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  Using geometric morphometric visualizations of directional selection gradients to investigate morphological differentiation

Weaver, T. D., & Gunz, P. (2018). Using geometric morphometric visualizations of directional selection gradients to investigate morphological differentiation. Evolution, 72(4), 838-850. doi:10.1111/evo.13460.

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 Creators:
Weaver, Timothy D.1, Author           
Gunz, Philipp1, Author                 
Affiliations:
1Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_1497673              

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Free keywords: Form, great apes, humans, natural selection, neutral evolution, primates
 Abstract: Researchers studying extant and extinct taxa are often interested in identifying the evolutionary processes that have lead to the morphological differences among the taxa. Ideally, one could distinguish the influences of neutral evolutionary processes (genetic drift, mutation) from natural selection, and in situations for which selection is implicated, identify the targets of selection. The directional selection gradient is an effective tool for investigating evolutionary process, because it can relate form (size and shape) differences between taxa to the variation and covariation found within taxa. However, although most modern morphometric analyses use the tools of geometric morphometrics (GM) to analyze landmark data, to date, selection gradients have mainly been calculated from linear measurements. To address this methodological gap, here we present a GM approach for visualizing and comparing between-taxon selection gradients with each other, associated difference vectors, and “selection” gradients from neutral simulations. To exemplify our approach, we use a dataset of 347 three-dimensional landmarks and semilandmarks recorded on the crania of 260 primate specimens (112 humans, 67 common chimpanzees, 36 bonobos, 45 gorillas). Results on this example dataset show how incorporating geometric information can provide important insights into the evolution of the human braincase, and serve to demonstrate the utility of our approach for understanding morphological evolution.

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Language(s): eng - English
 Dates: 2018-03-062018-04
 Publication Status: Issued
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1111/evo.13460
 Degree: -

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Title: Evolution
Source Genre: Journal
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Pages: - Volume / Issue: 72 (4) Sequence Number: - Start / End Page: 838 - 850 Identifier: ISSN: 1558-5646