Skip to main content
Proceedings of the Royal Society B: Biological Sciences logoLink to Proceedings of the Royal Society B: Biological Sciences
. 2020 Nov 4;287(1938):20202085. doi: 10.1098/rspb.2020.2085

Morphological divergence in giant fossil dormice

Jesse J Hennekam 1,, Roger B J Benson 2, Victoria L Herridge 3, Nathan Jeffery 4, Enric Torres-Roig 5, Josep Antoni Alcover 6, Philip G Cox 1,7
PMCID: PMC7735280  PMID: 33143584

Abstract

Insular gigantism—evolutionary increases in body size from small-bodied mainland ancestors—is a conceptually significant, but poorly studied, evolutionary phenomenon. Gigantism is widespread on Mediterranean islands, particularly among fossil and extant dormice. These include an extant giant population of Eliomys quercinus on Formentera, the giant Balearic genus †Hypnomys and the exceptionally large †Leithia melitensis of Pleistocene Sicily. We quantified patterns of cranial and mandibular shape and their relationships to head size (allometry) among mainland and insular dormouse populations, asking to what extent the morphology of island giants is explained by allometry. We find that gigantism in dormice is not simply an extrapolation of the allometric trajectory of their mainland relatives. Instead, a large portion of their distinctive cranial and mandibular morphology resulted from the population- or species-specific evolutionary shape changes. Our findings suggest that body size increases in insular giant dormice were accompanied by the evolutionary divergence of feeding adaptations. This complements other evidence of ecological divergence in these taxa, which span predominantly faunivorous to herbivorous diets. Our findings suggest that insular gigantism involves context-dependent phenotypic modifications, underscoring the highly distinctive nature of island faunas.

Keywords: insular gigantism, geometric morphometrics, allometry, island rule, Leithia, Hypnomys

1. Introduction

Insular gigantism is a widespread macroevolutionary pattern [1,2]. It occurred on many Mediterranean islands throughout the Neogene and Quaternary, and is known among small mammals including dormice, hamsters, murids, lagomorphs, shrews and moonrats [310]. Despite its prevalence, the ecological drivers of insular gigantism are rather complex, with climate, island area, availability of resources, and the presence of competitors and predators all proposed to play a part [2,1118]. Similarly, the morphological consequences of gigantism are not well understood, and it is not clear whether giant island species have attained large size via similar evolutionary pathways. This raises the possibility that insular gigantism does not represent a single well-defined process, but in fact reflects the outcomes of evolution in a broad set of distinct ecological contexts.

Shape changes associated with increasing body size (allometry) are suggested to either result from optimized functionality based on natural selection, or from constraints that impose fixed or slowly evolving allometric trajectories [19]. Allometric constraints will result in shared allometric patterns (common allometry) among related species, and provide an expectation that evolution will proceed along lines of least evolutionary resistance (or ‘genetic lines of least evolutionary resistance’) [20], represented by a multivariate factor of the genetic or phenotypic variation [21] (but see [22]). Deviation from these lines might be expected during adaptation to distinct ecological niches, resulting in functional modification in shape and size. However, the evolvability of allometric relationships, and therefore the ability of ecological adaptation to cause divergent patterns of phenotypic evolution, is variable [23,24]: divergence from allometric trajectories may be common on long macroevolutionary time scales but are rare on shorter time scales.

The island rule describes extensive variation in both shape and size [1], and suggests a graded trend from gigantism in small mammals to dwarfism in larger species [13]. The evolutionary time scales of adaptation to insularity are generally short [25], meaning that divergence from an ancestral allometric trajectory may be difficult to realize [24]. Nevertheless, the exceptional increase in body size associated with insular gigantism can result in unexpected morphologies, and evolutionary shifts to novel ecologies in the context of the island setting might also be a powerful driver of evolutionary changes in morphology via functional adaptation.

Dormice (Gliridae) are potent exemplars of the evolutionary ‘island effect’ of body size increase, having evolved extraordinary large sizes more frequently than other mammals—and on at least eight different islands since the beginning of the Miocene [26,27]. Furthermore, giant dormice are known from both the fossil record (e.g. Hypnomys spp. from the Balearic Islands and Leithia spp. from Sicily and Malta) and an extant population of Eliomys quercinus on the island of Formentera [28]. Dormice therefore provide an ideal study system for addressing key questions regarding insular gigantism.

The fossil giants Hypnomys and Leithia probably evolved from a mainland ancestor related to the genus Eliomys (Leithiinae) [2931]. Previous studies uncovered craniomandibular differences between extant Eliomys populations and fossil island genera [3134]. The possibility that they were more than simply enlarged forms of their mainland relatives is further supported by the change in ecological niche displayed by the extant giant population on Formentera, which shows increased faunivory in its diet [28]. Furthermore, the morphological features of the extinct island giants imply alternative lifestyles such as increased terrestriality in Hypnomys [31] and herbivory in Leithia [32].

Here, the cranial and mandibular morphology in the extant giant E. quercinus from Formentera and the extinct giant genera Leithia and Hypnomys are investigated in the context of a large dataset of non-giant dormouse skulls. E. quercinus has a large geographical distribution across Europe, including several populations on Mediterranean islands. Alongside fossil giants and the extant giant population on Formentera, non-giant E. quercinus still display significant intraspecific size variations. We aim to understand the transformation of the cranial and mandibular form (size and shape) in giant dormice by investigating the allometric trajectory of non-giant dormice. Characterization of the common allometric trajectory within E. quercinus populations enables us to distinguish between morphological differences occurring due to size variations and those potentially related to other factors. We ask to what extent the cranial and mandibular morphologies of island giant dormice are predicted by extrapolation of the allometric trajectory for extant non-giant dormice, or whether additional morphological variation occurs during evolution of giant size—possibly driven by island-specific shifts in ecology.

2. Material and methods

(a). Sample

We analysed the skulls and mandibles of 63 adult specimens (fully erupted third molar) of the extant species E. quercinus. Specimens were from the collections of the Senckenberg Museum, Frankfurt (SMF), the Muséum National d'Histoire Naturelle, Paris (MNHN) and the Natural History Museum, London (NHMUK). Electronic supplementary material, table S1 includes a full list of all extant specimens used in this study and details of our μCT scanning methods are given in electronic supplementary material, appendix S1. Because only adult individuals were analysed, our analyses (see below) describe patterns of static allometry.

Size variation in Eliomys was characterized among geographically separated extant populations and in fossil giants. We used centroid size (the square root of the summed squared distances between landmarks and the centroid [35]) derived from our landmark configurations as a size proxy. Our subsequent analyses focused on quantifying allometry within a single species, E. quercinus, the closest living relative of insular giant dormice lineages [2931]. Ideally, we would compare the extinct giant dormice with their specific mainland ancestor populations. However, phylogenetic relationships among populations of E. quercinus are not currently known, let alone the relationships of mainland populations with extinct island giants.

Fossil specimens of the insular species Hypnomys onicensis, H. morpheus and Leithia melitensis were included in the analyses based on μCT models (electronic supplementary material, appendix S1), with small missing portions reconstructed from photogrammetric models of other specimens. The fossil specimens include: a composite reconstruction of the skull of L. melitensis based on specimens present at the Museo Geologico Gemmellaro (mgupPS 78: 1–5) [32]; the reconstruction of an L. melitensis mandible located at the Museo Universitario di Scienze Della Terra, Rome (MUST R2s26); a well-preserved skull of H. morpheus from Cova des Coral·loides (unnumbered specimen, under the responsibility of the Heritage Authorities of the Consell Insular de Mallorca, Palma); and a mostly complete skull of the giant Balearic dormouse H. onicensis in the collection of the Institut Mediterrani d'Estudis Avançats, Esporles, Mallorca (IMEDEA 106855). Although this specimen is probably a sub-adult, based on size, dental wear and the unfused skull sutures, it is the most complete skull available of this species.

(b). Shape analyses of extant dormice

Anatomical landmarks were recorded from each cranium (42 landmarks) and mandible (19 landmarks) using Avizo Lite v. 9.2.0 (Thermo Fisher Scientific, Waltham, MA, USA). The Arothron package [36] was used to import the landmarks into R v. 3.5.3 [37]. We used three-dimensional geometric morphometrics to characterize shape variation among extant populations of E. quercinus and extinct giants. Generalized procrustes analysis (GPA) was performed, translating the landmark coordinates to the origin, scaling to unit centroid size and rotating them to a shared orientation, using a least-squares criterion [38,39]. This analysis separates variation in size (centroid sizes) from variation in shape (Procrustes coordinates) so they can be treated as individual variables. A principal component analysis (PCA) was performed using the geometric morphometric R package Morpho v. 2.6 [40], in order to evaluate the data in a lower-dimensional space and identify the largest variances in shape within the dataset.

(c). Allometry

Analysis of variance (ANOVA) was used to test the effect of size on adult shape variation (i.e. static allometry) in E. quercinus and the fossil giants. Using the procD.lm() function with 999 iterations in the R package geomorph v. 3.2.0 [41], the following linear model formula was evaluated: shape log10(size), in which size is represented by centroid size. This analysis asks what changes in cranial or mandibular shape are associated with changes in cranial or mandibular size. Our initial analyses included a categorical variable differentiating between non-giant and giant dormice for both the extant dataset (including the extant Formentera giants), as well as the complete dataset (including the fossil giants). When used as a covariate, shape log10(size)+giant,  this variable asks whether giant dormice show specific differences in skull shape compared to non-giant dormice; when used as an interaction term, shape log10(size)×giant,  it asks whether the relationship between shape and size (i.e. its slope) differs between giant and non-giant dormice.

Subsequent analyses aimed to quantify the allometric signal among non-giant populations and therefore used a more restricted sample, excluding giants. The independent effects of the population (defined by geographical location) and sex on shape were evaluated for non-giant Eliomys specimens using the model: shape log10(size)+population+sex (electronic supplementary material, tables S2 and S3). We also asked whether the effect of allometry varies among populations (electronic supplementary material, table S1) using the model formula: shape log10(size)×population. The significance of coefficients and interaction terms in these models was assessed using ANOVA with permutation procedures.

(d). Predicted shape model

The allometric relationship defined above can be used to evaluate the extent to which the morphology of (giant) specimens is explained by their size. A multivariate regression for allometry shapesize can be expressed as Y=C+BX+E [42], in which Y is the shape vector, C is the intercept, B is the vector of the regression coefficients for size and represents the angle of the slope of the multivariate regression line, X represents centroid size and E explains the error term. When using Procrustes coordinates, the size component X can be evaluated as the difference between the centroid size of each specimen and the mean centroid size across all specimens. This procedure renders the intercept term C redundant with the mean shape from Procrustes superimposition.

Our analyses of allometry among non-giant dormice demonstrated a small, but significant, contribution of the population (i.e. geographical location) to cranial and mandibular shape variation (electronic supplementary material, tables S2 and S3). Therefore, we used the allometric relationships derived from the model shape log10(size)+population among non-giant dormice for the allometric base model in the subsequent analyses.

(e). Predicting shape from size

The base allometric model provides a predicted shape for each specimen based on its size. The Procrustes coordinates of individual specimens can be projected on to an axis described by the vector of size coefficients, B, from the multivariate regression [43]. This vector defines an axis in multivariate space and is equivalent to the common allometric component (CAC) [44]. The orthogonal projection of specimens onto this axis gives a regression (or CAC) score. The plot of the regression score against size provides a two-dimensional representation of the allometric model. Shape residuals describe how the true shape of each specimen differs from its predicted shape and are represented in the plot as the vertical (i.e. shape) deviation of each specimen from the regression line.

(f). Predicting size from the shape

The base allometric model can also be used to infer a ‘predicted size’ for each specimen based on its shape (Procrustes coordinates). Predicted sizes identify whether the shape of a specific specimen resembles that of a smaller or a larger specimen. They also allow us to infer a best-fit shape based on predicted size, representing the shape a specimen would have if it only deviated from allometric expectations by modification of the position on the allometry line (under the assumption that all shape variation between specimens is associated with allometry).

Predicted sizes were inferred using a custom-written R function: predict.size() (electronic supplementary material, appendix S2). This function uses the regression vector from the base allometric model to generate a series of predicted shapes representing individuals of different sizes. These predicted shapes are calculated using a 2 × n matrix in which the first row comprises the vector of intercept values and the second row comprises the coefficients of size in the base allometric model. This was multiplied by an m × 2 matrix, in which the first column consists solely of ones and the second column contains an ascending sequence of size values of length m. Our predict.size() function by default sets the upper size limit to 1.5 times the size of the largest individual within the dataset. The resulting matrix is transformed to an array based on the number of landmarks within the configuration and its dimensionality, creating a dataset comprising a sequence of shape coordinate data associated with the allometric trajectory per increment of size. This approach can be used to generate predicted sizes of external specimens that were not included in the base allometric model, provided they are superimposed on the consensus shape of this model.

The extent to which specimen shapes differ from the shapes predicted by allometry, given their predicted sizes, provides a measure of the amount of shape difference between specimen shapes and their deviation from allometric expectations (given actual sizes) that cannot be explained simply by modification of position on the allometry line. It, therefore, allows us to quantify the amount of non-allometric shape deviation exhibited by a specimen, which might, for example, reflect individual-, population- or species-specific variation. This is calculated as the orthogonal projection of specimen shapes on the regression vector. Our predict.size() function estimates this by evaluating the Procrustes distances between the actual specimen shape and every proposed shape on the regression vector. The proposed shape with the shortest Procrustes distances is the indicator for predicted size.

The relationship between predicted and actual size for each specimen was displayed graphically via a ‘predicted size versus actual size’, or PSvAS, plot. This method is complementary to existing allometric methods, and allows for the evaluation of the shape of individual specimens with respect to the base allometric model. A line with intercept = 0 and slope = 1 on this plot represents shapes with predicted sizes that match their actual sizes. This identity line divides the graph into two sections, the lower-right indicating specimens with a centroid size exceeding the predicted centroid size based on shape, and the upper-left including specimens with larger predicted sizes than the actual centroid size.

(g). Application of PSvAS to the dormouse dataset

The PSvAS method was used for analysing the shape of giant dormice, based on an allometric base model including non-giant, extant E. quercinus specimens. The fit of the fossil and extant giants within the model was analysed to determine whether certain morphological features are in line with the allometric predictions, or can be considered distinct characteristics for giants. Because the giant dormice are considerably different in size and shape compared to non-giant Eliomys, including such specimens will affect the GPA and therefore influence the inferred allometric component. Instead, these specimens were superimposed to the consensus shape of the base model rather than being included in the original GPA.

3. Results

(a). Shape variation in dormice

Principal component ordinations for both the cranial and mandibular dataset depict a clear signal related to the distinctive morphology of giant species (figure 1a,d). The first principal component is correlated with size variation of extant, non-giant populations, with more positive values being associated with larger individuals. The second principal component appears to distinguish between extant (negative values) and fossil (positive values) giants. Overall, these patterns are more defined in the cranial analyses.

Figure 1.

Figure 1.

Cranial (top) and mandibular (bottom) shape differentiation in extant Eliomys quercinus specimens and fossil giants on the first two principal components (a,d); the common allometric component versus log centroid size with grouping (b,e); and the predicted size versus actual size analyses based on a non-giant base model including the predicted sizes for the giant Formentera population and fossil giants (c,f). (Online version in colour.)

(b). Size-shape relationships

Our initial analyses of allometry demonstrate statistical significance for an independent variable distinguishing between giant and non-giant dormice both when including only extant populations, and for the complete dataset including fossil specimens (electronic supplementary material, tables S4 and S5). This indicates a role for non-allometric shape variation during the origin of giant dormouse cranial and mandibular morphology. The interaction term of this variable is non-significant for the extant dataset, but significant for the complete dataset including fossil specimens. This indicates that the relationship between shape and size among the living and extinct giants from multiple islands is different to that among non-giant populations (figure 1b,e). Our subsequent analyses further interrogate and characterize these differences.

(c). Allometric base model

ANOVAs demonstrate statistically significant effects of size and population on the allometric base models for both mandibular and cranial shape (electronic supplementary material, tables S2 and S3). The effect of sex (21 females; 24 males; 1 unknown) on mandibular and cranial shape is non-significant and sex was, therefore, was excluded from further analyses (p = 0.188; p = 0.271). The interaction term between size and population is also non-significant (mandible: p = 0.548; skull: p = 0.346), indicating that there is no evidence for population-specific allometric effects in non-giant dormice. Thus, the best model is: shape log10(size)+population; which explains 53% of the total variation in both the mandibular and cranial datasets (electronic supplementary material, tables S2 and S3). The PSvAS model was used to evaluate the shape of giant dormice crania and mandibles with respect to this allometric model, based solely on non-giant dormice (figure 1c,f).

(d). Predicted size versus actual size

The PSvAS plots describe the relationship between the size of each specimen and its predicted size based on shape in the context of the allometric model (figures 1c,f and 2). Giant specimens in these graphs are located firmly below the identity line, indicating that their shapes resemble the crania and mandibles of smaller individuals (table 1). This effect is generally more pronounced for mandibles than for crania (figure 1). Furthermore, the larger fossil specimens deviate more from the identity line compared to the extant giants from Formentera.

Figure 2.

Figure 2.

Predicted shapes of the fossil giants derived from the PSvAS model, using the shape predicted by the actual centroid size of the specimen and the shape presumed to be the best-fit with the actual shape of the specimen. (Online version in colour.)

Table 1.

Fit of extant and fossil specimens within the PSvAS model for the cranial (top) and mandibular (bottom) dataset, including Procrustes fits of shapes compared with predicted shape based on both centroid size and shape. The values for the extant Eliomys specimens are average values for all E. quercinus (non-giant) and all E. quercinus (Formentera), respectively.

graphic file with name rspb20202085-i1.jpg

(e). Predicted and actual morphology of giant dormice

Procrustes distances quantify the difference between the actual shape of giants and the predicted shapes based on the allometric model (table 1). Differences between giant shapes and expectations under the allometric base model are relatively large (cranium: 0.07–0.18, mandible: 0.08–0.22), especially within the fossil genera Hypnomys and Leithia. These differences remain large even when using the predicted (best-fit) size given shape (table 1; cranium: 0.07–0.13, mandible: 0.06–0.12), indicating that the actual morphology of giants is rather poorly predicted by the allometric model, suggesting that giant dormouse cranial and mandibular morphologies originated via largely non-allometric evolutionary processes.

Based on both their actual and predicted sizes, the crania of larger dormice are expected to have upper incisors that curve more posteriorly, an inferiorly angled rostrum, an increased maximum width of the zygomatic arch and a relative narrowing of the auditory meatus (figure 2). The predicted relative narrowing of the auditory meatus is seen in the fossil taxa, but other aspects of the actual shapes of the giants deviate from these predicted shapes: none show the predicted curvature in the incisors, and the proposed inferior angle of the rostrum is only evident in L. melitensis. The widening of the zygomatic arch is present within fossil giants, but is absent in the extant Formentera giants. Furthermore, the zygomatic widening in the fossil giants is located much more anteriorly than predicted.

The predicted mandibular morphology of giant dormice is also very different from their actual shapes. The predicted shapes show a very narrow and antero-posteriorly elongated structure, whereas the actual giants have robust mandibles, with the posterior part being greatly enlarged dorsoventrally. Although the PSvAS graph implies a best-fit for giant mandibular shapes similar to that of non-giant dormice, the large Procrustes distances between the fitted shape and the actual shape (table 1) indicate this is not the result of isometric scaling. Instead, the giants exhibit some unique morphologies; for example, distinct features in L. melitensis include a foreshortened and relatively straight lower incisor, an exceptionally large and unperforated angular process, a posteriorly located anterior margin of the masseteric ridge and a vertically oriented coronoid process.

As the cranial and mandibular warps were created using the respective landmark configurations, features not included in the configuration, such as the shape of the auditory bullae, cannot be reliably assessed using the warped images. Electronic supplementary material, figure S2 shows the positioning of the landmarks on the giants with regards to their predicted shapes. The width of the zygomatic plate, visible in lateral view, seems to increase with size in the fossil specimens. Furthermore, all giants appear to have a sharply angled cranial vault. Lastly, we noted a peculiar enlargement of the occipital condyle when observing the μCT scan of H. morpheus, not seen in other specimens.

4. Discussion

Extant giant Formentera dormice and fossil giant specimens of Sicily and Mallorca show substantial craniomandibular differences from their non-giant relatives (E. quercinus; figure 1; electronic supplementary material, figure S3). Only a small portion of these morphological differences can be explained by the allometric trajectories of non-giant populations. Insular giant dormice therefore diverge substantially from allometric expectations. Additionally, we recognized that different species of giant dormice show distinctive deviations from their predicted shapes.

(a). Predicting giant size and shape

The cranial and mandibular morphologies of living and extinct island giants are different from those expected under an allometric model. Allometry-related aspects of the shapes of these giants are generally more similar to those of smaller dormice (although they also show substantial non-allometric shape differences), and this effect is more pronounced for the mandible than for the cranium (figure 1c,f). Although the craniomandibular shapes of giant dormice are more similar to smaller dormice than expected, this does not imply isometric scaling; the actual fit of the giants within the model is rather poor, and is worse for larger specimens (see Procrustes distances in table 1). Phylogenetically, the fossil specimens are more separated from the base model, potentially explaining the poor fit of these shapes within the model. The biologically implausible geometries that result from the extrapolation of the allometric model to giant sizes provide an alternative explanation. For example, the predicted skull shape based on the cranial size of L. melitensis (log centroid size = 5.02) has an unrealistically flexed cranial vault and occipital region, including a highly constricted foramen magnum. A similarly unlikely morphology is evident for mandibular geometry, with the expected shape at the size of L. melitensis (log centroid size = 4.11) being implausible owing to the very thin mediolateral width of the bone. Interestingly, the morphologies of smaller giants (Formentera population and Hypnomys) are not correctly predicted by the allometric base model either. These observations suggest that flattening or truncation of the allometric trajectory occurs at large size in order to maintain biological functionality.

Only part of the morphology of giant dormice can be explained by flattening of the allometric trajectory—large differences are also evident in comparison to their expected shapes based on (smaller) ‘best-fit’ centroid sizes (table 1 and figure 2). This indicates the presence of population-specific morphological features within island giants, potentially reflecting adaptive variation due to island-specific environmental conditions or ecological shifts. For example, the extant giant population of Formentera is notably more faunivorous compared to other populations [28]. This suggests either that insular body size increases have resulted in a dietary niche shift, or that a shift towards carnivory reflects insular selective pressures on Formentera and is the driver of evolutionary increases in body size. Although this is not the classic explanation of large body size in small mammals on islands [1], it indicates that morphological variation among dormouse populations could represent allometry and dietary (or other ecological) adaptations.

(b). Morphological traits of giant dormice

Cranial morphology of island giants clearly deviates from the allometric expectations, even when compared to their ‘predicted sizes' (i.e. best-fit sizes to the line of allometry; figure 2). The robust rostrum and narrowing of the infraorbital foramen within all fossil giants are not predicted by the allometric model at any cranial size. The model predicts the zygomatic arch in giants to become more enlarged posteriorly. In reality, the arch does get more robust, but its maximum width is located much more anteriorly. Larger dormice show a dorsoventral flattening of the skull and changes to the posterior part of the mandible, such as an elongated coronoid process and enlarged condylar and angular processes. These are areas associated with masticatory muscle attachment [45], and their modification suggests relative increases in molar bite force [46,47] or gape [48,49]. Multiple studies have already shown that small changes in cranial and mandibular size and shape can affect mechanical advantage and gape, both of which will impact the range of dietary items that can be processed. This effect has been shown in a number of mammalian groups [5053] but is particularly well studied in rodents [5459]. The flattening of the skull is commonly seen in more rupicolous dormice [60], although it may also be a product of enlarged body size owing to negatively allometric scaling of brain size [61] and craniofacial evolutionary allometry (CREA) [62]. This pattern, which is seen in many mammalian groups, predicts relatively smaller braincases and longer rostra in larger species [63,64].

(c). Unique features of giant dormouse species

Significant modifications to shape and size can result from evolutionary adaptation to novel ecologies, including new diets [22]. We therefore interpret the unique morphological features identified in the giant dormouse populations as reflecting specific ecological adaptations to insular settings. As well as diverging from the non-giant allometric trajectory, giant dormice also differ morphologically from one another. Such differences can be the result of various factors, including variation in ecosystem composition, ecological niche occupation, as well as the duration of isolation on islands. The introduction of E. quercinus to Formentera is thought to have occurred roughly 4000 years ago, whereas both Hypnomys and Leithia were isolated for millions of years. Even though the morphology of Formentera dormice does not resemble an intermediate shape between an average-sized E. quercinus and the fossil giants, the differences in duration of isolation are substantial. Many population-specific aspects of giant dormouse cranial, and especially mandibular, structure complement previous evidence of divergent dietary and other ecological traits in these taxa.

(d). Formentera

The Formentera dormice are the only extant giants and are morphologically different from the fossil giants. It is the only giant population retaining a large infraorbital foramen. Furthermore, the mandibular morphology of this population is characterized by a deep angular notch and relatively large coronoid process, in contrast to the fossil giants. This enlarged coronoid results in a larger attachment area for the temporalis muscle, suggesting an increased incisor bite force, which would be advantageous for the extensive faunivorous behaviour observed within the Formentera population [28]. Previous research has suggested that faunivory, more than other diets, places unique pressures on rodents, driving greater morphological change [58,65]. However, this is not the case in the dormice studied here, with the Formentera population resembling non-giant dormice more than the other giants, based on the relatively short Procrustes distances of the best-fit in the PSvAS model (cranium 0.07; mandible 0.06) (electronic supplementary material, table S6).

(e). Hypnomys

The Hypnomys material in our dataset is much more robust than other dormice, with the exception of L. melitensis. The PSvAS model indicates that the morphology of this genus is substantially different from extant dormice (cranium 0.10; mandible 0.08). The H. onicensis specimen examined here is considered a sub-adult and is less robust than H. morpheus. The latter is characterized by exceptionally pronounced occipital condyles. The robust morphology of the zygomatic area and mandible in the two Hypnomys specimens indicates well developed masseteric musculature, which suggests a diet including tough foods for this genus. A more abrasive plant-based diet has also been suggested based on molar microwear [66].

(f). Leithia

Leithia melitensis is the largest and most robust dormouse. Hypnomys and Leithia show similar morphological modifications, although these are often more pronounced within Leithia [32]. This also explains the relatively large Procrustes distances seen in the PSvAS model for this species (cranium 0.13; mandible 0.12). In particular, the width of the rostrum and the zygomatic plate is exceptional. The mandible within this giant has very large angular and condylar processes. It is the only giant in which there appears to be no fenestration of the angular process. However, the functional significance of this fenestra is unknown. The coronoid is deflected less posteriorly, resulting in a more upright position. The anterior margin of the masseteric ridge is positioned more posteriorly than in other dormice and the incisor is relatively short and curves less superiorly. The cranial and mandibular features seen in L. melitensis, in particular the exceptionally robust mandible, likely represent adaptations to a herbivorous diet [67], possibly explaining its extraordinary size. In addition, considerable variability in wear of the molar row is seen within the analysed fossil material of L. melitensis (electronic supplementary material, figure S4), indicating a relatively abrasive diet against which the molars were used extensively, also consistent with herbivory.

5. Conclusion

Multiple, independent dormice lineages achieved an exceptional large size in insular habitats since the end of the Messinian Salinity Crisis (5.33 Ma) [68]. Extrapolation of common allometry as an evolutionary line of least resistance on short time scales predicts that island giants could have highly similar craniomandibular morphologies. Moreover, a graded trend to gigantism as proposed by the island rule suggests that the importance of selective pressures within an ecosystem varies in a predictable manner [13,14]. However, we find that the morphologies of giant dormice are not an extrapolation along the allometric gradient of non-giant populations. This indicates that insular gigantism may lead to a deviation from the otherwise strong allometric conservatism suggested to exist in rodents [69]. Furthermore, the cranial and mandibular features of giant dormice contain a prominent population-specific component, illustrating divergence and inherently non-predictable adaptations to various different ecological niches, on different islands. These differences in the evolutionary pathways of island giants may reflect differences in ecosystem composition among islands and through geological time. Our findings have implications that extend beyond the study of giant dormice, suggesting that island adaptation may commonly involve ecological shifts that are unique and context-dependent, resulting in a high diversity of evolutionary responses to insular habitats in mammals.

Supplementary Material

Figure S1
rspb20202085supp1.tif (819.4KB, tif)
Reviewer comments

Supplementary Material

Figure S2
rspb20202085supp2.tif (726KB, tif)

Supplementary Material

Figure S3
rspb20202085supp3.tif (23.1MB, tif)

Supplementary Material

Figure S4
rspb20202085supp4.tif (2.6MB, tif)

Supplementary Material

Figure S5
rspb20202085supp5.tif (191.4KB, tif)

Supplementary Material

Figure S6
rspb20202085supp6.tif (1.5MB, tif)

Supplementary Material

Figure S7
rspb20202085supp7.tif (1.8MB, tif)

Supplementary Material

Figure S8
rspb20202085supp8.tif (2.7MB, tif)

Supplementary Material

Table S1
rspb20202085supp9.xlsx (12.2KB, xlsx)

Supplementary Material

Tables S2 - S6
rspb20202085supp10.docx (51.7KB, docx)

Supplementary Material

S1
rspb20202085supp11.docx (16.9KB, docx)

Supplementary Material

S2
rspb20202085supp12.docx (18.9KB, docx)

Acknowledgements

We thank Cesar Espinoza Campuzano for discussions on predicted size models; Antonio Profico for his assistance with the R script; Pip Brewer, Roula Pappa and Roberto Portela-Miguez (NHMUK), Irina Ruf and Thomas Lehmann (SMF), Paolo Viscardi (NMI), Violaine Nicolas (MNHM), Carolina di Patti (G.G. Gemmellaro), Maria Rita Palombo (MUST), Letizia Del Favero and Mariagabriella Fornasiero (IGUP) and Loïc Costeur (NMBA) for collections access; Dan Sykes, Farah Ahmed, Brett Clark and Paul Ward (NHMUK MicroCT scanning and data retrieval). We especially thank Tom Davies at the scanning facility in Bristol, for the many hours spent scanning dormice. The manuscript was significantly improved by the insightful and constructive comments of our anonymous reviewers.

Data accessibility

The datasets supporting this article have been uploaded as part of the supplementary material. MicroCT scans are uploaded to the MorphoSource project ‘Dormice (Gliridae)’ (https://www.morphosource.org/Detail/ProjectDetail/Show/project_id/941)

Authors' contributions

J.J.H. and P.G.C. conceived the study. R.B.J.B., N.J. and J.J.H. scanned the extant specimens. V.L.H., J.A.A., E.T.-R. and J.J.H. provided scans of fossil material. J.J.H. reconstructed and landmarked the dataset, and developed the applied methodology with R.B.J.B. J.J.H. drafted the manuscript. All authors contributed to the editing of the final manuscript and gave final approval before submission.

Competing interests

We declare we have no competing interests.

Funding

J.J.H. is funded by a PhD studentship from the Hull York Medical School. The European Federation of Experimental Morphology provided additional funding enabling the necessary visits to museum collections throughout Europe. Funding was also provided by the European Union's Horizon 2020 research and innovation program 2014–2018 under grant agreement 677774 (European Research Council [ERC] Starting Grant: TEMPO) to R.B.J.B. The contribution of E.T.-R and J.A.A. is a part of the Research Project CGL2016–79795-R funded by the Agencia Estatal de Investigación (Ministerio de Economía, Industria y Competitividad)/Fondo Europeo de Desarrollo Regional (FEDER).

References

  • 1.Foster JB. 1964. Evolution of mammals on islands. Nature 202, 234–235. ( 10.1038/202234a0) [DOI] [Google Scholar]
  • 2.Van Valen L. 1973. Pattern and the balance of nature. Evol. Theory 49, 31–49. [Google Scholar]
  • 3.Freudenthal M. 1972. Deinogalerix koenigswaldi nov. gen., nov. spec., a giant insectivore from the Neogene of Italy. Scr. Geol. 14, 1–19. [Google Scholar]
  • 4.Freudenthal M. 1976. Rodent stratigraphy of some Miocene fissure fillings in Gargano (prov. Foggia, Italy). Scr. Geol. 37, 1–23. [Google Scholar]
  • 5.Daams R, Freudenthal M. 1985. Stertomys laticrestatus, a new glirid (dormice, Rodentia) from the insular fauna of Gargano (Prov. of Foggia, Italy). Scr. Geol. 77, 21–27. [Google Scholar]
  • 6.Freudenthal M. 1985. Cricetidae (Rodentia) from the Neogene of Gargano (Prov. of Foggia, Italy). Scr. Geol. 77, 29–74. [Google Scholar]
  • 7.Mazza P. 1987. Prolagus apricenicus and Prolagus imperialis: two new Ochotonids (Lagomorpha, Mammalia) of the Gargano (Southern Italy). Boll. Soc. Paleontol. Ital. 26, 233–243. [Google Scholar]
  • 8.Angelone C. 2007. Messinian Prolagus (Ochotonidae, Lagomorpha) of Italy. Geobios 40, 407–421. ( 10.1016/j.geobios.2006.04.004) [DOI] [Google Scholar]
  • 9.Quintana J, Köhler M, Moyà-Solà S. 2011. Nuralagus rex, gen. et sp. nov., an endemic insular giant rabbit from the Neogene of Minorca (Balearic Islands, Spain). J. Vert. Paleontol. 31, 231–240. ( 10.1080/02724634.2011.550367) [DOI] [Google Scholar]
  • 10.Agustí J, Bover P, Alcover JA. 2012. A new genus of endemic cricetid (Mammalia, Rodentia) from the late Neogene of Mallorca (Balearic Islands, Spain). J. Vert. Palaeontol. 32, 722–726. ( 10.1080/02724634.2012.652322) [DOI] [Google Scholar]
  • 11.Case TJ. 1978. A general explanation for insular body size trends in terrestrial vertebrates. Ecology 59, 1–18. ( 10.2307/1936628) [DOI] [Google Scholar]
  • 12.Heaney LR. 1978. Island area and body size of insular mammals: evidence from the tri-colored squirrel (Callosciurus prevosti) of Southeast Asia. Evolution 32, 29–44. [DOI] [PubMed] [Google Scholar]
  • 13.Lomolino MV. 1985. Body size of mammals on islands: the island rule reexamined. Am. Nat. 125, 310–316. ( 10.1086/284343) [DOI] [Google Scholar]
  • 14.Lomolino MV. 2005. Body size evolution in insular vertebrates: generality of the island rule. J. Biogeogr. 32, 1683–1699. ( 10.1111/j.1365-2699.2005.01314.x) [DOI] [Google Scholar]
  • 15.McNab BK. 2010. Geographic and temporal correlations of mammalian size reconsidered: a resource rule. Oecologia 164, 13–23. ( 10.1007/s00442-010-1621-5) [DOI] [PubMed] [Google Scholar]
  • 16.van der Geer AA, Lyras GA, Lomolino MV, Palombo MR, Sax DF. 2013. Body size evolution of palaeo-insular mammals: temporal variations and interspecific interactions. J. Biogeogr. 40, 1440–1450. ( 10.1111/jbi.12119) [DOI] [Google Scholar]
  • 17.van der Geer AA. 2014. Parallel patterns and trends in functional structures in extinct island mammals. Integr. Zool. 9, 167–182. ( 10.1111/1749-4877.12066) [DOI] [PubMed] [Google Scholar]
  • 18.Lomolino MV, van der Geer AA, Lyras GA, Palombo MR, Sax DF, Rozzi R. 2013. Of mice and mammoths: generality and antiquity of the island rule. J. Biogeogr. 40, 1427–1439. ( 10.1111/jbi.12096) [DOI] [Google Scholar]
  • 19.Pélabon C, Firmat C, Bolstad GH, Voje KL, Houle D, Cassara J, Le Rouzic A, Hansen TF. 2014. Evolution of morphological allometry. Ann. NY Acad. Sci. 1320, 58–75. ( 10.1111/nyas.12470) [DOI] [PubMed] [Google Scholar]
  • 20.Schluter D. 1996. Adaptive radiation along genetic lines of least resistance. Evolution 50, 1766–1774. ( 10.2307/2410734) [DOI] [PubMed] [Google Scholar]
  • 21.Marroig G, Cheverud JM. 2010. Size as a line of least resistance II: direct selection on size or correlated response due to constraints? Evolution 64, 1470–1488. ( 10.1111/j.1558-5646.2009.00920.x) [DOI] [PubMed] [Google Scholar]
  • 22.Marroig G, Cheverud JM. 2001. A comparison of phenotypic variation and covariation patterns and the role of phylogeny: ecology, and ontogeny during cranial evolution of New World monkeys. Evolution 55, 2576–2600. ( 10.1111/j.0014-3820.2001.tb00770.x) [DOI] [PubMed] [Google Scholar]
  • 23.Huxley JS. 1932. Problems of relative growth. New York, NY: Dial Press. [Google Scholar]
  • 24.Voje KJ, Hansen TF, Egset CK, Bolstad GH, Pélabon C. 2014. Allometric constraints and the evolution of allometry. Evolution 68, 866–885. ( 10.1111/evo.12312) [DOI] [PubMed] [Google Scholar]
  • 25.Lister AM. 1989. Red deer dwarfing on Jersey in the last interglacial. Nature 342, 539–542. ( 10.1038/342539a0) [DOI] [PubMed] [Google Scholar]
  • 26.van der Geer AA, Lyras GA, de Vos J, Dermitzakis M. 2010. Evolution of island mammals: adaptation and extinction of placental mammals on islands. Oxford, UK: Wiley-Blackwell Publishing. [Google Scholar]
  • 27.Palombo MR. 2018. Insular mammalian fauna dynamics and paleogeography: a lesson from the western Mediterranean islands. Integr. Zool. 13, 2–20. ( 10.1111/1749-4877.12275) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kahmann H, Lau G. 1972. Der Gartenschläfer Eliomys quercinus ophiusae Thomas, 1925 von der Pityuseninsel Formentera (Lebensführung). Veröff. zool. Staatssamml. Münch. 16, 29–49. [Google Scholar]
  • 29.Daams R, De Bruijn H. 1995. A classification of the Gliridae (Rodentia) on the basis of dental morphology. Hystrix 6, 3–50. [Google Scholar]
  • 30.Freudenthal M, Martín-Suárez E. 2013. New ideas on the systematics of Gliridae (Rodentia, Mammalia). [Nuevas ideas sobre la sistemática de Gliridae (Rodentia, Mammalia)]. Span. J. Palaeontol. 28, 239–252. ( 10.7203/sjp.28.2.17857) [DOI] [Google Scholar]
  • 31.Bover P, Alcover JA, Michaux JJ, Hautier L, Hutterer R. 2010. Body shape and life style of the extinct Balearic dormouse Hypnomys (Rodentia, Gliridae): new evidence from the study of associated skeletons. PLoS ONE 5, e15817 ( 10.1371/journal.pone.0015817) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Hennekam JJ, Herridge VL, Costeur L, Di Patti C, Cox PG. 2020. Virtual cranial reconstruction of the endemic gigantic dormouse Leithia melitensis (Rodentia, Gliridae) from Poggio Schinaldo, Sicily. Open Quat. 6, 7 ( 10.5334/oq.79) [DOI] [Google Scholar]
  • 33.Orlandi-Oliveras G, Jordana X, Moncunill-Solé B, Köhler M. 2016. Bone histology of the giant fossil dormouse Hypnomys onicensis (Gliridae, Rodentia) from Balearic Islands. C. R. Palevol 15, 238–244. ( 10.1016/j.crpv.2015.05.001) [DOI] [Google Scholar]
  • 34.Mills DH. 1976. Osteological study of the Pleistocene dormouse Hypnomus morpheus Bate from Mallorca (Rodentia, Gliridae). Publ. Paleontol. Inst. Univ. Uppsala 4, 5–73. [Google Scholar]
  • 35.Zelditch ML, Swiderski DL, Sheets HD. 2012. Geometric morphometrics for biologists: a primer. New York, NY: Academic Press. [Google Scholar]
  • 36.Profico A, Veneziano A, Melchionna M, Raia P. 2018. Arothron: R functions for geometric morphometric analyses. R package version 1.0.0. See https://cran.r-project.org/web/packages/Arothron/index.html.
  • 37.R Core Team. 2019. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [Google Scholar]
  • 38.Rohlf FJ. 1990. Morphometrics. Ann. Rev. Ecol. Syst. 21, 299–316. ( 10.1146/annurev.es.21.110190.001503) [DOI] [Google Scholar]
  • 39.Mitteroecker P, Gunz P. 2009. Advances in geometric morphometrics . J. Evol. Biol. 36, 235–247. ( 10.1007/s11692-009-9055-x) [DOI] [Google Scholar]
  • 40.Schlager S. 2017. Morpho and Rvcg: shape analysis in R. In Statistical shape and deformation analysis (eds Zheng G, Li S, Székely GJ), pp. 217–256. San Diego, CA: Academic Press. [Google Scholar]
  • 41.Adams DC, Collyer ML, Kaliontzopoulo A. 2018. Geomorph: Software for geometric morphometric analyses. R package version 3.0.6. See https://cran.r-project.org/package=geomorph.
  • 42.Klingenberg CP. 2016. Size, shape, and form: concepts of allometry in geometric morphometrics. Dev. Genes Evol. 226, 113–137. ( 10.1007/s00427-016-0539-2) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Drake AG, Klingenberg CP. 2007. The pace of morphological change: historical transformation of skull shape in St Bernard dogs. Proc. R. Soc. B 275, 71–76. ( 10.1098/rspb.2007.1169) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Mitteroecker P, Gunz P, Bernhard M, Schaefer K, Bookstein FL. 2004. Comparison of cranial ontogenetic trajectories among great apes and humans. J. Human Evol. 46, 679–698. ( 10.1016/j.jhevol.2004.03.006) [DOI] [PubMed] [Google Scholar]
  • 45.Cox PG, Jeffery N. 2015. The muscles of mastication in rodents and the function of the medial pterygoid. In Evolution of the rodents: advances in phylogeny, functional morphology and development (eds Cox PG, Hautier L), pp. 350–372. Cambridge, UK: Cambridge University Press. [Google Scholar]
  • 46.Hiiemae KM. 1971. The structure and function of jaw muscles in the rat (Rattus norvegicus L.) III. The mechanics of the muscles. Zool. J. Linn. Soc. 50, 111–132. ( 10.1111/j.1096-3642.1971.tb00754.x) [DOI] [Google Scholar]
  • 47.Weijs WA, Dantuma R. 1975. Electromyography and mechanics of mastication in the albino rat. J. Morphol. 146, 1–33. ( 10.1002/jmor.1051460102) [DOI] [PubMed] [Google Scholar]
  • 48.Vinyard CJ, Payseur BA. 2008. Of ‘mice’ and mammals: utilizing classical inbred mice to study the genetic architecture of function and performance in mammals. Integr. Comp. Biol. 48, 324–337. ( 10.1093/icb/icn063) [DOI] [PubMed] [Google Scholar]
  • 49.Cornette R, Herrel A, Cosson J-F, Poitevin F, Baylac M. 2012. Rapid morpho-functional changes among insular populations of the greater white-toothed shrew. Biol. J. Linn. Soc. 107, 322–331. ( 10.1111/j.1095-8312.2012.01934.x) [DOI] [Google Scholar]
  • 50.McIntosh AF, Cox PG. 2016. Functional implications of craniomandibular morphology in African mole-rats (Rodentia: Bathyergidae). Biol. J. Linn. Soc. 117, 447–462. ( 10.1111/bij.12691) [DOI] [Google Scholar]
  • 51.Kiltie RA. 1982. Bite force as a basis for niche differentiation between rain forest peccaries (Tayassu tajacu and T. pecari). Biotropica 14, 188–195. ( 10.2307/2388025) [DOI] [Google Scholar]
  • 52.Herrel A, McBrayer LD, Larsen PM. 2007. Functional basis for sexual differences in bite force in the lizard Anolis carolinensis. Biol. J. Linn. Soc. 91, 111–119. ( 10.1111/j.1095-8312.2007.00772.x) [DOI] [Google Scholar]
  • 53.Herrel A, de Smet A, Aguirre LF, Aerts P. 2008. Morphological and mechanical determinants of bite force in bats: do muscles matter? J. Exp. Biol. 211, 86–91. ( 10.1242/jeb.012211) [DOI] [PubMed] [Google Scholar]
  • 54.Williams SH, Peiffer E, Ford S. 2009. Gape and bite force in the rodents Onychomys leucogaster and Peromyscus maniculatus: does jaw-muscle anatomy predict performance? J. Morphol. 270, 1338–1347. ( 10.1002/jmor.10761) [DOI] [PubMed] [Google Scholar]
  • 55.Cox PG, Rayfield EJ, Fagan MJ, Herrel A, Pataky TC, Jeffery N. 2012. Functional evolution of the feeding system in rodents. PLoS ONE 7, e36299 ( 10.1371/journal.pone.0036299) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Renaud S, Gomes Rodrigues HG, Ledevin R, Pisanu B, Chapuis J-L, Hardouin EA. 2015. Fast evolutionary response of house mice to anthropogenic disturbance on a Sub-Antarctic island. Biol. J. Linn. Soc. 114, 513–526. ( 10.1111/bij.12454) [DOI] [Google Scholar]
  • 57.Cox PG, Morris PJR, Hennekam JJ, Kitchener AC. In press. Morphological and functional variation between isolated populations of British red squirrels. J. Zool. ( 10.1111/jzo.12829) [DOI] [Google Scholar]
  • 58.Fabre P-H, Herrel A, Fitriana Y, Meslin L, Hautier L. 2017. Masticatory muscle architecture in a water-rat from Australasia (Murinae, Hydromys) and its implication for the evolution of carnivory in rodents. J. Anat. 231, 380–397. ( 10.1111/joa.12639) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Ginot S, Herrel A, Claude J, Hautier L. 2018. Skull size and biomechanics are good estimators of in vivo bite force in murid rodents. Anat. Rec. 301, 256–266. ( 10.1002/ar.23711) [DOI] [PubMed] [Google Scholar]
  • 60.Holden-Musser ME, Juškaitis R, Musser GM. 2016. Gliridae. In Handbook of the mammals of the world. Volume 6: lagomorphs and rodents I (eds Wilson DE, Lacher TE, Mittermeier RA), pp. 838–889. Barcelona, Spain: Lynx Edicions. [Google Scholar]
  • 61.Penrose F, Kemp GJ, Jeffery N. 2016. Scaling and accommodation of jaw adductor muscles in Canidae. Anat. Rec. 299, 951–966. ( 10.1002/ar.23355) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Cardini A, Polly D, Dawson R, Milne N. 2015. Why the long face? Kangaroos and wallabies follow the same ‘rule’ of cranial evolutionary allometry (CREA) as placentals. J. Evol. Biol. 42, 169–176. ( 10.1007/s11692-015-9308-9) [DOI] [Google Scholar]
  • 63.Radinsky LB. 1985. Approaches in evolutionary morphology: a search for patterns. Annu. Rev. Ecol. Evol. Syst. 16, 1–14. ( 10.1146/annurev.es.16.110185.000245) [DOI] [Google Scholar]
  • 64.Cardini A. 2019. Craniofacial allometry is a rule in evolutionary radiations of placentals. J. Evol. Biol. 46, 239–248. ( 10.1007/s11692-019-09477-7) [DOI] [Google Scholar]
  • 65.Maestri R, Patterson BD, Fornel R, Monteiro LR, De Freitas TRO. 2016. Diet, bite force and skull morphology in the generalist rodent morphotype. J. Evol. Biol. 29, 2191–2204. ( 10.1111/jeb.12937) [DOI] [PubMed] [Google Scholar]
  • 66.Hautier L, Bover P, Alcover JA, Michaux J. 2009. Mandible morphometrics, dental microwear pattern, and paleobiology of the extinct Balearic dormouse Hypnomys morpheus. Acta Palaeontol. Pol. 54, 181–194. ( 10.4202/app.2008.0001) [DOI] [Google Scholar]
  • 67.Michaux J, Chevret P, Renaud S. 2007. Morphological diversity of Old World rats and mice (Rodentia, Muridae) mandible in relation with phylogeny and adaptation. J. Zool. Syst. Evol. Res. 45, 263–279. ( 10.1111/j.1439-0469.2006.00390.x) [DOI] [Google Scholar]
  • 68.Krijgsman W, Hilgen FJ, Raffi I, Sierro FJ, Wilson DS. 1999. Chronology, causes and progression of the Messinian salinity crisis. Nature 400, 652–655. ( 10.1038/23231) [DOI] [Google Scholar]
  • 69.Wilson LA. 2013. Allometric disparity in rodent evolution. Ecol. Evol. 3, 971–984. ( 10.1002/ece3.521) [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1
rspb20202085supp1.tif (819.4KB, tif)
Reviewer comments
Figure S2
rspb20202085supp2.tif (726KB, tif)
Figure S3
rspb20202085supp3.tif (23.1MB, tif)
Figure S4
rspb20202085supp4.tif (2.6MB, tif)
Figure S5
rspb20202085supp5.tif (191.4KB, tif)
Figure S6
rspb20202085supp6.tif (1.5MB, tif)
Figure S7
rspb20202085supp7.tif (1.8MB, tif)
Figure S8
rspb20202085supp8.tif (2.7MB, tif)
Table S1
rspb20202085supp9.xlsx (12.2KB, xlsx)
Tables S2 - S6
rspb20202085supp10.docx (51.7KB, docx)
S1
rspb20202085supp11.docx (16.9KB, docx)
S2
rspb20202085supp12.docx (18.9KB, docx)

Data Availability Statement

The datasets supporting this article have been uploaded as part of the supplementary material. MicroCT scans are uploaded to the MorphoSource project ‘Dormice (Gliridae)’ (https://www.morphosource.org/Detail/ProjectDetail/Show/project_id/941)


Articles from Proceedings of the Royal Society B: Biological Sciences are provided here courtesy of The Royal Society

RESOURCES