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Molecular specializations of deep cortical layer analogs in songbirds.
Nevue, Alexander A; Lovell, Peter V; Wirthlin, Morgan; Mello, Claudio V.
Afiliação
  • Nevue AA; Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA.
  • Lovell PV; Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA.
  • Wirthlin M; Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA.
  • Mello CV; Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA. melloc@ohsu.edu.
Sci Rep ; 10(1): 18767, 2020 10 30.
Article em En | MEDLINE | ID: mdl-33127988
ABSTRACT
How the evolution of complex behavioral traits is associated with the emergence of novel brain pathways is largely unknown. Songbirds, like humans, learn vocalizations via tutor imitation and possess a specialized brain circuitry to support this behavior. In a comprehensive in situ hybridization effort, we show that the zebra finch vocal robust nucleus of the arcopallium (RA) shares numerous markers (e.g. SNCA, PVALB) with the adjacent dorsal intermediate arcopallium (AId), an avian analog of mammalian deep cortical layers with involvement in motor function. We also identify markers truly unique to RA and thus likely linked to modulation of vocal motor function (e.g. KCNC1, GABRE), including a subset of the known shared markers between RA and human laryngeal motor cortex (e.g. SLIT1, RTN4R, LINGO1, PLXNC1). The data provide novel insights into molecular features unique to vocal learning circuits, and lend support for the motor theory for vocal learning origin.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tentilhões / Córtex Motor Limite: Animals Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tentilhões / Córtex Motor Limite: Animals Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article