A comparison of phenotypic variation and covariation patterns and the role of phylogeny, ecology, and ontogeny during cranial evolution of new world monkeys
Abstract
Similarity of genetic and phenotypic variation patterns among populations is important for making quantitative inferences about past evolutionary forces acting to differentiate populations and for evaluating the evolution of relationships among traits in response to new functional and developmental relationships. Here, phenotypic co variance and correlation structure is compared among Platyrrhine Neotropical primates. Comparisons range from among species within a genus to the superfamily level. Matrix correlation followed by Mantel's test and vector correlation among responses to random natural selection vectors (random skewers) were used to compare correlation and variance/covariance matrices of 39 skull traits. Sampling errors involved in matrix estimates were taken into account in comparisons using matrix repeatability to set upper limits for each pairwise comparison. Results indicate that covariance structure is not strictly constant but that the amount of variance pattern divergence observed among taxa is generally low and not associated with taxonomic distance. Specific instances of divergence are identified. There is no correlation between the amount of divergence in covariance patterns among the 16 genera and their phylogenetic distance derived from a conjoint analysis of four already published nuclear gene datasets. In contrast, there is a significant correlation between phylogenetic distance and morphological distance (Mahalanobis distance among genus centroids). This result indicates that while the phenotypic means were evolving during the last 30 millions years of New World monkey evolution, phenotypic covariance structures of Neotropical primate skulls have remained relatively consistent. Neotropical primates can be divided into four major groups based on their feeding habits (fruit-leaves, seed-fruits, insect-fruits, and gum-insect-fruits). Differences in phenotypic covariance structure are correlated with differences in feeding habits, indicating that to some extent changes in interrelationships among skull traits are associated with changes in feeding habits. Finally, common patterns and levels of morphological integration are found among Platyrrhine primates, suggesting that functional/developmental integration could be one major factor keeping covariance structure relatively stable during evolutionary diversification of South American monkeys.
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Patterns of covariation and correlation between different parts of the cranium are partially independent, suggesting they behave as partially independent units.
“In fact, different studies have shown that the patterns of covariation and correlation between different parts of the cranium are partially independent, thus suggesting that they behave as partially independent units [15,39–42].”
From Morphological consequences of artificial cranial deformation: Modularity and integration (2020) · cites this paper as [39]
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Cowley, D. E., & Atchley, W. R. (1992) · Evolution · doi:10.1111/j.1558-5646.1992.tb01184.x · Cited by 35 · see citing works
VARIATION IN DEVELOPMENTAL CONSTRAINTS IN SIGMODON
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COMPARISON OF QUANTITATIVE GENETIC PARAMETERS: REPLY TO COWLEY AND ATCHLEY
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Paulsen, S. M. (1996) · Evolution · doi:10.2307/2410895 · Cited by 30 · see citing works
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Leamy, Routman, & Cheverud (1999) · The American Naturalist · doi:10.2307/2463581 · Cited by 27 · see citing works
Probing Multivariate Data with Random Skewers: A Preliminary to Direct Gradient Analysis
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Comparison of Quantitative Genetic Parameters
Cowley, D. E., & Atchley, W. R. (1992) · Evolution · doi:10.2307/2410046 · Cited by 14 · see citing works
Variation in Developmental Constraints in Sigmodon
Zelditch, M. L., Straney, D. O., Swiderski, D. L., et al. (1990) · Evolution · doi:10.2307/2409503 · Cited by 13 · see citing works
Group Size Factors and Geographic Variation of Morphometric Correlation
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Comparison of Quantitative Genetic Parameters: Reply to Cowley and Atchley
Shaw, R. G. (1992) · Evolution · doi:10.2307/2410047 · Cited by 11 · see citing works
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Cranial modularity shifts during mammalian evolution
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von Cramon‐Taubadel, N. (2011) · American Journal of Physical Anthropology · doi:10.1002/ajpa.21550 · Cited by 91 · see citing works
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Morphological consequences of artificial cranial deformation: Modularity and integration
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Villmoare, B. A., Dunmore, C., Kilpatrick, S., Oertelt, N., Depew, M. J., & Fish, J. L. (2014) · Journal of Human Evolution · doi:10.1016/j.jhevol.2014.06.014 · Cited by 16 · see citing works
- Authors
- Marroig, G., & Cheverud, J. M.
- Affiliations
- Universidade Federal do Rio de Janeiro (BR)
- Washington University in St. Louis (US)
- Corresponding author
- Marroig, Gabriel
- Cheverud, James M.
- Venue
- Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-12
- Volume
- 55
- Issue
- 12
- Pages
- 2576-2600
- ISSN
- 0014-3820 (ISSN-L)
- 1558-5646
- OpenAlex
- W2174009270
- Cited by
- 425
- References
- 140
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 6 · 2023: 6 · 2022: 16 · 2021: 9 · 2020: 25 · 2019: 23 · 2018: 23 · 2017: 22 · 2016: 30 · 2015: 17 · 2014: 24 · 2013: 24 · 2012: 15
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Evolution (publishedVersion)
- PubMed (publishedVersion)
- BioOne Complete (BioOne) (submittedVersion)
- Funders
- Oak Ridge Associated Universities
- Topics
- Physical Sciences › Mathematics › Geometry and Topology › Morphological variations and asymmetry
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
- Social Sciences › Psychology › Social Psychology › Primate Behavior and Ecology
- Keywords
- cranial evolution, phenotypic covariance, phenotypic variability, New World monkeys, morphological integration, phylogenetic distance, feeding habits, ontogeny, morphological distance, matrix correlation
- MeSH terms
- Animals, Cebidae, Biological Evolution, Models, Genetic, Phenotype, Phylogeny, Skull, Genetic Variation, Reproducibility of Results
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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