Literature DB >> 10331289

How quickly do brains catch up with bodies? A comparative method for detecting evolutionary lag.

R O Deaner1, C L Nunn.   

Abstract

A trait may be at odds with theoretical expectation because it is still in the process of responding to a recent selective force. Such a situation can be termed evolutionary lag. Although many cases of evolutionary lag have been suggested, almost all of the arguments have focused on trait fitness. An alternative approach is to examine the prediction that trait expression is a function of the time over which the trait could evolve. Here we present a phylogenetic comparative method for using this 'time' approach and we apply the method to a long-standing lag hypothesis: evolutionary changes in brain size lag behind evolutionary changes in body size. We tested the prediction in primates that brain mass contrast residuals, calculated from a regression of pairwise brain mass contrasts on positive pairwise body mass contrasts, are correlated with the time since the paired species diverged. Contrary to the brain size lag hypothesis, time since divergence was not significantly correlated with brain mass contrast residuals. We found the same result when we accounted for socioecology, used alternative body mass estimates and used male rather than female values. These tests do not support the brain size lag hypothesis. Therefore, body mass need not be viewed as a suspect variable in comparative neuroanatomical studies and relative brain size should not be used to infer recent evolutionary changes in body size.

Mesh:

Year:  1999        PMID: 10331289      PMCID: PMC1689825          DOI: 10.1098/rspb.1999.0690

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  13 in total

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Authors:  T Sawaguchi
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Review 2.  Comparing brains.

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Journal:  Brain Behav Evol       Date:  1996       Impact factor: 1.808

Review 4.  Intrasexual competition and body weight dimorphism in anthropoid primates.

Authors:  J M Plavcan; C P van Schaik
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5.  Comparative analysis by independent contrasts (CAIC): an Apple Macintosh application for analysing comparative data.

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Journal:  Comput Appl Biosci       Date:  1995-06

6.  A composite estimate of primate phylogeny.

Authors:  A Purvis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1995-06-29       Impact factor: 6.237

7.  Macroevolutionary inferences from primate phylogeny.

Authors:  A Purvis; S Nee; P H Harvey
Journal:  Proc Biol Sci       Date:  1995-06-22       Impact factor: 5.349

Review 8.  Allometry in primates, with emphasis on scaling and the evolution of the brain.

Authors:  S J Gould
Journal:  Contrib Primatol       Date:  1975

9.  New and revised data on volumes of brain structures in insectivores and primates.

Authors:  H Stephan; H Frahm; G Baron
Journal:  Folia Primatol (Basel)       Date:  1981       Impact factor: 1.246

10.  Visual specialization and brain evolution in primates.

Authors:  R A Barton
Journal:  Proc Biol Sci       Date:  1998-10-22       Impact factor: 5.349

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  10 in total

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Journal:  Proc Biol Sci       Date:  2002-05-07       Impact factor: 5.349

2.  Females drive primate social evolution.

Authors:  Patrik Lindenfors; Laila Fröberg; Charles L Nunn
Journal:  Proc Biol Sci       Date:  2004-02-07       Impact factor: 5.349

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Authors:  Carlos A Botero; Dustin R Rubenstein
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7.  Controlling for body size leads to inferential biases in the biological sciences.

Authors:  Björn Rogell; Damian K Dowling; Arild Husby
Journal:  Evol Lett       Date:  2019-12-19

8.  Why big brains? A comparison of models for both primate and carnivore brain size evolution.

Authors:  Helen Rebecca Chambers; Sandra Andrea Heldstab; Sean J O'Hara
Journal:  PLoS One       Date:  2021-12-21       Impact factor: 3.240

9.  Reconstructing the ups and downs of primate brain evolution: implications for adaptive hypotheses and Homo floresiensis.

Authors:  Stephen H Montgomery; Isabella Capellini; Robert A Barton; Nicholas I Mundy
Journal:  BMC Biol       Date:  2010-01-27       Impact factor: 7.431

10.  Evolutionary change in physiological phenotypes along the human lineage.

Authors:  Alexander Q Vining; Charles L Nunn
Journal:  Evol Med Public Health       Date:  2016-10-02
  10 in total

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