Human hands are distinguished from apes by possessing longer thumbs relative to fingers. However, this simple ape-human dichotomy fails to provide an adequate framework for testing competing hypotheses of human evolution and for reconstructing the morphology of the last common ancestor (LCA) of humans and chimpanzees. We inspect human and ape hand-length proportions using phylogenetically informed morphometric analyses and test alternative models of evolution along the anthropoid tree of life, including fossils like the plesiomorphic ape Proconsul heseloni and the hominins Ardipithecus ramidus and Australopithecus sediba. Our results reveal high levels of hand disparity among modern hominoids, which are explained by different evolutionary processes: autapomorphic evolution in hylobatids (extreme digital and thumb elongation), convergent adaptation between chimpanzees and orangutans (digital elongation) and comparatively little change in gorillas and hominins. The human (and australopith) high thumb-to-digits ratio required little change since the LCA, and was acquired convergently with other highly dexterous anthropoids.
The hand is one of the most distinctive traits of humankind and one of our main sources of interaction with the environment1. The human hand can be distinguished from that of apes by its long thumb relative to fingers1,2,3,4 (Fig. 1a), which has been related functionally to different selective regimes—manipulation vs locomotion—acting on human and ape hands1,5. During the first half of the twentieth century, theories on human evolution were dominated by the view that humans split very early from the common stock of apes, and largely preserved generalized (plesiomorphic) hand proportions similar to other anthropoid primates6,7,8. To the contrary, extant apes were seen as extremely specialized animals adapted for below-branch suspension6,7. However, since the molecular revolution in the 1980–1990s (which provided unequivocal evidence for humans and chimpanzees being sister taxa)9 a prevalent and influential evolutionary paradigm—said to be based on parsimony—has assumed that the last common ancestor (LCA) of chimpanzees and humans was similar to a modern chimpanzee (for example, ref. 10). This shift resurrected the ‘troglodytian’ stage in human evolution, which assumes that a chimp-like knuckle-walking ancestor preceded human bipedalism (for example, ref. 11). Most subsequent hypotheses dealing with human hand evolution have been framed assuming a ‘long-handed/short-thumbed’ chimp-like hand as the starting points of the LCA and basal hominins, with strong selective pressures acting to reverse these proportions in the context of stone tool-making and/or as a by-product of drastic changes in foot morphology in the human career (for example, ref. 12). However, the current fossil evidence of early hominins2,5,13,14 and fossil apes15,16,17,18 challenges this paradigm. Collectively these fossils suggest instead that hand proportions approaching the modern human condition could in fact be largely plesiomorphic2,4,13, as was previously suggested before the advent of molecular phylogenetics. If that were the case, this would have profound implications relevant to the locomotor adaptations of the chimpanzee-human LCA, as well as the relationship between human hand structure and the origins of systematized stone tool culture.
To address this complex discussion, and to provide a deeper understanding on the evolution of the human and ape hand, in this study we perform a stepwise series of detailed morphometric and evolutionary analyses on the hand-length proportions of modern apes and humans, as compared with a large sample of extant anthropoid primates and key fossils preserving sufficiently complete associated hands. This fossil sample is constituted by the early hominins Ardipithecus ramidus (4.4 Myr ago)2 and Australopithecus sediba (∼2 Myr ago)14, as well as the primitive African ape Proconsul heseloni (∼18 Myr ago)15 and the European fossil great ape Hispanopithecus laietanus (9.6 Myr ago)17. First, we inspect thumb length relative to the lateral digits (as revealed by ray four; that is, intrinsic hand proportions) to show that humans are distinctive from apes for this important functional measure, but not from some other anthropoids. Second, we analyse individual hand elements as proportions adjusted via overall body size (that is, extrinsic hand proportions) to test whether modern apes—and more especially African great apes—represent a homogeneous group from which humans depart. Here we further show that modern hominoids constitute a highly heterogeneous group with differences that cannot be explained by phylogenetic proximity or size-related effects. Third, we enlist phylogenetically informed comparative methods to map how the evolution of hand-length proportions has played out along the individual lineages of our comparative sample. These methods employ statistical models that establish principles of how continuous trait change is likely to have unfolded over time, and we explore those principles to infer how the variation observed in comparative trait measurements is likely to have changed along the individual branches of a (independently derived molecular-based) phylogeny. Importantly from a statistical viewpoint, these methods allow the comparative data (including the fossils) to be analysed within an alternative-hypothesis-testing framework that assesses the statistical fit of alternative evolutionary scenarios. In our case, we determine how hand-length proportions changed over time and quantify the relative likelihood support of alternative evolutionary hypothesis, thus providing a novel and rigorous analysis of human and ape hand evolution.
Our results reveal that the different hand morphologies exhibited by modern hominoids reflect different evolutionary processes: hylobatids display an autapomorphic hand due to extreme digital and thumb elongation; chimpanzees and orangutans exhibit convergent adaptation related to digital elongation (to a lesser degree than hylobatids); whereas the gorilla and hominin lineages experienced little change by comparison (that is, their overall hand proportions are largely plesiomorphic within catarrhines). These results support the view that the long thumb relative to fingers characterizing the human (and australopith) hand required little change since the chimpanzee-human LCA, and was acquired in convergence with other highly dexterous anthropoids such as capuchins and gelada baboons.
Intrinsic hand proportions
Hand proportions of humans are usually compared with those of apes using the thumb-to-digit ratio (or IHPs), which is a good functional measure of thumb opposability and therefore a proxy for manual dexterity (for example, refs 1, 14, 19). Accordingly, we queried our anthropoid sample (see details of our sample in Supplementary Table 1) to see whether our IHP measure (as revealed by the thumb-to-fourth ray ratio; Fig. 1b) was consistent with previous observations that humans can easily be distinguished from modern apes by a long thumb relative to the other digits4,5,14. The modern human IHP range is well above that of modern apes (that is, no overlap; analysis of variance (ANOVA) with Bonferroni post hoc comparisons, P<0.001; see Supplementary Table 2 for details on the taxa-specific comparisons), which can be linked directly to the human capability (unique among modern hominoids20) to perform an efficient ‘pad-to-pad precision grasping’ (that is, broad contact of the distal pads of the thumb and index finger, Supplementary Note 1)1,4,5,13. In contrast, chimpanzees and especially orangutans are found to have significantly shorter thumbs than gorillas and hylobatids (ANOVA with Bonferroni post hoc comparisons, P<0.001). Fossil hominins fall within the modern human range, but Ar. ramidus exhibits a shorter thumb (within the gorilla-hylobatid range), implying limits to its precision grasping capabilities. Most non-hominoid anthropoids, including the fossil ape Pr. heseloni, exhibit IHP ranges in-between modern apes and humans. Both Cebus and Theropithecus overlap in this index with humans, supporting the relationship between this ratio and enhanced manipulative skills (see Supplementary Note 1).
Extrinsic hand proportions
Despite the aforementioned functional connections, IHPs provide limited information regarding what distinguishes humans from apes: is it a longer thumb, shorter digits or a combination of both? More specifically, which elements contribute most to the overall ray length? To clarify this and inspect how each of the individual elements of the thumb and ray IV contribute to IHPs (Fig. 1b), we standardized each length relative to overall body size (approximated by the cube root of its body mass, BM), creating relative length shape ratios of external hand proportions (EHPs; Supplementary Fig. 1). Major trends of EHP variation between the individuals in our anthropoid sample are summarized and inspected by means of principal components analysis of extant and fossil individuals (Supplementary Table 3), revealing high EHP heterogeneity in extant hominoids (and in non-hominoid anthropoids; Fig. 2a, Supplementary Fig. 1). In other words, there is a clear EHP structure that allows the characterization of the hominoid taxa. Statistical differences in EHP between each great ape genus, hylobatids and humans were established (P<0.001) by means of multivariate analysis of variance (MANOVA with Bonferroni-corrected post hoc pairwise comparisons; see Supplementary Table 4). Differences among extant great ape genera are more apparent when the eigenanalysis is carried out exclusively on great ape individuals (Supplementary Fig. 3), even revealing significant differences between species of gorillas (P=0.014) and chimpanzees (P=0.047). EHPs of selected species are depicted to help understand extreme morphologies along the major axes of variation in shape space (Fig. 2b). A complex pattern is revealed: hylobatids, orangutans and chimpanzees (in this order) exhibit longer digits than humans, but gorillas do not. Thumb length follows a rather different trend: hylobatids have both the longest digits and the longest thumbs, whereas Theropithecus displays the shortest digits but not the shortest thumbs (rather, eastern gorillas do). For Ar. ramidus we inspect two different relative shape possibilities based on substantially different but plausible BM estimations: 50.8 kg (as a quadruped) and 35.7 kg (as a biped). Fossil hominins display a modern human pattern, but Ar. ramidus shows only slightly longer or shorter (BM-depending) digits than Pr. heseloni (that is, it is intermediate between humans and chimpanzees), but in both cases it exhibits shorter thumbs (specifically shorter pollical phalanges; Supplementary Table 3) than this fossil ape and other hominins, and occupies a different region of EHP shape space (Fig. 2 and Supplementary Fig. 2). The observed differences in EHP between hominoid taxa cannot be merely attributed to size-dependent effects (that is, allometry; Supplementary Fig. 4, Supplementary Table 5).
The evolution of human and ape hand proportions
Previous observations on modern ape thoraces and limbs suggest that living apes show similar but not identical adaptations to accommodate similar functional demands related to specialized climbing and suspension (especially Pan and Pongo), reinforcing the role of parallelism in ape evolution3,21,22, a phenomenon explained by common evolutionary developmental pathways in closely related taxa23. To test this homoplastic hypothesis for similarities in hand-length proportions between suspensory taxa, we enlist the ‘surface’ method24, which allows inferring the history of adaptive diversification in hominoids (and other anthropoids) using a phylogeny (Fig. 3) and phenotypic data, in this case the two major axes of EHP variation among extant and fossil species (accounting for 94.5% of variance; see Fig. 4 and Supplementary Table 7). This method models adaptive evolutionary scenarios by fitting a multi-regime Ornstein Uhlenbeck (OU) stabilizing selection model25 to the tip data. This procedure allows taxonomic units to undergo shifts towards different phenotypes (‘adaptive peaks’) and can be used to identify cases where multiple lineages have discovered the same selective regimes (that is, convergence). Regimes are here understood as comprising a group of taxonomic units that are inferred to have similar phenotypes. Adaptive peaks can be understood as the optimal phenotypic values that characterize the different regimes. The advantage of the surface method is that it locates regime shifts without a prior identification of regimes. The method hereby fits a series of stabilizing selection models and uses a data-driven stepwise algorithm to locate phenotypic shifts on the tree. Thus, this method allows to ‘naively’ detect instances of phenotypic convergence in human and ape hand proportions. Starting with an OU model in which all species are attracted to a single adaptive peak in morphospace, ‘surface’ uses a stepwise model selection procedure based on the finite-samples Akaike information criterion (AICc)26,27 to fit increasingly complex multi-regime models. At each step, a new regime shift is added to the branch of the phylogeny that most improves model fit across all the variables inspected, and shifts are added until no further improvement is achieved. To verify true convergence, this method then evaluates whether the AICc score is further improved by allowing different species to shift towards shared adaptive regimes rather than requiring each one to occupy its own peak. For the EHPs, ‘surface’ detects five adaptive optima (see edge colours in phylogenetic tree in Fig. 3) corresponding to (1) Cebus and Alouatta; (2) Papio and Theropithecus; (3) Macaca, Mandrillus, Nasalis, Gorilla and hominins; (4) hylobatids; and (5) Pan and Pongo. In other words, in terms of human and great ape evolution ‘surface’ identifies convergent evolution between the EHPs of Pan and Pongo, whereas Gorilla and hominins share a more plesiomorphic condition for catarrhines. To verify this result, we compare the statistical fit of this evolutionary scenario with that of five other evolutionary hypotheses based on the respective relative AICc weights (Supplementary Fig. 5; Supplementary Table 8). The alternative models include Brownian motion evolution, a single-regime OU model, a multi-regime OU model differentiating the different clades, and most importantly an alternative version of the five-regime OU model detected by ‘surface’ in which the condition shared by Pan and Pongo is hypothesized to represent the plesiomorphic state for great apes (OU5 ‘alt’ in Supplementary Fig. 5). Our results support the ‘surface’ output as the best fit model using either a large or a small body size estimate for Ar. ramidus (ΔAICc=0.00, AICc weight=1.00), and even when excluding Ar. ramidus and Pr. heseloni from the analysis (ΔAICc=0.00, AICc weight=0.77). To test the sensitivity of our results to a possible sampling bias due to the higher number of hominoid species in comparison with monkey clades in our sample, we repeat the analysis once more after excluding the most speciose and morphologically derived group of hominoids (the hylobatid species), together with the fossil closest to the hominoid LCA in our sample (that is, Pr. heseloni). Again, ‘surface’ identifies a best fit model in which Pan and Pongo are convergent, with the difference that the slightly reduced digits of gorillas and hominins are now interpreted as being convergent with baboons, while the remaining monkey taxa share a common, more plesiomorphic, regime (Supplementary Fig. 6). This evolutionary scenario also has the best support (ΔAICc=0.00, AICc weight=0.92) when compared with Brownian motion, and four other alternative evolutionary scenarios (Supplementary Table 8). Importantly in terms of human and ape evolution, irrespective of the difference in results between the full vs reduced hominoid sample, the similarities between the EHP of hominins and gorillas are reconstructed as representing the plesiomorphic condition for the African ape and human clade (Fig. 3), while Pan would be more derived (and convergent with Pongo).
Furthermore, to visually track major evolutionary changes driving differences between apes and humans, we summarize the evolutionary history of hominoid hand length diversification (as compared with platyrrhine and cercopithecid monkey out-groups) by means of a phylomorphospace approach28. These are the steps that we followed: First, we reconstructed hypothetical ancestral morphologies (that is, internal nodes in Fig. 3) using a maximum likelihood approach and plotted them on the shape space defined by the two major EHP axes of variation among extant and fossil species (Fig. 4). Second, we mapped our time-calibrated phylogenetic tree (Fig. 3) onto this shape space by connecting the ancestral sate reconstructions and the terminal taxa. The lengths and orientations of the branches of this phylomorphospace allows one to intuitively visualize the magnitude and directionality of inferred shape changes along each branch of the tree. Owing to the possible impact of Ar. ramidus in the reconstruction of the chimpanzee-human LCA (based on its proximity in time), we present this analysis with both large and small body size estimates (Fig. 4a,b respectively), as well as by excluding Ar. ramidus and Pr. heseloni (Supplementary Fig. 7). In all cases, major evolutionary changes along PC1 (∼86% of variance; see Supplementary Table 7) relate to digital (primarily metacarpal and proximal phalanx) lengthening/shortening (positive and negative values, respectively), whereas PC2 (∼8% of variance) relates to thumb proximal phalanx (positive values) and digital metacarpal (negative values) lengthening, and thereby serves to separate our platyrrhine and catarrhine taxa (especially baboons). Although the position of Ar. ramidus in shape space differs depending on estimated BM, the overall evolutionary pattern remains constant: from moderate digital length, digital lengthening has been achieved to different degrees and independently in chimpanzees, orangutans and hylobatids (in this increasing order; with Pan and Pongo sharing the same adaptive optimum, see Fig. 3). In contrast, hominins and gorillas (especially eastern gorillas) have slightly reduced their digital lengths (although both would still represent the same evolutionary regime, see Fig. 3). In terms of thumb evolution, only a modest reduction in extant great apes and slight elongation in later hominins appears to have occurred. It is worth noticing that, irrespective of which Ar. ramidus BM estimate is used, Pan falls clearly outside of the 95% confident interval for the estimated chimpanzee-human LCA, whereas Ar. ramidus is very close to it (Fig. 4), as previously suggested2,29. This supports the idea that chimpanzees exhibit derived hands, in this case convergent with Pongo (Fig. 3).
This previous phylogenetic patterning observed in our EHP morphospace (that is, homoplasy along PC1, and more clade-specific groups along PC2; see Fig. 4) was tested with Blomberg’s K statistic30. Our results indicate that for PC2 variance is concentrated among clades (K>1; 1,000 permutations, P=0.001): Alouatta (long thumb proximal phalanx and short digital metacarpal) and baboons (reverse condition of howler monkeys) are situated at opposite extremes, and other cercopithecids and hominoids exhibit intermediate values. For PC1, however, the variance is concentrated within clades (K<1; 1,000 permutations, P=0.001), indicating that the observed variance in finger length (that is, PC1) is larger than expected based on the structure of the tree. This supports the idea of adaptive evolution (that is, shape change associated with change in function)31 in hominoid finger length uncorrelated with phylogeny30. In other words, finger lengthening has been achieved homoplastically in different ape lineages (probably in relation to increased suspensory behaviours), as also revealed by our multi-regime OU modelling (Fig. 3, Supplementary Figs 5 and 6) and phylomorphospace approach (Fig. 4).
To inspect how the addition of more taxa with long fingers affects our evolutionary reconstructions of digital length, we revisit the phylomorphospace after excluding the thumb elements. Specifically, we incorporate the fossil ape Hispanopithecus laietanus17 (which does not preserve thumb elements; Fig. 5a–c) and the suspensory platyrrhine Ateles (which exhibits only a vestigial thumb32). Hi. laietanus represents the earliest evidence of specialized adaptations for below-branch suspension in the fossil ape record17,33. However, its phylogenetic position is not resolved, being alternatively considered as a stem great ape, a stem pongine or even a stem hominine (Fig. 5d–f). In the fourth ray morphospace (Fig. 6), PC1 (∼92% of variance; Supplementary Table 7) is mainly related positively to metacarpal and proximal phalanx lengths, whereas PC2 (∼6% of variance) is positively related to metacarpal length and negatively to proximal phalanx length. When ancestral state reconstructions and phylogenetic mapping are inspected in this phylomorphospace, the overall evolutionary pattern reflecting homoplasy in modern (and fossil) ape digital elongation is also evident, irrespective of the BM estimate of Ar. ramidus and the phylogenetic position of Hi. laietanus (Fig. 6). Specifically, these results also indicate independent digital elongation (to different degrees) in hylobatids, orangutans, chimpanzees, spider monkeys and Hi. laietanus. Although chimpanzees and Hi. laietanus exhibit a similar relative digital length (Supplementary Fig. 4b), it has been achieved by different means. In contrast to chimpanzees and baboons that display long metacarpals relative to proximal phalanges (as revealed by PC1 in Fig. 6), Hi. laietanus approaches a condition similar to that of howler monkeys by exhibiting long phalanges relative to short metacarpals (as revealed by PC2 in Fig. 6). Overall, these results match the previously recognized mosaic nature of the Hi. laietanus hand morphology17, which suggests that its suspensory-related adaptations evolved independently from that of other apes. More broadly, even though the living hominoid lineages represent the few remnants of a much more prolific group during the Miocene22, the evidence presented above indicate that hominoids constitute a highly diversified group in terms of hand proportions (as identified in Fig. 2, Supplementary Fig. 1, and Figs 4 and 6).
Finally, we reconstruct the evolution of IHPs (see Fig. 1) of humans and modern apes as having evolved in opposite directions from moderate IHP similar to those exhibited by Pr. heseloni (Supplementary Fig. 8). On the basis of the previous results on EHP evolution (Fig. 4), this implies that the relatively long thumb of humans and short thumb of modern apes would have been driven primarily by digital elongation/shortening rather than by drastic changes in thumb length. The comparison of eight multi-regime OU models (Supplementary Table 8) identifies a best fit model (ΔAICc=0.00, AICc weight=1.00) based on four different optima in which Cebus and Theropithecus are convergent with Australopithecus/Homo for a relatively long (that is, easily opposable) thumb; Pan is convergent with Pongo and Nasalis for very short thumbs; and hylobatids, gorillas and Ar. ramidus share the putative plesiomorphic, ‘moderate’ condition for crown apes (Supplementary Fig. 9).
Collectively, our results support several evolutionary scenarios with profound and far-reaching implications regarding ape and human origins (see Supplementary Note 2 for an extended background in this matter): (1) extant apes are heterogeneous in terms of hand-length proportions (as inspected by means of their EHP; Fig. 2, Supplementary Figs S1–S3), a finding contrary to a Pan-like ancestor ‘based on parsimony’. In other words, our results falsify the view that extant apes, and particularly African apes, constitute a homogeneous group with subtle deviations from a similar allometric pattern (for example, ref. 34; see also our Supplementary Fig. 4). This previous idea, together with the phylogenetic proximity between Pan and Homo, has been commonly used as support for the hypothesis that hominins evolved from a Pan-like ancestor (for example, ref. 10). Our results, and the palaeontological evidence indicating mosaic-manner evolution of the hominoid skeleton16,17,33, should caution us against relying on evolutionary scenarios that assume that extant apes are good ‘overall’ ancestral models22. (2) Low levels of inter-limb integration in hominoids relative to other anthropoids (that is, higher postcranial heterogeneity) have been used to claim that during hominoid evolution natural selection operated for functional dissociation between homologous pairs of limbs, allowing for evolutionary ‘experimentation’35. For hand length proportions, our results indicate that Pan and Pongo are convergent (Fig. 3, Supplementary Fig. 9), whereas hylobatids evolved long digits in parallel to them, but to a larger extent (PC1 in Figs 4 and 6), thus representing extreme outliers (related to their small size and specialized ricochetal brachiation). Thus, in terms of evolution of digital elongation, we hypothesize that in some ape lineages natural selection acted on (co)variation in inter-limb lengths and hand proportions in the context of specialized adaptation for below-branch suspension. This scenario matches previous evidence suggesting the extant ape lineages survived the late Miocene ape extinction event because they specialized, and were able to share habitats with the radiating and soon to be dominant cercopithecids23,36. (3) Similarities in hand proportions between humans and gorillas and our ancestral African ape reconstruction (Figs 2, 3, 4) indicate that the possession of very long digits was not a requisite for the advent of knuckle walking. (4) These similarities also indicate that specialized tree climbing was not precluded in australopiths based on hand length. (5) Humans have only slightly modified finger and thumb lengths since their LCA with Pan (Fig. 4, Supplementary Fig. 8), probably in relation to refined manipulation, as suggested by the convergent similarities with Cebus and Theropithecus (Fig. 1, Supplementary Figs 8 and 9). This probably occurred with the advent of habitual bipedalism in hominins, and almost certainly preceded regular stone culture4,5,13.
Our results provide a detailed picture on the evolution of the hand that is drawn from a multiple-regime model-fitting approach that infers the evolutionary scenario that indicates the optimal statistical fit for the observed differences in hand proportions between apes and humans, in terms of both the total amount and direction of shape changes. These results are also most consistent with previous observations on pervasive homoplasy and complex evolution of the modern ape postcranium3,21,35, as well as with the available evidence from fossil apes and early hominins1,2,22,29,37.
Intrinsic hand proportions
The IHPs were computed as the ratio between the long bones of the thumb (metacarpal, proximal and distal phalanges) and the long bones of the fourth ray but excluding the distal phalanx, which is not well represented in the fossil record (that is, metacarpal, proximal and intermediate phalanges). A total of 270 modern anthropoids, including humans, all the species of great apes, hylobatids, as well as cercopithecid and platyrrhine monkeys (Supplementary Table 1) were compared with available fossils (Fig. 1), and differences between extant taxa were tested via ANOVA (with Bonferroni posthoc comparisons; Supplementary Table 2). As the emphasis of this work is on the evolution of the human hand, comparisons were made to our closest living relatives (that is, the great apes) at the species level. Hylobatids were pooled at the family level and extant non-hominoid anthropoids at the genus level. Some of the monkey groups are represented by small samples (for example, Theropithecus, Mandrillus) due to the difficulty of finding associated distal phalanges (pollical in this case) in the museum collections (most of them were apparently lost during the skinning and preparation process). However, we still included these taxa because they provide relevant phylogenetic background to understanding the evolution of hand proportions in apes and humans.
The fossil sample included the associated hands of Ar. ramidus (ARA-VP-6/500) and Au. sediba (MH2), whose measurements were taken from published sources2,14; the hands of Homo neanderthalensis (Kebara 2) and fossil Homo sapiens (Qafzeh 9), which were measured from the originals, and the fossil ape Proconsul heseloni, measurements of which were also taken from the originals (KNM-KPS 1, KNM-KPS 3 and KNM-RU 2036). For Ar. ramidus, pollical proximal phalanx length in ARA-VP-6/500 was estimated in 25.7 mm from the pollical proximal phalanx/fourth metacarpal proportion in the ARA-VP-7/2 individual, and the fourth metacarpal length in ARA-VP-6/500, as in Lovejoy et al., 2009 (ref. 2). For Pr. heseloni, the estimated length of the KNM-RU 2036 pollical metacarpal was extracted from the literature15,38. IHP in Pr. heseloni was computed from the mean proportions obtained after standardizing each manual element by the BM in the three specimens (see next section).
Shape analyses of extrinsic hand proportions
EHPs were computed for an extant sample of 187 anthropoid primates (Supplementary Table 1) and the fossils described above by standardizing the length (in mm) of each of the six manual elements (inspected in the IHP) by cube root of the BM (kg) associated with each individual. As tissue density is very similar in all terrestrial organisms (and closely approaches unity), mass can be taken as roughly equivalent to volume, and the cube root of BM (‘the nominal length of measure’) is therefore proportional to linear ‘size’39,40,41.
Major trends in EHP variation between the individuals of our sample were examined by means of a principal components analysis carried out on the covariance matrix (Fig. 2; Supplementary Figs 2 and 3; Supplementary Table 3). Differences between groups were tested via MANOVA (and Bonferroni post hoc comparisons; Supplementary Table 4) of the first three PCs. EHPs were further examined for the fourth ray only (if thumb bones are missing) to include the late Miocene ape Hispanopithecus laietanus (IPS 18800; Figs 5 and 6), for which manual lengths were taken from the original fossil17. As this latter analysis was restricted to the fourth ray, we also included species of Ateles, which shows a ‘rudimentary’ thumb32.
We relied on ratios to assess intrinsic and extrinsic hand proportions in our sample, and thus quantify the actual shape of each individual as a scale-free proportion. We favour ratios here over residuals because residuals derived from allometric regressions are not a property inherent to the individuals, but rather are sample-dependent42. However, to test whether differences between the hand length proportions in our ape sample could be attributed to size-related shape changes (that is, allometry), we constructed separate bivaritate plots for the natural log-transformed lengths of the thumb and fourth ray relative BM (Supplementary Fig. 5). Least square regressions were fitted to these data independently for the extant hominid genera and hylobatids, and grade shifts were inspected through Bonferroni post hoc comparisons between estimated marginal means (Supplementary Table 5) after checking for homogeneity of slopes via analysis of covariance (ANCOVA).
Body mass estimation
Known BMs (kg) were taken from museum records for the extant samples whenever available. Individuals with recorded BM were used to derive genus-specific regressions of BM on femoral head diameter (FHD; in mm). These equations were then used to estimate the BM of additional individuals of unknown BM from their FHD (for example, the Pan-specific regression was used to estimate the BM of Pan specimens only). Generic regressions are provided in Supplementary Table 6.
We also derived our own BM estimates for fossils. For example, we used a regression of BM on FHD of sex-specific means of a diverse group of ‘small humans’ (Supplementary Table 6) to estimate the BM of Au. sediba; this yielded a value of 32.5 kg, close to the previous (slightly higher) estimate based on the calcaneus43, but slightly lower than a previous estimate based on FHD44. The case of Ar. ramidus is more complex: first, a published FHD is not available for this species, although estimated FHD can be bracketed from acetabular diameter45 as approximately 32–37 mm; second, since Ar. ramidus is described as a facultative biped still practicing above-branch pronograde quadrupedalism2,37, the most appropriate reference sample (bipeds versus quadrupeds) for estimates of its BM is open to question (see also Sarmiento and Meldrum for a different interpretation)46. Accordingly, we estimated the BM in ARA-VP-6/500 twice using alternative regressions based on chimpanzees (the hominoid quadrupedal reference sample) and the aforementioned ‘small humans’ (the bipedal training sample), which yielded values of 50.8 and 35.7 kg, respectively. For Hispanopithecus laietanus (IPS 18800) BM estimates using a Pongo or a Pan regression generate very similar results (36.9 and 37.6 kg, respectively); therefore, an average of these two values was used, which is comparable to previous estimates33. For other hominin fossils, a BM estimate based on FHD was available in the literature for Qafzeh 9 (ref. 47), and another prediction based on bi-iliac breadth was used for Kebara 2 (ref. 48). For the Proconsul heseloni individuals, BM estimates using different methods and regressions from various preserved anatomical regions were also available49.
The time-scaled phylogeny used in this work is based on a consensus chronometric tree of extant anthropoid taxa downloaded from 10kTrees Website (ver. 3; http://10ktrees.fas.harvard.edu/), which provides phylogenies sampled from a Bayesian phylogenetic analysis of eleven mitochondrial and six autosomal genes available in GenBank, and adding branch lengths dated with fossils50. With the exception of Neanderthals (for which molecular data is available), other fossil species were introduced post hoc. For these fossil species, as a criterion of standardization, ghost lineages of one million years were added to the published age of the fossil. Au. sediba and Ar. ramidus were introduced into the hominin lineage as it is most commonly accepted29,51, although controversy exists for Ar. ramidus52,53,54. Pr. heseloni is most universally interpreted as a stem hominoid15,16,55,56, although others consider it as a stem catarrhine52. There is not general consensus for placement of the late Miocene ape from Spain Hi. laietanus. Its phylogenetic position is debated between stem great ape57, stem pongine33 or stem hominine55. Therefore, we created three different trees including this taxon and reiterated the analyses (Figs 5 and 6).
Multi-regime OU modelling
Based on its mathematical tractability, the most frequently used statistical model of evolution is Brownian motion, which assumes that traits change at each unit of time with a mean change of zero and unknown and constant variance58,59,60. Within Brownian motion, the evolution of a continuous trait ‘X’ along a branch over time increment ‘t’ is quantified as dX(t)=σdB(t), where ‘σ’ constitutes the magnitude of undirected, stochastic evolution (‘σ2’ is generally presented as the Brownian rate parameter) and ‘dB(t)’ is Gaussian white noise. Although novel phylogenetic comparative methods continue using Brownian evolution as a baseline model, they incorporate additional parameters to model possible deviations from the pure gradual mode of evolution assumed by Brownian motion. Ornstein–Uhlenbeck (OU) models incorporate stabilizing selection as a constraint and hereby quantify the evolution of a continuous trait ‘X’ as dX(t)= α[θ−X(t)]dt+σdB(t) where ‘σ’ captures the stochastic evolution of Brownian motion, ‘α’ determines the rate of adaptive evolution towards an optimum trait value ‘θ’ (see ref. 25). This standard OU model has been modified into multiple-optima OU models allowing optima to vary across the phylogeny61. In these implementations the parameters are defined a priori, which allows testing the relative likelihood of alternative parameterizations (whereby each parameterization characterizes a different evolutionary scenario that explains the evolution of a trait). Importantly, this approach allows fitting multivariate data, circumventing issues that stem from iteratively fitting univariate data. These model-fitting approaches are available in the R package ‘ouch’ (ref. 62) and are particularly powerful in testing the relative likelihood of alternative evolutionary scenarios explaining multivariate data. Although this OU model fitting approach comprises a powerful way of comparing the likelihood of alternative evolutionary scenarios, it leaves open the possibility that the ‘best-fit’ evolutionary scenario is not included in the research design. In this context, Ingram & Mahler (ref. 24) expanded the OU model fitting approach by developing a way to estimate the number of shifts and their locations on the phylogeny, rather than a priori assuming them. This method (‘surface’) was developed specifically to identify instances of convergent evolution and can be used to extract the evolutionary scenario that indicates the best statistical fit (that is, the lowest Akaike information criterion based on the finite samples, AICc)26,27 between the phylogeny and the observed measurements. We subsequently translated the best fit model from ‘surface’ to ‘ouch’ to compare it with alternative hypotheses in a fully multivariate framework.
The phylomorphospace approach allows one to visualize the history of morphological diversification of a clade and infer the magnitude and direction of shape change along any branch of the phylogeny28. Thus, we reconstructed the evolutionary history of extrinsic hand proportions in apes and humans (and other anthropoid primates) by projecting our phylogenetic trees (Fig. 3; Fig. 5d,e,f) into our morphospaces (=shape space; Figs 4 and 6), based on eigenanalyses of the covariance matrices of the species means (Supplementary Table 7). This was accomplished by reconstructing the position of the internal nodes (that is, ancestral states) using a maximum likelihood (ML) method for continuous characters63,64. For an evolutionary model based on normally distributed Brownian motion58,59,60 the ML approach yields identical ancestral state estimates to the squared-change parsimony method accounting for branch length, which minimizes the total amount shape change along all the branches of the tree65,66. In our case, our results including (Fig. 4) and not including (Supplementary Fig. 7) key fossils, or using different phylogenetic positions of the same fossils (Fig. 6) were essentially unchanged. This suggests that, although fossils are useful to more accurately bound ancestral state reconstructions67, in our case the overall evolutionary patterns recovered are robust. These visualizations were computed using the R package ‘phytools’ (ref. 68). 95% confidence intervals (95% CIs) for the last common ancestor (LCA) of chimpanzees and humans were computed using the ‘fastAnc’ function implemented in ‘phytools’, and are based on equation  of Rohlf (ref. 69) that computes the variance on the ancestral states estimates. Once these variances are known, 95% CIs on the estimates can be computed as the estimates +/−1.96 × the square root of the variances.
Phylogenetic signal is generally defined as the degree to which related species resemble each other60,70. We relied on Blomberg’s K statistic30 to assess the amount of phylogenetic signal relative to the amount expected for a character undergoing Brownian motion. This statistic is based on a comparison of the mean squared error of the tip data (measured from the phylogenetic mean) with the mean squared error of the data calculated using the variance-covariance matrix of the tree. This ratio reflects whether the tree accurately describes the variance-covariance pattern in the data, and is subsequently compared with the expected ratio given the size and the shape of the tree (resulting in the K statistic). When K<1, close relatives resemble each other less than expected under Brownian motion, thus indicating that variance is concentrated within clades rather than among clades. K<1 is suggestive of a mode of evolution that departs from pure Brownian motion. This departure from Brownian motion could be caused, among others, by adaptive evolution uncorrelated with the phylogeny (that is, homoplasy). K∼1 indicates that the variance in the tips accurately reflects phylogenetic relatedness (a mode of evolution aligning with Brownian motion). When K>1, close relatives resemble each other more than expected under Brownian motion (possibly reflecting stabilizing selection). K is also a measure of the partitioning of variance. Thus, (with Brownian motion as reference) whether K>1 the variance tends to be between clades, whereas if K<1 the variance tends to be within clades (Liam Revell, personal communication). The statistical significance of K was evaluated with the permutation test (1,000 iterations) described by Blomberg et al. (ref. 30).
How to cite this article: Almécija, S. et al. The evolution of human and ape hand proportions. Nat. Commun. 6:7717 doi: 10.1038/ncomms8717 (2015).
We are indebted to the following researchers and curators for granting access to collections under their care: Emma Mbua, National Museum of Kenya; Salvador Moyà-Solà, Institut Català de Paleontologia Miquel Crusafont; Yoel Rak, Tel Aviv University; Emmanuel Gilissen, Royal Museum of Central Africa; Eileen Westwig, American Museum of Natural History; Lyman Jellema, Cleveland Museum of Natural History; Darrin Lunde, National Museum of Natural History; Judy Chupasko, Museum of Comparative Zoology; and Randy Susman, Stony Brook University. We are also grateful to Liam Revell for technical advice, to David Alba, Biren Patel and Steve Frost for helping compiling the data and to Matt Tocheri, Caley Orr and Biren Patel for feedback in previous versions of this work. This research was supported by the National Science Foundation (NSF-BCS 1316947, NSF-BCS-1317047, NSF-BCS 1317029), the Spanish Ministerio de Economía y Competitividad (CGL2014-54373-P), the Irene Levi Sala CARE Archaeological Foundation (S.A.) and the AAPA Professional Development Grant (S.A.).
Supplementary Figures 1-9, Supplementary Tables 1-8, Supplementary Notes 1-2 and Supplementary References
About this article