Literature DB >> 17426146

Genomic resources for songbird research and their use in characterizing gene expression during brain development.

Xiaoching Li1, Xiu-Jie Wang, Jonathan Tannenhauser, Sheila Podell, Piali Mukherjee, Moritz Hertel, Jeremy Biane, Shoko Masuda, Fernando Nottebohm, Terry Gaasterland.   

Abstract

Vocal learning and neuronal replacement have been studied extensively in songbirds, but until recently, few molecular and genomic tools for songbird research existed. Here we describe new molecular/genomic resources developed in our laboratory. We made cDNA libraries from zebra finch (Taeniopygia guttata) brains at different developmental stages. A total of 11,000 cDNA clones from these libraries, representing 5,866 unique gene transcripts, were randomly picked and sequenced from the 3' ends. A web-based database was established for clone tracking, sequence analysis, and functional annotations. Our cDNA libraries were not normalized. Sequencing ESTs without normalization produced many developmental stage-specific sequences, yielding insights into patterns of gene expression at different stages of brain development. In particular, the cDNA library made from brains at posthatching day 30-50, corresponding to the period of rapid song system development and song learning, has the most diverse and richest set of genes expressed. We also identified five microRNAs whose sequences are highly conserved between zebra finch and other species. We printed cDNA microarrays and profiled gene expression in the high vocal center of both adult male zebra finches and canaries (Serinus canaria). Genes differentially expressed in the high vocal center were identified from the microarray hybridization results. Selected genes were validated by in situ hybridization. Networks among the regulated genes were also identified. These resources provide songbird biologists with tools for genome annotation, comparative genomics, and microarray gene expression analysis.

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Year:  2007        PMID: 17426146      PMCID: PMC1850020          DOI: 10.1073/pnas.0701619104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

1.  Significance analysis of microarrays applied to the ionizing radiation response.

Authors:  V G Tusher; R Tibshirani; G Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-17       Impact factor: 11.205

2.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

3.  A relationship between behavior, neurotrophin expression, and new neuron survival.

Authors:  X C Li; E D Jarvis; B Alvarez-Borda; D A Lim; F Nottebohm
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-18       Impact factor: 11.205

Review 4.  Why are some neurons replaced in adult brain?

Authors:  Fernando Nottebohm
Journal:  J Neurosci       Date:  2002-02-01       Impact factor: 6.167

5.  A uniform system for microRNA annotation.

Authors:  Victor Ambros; Bonnie Bartel; David P Bartel; Christopher B Burge; James C Carrington; Xuemei Chen; Gideon Dreyfuss; Sean R Eddy; Sam Griffiths-Jones; Mhairi Marshall; Marjori Matzke; Gary Ruvkun; Thomas Tuschl
Journal:  RNA       Date:  2003-03       Impact factor: 4.942

6.  Mfold web server for nucleic acid folding and hybridization prediction.

Authors:  Michael Zuker
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

7.  An ultra-sparse code underlies the generation of neural sequences in a songbird.

Authors:  Richard H R Hahnloser; Alexay A Kozhevnikov; Michale S Fee
Journal:  Nature       Date:  2002-09-05       Impact factor: 49.962

8.  Identification of tissue-specific microRNAs from mouse.

Authors:  Mariana Lagos-Quintana; Reinhard Rauhut; Abdullah Yalcin; Jutta Meyer; Winfried Lendeckel; Thomas Tuschl
Journal:  Curr Biol       Date:  2002-04-30       Impact factor: 10.834

9.  Direct evidence for loss and replacement of projection neurons in adult canary brain.

Authors:  J R Kirn; F Nottebohm
Journal:  J Neurosci       Date:  1993-04       Impact factor: 6.167

10.  Transgenic mice expressing a mutant form of loricrin reveal the molecular basis of the skin diseases, Vohwinkel syndrome and progressive symmetric erythrokeratoderma.

Authors:  Y Suga; M Jarnik; P S Attar; M A Longley; D Bundman; A C Steven; P J Koch; D R Roop
Journal:  J Cell Biol       Date:  2000-10-16       Impact factor: 10.539

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  30 in total

1.  Transgenic songbirds offer an opportunity to develop a genetic model for vocal learning.

Authors:  R J Agate; B B Scott; B Haripal; C Lois; F Nottebohm
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-07       Impact factor: 11.205

2.  Dynamic gene expression in the song system of zebra finches during the song learning period.

Authors:  Christopher R Olson; Lisa K Hodges; Claudio V Mello
Journal:  Dev Neurobiol       Date:  2015-03-20       Impact factor: 3.964

Review 3.  The zebra finch, Taeniopygia guttata: an avian model for investigating the neurobiological basis of vocal learning.

Authors:  Claudio V Mello
Journal:  Cold Spring Harb Protoc       Date:  2014-10-23

Review 4.  Singing under the influence: examining the effects of nutrition and addiction on a learned vocal behavior.

Authors:  Peter V Lovell; Christopher R Olson; Claudio V Mello
Journal:  Mol Neurobiol       Date:  2011-02-23       Impact factor: 5.590

5.  ZEBrA: Zebra finch Expression Brain Atlas-A resource for comparative molecular neuroanatomy and brain evolution studies.

Authors:  Peter V Lovell; Morgan Wirthlin; Taylor Kaser; Alexa A Buckner; Julia B Carleton; Brian R Snider; Anne K McHugh; Alexander Tolpygo; Partha P Mitra; Claudio V Mello
Journal:  J Comp Neurol       Date:  2020-02-19       Impact factor: 3.215

6.  Genomic evidence for a large-Z effect.

Authors:  Hans Ellegren
Journal:  Proc Biol Sci       Date:  2009-01-22       Impact factor: 5.349

Review 7.  Genome of a songbird unveiled.

Authors:  Raphael Pinaud
Journal:  J Biol       Date:  2010-04-01

8.  Expression of reelin, its receptors and its intracellular signaling protein, Disabled1 in the canary brain: relationships with the song control system.

Authors:  J Balthazart; C Voigt; G Boseret; G F Ball
Journal:  Neuroscience       Date:  2008-02-21       Impact factor: 3.590

9.  Digital atlas of the zebra finch (Taeniopygia guttata) brain: a high-resolution photo atlas.

Authors:  Harvey J Karten; Agnieszka Brzozowska-Prechtl; Peter V Lovell; Daniel D Tang; Claudio V Mello; Haibin Wang; Partha P Mitra
Journal:  J Comp Neurol       Date:  2013-11       Impact factor: 3.215

Review 10.  The opportunities and challenges of large-scale molecular approaches to songbird neurobiology.

Authors:  C V Mello; D F Clayton
Journal:  Neurosci Biobehav Rev       Date:  2014-10-02       Impact factor: 8.989

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