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Incongruity between Affinity Patterns Based on Mandibular and Lower Dental Dimensions following the Transition to Agriculture in the Near East, Anatolia and Europe

Incongruity between Affinity Patterns Based on Mandibular and Lower Dental Dimensions following the Transition to Agriculture in the Near East, Anatolia and Europe

  • Ron Pinhasi, 
  • Vered Eshed, 
  • Noreen von Cramon-Taubadel


While it has been suggested that malocclusion is linked with urbanisation, it remains unclear as to whether its high prevalence began 8,000 years earlier concomitant with the transition to agriculture. Here we investigate the extent to which patterns of affinity (i.e., among-population distances), based on mandibular form and dental dimensions, respectively, match across Epipalaeolithic, Mesolithic, and Neolithic samples from the Near East/Anatolia and Europe. Analyses were conducted using morphological distance matrices reflecting dental and mandibular form for the same 292 individuals across 21 archaeological populations. Thereafter, statistical analyses were undertaken on four sample aggregates defined on the basis of their subsistence strategy, geography, and chronology to test for potential differences in dental and mandibular form across and within groups. Results show a clear separation based on mandibular morphology between European hunter-gatherers, European farmers, and Near Eastern transitional farmers and semi-sedentary hunter-gatherers. In contrast, the dental dimensions show no such pattern and no clear association between the position of samples and their temporal or geographic attributes. Although later farming groups have, on average, smaller teeth and mandibles, shape analyses show that the mandibles of farmers are not simply size-reduced versions of earlier hunter-gatherer mandibles. Instead, it appears that mandibular form underwent a complex series of shape changes commensurate with the transition to agriculture that are not reflected in affinity patterns based on dental dimensions. In the case of hunter-gatherers there is a correlation between inter-individual mandibular and dental distances, suggesting an equilibrium between these two closely associated morphological units. However, in the case of semi-sedentary hunter-gatherers and farming groups, no such correlation was found, suggesting that the incongruity between dental and mandibular form began with the shift towards sedentism and agricultural subsistence practices in the core region of the Near East and Anatolia.


Malocclusion is a condition caused by dental crowding and malposed teeth, that is very common among modern-day world populations, with an average prevalence of 20% [1]. Malocclusion can also be caused by vertical discrepancies, skeletal asymmetries, and other congenital and developmental conditions [2,3]. However, in the great majority of cases it is caused by disparity between jaw size and total tooth-arch length [4]. The condition has been described as the “malady of civilization” [5] and it has been hypothesized that the high prevalence of malocclusion and some of its related conditions (dental crowding, dental rotation) are associated with urbanization and, in some cases, industrialization [6,7]. The main factor believed to underlie this increase in the prevalence of malocclusion is an overall reduction in chewing stress, especially during mandibular and craniofacial growth, resulting in an incongruity between the size of the dental arcade and the jaw [6]. The etiological basis of this incongruity is the capacity of the (osseous) jaw tissue to react during ontogeny to changes in functional demands (phenotypic plasticity) while dental tissue does not remodel in response to biomechanical stress [8].

The relationship between diet, mastication, and occlusal variability in humans is supported by several experimental investigations (cf. [8,9,10], and references therein). It has also been pointed out that the lack of fit between the jaw and dental dimensions cannot be attributed to a reduction in dental wear, for if this were the case then young adults from hunter-gatherer populations with relatively low wear should experience a higher prevalence of malocclusion [7].

The genetic basis of malocclusion is not fully understood due, to some extent, to the lack of clear parameterization of the various morphological components involved. However, estimations of genetic variance and heritability of occlusal variables (i.e. dental, craniofacial, and mandibular dimensions) in monozygotic vs. dizygotic twins shows a considerable amount of environmental influence in the case of most traits [11,12,13], consistent with plastic changes in the upper and lower jaw in response to chewing stress. An array of studies of occlusal variation in various contemporary hunter-gatherer groups that experienced rapid acculturation following contact with western industrial societies indicate that malocclusion is the outcome of non-additive environmental rather than genetic factors in the majority of cases [14,15]. Indeed, increases in the prevalence of malocclusion during the time-span of one generation have been reported for Inuit groups [16,17,18], Native Americans from Florida [19], Australian aborigines [20,21] and South American Indians [22]. Among western societies, a study comparing dental and mandibular dimensions of parents and offspring from 150 English families indicated a secular increase in dental dimensions concurrent with a secular decrease in mandibular dimensions [23]. These opposed secular trends in dental and mandibular size would be consistent with consequent secular increase in the prevalence of malocclusion.

The dentition of hunter-gatherers differs from agriculturalists in several key aspects: larger overall crown size [24,25]; pronounced occlusal and interproximal tooth wear [26,27]; near absence of malocclusion and dental crowing [7,28]; and the low prevalence of certain oral pathologies [8]. Nevertheless, dental crowding was recently reported in an early anatomically modern human from Qafzeh cave, Israel dated to ~100,000 years ago [29], suggesting that malocclusion in humans is not a recent phenomenon. However, the particular period in human prehistory in which dental crowding became a common rather than a rare condition remains to be investigated.

Given the etiological link between chewing (masticatory) stress, diet, and related dental wear patterns [5,30], it seems logical to hypothesise that the time period during which malocclusion became more prevalent lies in the prehistoric transition from hunting/gathering to agriculture. The degree and type of dental wear are affected by the characteristics of the food and by the manner of its preparation [31]. The transition to agriculture is associated with an increased reliance on cooked food, and a reduction in consumption of wild plant and animal resources [24]. The Levant is a region in which agriculture first emerged in situ at the onset of the Holocene, ~11,800 cal BP [32]. The transition to agriculture is associated with the Natufian culture (15,000–11,600 cal BP [33]), who were semi-sedentary hunters-cultivators settled within or near woodland. There is palaeobotanical and other archaeological evidence for the intensified cultivation and processing of wild cereals at Natufian sites, as well as investment in permanent structures assumed to be associated with sedentism [34,35]. The most common evidence for intensive processing is the high percentage of sites with stone mortars (70–80% in Natufian sites) [34, 36]. Following the onset of farming during the Pre-Pottery Neolithic A (PPNA, 11,600–10,500 cal BP) there is a shift to a mode of subsistence combining reliance on cultivation of domestic cereals and legumes, the collection of wild seeds and fruits, and hunting [37]. During the subsequent Early, Middle and Late PPNB periods (10,500–8,750 cal BP), the subsistence base shifted to include domestic cereals and a growing reliance on domesticated livestock (cattle, pigs, goats, and sheep). The Pre-Pottery Neolithic C (PPNC, or alternatively Final PPNB, 8,750–8,400 cal BP) was a short transitional period, which is associated with the gradual decline of the PPNB, whether as a response to climatic changes, demographic pressures including diseases, and/or declining yields [33,38].

In a previous study, Pinhasi et al. [39] assessed diachronic reduction patterns in dental and mandibular dimensions of these Levantine populations by analyzing linear regressions of mesiodistal and buccolingal dental dimensions over time. Results indicated a significant reduction in the buccolingual but not mesiodistal dimensions and found changes in ramus breadth and anterior height dimensions of the mandible but not in its overall size. Another study [40] applied the same methods to look at dental reduction patterns among Central European populations from the onset of the Upper Paleolithic until the end of the Neolithic period, showing a different reduction trend in which all slopes of both mesiodistal and buccolingual were significant, but in which the reduction was, on average, 12 times less pronounced than in the buccolingual dimensions of the Levantine populations. These analyses, however, did not compare among-population affinity patterns for the mandibular and dental dimensions and could not detect the particular archaeological period during which these patterns changed, following the transition to agriculture.

Here we investigate between-population distances based on mandibular and dental dimensions in terms of both form (raw data) and shape (size scaled data). Given the vagaries of the available archaeological data for the time period and geographic regions of interest, we also consider statistical patterns of shape and size variation between four broadly defined groups: Upper Palaeolithic and Mesolithic European hunter-gatherers, Neolithic and Eneolithic farmers, and two Levantine transitional groups comprising pre-agricultural (semi-sedentary) hunter-gatherers and transitional farming populations. The assessment of these key chronologically and geographically defined groups allowed us to assess two possibilities. Firstly, was the onset of any incongruity between dental and mandibular form specifically related to the onset of agriculture in the Levant during the Pre-Pottery Neolithic period? Alternatively, is there evidence of incongruity between the dentition and lower jaw across all groups in the Levant and Europe, irrespective of their subsistence strategy? The key benefit of the approach employed here is that the mandibular and dental data are taken from exactly the same individuals. Our a priori expectation is that dental and mandibular morphological variation between-groups should reflect the same microevolutionary population history of genetic drift, gene flow, and migration. Therefore, we expect between-group affinity (distance) matrices based on dental and mandibular dimensions to be highly congruent.


A dataset of mandibular and crown dimensions was collated from data obtained from a previous study [39] and from previously published sources [41] for 292 Epipalaeolithic, Mesolithic, and Neolithic/Eneolithic samples from the Near East, Anatolia and Europe, spanning a time period between ~28,000–6,000 BP. These samples were assigned to 21 Operational Taxonomic Units (OTUs) based on their broad archaeological, chronological and geographical characteristics (Table 1), such that reasonable sample sizes could be obtained for each OTU.

Table 1. Specimens analysed in this study by period, OTU (Operational taxonomic unit) or group.

Buccolingual and mesiodistal dimensions were recorded in millimetres using the method of Moorrees [42] for the mandibular canines, premolars and molars for each individual. All left-sided teeth were measured except when missing, worn, or poorly preserved. In such cases, the right side antimeres were used instead. Loose dentition that could be assigned to the correct anatomical position was also measured when associated archaeological documentation indicated that it belonged to a single specimen. We excluded all mesiodistal dimensions when inter-proximal wear or pathology resulted in reduction of the overall crown length and buccolingual dimensions when occlusal wear or pathology reduced the overall crown height below the point at which maximum breadth dimension appear to have been located (cf. [43]).

Nine mandibular dimensions (mm) were measured on each specimen based on the standard methodology specified by Bräuer [44] and based on the system of Martin [45]. See Fig. 1 for a visual description of the measurements taken.

Fig 1. Nine mandibular dimensions recorded following Bräuer (1988).

1. Ramus height (in projection). 2. Ramus breadth. 3. Maximum mandibular length (in projection). 4. Gonial breadth. 5. Bicondylar breadth. 6. Anterior height. 7. Anterior thickness. 8. Corpus height at M1/M2. 9. Corpus thickness at M1/M2.

For the purposes of statistical analysis and visualisation of morphological affinity patterns between the mandibular and dental datasets, the 21 OTUs were split into one of four pre-defined groupings (see Table 1). These four groups were: (1) Non-Levantine Upper Palaeolithic and Mesolithic hunter-gatherers (“Hunter-gatherers”). (2) Levantine pre-agricultural semi-sedentary hunter-gatherers (“Semi-sedentary hunter-gatherers”). (3) Levantine Pre-Pottery Neolithic farmers (“Transitional farmers”) and (4) Non-Levantine Neolithic and Eneolithic farmers (“Farmers”).


Within each of the two morphological datasets, only those individuals with data present for at least 70% of the measurements were included in the analysis. Importantly, all 292 specimens contributed both mandibular and dental data thereby allowing us to assess any pattern of incongruity between the two datasets. Missing data were estimated for the mandibular and dental datasets separately in SPSS v. 20 using multiple linear regressions, within sexes where possible and using the specimens with a complete set of measurements within each OTU.

The mandibular and dental datasets were separately adjusted for isometric scaling via division of each measurement by the geometric mean of all measurements for that individual specimen [46,47]. Distance matrices for the dental and mandibular datasets were then generated for both the raw (not size-adjusted) data and the new shape variables following the method of Relethford and Blangero [48]. This method uses a quantitative genetic model to estimate pairwise population affinities (distance) under certain assumptions of trait heritability based on the analogous measure developed by Harpending and Ward [49]. Here, we took the conservative approach of assuming complete trait heritability (h2 = 1), thereby using a minimum estimate of genetic distance among all OTUs. However, it is worth stating that the choice of heritability value does not affect the proportional structure of the resultant distance matrix nor, therefore, the results of any correlations between the matched dental and the mandibular data (see also [50]). Major affinity patterns among OTUs were visualised using principal co-ordinates analysis, with individual OTUs labelled according to the four major groupings described above. The freeware RMET 5.0 was used to construct distance matrices and to conduct subsequent principal co-ordinates analysis.

The strength of correlation between the dental and the mandibular distance matrices was assessed using Mantel tests [51] with 10,000 permutations used to assess significance (α = 0.05) using the software PASSaGE 2.0 (

ANOVA with posthoc Bonferroni-adjusted analyses were used to test for differences in the overall size (based on the geometric mean) of the dentition and mandibles among the four pre-defined groups. Given the differences in sample size among the four groups, Levene’s test was first employed to test for significant differences in size variance across groups. Mandibular size (geometric mean) was found not to be significantly different in terms of variance (p = 0.0865) so the parametric ANOVA was employed. Dental size was found to vary significantly among groups (p = 0.276) so the non-parametric Kruskal-Wallis test was employed instead. MANOVA with posthoc Bonferroni-adjusted analyses was used to assess any significant differences in mandibular shape attributes among the four groups. All statistical tests were conducted using SPSS v. 20.

Finally, a post-hoc analysis was performed to assess whether the four pre-defined groups differed in terms of their internal congruence between mandibular and dental form. Between-individual distances were calculated as Euclidean distances based on the mandibular shape data and the raw dental data in PAST v 2.17 [52]. Mantel tests were performed in PASSaGE 2.0 to assess the correlation between the mandibular and dental inter-individual distance matrices.


The plot of the first two principal coordinates for mandibular form (raw data) indicates a separation based on mandibular morphology between all hunter-gatherers (positive PCO1 scores) and European agriculturalists (negative PCO1 scores) (Fig. 2). PCO2 separates between the Levantine transitional farmers and pre-agricultural hunter-gatherers and the European hunter-gatherers and farmers. The plot of the first two principal coordinates for the size-adjusted mandibular shape variables shows the same basic pattern (S1 Fig.).

Fig 2. Plot of the first two principal co-ordinates (explaining 62.6 and 16.9% of variation, respectively) based on mandibular form (raw data).

Principal co-ordinates analysis of the raw dental dimensions did not show the same pattern seen in the case of the mandibular dimensions (Fig. 3). There is a general decline in overall size (PCO1) with smaller dental dimensions among European farmers and larger dimensions among the remaining three dietary and geographic groups. This result is supported by the results of a Kruskal-Wallis test which showed that tooth size is significantly different among the four main groups, with posthoc Mann Whitney U analyses (Bonferroni adjusted) finding that all three pre-farming and transitional groups had significantly larger dentition than the farmers, but were not significantly different from each other in terms of dental size variation (Table 2). The results of the ANOVA carried out on mandibular size was also significant (p < 0.001) with post-hoc analyses showing that the two hunter-gatherer groups and the transitional farmers all had significantly larger mandibles than the farmers, although there was no significant differences among the three pre- or transitional farming groups (Table 2).

Fig 3. Plot of the first two principal co-ordinates (explaining 46.7 and 23.7% of variation, respectively) based on raw mesiodistal and buccolingual dental dimensions.

Table 2. Results of Kruskal-Wallis test of dental size and the ANOVA of mandibular size differences.

The results of the Mantel tests found no significant relationship between population distances based on dental form and mandibular form (r = 0.224, p = 0.218) nor between population distances based on dental shape and mandibular shape (r = 0.0631, p = 0.541). As might be expected, the only distance matrices that were significantly correlated were dental shape and form (r = 0.854, p = 0.0001) and mandibular shape and form (r = 0.991, p = 0.0001). The results of the MANOVA were also significant showing shape differences among the four groups (Pillai’s Trace p<0.001; Wilk’s Lambda p<0.001). Post-hoc tests applying Bonferroni correction show a complex pattern of affinity based on mandibular shape (Table 3). Fig. 4 illustrates the major shape differences among the four groups. It is clear from these results that although farmers have (on average) smaller mandibles than the hunter-gatherer and transitional farming OTUs this is not an instance of isometric scaling as the patterns of shape transformations differ depending on which variable is being considered. The only two variables where farmers differ significantly to the exclusion of all other groups are Ramus Height and Bicondylar Breadth. Farmers have relatively taller rami and relatively broader mandibles at the condyles (Table 3). In some cases (Fig. 4) the trend is a relative decrease/increase in the size of certain variables in the two Levantine groups (e.g. Gonial Breadth) with the European hunter-gatherers resembling the European farmers most closely. However, in a few variables there is a clear trend in terms of average differences among groups from hunter-gatherer through to fully farming populations. In particular, Anterior Height is significantly larger among farmers and semi-sedentary hunter-gatherers than among hunter-gatherers and transitional farmers. Corpus Height at M1/M2 shows a similar pattern with a clear increase in relative height for the farmers when compared to all three non-farming groups. In contrast, Anterior Thickness of the mandibular body is significantly reduced over time, but this is not the case for Corpus Thickness at M1/M2 which is smaller for both hunter-gatherer groups in comparison to the transitional farmers and farmers. In fact, this latter variable (Corpus Thickness at M1/M2) is the only variable that is not significantly different between farmers and transitional farmers, and distinguishes the two agricultural groups from the two purely hunter-gatherer groups.

Fig 4. Composite of box plots for six of the mandibular shape variables among the four pre-defined subsistence and chronological groups.

In each case the pairwise dot table shows which groups were significantly different according to the posthoc results of the MANOVA (Table 3).

Table 3. Results of MANOVA comparisons of mandibular shape variables among the four groups.

The results of the post-hoc analysis of inter-individual congruence in mandibular shape and dental form found that hunter-gatherers demonstrated a significant correlation (r = 0.150, p = 0.013), while all the other three groups did not; semi-sedentary hunter-gatherers (r = -0.056, p = 0.520), transitional farmers (r = 0.149, p = 0.071) and farmers (r = 0.053, p = 0.232).


No correlation was found between OTU affinity (distance) patterns based on dental and mandibular dimensions, showing a fundamental mismatch between these two morphological units, despite the fact that the data were taken from the same individual specimens. However, the results of the post-hoc analysis suggest that this mismatch may be attributable to the onset of semi-sedentism and farming practices in the Near East. In hunter-gatherers there is a correlation between among-individual differences in mandibular shape and dental form, suggesting an “equilibrium” in the association between the lower jaw and lower dentition. This is logical and consistent given the fundamentally close morphological and functional association between these two anatomical units. Our results suggest that the lack of correlation between dentition and mandibular distance matrices begins with the shift towards sedentism and proceeds in a mosaic fashion throughout the transition to agriculture in the Levant. This is in accord with previous results indicating a difference in the magnitude and type of crown reduction trend in the Near East/Anatolia [39] and Europe [40]. While farmers have (on average) smaller teeth and mandibles than all non-farming groups, farmers’ mandibles are not simply size-scaled versions of the larger mandibles of chronologically older groups; they are scaled allometrically. As evinced by the results of the MANOVA analyses, some mandibular dimensions are getting relatively larger while others are getting relatively smaller, indicative of a mosaic pattern of mandibular shape change throughout the transition to agriculture.

Although the system of shape quantification is substantially different from the 3D geometric morphometric protocols used by von Cramon-Taubadel [53], some overlap in results can be identified. von Cramon-Taubadel [53] employed a 3D analysis of mandibular shape to show that contemporary farming and hunter-gatherer populations differ in their average mandibular morphology in a manner consistent with differences in their subsistence strategies. Farmers were found, on average, to have relatively taller rami and coronoid processes, relatively shorter mandibles anteriorly-posteriorly and relatively wider mandibles across the corpus and ramus [53]. Our results are consistent with these findings in so far as the farmers were found to have significantly taller rami and significantly wider mandibles at the condyles. Unfortunately, it was not possible to assess differences in relative mandibular length as the variable employed here (maximum mandibular length in projection) is measured in such a way that it includes the relative length of the ramus, the relative breadth of the ramus, and the relative length of the corpus. Also, it is worth noting that it was not possible to specifically quantify the relative length of the dental arch using this dataset, which prevented the direct assessment of mismatch between tooth size and space for dental eruption in the case of the present study. Hence, further 3D shape analysis combined with integrated dental crown dimension data would be required to disentangle the possible effects of the transition to agriculture on each individual aspect of mandible shape.

What is clear from these analyses, however, is that mandibular shape was changing throughout the transition to agriculture, and different aspects of mandibular form were changing at different points in time. Our results hint that such a mosaic morphological pattern occurred with changes in settlement patterns and associated subsistence practices, which is important for understanding the potential impact of the transition to agriculture on the relative form of the mandible and the relative size of the dentition. Dental size, along with overall body size [54], decreases across the transition to agriculture with farming populations having overall smaller teeth and smaller body size than earlier hunter-gatherer populations. Yet, the mandibular form of farmers is not isometrically smaller relative to earlier hunter-gatherers. Some dimensions are relatively larger (e.g. ramus height), while others may be decreasing as part of a general trend in size reduction starting as early as the Natufian (semi-sedentary hunter-gatherers) period. This is consistent with the notion that the mandible is a highly plastic bone, capable of substantial shape change throughout ontogeny in direct response to biomechanical stress [8,10,53].

The notion that malocclusion is absent or very rare in pre-industrial populations has its roots in both the anthropological and dental literature based on the study of modern subjects or historical (mainly medieval) populations [29]. However, some studies report reduction in occlusal abnormalities and overall wear pattern when comparing Archaic hunter-gatherers with Mississippian agriculturalists from Koger’s Island in the Pickwick Basin, Tennessee [55] and when assessing diachronic patterns among Greek populations from the Neolithic to modern times [56]. The comparison of a 16th century graveyard population with modern orthodontic data for Scandinavians showed an increase in the prevalence of malocclusion from 36% in the medieval population to 65% in the modern population. Similar prevalence rates were also reported for other studies (e.g. [57]).

Another consideration in the assessment of potential malocclusion in prehistoric populations is the level of dietary variation and in particular the amount of chewing of hard foods [58]. A temporal assessment of 15 archaeological skeletal series from Japan [59] comprising skulls of pre-agricultural Early (8,000–5,000 BP), and Late (4000–2200 BP) Jomon Period; early farming Yayoi Period (2200–1800 BP) and protohistoric Kofun Period (1800–1400 BP) show an increase in the prevalence of malocclusion from 22.2% in Early Jomon and 20.5% in Late Jomon, to 48.8% in Yayoi and 36% in Kofun [59]. These findings do not suggest any temporal trend in Japan, but do show a major increase in the prevalence of malocclusion among the agricultural populations which Inoue et al. [59] have attributed to the use of soft foods requiring less chewing force following the transition to farming in Japan.

The degree of occlusal attrition is directly related to the coarseness of the diet, dietary consistency, mandibular developmental plasticity, and the amount of interstitial wear caused by enamel rubbing on enamel as the teeth move up and down in their sockets during mastication [4,60,61,62,63]. It therefore follows that inter-population variation in diet will result in corresponding variation in the prevalence of malocclusion. Variation in diet and related mastication will result in corresponding variation in dental wear. Angled molar wear patterns are typical of agriculturalists while flat molar wear is characteristic of hunter-gatherers [64]. In the southern Levant, a comparison of dental wear patterns among three populations–Natufian hunter-gatherers (10,500–8300 BC) from Ain Mallaha, pre-Pottery Neolithic B (PPNB) population from Kefar HaHoresh and PPNC population from Atlit Yam–show an extensive amount of inter-site differences in wear patterns and oral pathology [65] which corresponds to variations in food preparation techniques, amount of sand in the diet, and differences in the consumption of terrestrial versus marine resources. This variability is reflected in our mandibular form analysis (Fig. 2) indicating a high degree of morphological variability among the three pre-Pottery Neolithic populations (transitional farmers), which fall out alongside the Natufian populations (semi-sedentary hunter-gatherers) and intermediate between European hunter-gatherer and farming populations.


Our study investigated time-specific patterns in the incongruity between dental (crown) dimensions and mandibular dimensions among groups spanning the Upper Palaeolithic to the Bronze Age. The analyses showed a separation based on mandibular morphology between hunter-gatherers, farmers and Near Eastern semi-sedentary hunter-gatherers and transitional farmers (Fig. 2). Results of the same analysis carried out on dental dimensions show no such pattern and no clear association between the position of populations in multidimensional space and their temporal or geographic attributes (Fig. 3). Moreover, no significant correlations were found between population distances based on mandibular morphology and dental dimensions, despite representing exactly the same individual skeletons. Within hunter-gatherers, there was a correlation between inter-individual differences in mandibular shape and dental form, but no such correlation was found amongst the other three groups. These results suggest a different pattern of inter-population variation in dental and mandibular dimensions, hinting at the fact that the lack of correlation between dental size and mandibular form that is associated with various types of malocclusion among modern-day populations, began to arise with the shift towards sedentism and agricultural subsistence practices several millennia ago.

Supporting Information

S1 Fig. Plot of the first two principal co-ordinates (explaining 62.1 and 14.9% of variation, respectively) based on mandibular shape.


S1 Table. A complete set of all the mandibular and dental dimensions analysed in this study.



We thank the editor and two anonymous reviewers for helpful comments that improved our manuscript.

Author Contributions

Conceived and designed the experiments: RP NC-T. Performed the experiments: RP NC-T. Analyzed the data: RP NC-T. Contributed reagents/materials/analysis tools: RP NC-T VE. Wrote the paper: RP NC-T VE.


  1. 1. Proffit WR, Fields HW, Moray LJ (1998) Prevalence of malocclusion and orthodontic treatment need in the United States: estimates from the NHANES III survey. Int J Adult Orthodon Orthognath Surg 13: 97–106. pmid:9743642
  2. 2. Bishara SE, Burkey PS, Kharouf JG (1994) Dental and facial asymmetries: a review. Angle Orthod 64: 89–98. pmid:8010527
  3. 3. Mossey PA (1999) The Heritability of Malocclusion: Part 1—Genetics, Principles and Terminology. Br J Orthod 26: 103–113. pmid:10420244
  4. 4. Rose JC, Roblee RD (2009) Origins of dental crowding and malocclusions: an anthropological perspective. Compend Contin Educ Dent Suppl 30: 292–300. pmid:19514263
  5. 5. Hunt EE (1961) Malocclusion and civilization. Am J Orthod 47: 406–422. pmid:13716844
  6. 6. Corruccinni RS, Whitley LD (1981) Occlusal variation in a rural Kentucky community. Am J Orthod 79: 250–262. pmid:6938135
  7. 7. Corruccini RS (1984) An epidemiologic transition in dental occlusion in world populations. Am J Orthod 86: 419–426. pmid:6594064
  8. 8. Larsen CS (1997) Bioarchaeology. Cambridge: Cambridge University Press.
  9. 9. Varrela J (2006) Masticatory Function and Malocclusion: A Clinical Perspective. Semin Orthod 12: 102–109.
  10. 10. Lieberman DE (2011) The Evolution of the Human Head. Cambridge, MA: Harvard University Press,.
  11. 11. Krishan S, Corruccini RS (1986) Genetic basis of dental occlusal variations in northwest Indian twins. Eur J Orthod 8: 91–97. pmid:3459665
  12. 12. Davies DM (1972) The influece of teeth diet and habits on the human face. London, UK: William Heinemann Medical Books Ltd.
  13. 13. Corruccini RS, Potter RHY (1980) Odontometric asymmetry in Punjabi twins with specialreference to methods for detecting spurious genetic variance. Archs Oral Biol 34: 839–841.
  14. 14. Bilimoria KF (1963) Malocclusion: its role in the causation of periodontal disease. J All India Dent Assoc 36: 293–300.
  15. 15. Davies GN (1956) Dental Conditions Among the Polynesians of Pukapuka (Danger Island) I. General background and the Prevalence of Malocclusion. J Dent Res 35: 115–131. pmid:13286395
  16. 16. Price WA (1936) Eskimo and Indian field studies in Alaska and Canada. J Am Dent Assoc 23: 417–437.
  17. 17. Williams C (1943) Investigation concerning the dentitions of the Eskimos of Canada’s Eastern Arctic. J Periodont 14: 34–37.
  18. 18. Wood BF (1971) Malocclusion in the modern Alaskan Eskimo. Am J Orthod 60: 344–354. pmid:5284438
  19. 19. Price WA (1935) Studies of relationships between nutritional deficiencies and (a) facial and dental arch deformities and (b) loss of immunity to dental caries among South Sea Islanders and Florida Indians. Dent Cosmos 77:1033–1045
  20. 20. Clinch L (1951) The occlusion of the Australian Aborigines. Trans Eur Orthod Soc, 80–93
  21. 21. Corruccini RS, Townsend GC, Brown T (1990) Occlusal variation in Australian aboriginals. Am J Phys Anthropol 82: 257–265. pmid:2375378
  22. 22. Niswander JD (1967) Further studies on the Xavante Indians. VII. The oral status of the Xavantes of Simões Lopes. Am J Hum Genet 19: 543. pmid:4382497
  23. 23. Lavelle CLB (1973) Variation in the Secular Changes in the Teeth and Dental Arches. Angle Orthod 43: 412–421. pmid:4517974
  24. 24. Larsen CS (1995) Biological changes in human populations with agriculture. Ann Rev Anthropol 24: 185–213.
  25. 25. Molnar S, Barrett MJ, Brian L, Brace CL, Brose DS, et al. (1972) Tooth wear and culture: a survey of tooth functions among Ssome prehistoric populations. Curr Anthropol 13: 511–526.
  26. 26. Kaifu Y, Kasai K, Townsend GC, Richards LC (2003) Tooth wear and the “design” of the human dentition: A perspective from evolutionary medicine. Am J Phys Anthropol 122: 47–61.
  27. 27. Wolpoff MH (1971) Metric Trends in Hominid Dental Evolution: Studies in Anthropology. Cleveland: Case Western Reserve Press.
  28. 28. Corruccini RS (1999) How Anthropology Informs the Orthodontic Diagnosis of Malocclusion’s Causes. Lewiston: Edwin Mellen Press.
  29. 29. Sarig R, Slon V, Abbas J, May H, Shpack N, et al. (2013) Malocclusion in early anatomically modern human: a reflection on the etiology of modern dental misalignment. PLoS ONE 8: e80771. pmid:24278319
  30. 30. Lombardi AV (1982) The adaptive value of dental crowding: a consideration of the biologic basis of malocclusion. Am J Orthodont 81: 38–42. pmid:6960695
  31. 31. Stahl A (1989) Plant-food processing: implications for dietary quality. In: Harris D, Hillman G, editors. Foraging and Farming: The Evolution of Plant Exploitation. London: Unwin. pp. 171–194.
  32. 32. Blockley SPE, Pinhasi R (2011) A revised chronology for the adoption of agriculture in the Southern Levant and the role of Lateglacial climatic change. Quat Sci Rev 30: 98–108.
  33. 33. Goring-Morris AN, Belfer-Cohen A (2011) Neolithization Processes in the Levant: The Outer Envelope. Curr Anthropol 52: S195–S208.
  34. 34. Bar-Yosef O (1998) The Natufian culture in the Levant, threshold to the origins of agriculture. Evol Anthropol 6: 159–177.
  35. 35. Bar-Yosef O, Meadow R (1995) The origins of agriculture in the Near East. In: Price TD, Gebauer AB, editors. Last Hunters, First Farmers: New Perspectives on the Prehistoric Transition to Agriculture. Santa Fe: School of American Research Press. pp. 39–94.
  36. 36. Wright KI (1994) Ground-Stone Tools and Hunter-Gatherer Subsistence in Southwest Asia: Implications for the Transition to Farming. Am Antiquity 59: 238–263.
  37. 37. Kuijt I (1994) Pre-Pottery Neolithic A settlement variability: evidencefor sociopolitical developments in the Southern Levant. J Med Archaeol 7: 41–68.
  38. 38. Goring-Morris AN, Belfer-Cohen A (2010) Great Expectations; or, the inevitable collapse of the Neolithic in the Near East. In: Bandy MS, Fox J, editors. Early village society in global Early perspective. Tuscon,USA: University of Arizona Press. pp. 62–77.
  39. 39. Pinhasi R, Eshed V, Shaw P (2008) Evolutionary changes in the masticatory complex following the transition to farming in the southern Levant. Am J Phys Anthropol 135: 136–148. pmid:18046779
  40. 40. Pinhasi R, Meiklejohn C (2011) Dental reduction and the transition to agriculture in Europe. In: Pinhasi R, Stock JT, editors. Human Bioarchaeology of the Transition to Agriculture. New York: Wiley-Liss. pp. 451–474.
  41. 41. Human metric dental data. Available: Accessed 2014 Oct 7.
  42. 42. Moorrees CFA, Thomsen SO, Jensen E, Yen PKJ (1957) Mesiodistal crown diameters of the deciduous and permanent teeth in individuals. J Dent Res 36: 39–47. pmid:13398501
  43. 43. Christensen AF (1998) Odontometric microevolution in the Valley of Oaxaca, Mexico. J Hum Evol 34: 333–360. pmid:9595356
  44. 44. Bräuer G (1988) Osteometrie. In: Knussmann R, editor. Anthropologie Handbuch der Vergleichenden Biologie des Menschen Band 1 Wesen und Methoden der Anthropologie. Stuttgart: Gustav Fischer. pp. 160–232.
  45. 45. Martin R, Saller K (1957) Lehrbuch der Anthropologie in Systematischer Darstellung, mit Besonderer Berücksichtigung der Anthropologischen Methoden. Bd. I. Stuttgart: Fischer
  46. 46. Falsetti AB, Jungers WL, Cole TM III (1993) Morphometrics of the Callitrichid forelimb: a case study in size and shape. Int J Primatol 14: 551–572.
  47. 47. Jungers WL, Falsetti AB, Wall CE (1995) Shape, relative size and size-adjustments in morphometrics. Yrbk Phys Anthropol 38: 137–161.
  48. 48. Relethford JH, Blangero J (1990) Detection of differential gene flow from patterns of quantitative variation. Hum Biol 62: 5–25. pmid:2323770
  49. 49. Harpending H, Ward R (1982) Chemical systematics and human populations. In: Nitecki M, editor. Biochemical aspects of evolutionary biology Chicago: University of Chicago Press. pp. 213–256.
  50. 50. von Cramon-Taubadel N, Stock JT, Pinhasi R (2013) Skull and limb morphology differentially track population history and environmental factors in the transition to agriculture in Europe. Proc Royal Soc B: 280: 20131337. pmid:23902904
  51. 51. Mantel NA (1967) The detection of disease clustering and a generalized regression approach. Cancer Res 27: 209–220. pmid:6018555
  52. 52. Hammer Ø, Harper DAT, Ryan PD (2001) PAST: Paleontological statistics software package for education and data analysis.. Palaeontologia Electronica 4: 9 pp.
  53. 53. von Cramon-Taubadel N (2011) Global human mandibular variation reflects differences in agricultural and hunter-gatherer subsistence strategies. Proc Natl Acad Sci USA 108: 19546–19551. pmid:22106280
  54. 54. Frayer DW (1984) Biological and cultural change in the European late Pleistocene and early Holocene. In: Smith F, Spencer F, editors. The Origins of Modern Humans. New York: Liss. pp. 211–250.
  55. 55. Newman MT, Snow CE (1942) Preliminary Report on the Skeletal Material from Pickwick Basin, Alabama. In: Webb WS, DeJarnette DL, editors. An archaeological survey of the Pickwick Basin in the adjacent portions of the states of Alabama, Mississippi and Tennessee: Bureau of American Ethnology, Bulletin 129. pp. 393–507.
  56. 56. Angel JL (1944) Greek teeth: ancient and modern. Hum Biol 16: 283–297.
  57. 57. Mohlin B, Sagne S, Thilander B (1978) The frequency of malocclusion and the craniofacial morphology in a medieval population in Southern Sweden. Ossa 5: 57–84.
  58. 58. Rose J, Ungar P (1998) Gross Dental Wear and Dental Microwear in Historical Perspective. In: Alt K, Rösing F, Teschler-Nicola M, editors. Dental Anthropology: Springer Vienna. pp. 349–386.
  59. 59. Inoue N, Ito G, Kamegai T (1984) Malocclusion and its pathogenic factors in skeletal remains from West Japan. Anthropol Sci 92: 13–22.
  60. 60. Beecher RM, Corruccini RS (1981) Effects of dietary consistency on craniofacial and occlusal development in the rat. Angle Orthod 51: 61–69. pmid:6939354
  61. 61. Corruccini R, Beecher R (1982) Occlusal variation related to soft diet in a nonhuman primate. Science 218: 74–76. pmid:7123221
  62. 62. Lieberman DE, Krovitz GE, Yates FW, Devlin M, St. Claire M (2004) Effects of food processing on masticatory strain and craniofacial growth in a retrognathic face. J Hum Evol 46: 655–677. pmid:15183669
  63. 63. Holmes MA, Ruff CB (2011) Dietary effects on development of the human mandibular corpus. Am J Phys Anthropol 145: 615–628. pmid:21702003
  64. 64. Smith BH (1984) Patterns of molar wear in hunter-gatherers and agriculturalists. Am J Phys Anthropol 63: 39–56. pmid:6422767
  65. 65. Eshed V, Gopher A, Hershkovitz I (2006) Tooth wear and dental pathology at the advent of agriculture: New evidence from the Levant. Am J Phys Anthropol 130: 145–159. pmid:16353225