The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Rate of Morphological Evolution in Mammals from the Standpoint of the Neutral Expectation
Abstract
A comparison of the evolutionary rates of cranial morphology in mammals with the neutral expectation suggests that stabilizing selection is a predominant evolutionary force keeping the long-term diversification of lineages well below its potential. The rate of morphological divergence of almost all lineages, including the great apes, is substantially below the minimum neutral expectation. The divergence of the modern races of man is slightly above the minimum neutral rate but well below the maximum rate. Therefore, there is no need to invoke extraordinary mutational mechanisms, such as regulatory gene evolution, to explain what has been perceived as rapid morphological evolution in mammals. Nor does it appear that behavioral drive needs to be invoked to explain rapid morphological evolution in hominoids. Outside of man, the long-term rate of phenotypic evolution in the great apes is actually lower than that for other mammals. The data suggest that, immediately after reproductive isolation, most lineages diverge morphologically at approximately the neutral rate and that this rate declines over evolutionary time. Such a pattern is consistent with a broad class of phenotypic evolutionary models that invoke an interaction between the forces of random genetic drift, polygenic mutation, and stabilizing selection. This pattern also suggests that the apparently rapid rates of morphological evolution in modern man relative to other mammals and in mammals relative to other vertebrates are artifacts of temporal scaling.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mitochondrial DNA and human evolution
Cann, R. L., Stoneking, M., & Wilson, A. C. (1987) · Nature · doi:10.1038/325031a0 · Cited by 3,100
Natural selection and random genetic drift in phenotypic evolution
Lande, R. (1976) · Evolution · doi:10.1111/j.1558-5646.1976.tb00911.x · Cited by 1,828
(1986) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040379 · Cited by 210
Cited by
Stabilizing selection and the comparative analysis of adaptation
Hansen, T. F. (1997) · Evolution · doi:10.1111/j.1558-5646.1997.tb01457.x · Cited by 1,361
Phylogenetic Analysis of Covariance by Computer Simulation
Garland, T., Dickerman, A. W., Janis, C. M., & Jones, J. A. (1993) · Systematic Biology · doi:10.1093/sysbio/42.3.265 · Cited by 1,238
Harmon, L. J., Losos, J. B., Jonathan Davies, T., Gillespie, R. G., Gittleman, J. L., Bryan Jennings, W., Kozak, K. H., McPeek, M. A., Moreno-Roark, F., Near, T. J., et al. (2010) · Evolution · doi:10.1111/j.1558-5646.2010.01025.x · Cited by 834
Population structure in Daphnia obtusa: quantitative genetic and allozymic variation.
Spitze, K. (1993) · Genetics · doi:10.1093/genetics/135.2.367 · Cited by 797
EVOLUTIONARY QUANTITATIVE GENETICS: HOW LITTLE DO WE KNOW?
Barton, N. H., & Turelli, M. (1989) · Annual Review of Genetics · doi:10.1146/annurev.ge.23.120189.002005 · Cited by 686
Brains, Innovations and Evolution in Birds and Primates
Lefebvre, L., Reader, S. M., & Sol, D. (2004) · Brain, Behavior and Evolution · doi:10.1159/000076784 · Cited by 666
Brain size predicts the success of mammal species introduced into novel environments
Sol, D., Bacher, S., Reader, S. M., & Lefebvre, L. (2008) · The American Naturalist · doi:10.1086/588304 · Cited by 437
QST–FST comparisons: evolutionary and ecological insights from genomic heterogeneity
Leinonen, T., McCairns, R. J. S., O'Hara, R. B., & Merilä, J. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3395 · Cited by 422
Human cranial anatomy and the differential preservation of population history and climate signatures
Harvati, K., & Weaver, T. D. (2006) · The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology · doi:10.1002/ar.a.20395 · Cited by 396
The million-year wait for macroevolutionary bursts
Uyeda, J. C., Hansen, T. F., Arnold, S. J., & Pienaar, J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014503108 · Cited by 358
Model adequacy and the macroevolution of angiosperm functional traits
Pennell, M. W., FitzJohn, R. G., Cornwell, W. K., & Harmon, L. J. (2015) · The American Naturalist · doi:10.1086/682022 · Cited by 165
Evaluating the self‐domestication hypothesis of human evolution
Sánchez‐Villagra, M. R., & van Schaik, C. P. (2019) · Evolutionary Anthropology: Issues, News, and Reviews · doi:10.1002/evan.21777 · Cited by 115
Weaver, T. D., Roseman, C. C., & Stringer, C. B. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709079105 · Cited by 95
Unconstrained cranial evolution in Neandertals and modern humans compared to common chimpanzees
Weaver, T. D., & Stringer, C. B. (2015) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2015.1519 · Cited by 31
Bird, K. A. (2021) · American Journal of Physical Anthropology · doi:10.1002/ajpa.24216 · Cited by 19
Does competition drive character differences between species on a macroevolutionary scale?
Monroe, M. J. (2012) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2012.02609.x · Cited by 8
Metadata
- Authors
- Lynch, M.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 1990-12
- Volume
- 136
- Issue
- 6
- Pages
- 727-741
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W1991100961
- Cited by
- 379
- References
- 3
- FWCI
- 3.82
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.