Morphological Integration and Developmental Modularity

By C. Klingenberg. 2008

777 citations recorded by the source corpus.

Subfields: Geometry and Topology, Plant Science

View Paper: https://www.semanticscholar.org/paper/ff24ee81285b14d7834f7bc508e9896939e78f71

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geometry and Topology

1. C. Klingenberg
2. Dean C. Adams
3. Dean C. Adams
4. Kazuo H. Takahashi
5. H. Tatsuta
6. Y. Sakamaki
7. F. James Rohlf
8. Dennis E. Slice

In Plant Science

1. Dean C. Adams
2. Kazuo H. Takahashi
3. Dean C. Adams
4. C. Klingenberg
5. H. Tatsuta
6. Michael Kleyer
7. Y. Sakamaki

Citations in the corpus

• Evaluating modularity in morphometric data: challenges with the RV coefficient and a new test measure (2016, positive): “…accompanied by changes in other traits that are affected by common mechanisms such as functional activities, genetic linkages, pleiotropy, or common developmental pathways (Wagner 1984a; Cheverud 1996; Bookstein et al. 2003; Mitteroecker & Bookstein 2007; Klingenberg 2008; Goswami & Polly 2010).”
• Analyzing Fluctuating Asymmetry with Geometric Morphometrics: Concepts, Methods, and Applications (2015, background): “Modularity [418–421] is related to morphological integration: in a modular structure, the modules are integrated internally but relatively independent of one another, so that integration is strong within modules but weaker between them [170,179].”
• Evolution and development of shape: integrating quantitative approaches (2010, background): “Because of their role in transmitting genetic effects, epigenetic interactions are crucial for understanding how genetic variation is expressed and integrated among trait”
• Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants (2018, background): “By definition, trait correlations within leading dimensions should be stronger than between leading dimensions (Klingenberg, 2008).”
• MorphoJ: an integrated software package for geometric morphometrics (2011, methodology): “Multivariate regression analysis can be used for assessing allometry or other relationships between variables, such as shape changes over time, which can be studied by regressing shape on size or on time (Monteiro 1999; Drake & Klingenberg 2008).”
• Geometric morphometrics in entomology: Basics and applications (2018, background): “For readers who are interested in these crossover fields, it is recommended to read some good reviews (e.g. Klingenberg 2008, 2010), plus recent enthusiastic papers.”
• A field comes of age: geometric morphometrics in the 21 st century (2013, background): “A related approach is to estimate shape scores from the regression of shape on size, and plot these against size (Drake and Klingenberg, 2008).”
• Visualizations in geometric morphometrics: How to read and how to make graphs showing shape changes (2013, methodology): “…of regression coefficients that indicates the change of shape per unit of change in the independent variable (e.g., the shape change for an increase of size by one unit or per unit of time, etc.; Monteiro 1999; Drake and Klingenberg 2008; RodríguezMendoza et al. 2011; Weisensee and Jantz 2011).”
• DIETARY HARDNESS, LOADING BEHAVIOR, AND THE EVOLUTION OF SKULL FORM IN BATS (2012, background): “The vertebrate skull is a classic example of a complex anatomical system that is composed of numerous highly integrated units (Cheverud 1982; Klingenberg 2008).”