Chapter 4 - Allometry, evolution and development of neocortex size in mammals
Introduction
One of the defining features of mammalian evolution is the extraordinary variation in overall brain size. Explaining the patterns and processes that characterize this variation has been a major driving force of brain evolutionary studies. Whereas the study of pattern is concerned with how variation is ordered across species, the study of process investigates the mechanisms that generate and maintain this order.
One of the central questions in the study of the pattern of mammalian brain evolution is whether certain brain regions can be identified that vary in size more than others (Passingham, 1975), and whether such highly variable regions explain variation in overall brain size (Smaers and Soligo, 2013, Smaers and Vanier, 2019). The neocortex has received particular attention in this regard (Barton and Harvey, 2000). Mammals have evolved a unique set of neocortical features, including six lamina, radial patterning of axonal connections across the lamina, and a clear differentiation between cortical gray matter and axonal white matter (Striedter, 2005). These features are thought to have allowed the so-called scaling up of the mammalian brain. Indeed, when considering the amount of change that has occurred among gross-anatomical brain regions, the neocortex does vary in size more than other regions (Finlay and Darlington, 1995).
However, fundamental questions as to which processes underpin the observed patterns of neocortical evolution remain. The main discussion here mirrors a longstanding discussion in evolutionary biology about the relative influence of selective pressure and biological constraints on evolutionary change. Whereas those emphasizing adaptation in response to directional selective pressures propose that traits are primarily determined by natural selection (Beldade et al., 2002a, Beldade et al., 2002b; Frankino et al., 2005, Frankino et al., 2007), those that emphasize the importance of biological constraints propose that the type and amount of trait change that can be accomplished over evolutionary time is largely determined by genetic and developmental mechanisms (Alberch, 1982; Brakefield, 2006; Jernvall, 2002; Maynard Smith et al., 1985; Schluter, 1996; Stern, 2000). In the context of brain evolution these assumptions translate into suggestions that variation in brain organization either changes flexibly according to behavioral selective pressures (Barton and Harvey, 2000; termed the “mosaic” hypothesis of brain evolution), or that variation in brain organization is restricted to what is possible given a conserved neurogenetic schedule (Yopak et al., 2010 Finlay and Darlington, 1995; termed the “concerted” hypothesis of brain evolution).
Here, we aim to contribute to this discussion by better describing patterns of neocortex size evolution and exploring whether these patterns may have resulted from comparative shifts in the neurodevelopmental schedule. In doing so, we increase both the analytical and empirical resolution compared to previous research. Whereas previous research has focused exclusively on variation in relative neocortex size (differences in intercept) (Barton and Harvey, 2000) or the interpretation of monotonic allometric differences among brain regions (Clancy et al., 2001), we extend our analysis to investigate shifts in covariation (differences in slope) and strength of allometric integration (differences in residual variation). We further increase comparative data resolution compared to previous research by investigating 350 species representing 11 mammalian orders.
Section snippets
Allometric patterning in brain region evolution
A standard approach to quantifying evolution of brain region sizes has been the use of the allometric framework (Passingham, 1973). Allometry is the study of how biological characteristics change with size (Shingleton, 2010). Applied to the study of brain region evolution, allometric analyses quantify how the size of individual brain regions change relative to changes in overall brain size or relative to the size of another brain region. In general, allometric analysis quantifies three aspects
Relating allometric patterning to developmental processes
Huxley (1932) demonstrated that if two traits grow at different rates under a common growth parameter, phenotypic changes in the two traits follow a power law. Allometric relationships often fit very precisely and vary little among closely related species (Gould, 1966), leading to the notion that allometry may be largely monotonic and indicative of a constraint imposed by the developmental architecture in the production of phenotypes (Alberch, 1982; Brakefield, 2006; Maynard Smith et al., 1985
Investigating allometry with increased analytical resolution
To investigate all aspects of the evolutionary allometric pattern of neocortex size, we collated data from the literature on neocortex size and brainstem size for 350 mammalian species (Baron et al., 1996; Frahm et al., 1982; Pirlot, 1981; Pirlot and Desperoni, 1987; Reep et al., 2007; Stephan et al., 1981). As phylogenetic tree we use the consensus tree derived by Smaers et al. (2018) from the mammalian supertree compiled by Faurby and Svenning (2015). Because we are primarily interested in
The allometric pattern of neocortical region size evolution
Although a comprehensive investigation of the allometric patterns that characterize neocortex evolution in mammals is essential to understanding mammalian brain evolution, such analysis inevitably masks patterns of evolution of neocortical regions. The mammalian neocortex consists of a plethora of distinct regions that are associated with different functions and are underpinned by different developmental trajectories (Giedd et al., 1999; Kaas, 2006). Although correlating neocortex size to
Conclusion: Implications for the principles of brain evolution
The evolution of the neocortex is the hallmark of mammalian brain evolution and is commonly understood to be the primary factor in explaining comparative variation in mammalian brain size. Previous studies on neocortex size evolution have, however, erred by not considering putative changes among groups of species in the covariation between neocortex size and other brain regions. The putative occurrence of such shifts would have fundamental implications for explaining comparative variation in
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