Literature DB >> 9288416

Microhabitat use, trophic patterns, and the evolution of brain structure in African cichlids.

R Huber1, M J van Staaden, L S Kaufman, K F Liem.   

Abstract

The species assemblages of cichlids in the three largest African Great Lakes are among the richest concentrations of vertebrate species on earth. The faunas are broadly similar in terms of trophic diversity, species richness, rates of endemism, and taxonomic composition, yet they are historically independent of each other. Hence, they offer a true and unique evolutionary experiment to test hypotheses concerning the mutual dependencies of ecology and brain morphology. We examined the brains of 189 species of cichlids from the three large lakes: Victoria, Tanganyika, and Malawi. A first paper demonstrated that patterns of evolutionary change in cichlid brain morphology are similar across taxonomic boundaries as well as across the three lakes [van Staaden et al., 1995 ZACS 98: 165-178]. Here we report a close relationship between the relative sizes of various brain structures and variables related to the utilization of habitat and prey. Causality is difficult to assign in this context, nonetheless, prey size and agility, turbidity levels, depth, and substrate complexity are all highly predictive of variation in brain structure. Areas associated with primary sensory functions such as vision and taste relate significantly to differences in feeding habits. Turbidity and depth are closely associated with differences in eye size, and large eyes are associated with species that pick plankton from the water column. Piscivorous taxa and others that utilize motile prey are characterized by a well developed optic tectum and a large cerebellum compared to species that prey on molluscs or plants. Structures relating to taste are well developed in species feeding on benthos over muddy or sandy substrates. The data militated against the existence of compensatory changes in brain structure. Thus enhanced development of a particular function is generally not accompanied by a parallel reduction of structures related to other modalities. Although genetic and environmental influences during ontogeny of the brain cannot be isolated, this study provides a rich source of hypotheses concerning the way the nervous system functions under various environmental conditions and how it has responded to natural selection.

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Year:  1997        PMID: 9288416     DOI: 10.1159/000113330

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


  43 in total

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2.  Brain diversity evolves via differences in patterning.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-03       Impact factor: 11.205

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

Authors:  Hans A Hofmann
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-27       Impact factor: 11.205

4.  Sensory modalities in cichlid fish behavior.

Authors:  Daniel Escobar-Camacho; Karen L Carleton
Journal:  Curr Opin Behav Sci       Date:  2015-12-01

5.  Brain shape convergence in the adaptive radiation of New World monkeys.

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6.  Neural divergence and hybrid disruption between ecologically isolated Heliconius butterflies.

Authors:  Stephen H Montgomery; Matteo Rossi; W Owen McMillan; Richard M Merrill
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7.  Do constructional constraints influence cichlid craniofacial diversification?

Authors:  C D Hulsey; M C Mims; J T Streelman
Journal:  Proc Biol Sci       Date:  2007-08-07       Impact factor: 5.349

8.  Habitat-dependent and -independent plastic responses to social environment in the nine-spined stickleback (Pungitius pungitius) brain.

Authors:  Abigél Gonda; Gábor Herczeg; Juha Merilä
Journal:  Proc Biol Sci       Date:  2009-03-11       Impact factor: 5.349

9.  Social fishes and single mothers: brain evolution in African cichlids.

Authors:  Alejandro Gonzalez-Voyer; Svante Winberg; Niclas Kolm
Journal:  Proc Biol Sci       Date:  2009-01-07       Impact factor: 5.349

10.  Brain reorganization, not relative brain size, primarily characterizes anthropoid brain evolution.

Authors:  J B Smaers; C Soligo
Journal:  Proc Biol Sci       Date:  2013-03-27       Impact factor: 5.349

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