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    Convergent transcriptional specializations in the brains of humans and song-learning birds.

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    7.5 Mb
    Date
    2014-12-12
    Authors
    Bakken, T
    Bernard, A
    Bongaarts, A
    Ganapathy, G
    Gilbert, M Thomas P
    Hara, E
    Hartemink, Alexander J
    Howard, JT
    Iriki, A
    Jarvis, Erich David
    Kato, M
    Lein, E
    Lovell, PV
    Mello, CV
    Moseley, Martin Arthur III
    Mouncastle, J
    Pfenning, Andreas R
    Rivas, Miriam V
    Roulhac, PL
    Soderblom, Erik James
    Thompson, JW
    Wang, R
    Whitney, O
    Wirthlin, M
    Zhang, G
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    (25 total)
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    Abstract
    Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential for song and speech and are not found in most other species. Comparisons of brain transcriptomes of song-learning birds and humans relative to vocal nonlearners identified convergent gene expression specializations in specific song and speech brain regions of avian vocal learners and humans. The strongest shared profiles relate bird motor and striatal song-learning nuclei, respectively, with human laryngeal motor cortex and parts of the striatum that control speech production and learning. Most of the associated genes function in motor control and brain connectivity. Thus, convergent behavior and neural connectivity for a complex trait are associated with convergent specialized expression of multiple genes.
    Type
    Journal article
    Subject
    Adult
    Animals
    Birds
    Brain
    Brain Mapping
    Corpus Striatum
    Evolution, Molecular
    Finches
    Gene Expression Regulation
    Humans
    Learning
    Male
    Motor Cortex
    Neural Pathways
    Species Specificity
    Speech
    Transcription, Genetic
    Transcriptome
    Vocalization, Animal
    Permalink
    http://hdl.handle.net/10161/11149
    Published Version (Please cite this version)
    10.1126/science.1256846
    Publication Info
    Bakken, T; Bernard, A; Bongaarts, A; Ganapathy, G; Gilbert, M Thomas P; Hara, E; ... Zhang, G (2014). Convergent transcriptional specializations in the brains of humans and song-learning birds. Science, 346(6215). pp. 1256846. 10.1126/science.1256846. Retrieved from http://hdl.handle.net/10161/11149.
    This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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    Scholars@Duke

    Hartemink

    Alexander J. Hartemink

    Professor in the Department of Computer Science
    Computational biology, machine learning, Bayesian statistics, systems biology, transcriptional regulation, genomics and epigenomics, graphical models, Bayesian networks, computational neurobiology, classification, feature selection
    Jarvis

    Erich David Jarvis

    Adjunct Professor in the Dept. of Neurobiology
    Dr. Jarvis' laboratory studies the neurobiology of vocal communication. Emphasis is placed on the molecular pathways involved in the perception and production of learned vocalizations. They use an integrative approach that combines behavioral, anatomical, electrophysiological and molecular biological techniques. The main animal model used is songbirds, one of the few vertebrate groups that evolved the ability to learn vocalizations. The generality of the discoveries is tested in other vocal
    Moseley

    Martin Arthur Moseley III

    Associate Professor in Medicine

    Erik James Soderblom

    Assistant Research Professor of Cell Biology
    Alphabetical list of authors with Scholars@Duke profiles.
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