Estrildidae
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB16179 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR495329_1.fastq.gz | Fastqsanger.gz | |||
| DRR495329_2.fastq.gz | Fastqsanger.gz | |||
| DRR495330.fastq.gz | Fastqsanger.gz | |||
| DRR495330_1.fastq.gz | Fastqsanger.gz | |||
| DRR495330_2.fastq.gz | Fastqsanger.gz |
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Project description:Like human speech, birdsong is a complex vocal behavior that is acquired by sensorimotor learning based on coordination of auditory input and vocal output to mimic memorized tutor song. Here we investigate neural circuits for vocal learning and production in deafened songbirds to elucidate how sensory-input regulate genetic and epigenetic property of vocal development and its associated gene expression dynamics. Compared with audition-intact birds, in deafened zebra finches, the vocal development is delayed but song crystallization is observed at more than three times later, producing individually different but structured vocal patterns. In contrast to the distinct difference of vocal ontogeny between audition (+) and (-), unexpectedly, developmental regulation of gene expression dynamics is strictly conserved with age-locked trend in vocal motor circuit in both intact and deafened birds, indicating sensory-input independent robustness of developmental gene expression dynamics in the motor circuit for sensorimotor learning. This discrepancy between outward vocal phenotype and inward gene expression dynamics provides new insight into neural regulation at closing of the critical period for vocal learning by two different forms: auditory inputs-dependent ‘active’ crystallization and gene expression dynamics-mediated ‘passive’ crystallization.
2014-03-21 | GSE56075 | GEO
Project description:To determine what kind of genes are involved in vocal learning ability, we performed microarray experiments using 3 vocal learning species (zebra finch, budgerigar, Anna's hummingbird) and 2 non-vocal learning species(ring dive, and Japanese quail) from bird group. All of the animals are adult males. They were isolated over night and had 1hour light exposure at morning. Birds who did not sing were used in this experiment. We used 2-3 animals each species. We use arcopallium song nucleus for vocal learners and intermediate arcopallium for non-vocal learners. We used surrounding arcopallium as control area for both groups.
2011-11-30 | E-GEOD-28395 | biostudies-arrayexpress
Project description:Human speech is one of the few examples of vocal learning among mammals, yet ~half of avian species exhibit this ability. Its genetic basis is unknown beyond a shared requirement for FoxP2 in both humans and zebra finches. Here we manipulated FoxP2 isoforms in Area X during a critical period for song development, delineating, for the first time, unique contributions of each to vocal learning. We used weighted gene coexpression network analysis of RNA-seq data to construct transcriptional profiles and found gene modules correlated to singing, learning, or vocal variability. The juvenile song modules were preserved adults, whereas the learning modules were not. The learning modules were preserved in the striatopallidum adjacent to Area X whereas the song modules were not. The confluence of learning and singing coexpression in juvenile, but not adult, Area X may underscore molecular processes that drive vocal learning in zebra finches and, by analogy, humans.
2018-01-25 | GSE96843 | GEO
Project description:Like human speech, birdsong is a complex vocal behavior that is acquired by sensorimotor learning based on coordination of auditory input and vocal output to mimic memorized tutor song. Here we investigate neural circuits for vocal learning and production in deafened songbirds to elucidate how sensory-input regulate genetic and epigenetic property of vocal development and its associated gene expression dynamics. Compared with audition-intact birds, in deafened zebra finches, the vocal development is delayed but song crystallization is observed at more than three times later, producing individually different but structured vocal patterns. In contrast to the distinct difference of vocal ontogeny between audition (+) and (-), unexpectedly, developmental regulation of gene expression dynamics is strictly conserved with age-locked trend in vocal motor circuit in both intact and deafened birds, indicating sensory-input independent robustness of developmental gene expression dynamics in the motor circuit for sensorimotor learning. This discrepancy between outward vocal phenotype and inward gene expression dynamics provides new insight into neural regulation at closing of the critical period for vocal learning by two different forms: auditory inputs-dependent M-bM-^@M-^XactiveM-bM-^@M-^Y crystallization and gene expression dynamics-mediated M-bM-^@M-^XpassiveM-bM-^@M-^Y crystallization. We collected brain samples from intact and early-deafened birds (deafened at day-post hatch 17-23) under silent and dark condition. Song nuclei in vocal motor circuit, HVC and RA tissue samples (juvenile; n = 3, young; n = 3, old; n = 3 of intact and early-deafened birds for HVC and RA) were laser-microdissected from total 24 birds (intact; n = 12, early-deafened; n = 12). Each sample was hybridized to a single array, totaling 36 arrays. Birds were selected per slide such that early-deafened birds were paired with intact birds. To minimize possible interslide bias or batch effects, intact and early-deafened bird samples matching with brain area and age conditions were hybridized side by side on same array glass.
2014-03-21 | E-GEOD-56075 | biostudies-arrayexpress
Project description:Background: Vocal learning is a rare and complex behavioral trait that serves as a basis for the acquisition of human spoken language. In songbirds, vocal learning and production depend on a set of specialized brain nuclei known as the song system. Methodology/Principal Findings: Using high-throughput functional genomics we have identified, 200 novel molecular markers of adult zebra finch HVC Vocal, a key node of the song system. These markers clearly differentiate HVC from the general pallial region to which HVC belongs, and thus represent molecular specializations of this song nucleus. Bioinformatics analysis reveals that several major neuronal cell functions and specific biochemical pathways are the targets of transcriptional regulation in HVC, including: 1) cell-cell and cell-substrate interactions (e.g., cadherin/catenin-mediated adherens junctions, collagen-mediated focal adhesions, and semaphorin-neuropilin/plexin axon guidance pathways); 2) cell excitability (e.g., potassium channel subfamilies, cholinergic and serotonergic receptors, neuropeptides and neuropeptide receptors); 3) signal transduction (e.g., calcium regulatory proteins, regulators of G-protein-related signaling); 4) cell proliferation/death, migration and differentiation (e.g., TGF-beta/BMP and p53 pathways); and 5) regulation of gene expression (candidate retinoid and steroid targets, modulators of chromatin/nucleolar organization). The overall direction of regulation suggest that processes related to cell stability are enhanced, whereas proliferation, growth and plasticity are largely suppressed in adult HVC, consistent with the observation that song in this songbird species is mostly stable in adulthood. Conclusions/Significance: Our study represents one of the most comprehensive molecular genetic characterizations of a brain nucleus involved in a complex learned behavior in a vertebrate. The data indicate numerous targets for pharmacological and genetic manipulations of the song system, and provide novel insights into mechanisms that might play a role in the regulation of song behavior and/or vocal learning. Comparison of HVC and shelf regions from adult male zebra finches, 6 biological replicates per group. Each sample was hybridized against the SoNG universal reference RNA pool.
2012-03-15 | E-GEOD-36270 | biostudies-arrayexpress
Project description:Background: Vocal learning is a rare and complex behavioral trait that serves as a basis for the acquisition of human spoken language. In songbirds, vocal learning and production depend on a set of specialized brain nuclei known as the song system. Methodology/Principal Findings: Using high-throughput functional genomics we have identified, 200 novel molecular markers of adult zebra finch HVC Vocal, a key node of the song system. These markers clearly differentiate HVC from the general pallial region to which HVC belongs, and thus represent molecular specializations of this song nucleus. Bioinformatics analysis reveals that several major neuronal cell functions and specific biochemical pathways are the targets of transcriptional regulation in HVC, including: 1) cell-cell and cell-substrate interactions (e.g., cadherin/catenin-mediated adherens junctions, collagen-mediated focal adhesions, and semaphorin-neuropilin/plexin axon guidance pathways); 2) cell excitability (e.g., potassium channel subfamilies, cholinergic and serotonergic receptors, neuropeptides and neuropeptide receptors); 3) signal transduction (e.g., calcium regulatory proteins, regulators of G-protein-related signaling); 4) cell proliferation/death, migration and differentiation (e.g., TGF-beta/BMP and p53 pathways); and 5) regulation of gene expression (candidate retinoid and steroid targets, modulators of chromatin/nucleolar organization). The overall direction of regulation suggest that processes related to cell stability are enhanced, whereas proliferation, growth and plasticity are largely suppressed in adult HVC, consistent with the observation that song in this songbird species is mostly stable in adulthood. Conclusions/Significance: Our study represents one of the most comprehensive molecular genetic characterizations of a brain nucleus involved in a complex learned behavior in a vertebrate. The data indicate numerous targets for pharmacological and genetic manipulations of the song system, and provide novel insights into mechanisms that might play a role in the regulation of song behavior and/or vocal learning.
2012-03-15 | GSE36270 | GEO
Project description:How evolutionary changes in genes and neurons encode species variation in complex motor behaviors are largely unknown. Here, we develop genetic tools that permit a neural circuit comparison between the model species Drosophila melanogaster and the closely-related species D. yakuba, who has undergone a lineage-specific loss of sine song, one of the two major types of male courtship song in Drosophila. Neuroanatomical comparison of song patterning neurons called TN1 across the phylogeny demonstrates a link between the loss of sine song and a reduction both in the number of TN1 neurons and the neurites serving the sine circuit connectivity. Optogenetic activation confirms that TN1 neurons in D. yakuba have lost the ability to drive sine song, while maintaining the ability to drive the singing wing posture. Single-cell transcriptomic comparison shows that D. yakuba specifically lacks a cell type corresponding to TN1A neurons, the TN1 subtype that is essential for sine song. Genetic and developmental manipulation reveals a functional divergence of the sex determination gene doublesex in D. yakuba to reduce TN1 number by promoting apoptosis. Our work illustrates the contribution of motor patterning circuits and cell type changes in behavioral evolution, and uncovers the evolutionary lability of sex determination genes to reconfigure the cellular makeup of neural circuits.
2024-04-03 | GSE262732 | GEO
Project description:We compared the genome-wide expression profiles of two yeast species (S. cerevisiae and S. paradoxus) using a two-species microarray that contain species-specific probes and can thus measure the expression levels of the two species simultaneosly. In Addition, we used the array to measure expression levels of the interspecific hybrid of these yeast species, while discriminating between the alleles that correspond to the two parental species. Comparison of the between-species differences and the within-hybrid allele differences allows us to separate cis from trans effects. Also, comparison of the overall expression in the hybrids (both alleles) with their parental species allows us to analyze hybrid over-expression and under-expression. Keywords: comparative transcriptome analysis, hybrid gene expression
2009-04-01 | GSE14708 | GEO
Project description:The evolution of the six-layered neocortex is often credited with an increased capacity for complex behaviors and cognition in humans and other mammals. However, birds, despite lacking a laminated neocortex, display complex and non-instinctual behaviors including vocal learning, tool use, and problem-solving1,2. The evolution of brain circuits and cell-types supporting advanced behavioral repertoires remains poorly understood. Here in songbirds, we use single-cell RNA-sequencing to characterize the molecular identities of cells in the song motor pathway, a pallial circuit with function and connectivity that has been likened to the mammalian neocortex1,2. We find that each song region contains different glutamatergic excitatory projection neurons but similar sets of GABAergic inhibitory interneurons, similar to patterns of neuronal diversity in mammals and reptiles3,4. Song motor pathway glutamatergic neurons have gene expression patterns similar to those described in neocortical projection neurons, but at the level of transcription factor expression, display stronger similarity to neurons in the ventral pallium. We observed multiple GABAergic neuron classes that are conserved across amniotes, yet the most abundant class strongly resembles a cell-class that in mammals is not found in the neocortex but is present in non-neocortical pallial regions3,4. Thus, although pallial song-control regions contain neurons with similar molecular profiles to neocortical neurons, these pallial areas have a regional identity distinct from neocortex, indicating that complex behaviors such as vocal learning have evolved through the use of different brain circuits under similar functional constraints.
2021-02-12 | GSE153665 | GEO