Literature DB >> 19418568

Congruence of individual cranial bone morphology and neutral molecular affinity patterns in modern humans.

Noreen von Cramon-Taubadel1.   

Abstract

Recent studies have demonstrated that the shape of the human temporal bone is particularly strongly correlated with neutral genetic expectation, when compared against other cranial regions, such as the vault, face, and basicranium. In turn, this has led to suggestions that the temporal bone is particularly reliable in analyses of primate phylogeny and human population history. While several reasons have been suggested to explain the temporal bone's strong fit with neutral expectation, the temporal bone has never systematically been compared against other individual cranial bones defined using the same biological criteria. Therefore, it is currently unknown whether the shapes of all cranial bones possess reliable information regarding neutral genetic evolution, or whether the temporal bone is unique in this respect. This study tests the hypothesis that the human temporal bone is more congruent with neutral expectation than six other individual cranial bones by correlating population affinity matrices generated using neutral genetic and 3D craniometric data. The results demonstrate that while the temporal bone shows the absolute strongest correlation with neutral genetic data compared with all other bones, it is not statistically differentiated from the sphenoid, frontal, and parietal bones in this regard. Potential reasons for the temporal bone's consistently strong fit with neutral expectation, such as its overall anatomical complexity and/or its contribution to the architecture of the basicranium, are examined. The results suggest that future phylogenetic and taxonomic studies would benefit from considering the shape of the entire cranium minus those regions that deviate most from neutrality.

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Year:  2009        PMID: 19418568     DOI: 10.1002/ajpa.21041

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  25 in total

1.  Global human mandibular variation reflects differences in agricultural and hunter-gatherer subsistence strategies.

Authors:  Noreen von Cramon-Taubadel
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

2.  Craniometric data support a mosaic model of demic and cultural Neolithic diffusion to outlying regions of Europe.

Authors:  Noreen von Cramon-Taubadel; Ron Pinhasi
Journal:  Proc Biol Sci       Date:  2011-02-23       Impact factor: 5.349

3.  Using CRANID to test the population affinity of known crania.

Authors:  Lauren Kallenberger; Varsha Pilbrow
Journal:  J Anat       Date:  2012-08-27       Impact factor: 2.610

4.  Testing the utility of dental morphological trait combinations for inferring human neutral genetic variation.

Authors:  Hannes Rathmann; Hugo Reyes-Centeno
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-06       Impact factor: 11.205

5.  Testing evolutionary and dispersion scenarios for the settlement of the new world.

Authors:  Mark Hubbe; Walter A Neves; Katerina Harvati
Journal:  PLoS One       Date:  2010-06-14       Impact factor: 3.240

6.  Skull and limb morphology differentially track population history and environmental factors in the transition to agriculture in Europe.

Authors:  Noreen von Cramon-Taubadel; Jay T Stock; Ron Pinhasi
Journal:  Proc Biol Sci       Date:  2013-07-31       Impact factor: 5.349

7.  Reconstructing cranial evolution in an extinct hominin.

Authors:  Karen L Baab
Journal:  Proc Biol Sci       Date:  2021-01-20       Impact factor: 5.349

8.  Detecting Phylogenetic Signal and Adaptation in Papionin Cranial Shape by Decomposing Variation at Different Spatial Scales.

Authors:  Nicole D S Grunstra; Silvester J Bartsch; Anne Le Maître; Philipp Mitteroecker
Journal:  Syst Biol       Date:  2021-06-16       Impact factor: 15.683

9.  A genome-wide association study identifies five loci influencing facial morphology in Europeans.

Authors:  Fan Liu; Fedde van der Lijn; Claudia Schurmann; Gu Zhu; M Mallar Chakravarty; Pirro G Hysi; Andreas Wollstein; Oscar Lao; Marleen de Bruijne; M Arfan Ikram; Aad van der Lugt; Fernando Rivadeneira; André G Uitterlinden; Albert Hofman; Wiro J Niessen; Georg Homuth; Greig de Zubicaray; Katie L McMahon; Paul M Thompson; Amro Daboul; Ralf Puls; Katrin Hegenscheid; Liisa Bevan; Zdenka Pausova; Sarah E Medland; Grant W Montgomery; Margaret J Wright; Carol Wicking; Stefan Boehringer; Timothy D Spector; Tomáš Paus; Nicholas G Martin; Reiner Biffar; Manfred Kayser
Journal:  PLoS Genet       Date:  2012-09-13       Impact factor: 5.917

10.  Craniometric data supports demic diffusion model for the spread of agriculture into Europe.

Authors:  Ron Pinhasi; Noreen von Cramon-Taubadel
Journal:  PLoS One       Date:  2009-08-26       Impact factor: 3.240

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