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Issue 1016 coverBehavioral Neurobiology of Birdsong Volume 1016 published June 2004
Ann. N.Y. Acad. Sci. 1016: 45–60 (2004). doi: 10.1196/annals.1298.028
Copyright © 2004 by the New York Academy of Sciences
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Articles by CLAYTON, D. F.
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Articles by CLAYTON, D. F.
Songbird Genomics: Methods, Mechanisms, Opportunities, and Pitfalls

DAVID F. CLAYTON

Cell and Structural Biology, Neuroscience and Bioengineering, Beckman Institute, University of Illinois, Urbana-Champaign, Illinois 61801, USA

Address for correspondence: David F. Clayton, Cell & Structural Biology, Neuroscience and Bioengineering, Beckman Institute, University of Illinois, Urbana, IL 61801, USA. Voice: 217-244-3668; fax: 217-244-1640. dclayton{at}uiuc.edu; <http://www.life.uiuc.edu/clayton/default.html>
Ann. N.Y. Acad. Sci. 1016: 45-60 (2004).

The biology of songbirds poses fundamental questions about the interplay between gene, brain, and behavior. New tools of genomic analysis will be invaluable in pursuing answers to these questions. This review begins with a summary of the broad properties of the songbird genome and how songbird brain gene expression has been measured in past studies. Four key problems in songbird biology are then considered from a genomics perspective: What role does differential gene expression play in the development, maintenance, and functional organization of the song control circuit? Does gene regulation set boundaries on the process of juvenile song learning? What is the purpose of song-induced gene activity in the adult brain? How does the genome underlie the profound sexual differentiation of the song control circuit? Finally, the range of genomic technologies currently or soon to be available to songbird researchers is briefly reviewed. These technologies include online databases of expressed genes ("expressed sequence tags" or ESTs); a complete library of the zebra finch genome maintained as a bacterial artificial chromosome (BAC) library; DNA microarrays for simultaneous measurement of many genes in a single experiment; and techniques for gene manipulation in the organism. Collectively, these questions and techniques define the field of songbird neurogenomics.

Key Words: gene • genome • genomics • songbird • birdsong • zebra finch • expressed sequence tag (EST) • microarray • mRNA




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