bioRxivZoology
Challenges in identifying and interpreting organizational modules in morphology
Abstract
Form is a rich concept that agglutinates information about the proportions and topological arrangement of body parts. Modularity is readily observable in both the variation of proportions (variational modules) and the organization of topology (organizational modules). The study of variational modularity and of organizational modularity faces similar challenges regarding the identification of meaningful modules and the validation of generative processes; however, most studies in morphology focus solely on variational modularity, while organizational modularity is much less understood. A possible cause for this bias is the successful development in the last twenty years of morphometrics, and specially geometric morphometrics, to study patters of variation. This contrasts with the lack of a similar mathematical framework to deal with patterns of organization. Recently, a new mathematical framework has been proposed to study the organization of anatomical parts using tools from Network Theory, so-called anatomical network analysis. This essay explores the potential use of this new framework - and the challenges it faces in identifying and validating biologically meaningful modules in morphological systems -, by providing an example of a complete analysis of modularity of the human skull and upper limb. Finally, we suggest further directions of research that may bridge the gap between variational and organizational modularity studies.
- organism: human
- research focus: development & morphogenesis
- research focus: cell type annotation
- research focus: clustering
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Systematic Review of the Research on Morphological Modularity
Borja Esteve-Altava·bioRxiv·Sep 21, 2015
- A Node-based Informed Modularity Strategy to Identify Organizational Modules in Anatomical Networks
B. Esteve-Altava·bioRxiv·Jul 6, 2020
- Modularity and Morphometrics: Error Rates in Hypothesis Testing
Guilherme Garcia, Felipe Bandoni de Oliveira, Gabriel Marroig·bioRxiv·Nov 7, 2015
- Correlated evolution of beak and braincase morphology is present only in select bird clades
- Integration and modularity in Procrustes shape data: is there a risk of spurious results?
A. Cardini·bioRxiv·Jul 19, 2018
- Multi-modal and multi-subject modular organization of human brain networks
Maria Grazia Puxeddu, Joshua Faskowitz, … Richard F. Betzel·NeuroImagePeer-reviewed·Oct 17, 2022