Philosophical Transactions of the Royal Society B Biological Sciences· 2014Q1
Studying morphological integration and modularity at multiple levels: concepts and analysis
- 381citations
- Q1SCImago
- 2014year
Short summary
Geometric morphometrics can characterize morphological variation and its integration/modularity across distinct levels (genetic, plasticity, asymmetry, evolution), offering new avenues for understanding underlying biological processes.
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Key points
- Integration and modularity exist at multiple levels of biological variation beyond just individuals within populations.
- Distinct sources of variation (genetic, plasticity, asymmetry, evolution) can impart integration or modularity on morphological traits.
- Geometric morphometrics provides detailed characterization of morphological variation and its anatomical context.
- Comparing integration/modularity patterns across levels is a new field with many unanswered questions but offers significant unexplored potential.
AI-generated from the title and abstract; the full text is not read.
Abstract
Although most studies on integration and modularity have focused on variation among individuals within populations or species, this is not the only level of variation for which integration and modularity exist. Multiple levels of biological variation originate from distinct sources: genetic variation, phenotypic plasticity resulting from environmental heterogeneity, fluctuating asymmetry from random developmental variation and, at the interpopulation or interspecific levels, evolutionary change. The processes that produce variation at all these levels can impart integration or modularity on the covariance structure among morphological traits. In turn, studies of the patterns of integration and modularity can inform about the underlying processes. In particular, the methods of geometric morphometrics offer many advantages for such studies because they can characterize the patterns of morphological variation in great detail and maintain the anatomical context of the structures under study. This paper reviews biological concepts and analytical methods for characterizing patterns of variation and for comparing across levels. Because research comparing patterns across level has only just begun, there are relatively few results, generalizations are difficult and many biological and statistical questions remain unanswered. Nevertheless, it is clear that research using this approach can take advantage of an abundance of new possibilities that are so far largely unexplored.
The authors' abstract, as published at the source. Philosophical Transactions of the Royal Society B Biological Sciences, 2014 · DOI ↗
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Field: Geometry and Topology
Geometry and TopologyMathematics