Literature DB >> 17389793

Environmental complexity and social organization sculpt the brain in Lake Tanganyikan cichlid fish.

Alexander A Pollen1, Adam P Dobberfuhl, Justin Scace, Mathias M Igulu, Susan C P Renn, Caroly A Shumway, Hans A Hofmann.   

Abstract

Complex brains and behaviors have occurred repeatedly within vertebrate classes throughout evolution. What adaptive pressures drive such changes? Both environmental and social features have been implicated in the expansion of select brain structures, particularly the telencephalon. East African cichlid fishes provide a superb opportunity to analyze the social and ecological correlates of neural phenotypes and their evolution. As a result of rapid, recent, and repeated radiations, there are hundreds of closely-related species available for study, with an astonishing diversity in habitat preferences and social behaviors. In this study, we present quantitative ecological, social, and neuroanatomical data for closely-related species from the (monophyletic) Ectodini clade of Lake Tanganyikan cichlid fish. The species differed either in habitat preference or social organization. After accounting for phylogeny with independent contrasts, we find that environmental and social factors differentially affect the brain, with environmental factors showing a broader effect on a range of brain structures compared to social factors. Five out of seven of the brain measures show a relationship with habitat measures. Brain size and cerebellar size are positively correlated with species number (which is correlated with habitat complexity); the medulla and olfactory bulb are negatively correlated with habitat measures. The telencephalon shows a trend toward a positive correlation with rock size. In contrast, only two brain structures, the telencephalon and hypothalamus, are correlated with social factors. Telencephalic size is larger in monogamous species compared to polygamous species, as well as with increased numbers of individuals; monogamy is also associated with smaller hypothalamic size. Our results suggest that selection or drift can act independently on different brain regions as the species diverge into different habitats and social systems. Copyright 2007 S. Karger AG, Basel.

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Year:  2007        PMID: 17389793     DOI: 10.1159/000101067

Source DB:  PubMed          Journal:  Brain Behav Evol        ISSN: 0006-8977            Impact factor:   1.808


  53 in total

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2.  Early developmental patterning sets the stage for brain evolution.

Authors:  Hans A Hofmann
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Authors:  Abigél Gonda; Gábor Herczeg; Juha Merilä
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4.  Social fishes and single mothers: brain evolution in African cichlids.

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5.  Fish and chips: functional genomics of social plasticity in an African cichlid fish.

Authors:  Susan C P Renn; Nadia Aubin-Horth; Hans A Hofmann
Journal:  J Exp Biol       Date:  2008-09       Impact factor: 3.312

6.  Intraspecific brain size variation between coexisting sunfish ecotypes.

Authors:  Caleb J Axelrod; Frédéric Laberge; Beren W Robinson
Journal:  Proc Biol Sci       Date:  2018-11-07       Impact factor: 5.349

7.  Environmentally induced changes to brain morphology predict cognitive performance.

Authors:  Thomas W Pike; Michael Ramsey; Anna Wilkinson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-26       Impact factor: 6.237

Review 8.  Evolution of brain elaboration.

Authors:  Sarah M Farris
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-12-19       Impact factor: 6.237

9.  Development and initial psychometric examination of the Home Safety and Beautification Assessment in mothers referred to treatment by child welfare agents.

Authors:  Brad Donohue; Michelle Pitts; Graig M Chow; Stephen D Benning; Arturo Soto-Nevarez; Christopher P Plant; Daniel N Allen
Journal:  Psychol Assess       Date:  2015-08-31

10.  Brain structure evolution in a basal vertebrate clade: evidence from phylogenetic comparative analysis of cichlid fishes.

Authors:  Alejandro Gonzalez-Voyer; Svante Winberg; Niclas Kolm
Journal:  BMC Evol Biol       Date:  2009-09-21       Impact factor: 3.260

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