The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Development and Evolution of Exaggerated Morphologies in Insects
Abstract
▪ Abstract We discuss a framework for studying the evolution of morphology in insects, based on the concepts of “phenotypic plasticity” and “reaction norms.” We illustrate this approach with the evolution of some of the most extreme morphologies in insects: exaggerated, sexually selected male ornaments and weapons, and elaborate social insect soldier castes. Most of these traits scale with body size, and these scaling relationships are often nonlinear. We argue that scaling relationships are best viewed as reaction norms, and that the evolution of exaggerated morphological traits results from genetic changes in the slope and/or shape of these scaling relationships. After reviewing literature on sexually selected and caste-specific structures, we suggest two possible routes to the evolution of exaggerated trait dimensions: (a) the evolution of steeper scaling relationship slopes and (b) the evolution of sigmoid or discontinuous scaling relationship shapes. We discuss evolutionary implications of these two routes to exaggeration and suggest why so many of the most exaggerated insect structures scale nonlinearly with body size. Finally, we review literature on insect development to provide a comprehensive picture of how scaling relationships arise and to suggest how they may be modified through evolution.
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Citations
Cites
Scaling: Why is Animal Size so Important?
Schmidt-Nielsen, K. (1984) · doi:10.1017/cbo9781139167826 · Cited by 2,677
QUANTITATIVE GENETIC ANALYSIS OF MULTIVARIATE EVOLUTION, APPLIED TO BRAIN:BODY SIZE ALLOMETRY
Lande, R. (1979) · Evolution · doi:10.1111/j.1558-5646.1979.tb04694.x · Cited by 2,648
Phenotypic Plasticity and the Origins of Diversity
West-Eberhard, M. J. (1989) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.20.110189.001341 · Cited by 2,110
The Evolution of Insect Mating Systems
Thornhill, R., & Alcock, J. (1983) · doi:10.4159/harvard.9780674433960 · Cited by 1,954
Karim, F. D., Guild, G. M., & Thummel, C. S. (1993) · Development · doi:10.1242/dev.118.3.977 · Cited by 227
Genetics of Growth Predict Patterns of Brain-Size Evolution
Riska, B., & Atchley, W. R. (1985) · Science · doi:10.1126/science.229.4714.668 · Cited by 137
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Nijhout, H. F. (2003) · Evolution & Development · doi:10.1046/j.1525-142x.2003.03003.x · Cited by 652
Self-citationScaling of insect metabolic rate is inconsistent with the nutrient supply network model
CHOWN, S. L., MARAIS, E., TERBLANCHE, J. S., KLOK, C. J., LIGHTON, J. R. B., & BLACKBURN, T. M. (2007) · Functional Ecology · doi:10.1111/j.1365-2435.2007.01245.x · Cited by 253
Allometric scaling and proportion regulation in the freshwater planarian Schmidtea mediterranea
Oviedo, N. J., Newmark, P. A., & Sánchez Alvarado, A. (2003) · Developmental Dynamics · doi:10.1002/dvdy.10228 · Cited by 169
The genetic and developmental basis of an exaggerated craniofacial trait in East African cichlids
Concannon, M. R., & Albertson, R. C. (2015) · Journal of Experimental Zoology Part B: Molecular and Developmental Evolution · doi:10.1002/jez.b.22641 · Cited by 25
Koch, S., Tahara, R., Vasquez‐Correa, A., & Abouheif, E. (2021) · Journal of Experimental Zoology Part B: Molecular and Developmental Evolution · doi:10.1002/jez.b.23097 · Cited by 5
Metadata
- Authors
- Emlen, D. J., & Nijhout, H. F.
- Venue
- Annual Review of Entomology
- Publisher
- Annual Reviews
- Published
- 2000-01
- Volume
- 45
- Issue
- 1
- Pages
- 661-708
- ISSN
- 0066-4170 (ISSN-L)
- 1545-4487
- OpenAlex
- W2157403679
- Cited by
- 502
- References
- 6
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Emlen, D. J., & Nijhout, H. F. (2000). The Development and Evolution of Exaggerated Morphologies in Insects. Annual Review of Entomology. https://doi.org/10.1146/annurev.ento.45.1.661
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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.