Literature DB >> 30104752

Breakdown of brain-body allometry and the encephalization of birds and mammals.

Masahito Tsuboi1,2,3, Wouter van der Bijl4, Bjørn Tore Kopperud5, Johannes Erritzøe6, Kjetil L Voje5, Alexander Kotrschal4, Kara E Yopak7,8, Shaun P Collin8, Andrew N Iwaniuk9, Niclas Kolm4.   

Abstract

The allometric relationship between brain and body size among vertebrates is often considered a manifestation of evolutionary constraints. However, birds and mammals have undergone remarkable encephalization, in which brain size has increased without corresponding changes in body size. Here, we explore the hypothesis that a reduction of phenotypic integration between brain and body size has facilitated encephalization in birds and mammals. Using a large dataset comprising 20,213 specimens across 4,587 species of jawed vertebrates, we show that the among-species (evolutionary) brain-body allometries are remarkably constant, both across vertebrate classes and across taxonomic levels. Birds and mammals, however, are exceptional in that their within-species (static) allometries are shallower and more variable than in other vertebrates. These patterns are consistent with the idea that birds and mammals have reduced allometric constraints that are otherwise ubiquitous across jawed vertebrates. Further exploration of ontogenetic allometries in selected taxa of birds, fishes and mammals reveals that birds and mammals have extended the period of fetal brain growth compared to fishes. Based on these findings, we propose that avian and mammalian encephalization has been contingent on increased variability in brain growth patterns.

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Year:  2018        PMID: 30104752     DOI: 10.1038/s41559-018-0632-1

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  21 in total

Review 1.  Correlational selection in the age of genomics.

Authors:  Erik I Svensson; Stevan J Arnold; Reinhard Bürger; Katalin Csilléry; Jeremy Draghi; Jonathan M Henshaw; Adam G Jones; Stephen De Lisle; David A Marques; Katrina McGuigan; Monique N Simon; Anna Runemark
Journal:  Nat Ecol Evol       Date:  2021-04-15       Impact factor: 15.460

2.  Population densities predict forebrain size variation in the cleaner fish Labroides dimidiatus.

Authors:  Zegni Triki; Elena Levorato; William McNeely; Justin Marshall; Redouan Bshary
Journal:  Proc Biol Sci       Date:  2019-11-20       Impact factor: 5.349

3.  Convergent mosaic brain evolution is associated with the evolution of novel electrosensory systems in teleost fishes.

Authors:  Erika L Schumacher; Bruce A Carlson
Journal:  Elife       Date:  2022-06-17       Impact factor: 8.713

4.  Analyzing Disparity and Rates of Morphological Evolution with Model-Based Phylogenetic Comparative Methods.

Authors:  Thomas F Hansen; Geir H Bolstad; Masahito Tsuboi
Journal:  Syst Biol       Date:  2022-08-10       Impact factor: 9.160

5.  Allometric analysis of brain cell number in Hymenoptera suggests ant brains diverge from general trends.

Authors:  Rebekah Keating Godfrey; Mira Swartzlander; Wulfila Gronenberg
Journal:  Proc Biol Sci       Date:  2021-03-24       Impact factor: 5.349

6.  Are endocasts good proxies for brain size and shape in archosaurs throughout ontogeny?

Authors:  Akinobu Watanabe; Paul M Gignac; Amy M Balanoff; Todd L Green; Nathan J Kley; Mark A Norell
Journal:  J Anat       Date:  2018-12-03       Impact factor: 2.610

7.  Artificial selection on brain size leads to matching changes in overall number of neurons.

Authors:  Lucie Marhounová; Alexander Kotrschal; Kristina Kverková; Niclas Kolm; Pavel Němec
Journal:  Evolution       Date:  2019-08-01       Impact factor: 3.694

8.  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

9.  Assessment of a Takagi-Sugeno-Kang fuzzy model assembly for examination of polyphasic loglinear allometry.

Authors:  Hector A Echavarria-Heras; Juan R Castro-Rodriguez; Cecilia Leal-Ramirez; Enrique Villa-Diharce
Journal:  PeerJ       Date:  2020-01-06       Impact factor: 2.984

10.  Determinate growth is predominant and likely ancestral in squamate reptiles.

Authors:  Petra Frýdlová; Jana Mrzílková; Martin Šeremeta; Jan Křemen; Jan Dudák; Jan Žemlička; Bernd Minnich; Kristina Kverková; Pavel Němec; Petr Zach; Daniel Frynta
Journal:  Proc Biol Sci       Date:  2020-12-23       Impact factor: 5.349

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