Iosif Lazaridis1,2, Alissa Mittnik3,4, Nick Patterson2,5, Swapan Mallick1,2,6, Nadin Rohland1, Saskia Pfrengle4, Anja Furtwängler4, Alexander Peltzer3,7, Cosimo Posth3,4, Andonis Vasilakis8, P J P McGeorge9, Eleni Konsolaki-Yannopoulou10, George Korres11, Holley Martlew12, Manolis Michalodimitrakis13, Mehmet Özsait14, Nesrin Özsait14, Anastasia Papathanasiou15, Michael Richards16, Songül Alpaslan Roodenberg1, Yannis Tzedakis17, Robert Arnott18, Daniel M Fernandes19,20, Jeffery R Hughey21, Dimitra M Lotakis22, Patrick A Navas22, Yannis Maniatis23, John A Stamatoyannopoulos24,25,26, Kristin Stewardson1,6, Philipp Stockhammer3,27, Ron Pinhasi19,28, David Reich1,2,6, Johannes Krause3,4, George Stamatoyannopoulos22,25. 1. Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. 2. Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA. 3. Max Planck Institute for the Science of Human History, 07745 Jena, Germany. 4. Institute for Archaeological Sciences, University of Tübingen, 72074 Tübingen, Germany. 5. Radcliffe Institute, Cambridge, Massachusetts 02138, USA. 6. Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA. 7. Integrative Transcriptomics, Centre for Bioinformatics, University of Tübingen, 72076 Tübingen, Germany. 8. 23rd Ephorate of Prehistoric and Classical Antiquities, 71202 Herakleion, Crete. 9. British School at Athens, 106 76 Athens, Greece. 10. 26th Ephorate of Prehistoric and Classical Antiquities, Greek Ministry of Culture, 13536 Piraeus, Greece. 11. Department of Archaeology, University of Athens, 17584 Athens, Greece. 12. The Holley Martlew Archaeological Foundation, The Hellenic Archaeological Foundation, Tivoli House, Tivoli Road, Cheltenham GL50 2TD, UK. 13. University of Crete Medical School, 711 13 Herakleion, Crete, Greece. 14. Erenköy, Bayar caddesi, Eser Apt. Number 7, Daire 24, Kadıköy, Istanbul, Turkey. 15. Ephorate of Paleoantropology and Speleology, Greek Ministry of Culture, 11636 Athens, Greece. 16. Department of Archaeology, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada. 17. Hellenic Archaeological Service, Samara, 27, Paleo Psychico, 15452 Athens, Greece. 18. Green Templeton College, University of Oxford, Woodstock Road, Oxford OX2 6HG, UK. 19. School of Archaeology and Earth Institute, Belfield, University College Dublin, Dublin 4, Ireland. 20. CIAS, Department of Life Sciences, University of Coimbra, Coimbra 3000-456, Portugal. 21. Division of Mathematics, Science, and Engineering, Hartnell College, 411 Central Avenue, Salinas, California 93901, USA. 22. Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA. 23. Laboratory of Archaeometry, National Center for Scientific Research 'Demokritos', Aghia Paraskevi 153 10, Attiki, Greece. 24. Department of Medicine, University of Washington, Seattle, Washington 98195, USA. 25. Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. 26. Altius Institute for Biomedical Sciences, Seattle, Washington 98121, USA. 27. Ludwig-Maximilians-Universität München, Institut für Vor- und Frühgeschichtliche Archäologie und Provinzialrömische Archäologie, 80799 München, Germany. 28. Department of Anthropology, University of Vienna, Althanstraße 14, 1090 Vienna, Austria.
Abstract
The origins of the Bronze Age Minoan and Mycenaean cultures have puzzled archaeologists for more than a century. We have assembled genome-wide data from 19 ancient individuals, including Minoans from Crete, Mycenaeans from mainland Greece, and their eastern neighbours from southwestern Anatolia. Here we show that Minoans and Mycenaeans were genetically similar, having at least three-quarters of their ancestry from the first Neolithic farmers of western Anatolia and the Aegean, and most of the remainder from ancient populations related to those of the Caucasus and Iran. However, the Mycenaeans differed from Minoans in deriving additional ancestry from an ultimate source related to the hunter-gatherers of eastern Europe and Siberia, introduced via a proximal source related to the inhabitants of either the Eurasian steppe or Armenia. Modern Greeks resemble the Mycenaeans, but with some additional dilution of the Early Neolithic ancestry. Our results support the idea of continuity but not isolation in the history of populations of the Aegean, before and after the time of its earliest civilizations.
The origins of the Bronze Age Minoan and Mycenaean cultures have puzzled archaeologists for more than a century. We have assembled genome-wide data from 19 ancient individuals, including Minoans from Crete, Mycenaeans from mainland Greece, and their eastern neighbours from southwestern Anatolia. Here we show that Minoans and Mycenaeans were genetically similar, having at least three-quarters of their ancestry from the first Neolithic farmers of western Anatolia and the Aegean, and most of the remainder from ancient populations related to those of the Caucasus and Iran. However, the Mycenaeans differed from Minoans in deriving additional ancestry from an ultimate source related to the hunter-gatherers of eastern Europe and Siberia, introduced via a proximal source related to the inhabitants of either the Eurasian steppe or Armenia. Modern Greeks resemble the Mycenaeans, but with some additional dilution of the Early Neolithic ancestry. Our results support the idea of continuity but not isolation in the history of populations of the Aegean, before and after the time of its earliest civilizations.
Ancient DNA research has traced the principal ancestors of early European farmers to highly similar Neolithic populations of Greece and western Anatolia, beginning in the 7th millennium BCE[1,2], but the later history of these regions down to the Bronze Age, a transformational period in the history of Eurasia[4,6,9], is less clear. There is limited genetic evidence suggesting migrations from both the east (the area of Iran and the Caucasus), reaching Anatolia by at least ~3,800 BCE[4], and the north (eastern Europe and Siberia) contributing ‘Ancient North Eurasian’ ancestry[6,10] to all modern Europeans. The timing and impact of these migrations in the Aegean is, however, unknown.During the Bronze Age, two prominent archaeological cultures emerged in the Aegean. The culture of the island of Crete, labelled ‘Minoan’ by Arthur Evans[11], was Europe’s first literate civilization, and has been described as ‘Europe’s first major experience of civilization’[12]. However, the Linear A syllabic ideographic and Cretan hieroglyphic scripts used by this culture remain undeciphered, obscuring its origins. Equally important was the civilization of the ‘Mycenaean’ culture of mainland Greece, whose language, written in the Linear B script, was an early form of Greek[13]. Cretan influence in mainland Greece and the later Mycenaean occupation of Crete link these two cultures, but the degree of genetic affinity between mainland and Cretan populations is unknown. Greek is related to other Indo-European languages, leading to diverse theories tracing its earliest speakers from the 7th millennium down to ~1,600 BCE, and proposing varying degrees of population change (Supplementary Information, section 1).Genome-wide ancient DNA data provides a new source of information about the people of the Bronze Age, who were first known through the ancient poetic and historical traditions commencing with Homer and Herodotus, later through the disciplines of archaeology and linguistics, and, more recently, by the limited information from ancient mitochondrial DNA[14,15]. Here we answer several questions. First, do the labels ‘Minoan’ and ‘Mycenaean’ correspond to genetically coherent populations or do they obscure a more complex structure of the peoples who inhabited Crete and mainland Greece at this time? Second, how were the two groups related to each other, to their neighbours across the Aegean in Anatolia, and to other ancient populations from Europe[1,2,6,8-10] and the Near East[2-5,9,16,17]? Third, can inferences about their ancestral origins inform debates about the origins of their cultures? Fourth, how are the Minoans and Mycenaeans related to Modern Greeks, who inhabit the same area today?We generated genome-wide data from 19 ancient individuals (Fig. 1a; Extended Data Table 1; Supplementary Information, section 1). This includes 10 Minoans from Crete, (~2,900–1,700 BCE; labelled Minoan_Odigitria: from Moni Odigitria near the southern coast of central Crete and Minoan_Lasithi: from the cave of Hagios Charalambos in the highland plain of Lasithi in east Crete). From mainland Greece, 4 Mycenaeans were included (~1,700–1,200 BCE; from the western coast of the Peloponnese, from Argolis, and the island of Salamis). An additional individual from Armenoi in western Crete (~1,370–1,340 BCE; labelled Crete_Armenoi) postdates the appearance of Mycenaean culture on the island of Crete. Our dataset also includes a Neolithic sample from Alepotrypa Cave at Diros bay in the southern Peloponnese (~5,400 BCE) adding to previously published samples from northern Greece[2] (collectively labelled Greece_N). Finally, it includes 3 Bronze Age individuals (~2,800–1,800 BCE; labelled Anatolia_BA) from Harmanören Göndürle in southwestern Anatolia (Turkey), adding knowledge about genetic variation in Anatolia after the Neolithic/Chalcolithic periods[1,2,4,17] (Supplementary Information, section 1). We processed the ancient remains, extracted DNA, and prepared Illumina libraries in dedicated clean rooms (Supplementary Data Table 1; Methods), and, after initial screening for mitochondrial DNA, used in-solution hybridization[18] to capture ~1.2 million single nucleotide polymorphisms[6,19] on the ancient samples. We assessed contamination by examining the rate at which they matched the mitochondrial consensus sequence (Supplementary Data Table 2) and by the rate at which male samples were heterozygous on the X-chromosome (Methods). We combined the dataset of the 19 ancient individuals with 332 other ancient individuals from the literature, 2,614 present-day humans genotyped on the Human Origins array, and 2 present-day Cretans (Methods).
Figure 1
Samples and principal components analysis
(a) Geographical locations of newly reported ancient data. Lines point to sampling locations; jitter is added to show the number of sampled individual per location. (b) 334 ancient individuals projected onto the first two principal components computed on a sample of 1,029 present-day West Eurasians[4,5,10,31], including 30 Modern Greek samples from Greece and Cyprus.
Extended Data Table 1
Information on ancient samples reported in this study
Dates marked simply as BCE are based on the associated archaeology of the samples. Dates marked as calBCE are based on radiocarbon dating of the samples (Supplementary Information, section 1).
Individual_ID
Genotype_ID
Other_ID
Source
Date
Population_Label
Location
Country
Latitude
Longitude
Sex
Coverage
Autosomal_SNPs
mtDNA
Y-chromosome
I2937
I2937
A2197
1240K
5419±41 cal BC
Greece_N
Diros, Alepotrypa Cave
Greece
36.64
22.38
F
0.870
481848
K1a26
I0071
I0071
Lasithi4
1240K
2000-1700 BCE
Minoan_Lasithi
Hagios Charalambos Cave, Lasithi, Crete
Greece
35.08
25.83
F
7.312
953157
U5a1
I0070
I0070
Lasithi2
1240K
2000-1700 BCE
Minoan_Lasithi
Hagios Charalambos Cave, Lasithi, Crete
Greece
35.08
25.83
M
1.267
619767
H13a1
J2a1d
I0073
I0073
Lasithi7
1240K
2000-1700 BCE
Minoan_Lasithi
Hagios Charalambos Cave, Lasithi, Crete
Greece
35.08
25.83
M
1.481
643360
H
J2a1
I0074
I0074
Lasithi9
1240K
2000-1700 BCE
Minoan_Lasithi
Hagios Charalambos Cave, Lasithi, Crete
Greece
35.08
25.83
F
0.874
506434
H5
I9005
I9005
Lasithi17
1240K
2000-1700 BCE
Minoan_Lasithi
Hagios Charalambos Cave, Lasithi, Crete
Greece
35.08
25.83
F
1.351
388859
H
I9006
I9006
Salamis31
1240K
1411-1262 cal BCE(3067 ± 25 BP, DEM-2905)
Mycenaean
Agia Kyriaki, Salamis
Greece
37.97
23.50
F
1.387
361193
X2d
I9123
I9123
S-EVA 1263Armenoi 503
1240K
1370-1340 BCE
Crete_Armenoi
Armenoi, Crete
Greece
35.45
24.17
F
0.041
45158
U5a1
I9127
I9127
12V t2
1240K
2900-1900 BCE
Minoan_Odigitria
Moni Odigitria, Heraklion, Crete
Greece
35.05
24.81
F
0.035
36475
J2b1a1
I9128
I9128
13V t2
1240K
2900-1900 BCE
Minoan_Odigitria
Moni Odigitria, Heraklion, Crete
Greece
35.05
24.81
F
0.016
17081
I5
I9129
I9129
14V t2
1240K
2900-1900 BCE
Minoan_Odigitria
Moni Odigitria, Heraklion, Crete
Greece
35.05
24.81
F
0.063
63986
H+163
I9130
I9130
16V Tholos
1240K
2900-1900 BCE
Minoan_Odigitria
Moni Odigitria, Heraklion, Crete
Greece
35.05
24.81
M
0.086
92186
U3b3
G2a2b2
I9131
I9131
19V t2
1240K
2900-1900 BCE
Minoan_Odigitria
Moni Odigitria, Heraklion, Crete
Greece
35.05
24.81
F
0.095
96946
K1a2
I9010
I9010
Galatas19
1240K
1700-1200 BCE
Mycenaean
Galatas Apatheia, Peloponnese
Greece
37.50
23.45
F
0.379
242265
X2
I9033
I9033
Peristeria4
1240K
1416-1280 cal BCE(3084 ± 24 BP, DEM-2903)
Mycenaean
Peristeria Tryfilia, Peloponnese
Greece
36.92
21.70
F
0.439
248912
H
I9041
I9041
Galatas4
1240K
1700-1200 BCE
Mycenaean
Galatas Apatheia, Peloponnese
Greece
37.50
23.45
M
1.558
417898
X2
J2a1
I2495
I2495
A4-1
1240K
2558-2295 caIBCE(3925±35 BP, Poz-81111)
Anatolia_BA
Harmanӧren-Gӧndürle Hӧyük, Isparta
Turkey
37.92
30.71
M
1.981
637146
H
J1a
I2499
I2499
UC1
1240K
2836-2472 caIBCE(4040±35 BP, Poz-82213)
Anatolia_BA
Harmanӧren-Gӧndürle Hӧyük, Isparta
Turkey
37.92
30.71
F
0.285
243348
K1a2
I2683
I2683
G3-95
1240K
2500-1800 BCE
Anatolia_BA
Harmanӧren-Gӧndürle Hӧyük, Isparta
Turkey
37.92
30.71
F
3.695
749308
T2b
We carried out principal components analysis[20] (Methods), projecting ancient samples onto the first two principal components inferred from present-day West Eurasian populations[10] that form two south-north parallel clines in Europe and the Near East along PC2. Minoans and Mycenaeans are centrally positioned in the PCA (Fig. 1b), framed to the left by ancient populations from mainland Europe and the Eurasian steppe, to the right by ancient populations from the Caucasus and Western Asia, and to the bottom by Early/Middle Neolithic farmers from Europe and Anatolia. The Neolithic samples from Greece cluster with these farmers and are distinct from the Minoans and Mycenaeans. The Bronze Age individuals from southwestern Anatolia are also distinct, intermediate between Anatolian and Levantine populations towards the bottom, and populations from Armenia, Iran, and the Caucasus towards the top. ADMIXTURE analysis (Extended Data Fig. 1) shows that both Minoans and Mycenaeans possess a ‘pink’ genetic component (K=8 and greater) as do Bronze Age southwestern Anatolians, Neolithic Central Anatolians from Tepecik-Çiftlik[17], a Chalcolithic northwestern Anatolian[1], and western Anatolians from Kumtepe[16]. This component is maximized in the Mesolithic/Neolithic samples from Iran[4,5] and hunter-gatherers from the Caucasus[3] (Extended Data Fig. 1). It is not found in the Neolithic of northwestern Anatolia, Greece, or the Early/Middle Neolithic populations of the rest of Europe, only appearing in the populations of the Late Neolithic/Bronze Age in mainland Europe[6], introduced there by migration from the Eurasian steppe[1,6].
Extended Data Figure 1
ADMIXTURE analysis
ADMIXTURE analysis with K=2 to K=17 is shown. 351 ancient and 2,616 present-day individuals were used in this analysis; ancient samples and present-day Greeks are displayed. To avoid visual clutter of labels, individuals in populations with sample size ≤5 are shown with thicker lines.
Beyond the visual impressions of PCA and ADMIXTURE, we formally tested the relationships between populations from our study and the literature, using f4-statistics of the form f4(X, Y; Test, Chimp) that evaluate whether Test shares more alleles with X or Y. We find that Test populations from Iran, the Caucasus, and eastern Europe share more alleles with Minoans and Mycenaeans than with the Neolithic population of Greece (Extended Data Fig. 2a,b). The Minoans from the Lasithi plateau in the highlands of eastern Crete and from the coast of southern Crete (Extended Data Fig. 2c) are consistent with being a homogeneous population. Mycenaeans differ from these Minoans in sharing significantly fewer alleles with Neolithic people from the Levant, Anatolia, Greece, and mainland Europe (Extended Data Fig. 2d). In comparison, the Bronze Age Anatolians share fewer alleles with ancient Europeans and more with ancient populations of Iran and the Levant (Extended Data Fig. 3). We used f3-statistics of the form f3(Ref1, Ref2; Test) which, if negative, show that Test is admixed from sources related to the Ref1, Ref2 source populations. We do not find significantly negative (Ref1, Ref2) pairs for Minoans or Bronze Age Anatolians (Z>−2.5), but do for Mycenaeans (−4.9
Extended Data Figure 2
Symmetry testing of Aegean Bronze Age populations
The statistic f4(X, Y; Test, Chimp) is shown with ±3 standard errors. Each panel is titled with the pair X, Y. Populations are ordered according to the value of the statistic. Positive values indicate that Test shares more alleles with X than Y and negative values that it shares more with Y than X. (a) ‘northern’ and ‘eastern’ populations share more alleles with Minoans than with Neolithic Greece. (b) ‘northern’ and ‘eastern’ populations share more alleles with Mycenaeans than with Neolithic Greece. (c) Minoans from Lasithi and Moni Odigitria are symmetrically related to diverse populations. (d) Neolithic populations from Anatolia, Europe, Greece, and the Levant share fewer alleles with Mycenaeans than with Minoans.
Extended Data Figure 3
Symmetry testing of Anatolian Bronze Age populations
The statistic f4(X, Y; Test, Chimp) is shown with ±3 standard errors. Each panel is titled with the pair X, Y. Populations are ordered according to the value of the statistic. Positive values indicate that Test shares more alleles with X than Y and negative values that it shares more with Y than X. (a) European, Siberian, and Caucasus hunter-gatherers share fewer alleles with Bronze Age Anatolians from Harmanören Göndürle than with a Chalcolithic Anatolian from Barcın. (b) Bronze Age Anatolians differ from Neolithic ones in sharing more alleles with populations of Iran, the Caucasus, and the Steppe than with those of Europe. (c) Bronze Age Anatolians differ from Minoans in sharing more alleles with populations from Neolithic Iran than Neolithic Anatolia and Europe. (d) Bronze Age Anatolians differ from Mycenaeans in sharing more alleles with Neolithic and Bronze Age populations of the Levant.
Extended Data Figure 4
f3-statistics of Mycenaeans as a target with different pairs of reference populations
We show the value of the statistic f3(Ref1, Ref2; Mycenaean) and ±3 standard errors; only the population pairs (Ref1, Ref2) for which the Z-score of the statistic is <−2 are shown. Negative values indicate that the Mycenaean population is admixed from sources related to the two reference populations.
We modelled Bronze Age populations using qpAdm/qpWave[6] framework (Methods; Supplementary Information, section 2) which relates a set of ‘left’ populations (admixed population and ancestral source populations) with a set of ‘right’ populations (diverse outgroups) and allows one to test for the number of streams of ancestry from ‘right’ to ‘left’ and to estimate admixture proportions. This analysis shows that all Bronze Age populations from the Aegean and Anatolia derived most (~62–86%) of their ancestry from an Anatolian Neolithic-related population (Table 1). However, they also had a component (~9–32%) of ‘eastern’ (Caucasus/Iran-related) ancestry. It was previously shown that this type of ancestry was introduced into mainland Europe via Bronze Age pastoralists from the Eurasian steppe who were a mix of both eastern European hunter-gathers and populations from the Caucasus and Iran[4,6]; our results show that it also arrived on its own, at least in the Minoans, without eastern European hunter-gatherer ancestry. This ancestry need not have arrived from regions east of Anatolia, as it was already present during the Neolithic in central Anatolia at Tepecik-Çiftlik[17] (Supplementary Information, section 2). The eastern influence in the Bronze Age populations from Greece and southwestern Anatolia is also supported by an analysis of their Y-chromosomes. Four out of five males belonging to Minoans, Mycenaeans, and southwestern Anatolians (Supplementary Information, section 3) belonged to haplogroup J which was rare or non-existent in earlier populations from Greece and western Anatolia which were dominated by Y-chromosome haplogroup G2[1,2,17]. Haplogroup J was present in Caucasus hunter-gatherers[3] and a Mesolithic individual from Iran[4] and its spread westward may have accompanied the ‘eastern’ genome-wide influence.
Table 1
Admixture modelling of Bronze Age populations
For each test population, mixture proportions from four source populations with their standard errors are given. Ancestry is inferred from both ‘ultimate’ sources representing the earliest populations, and ‘proximate’ sources representing populations down to the Bronze Age (Supplementary Information, section 2). Column A lists ‘northern’ sources from eastern Europe and Siberia, including the Eurasian steppe; column B lists ‘eastern’ sources from Iran, the Caucasus, and Anatolia (after the Early Neolithic); column C lists ‘local’ sources from Anatolia and the Aegean; column D lists sources from the Levant. For abbreviations of population names see Methods.
Ancestral Sources
Mixture Proportions
Standard Errors
Test
A
B
C
D
A
B
C
D
A
B
C
D
Ultimate Sources
Anatolia_BA
CHG
Anatolia_N
Levant_N
0.319
0.618
0.063
0.029
0.078
0.063
Minoan_Odigitria
CHG
Anatolia_N
0.144
0.856
0.031
0.031
Minoan_Odigitria
Iran_N
Anatolia_N
0.137
0.863
0.032
0.032
Minoan_Lasithi
MA1
CHG
Anatolia_N
0.001
0.152
0.847
0.015
0.021
0.020
Minoan_Lasithi
Mota
CHG
Anatolia_N
0.004
0.154
0.842
0.024
0.026
0.020
Mycenaean
AfontovaGora3
CHG
Anatolia_N
0.133
0.126
0.741
0.027
0.026
0.024
Mycenaean
AfontovaGora3
Iran_N
Anatolia_N
0.161
0.086
0.754
0.026
0.025
0.024
Mycenaean
EHG
Iran_N
Anatolia_N
0.065
0.136
0.799
0.016
0.022
0.024
Mycenaean
EHG
CHG
Anatolia_N
0.044
0.176
0.780
0.016
0.023
0.024
Mycenaean
MA1
CHG
Anatolia_N
0.052
0.159
0.789
0.019
0.026
0.024
Proximate Sources
Anatolia_BA
Anatolia_ChL
Natufian
0.908
0.092
0.039
0.039
Anatolia_BA
Anatolia_ChL
Levant_BA
0.892
0.108
0.114
0.114
Anatolia_BA
Anatolia_ChL
Levant_N
0.951
0.049
0.051
0.051
Anatolia_BA
Anatolia_ChL
Anatolia_N
0.935
0.065
0.062
0.062
Mycenaean
Armenia_MLBA
Anatolia_N
0.367
0.633
0.020
0.020
Mycenaean
Armenia_ChL
Anatolia_N
0.441
0.559
0.025
0.025
Anatolia_BA
Anatolia_ChL
Minoan_Lasithi
0.970
0.030
0.108
0.108
Mycenaean
Steppe_MLBA
Minoan_Lasithi
0.175
0.825
0.017
0.017
Mycenaean
Europe_LNBA
Minoan_Lasithi
0.198
0.802
0.019
0.019
Mycenaean
Steppe_EMBA
Minoan_Lasithi
0.132
0.868
0.014
0.014
The Minoans could be modelled as a mixture of the Anatolia Neolithic-related substratum with additional ‘eastern’ ancestry, but the other two groups had additional ancestry: the Mycenaeans had ~4–16% ancestry from a ‘northern’ ultimate source related to the hunter-gatherers of eastern Europe and Siberia (Table 1), while the Bronze Age southwestern Anatolians may have had ~6% ancestry related to Neolithic Levantine populations. The elite Mycenaean individual from the ‘royal’ tomb at Peristeria in the western Peloponnese did not differ genetically from the other three Mycenaean individuals buried in common graves. To identify more proximate sources of the distinctive eastern European/north Eurasian-related ancestry in Mycenaeans, we included later populations as candidate sources (Supplementary Information, section 2), and could model Mycenaeans as a mixture of the Anatolian Neolithic and Chalcolithic-to-Bronze Age populations from Armenia (Table 1). Populations from Armenia possessed some ancestry related to eastern European hunter-gatherers[4], so they, or similar unsampled populations of western Asia, could have contributed it to populations of the Aegean. This model makes geographical sense, since a population movement from the vicinity of Armenia could have admixed with Anatolian Neolithic-related farmers on either side of the Aegean. However, Mycenaeans can also be modelled as a mixture of Minoans and Bronze Age steppe populations (Table 1; Supplementary Information, section 2), suggesting that, alternatively, ‘eastern’ ancestry arrived in both Crete and mainland Greece, followed by ~13–18% admixture with a ‘northern’ steppe population in mainland Greece only. Such a scenario is also plausible: first, it provides a genetic correlate for the distribution of shared toponyms in Crete, mainland Greece, and Anatolia discovered by Kretschmer[21]; second, it postulates a single migration from the east; third, it proposes some gene flow from geographically contiguous areas to the north where steppe ancestry was present since at least the mid-3rd millennium BCE[6,9]. We validated inferences from qpAdm by treating source populations as ‘ghosts’ and re-estimating mixture proportions[4], by examining the correspondence between qpAdm estimates and PCA[4] (Extended Data Fig. 5), and by comparing simulated individuals of known ancestry against the Mycenaeans (Extended Data Fig. 6).
Extended Data Figure 5
Correspondence of qpAdm estimates with PCA
As a way to validate qpAdm models of admixture for Myceneans from three ancestral populations (Anatolia_N or Minoan_Lasithi), (Armenia_ChL or Armenia_MLBA), (Steppe_EMBA, Steppe_MLBA, Europe_LNBA), representing substratum, ‘eastern’, and ‘northern’ ancestry respectively (Supplementary Information, section 2), we plot the qpAdm-predicted position in the PCA space of Fig. 1 vs. the actual position of the Mycenaean population.
Extended Data Figure 6
Comparison of Mycenaeans and simulated admixed populations
We simulate admixed individuals with known ancestry from three ancestral populations (Anatolia_N or Minoan_Lasithi), (Armenia_ChL or Armenia_MLBA), (Steppe_EMBA, Steppe_MLBA, Europe_LNBA), representing substratum, ‘eastern’, and ‘northern’ ancestry respectively (Methods; Supplementary Information, section 2). The maximum |Z|-score of statistics f4(Mycenaean, Simulated; Outgroup1, Outgroup2) is plotted with circles of varying size (proportional to log|Z|) for each assignment of ancestry proportions. The best estimate (red) corresponds to the proportions that minimize |Z|, and they are compared against the qpAdm estimate for the same ancestral sources (blue).
Geographical structure may have prevented the spread of the ‘northern’ ancestry from the mainland to Crete, contributing to genetic differentiation. Such structure may, in principle, be long-standing, even prior to the advent of the Neolithic in the 7th millennium BCE. Alternatively, both ‘northern’ and ‘eastern’ ancestry may have arrived in the Aegean at any time between the Early Neolithic and the Late Bronze Age. Wider geographical and temporal sampling of pre-Bronze Age populations of the Aegean may better trace the advent of ‘northern’ and ‘eastern’ ancestry in the region. However, sampled Neolithic samples from Greece, down to the Final Neolithic ~4,100 BCE[2], do not possess either type of ancestry, suggesting that the admixture we detect probably occurred during the 4th–2nd millennium BCE time window. Other proposed migrations, such as settlement by Egyptian or Phoenician colonists[22] are not discernible in our data, as there is no measurable Levantine or African influence in the Minoans and Myceneans, thus rejecting the hypothesis that the cultures of the Aegean were seeded by migrants from the old civilizations of these regions. On the other hand, migrants from areas east or north of the Aegean, while numerically less influential than the locals, may have contributed to the emergence of the 3rd–2nd millennium BCE Bronze Age cultures as ‘creative disruptors’ of local traditions, bearers of innovations, or through cultural interaction with the locals, coinciding with the genetic process of admixture.[23] Relative ancestral contributions do not determine the relative roles in the rise of civilization of the different ancestral populations, but, nonetheless, the strong persistence of the Neolithic substratum does suggest a key role for the locals in this process.Phenotype prediction from genetic data has enabled the reconstruction of the appearance of ancient Europeans[1,24] who left no visual record of their pigmentation. By contrast, the appearance of the Bronze Age people of the Aegean has been preserved in colourful frescos and pottery, depicting people with mostly dark hair and eyes[25]. We used the HIrisPlex[26] tool (Supplementary Information, section 4) to infer that the appearance of our ancient samples matched the visual representations (Extended Data Table 2), suggesting that art of this period reproduced phenotypes naturalistically.
Extended Data Table 2
Phenotypic inference of ancient individuals
We list the probability assignments for different phenotypes by HIrisPlex[26] and an assessment of the phenotype. We generate 100 random replicates of the genotypes of each individual, listing the standard deviation in parentheses (Supplementary Information, section 4).
ID
Population
PBlueEye
PIntermediateEye
PBrownEye
PBlondHair
PBrownHair
PRedHair
PBlackHair
PLightHair
PDarkHair
Hair Color
Eye Clor
I2495
Anatolia_BA
1.6 (4.4)
3.6 (3.9)
94.9 (8.3)
10.7 (6.1)
51.6 (6.4)
0.1 (0.1)
37.6 (9.3)
18.0 (11.7)
82.0 (11.7)
Brown
Brown
I2499
Anatolia_BA
16.6 (28.3)
7.4 (2.2)
76.0 (28.7)
2.2 (2.2)
64.7 (11.8)
2.0 (5.3)
31.1 (13.8)
12.9 (20.1)
87.1 (20.1)
Brown
Blue or Brown
I2683
Anatolia_BA
0.3 (0.9)
1.3 (1.7)
98.4 (2.6)
3.3 (2.5)
33.0 (4.6)
0.0 (0.0)
63.7 (7.0)
4.9 (4.5)
95.1 (4.5)
Black
Brown
I2937
Greece_N
0.3 (1.3)
2.2 (1.9)
97.5 (3.2)
3.6 (1.9)
33.9 (6.2)
0.1 (0.0)
62.4 (7.4)
6.7 (4.3)
93.3 (4.3)
Black
Brown
I0070
Minoan_Lasithi
0.4 (1.8)
2.2 (1.9)
97.4 (3.7)
30.4 (5.1)
66.4 (5.9)
3.2 (0.9)
0.0 (0.0)
100.0 (0.0)
0.0 (0.0)
Brown
Brown
I0071
Minoan_Lasithi
0.0 (0.0)
0.2 (0.0)
99.8 (0.0)
0.4 (0.0)
20.3 (0.0)
0.0 (0.0)
79.3 (0.0)
0.5 (0.0)
99.5 (0.0)
Black
Brown
I0073
Minoan_Lasithi
0.1 (0.7)
1.7 (1.4)
98.2 (2.2)
12.5 (3.4)
61.1 (1.2)
0.2 (0.1)
26.2 (2.7)
32.4 (8.8)
67.6 (8.8)
Brown
Brown
I0074
Minoan_Lasithi
0.0 (0.0)
1.3 (0.3)
98.7 (0.4)
9.3 (3.2)
54.8 (8.5)
0.1 (0.1)
35.8 (10.5)
18.8 (10.3)
81.2 (10.3)
Brown
Brown
I9005
Minoan_Lasithi
5.2 (0.0)
11.6 (0.0)
83.2 (0.0)
49.6 (1.4)
38.8 (1.2)
4.2 (0.5)
7.4 (0.7)
85.6 (1.7)
14.4 (1.7)
Blond or Brown
Brown
I9006
Mycenaean
0.0 (0.0)
1.1 (0.4)
98.9 (0.4)
8.7 (4.9)
59.9 (6.4)
1.8 (2.9)
29.6 (11.8)
25.7 (16.5)
74.3 (16.5)
Brown
Brown
I9033
Mycenaean
0.4 (1.0)
1.6 (1.9)
98.0 (3.0)
4.6 (3.9)
51.0 (6.3)
0.1 (0.5)
44.2 (9.8)
10.5 (13.2)
89.5 (13.2)
Brown
Brown
I9041
Mycenaean
1.4 (0.5)
5.3 (1.0)
93.3 (1.4)
7.8 (0.7)
63.2 (2.0)
0.2 (0.4)
28.7 (2.3)
21.2 (2.5)
78.8 (2.5)
Brown
Brown
We estimated FST of Bronze Age populations with present-day West Eurasians, finding that Mycenaeans are least differentiated from populations from Greece, Cyprus, Albania, and Italy (Fig. 2), part of a general pattern in which Bronze Age populations broadly resemble present-day inhabitants from the same region (Extended Data Fig. 7). Modern Greeks occupy the intermediate space of the PCA along PC1 (Fig. 1b) between ancient European and Near Eastern populations, like the ones of the Bronze Age. They are not, however, identical to Bronze Age populations, as they are above them along PC2 (Fig. 1b). This is due to the fact that Neolithic farmers share fewer alleles with Modern Greeks than with Mycenaeans (Extended Data Fig. 8), consistent with additional later admixture[27,28].
Figure 2
Genetic differentiation of Bronze Age populations to present-day populations
We plot the FST inbreeding coefficient (Methods) between newly reported populations and present-day West Eurasian populations which shows a pattern of genetic affinity between Bronze Age and present-day populations from the corresponding broad geographical regions. (a) Mycenaeans, (b) Minoans from Hagios Charalambos (Lasithi regional unit), (c) Minoans from Moni Odigitria (Heraklion regional unit), (d) southwestern Bronze Age Anatolians. The same pattern also applies to Bronze Age populations from other regions of West Eurasia (Extended Data Fig. 5).
Extended Data Figure 7
FST between Bronze Age and present-day West Eurasian populations
(a) The population of Early Bronze Age Armenia[4] shows an affinity to present-day populations from Armenia, Anatolia, the Caucasus, and Iran, as does (b) Middle/Late Bronze Age Armenia[4,9]. (c) The Bronze Age Levant[4] has an affinity to Levantine and Arabian populations. (d) Late Neolithic/Bronze Age Europeans[1,6,9,43] most resemble present-day northern/central Europeans, as do (e) Early/Middle Bronze Age steppe populations[1,6,9], who also resemble populations of the northeast Caucasus, while (f) Middle/Late Bronze Age steppe populations resemble central/northern Europeans[1,9]. Jewish populations are plotted with a square to distinguish them from non-Jewish populations from the same geographical area. The plots for the newly reported populations of Mycenaeans, Minoans, and Bronze Age Anatolians are shown in Fig. 2.
Extended Data Figure 8
Symmetry testing of Mycenaeans with Modern Greek populations
The statistic f4(Mycenaean, Modern Greek; Test, Chimp) is shown with ±3 standard errors. Modern Greeks share fewer alleles with Levantine/Anatolian/European Neolithic populations and with Minoans than Mycenaeans do, suggesting a dilution of early Neolithic ancestry since the Bronze Age. Human Origins genotype data: (a) Greeks from the Coriell repository[10], (b) Greeks from Thessaloniki[10], (c) Cypriots[10]. Whole genome data: (d) Cretans[40]. Illumina genotype data: (e) Greeks from Thessaly[41], (f) Greeks from Central Greece[41], (g) Greeks from the study by Hellenthal et al.[27]
The Minoans and Mycenaeans, sampled from different sites in Crete and mainland Greece, were homogeneous, supporting the genetic coherency of these two groups. Differences between them are only relative, viewed against their broad overall similarity to each other and to the southwestern Anatolians, sharing in both the ‘local’ Anatolian Neolithic-like farmer ancestry and the ‘eastern’ Caucasus-related admixture. Two key questions remain to be addressed by future studies. First, when did the common ‘eastern’ ancestry of both Minoans and Mycenaeans arrive in the Aegean? Second, is the ‘northern’ ancestry in Mycenaeans due to sporadic infiltration of Greece, or the result of a rapid migration as in Central Europe[6]? Such a migration would support the idea that Proto-Greek speakers[29] formed the southern wing of a steppe intrusion of Indo-European speakers. Yet, the absence of ‘northern’ ancestry in the Bronze Age samples from Pisidia, where Indo-European languages were attested in antiquity, casts doubt on this genetic-linguistic association, with further sampling of ancient Anatolian speakers needed. Whatever the answer to these questions, the discovery of at least two migration events into the Aegean in addition to the first farming dispersal and before the Bronze Age, and of additional population change since that time, supports the view that the Greeks did not emerge fully-formed from the depths of prehistory, but were, indeed, a people ‘ever in the process of becoming.’[30]
Methods
No statistical methods were used to predetermine sample size. The experiments were not randomized and the investigators were not blinded to allocation during experiments and outcome assessment.
Ancient DNA
An overview of which steps in processing the ancient samples were undertaken in which lab is provided in Supplementary Data Table 1.
Dublin
The inner ear area of each petrous bone was identified, isolated, and then ground to a fine powder. Cleaning and isolation of the cochlea was performed using aluminum oxide powder in a sandblasting chamber. Once isolated, it was decontaminated by UV irradiation for 7.5 minutes on each side, ground on a mixer mill to a weight of about 50mg, and finally transferred to a sterile Eppendorf tube. All procedures were conducted in clean and dedicated ancient DNA facilities.
Seattle
Teeth processed in this laboratory were decontaminated and pulverized to powder in clean and dedicated ancient DNA facilities following previously published methods[11].
Leipzig
As previously described,[32] sampling, extraction and preparation of double-indexed, double-stranded libraries took place in the clean room facilities of the Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany (MPI-EVA), followed by enrichment of human mtDNA[33]. Enriched libraries were sequenced on an Illumina GAIIx platform for 2×76+7 cycles and resulting data was mapped to the rCRS using the EAGER pipeline to evaluate DNA preservation (Supplementary Table 2). These libraries were then shipped to Boston, where nuclear target enrichment was performed (see below).
Tübingen
Pre-PCR steps took place in the clean room facilities of the Institute for Archaeological Sciences at the University of Tübingen, Germany. After surface irradiation with UV-light, the tooth was sawed apart transversally at the border of crown and root, and dentine powder from the inside the crown was sampled using a sterile dentistry drill. Extraction, library preparation and enrichment of human mtDNA used the same protocols as described for MPI-EVA, with addition of a updated extraction protocol[34]. Sequencing of shotgun and mtDNA-enriched libraries took place at the facilities of the Frauenklinik of the University of Tübingen, on an Illumina MiSeq for 2×150+8 cycles or on an Illumina HiSeq2500 for 2×101+8 cycles (Supplementary Table 2).Additional libraries were produced including full or partial[35] repair with UDG and endonuclease VIII to remove deaminated bases. In-solution enrichment was performed using previously reported protocols[6,18]. Two SNP sets of 394,577 SNPs (390k capture[6]) or 1,237,207 SNPs (1240k capture[1]) were targeted. Sequencing took place in the facilities of the Frauenklinik, University of Tübingen, on an Illumina HiSeq2500 for 2×101+8 cycles and at the facilities of the University of Kiel on a HiSeq4000 for 2×150+8 cycles. One UDG-treated library (I0071) was sent to Boston for nuclear target enrichment, see below.
Boston
The bone powders, prepared from petrous bones in Dublin, were sent to Boston, where DNA extractions and barcoded library preparations without Uracil-removal was performed in the HMS cleanroom following previously described protocols[34-36]. At the screening stage, libraries were (a) shotgun sequenced, and (b) sequenced after enriching for the human mitochondrial DNA[37] together with some nuclear loci in order to approximate the nuclear coverage and mitochondrial contamination. All four libraries (barcoded) prepared in Boston, three libraries (indexed) prepared in Leipzig and one library (indexed) prepared in Tuebingen, were used to perform 390k6 and 840k19 or 1240k (= 390k+840k) targeted capture of a total of 1,233,013 SNPs, following the in-solution target enrichment protocol in Fu at al.[18] and sequenced on either an Illumina HiSeq2500 or Illumina NextSeq500 (see Supplementary Data Table 1 for details).For each sample, each SNP position is represented by a randomly chosen sequence, restricting to those with a minimum mapping quality (MAPQ≥10), sites with a minimum sequencing quality (≥20), and removing two bases at the ends of reads[4].
Testing for contamination
Modern human contamination of the mitochondrial DNA was assessed using the software schmutzi[38] which takes into account that the consensus sequence should be reconstructed from reads showing characteristics of ancient DNA and originating from a single individual (Supplementary Data Table 2). We assessed contamination by examining heterozygosity on the X-chromosome in five males (which possess only one copy of the X chromosome) using ANGSD[39] (Supplementary Information, section 3); this was in the range of 0.3–4%. Indirect evidence that the females in our dataset (for which X-chromosome based contamination estimation is impossible) are authentic is furnished by their clustering with male samples and distinctiveness from present-day Greek or central European populations that may have possibly contaminated them (Fig. 1b). We also computed f4-statistics of the form f4(Males, Females; Test, Chimp) for populations that had both male and female individuals for all ancient or present-day Test populations in our dataset. If female samples were substantially contaminated from a source related to Test these statistics would be significantly negative; however we find that the Z-score of these statistics is −1.68].
Modern human data
We used a dataset of 2,614 individuals genotyped on the Affymetrix Human Origins array[4,5,10,31], including 28 Modern Greek (from Greece and Cyprus) samples previously described[10]. We also included data from 2 Modern Greeks from Crete whose whole genome sequences were published as part of the Simons Genome Diversity Project[40]. We also analyzed Modern Greek data from Thessaly and Central Greece[41] and diverse regions[27,42] genotyped on Illumina arrays.
Datasets
We analyzed two datasets, HO which includes the Affymetrix Human Origins genotyping data together with 351 ancient humans (including samples from the literature[1-5,7-10,16,17,43-51] and the newly reported data) on 591,642 autosomal SNPs and the HOIll dataset which does not include the Human Origins data, but has a larger number of 1,054,671 autosomal SNPs[4]. We did not use previously performed genotype calls of literature data, but re-processed them in-house, beginning with the original data release format (FASTQ or BAM). The main analysis dataset was HOIll except for analyses that include modern populations in which case the HO dataset was analyzed. For the analysis of Illumina genotype data of Modern Greeks (Extended Data Fig. 6) a total of 489,148 autosomal SNPs were analyzed.
Abbreviations used
For brevity, we used the following abbreviations in population names, following the convention of ref.4: CHG: Caucasus hunter-gatherers, EHG: Eastern European hunter-gatherers, WHG: Western European hunter-gatherers, SHG: Scandinavian hunter-gatherers, N: Neolithic, EN: Early Neolithic, MN: Middle Neolithic, ChL: Chalcolithic, LNBA: Late Neolithic/Bronze Age, BA: Bronze Age, EBA: Early Bronze Age, EMBA: Early/Middle Bronze Age, MLBA: Middle/Late Bronze Age, IA: Iron Age.
Principal components analysis
Principal components analysis was performed in the smartpca program of EIGENSOFT[20], using default parameters and the lsqproject: YES[10] and numoutlieriter: 0 options. PCA was performed on 1,029 present-day West Eurasians and 334 ancient samples were projected (Fig. 1b); Upper Paleolithic individuals prior to the appearance of the Villabruna cluster[8] plot in the middle of present-day West Eurasian variation and are not shown.
ADMIXTURE analysis
ADMIXTURE analysis[52] of the HO dataset was performed after pruning for linkage disequilibrium in PLINK[53,54] with parameters indep-pairwise 200 25 0.4, after which 299,971 SNPs were retained. Twenty replicates of the analysis were performed with different random seeds, and the highest likelihood replicate for each value of K was retained. We show the K =2 to K=17 results for the 351 ancient and 30 Modern Greek samples in Extended Data Fig. 1.
f-statistics
f3 and f4-statistics were computed in ADMIXTOOLS[31] using programs qp3Pop, qpF4ratio with default parameters, and qpDstat with f4mode: YES. Standard errors were computed with a block jack-knife[55]. When an ancient population was the target for f3-statistics we set inbreed: YES parameter, as our data are represented by pseudo-haploid genotypes which introduce artificial genetic drift that masks the negative signal of admixture[31].
Testing for the number of streams of ancestry and estimating mixture proportions
We used the qpWave[6,56,57]/qpAdm[6] framework which relates a set of ‘left’ populations (the population of interest and candidate ancestral sources) to a set of ‘right’ populations (diverse outgroups), testing for the number of streams of ancestry from ‘right’ to ‘left’ and estimating mixture proportions.
Simulations of admixed individuals
We simulated admixed individuals (Supplementary Information, section 2) given a set of sources and mixture proportions by first sampling (at each SNP) one of the sources (according to the mixture proportions), and then one of the individuals from that population (with equal probability). Due to missingness, the data-generating mixture proportions do not correspond precisely to the actual ancestry of simulated individuals (Supplementary Information, section 2). We note the maximum absolute value of the Z-score of the statistic f4(Mycenaean, Simulated; A, B), where A, B are two outgroup populations to test whether for a particular choice of ancestry of Simulated it forms a clade with the sampled Mycenaeans.
Estimation of FST coefficients
We estimated FST in smartpca[20] with the default parameters, inbreed: YES[57], and fstonly: YES.
Phenotypic inference
The ancient samples have low coverage (median 0.87×) and thus diploid genotypes cannot be reliably assessed for them. However, we can use the low coverage data to compute allele frequencies in all individuals and the Bronze Age Aegean using likelihood approach[1]. We then sample from the posterior distribution of the genotypes g given the read counts r of the reference allele and t of the total reads covering a site. We took 100 random genotype samples per individuals and submitted them to HIrisPlex[26], obtaining an estimate of the uncertainty of phenotype inference (Supplementary Information, section 4; Extended Data Table 4).
ADMIXTURE analysis
ADMIXTURE analysis with K=2 to K=17 is shown. 351 ancient and 2,616 present-day individuals were used in this analysis; ancient samples and present-day Greeks are displayed. To avoid visual clutter of labels, individuals in populations with sample size ≤5 are shown with thicker lines.
Symmetry testing of Aegean Bronze Age populations
The statistic f4(X, Y; Test, Chimp) is shown with ±3 standard errors. Each panel is titled with the pair X, Y. Populations are ordered according to the value of the statistic. Positive values indicate that Test shares more alleles with X than Y and negative values that it shares more with Y than X. (a) ‘northern’ and ‘eastern’ populations share more alleles with Minoans than with Neolithic Greece. (b) ‘northern’ and ‘eastern’ populations share more alleles with Mycenaeans than with Neolithic Greece. (c) Minoans from Lasithi and Moni Odigitria are symmetrically related to diverse populations. (d) Neolithic populations from Anatolia, Europe, Greece, and the Levant share fewer alleles with Mycenaeans than with Minoans.
Symmetry testing of Anatolian Bronze Age populations
The statistic f4(X, Y; Test, Chimp) is shown with ±3 standard errors. Each panel is titled with the pair X, Y. Populations are ordered according to the value of the statistic. Positive values indicate that Test shares more alleles with X than Y and negative values that it shares more with Y than X. (a) European, Siberian, and Caucasus hunter-gatherers share fewer alleles with Bronze Age Anatolians from Harmanören Göndürle than with a Chalcolithic Anatolian from Barcın. (b) Bronze Age Anatolians differ from Neolithic ones in sharing more alleles with populations of Iran, the Caucasus, and the Steppe than with those of Europe. (c) Bronze Age Anatolians differ from Minoans in sharing more alleles with populations from Neolithic Iran than Neolithic Anatolia and Europe. (d) Bronze Age Anatolians differ from Mycenaeans in sharing more alleles with Neolithic and Bronze Age populations of the Levant.
f3-statistics of Mycenaeans as a target with different pairs of reference populations
We show the value of the statistic f3(Ref1, Ref2; Mycenaean) and ±3 standard errors; only the population pairs (Ref1, Ref2) for which the Z-score of the statistic is <−2 are shown. Negative values indicate that the Mycenaean population is admixed from sources related to the two reference populations.
Correspondence of qpAdm estimates with PCA
As a way to validate qpAdm models of admixture for Myceneans from three ancestral populations (Anatolia_N or Minoan_Lasithi), (Armenia_ChL or Armenia_MLBA), (Steppe_EMBA, Steppe_MLBA, Europe_LNBA), representing substratum, ‘eastern’, and ‘northern’ ancestry respectively (Supplementary Information, section 2), we plot the qpAdm-predicted position in the PCA space of Fig. 1 vs. the actual position of the Mycenaean population.
Comparison of Mycenaeans and simulated admixed populations
We simulate admixed individuals with known ancestry from three ancestral populations (Anatolia_N or Minoan_Lasithi), (Armenia_ChL or Armenia_MLBA), (Steppe_EMBA, Steppe_MLBA, Europe_LNBA), representing substratum, ‘eastern’, and ‘northern’ ancestry respectively (Methods; Supplementary Information, section 2). The maximum |Z|-score of statistics f4(Mycenaean, Simulated; Outgroup1, Outgroup2) is plotted with circles of varying size (proportional to log|Z|) for each assignment of ancestry proportions. The best estimate (red) corresponds to the proportions that minimize |Z|, and they are compared against the qpAdm estimate for the same ancestral sources (blue).
FST between Bronze Age and present-day West Eurasian populations
(a) The population of Early Bronze Age Armenia[4] shows an affinity to present-day populations from Armenia, Anatolia, the Caucasus, and Iran, as does (b) Middle/Late Bronze Age Armenia[4,9]. (c) The Bronze Age Levant[4] has an affinity to Levantine and Arabian populations. (d) Late Neolithic/Bronze Age Europeans[1,6,9,43] most resemble present-day northern/central Europeans, as do (e) Early/Middle Bronze Age steppe populations[1,6,9], who also resemble populations of the northeast Caucasus, while (f) Middle/Late Bronze Age steppe populations resemble central/northern Europeans[1,9]. Jewish populations are plotted with a square to distinguish them from non-Jewish populations from the same geographical area. The plots for the newly reported populations of Mycenaeans, Minoans, and Bronze Age Anatolians are shown in Fig. 2.
Symmetry testing of Mycenaeans with Modern Greek populations
The statistic f4(Mycenaean, Modern Greek; Test, Chimp) is shown with ±3 standard errors. Modern Greeks share fewer alleles with Levantine/Anatolian/European Neolithic populations and with Minoans than Mycenaeans do, suggesting a dilution of early Neolithic ancestry since the Bronze Age. Human Origins genotype data: (a) Greeks from the Coriell repository[10], (b) Greeks from Thessaloniki[10], (c) Cypriots[10]. Whole genome data: (d) Cretans[40]. Illumina genotype data: (e) Greeks from Thessaly[41], (f) Greeks from Central Greece[41], (g) Greeks from the study by Hellenthal et al.[27]
Information on ancient samples reported in this study
Dates marked simply as BCE are based on the associated archaeology of the samples. Dates marked as calBCE are based on radiocarbon dating of the samples (Supplementary Information, section 1).
Phenotypic inference of ancient individuals
We list the probability assignments for different phenotypes by HIrisPlex[26] and an assessment of the phenotype. We generate 100 random replicates of the genotypes of each individual, listing the standard deviation in parentheses (Supplementary Information, section 4).
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Authors: Margaret L Antonio; Ziyue Gao; Hannah M Moots; Ron Pinhasi; Jonathan K Pritchard; Michaela Lucci; Francesca Candilio; Susanna Sawyer; Victoria Oberreiter; Diego Calderon; Katharina Devitofranceschi; Rachael C Aikens; Serena Aneli; Fulvio Bartoli; Alessandro Bedini; Olivia Cheronet; Daniel J Cotter; Daniel M Fernandes; Gabriella Gasperetti; Renata Grifoni; Alessandro Guidi; Francesco La Pastina; Ersilia Loreti; Daniele Manacorda; Giuseppe Matullo; Simona Morretta; Alessia Nava; Vincenzo Fiocchi Nicolai; Federico Nomi; Carlo Pavolini; Massimo Pentiricci; Philippe Pergola; Marina Piranomonte; Ryan Schmidt; Giandomenico Spinola; Alessandra Sperduti; Mauro Rubini; Luca Bondioli; Alfredo Coppa Journal: Science Date: 2019-11-08 Impact factor: 47.728
Authors: Mary E Prendergast; Mark Lipson; Elizabeth A Sawchuk; Iñigo Olalde; Christine A Ogola; Nadin Rohland; Kendra A Sirak; Nicole Adamski; Rebecca Bernardos; Nasreen Broomandkhoshbacht; Kimberly Callan; Brendan J Culleton; Laurie Eccles; Thomas K Harper; Ann Marie Lawson; Matthew Mah; Jonas Oppenheimer; Kristin Stewardson; Fatma Zalzala; Stanley H Ambrose; George Ayodo; Henry Louis Gates; Agness O Gidna; Maggie Katongo; Amandus Kwekason; Audax Z P Mabulla; George S Mudenda; Emmanuel K Ndiema; Charles Nelson; Peter Robertshaw; Douglas J Kennett; Fredrick K Manthi; David Reich Journal: Science Date: 2019-05-30 Impact factor: 47.728
Authors: Richard P Evershed; George Davey Smith; Mélanie Roffet-Salque; Adrian Timpson; Yoan Diekmann; Matthew S Lyon; Lucy J E Cramp; Emmanuelle Casanova; Jessica Smyth; Helen L Whelton; Julie Dunne; Veronika Brychova; Lucija Šoberl; Pascale Gerbault; Rosalind E Gillis; Volker Heyd; Emily Johnson; Iain Kendall; Katie Manning; Arkadiusz Marciniak; Alan K Outram; Jean-Denis Vigne; Stephen Shennan; Andrew Bevan; Sue Colledge; Lyndsay Allason-Jones; Luc Amkreutz; Alexandra Anders; Rose-Marie Arbogast; Adrian Bălăşescu; Eszter Bánffy; Alistair Barclay; Anja Behrens; Peter Bogucki; Ángel Carrancho Alonso; José Miguel Carretero; Nigel Cavanagh; Erich Claßen; Hipolito Collado Giraldo; Matthias Conrad; Piroska Csengeri; Lech Czerniak; Maciej Dębiec; Anthony Denaire; László Domboróczki; Christina Donald; Julia Ebert; Christopher Evans; Marta Francés-Negro; Detlef Gronenborn; Fabian Haack; Matthias Halle; Caroline Hamon; Roman Hülshoff; Michael Ilett; Eneko Iriarte; János Jakucs; Christian Jeunesse; Melanie Johnson; Andy M Jones; Necmi Karul; Dmytro Kiosak; Nadezhda Kotova; Rüdiger Krause; Saskia Kretschmer; Marta Krüger; Philippe Lefranc; Olivia Lelong; Eva Lenneis; Andrey Logvin; Friedrich Lüth; Tibor Marton; Jane Marley; Richard Mortimer; Luiz Oosterbeek; Krisztián Oross; Juraj Pavúk; Joachim Pechtl; Pierre Pétrequin; Joshua Pollard; Richard Pollard; Dominic Powlesland; Joanna Pyzel; Pál Raczky; Andrew Richardson; Peter Rowe; Stephen Rowland; Ian Rowlandson; Thomas Saile; Katalin Sebők; Wolfram Schier; Germo Schmalfuß; Svetlana Sharapova; Helen Sharp; Alison Sheridan; Irina Shevnina; Iwona Sobkowiak-Tabaka; Peter Stadler; Harald Stäuble; Astrid Stobbe; Darko Stojanovski; Nenad Tasić; Ivo van Wijk; Ivana Vostrovská; Jasna Vuković; Sabine Wolfram; Andrea Zeeb-Lanz; Mark G Thomas Journal: Nature Date: 2022-07-27 Impact factor: 69.504
Authors: Nina Marchi; Laura Winkelbach; Ilektra Schulz; Maxime Brami; Zuzana Hofmanová; Jens Blöcher; Carlos S Reyna-Blanco; Yoan Diekmann; Alexandre Thiéry; Adamandia Kapopoulou; Vivian Link; Valérie Piuz; Susanne Kreutzer; Sylwia M Figarska; Elissavet Ganiatsou; Albert Pukaj; Travis J Struck; Ryan N Gutenkunst; Necmi Karul; Fokke Gerritsen; Joachim Pechtl; Joris Peters; Andrea Zeeb-Lanz; Eva Lenneis; Maria Teschler-Nicola; Sevasti Triantaphyllou; Sofija Stefanović; Christina Papageorgopoulou; Daniel Wegmann; Joachim Burger; Laurent Excoffier Journal: Cell Date: 2022-05-12 Impact factor: 66.850
Authors: Peter de Barros Damgaard; Rui Martiniano; Jack Kamm; J Víctor Moreno-Mayar; Guus Kroonen; Michaël Peyrot; Gojko Barjamovic; Simon Rasmussen; Claus Zacho; Nurbol Baimukhanov; Victor Zaibert; Victor Merz; Arjun Biddanda; Ilja Merz; Valeriy Loman; Valeriy Evdokimov; Emma Usmanova; Brian Hemphill; Andaine Seguin-Orlando; Fulya Eylem Yediay; Inam Ullah; Karl-Göran Sjögren; Katrine Højholt Iversen; Jeremy Choin; Constanza de la Fuente; Melissa Ilardo; Hannes Schroeder; Vyacheslav Moiseyev; Andrey Gromov; Andrei Polyakov; Sachihiro Omura; Süleyman Yücel Senyurt; Habib Ahmad; Catriona McKenzie; Ashot Margaryan; Abdul Hameed; Abdul Samad; Nazish Gul; Muhammad Hassan Khokhar; O I Goriunova; Vladimir I Bazaliiskii; John Novembre; Andrzej W Weber; Ludovic Orlando; Morten E Allentoft; Rasmus Nielsen; Kristian Kristiansen; Martin Sikora; Alan K Outram; Richard Durbin; Eske Willerslev Journal: Science Date: 2018-05-09 Impact factor: 47.728
Authors: Vagheesh M Narasimhan; Nick Patterson; Priya Moorjani; Nadin Rohland; Rebecca Bernardos; Swapan Mallick; Iosif Lazaridis; Nathan Nakatsuka; Iñigo Olalde; Mark Lipson; Alexander M Kim; Luca M Olivieri; Alfredo Coppa; Massimo Vidale; James Mallory; Vyacheslav Moiseyev; Egor Kitov; Janet Monge; Nicole Adamski; Neel Alex; Nasreen Broomandkhoshbacht; Francesca Candilio; Kimberly Callan; Olivia Cheronet; Brendan J Culleton; Matthew Ferry; Daniel Fernandes; Suzanne Freilich; Beatriz Gamarra; Daniel Gaudio; Mateja Hajdinjak; Éadaoin Harney; Thomas K Harper; Denise Keating; Ann Marie Lawson; Matthew Mah; Kirsten Mandl; Megan Michel; Mario Novak; Jonas Oppenheimer; Niraj Rai; Kendra Sirak; Viviane Slon; Kristin Stewardson; Fatma Zalzala; Zhao Zhang; Gaziz Akhatov; Anatoly N Bagashev; Alessandra Bagnera; Bauryzhan Baitanayev; Julio Bendezu-Sarmiento; Arman A Bissembaev; Gian Luca Bonora; Temirlan T Chargynov; Tatiana Chikisheva; Petr K Dashkovskiy; Anatoly Derevianko; Miroslav Dobeš; Katerina Douka; Nadezhda Dubova; Meiram N Duisengali; Dmitry Enshin; Andrey Epimakhov; Alexey V Fribus; Dorian Fuller; Alexander Goryachev; Andrey Gromov; Sergey P Grushin; Bryan Hanks; Margaret Judd; Erlan Kazizov; Aleksander Khokhlov; Aleksander P Krygin; Elena Kupriyanova; Pavel Kuznetsov; Donata Luiselli; Farhod Maksudov; Aslan M Mamedov; Talgat B Mamirov; Christopher Meiklejohn; Deborah C Merrett; Roberto Micheli; Oleg Mochalov; Samariddin Mustafokulov; Ayushi Nayak; Davide Pettener; Richard Potts; Dmitry Razhev; Marina Rykun; Stefania Sarno; Tatyana M Savenkova; Kulyan Sikhymbaeva; Sergey M Slepchenko; Oroz A Soltobaev; Nadezhda Stepanova; Svetlana Svyatko; Kubatbek Tabaldiev; Maria Teschler-Nicola; Alexey A Tishkin; Vitaly V Tkachev; Sergey Vasilyev; Petr Velemínský; Dmitriy Voyakin; Antonina Yermolayeva; Muhammad Zahir; Valery S Zubkov; Alisa Zubova; Vasant S Shinde; Carles Lalueza-Fox; Matthias Meyer; David Anthony; Nicole Boivin; Kumarasamy Thangaraj; Douglas J Kennett; Michael Frachetti; Ron Pinhasi; David Reich Journal: Science Date: 2019-09-06 Impact factor: 47.728
Authors: Florian Clemente; Martina Unterländer; Olga Dolgova; Carlos Eduardo G Amorim; Francisco Coroado-Santos; Samuel Neuenschwander; Elissavet Ganiatsou; Diana I Cruz Dávalos; Lucas Anchieri; Frédéric Michaud; Laura Winkelbach; Jens Blöcher; Yami Ommar Arizmendi Cárdenas; Bárbara Sousa da Mota; Eleni Kalliga; Angelos Souleles; Ioannis Kontopoulos; Georgia Karamitrou-Mentessidi; Olga Philaniotou; Adamantios Sampson; Dimitra Theodorou; Metaxia Tsipopoulou; Ioannis Akamatis; Paul Halstead; Kostas Kotsakis; Dushka Urem-Kotsou; Diamantis Panagiotopoulos; Christina Ziota; Sevasti Triantaphyllou; Olivier Delaneau; Jeffrey D Jensen; J Víctor Moreno-Mayar; Joachim Burger; Vitor C Sousa; Oscar Lao; Anna-Sapfo Malaspinas; Christina Papageorgopoulou Journal: Cell Date: 2021-04-29 Impact factor: 41.582
Authors: Tara Ingman; Stefanie Eisenmann; Eirini Skourtanioti; Murat Akar; Jana Ilgner; Guido Alberto Gnecchi Ruscone; Petrus le Roux; Rula Shafiq; Gunnar U Neumann; Marcel Keller; Cäcilia Freund; Sara Marzo; Mary Lucas; Johannes Krause; Patrick Roberts; K Aslıhan Yener; Philipp W Stockhammer Journal: PLoS One Date: 2021-06-30 Impact factor: 3.240