits and evidence for endogamy in ancient Egypt. Am. J. Phys. Anthropol. 101, 237â246 (1996).
Irish, J. D. Who were the ancient Egyptians? Dental affinities among Neolithic through postdynastic peoples. Am. J. Phys. Anthropol. 129, 529â543 (2006).
Zakrzewski, S. R. in Egyptian Bioarchaeology: Humans, Animals, and the Environment (eds Ikram, S. et al.) 157â167 (Sidestone, 2015).
Dicke-Toupin, C. R. Population Continuity or Replacement at Ancient Lachish? (Fairbanks, 2012).
Irish, J. D. Diachronic and synchronic dental trait affinities of late and post-Pleistocene peoples from North Africa. Homo 49, 138â155 (1998).
Maaranen, N., Zakrzewski, S. & Schutkowski, H. Who were the Hyksos? Curr. Anthropol. 63, 66â69 (2022).
Pääbo, S. Molecular cloning of ancient Egyptian mummy DNA. Nature 314, 644â645 (1985).
Schuenemann, V. J. et al. Ancient Egyptian mummy genomes suggest an increase of sub-Saharan African ancestry in post-Roman periods. Nat. Commun. 8, 15694 (2017).
Shaw, I. The Oxford History of Ancient Egypt (Oxford Univ. Press, 2000).
De Meyer, M. et al. in Under the Potterâs Tree: Studies on Ancient Egypt Presented to Janine Bourriau Vol. 204 (eds Aston, D. et al.) 679â702 (Peeters, 2011).
Power, R. K. & Tristant, Y. From refuse to rebirth: repositioning the pot burial in the Egyptian archaeological record. Antiquity 90, 1474â1488 (2016).
Lasisi, T. & Shriver, M. D. Focus on African diversity confirms complexity of skin pigmentation genetics. Genome Biol. 19, 13 (2018).
Buikstra, J. E. & Ubelaker, D. U. Standards for Data Collection from Human Skeletal Remains (Arkansas Archeological Survey, 1994).
Raxter, M. H. et al. Stature estimation in ancient Egyptians: a new technique based on anatomical reconstruction of stature. Am. J. Phys. Anthropol. 136, 147â155 (2008).
IÅcan, M. Y., Loth, S. R. & Wright, R. K. Age estimation from the rib by phase analysis: white males. J. Forensic Sci. 29, 1094â1104 (1984).
Kennedy, K. A. R. in Reconstruction of Life from the Skeleton (eds Kennedy, K. A. R. & IÅcan, M. Y.) 129â160 (Alan R. Liss, 1989).
Capasso, L., Kenney, K. A. R. & Wilczak, C. A. Atlas of Occupational Markers on Human Remains (Edigratifal, 1998).
Buzon, M. R. & Simonetti, A. Strontium isotope (87Sr/86Sr) variability in the Nile Valley: identifying residential mobility during ancient Egyptian and Nubian sociopolitical changes in the New Kingdom and Napatan periods. Am. J. Phys. Anthropol. 151, 1â9 (2013).
Stantis, C., Nowell, G. M., Prell, S. & Schutkowski, H. Animal proxies to characterize the strontium biosphere in the northeastern Nile Delta. Bioarchaeology of the Near East 13, 1â13 (2019).
Touzeau, A. et al. Egyptian mummies record increasing aridity in the Nile Valley from 5500 to 1500 yr before present. Earth Planet. Sci. Lett. 375, 92â100 (2013).
Richards, M. P. in Archaeological Science: An Introduction (eds Richards, M. P. & Britton, K.) 125â144 (Cambridge Univ. Press, 2019).
Touzeau, A. et al. Diet of ancient Egyptians inferred from stable isotope systematics. J. Archaeol. Sci. 46, 114â124 (2014).
Macko, S. A. et al. Documenting the diet in ancient human populations through stable isotope analysis of hair. Philos. Trans. R. Soc. London, B: Biol. Sci. 354, 65â76 (1999).
Thompson, A. H., Richards, M. P., Shortland, A. & Zakrzewski, S. R. Isotopic palaeodiet studies of ancient Egyptian fauna and humans. J. Archaeol. Sci. 32, 451â463 (2005).
Thompson, A. H., Chaix, L. & Richards, M. P. Stable isotopes and diet at ancient Kerma, Upper Nubia (Sudan). J. Archaeol. Sci. 35, 376â387 (2008).
Poulallion, E. et al. High δ15N values in Predynastic Egyptian archeological remains: a potential indicator for localised soil fertilisation practices in extreme conditions. Preprint at bioRxiv https://doi.org/10.1101/2024.11.18.624066 (2024).
Gansauge, M.-T. & Meyer, M. Single-stranded DNA library preparation for the sequencing of ancient or damaged DNA. Nat. Protoc. 8, 737â748 (2013).
Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655â1664 (2009).
Ringbauer, H., Novembre, J. & Steinrücken, M. Parental relatedness through time revealed by runs of homozygosity in ancient DNA. Nat. Commun. 12, 5425 (2021).
Maier, R. et al. On the limits of fitting complex models of population history to f-statistics. eLife 12, e85492 (2023).
Skoglund, P. et al. Reconstructing prehistoric African population structure. Cell 171, 59â71.e21 (2017).
Yüncü, E. et al. False discovery rates of qpAdm-based screens for genetic admixture. Preprint at bioRxiv https://doi.org/10.1101/2023.04.25.538339 (2023).
Simões, L. G. et al. Northwest African Neolithic initiated by migrants from Iberia and Levant. Nature 618, 550â556 (2023).
Lazaridis, I. et al. Genomic insights into the origin of farming in the ancient Near East. Nature 536, 419â424 (2016).
Feldman, M. et al. Ancient DNA sheds light on the genetic origins of early Iron Age Philistines. Sci. Adv. 5, eaax0061 (2019).
Zvelebil, M. & Lillie, M. in Europeâs First Farmers (ed Price, T. D.) 57â92 (Cambridge Univ. Press, 2000).
Pinhasi, R. & Stock, J. T. Human Bioarchaeology of the Transition to Agriculture (Wiley, 2011).
Martin, N. et al. From hunter-gatherers to food producers: new dental insights into the Nile Valley population history (Late Paleolithic-Neolithic). Am. J. Biol. Anthropol. 184, e24948 (2024).
Stevenson, A. The Egyptian Predynastic and state formation. J. Archaeol. Res. 24, 421â468 (2016).
Redford, D. B. Egypt, Canaan, and Israel in Ancient Times (Princeton Univ. Press, 1992).
Llorente, M. G. et al. Ancient Ethiopian genome reveals extensive Eurasian admixture in Eastern Africa. Science 350, 820â822 (2015).
Prendergast, M. E. et al. Ancient DNA reveals a multistep spread of the first herders into sub-Saharan Africa. Science 365, eaaw6275 (2019).
Wang, K. et al. Ancient genomes reveal complex patterns of population movement, interaction, and replacement in sub-Saharan Africa. Sci. Adv. 6, eaaz0183 (2020).
Bourriau, J. in The Oxford History of Ancient Egypt (ed. Shaw, I.) 172â206 (Oxford Univ. Press, 2000).
Ryholt, K. S. B. & Bülow-Jacobsen, A. The Political Situation in Egypt During the Second Intermediate Period, C. 1800-1550 B.C. (Museum Tusculanum, 1997).
Weiss, B. The decline of Late Bronze Age civilization as a possible response to climatic change. Clim. Change 4, 173â198 (1982).
Ward, W. A., Joukowsky, M. S. & à ström, P. The Crisis Years: The 12th Century B.C.: From Beyond the Danube to the Tigris (Kendall Hunt, 1992).
Harney, Ã. et al. Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation. Nat. Commun. 9, 3336 (2018).
Salter-Townshend, M. & Myers, S. Fine-scale inference of ancestry segments without prior knowledge of admixing groups. Genetics 212, 869â889 (2019).
Elmonem, M. A. et al. The Egypt Genome Project. Nat. Genet. 56, 1035â1037 (2024).
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, 15758â15763 (2013).
Kircher, M., Sawyer, S. & Meyer, M. Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform. Nucleic Acids Res. 40, e3 (2012).
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, 2279â2300 (2020).
Dee, M. C14 data pottery coffin burial excavated by Garstang in Nuwayrat (World Museum, Liverpool, UK, 2016).
Vanthuyne, B. Early Old Kingdom Rock Circle Cemeteries in the 15th and 16th Nomes of Upper Egypt. A Socio-archaeological Investigation of the Cemeteries in Dayr al-BarshÄ, Dayr AbÅ« Ḥinnis, BenÄ« Ḥasan al-ShurÅ«q and NuwayrÄt. PhD thesis, KU Leuven (2017).
Bronk Ramsey, C. Oxcal v.4.4.4 calibration program (2021); https://c14.arch.ox.ac.uk/oxcal.html.
Reimer, P. J. et al. The IntCal20 Northern Hemisphere radiocarbon age calibration curve (0â55 cal kBP). Radiocarbon 62, 725â757 (2020).
Ramsey, C. B. Bayesian analysis of radiocarbon dates. Radiocarbon 51, 337â360 (2009).
Bayliss, A. & Marshall, P. Radiocarbon Dating and Chronological Modelling: Guidelines and Best Practice (Historical Association, 2022).
Brown, T. A., Nelson, D. E., Vogel, J. S. & Southon, J. R. Improved collagen extraction by modified Longin method. Radiocarbon 30, 171â177 (1988).
Longin, R. New method of collagen extraction for radiocarbon dating. Nature 230, 241â242 (1971).
Scorrer, J. et al. Diversity aboard a Tudor warship: investigating the origins of the Mary Rose crew using multi-isotope analysis. R. Soc. Open Sci. 8, 202106 (2021).
Coplen, T. B. Normalization of oxygen and hydrogen isotope data. Chem. Geol. 72, 293â297 (1988).
Chenery, C. A., Pashley, V., Lamb, A. L., Sloane, H. J. & Evans, J. A. The oxygen isotope relationship between the phosphate and structural carbonate fractions of human bioapatite. Rapid Commun. Mass Spectrom. 26, 309â319 (2012).
Font, L., Nowell, G. M., Graham Pearson, D., Ottley, C. J. & Willis, S. G. Sr isotope analysis of bird feathers by TIMS: a tool to trace bird migration paths and breeding sites. J. Anal. At. Spectrom. 22, 513 (2007).
Nier, A. O. The isotopic constitution of strontium, barium, bismuth, thallium and mercury. Phys. Rev. 54, 275â278 (1938).
Avanzinelli, R., Conticelli, S. & Francalanci, L. High precision Sr, Nd, and Pb isotopic analyses using the new generation Thermal Ionisation Mass Spectrometer ThermoFinnigan Triton-Ti®. Periodico di Mineralogia 74, 147â166 (2015).
IÅcan, M. Y., Loth, S. R. & Wright, R. K. Age estimation from the rib by phase analysis: white females. J. Forensic Sci. 30, 853â863 (1985).
IÅcan, M. Y. & Loth, S. R. Determination of age from the sternal rib in white males: a test of the phase method. J. Forensic Sci. 31, 122â132 (1986).
Meindl, R. S. & Lovejoy, C. O. Ectocranial suture closure: a revised method for the determination of skeletal age at death based on the lateral-anterior sutures. Am. J. Phys. Anthropol. 68, 57â66 (1985).
Lovejoy, C. O., Meindl, R. S., Pryzbeck, T. R. & Mensforth, R. P. Chronological metamorphosis of the auricular surface of the ilium: a new method for the determination of adult skeletal age at death. Am. J. Phys. Anthropol. 68, 15â28 (1985).
Brooks, S. & Suchey, J. M. Skeletal age determination based on the os pubis: a comparison of the Acsádi-Nemeskéri and Suchey-Brooks methods. Hum. Evol. 5, 227â238 (1990).
Trotter, M. & Gleser, G. C. Estimation of stature from long bones of American whites and Negroes. Am. J. Phys. Anthropol. 10, 463â514 (1952).
Robins, G. & Shute, C. C. D. Predynastic Egyptian stature and physical proportions. Hum. Evol. 1, 313â324 (1986).
Bass, W. M. Human Osteology: A Laboratory and Field Manual (Missouri Archaeological Society, 2006).
Richard Scott, G. & Irish, J. D. Human Tooth Crown and Root Morphology (Cambridge Univ. Press, 2017).
Howells, W. W. Skull Shapes and the Map: Craniometric Analyses in the Dispersion of Modern Homo, Vol. 79 (Harvard Univ. Press, 1989) .
Scott, G. R. et al. rASUDAS: a new web-based application for estimating ancestry from tooth morphology. Forensic Anthropol. 1, 18â31 (2018).
Wright, R. Guide to Using the CRANID Programs Cr6bInd: For Linear and Nearest Neighbours Discriminant Analysis (2012); http://www.scribd.com/document/324417767/CRANID6b-ManuaL-1-pdf
Ortner, D. J. & Putschar, W. Identification of Paleopathological Conditions in Human Skeletal Remains (Smithsonian Institution, 1985).
Aufderheide, A. C. & RodrÃguez-MartÃn, C. The Cambridge Encyclopedia of Human Paleopathology (Cambridge Univ. Press, 1998).
Hawkey, D. E. & Merbs, C. F. Activityâinduced musculoskeletal stress markers (MSM) and subsistence strategy changes among ancient Hudson Bay Eskimos. Int. J. Osteoarchaeol. 5, 324â338 (1995).
Alves-Cardoso, F. & Assis, S. Exploring âwear and tearâ of joints and âmuscle functionâ assumptions in skeletons with known occupation at death. Am. J. Phys. Anthropol. 175, 689â700 (2021).
Wallace, I. J. et al. Experimental evidence that physical activity inhibits osteoarthritis: implications for inferring activity patterns from osteoarthritis in archeological human skeletons. Am. J. Biol. Anthropol. 177, 223â231 (2022).
Wilkinson, C. M. & Mahoney, G. in Craniofacial Identification (eds Wilkinson, C. M. & Rynn, C.) 222â237 (Cambridge Univ. Press, 2012).
El-Mehallawi, I. H. & Soliman, E. M. Ultrasonic assessment of facial soft tissue thicknesses in adult Egyptians. Forensic Sci. Int. 117, 99â107 (2001).
Wilkinson, C. M. Facial reconstructionâanatomical art or artistic anatomy? J. Anat. 216, 235â250 (2010).
Rynn, C., Balueva, T. & Veselovskaya, E. in Craniofacial Identification (eds Wilkinson, C. M. & Rynn, C.) 193â202 (Cambridge Univ. Press, 2012).
Wilkinson, C. M. Cognitive bias and facial depiction from skeletal remains. Bioarchaeology Int. 4, 1â14 (2021).
Swali, P. et al. Yersinia pestis genomes reveal plague in Britain 4000 years ago. Nat. Commun. 14, 2930 (2023).
Fellows Yates, J. A. et al. Reproducible, portable, and efficient ancient genome reconstruction with nf-core/eager. PeerJ 9, e10947 (2021).
Schubert, M., Lindgreen, S. & Orlando, L. AdapterRemoval v2: rapid adapter trimming, identification, and read merging. BMC Res. Notes 9, 88 (2016).
Li, H. & Durbin, R. Fast and accurate long-read alignment with BurrowsâWheeler transform. Bioinformatics 26, 589â595 (2010).
Meyer, M. et al. A high-coverage genome sequence from an archaic Denisovan individual. Science 338, 222â226 (2012).
Peltzer, A. et al. EAGER: efficient ancient genome reconstruction. Genome Biol. 17, 60 (2016).
Jónsson, H., Ginolhac, A., Schubert, M., Johnson, P. L. F. & Orlando, L. mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters. Bioinformatics 29, 1682â1684 (2013).
Meyer, M. et al. Nuclear DNA sequences from the Middle Pleistocene Sima de los Huesos hominins. Nature 531, 504â507 (2016).
Skoglund, P. et al. Separating endogenous ancient DNA from modern day contamination in a Siberian Neandertal. Proc. Natl Acad. Sci. USA 111, 2229â2234 (2014).
Renaud, G., Slon, V., Duggan, A. T. & Kelso, J. Schmutzi: estimation of contamination and endogenous mitochondrial consensus calling for ancient DNA. Genome Biol. 16, 224 (2015).
Korneliussen, T. S., Albrechtsen, A. & Nielsen, R. ANGSD: analysis of next generation sequencing data. BMC Bioinf. 15, 356 (2014).
Skoglund, P., StorÃ¥, J., Götherström, A. & Jakobsson, M. Accurate sex identification of ancient human remains using DNA shotgun sequencing. J. Archaeol. Sci. 40, 4477â4482 (2013).
Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078â2079 (2009).
Schiffels, S. SequenceTool. https://github.com/stschiff/sequenceTools (2022).
Briggs, A. W. et al. Removal of deaminated cytosines and detection of in vivo methylation in ancient DNA. Nucleic Acids Res. 38, e87âe87 (2010).
Schönherr, S., Weissensteiner, H., Kronenberg, F. & Forer, L. Haplogrep3âan interactive haplogroup classification and analysis platform. Nucleic Acids Res. 51, W263âW268 (2023).
Martiniano, R., De Sanctis, B., Hallast, P. & Durbin, R. Placing ancient DNA sequences into reference phylogenies. Mol. Biol. Evol. 39, msac017 (2022).
Allentoft, M. E. et al. Population genomics of Bronze Age Eurasia. Nature 522, 167â172 (2015).
AltınıÅık, N. E. et al. A genomic snapshot of demographic and cultural dynamism in Upper Mesopotamia during the Neolithic Transition. Sci. Adv. 8, eabo3609 (2022).
Antonio, M. L. et al. Ancient Rome: a genetic crossroads of Europe and the Mediterranean. Science 366, 708â714 (2019).
Broushaki, F. et al. Early Neolithic genomes from the eastern Fertile Crescent. Science 353, 499â503 (2016).
Clemente, F. et al. The genomic history of the Aegean palatial civilizations. Cell 184, 2565â2586.e21 (2021).
de Barros Damgaard, P. et al. The first horse herders and the impact of early Bronze Age steppe expansions into Asia. Science 360, eaar7711 (2018).
Damgaard, P. et al. 137 ancient human genomes from across the Eurasian steppes. Nature 557, 369â374 (2018).
Feldman, M. et al. Late Pleistocene human genome suggests a local origin for the first farmers of central Anatolia. Nat. Commun. 10, 1218 (2019).
Fregel, R. et al. Ancient genomes from North Africa evidence prehistoric migrations to the Maghreb from both the Levant and Europe. Proc. Natl Acad. Sci. USA 115, 6774â6779 (2018).
Fu, Q. et al. Genome sequence of a 45,000-year-old modern human from western Siberia. Nature 514, 445â449 (2014).
Fu, Q. et al. The genetic history of Ice Age Europe. Nature 534, 200â205 (2016).
Gokhman, D. et al. Differential DNA methylation of vocal and facial anatomy genes in modern humans. Nat. Commun. 11, 1189 (2020).
Haber, M. et al. A transient pulse of genetic admixture from the crusaders in the near east identified from ancient genome sequences. Am. J. Hum. Genet. 104, 977â984 (2019).
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, 149â157 (2020).
Hajdinjak, M. et al. Initial Upper Palaeolithic humans in Europe had recent Neanderthal ancestry. Nature 592, 253â257 (2021).
Jones, E. R. et al. Upper Palaeolithic genomes reveal deep roots of modern Eurasians. Nat. Commun. 6, 8912 (2015).
Kılınç, G. M. et al. The demographic development of the first farmers in Anatolia. Curr. Biol. 26, 2659â2666 (2016).
Lazaridis, I. et al. A genetic probe into the ancient and medieval history of Southern Europe and West Asia. Science 377, 940â951 (2022).
Lazaridis, I. et al. The genetic history of the Southern Arc: a bridge between West Asia and Europe. Science 377, eabm4247 (2022).
Lazaridis, I. et al. Genetic origins of the Minoans and Mycenaeans. Nature 548, 214â218 (2017).
Mathieson, I. et al. Genome-wide patterns of selection in 230 ancient Eurasians. Nature 528, 499â503 (2015).
Narasimhan, V. M. et al. The formation of human populations in South and Central Asia. Science 365, eaat7487 (2019).
Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature 513, 409â413 (2014).
Lipson, M. et al. Parallel palaeogenomic transects reveal complex genetic history of early European farmers. Nature 551, 368â372 (2017).
Lipson, M. et al. Ancient West African foragers in the context of African population history. Nature 577, 665â670 (2020).
Lipson, M. et al. Ancient DNA and deep population structure in sub-Saharan African foragers. Nature 603, 290â296 (2022).
Mathieson, I. et al. The genomic history of southeastern Europe. Nature 555, 197â203 (2018).
McColl, H. et al. The prehistoric peopling of Southeast Asia. Science 361, 88â92 (2018).
Omrak, A. et al. Genomic evidence establishes Anatolia as the source of the European Neolithic gene pool. Curr. Biol. 26, 270â275 (2016).
Patterson, N. et al. Large-scale migration into Britain during the Middle to Late Bronze Age. Nature 601, 588â594 (2022).
Raghavan, M. et al. Upper Palaeolithic Siberian genome reveals dual ancestry of native Americans. Nature 505, 87â91 (2014).
RodrÃguez-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, 1677â1679 (2018).
Schlebusch, C. M. et al. Southern African ancient genomes estimate modern human divergence to 350,000 to 260,000 years ago. Science 358, 652â655 (2017).
Seguin-Orlando, A. et al. Genomic structure in Europeans dating back at least 36,200 years. Science 346, 1113â1118 (2014).
Sirak, K. A. et al. Social stratification without genetic differentiation at the site of Kulubnarti in Christian Period Nubia. Nat. Commun. 12, 7283 (2021).
van de Loosdrecht, M. et al. Pleistocene North African genomes link Near Eastern and sub-Saharan African human populations. Science 360, 548â552 (2018).
Yaka, R. et al. Variable kinship patterns in Neolithic Anatolia revealed by ancient genomes. Curr. Biol. 31, 2455â2468.e18 (2021).
Yang, M. A. et al. 40,000-year-old individual from Asia provides insight into early population structure in Eurasia. Curr. Biol. 27, 3202â3208.e9 (2017).
Wang, C.-C. et al. Ancient human genome-wide data from a 3000-year interval in the Caucasus corresponds with eco-geographic regions. Nat. Commun. 10, 1â13 (2019).
Wang, C.-C. et al. Genomic insights into the formation of human populations in East Asia. Nature 591, 413â419 (2021).
Yang, M. A. et al. Ancient DNA indicates human population shifts and admixture in northern and southern China. Science 369, 282â288 (2020).
Hofmanová, Z. et al. Early farmers from across Europe directly descended from Neolithic Aegeans.Proc. Natl Acad. Sci. USA 113, 6886â6891 (2016).
Flegontov, P. et al. Palaeo-Eskimo genetic ancestry and the peopling of Chukotka and North America. Nature 570, 236â240 (2019).
Jeong, C. et al. The genetic history of admixture across inner Eurasia. Nat. Ecol. Evol. 3, 966â976 (2019).
Mallick, S. et al. The Simons Genome Diversity Project: 300 genomes from 142 diverse populations. Nature 538, 201â206 (2016).
Pagani, L. et al. Tracing the route of modern humans out of Africa by using 225 human genome sequences from Ethiopians and Egyptians. Am. J. Hum. Genet. 96, 986â991 (2015).
Pickrell, J. K. et al. The genetic prehistory of southern Africa. Nat. Commun. 3, 1143 (2012).
Skoglund, P. et al. Genomic insights into the peopling of the Southwest Pacific. Nature 538, 510â513 (2016).
Vyas, D. N., Al-Meeri, A. & Mulligan, C. J. Testing support for the northern and southern dispersal routes out of Africa: an analysis of Levantine and southern Arabian populations. Am. J. Phys. Anthropol. 164, 736â749 (2017).
Biagini, S. A. et al. People from Ibiza: an unexpected isolate in the Western Mediterranean. Eur. J. Hum. Genet. 27, 941â951 (2019).
Patterson, N., Moorjani, P., Luo, Y., Mallick, S. & Rohland, N. Ancient admixture in human history. Genetics 192, 1065â1093 (2012).
Mallick, S. et al. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci. Data 11, 1â10 (2024).
Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559â575 (2007).
Sousa da Mota, B. et al. Imputation of ancient human genomes. Nat. Commun. 14, 3660 (2023).
Danecek, P. et al. Twelve years of SAMtools and BCFtools. Gigascience 10, giab008 (2021).
Rubinacci, S., Ribeiro, D. M., Hofmeister, R. J. & Delaneau, O. Efficient phasing and imputation of low-coverage sequencing data using large reference panels. Nat. Genet. 53, 120â126 (2021).
The 1000 Genomes Project Consortium. A global reference for human genetic variation. Nature 526, 68â74 (2015).
Chaitanya, L. et al. The HIrisPlex-S system for eye, hair and skin colour prediction from DNA: introduction and forensic developmental validation. Forensic Sci. Int. Genet. 35, 123â135 (2018).
Walsh, S. et al. Developmental validation of the HIrisPlex system: DNA-based eye and hair colour prediction for forensic and anthropological usage. Forensic Sci. Int. Genet. 9, 150â161 (2014).
Walsh, S. et al. Global skin colour prediction from DNA. Hum. Genet. 136, 847â863 (2017).
Acknowledgements
A.M.J. was supported by ECR strategic support of early career researchers in the faculty of science at Liverpool John Moores University, awarded to L.G.-F., and European Research Council grant no. 852558, awarded to P.S. Open Access funding was provided by Liverpool John Moores University. This study was supported by the European Research Council (grant no. 852558 to P.S.). L.S. was supported by a Sir Henry Wellcome Fellowship (220457/Z/20/Z). P.S. was supported by the European Molecular Biology Organization, the Vallee Foundation, the Wellcome Trust (217223/Z/19/Z) and The Francis Crick Institute core funding (FC001595) from Cancer Research UK, the UK Medical Research Council and the Wellcome Trust. We thank the Genomics Science Technology Platform at the Francis Crick Institute for technical assistance. We thank M. Dee (University of Groningen) for providing advice and support on how to combine the three radiocarbon dates generated from the Nuwayrat skeletal remains and M. Stratigos (University of Aberdeen) for useful discussions about radiocarbon modelling and collagen decay. We are grateful to A. Eladany (University of Aberdeen) for sharing valuable knowledge on Egyptian archaeology and ethical recommendations, and B. Vanthuyne (University of Cologne) for sharing literature on the archaeological site. Liverpool John Moores University colleagues, M. Borrini, C. Eliopoulos, J. Ohman and A. Wilshaw, provided advice on the osteological profile. We also appreciate the advice from J. KabaciÅski (Polish Academy of Sciences, PoznaÅ Branch).
Author information
Authors and Affiliations
Contributions
A.M.J., J.D.I., P.S. and L.G.-F. contributed to the conception and design of the study. A.M.J. and L.G.-F. selected and sampled archaeological material for DNA extraction. A.M.J., K.A., M.K., F.T., M.W. and M.H. performed DNA laboratory work. A.M.J., C.B. and A.G. analysed the genetic data. J.D.I. performed osteological analyses. A.C. provided the archaeological context and interpretation. R.M., E.H., A.J.N. and E.I. performed isotope analysis and interpretation. C.W. provided facial reconstruction. A.M.J., J.D.I., P.S. and L.G.-F. wrote the paper with substantial inputs from A.C., K.A., C.B., M.S., L.S., F.T., N.B., F.-X.R., C.W. and M.H.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature thanks Daniel Antoine, Elisabetta Boaretto and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Additional information
Publisherâs note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Extended Data Fig. 1 Archaeological context at the Nuwayrat site.
a, Rock-cut tombs at Nuwayrat enclosing the pottery vessel containing the pottery coffin burial. b, An impression of the rock-cut tomb based on the archaeologist John Garstangâs description, with the pottery coffin burial in the south burial chamber. c, Pottery coffin and archaeological remains of the Nuwayrat individual, as discovered in 1902. Photos in a and c reproduced courtesy of the Garstang Museum of Archaeology, University of Liverpool.
Extended Data Fig. 2 Facial reconstruction and depiction created from the Nuwayrat individual skull.
a, Final facial depiction of the Nuwayrat individual. b, Virtual fit of the skull and facial reconstruction. c, The Nuwayrat individualâs partially complete skeleton.
Extended Data Fig. 3 Damage patterns at the 5â² end of the reads in each sequencing run from the Nuwayrat individual.
All sequencing runs but one show a significant increase of C-to-T transitions at the 5â² end of DNA fragments, indicative of authentic ancient DNA.
Extended Data Fig. 6 Distal ancestries in the Nuwayrat genome and contemporary groups.
The model included Epipaleolithic/Neolithic groups from North Africa and West Asia as rotating sources in qpAdm (Morocco_Epipaleolithic, Anatolia_Neolithic, Levant_Neolithic, Zagros_Neolithic, Caucasus_Neolithic). Details of all models passing pâ>â0.05 are displayed in Supplementary Data Table 5. Values represent best-fitting model estimates ± 1 SE (error bars). This analysis was conducted over nâ=â515,802 SNPs for NUE001, nâ=â558,549 SNPs for Morocco_MN, nâ=â558,847 SNPs for Levant_BA, and nâ=â558,848 SNPs for Anatolia_BA.
Extended Data Fig. 7 Ancestry modelling of ancient East African genomes with qpAdm.
Best-fit models are represented. Details of all models passing pâ>â0.05 are described in Supplementary Data Table 12. N, Neolithic; IA, Iron Age; EIA, Early iron Age; LIA, Late Iron Age; LSA, Late Stone Age. Values represent best-fitting model estimates ± 1 SE (error bars). This analysis was conducted over 141,323-350,110 SNPs (see Supplementary Data Table 12).
Supplementary information
Supplementary Information
Supplementary Information sectionsâ1â5, including figures, tables and references.
Supplementary Tables
Supplementary Tablesâ1â12.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the articleâs Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the articleâs Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Morez Jacobs, A., Irish, J.D., Cooke, A. et al. Whole-genome ancestry of an Old Kingdom Egyptian. Nature 644, 714â721 (2025). https://doi.org/10.1038/s41586-025-09195-5
Received:
Accepted:
Published:
Issue date:
DOI: https://doi.org/10.1038/s41586-025-09195-5
This article is cited by
-
LâADN dâune momie éclaire le passé diversifié de lâÃgypte
Nature Africa (2025)
-
First human genome from ancient Egypt sequenced from 4,800-year-old teeth
Nature (2025)