TY - JOUR
T1 - Divergent vertebral formulae shape the evolution of axial complexity in mammals
AU - Li, Yimeng
AU - Brinkworth, Andrew
AU - Green, Emily
AU - Oyston, Jack
AU - Wills, Matthew
AU - Ruta, Marcello
N1 - Funding Information:
We are grateful to the John Templeton Foundation (grant no. 61408 to M.W. and M.R.), BBSRC (grant nos BB/K015702/1 and BB/K006754/1 to M.W.) and NERC (studentship 2276912 to A.B. and M.W.) for supporting this research. For the purpose of Open Access, the authors have applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. We thank R. Benson (University of Oxford) for providing insightful remarks on an earlier draft of this work and for allowing us to use the three-dimensional reconstructions of the vertebral columns in Fig. . Such reconstructions were skilfully rendered from computerized tomography scans by E. Griffiths (University of Oxford). S. Wang (Swarthmore College) kindly supplied a copy of his skewness test. We extend our gratitude to L. Barber for her stalwart efforts in locating important literature sources and O. Wills for her beautiful rendition of Fig. . We also thank T. Michael Keesey for obtaining the icons in Fig. from PhyloPic .
Data availability:
The data that support the findings of this study are available in Figshare and accessible at https://doi.org/10.6084/m9.figshare.21622284. Supplementary Tables 1–5 include outputs from the following analyses: Poisson regressions of counts versus groups; phylogenetic analyses of variance for the complexity indices; phylogenetically corrected correlations between various categories of vertebral counts and complexity indices; robust linear regressions between ancestral complexity values and descendant–ancestor differences, as well as between node ages and ancestral values; and subclade tests. Supplementary Data 1 lists taxa, their presacral counts and their complexity indices. It also reports univariate statistics and histogram distributions for the thoracic and lumbar counts alongside probability density distributions for various complexity indices. The literature sources on vertebral formulae are listed in Supplementary Data 2. The time-scaled phylogeny is available in Supplementary Data 3 as an object of class ‘phylo’. R code is reproduced in Supplementary Data 4 and is accompanied by templates for running analyses on individual data files extracted from Supplementary Data 1. Such data files are combined as separate tabs within individual spreadsheets and are available as Source Data for Figs. 3–6 and for Extended Data Figs. 1–5. These Source Data can be redeployed for building Supplementary Figs 1-24
PY - 2023/3/31
Y1 - 2023/3/31
N2 - Complexity, defined as the number of parts and their degree of differentiation, is a poorly explored aspect of macroevolutionary dynamics. The maximum anatomical complexity of organisms has undoubtedly increased through evolutionary time. However, it is unclear whether this increase is a purely diffusive process or whether it is at least partly driven, occurring in parallel in most or many lineages and with increases in the minima as well as the means. Highly differentiated and serially repeated structures, such as vertebrae, are useful systems with which to investigate these patterns. We focus on the serial differentiation of the vertebral column in 1,136 extant mammal species, using two indices that quantify complexity as the numerical richness and proportional distribution of vertebrae across presacral regions and a third expressing the ratio between thoracic and lumbar vertebrae. We address three questions. First, we ask whether the distribution of complexity values in major mammal groups is similar or whether clades have specific signatures associated with their ecology. Second, we ask whether changes in complexity throughout the phylogeny are biased towards increases and whether there is evidence of driven trends. Third, we ask whether evolutionary shifts in complexity depart from a uniform Brownian motion model. Vertebral counts, but not complexity indices, differ significantly between major groups and exhibit greater within-group variation than recognized hitherto. We find strong evidence of a trend towards increasing complexity, where higher values propagate further increases in descendant lineages. Several increases are inferred to have coincided with major ecological or environmental shifts. We find support for multiple-rate models of evolution for all complexity metrics, suggesting that increases in complexity occurred in stepwise shifts, with evidence for widespread episodes of recent rapid divergence. Different subclades evolve more complex vertebral columns in different configurations and probably under different selective pressures and constraints, with widespread convergence on the same formulae. Further work should therefore focus on the ecological relevance of differences in complexity and a more detailed understanding of historical patterns.
AB - Complexity, defined as the number of parts and their degree of differentiation, is a poorly explored aspect of macroevolutionary dynamics. The maximum anatomical complexity of organisms has undoubtedly increased through evolutionary time. However, it is unclear whether this increase is a purely diffusive process or whether it is at least partly driven, occurring in parallel in most or many lineages and with increases in the minima as well as the means. Highly differentiated and serially repeated structures, such as vertebrae, are useful systems with which to investigate these patterns. We focus on the serial differentiation of the vertebral column in 1,136 extant mammal species, using two indices that quantify complexity as the numerical richness and proportional distribution of vertebrae across presacral regions and a third expressing the ratio between thoracic and lumbar vertebrae. We address three questions. First, we ask whether the distribution of complexity values in major mammal groups is similar or whether clades have specific signatures associated with their ecology. Second, we ask whether changes in complexity throughout the phylogeny are biased towards increases and whether there is evidence of driven trends. Third, we ask whether evolutionary shifts in complexity depart from a uniform Brownian motion model. Vertebral counts, but not complexity indices, differ significantly between major groups and exhibit greater within-group variation than recognized hitherto. We find strong evidence of a trend towards increasing complexity, where higher values propagate further increases in descendant lineages. Several increases are inferred to have coincided with major ecological or environmental shifts. We find support for multiple-rate models of evolution for all complexity metrics, suggesting that increases in complexity occurred in stepwise shifts, with evidence for widespread episodes of recent rapid divergence. Different subclades evolve more complex vertebral columns in different configurations and probably under different selective pressures and constraints, with widespread convergence on the same formulae. Further work should therefore focus on the ecological relevance of differences in complexity and a more detailed understanding of historical patterns.
UR - http://www.scopus.com/inward/record.url?scp=85149391299&partnerID=8YFLogxK
U2 - 10.1038/s41559-023-01982-5
DO - 10.1038/s41559-023-01982-5
M3 - Article
C2 - 36878987
AN - SCOPUS:85149391299
SN - 2397-334X
VL - 7
SP - 367
EP - 381
JO - Nature Ecology & Evolution
JF - Nature Ecology & Evolution
IS - 3
ER -