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Correlation of skull morphology and bite force in a bird-eating bat (Ia io; Vespertilionidae)

Frontiers in Zoology volume 17, Article number: 8 (2020) Cite this article

Abstract

Background

Genetic and ecological factors influence morphology, and morphology is compatible with function. The morphology and bite performance of skulls of bats show a number of characteristic feeding adaptations. The great evening bat, Ia io (Thomas, 1902), eats both insects and birds (Thabah et al. J Mammal 88: 728-735, 2007), and as such, it is considered to represent a case of dietary niche expansion from insects to birds. How the skull morphology or bite force in I. io are related to the expanded diet (that is, birds) remains unknown. We used three-dimensional (3D) geometry of the skulls and measurements of bite force and diets from I. io and 13 other species of sympatric or closely related bat species to investigate the characteristics and the correlation of skull morphology and bite force to diets.

Results

Significant differences in skull morphology and bite force among species and diets were observed in this study. Similar to the carnivorous bats, bird-eaters (I. io) differed significantly from insectivorous bats; I. io had a larger skull size, taller crania, wider zygomatic arches, shorter but robust mandibles, and larger bite force than the insectivores. The skull morphology of bats was significantly associated with bite force whether controlling for phylogeny or not, but no significant correlations were found between diets and the skulls, or between diets and residual bite force, after controlling for phylogeny.

Conclusions

These results indicated that skull morphology was independent of diet, and phylogeny had a greater impact on skull morphology than diet in these species. The changes in skull size and morphology have led to variation in bite force, and finally different bat species feeding on different foods. In conclusion, I. io has a larger skull size, robust mandibles, shortened dentitions, longer coronoid processes, expanded angular processes, low condyles, and taller cranial sagittal crests, and wider zygomatic arches that provide this species with mechanical advantages; their greater bite force may help them use larger and hard-bodied birds as a dietary component.

Background

Ontogeny, evolutionary history, and ecology (e.g., biological interactions with environmental variables) though selection directly or indirectly influence the morphological variation of organisms [1,2,3]. Ecomorphology assumes that morphological changes of animals are related to behavior, performance, and fitness; they are influenced by heredity, living environment, and feeding habits [4,5,6,7,8]. Among these factors, feeding habits are the main forces affecting the skull morphological differences of animals [9,10,11,12]. Animals with different feeding habits have evolved morphological characteristics related to their diets. These morphological differences are partly reflected in bone structure and body size [13]. Additionally, the evolutionary history of organisms also influences morphology and causes closely related species to exhibit similar morphology [14,15,16].

The skulls of animals are the most important structures used for perceiving and interacting with the external environment; skulls play an important role in food collection and processing, drinking, vocalization, and respiration [17, 18]. The variation in skull morphology in various bat species are related to feeding ecology in bats [19, 20], different food types are matched by the morphological and functional cranial specializations [21], and thus, skull characteristics can be used to predict phylogenetic relationships [22], food composition, and feeding niche breadth.

Bite force is the basis of numerous types of functional demands of vertebrates (e.g., feeding, mating, defense, and competition) and is closely related to body size and skull morphology [20, 23, 24]. Bite force is also an important performance trait. Increased bite force can broaden the spectrum of available prey [7], and the difference in bite force among various taxa is linked to skull shape divergence and a variety of ecological challenges, such as food acquisition, mating, and predator avoidance [25,26,27,28].

The relationships between skull morphology, bite force, and diet have been investigated in a variety of animal groups, including fish [29, 30], lizards [24, 31], crocodilians [32], turtles [33], rodents [12, 34], birds [23]. Many studies have also focused on bats [19,20,21, 35,36,37,38,39,40], but studies involving skull morphology, in vivo bite force, and diets in a single study are limited. For example, Nogueira et al. [28] investigated the relationship between skull morphology, bite force, and diet of 14 species in Phyllostomidae and found that the bite force was associated with the former two factors. Micronycteris microtis, a carnivorous bat, has a strong mechanical advantage in skull morphology, and thus can generate a sufficient bite force to prey upon lizards [40].

Bats are nocturnal mammals with numerous species. Their feeding systems have a relatively simple anatomy and various species have a highly diverse skull morphology. The effect of natural selection on the skull morphology seems to translate into changes in bite force [28, 38]. The study of ecological adaptation of skull morphology and bite force is useful for revealing the evolutionary trends associated with diet in bats. According to the type of food, bats can be classified as Insectivores, Carnivores, Piscivores, Frugivores, Nectarivores, and Sanguivores [37, 41]. Bats with different feeding habits have different skull morphology and bite force [20]. Currently, a growing number of studies have analyzed the three-dimensional geometrics of bat skull morphology and have taken field measurements of bite force, but most of these studies have been done independently.

Like piscivorous bats [42], bird-eating bats fill a rare dietary niche that has expanded from low- to high-quality food resources. Among the 1300 bat species, Nyctalus lasiopterus, N. aviator, Vampyrum spectrum, and I. io are known to regularly consume birds in addition to insects [43,44,45,46,47]. The great evening bat, I. io, is widely distributed in southern Asia and is also found in southern China. The species mainly feeds on insects and has been speculated to prey on small passerine birds. We have confirmed that 22 bird species (about 6.3–18.5 g) from seven families of Passeriformes were hunted by I. io based on fecal DNA analysis, suggesting a very high prey (birds) diversity (unpublished data, L. Gong). The expansion of the dietary niche enables I. io to use more resources in the environment. Their successful predation on birds is inevitably affected by ecological selection. Under such pressures, it is unclear whether the skull morphology of bird-eating bats has undergone certain changes to generate higher bite performance to enable the bats to capture and kill birds.

In this study, we used 3D geometry of the skulls as well as bite force and diet measurements from I. io and 13 other sympatric or closely related species to investigate the characteristics and the correlation of skull morphology and bite force to bat diets in a phylogenetic context. We hypothesized that the skull shape and size of I. io would be more similar to those of carnivorous bats rather than insectivorous or piscivorous bats. We predicted that I. io skulls would have higher sagittal crests, wider and stronger zygomatic arches, shortened jaws and rostrums, taller dentaries, higher coronoid processes, lower condyles, and expanded angular processes. We also hypothesized that I. io would have the largest size-specific bite force, since they can capture and kill larger and harder prey (birds) than insectivorous bats. Finally, we hypothesized that skull morphology, bite force, and diet would correlate to each other in the 14 bat species. We predicted that the skull morphology and bite force would be associated with diets, and that the higher bite force would also be related to the specific skull morphology, such as robust mandibles, taller skulls, and wider zygomatic arches.

Results

Skull morphology differences among species

Principal component analysis (PCA) showed that different species occupy different positions in tangential spaces. For the mandibular morphology, the first four PCs explained 68.25% of the total variance (PC1 = 35.93%, PC2 = 13.95%, PC3 = 12.27%, PC4 = 6.1%). Ia io, Scotomanes ornatus, Eptesicus fuscu, Nyctalus plancyi, Vespertilio sinensis, Myotis chinensis, Myotis pilosus, and Miniopterus fuliginosus were all located on the same end of the PC axis, and have similar mandible shapes. The skulls of these eight species have shorter and stronger mandibles, taller and wider coronoid processes, lower condyles, and expanded angular processes when compared with the skulls of other species (Fig. 1a; Fig. S1a, Additional file 1). Such interspecific differences also existed in cranial morphology. (i) Dorsal cranium: the first four PCs explained 69.81% of the total variance (PC1 = 41.41%, PC2 = 12.89%, PC3 = 8.55%, PC4 = 6.96%). Ia io and its closely related species (S. ornatus, E. fuscu, V. sinensis, N. plancyi) were located on the positive end of the PC axis, with shorter crania, wider zygomatics, and wider interorbital spacing (Fig. 1b; Fig. S1b, Additional file 1). (ii) Lateral cranium: the first four PCs explained 82.52% of the total variance (PC1 = 52.66%, PC2 = 12.73%, PC3 = 9.21%, PC4 = 7.92%). Ia io and its related species were located on the positive end of the PC axis; the skulls of these species possess shortened heads and rostras, high sagittal crests, and convex supraoccipital bones (Fig. 1c; Fig. S1c, Additional file 1). (iii) Ventral cranium: the first four PCs explained 78.13% of the total variation (PC1 = 51.87%, PC2 = 11.35%, PC3 = 7.76%, PC4 = 7.15%). Skulls of I. io also and those of its relatives have wider zygomatic arches and posterior occipitals (Fig. 1d; Fig. S1d, Additional file 1). In summary, both cranial and mandibular characteristics separated the species well; both measures showed that the skull morphology of I. io is similar to their closely related species, but were very different from less closely related species (e.g., species in Hipposideridae and Rhinolophidae).

Fig. 1
figure 1

Distribution of 14 bat species according to the first two principal component (PC1, PC2) scores. a Mandibular; b Dorsal cranium; c Lateral cranium; d Ventral cranium

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Skull morphology differences among species with different diets

The results of skull morphological disparity showed that there were no significant differences among dietary groups, whether accounting for phylogeny or not (almost all P > 0.05; see Table S1, Additional file 2). However, Procrustes analysis of variance showed that significant differences in cranial and mandibular morphology exists among bat species with different diets (dorsal: R2 = 0.104, F = 2.51, df = 3, P = 0.002; lateral: R2 = 0.112, F = 2.73, df = 3, P = 0.006; ventral: R2 = 0.116, F = 2.831, df = 3, P = 0.003; mandible: R2 = 0.121, F = 2.975, df = 3, P = 0.001).

The deformation grid of the thin-plate spline showed the differences in skull shape between the bird-eating and insectivorous bats (Fig. 2a, b, c, d). Compared with the insectivores, the bird-eaters displayed shorter mandibles, higher coronal processes, lower and sunken inward condyle processes, expanded angular processes, and increased distance between the last molar and the ascending ramus (Fig. 2a). Carnivorous bats exhibited similar characteristics to the insectivores in addition to the angular processes (Fig. 2e). In the dorsal cranium, both bird-eaters and carnivores had narrower interorbital spacings and wider zygomatic arches than insectivores (Fig. 2b, f). In addition, the bird-eaters and insectivores also differed in the lateral and ventral cranium; the bird-eaters had a convex supraoccipital bone, a shorter dentition and cranial length, and a wider zygomatic arch (Fig. 2c, d). On the whole, the length and width of the cranium, interorbital spacing and dentition length of the bird-eaters were similar to those of the carnivores but were different from the insectivores.

Fig. 2
figure 2

Mesh deformation diagram showing skull shape differences between the mean shape of (a, b, c, d) insectivorous and bird-eating bats and (e, f, g, h) with carnivorous bats. a, e Mandible; b, f Dorsal cranium; c, g Lateral cranium; d, h Ventral cranium

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Skull size and head dimension differences among species with different diets

The Kruskal-Wallis test showed that the centroid sizes of each part of the skull were significantly different among the bats with four types of diets (all P < 0.01). The bird-eating bats had a significantly larger centroid size when compared with the insectivorous and piscivorous bats (all P < 0.05, Fig. 3), but no significant differences existed between bird-eating and carnivorous bats in mandibles or between characteristics of the dorsal, lateral, or ventral cranium (all P > 0.05, Fig. 3). Furthermore, the Kruskal-Wallis test of the in vivo measurements of external head dimension also showed that significant differences existed in the head length, width, and height among the bats with these four types of diets (all P < 0.01). The external head size of bird-eating bats was larger, which was not significantly different from that of carnivorous bats (all P > 0.05; see Fig. S2, Additional file 3), but was significantly different from those of insectivorous and piscivorous bats (all P < 0.01; see Fig. S2, Additional file 3).

Fig. 3
figure 3

Box plot showing differences in natural log-transformed centroid size (logCS) between four diet categories. a Mandible; b Dorsal cranium; c Lateral cranium; d Ventral cranium

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Bite force differences among species with different diets

The results showed that the bite force was significantly, positively correlated with body size (see Fig. S3, Additional file 4). After correcting for body size, we found that the bite force was significantly different among the four dietary categories (all P < 0.05).

The bite force of bird-eating bats was the largest, followed by that of carnivorous bats, while the piscivorous and most insectivorous bats had relatively small bite forces. The differences in bite force between bird-eaters and insectivores/piscivores were significant (all P < 0.001) but were not significant between bird-eaters and carnivores (Fig. 4).

Fig. 4
figure 4

Differences in relative bite force among four diet categories. a Corrected forearm length (bite force/forearm length); b corrected head length (bite force/head length); c corrected head breadth (bite force/head breadth); d corrected head height (bite force/head height)

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Relationships among skull morphology, bite force, and diets

Phylogenetic generalized least squares regression (PGLS) showed that the dorsal, lateral, ventral, and mandible of the skull had no allometric effects (all P > 0.05). Additionally, the results of PGLS also showed that the skull and residual bite force had no significant correlations with diets (all P > 0.05, Table 1).

Table 1 The relationships between skull morphology, residual bite force, and diet after controlling for phylogeny
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Significant correlations were observed between all parts of the skull and residual bite force (all P < 0.05) when phylogeny was taken into account (Table 2). After accounting for phylogeny, the relationships between ventral cranium and mandible skull morphology with bite force were still significant (Table 2). Therefore, the skull morphology of bats was significantly associated with residual bite force whether or not phylogeny was controlled for.

Table 2 The relationship between skull (cranium, mandible) morphology and the bite force with or without phylogenetic effects. Bold fonts indicates significant differences (P < 0.05)
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Two-block partial least squares (PLS) results showed that the residual bite force was significantly correlated with the morphology of the dorsal cranium, ventral cranium, and the mandible (The correlation coefficient between two blocks: r-PLS were 0.762, 0.77, 0.904, respectively; all P < 0.05) except for the lateral cranium (r-PLS: 0.646; P = 0.112). Among these, bite force was most affected by the mandible, i.e., a larger bite force was often accompanied by a stronger mandible, shorter dentition, a taller coronoid process, a lower condyle, and an expanded angular process (Fig. 5a). Moreover, greater bite force was also accompanied by a relatively tall sagittal crest, a convex supraoccipital bone, a shortened head length, and a widened zygomatic arch (Fig. 5b, c, d). Compared with the insectivorous bats, the bird-eating bats of I. io displayed stronger jaws with taller and thicker dentaries, shortened dentition, a taller coronoid process, an expanded angular process, a lower condyle, higher cranial sagittal crests, and wider faces and zygomatic arches, which produced a relatively high bite force (Fig. 5).

Fig. 5
figure 5

The regression of the residual bite force on the skull partial least squares (PLS) shape vector. a Mandible; b Dorsal cranium; c Lateral cranium; d Ventral cranium. The bottom is the change in shape. Above, the skulls of a bird-eating bat (Ia io). Below, the skulls of an insectivorous bat (Rhinolophus ferrumequinum)

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Phylogenetic signals

Our results revealed that strong phylogenetic signals in skull shape were detected, except for the regression residual of the ventral cranium on size corrected bite force (K = 0.471, P = 0.087; see Table 3). In addition, the phylogenetic signals were also present in the dispersion of the species in skull phylomorphospaces (Fig. 6), where closely related species are adjacent in four morphospaces; that is, I. io is close to its related species.

Table 3 The phylogenetic signal of skull shape based on regression residuals. K, observed phylogenetic signal; P, the significance level of the observed signal. RBF: Phylogenetic signals based on regression residuals of skull morphology and size corrected bite force (Residual bite force); Diet: Phylogenetic signals based on regression residuals of skull morphology and diet. Bold fonts indicates significant differences (P < 0.05)
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Fig. 6
figure 6

Phylomorphospaces (Principle component (PC) 1 versus PC2) of the skull mean shape in these species. a Mandible; b Dorsal cranium; c Lateral cranium; d Ventral cranium

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Discussion

In this study, we found that the skull size and morphology of I. io was significantly different from other species but similar to closely related species and carnivorous bats, displaying higher mechanical advantage than that of other species. These results supported our first hypothesis. Moreover, with the exception of certain hard insect-eating insectivorous species (i.e., S. ornatus, H.armiger), I. io had a bite force that was stronger than that observed in insectivores and piscivores in general; but was similar to carnivorous bats, supporting our second hypothesis. Additionally, although we found that the skull morphology of bats was significantly associated with bite force whether or not controlling for phylogeny. The skull and residual bite force had no significant correlation with diets after controlling for phylogeny, which may partly support our third hypothesis. These results showed that phylogeny influenced skull morphology and the size of bats, leading to variation in bite force, and finally to feeding on different prey.

Differences in skull morphology among species

Our results showed that the skull morphology of I. io was separated from the insectivores in Hipposideridae and Rhinolophidae (Fig. 1; Fig. S1, Additional file 1), reflecting the differences in foraging behavior and niches between the sympatric species. Because limited habitat or food availability drives inter- and intraspecific competition [48], such morphological differences optimize the use of resources and avoids diet overlap in various species, thus facilitating species coexistence. For example, the morphological differences in four Artibeus species affect their food choice and foraging behavior when feeding on fruits, resulting in ecological segregation and coexistence [49].

However, I. io and other Vespertilionids show more similarities in skull shape than other groups of bats, especially to their closely related species (e.g., S. ornatus, E. fuscu, N. plancyi, and V. sinensis) (Fig. 6), suggesting that phylogenetic relationships played an important role in skull shape evolution of I. io. The results also further confirmed that skull shape were affected by phylogeny (Table 3). Our results were consistent with those of previous studies [50,51,52], which confirmed that the morphology of the cranium or mandible are affected and restricted by phylogeny in birds and mammals.

Differences in skull morphology among species with different diets

Mounting evidence has suggested that a significant relationship exists between morphological variation and dietary specialization in bats [21, 40]. The skull shape and size of I. io greatly differed from those of the insectivorous bats but were less different from the piscivorous M. pilosus in this study. Our results confirmed that the bird-eaters (I. io) have higher mechanical advantages in their skulls, similar to those of carnivorous bats (Megaderma lyra). Such convergence was the result of the adaptation of the feeding apparatus to different diets, because feeding on various prey requires different functional requirements, and such morphological innovations dominate feeding performance and trophic level [39]. Prey size and hardness play an important role in shaping the phenotypes of bats [21, 53]. Bird-eaters and carnivores both feed on larger vertebrates with soft external bodies and hard internal bones, which require a higher mechanical advantage to bear the heavy loads involved in predation and chewing of food. For example, animal-eating species in the Phyllostomidae have relatively convergent cranium and mandible morphology with carnivorous species, but are quite different from the insectivorous species [35]. In Myotis, the skull morphology of the facultatively piscivorous species and piscivorous species (Myotis vivesi) was quite similar, with both being significantly different from that of the insectivores [54]. Thus, skulls with high mechanical advantages in carnivorous bats including bird-eaters are the main reasons why they are able to prey on terrestrial vertebrates.

Differences in bite force among species with different diets

In general, among the four categories considered herein, bird-eating bats had the strongest bite force, which was similar to that of carnivorous bats and was significantly stronger than piscivores and most of the insectivores. In this case, bird-eaters and carnivores may have generated a greater bite force than those of piscivores and insectivores to kill and overcome the resistance of their prey (e.g., vertebrates). This is consistent with previous studies on various diets of bats. For example, the frugivorous species possess the largest bite force, while the nectarivorous species have the smallest; the bite force of insectivorous bats falls between these [21, 28]. Also, the few species feeding on hard insects (i.e., S. ornatus, H. armiger, H. pratti) had relatively high bite force within the insectivorous group, similar to the previous studies showing that the bite force of Scotophilus heathi (hard beetle-eating) was larger than Rhinolophus luctus (soft moth-eating) [55]. These results indicate that the variation of bite force in bats may be related to the hardness of food, and that feeding on vertebrates with harder endoskeletons requires greater mechanical force to bite and chew. Similarly, the degree of food hardness a species can handle is limited by the strength of its bite and the loads that skull can withstand [56]. However, the specific relationship between bite force and food hardness in these species remains to be investigated in our future study.

The difference in bite force is also related to the available food resources, because a larger bite force can allow a species to use more diverse food resources in the environment [38]. Many studies have shown that bite force is an important factor in determining the dietary niche of bat species because a low bite force constrains the species to use a limited portion of the available resources [57,58,59,60,61]; in addition, dietary specialization may lead to a decline in the trophic breadth of certain species through affecting bite force [62, 63]. Here, the largest bite force was observed in I. io, which may be another reason for its dietary niche expansion from low to high quality prey.

The bite force of animals is also affected by body size [27], with larger-bodied species having a stronger bite force allowing them to consume a broader range of food resources [53, 64]. Interspecific differences in bite force were also related to body size in lizards [65], turtles [64, 66] and bats [38, 67], with larger body and head dimensions accompanied by greater bite force. In our study, bird eaters have larger skull sizes as well as head dimensions (Fig. 3; Fig. S2, Additional file 3); a significant positive correlation was observed between bite force with both the forearm length and head dimensions (Fig. S3, Additional file 4), indicating that the larger body size and head of I. io has led to the greater bite force. Our results were consistent with previous studies in bats. For example, the bite force of Phyllostomid bats was positively correlated with body mass, head height, and head length [28, 38]. Senawin et al. [67] also found that the bite force of a diverse group of insectivorous bats was positively correlated with their forearm length, body mass, and head dimensions; larger body and head were accompanied by greater bite force.

The relationship between skull morphology with bite force and diet

The adaptation of animals to novel trophic niches is often accompanied by extensive skull morphological specializations [68,69,70]. Thus, specific bite force is not only an adaptation to diet but also a product of evolution of the feeding apparatus. Previous studies on various animals have confirmed that the morphology of the cranium and mandible affect bite force [28, 71, 72]. In sigmodontine rodents, strong biters have a more compact and robust skulls and mandibles, whereas weaker biters are more gracile and elongate skulls [12]. Bite force in horned lizards (Phrynosoma) was also associated with morphological changes in jaw and head [73]. Also, in phyllostomid bats, the different bite forces in various species correspond to specific skull structures, where those species with shorter and taller craniums and mandibles possess a stronger bite force [28]. Our results show that the skull morphology of bats was significantly correlated with bite force (Table 2), in agreement with the pattern observed above. The bats of I. io have robust mandibles (that is, taller and thicker dentaries), shorter dentitions, higher coronoid processes, expanded angular processes, and low condyles. The cranium has relatively high sagittal crests, convex supraoccipital bones, reduced interorbital spacing, and more robust and wider zygomatic arches (Fig. 5). The fact that these morphological characteristics of the skull are associated with the largest bite force in I. io reflect the basic biomechanical properties of the skull. In mandibular lever systems, a shorter jaw has shorter out-lever arms but longer temporalis moment arms; hence, it has a greater mechanical advantage to produce a higher force output [27, 74].

Additionally, muscle types, fiber length and orientation are also important in bite force production by affecting muscle force [75]. In other animals, fiber length may constrain the gape angles at which force can be optimally produced, and changes in fiber orientation has an effect on pennation angle that may either change the bite force and provide an advantage for jaw opening or closing [76]. Temporalis muscle attachment (volume) and physiological cross-sectional area are related to body size and also affect the bite force [75, 77], in that species with a larger cranium, a larger temporalis mass, and shorter temporalis fiber lengths bite harder. Thus, larger head size and the features of the skull in I. io such as robust mandibles, high cranial sagittal crests, and wider zygomatic arches allow for more jaw adductors (temporalis) and specific muscle fiber length and orientation, which may lead to elevated bite force to help I. io withstand the high biomechanical loads imposed by their prey (i.e., birds). However, only by determining a direct link between mandibular adductors and bite force can this question be resolved.

A large number of studies have shown that a greater bite force is related to changes in the prey spectrum or prey types consumed [31, 57]. Bird-eating in bats may represent a case of dietary niche expansion from low-to high-quality food resources, which may increase fitness. Relative to the other bat species, I. io have greater bite force and we also found that hair of I. io was smoother and brighter, which may suggest higher fitness. Thus, the bite force of I. io may affect the diet, and finally increase the bats’ fitness. Surprisingly, the skull morphology and bite force were independent of diet after controlling for phylogenetic effects (Table 1), which suggested that phylogeny has a greater contribution than diet on the skull morphology and bite force in these bats. These observations may have two explanations. Arbour et al. [78] found that echolocation related to an early lineage of species had a greater contribution than diet to the evolution of the cranium in bats. Moreover, the skull morphology in carnivores and marsupials are strongly influenced by phylogeny, especially in felids, ursids, and canids [26, 79, 80]. In this study, the insectivorous species (such as S. ornatus, E. fuscu, V. sinensis, and N. plancyi) that were closely related to I. io, tended to be close each other in morphometric space (Fig. 6), which means the average amount of shape change along the branches of the tree is relatively small. Thus, the common evolutionary history may weaken the influence of diet on morphology and bite force among those species. Additionally, here accurate information related to diet and the physical properties of food in many species were lacking, resulting in insectivorous species accounting for a large proportion (78.57%), which may also affect our results. Future research would reveal in depth the relationship between skull morphology, bite force, and diet by more accurately determining the diets of each species and increasing the number of species in each dietary taxon.

Conclusions

We used three-dimensional geometric morphology methods and a phylogenetic comparison framework to explore the relationships and adaptive features between skull morphology, bite force, and diet of a bird-eating bat (I. io). The results showed that when compared to other bat species, I. io had a skull providing it with a mechanical advantage including robust mandibles with shortened dentitions, higher coronoid processes, expanded angular processes, low condyles, and large skull size with a higher cranium, convex supraoccipital bones, reduced interorbital spacing, as well as more robust and wider zygomatic arches. This species also had a stronger bite force that with skull characteristics enable this bat species to hunt relatively large and hard birds, similar to M. lyra (a carnivorous bat). Moreover, our results suggested that phylogeny had a greater impact on the characteristics of skull morphology than diet and further impacted on the bite force of these species. A critical limitation of the present study was the relatively small number of species and narrow range of diets, especially for bird-eating, piscivorous, and carnivorous bats. This may have weakened the effects of diets on skull morphology because a large proportion of the species studied here were insectivorous. Thus, more bat species and detailed food hardness data would be needed in a future study. Additionally, the foraging strategy of I. io may also play an important role in prompting the bats to hunt birds. Thus, further behavioral observations in I. io will also help in understanding the adaptation of bats to hunting birds.

Methods

Samples and dietary classification

From April to August in 2018, we collected bite force and skull morphology data of 14 species of bats (see Table S2, Additional file 5). These bats were divided into four categories: (i) Insectivorous: S. ornatus, E. fuscu, N. plancyi, V. sinensis, M. fuliginosus, M. chinensis, Hipposideros armiger, Hipposideros pratti, Rhinolophus ferrumequinum, Rhinolophus pearsonii, Rhinolophus rex; (ii) Carnivorous: M. lyra; (iii) Piscivorous: M. pilosus; and (iv) Bird-eating: I. io. Diets were classified based on the feeding behavior and the literature [37, 81,82,83,84,85].

Bite force and body size measurements

Bats were captured using mist nets when leaving their roosts or caves. After capture, the age, sex, and reproductive status were evaluated, and only adult males and adult non-pregnant, non-lactating females were used for the measurements. Age and sex were identified based on the degree of ossification of the coat and tibia [86]. Reproductive status in females was determined by examining the nipples and palpitation of the abdomen [87]. Then, bats were put into cloth bags and transferred to the field laboratory to measure the bite force using a bite force test system (Nanjing Bioinspired Intelligent Technology Co., Ltd., Nanjing, China) with an accuracy of 0.01 N. Bite force was recorded at the molars. According to the methods in Freeman and Lemen [88], measurements were repeated five times for each bat with an inter-trial interval of at least 5 min. The maximum value of the five measures was considered as the maximum bite force produced by that individual. The bite force of the species was calculated by averaging the maximum bite force of each individual. We also measured forearm length, head length, head width, and head height using a digital caliper (TESA-CAL IP67, Tesa Technology, Renens, Switzerland). All of the measurements were taken within 1–2 h of capture, and the bats were released afterward.

3D skull morphology data

We used a Blu-ray 3D scanner (OKIO-5 M-100, TianYuan, Beijing, China) to scan every direction of each skull. The scanning accuracy was 0.005 mm with a 0.04 mm sampling point distance. Then, we spliced all of the directional data together by a Geomagic Control X 2018.0.0 (3D Systems., Inc., Rock Hill, SC) to obtain complete three-dimensional skull images. According to the 3D geometric morphology method, 56 three-dimensional landmarks and 83 semi-landmarks from the cranium and mandible were selected to quantify the skull morphology (see Additional file 6 for details). The landmarks were digitized using Landmark Editor 3.6 [89]. Each skull was digitized three times, and the average value was used for subsequent analysis. In order to avoid redundant information related to symmetrical skull structure, we selected the right side of the cranium and mandible for analysis.

For damaged and incomplete skulls, we estimated the location of missing landmarks using the function “estimat.missing” in package “geomorph” [90] in R 3.5.1 [91]. The missing landmarks in the incomplete specimens were designated by NA in place of the x,y,z coordinates. We then used the thin-plate spline (method = “TPS”) to interpolate landmarks on a reference specimen to estimate the locations of missing landmarks on a target specimen. Then, we performed a Generalized procrustes analysis (GPA) for all specimens landmark coordinates with the function “gpagen” in package “geomorph” [90] in R 3.5.1 [91]. The landmarks and semi-landmarks were superimposed in a common coordinate system to remove the effect of location, orientation, and scale among various samples. Here, the Procrustes distance was used to optimize the semi-landmark positions along the curve to obtain the Procrustes aligned coordinates and centroid size. After all specimens’ coordinates had been superimposed using GPA, we obtained the mean shape of each species’ skull from the global object by the function “mshape” in package “geomorph” [90] in R 3.5.1 [91] for subsequent analysis.

Molecular data and phylogenetic tree

To ensure a relatively accurate reconstruction of the phylogenetic tree, we combined mitochondrial genetic data with the nuclear genetic data. Based on previous studies [92, 93], DNA sequences of 14 species were extracted from wing tissue. The mitochondrial gene Cytb (1140 bp), nuclear genes Chd1 (595 bp), and Acox2 (560 bp) were amplified (see Table S3 for details, Additional file 7). We used BioEdit 7.2.5 [94] to splice and align target sequences, and selected the best fitting alternative model with PartitionFinder 2.1.1 [95]. We constructed a phylogenetic tree for these 14 species using MrBayes 3.2.6 [96] (see Fig. S4, Additional file 8).

Statistical analysis

Linear regression was performed to assess the effects of body parameters on the changes in bite force. In the models, the averages of the bite force and body size (forearm length, head length, head width, and head height) of each species were used. The Kolmogorov-Smirnov test results showed that our data did not fit a normal distribution, and thus we used nonparametric Kruskal-Wallis tests to compare the relative bite force after correcting for body size (bite force/ forearm length, bite force/head length, bite force/head breadth, bite force/head height), external head dimension (logarithmic transformation of the head length, head width, head height), and skull size (logarithmic transformation of the centroid size) in four dietary categories using 1000 permutation tests. Then, we paired the bird-eating bats with the other three dietary categories for nonparametric pairwise comparisons to explore the differences between the bird-eaters and the other dietary categories.

To explore the differences in skull morphology among different species and diets, we performed PCA on the morphological coordinates of the crania (dorsal, ventral, lateral) and mandibles in all of the individuals using the “plotTangentSpace” function in package “geomorph” [90] in R 3.5.1 [91]. We analyzed the mean shape of the cranium and mandible in four dietary categories (Insectivorous, Carnivorous, Piscivorous, Bird-eating) to obtain the differences in morphology using the “procD.lm” functional in package “geomorph” [90] in R 3.5.1 [91]. To explore the effects of skull size on morphology, we used the mean shape and mean centroid size (logCS) of each species to perform an allometric analysis with the procD.pgls functional in the package “geomorph” [90] in R 3.5.1 [91].

The relationships between bite force, skull shape, and diet were assessed through multiple linear regression and PGLS by the procD.lm and procD.pgls functions in the package “geomorph” [90] in R 3.5.1 [91]. Here, the shape coordinates were considered as the dependent variables; the residual bite force (the regression residual of log bite force on log head length) and diet were considered as independent variables. We employed a two-block PLS analysis in package “geomorph” [90] with function “two.b.pls” to find a linear combination of the shape variables showing maximum covariance with bite force. In this analysis, the mean shape coordinates of the skull were included as independent variables (Block1), and residual bite force was included as a dependent variable (Block2). We used the “morphol.disparity” function in package “geomorph” [90] in R 3.5.1 [91] to compare the disparity in skull morphology among various diets whether or not phylogeny was controlled for. The Procrustes aligned coordinates were used in the function to calculate the Procrustes variance of each group, which depended on the group means, using the residuals from our model. Significance was evaluated by 1000 permutations, where vectors of residuals were randomized among the two groups. We also used the “plotRefToTarget” function in package “geomorph” [90] in R 3.5.1 [91] to visualize the skull differences through deformation grids. As a final step, we evaluated the phylogenetic signals of skull morphology under a Brownian motion model of evolution using the “physignal” function in package “geomorph” [90] in R 3.5.1 [91], which uses the K statistic [97] for highly multivariate data [98]. The phylogenetic signal tests were based on the residuals of the general linear regression model [99]. Here, the mean shape Procrustes coordinates of all species were dependent variables; the independent variable was bite force or diet; and 1000 random permutations were conducted to assess statistical significance. To visualize the variation in shape among species associated with phylogeny, we carried out the function “plotGMPhylomorphoSpace” for the mean shape in package “geomorph” [90] in R 3.5.1 [91].

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

PCA:

Principal component analysis

PC:

Principal component

PGLS:

Phylogenetic generalized least squares regression

PLS:

Partial least squares

GPA:

Generalized procrustes analysis

References

  1. Caumul P, Hailes HC. Baylis-Hillman reactions in aqueous acidic media. Tetrahedron Lett. 2005;46:8125–7.

    Article  CAS  Google Scholar 

  2. Wiens JJ, Graham CH. Niche conservatism: integrating evolution, ecology, and conservation biology. Ann Rev Ecol Evol Syst. 2005;36:519–39.

    Article  Google Scholar 

  3. Viguier B. Is the morphological disparity of lemur skulls (primates) controlled by phylogeny and/or environmental constraints? Biol J Linn Soc. 2015;76:577–90.

    Article  Google Scholar 

  4. Wainwright PC. Ecomorphology: experimental functional anatomy for ecological problems. Am Zool. 1991;31:680–93.

    Article  Google Scholar 

  5. Arnold SJ. Constraints on phenotypic evolution. Am Nat. 1992;140:S85–S107.

    Article  PubMed  Google Scholar 

  6. Schluter D. Adaptive radiation along genetic lines of least resistance. Evolution. 1996;50:1766–74.

    Article  PubMed  Google Scholar 

  7. Santana SE, Dumont ER. Connecting behaviour and performance: the evolution of biting behaviour and bite performance in bats. J Evol Biol. 2009;22:2131–45.

    Article  CAS  PubMed  Google Scholar 

  8. Calsbeek R, Irschick DJ. The quick and the dead: correlational selection on morphology, performance, and habitat use in island lizards. Evolution. 2010;61:2493–503.

    Article  Google Scholar 

  9. Mcbrayer LD. The relationship between skull morphology, biting performance and foraging mode in Kalahari lacertid lizards. Zool J Linnean Soc. 2004;140:403–16.

    Article  Google Scholar 

  10. Menegaz RA, Sublett SV, Figueroa SD, Hoffman TJ, Ravosa MJ, Aldridge K. Evidence for the influence of diet on cranial form and Robusticity. Anat Rec. 2010;293:630–41.

  11. Kohlsdorf T, Grizante MB, Navas CA, Herrel A. Head shape evolution in Tropidurinae lizards: does locomotion constrain diet? J Evol Biol. 2008;21:781–90.

    Article  CAS  PubMed  Google Scholar 

  12. Maestri R, Patterson BD, Fornel R, Monteiro LR, de Freitas TRO. Diet, bite force and skull morphology in the generalist rodent morphotype. J Evol Biol. 2016;29:2191–204.

    Article  CAS  PubMed  Google Scholar 

  13. Yom-Tov Y, Yom-Tov S, Moller H. Competition, coexistence, and adaptation amongst rodent invaders to Pacific and New Zealand islands. J Biogeogr. 1999;26:947–58.

    Article  Google Scholar 

  14. Cooper N, Jetz W, Freckleton RP. Phylogenetic comparative approaches for studying niche conservatism. J Evol Biol. 2010;23:2529–39.

    Article  CAS  PubMed  Google Scholar 

  15. Freckleton RP, Cooper N, Jetz W. Comparative methods as a statistical fix: the dangers of ignoring an evolutionary model. Am Nat. 2011;178:E10–7.

    Article  PubMed  Google Scholar 

  16. Gray JA, Sherratt E, Hutchinson MN, Jones MEH. Changes in ontogenetic patterns facilitate diversification in skull shape of Australian agamid lizards. BMC Evol Biol. 2019;19:7.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wake DB, Roth G. Evolution and adaptation. (book reviews: complex organismal functions. Integration and evolution in vertebrates.). Science. 1990;247:1350–1.

    Article  Google Scholar 

  18. Marroig G, Cheverud JM. A comparison of phenotypic variation and covariation patterns and the role of phylogeny, ecology, and ontogeny during cranial evolution of new world monkeys. Evolution. 2010;55:2576–600.

    Article  Google Scholar 

  19. Dumont ER, Herrel A, Medellín RA, Vargas-Contreras JA, Santana SE. Built to bite: cranial design and function in the wrinkle-faced bat. Proc Zool Soc London. 2009;279:329–37.

    Article  Google Scholar 

  20. Santana SE, Dumont ER, Davis JL. Mechanics of bite force production and its relationship to diet in bats. Funct Ecol. 2010;24:776–84.

    Article  Google Scholar 

  21. Santana SE, Grosse IR, Dumont ER. Dietary hardness, loading behavior, and the evolution of skull form in bats. Evolution. 2012;66:2587–98.

    Article  PubMed  Google Scholar 

  22. Malhotra A, Thorpe RS. Size and shape variation in a lesser Antillean anole, Anolis oculatus (Sauria: Iguanidae) in relation to habitat. Biol J Linn Soc. 1997;60:53–72.

    Google Scholar 

  23. Herrel A, Podos J, Huber SK, Hendry AP. Bite performance and morphology in a population of Darwin's finches: implications for the evolution of beak shape. Funct Ecol. 2005;19:43–8.

    Article  Google Scholar 

  24. Herrel A, Holanova V. Cranial morphology and bite force in Chamaeleolis lizards—adaptations to molluscivory? Zoology. 2008;111:467–75.

    Article  PubMed  Google Scholar 

  25. Christiansen P, Wroe S. Bite forces and evolutionary adaptations to feeding ecology in carnivores. Ecology. 2007;88:347–58.

    Article  PubMed  Google Scholar 

  26. Wroe S, Milne N. Convergence and remarkably consistent constraint in the evolution of carnivore skull shape. Evolution. 2007;61:1251–60.

    Article  PubMed  Google Scholar 

  27. Anderson RA, Mcbrayer LD, Herrel A. Bite force in vertebrates: opportunities and caveats for use of a nonpareil whole-animal performance measure. Biol J Linn Soc. 2010;93:709–20.

    Article  Google Scholar 

  28. Nogueira MR, Peracchi AL, Monteiro LR. Morphological correlates of bite force and diet in the skull and mandible of Phyllostomid bats. Funct Ecol. 2009;23:715–23.

    Article  Google Scholar 

  29. Wainwright PC. Morphology and ecology: functional basis of feeding constraints in Caribbean Labrid fishes. Ecology. 1988;69:635–45.

    Article  Google Scholar 

  30. Kolmann MA, Huber DR. Scaling of feeding biomechanics in the horn shark Heterodontus francisci : ontogenetic constraints on durophagy. Zoology. 2009;112:351–61.

    Article  PubMed  Google Scholar 

  31. Herrel A, Van Damme R, Vanhooydonck B, De Vree F. The implications of bite performance for diet in two species of lacertid lizards. Can J Zool Rev. 2001;79:662–70.

    Article  Google Scholar 

  32. Erickson GM, Gignac PM, Lappin AK, Vliet KA, Brueggen JD, Webb GJW. A comparative analysis of ontogenetic bite-force scaling among Crocodylia. J Zool. 2014;292:48–55.

    Article  Google Scholar 

  33. Herrel A, Petrochic S, Draud M. Sexual dimorphism, bite force and diet in the diamondback terrapin. J Zool. 2017;304:217–24.

    Article  Google Scholar 

  34. Borges LR, Maestri R, Kubiak BB, Galiano D, Fornel R, Freitas TRO. The role of soil features in shaping the bite force and related skull and mandible morphology in the subterranean rodents of genus Ctenomys (Hystricognathi: Ctenomyidae). J Zool. 2017;301:108–17.

    Article  Google Scholar 

  35. Santana SE, Cheung E. Go big or go fish: morphological specializations in carnivorous bats. Proc Biol Sci. 2016;283:20160615.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Freeman PW. Frugivorous and animalivorous bats (Microchiroptera): dental and cranial adaptations. Biol J Linn Soc. 1988;33:249–72.

    Article  Google Scholar 

  37. Van Cakenberghe V, Herrel A, Aguirre LF: Evolutionary relationships between cranial shape and diet in bats (Mammalia:Chiropetra). In Topics in functional and ecological vertebrate morphology. Edited by Aerts. P, D’Août. K, Herrel. A, Damme. RV. Maastricht: Shaker Publishing; 2002: 205–236.

  38. Aguirre LF, Herrel A, Van Damme R, Matthysen E. Ecomorphological analysis of trophic niche partitioning in a tropical savannah bat community. Proc Biol Sci. 2002;269:1271.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Dumont ER, Davalos LM, Goldberg A, Santana SE, Rex K, Voigt CC. Morphological innovation, diversification and invasion of a new adaptive zone. Proc R Soc B-Biol Sci. 2012;279:1797–805.

    Article  Google Scholar 

  40. Santana SE, Geipel I, Dumont ER, Kalka MB, Kalko EKV. All you can eat: high performance capacity and plasticity in the common big-eared bat, Micronycteris microtis (Chiroptera: Phyllostomidae). PLoS One. 2011;6:e28584.

  41. Norberg UM, Rayner JMV. Ecological morphology and flight in bats (Mammalia; Chiroptera): wing adaptations, flight performance, foraging strategy and echolocation. Philos Trans R Soc Lond. 1987;316:335–427.

    Google Scholar 

  42. Chang Y, Song S, Li A, Zhang Y, Li Z, Xiao Y, Jiang T, Feng J, Lin A. The roles of morphological traits, resource variation and resource partitioning associated with the dietary niche expansion in the fish-eating bat Myotis pilosus. Mol Ecol. 2019;28:2944–54.

    PubMed  Google Scholar 

  43. Ibáñez C, Juste J, García-Mudarra JL, Agirre-Mendi PT. Bat predation on nocturnally migrating birds. Proc Natl Acad Sci U S A. 2001;98:9700–2.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Ibáñez C, Popa-Lisseanu AG, Pastor-Beviá D, García-Mudarra JL, Juste J. Concealed by darkness: interactions between predatory bats and nocturnally migrating songbirds illuminated by DNA sequencing. Mol Ecol. 2016;25:5254–63.

    Article  CAS  PubMed  Google Scholar 

  45. Vehrencamp SL, Stiles FG, Bradbury JW. Observations on the foraging behavior and avian prey of the Neotropical carnivorous bat, Vampyrum spectrum. J Mammal. 1977;58:469.

    Article  Google Scholar 

  46. Han B, Gu X, Liang B, Zhang S. Bird predation and selection of different insects by great evening bats (Ia io). Zool Res. 2007;28:243–8.

    Google Scholar 

  47. Fukui D, Dewa H, Katsuta S, Sato A. Bird predation by the birdlike noctule in Japan. J Mammal. 2013;94:657–61.

    Article  Google Scholar 

  48. Begon M, Harper JL, Townsend CR. Ecology: individuals, populations and communities. Sunderland: Sinauer Associates; 1996.

    Book  Google Scholar 

  49. Vleut I, Galindo-Gonzalez J, de Boer WF, Levy-Tacher SI, Vazquez L-B. Niche differentiation and its relationship with food abundance and vegetation complexity in four Frugivorous bat species in southern Mexico. Biotropica. 2015;47:606–15.

    Article  Google Scholar 

  50. Klingenberg CP, Marugan-Lobon J. Evolutionary Covariation in geometric morphometric data: analyzing integration, modularity, and Allometry in a phylogenetic context. Syst Biol. 2013;62:591–610.

    Article  PubMed  Google Scholar 

  51. Meloro C, Clauss M, Raia P. Ecomorphology of Carnivora challenges convergent evolution. Organ Divers Evol. 2015;15:711–20.

    Article  Google Scholar 

  52. Echarri S, Ercoli MD, Amelia Chemisquy M, Turazzini G, Prevosti FJ. Mandible morphology and diet of the south American extinct metatherian predators (Mammalia, Metatheria, Sparassodonta). Earth Environ Sci Trans R Soc Edinb. 2017;106:277–88.

    Google Scholar 

  53. Dumont ER, O'Neal R. Food hardness and feeding behavior in old world fruit bats (Pteropodidae). J Mammal. 2004;85:8–14.

    Article  Google Scholar 

  54. Ospina-Garces SM, De Luna E, Herrera LG, Flores-Martinez JJ. Cranial shape and diet variation in Myotis species (Chiroptera: Vespertilionidae): testing the relationship between form and function. Acta Chiropterologica. 2016;18:163–80.

    Article  Google Scholar 

  55. Tan L, Sun Y, Liu Q, Peng X, Zhang Q, Liu H, Liang J, Peng Z, He X, Zhang L. Bite force and trophic niche partitioning in Yunan Xishuangbanna bat community. Acta Theriologica Sinica. 2017;37:139–45.

    Google Scholar 

  56. Dumont ER. Feeding mechanisms in bats: variation within the constraints of flight. Integr Comp Biol. 2007;47:137–46.

    Article  PubMed  Google Scholar 

  57. Aguirre LF, Herrel A, Van Damme R, Matthysen E. The implications of food hardness for diet in bats. Funct Ecol. 2003;17:201–12.

    Article  Google Scholar 

  58. Kaliontzopoulou A, Adams DC, van der Meijden A, Perera A, Carretero MA. Relationships between head morphology, bite performance and ecology in two species of Podarcis wall lizards. Evol Ecol. 2012;26:825–45.

    Article  Google Scholar 

  59. Des Roches S, Brinkmeyer MS, Harmon LJ, Rosenblum EB. Ecological release and directional change in White Sands lizard trophic ecomorphology. Evol Ecol. 2015;29:1–16.

    Article  Google Scholar 

  60. Verwaijen D, Van Damme R, Herrel A. Relationships between head size, bite force, prey handling efficiency and diet in two sympatric lacertid lizards. Funct Ecol. 2002;16:842–50.

    Article  Google Scholar 

  61. van der Meij MAA, Bout RG. Scaling of jaw muscle size and maximal bite force in finches. J Exp Biol. 2004;207:2745–53.

    Article  PubMed  Google Scholar 

  62. Meyers JJ, Irschick DJ. Does whole-organism performance constrain resource use? A community test with desert lizards. Biol J Linn Soc. 2015;115:859–68.

    Article  Google Scholar 

  63. Herrel A, Vanhooydonck B, Van Damme R. Omnivory in lacertid lizards: adaptive evolution or constraint? J Evol Biol. 2004;17:974–84.

    Article  CAS  PubMed  Google Scholar 

  64. Marshall CD, Guzman A, Narazaki T, Sato K, Kane EA, Sterba-Boatwright BD. The ontogenetic scaling of bite force and head size in loggerhead sea turtles (Caretta caretta): implications for durophagy in neritic, benthic habitats. J Exp Biol. 2012;215:4166–74.

    Article  PubMed  Google Scholar 

  65. Herrel A, De Grauw E, Lemos-Espinal JA. Head shape and bite performance in xenosaurid lizards. J Exp Zool. 2001;290:101–7.

    Article  CAS  PubMed  Google Scholar 

  66. Herrel A, O’Reilly JC. Ontogenetic scaling of bite force in lizards and turtles. Physiol Biochem Zool. 2006;79:31.

    Article  PubMed  Google Scholar 

  67. Senawi J, Schmieder D, Siemers B, Kingston T. Beyond size – morphological predictors of bite force in a diverse insectivorous bat assemblage from Malaysia. Funct Ecol. 2015;29:1411–20.

    Article  Google Scholar 

  68. Dumont M, Wall CE, Botton-Divet L, Goswami A, Peigne S, Fabre A-C. Do functional demands associated with locomotor habitat, diet, and activity pattern drive skull shape evolution in musteloid carnivorans? Biol J Linn Soc. 2016;117:858–78.

    Article  Google Scholar 

  69. Zelditch ML, Ye J, Mitchell JS, Swiderski DL. Rare ecomorphological convergence on a complex adaptive landscape: body size and diet mediate evolution of jaw shape in squirrels (Sciuridae). Evolution. 2017;71:633–49.

    Article  PubMed  Google Scholar 

  70. McLean BS, Helgen KM, Goodwin HT, Cook JA. Trait-specific processes of convergence and conservatism shape ecomorphological evolution in ground-dwelling squirrels. Evolution. 2018;72:473–89.

    Article  PubMed  Google Scholar 

  71. Ellis JL, Thomason J, Kebreab E, Zubair K, France J. Cranial dimensions and forces of biting in the domestic dog. J Anat. 2009;214:362–73.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Cornette R, Baylac M, Souter T, Herrel A. Does shape co-variation between the skull and the mandible have functional consequences? A 3D approach for a 3D problem. J Anat. 2013;223:329–36.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Meyers JJ, Nishikawa KC, Herrel A. The evolution of bite force in horned lizards: the influence of dietary specialization. J Anat. 2017;232:214.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Greaves WS. Location of the vector of jaw muscle force in mammals. J Morphol. 2000;243:293–9.

    Article  CAS  PubMed  Google Scholar 

  75. Santana SE. Comparative anatomy of bat jaw musculature via diffusible iodine-based contrast-enhanced computed tomography. Anat Rec Adv Integr Anat Evol Biol. 2018;301:267–78.

    Article  CAS  Google Scholar 

  76. Groning F, Jones MEH, Curtis N, Herrel A, O’Higgins P, Evans SE, Fagan MJ. The importance of accurate muscle modelling for biomechanical analyses: a case study with a lizard skull. J R Soc Interface. 2013;10:20130216.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Perry JMG, Hartstone-Rose A, Wall CE. The jaw adductors of Strepsirrhines in relation to body size, diet, and ingested food size. Anat Rec Adv Integr Anat Evol Biol. 2011;294:712–28.

    Article  Google Scholar 

  78. Arbour JH, Curtis AA, Santana SE. Signatures of echolocation and dietary ecology in the adaptive evolution of skull shape in bats. Nat Commun. 2019;10:2036.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Goswami A, Milne N, Wroe S. Biting through constraints: cranial morphology, disparity and convergence across living and fossil carnivorous mammals. Proc Biol Sci. 2011;278:1831–9.

    Article  PubMed  Google Scholar 

  80. Prevosti FJ, Turazzini GF, Ercoli MD, Hingst-Zaher E. Mandible shape in marsupial and placental carnivorous mammals: a morphological comparative study using geometric morphometrics. Zool J Linnean Soc. 2012;164:836–55.

    Article  Google Scholar 

  81. Thabah A, Li G, Wang YN, Liang B, Hu KL, Zhang SY, Jones G. Diet, echolocation calls, and phylogenetic affinities of the great evening bat (Ia io; Vespertilionidae): another carnivorous bat. J Mammal. 2007;88:728–35.

    Article  Google Scholar 

  82. Ma J, Jones G, Zhang S, Shen J, Metzner W, Zhang L, Liang B. Dietary analysis confirms that Rickett's big-footed bat (Myotis ricketti) is a piscivore. J Zool. 2003;261:245–8.

    Article  Google Scholar 

  83. Fiedler J. Prey catching with and without echolocation in the Indian false vampire (Megaderma lyra). Behav Ecol Sociobiol. 1979;6:155–60.

    Article  Google Scholar 

  84. Norberg UM, Fenton MB. Carnivorous bats? Biol J Linn Soc. 1988;33:383–94.

    Article  Google Scholar 

  85. Clare EL, Symondson WOC, Fenton MB. An inordinate fondness for beetles? Variation in seasonal dietary preferences of night-roosting big brown bats (Eptesicus fuscus). Mol Ecol. 2014;23:3633–47.

    Article  PubMed  Google Scholar 

  86. Kunz TH, Anthony ELP. Age estimation and postnatal growth in the bat Myotis lucifugus. J Mammal. 1982;63:23–32.

    Article  Google Scholar 

  87. Racey PA. Ageing and assessment of reproductive status of Pipistrelle bats, Pipistrellus pipistrellus. J Zool. 1974;173:264–71.

    Article  CAS  PubMed  Google Scholar 

  88. Freeman PW, Lemen CA. Measuring bite force in small mammals with a Piezo-resistive sensor. J Mammal. 2008;89:513–7.

    Article  Google Scholar 

  89. Wiley DF, Amenta N, Alcantara DA, Ghosh D. Evolutionary Morphing. In: Vis 05 IEEE Visualization; 2005. p. 431–8.

    Google Scholar 

  90. Adams DC, Otárola-Castillo E. geomorph: an r package for the collection and analysis of geometric morphometric shape data. Methods Ecol Evol. 2013;4:393–9.

    Article  Google Scholar 

  91. Team RC. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2018. URL https://www.R-project.org/.

    Google Scholar 

  92. Lim BK, Engstrom MD, Bickham JW, Patton JC. Molecular phylogeny of New World sheath-tailed bats (Emballonuridae: Diclidurini) based on loci from the four genetic transmission systems in mammals. Biol J Linn Soc. 2010;93:189–209.

    Article  Google Scholar 

  93. Salicini I, Ibáñez C, Juste J. Multilocus phylogeny and species delimitation within the Natterer's bat species complex in the Western Palearctic. Mol Phylogenet Evol. 2011;61:888–98.

    Article  CAS  PubMed  Google Scholar 

  94. Hall T. BioEdit: a user-friendly biological sequence alignment editor and analysis program for windows 95/98/NT. Nucleic Acids Symp Ser. 1999;41:95–8.

    CAS  Google Scholar 

  95. Lanfear R, Frandsen PB, Wright AM, Senfeld T, Calcott B. PartitionFinder 2: new methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Mol Biol Evol. 2017;34:772–3.

    CAS  PubMed  Google Scholar 

  96. Ronquist F, Huelsenbeck JP. MrBayes 3 : Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003;19:1572–4.

    Article  CAS  PubMed  Google Scholar 

  97. Blomberg SP, Garland T, Ives AR. Testing for phylogenetic signal in comparative data: behavioral traits are more labile. Evolution. 2003;57:717–45.

    Article  PubMed  Google Scholar 

  98. Adams DC. A generalized K statistic for estimating phylogenetic signal from shape and other high-dimensional multivariate data. Syst Biol. 2014;63:685–97.

    Article  PubMed  Google Scholar 

  99. Revell LJ. Phylogenetic signal and linear regression on species data. Methods Ecol Evol. 2010;1:319–29.

    Article  Google Scholar 

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Acknowledgements

We would like to thank Guohong Xiao, Boyu Liu, Lei Feng, and Bo Luo for their assistance in the field experiments. We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

Funding

This research was supported by the National Nature Science Foundation of China (Grant Nos. 31922050, 31872680, and 31872681) and the Fund of the Jilin Province Science and Technology Development Project (Grant No. 20180101024JC).

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Author notes

  1. Biye Shi and Yuze Wang contributed equally to this work.

Authors and Affiliations

  1. Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, 2555 Jingyue Street, Changchun, 130117, China

    Biye Shi, Yuze Wang, Lixin Gong, Yang Chang, Tong Liu, Xin Zhao, Aiqing Lin, Jiang Feng & Tinglei Jiang

  2. Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, 2555 Jingyue Street, Changchun, 130117, China

    Biye Shi, Yuze Wang, Lixin Gong, Yang Chang, Tong Liu, Xin Zhao, Aiqing Lin, Jiang Feng & Tinglei Jiang

  3. College of Life Science, Jilin Agricultural University, 2888 Xincheng Street, Changchun, 130118, China

    Jiang Feng

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  1. Biye Shi
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  2. Yuze Wang
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  3. Lixin Gong
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  4. Yang Chang
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  8. Jiang Feng
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  9. Tinglei Jiang
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Contributions

BS and TJ designed the study. BS, LG, YW, YC, XZ, and TL collected the data. BS analyzed the data and wrote the manuscript. TJ, AL, and JF revised the manuscript and provided funding. All of the authors contributed critically to the drafts and gave final approval for publication.

Corresponding authors

Correspondence to Jiang Feng or Tinglei Jiang.

Ethics declarations

Ethics approval and consent to participate

Our work adheres to the National Natural Science Foundation of China for experiments involving vertebrate animals.

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Not applicable.

Competing interests

The authors declare no competing financial interests.

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Supplementary information

Additional file 1 : Figure S1.

Distribution of characteristics of 14 bat species according to the first two principal components (PC1, PC3) scores. (a) Mandibular; (b) Dorsal cranium; (c) Lateral cranium; (d) Ventral cranium.

Additional file 2 : Table S1.

Paired comparison of skull morphological disparity with and without phylogenetic effects.

Additional file 3 : Figure S2.

Box plot showing differences in natural log-transformed head dimensions between four diet categories. (a) Head length; (b) Head breadth; (c) Head height.

Additional file 4 : Figure S3.

Regression of the logarithm of bite force against the body size.

Additional file 5 : Table S2.

Species, sample size (N), diets, and collection locations of bats.

Additional file 6 :

Description of the cranial and mandibular landmarks and semi-landmarks.

Additional file 7 : Table S3.

Information related to genes used in the study.

Additional file 8 : Figure S4.

Phylogenetic relationships among 14 species.

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Shi, B., Wang, Y., Gong, L. et al. Correlation of skull morphology and bite force in a bird-eating bat (Ia io; Vespertilionidae). Front Zool 17, 8 (2020). https://doi.org/10.1186/s12983-020-00354-0

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Keywords

Frontiers in Zoology

ISSN: 1742-9994