Intracranial and hierarchical perspective on dietary plasticity in mammals☆
Introduction
Bone is a dynamic, hierarchically organized tissue capable of sensing and responding to mechanical loads in order to produce a structure better equipped to withstand routine loads. This capability implies that bone is a plastic structure whereby altered external conditions can initiate an osteogenic cascade that modulates anatomical structure. Generally, these environmentally induced, postnatal responses reflect the functional or adaptive nature of an element or system of interest (Gotthard and Nylin, 1995, Agrawal, 2001, West-Eberhard, 2003). By fine-tuning the link between form and behavior, an organism can achieve a phenotype better matched to its surroundings. Adaptive plasticity in skeletal form is related to functional adaptation, or the dynamic coordinated series of cellular, tissue, and molecular processes of skeletal modeling and remodeling that maintain a sufficient safety factor for routine peak and cyclical loads (Bouvier and Hylander, 1981, Bouvier and Hylander, 1996a, Bouvier and Hylander, 1996b, Lanyon and Rubin, 1985, Biewener, 1993). Given increasing evidence that safety factors vary across the vertebrate skeleton (Hylander et al., 1991a, Hylander et al., 1991b, Ravosa et al., 2000a, Ravosa et al., 2010a), it is particularly important to evaluate if patterns of functional adaptation also differ regionally.
Among mammals, the plasticity of masticatory elements to altered loading conditions has been well studied in lagomorphs, rodents, carnivorans, suids, hyracoids, and primates (Beecher and Corruccini, 1981, Bouvier and Hylander, 1981, Bouvier and Hylander, 1982, Bouvier and Hylander, 1984, Bouvier and Hylander, 1996a, Bouvier and Hylander, 1996b, Beecher et al., 1983, Bouvier, 1988, Yamada and Kimmel, 1991, Ciochon et al., 1997, He and Kiliaridis, 2003, Lieberman et al., 2004, Larsson et al., 2005, Nicholson et al., 2006, Ravosa et al., 2007, Ravosa et al., 2008a, Ravosa et al., 2008b, Ravosa et al., 2010b, Ravosa et al., 2016, Menegaz et al., 2009, Menegaz et al., 2010, Scott et al., 2014a, Scott et al., 2014b, Menegaz and Ravosa, 2017). These prior studies, though limited primarily to the feeding apparatus, have generally demonstrated a significant response to elevated loading conditions in various skeletal parameters such as external dimensions, cortical bone thickness, cross-sectional area, and tissue mineral density. Limited research has been conducted on the plasticity of sites less directly involved with oral processing, though gross proportions of the neurocranium and calvarial cross-sectional thickness have been investigated in lagomorphs (Menegaz et al., 2010, Franks et al., 2016), with results suggesting a lack of a significant plastic response.
As stated above, previous studies of diet-induced plasticity were largely focused on a single masticatory element or functional region or, to a lesser degree, the hard- and soft-tissue responses that maintain the integrity of composite structures such as the mandibular symphysis or temporomandibular joint (Ravosa et al., 2007, Ravosa et al., 2008a, Ravosa et al., 2016, Ravosa and Kane, 2017). As such, a comprehensive regional analysis of adaptive plasticity of hard tissues across multiple craniomandibular sites in the same specimens is lacking. This is of critical importance as within-element variation in limb responses (Hsieh et al., 2001, Hamrick et al., 2006) suggests that similar regional variation may exist in the skull. It is also becoming increasingly evident that varying skeletal parameters respond differently to a given loading pattern (Kohn et al., 2009, Wallace et al., 2009, Scott et al., 2014a, Ravosa et al., 2015b, Ravosa et al., 2016) and that the hierarchical nature of bone allows it to respond adaptively to mechanical stimuli at multiple organizational levels. To this end, the performance of skeletal elements is dictated by a number of factors including bone quality, bone quantity, and bone distribution and there are multiple mechanisms for increasing bone strength. Thus, it is possible that a functional signal may be differentially represented at one level of organization vs. another level, potentially posing an issue for accurate behavioral and functional characterizations. For example, in a prior study of the rabbit mandibular symphysis, it was demonstrated that an internal dimension, cortical bone thickness, exhibited a greater disparity vs. gross external dimensions (Ravosa et al., 2007, Ravosa et al., 2008a). Furthermore, the disparity in cortical bone biomineralization between rabbit dietary groups was shown to be lower than that for cortical bone thickness (Ravosa et al., 2007, Ravosa et al., 2008b). These findings are of critical importance because gross skeletal dimensions are more commonly used to track diet-related variation in morphological studies (e.g., Ravosa, 1991, Ravosa, 1996, Ravosa and Hogue, 2004, Wright, 2005, Friscia et al., 2007) and it is unlikely that the singular use of external dimensions will furnish the requisite evidence for meaningful paleobiological reconstructions (Ravosa et al., 2016). Additionally, it further underscores the complexity of bony organization and adaptation.
Currently, there is a significant gap in our understanding of the effects of varying diets on regional and hierarchical variation in hard tissues of the developing skull and feeding apparatus. To complement prior analyses, we report the results of a long-term diet manipulation experiment conducted using an animal model (white rabbit) that examined adaptive plasticity at various levels of bony organization at multiple bony sites across the skull vis-à-vis variation in food mechanical properties. More specifically, we probed the relationship between masticatory loading and morphological plasticity in a number of representative bony regions in order to ascertain the effect of elevated loading on the overall craniomandibular unit. Moreover, to investigate how altered loads differentially affect varying levels of bony organization, each region was assessed on a macro- and microscale to document the dynamic cascade of coordinated adaptive events.
We test the hypothesis that cortical bone formation and bone quality in the developing skull adapt postnatally to increased masticatory loading and the resulting elevated stresses via correlated osteogenic processes. Given that maxillomandibular bone strain levels are higher than elsewhere along the mammalian skull during routine feeding behaviors (e.g., Hylander et al., 1991a, Hylander et al., 1991b, Ravosa et al., 2006, Ravosa et al., 2010a) and that neurocranial osteoblasts exhibit reduced mechanosensitivity vs. elsewhere in the skeleton (Rawlinson et al., 1995, Ravosa et al., 2015b), it is first predicted that masticatory regions will exhibit a more pronounced response to elevated loading, indicating the presence of regional variation in diet-induced plasticity. Second, it is predicted that long-term increased masticatory stresses will result in skeletal elements of the feeding complex with more robust proportions and increased bone quality. Hard tissues in the masticatory region of rabbits raised on a more challenging diet should develop increased cortical bone thicknesses and elevated biomineralization. In contrast, non-masticatory regions (i.e., the neurocranium) should display a minimal plasticity response at both levels of analysis given that these regions experience lower strains during oral processing.
Section snippets
Animal model and experimental design
To evaluate the long-term plasticity of cranial elements vis-à-vis altered loading levels, 20 genetically similar male New Zealand white rabbits (Oryctolagus cuniculus) were obtained at weaning (five weeks old) from Harlan Laboratories and housed at the University of Notre Dame’s animal care facility, Freimann Life Science Center. Both institutions are USDA-licensed and AAALAC-accredited and subject to periodic inspections. Day-to-day care of the animals, including periodic health evaluations,
Within-group differences
For all variables within both dietary groups, there were significant mean differences between week 0 and week 24 (Table 2, Table 3), indicating that cortical thicknesses increased significantly throughout the first half of the experimental period. Between week 24 and week 48, however, there were no additional changes in cortical thicknesses.
Between-group differences
At the onset of dietary manipulation, there were no differences between groups, indicating that cohorts were similar prior to the experimental period.
Within-group trends
Rabbits in both groups experienced significant cortical thickness increases in all of the masticatory variables between the onset of dietary manipulation and halfway through the experimental period (24 weeks). These macroscale increases were accompanied by microscale decreases in tissue mineral density except at the three symphyseal sites, which experienced an increase in biomineralization. Greater mineralization at the symphysis is consistent with previous findings that demonstrated elevated
Conclusion
In summary, this study presents an examination of the effects of varying diets on regional and hierarchical variation in hard tissues of the developing skull and feeding apparatus. The data presented illustrate diet-related differences in both cortical bone thicknesses and the degree of mineralization, with differences found between masticatory and non-masticatory regions as well as within regions. However, the functional signals at these two levels of bony organization did not mirror one
Acknowledgments
Olga Panagiotopoulou and Pepe Iriarte-Diaz kindly invited us to contribute to the Special Issue on “Determinants of mammalian feeding system design”. We also thank the Notre Dame Integrated Imaging Facility and the staff of the Freimann Life Science Center. Funding was obtained from the Wenner-Gren and Leakey Foundations to E.M.F. and the NSF to M.J.R. (BCS-1029149/1214767).
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2017, ZoologyCitation Excerpt :In rabbits, considerable in vivo data exist regarding jaw-adductor muscle activity; jaw-kinematic and jaw-loading patterns; oral development; intracortical remodeling; and diet-related feeding behaviors (Weijs and de Jongh, 1977; Weijs and Dantuma, 1981; Weijs et al., 1987, 1989; Langenbach et al., 1991, 1992, 2001; Hirano et al., 2000; Langenbach and van Eijden, 2001; Ravosa et al., 2015). Much like a wide range of mammal species (see Section 1), rabbits exhibit postweaning plasticity of masticatory soft and hard tissues in response to diet-induced variation in jaw-loading patterns (Taylor et al., 2006; Ravosa et al., 2007, 2008, 2010a, 2015, 2016; Menegaz et al., 2009, 2010; Jašarević et al., 2010; Scott et al, 2014a,b; Franks et al., 2016, 2017). Similar to herbivores and omnivores, rabbits have a deep face and a high jaw joint capable of rotation and translation (Weijs and Dantuma, 1981; Crompton et al., 2006).
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2017, ZoologyCitation Excerpt :The material properties of food items are understood to influence jaw adductor activity, jaw kinematics, and feeding behaviors (Crompton, 1986; Weijs et al., 1989; Hylander et al., 1992, 2000, 2005). Increased jaw muscle activity associated with mechanically resistant food items results in elevated peak and cyclical strains in the craniomandibular skeleton (Weijs and de Jongh, 1977; Hylander, 1979, 1988, 1992; Hylander et al., 1992; Herring and Teng, 2000; Ravosa et al., 2007, 2008b, 2015) and, in turn, differential growth and remodeling of hard and soft tissues in the cranium and mandible (Beecher and Corruccini, 1981; Bouvier and Hylander, 1981, 1996; Beecher et al., 1983; Bouvier and Zimny, 1987; Bouvier, 1988; Yamada and Kimmel, 1991; Kiliaridis et al., 1996; Nicholson et al., 2006; Ravosa et al., 2007, 2008b, 2010; Menegaz et al., 2009, 2010; Scott et al., 2014a; Franks et al., 2016, 2017; Ravosa et al., 2016). A common operating condition among most plasticity studies is that the function of interest is held static.
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This article is part of a special issue entitled Determinants of Mammalian Feeding System Design.