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Cited by 431

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Homoplasy: From Detecting Pattern to Determining Process and Mechanism of Evolution

Wake, David B., Wake, Marvalee H., Specht, Chelsea D.·2011·Science

Abstract

Understanding the diversification of phenotypes through time—“descent with modification”—has been the focus of evolutionary biology for 150 years. If, contrary to expectations, similarity evolves in unrelated taxa, researchers are guided to uncover the genetic and developmental mechanisms responsible. Similar phenotypes may be retained from common ancestry (homology), but a phylogenetic context may instead reveal that they are independently derived, due to convergence or parallel evolution, or less likely, that they experienced reversal. Such examples of homoplasy present opportunities to discover the foundations of morphological traits. A common underlying mechanism may exist, and components may have been redeployed in a way that produces the “same” phenotype. New, robust phylogenetic hypotheses and molecular, genomic, and developmental techniques enable integrated exploration of the mechanisms by which similarity arises.

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Metadata

Authors
Wake, D. B., Wake, M. H., & Specht, C. D.
Venue
Science
Published
2011-02-25
Volume
331
Issue
6020
Pages
1032-1035
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2007574989
Cited by
431
References
4
FWCI
41.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Homoplasy: From Detecting Pattern to Determining Process and Mechanism of Evolution. https://app.cochat.ai/papers/10.1126/science.1188545
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Wake, D. B., Wake, M. H., & Specht, C. D. (2011). Homoplasy: From Detecting Pattern to Determining Process and Mechanism of Evolution. Science. https://doi.org/10.1126/science.1188545

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.