The road to modularity

By Günter P. Wagner, M. Pavličev, James M. Cheverud. Nature reviews genetics, 2007

1,025 citations recorded by the source corpus.

Subfields: Genetics, Geometry and Topology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/00358e47e3629c4be433281e1a1b19ec6d8fe712

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Citations in the corpus

The Evolution of Modularity in the Mammalian Skull II: Evolutionary Consequences (2009, background): “This correlated evolution occurs due to the integration of traits within modules, as well as due to the integration among different modules, a feature that characterizes complex hierarchical systems and organisms (Wagner et al. 2008).”
Evaluating modularity in morphometric data: challenges with the RV coefficient and a new test measure (2016, neutral): “In these cases, modularity is displayed, where integration is found within subsets of traits modules), but where the covariation between those modules is relatively weaker (Cheverud 1982; Wagner 1996; Wagner & Altenberg 1996; Wagner, Pavlicev & Cheverud 2007; Klingenberg 2014).”
The problem of pattern and scale in ecology: what have we learned in 20 years? (2013, background): “This has major consequences for the cellular and developmental machinery of organisms (Wagner et al. 2007), but also for the stability of ecological systems (Ives & Carpenter 2007).”
The evolution of gene duplications: classifying and distinguishing between models (2010, background): “The duplication of genes may form a cornerstone in the evolution of biological complexit”
The Evolution of Modularity in the Mammalian Skull I: Morphological Integration Patterns and Magnitudes (2009, background): “... same functional/developmental complex ensures the coordinated evolution of different parts of the organism while maintaining its cohesion/functionality (Klingenberg 2004); (2) the low (or absent) correlation among traits from different functional/developmental complexes permits them to evolve in”
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills (2015, background): “Modular networks are those that have many clusters (modules) of highly connected neurons that are only sparsely connected to neurons in other modules [19, 22, 23].”
Network-based global inference of human disease genes (2008, background): “…by various reports (Brunner and van Driel, 2004; Gandhi et al , 2006; Lim et al , 2006; van Driel et al , 2006; Goh et al , 2007; Lage et al , 2007; Wagner et al , 2007; Wood et al , 2007), suggests that causative genes for the same or phenotypically similar diseases may generally reside in the…”
Heritability is not Evolvability (2011, background): “…measures of evolvability and related concepts such as modularity and integration (Blows et al. 2004; Mitteroecker and Bookstein 2007, 2009; Wagner et al. 2007; Hansen and Houle 2008; Stinchcombe et al. 2008; Agrawal and Stinchcombe 2009; Gomulkiewicz and Houle 2009; Hallgrimsson et al.…”
The modular and integrative functional architecture of the human brain (2015, background): “This suggests a modular evolution of the brain, as functions that are adjusted in a modular manner require modular genetic bases (3).”
Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution (2021, background): “Nevertheless, a statistical lower bound can be derived [11, 45] showing that most of the probability weight in P ( x ) will be close to the bound (17).”
Epistasis—the essential role of gene interactions in the structure and evolution of genetic systems (2008, background): “From an evolutionary standpoint, we might also add questions such as whether the structure of the system has evolved to facilitate these properties (for example, robustness, modularity and evolvabilit”