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      Brain differences in ecologically differentiated sticklebacks

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          Abstract

          Populations that have recently diverged offer a powerful model for studying evolution. Ecological differences are expected to generate divergent selection on multiple traits, including neurobiological ones. Animals must detect, process, and act on information from their surroundings and the form of this information can be highly dependent on the environment. We might expect different environments to generate divergent selection not only on the sensory organs, but also on the brain regions responsible for processing sensory information. Here, we test this hypothesis using recently evolved reproductively isolated species pairs of threespine stickleback fish Gasterosteus aculeatus that have well-described differences in many morphological and behavioral traits correlating with ecological differences. We use a state-of-the-art method, magnetic resonance imaging, to get accurate volumetric data for 2 sensory processing regions, the olfactory bulbs and optic tecta. We found a tight correlation between ecology and the size of these brain regions relative to total brain size in 2 lakes with intact species pairs. Limnetic fish, which rely heavily on vision, had relatively larger optic tecta and smaller olfactory bulbs compared with benthic fish, which utilize olfaction to a greater extent. Benthic fish also had larger total brain volumes relative to their body size compared with limnetic fish. These differences were erased in a collapsed species pair in Enos Lake where anthropogenic disturbance has led to intense hybridization. Together these data indicate that evolution of sensory processing regions can occur rapidly and independently.

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          The Expensive-Tissue Hypothesis: The Brain and the Digestive System in Human and Primate Evolution

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            Convergence, adaptation, and constraint.

            Convergent evolution of similar phenotypic features in similar environmental contexts has long been taken as evidence of adaptation. Nonetheless, recent conceptual and empirical developments in many fields have led to a proliferation of ideas about the relationship between convergence and adaptation. Despite criticism from some systematically minded biologists, I reaffirm that convergence in taxa occupying similar selective environments often is the result of natural selection. However, convergent evolution of a trait in a particular environment can occur for reasons other than selection on that trait in that environment, and species can respond to similar selective pressures by evolving nonconvergent adaptations. For these reasons, studies of convergence should be coupled with other methods-such as direct measurements of selection or investigations of the functional correlates of trait evolution-to test hypotheses of adaptation. The independent acquisition of similar phenotypes by the same genetic or developmental pathway has been suggested as evidence of constraints on adaptation, a view widely repeated as genomic studies have documented phenotypic convergence resulting from change in the same genes, sometimes even by the same mutation. Contrary to some claims, convergence by changes in the same genes is not necessarily evidence of constraint, but rather suggests hypotheses that can test the relative roles of constraint and selection in directing phenotypic evolution. © 2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.
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              The evolution of self-control.

              Cognition presents evolutionary research with one of its greatest challenges. Cognitive evolution has been explained at the proximate level by shifts in absolute and relative brain volume and at the ultimate level by differences in social and dietary complexity. However, no study has integrated the experimental and phylogenetic approach at the scale required to rigorously test these explanations. Instead, previous research has largely relied on various measures of brain size as proxies for cognitive abilities. We experimentally evaluated these major evolutionary explanations by quantitatively comparing the cognitive performance of 567 individuals representing 36 species on two problem-solving tasks measuring self-control. Phylogenetic analysis revealed that absolute brain volume best predicted performance across species and accounted for considerably more variance than brain volume controlling for body mass. This result corroborates recent advances in evolutionary neurobiology and illustrates the cognitive consequences of cortical reorganization through increases in brain volume. Within primates, dietary breadth but not social group size was a strong predictor of species differences in self-control. Our results implicate robust evolutionary relationships between dietary breadth, absolute brain volume, and self-control. These findings provide a significant first step toward quantifying the primate cognitive phenome and explaining the process of cognitive evolution.
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                Author and article information

                Journal
                Curr Zool
                Curr Zool
                czoolo
                Current Zoology
                Oxford University Press
                1674-5507
                2396-9814
                April 2018
                30 November 2017
                30 November 2017
                : 64
                : 2
                : 243-250
                Affiliations
                [1 ]Department of Animal Biology, School of Integrative Biology, University of Illinois, Urbana-Champaign, IL 61801, USA
                [2 ]Department of Integrative Biology, Michigan State University, East Lansing, MI 48824, USA
                [3 ]BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA
                [4 ]Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA 16802, USA
                [5 ]Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
                [6 ]Center for Brain, Behavior and Cognition, Pennsylvania State University, University Park, PA 16802, USA
                [7 ]Program in Ecology, Evolutionary Biology and Behavior, Michigan State University, East Lansing, MI 48824, USA
                Author notes
                Address correspondence to Jason Keagy. E-mail: keagy@ 123456illinois.edu .
                Article
                zox074
                10.1093/cz/zox074
                5905471
                2bae45b5-0c0d-4f9c-a74f-14bd22ed9f5a
                © The Author(s) (2017). Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 8 September 2017
                : 20 November 2017
                Page count
                Pages: 8
                Funding
                Funded by: National Science Foundation 10.13039/100000001
                Award ID: NSF DEB-0952659
                Funded by: National Institute of Food and Agriculture 10.13039/100005825
                Award ID: AES 4558
                Categories
                Special Column: Ecology and Evolution along Environmental Gradients
                Guest Editors: Rüdiger Riesch, Martin Plath and David Bierbach
                Articles

                brain evolution,divergent selection,magnetic resonance imaging,olfactory bulb,optic tectum,threespine stickleback

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