Abstract
This chapter introduces the reader to anatomical network analysis (AnNA): a conceptual framework for the tolopological analysis of organismal form. AnNA focuses on the structural relations among anatomical parts, which allows for an evaluation of morphological organization in comparative analyses for both development and evolution. The nodes of the network represent anatomical elements, and the links that connect them represent structural relations or interactions among these elements. Network theory provides the methods to analyze these anatomical network models. The first and second sections present the historical and conceptual background of this framework. The third section explains the construction of anatomical networks and some of the basic parameters we can use to characterize the topology of these models and infer their morphological organization. The fourth section summarizes the interpretation of network parameters in terms of morphological complexity, hierarchy, integration, and modularity in the context of morphological evo-devo. The fifth section introduces the classical construction rules to build null models for networks and an example of the use of network null models in morphology. Finally, in the sixth section, we have explored some of the limits of AnNA.
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References
Albert R, Barabási A-L (2002) Statistical mechanics of complex networks. Rev Mod Phys 74:47
Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286:509–512
Butts CT (2009) Revisiting the foundations of network analysis. Science 325:414–416
Chernoff B, Magwene PM (1999) Afterword. In: Olson EC, Miller PL (eds) Morphological integration. University of Chicago Press, Chicago, pp 319–353
Dorogovtsev R, Mendes JFF (2003) Evolution of networks: from biological networks to the internet and WWW. Oxford University Press, Oxford
Dos Santos DA, Fratani J, Ponssa ML, Abdala V (2017) Network architecture associated with the highly specialized hindlimb of frogs. PLoS ONE 12(5):e0177819
Erdös P, Rényi A (1959) On random graphs. Publ Math Debr 6:290–297
Esteve-Altava B (2017) Challenges in identifying and interpreting organizational modules in morphology. J Morphol 278:960–974
Esteve-Altava B, Rasskin-Gutman D (2014a) Beyond the functional matrix hypothesis: a network null model of human skull growth for the formation of bone articulations. J Anat 225:306–316
Esteve-Altava B, Rasskin-Gutman D (2014b) Theoretical morphology of tetrapod skull networks. C R Palevol 13:41–50
Esteve-Altava B, Boughner JC, Diogo R, Villmoare BA, Rasskin-Gutman D (2015a) Anatomical network analysis shows decoupling of modular lability and complexity in the evolution of the primate skull. PLoS One 10(5):e0127653
Esteve-Altava B, Diogo R, Smith C, Boughner JC, Rasskin-Gutman D (2015b) Anatomical networks reveal the musculoskeletal modularity of the human head. Sci Rep 5:8298. https://doi.org/10.1038/srep08298
Fortunato S (2010) Community detection in graphs. Phys Rep 486:75–174
Fox-Keller E (2005) Revisiting scale-free networks. BioEssays 27:1060–1068
Gabriel KR, Sokal RR (1969) A new statistical approach to geographic variation analysis. Syst Zool 18:259
Mayr E (1982) The growth of biological thought. Harvard University Press, Cambridge
McShea DW (1991) Complexity and evolution: what everybody knows. Biol Philos 6:303–324
Moss ML (1968) A theoretical analysis of the functional matrix. Acta Biotheor 18:195–202
Newman M (2010) Networks: an introduction. Oxford University Press, Oxford
Newman M, Barabási A-L, Watts DJ (2006) The structure and dynamics of networks. Princeton University Press, Princeton
Olson EC, Miller RL (1958) Morphological integration. The University of Chicago Press, Chicago
Rasskin-Gutman D (2003) Boundary constraints for the emergence of form. In: Müller G, Newman S (eds) Origination of organismal form. MIT Press, Cambridge, pp 305–322
Rasskin-Gutman D, Buscalioni AD (2001) Theoretical morphology of the Archosaur (Reptilia: Diapsida) pelvic girdle. Paleobiology 27:59–78
Rasskin-Gutman D, Esteve-Altava B (2014) Connecting the dots: anatomical network analysis in morphological Evo-Devo. Biol Theory 9:178–193
Riedl R (1978) Order in living organisms: a systems analysis of evolution. Wiley, New York
Simon HA (1962) The architecture of complexity. Proc Am Philos Soc 106:467–482
Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393:440–442
Woodger JH (1945) On biological transformations. In: Gross WEL, Medawar PB (eds) Essays on growth and form presented to D’A. W. Thompson. Oxford University Press, Oxford, pp 95–120
Acknowledgments
BE-A is funded by a European Union’s Horizon 2020 Marie Skłodowska-Curie Grant No. 654155. DRG is funded by MINECO-FEDER BFU2015-70927-R.
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Esteve-Altava, B., Rasskin-Gutman, D. (2018). Anatomical Network Analysis in Evo-Devo. In: Nuno de la Rosa, L., Müller, G. (eds) Evolutionary Developmental Biology. Springer, Cham. https://doi.org/10.1007/978-3-319-33038-9_57-1
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DOI: https://doi.org/10.1007/978-3-319-33038-9_57-1
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