Seasonal Changes in Patterns of Gene Expression in Avian Song Control Brain Regions
Ontology highlight
ABSTRACT:
ORGANISM(S): Taeniopygia guttata
SUBMITTER: Kirstin Replogle
PROVIDER: E-GEOD-28347 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Songbirds provide rich natural models for studying the relationships of brain anatomy, behavioral function, environmental signals and gene expression. Under the Songbird Neurogenomics Initiative, investigators from more than a dozen laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by the 18,848 non-redundant cDNAs spotted on the microarray. Social and environmental manipulations had highly variable impact, ranging from nil in some cases to robust in others. Several specific genes were identified as points of interest in the evolution of mechanisms by which environmental signals influence behavior. The data were also analyzed using Weighted Gene Co-expression Network Analysis (WGCNA) followed by Gene Ontology (GO) analysis. This revealed modules of co-regulated genes that are also enriched for specific functional annotations such as M-bM-^@M-^\ribosomeM-bM-^@M-^] (expressed more highly in juvenile brain) and M-bM-^@M-^\dopamine metabolic processM-bM-^@M-^] (expressed more highly in striatal song control nucleus Area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience. RNA samples were collected from six different songbird species (phylogeny in SI Appendix, Figure S1) and representing 80 different M-bM-^@M-^\treatmentsM-bM-^@M-^], i.e., combinations of species, brain region, sex, age, and behavioral state. The tissue samples were organized around 15 standalone experiments (Table 1 and SI Appendix, Table S1), contributed by investigators in a dozen different laboratories but analyzed under uniform conditions in a single laboratory as originally planned under the Songbird Neurogenomics Initiative. Each sample was hybridized to a zebra finch cDNA array along with a universal reference (a pool of zebra finch telencephalic RNA). e01: Brain regions HVC and RA were collected from Gambel's White crowned sparrows (Zonotrichia leucophrys gambelii) from the following experimental groups: long-term Short Day (SD); Long Day (LD) with Testosterone (T) for 3, 7, and 21 days (3LD+T, 7LD+T, 21LD+T respectively); SD and removal of T at 1 and 2 days (1SD-T, 2SD-T). Six biological replicates per group, five biological replicates in 3LD+T.HVC group. All samples were hybridized against the SoNG universal reference RNA pool.
2012-05-30 | E-GEOD-36705 | biostudies-arrayexpress
Project description:Photoperiod and hormonal cues drive dramatic seasonal changes in structure and function of the avian song control system. Little is known, however, about the patterns of gene expression associated with seasonal changes. Here we address this issue by exposing Gambel’s white-crowned sparrows to season-appropriate cues and extracting RNA from the telencephalic song control nuclei HVC and RA across multiple time points that capture different stages of growth and regression. We chose HVC and RA because while both nuclei change in volume across seasons, the cellular mechanisms underlying these changes differ. We thus hypothesized that different genes would be expressed between HVC and RA. We tested this by using the extracted RNA to perform a cDNA microarray hybridization developed by the SoNG initiative. We then validated these results using qRT-PCR. Supporting our hypothesis, only 59 of the 363 genes of interest were found to vary by more than |1.5| fold in expression in both nuclei, while 132 gene expression changes were HVC specific and 172 genes were RA specific. We then assigned many of these genes to functional categories relevant to the different mechanisms underlying seasonal change in HVC and RA, including neurogenesis, apoptosis, cell growth, dendrite arborization and axonal growth, angiogenesis, endocrinology, growth factors, and electrophysiology. This revealed categorical differences in the kinds of genes regulated in HVC and RA. These results show that different molecular programs underlie seasonal changes in HVC and RA, and that gene expression is time specific across different reproductive conditions. Our results provide insights into the complex molecular pathways that underlie adult neural plasticity.
2012-10-01 | GSE28347 | GEO
Project description:Male song sparrows (Melospiza melodia) are territorial year-round; however, neuroendocrine responses to simulated territorial intrusion (STI) differ between breeding (spring) and non-breeding seasons (autumn). In spring, exposure to STI leads to increases in luteinizing hormone and testosterone, but not in autumn. These observations suggest that there are fundamental differences in the mechanisms driving neuroendocrine responses to STI between seasons. Microarrays, spotted with EST cDNA clones of zebra finch, were used to explore gene expression profiles in the hypothalamus after territorial aggression in two different seasons. Free-living territorial male song sparrows were exposed to either conspecific or heterospecific (control) males in an STI in spring and autumn. Behavioral data were recorded, whole hypothalami were collected, and microarray hybridizations were performed. Quantitative PCR was performed for validation. Our results show 262 cDNAs were differentially expressed between spring and autumn in the control birds. There were 173 cDNAs significantly affected by STI in autumn; however, only 67 were significantly affected by STI in spring. There were 88 cDNAs that showed significant interactions in both season and STI. Results suggest that STI drives differential genomic responses in the hypothalamus in the spring vs. autumn. The number of cDNAs differentially expressed in relation to season was greater than in relation to social interactions, suggesting major underlying seasonal effects in the hypothalamus which may determine the differential response upon social interaction. Functional pathway analyses implicated genes that regulate thyroid hormone action and neuroplasticity as targets of this neuroendocrine regulation. For condition experiment, SC (spring control), AC (autumn control), SE (spring STI), AE (autumn STI) Biological replicates: 7 in SC, 8 in AC, SE, AE. One Melospiza melodia subject and one universal SoNG reference (pooled Taeniopygia guttata brain) per array.
2010-05-18 | E-GEOD-18970 | biostudies-arrayexpress
Project description:New experiences can trigger changes in gene expression in the brain. To understand this phenomenon better, we studied zebra finches hearing playbacks of birdsong. Earlier research had shown that initial playbacks of a novel song transiently increase the ZENK (ZIF-268, EGR1, NGFIA, KROX-24) mRNA in the auditory forebrain, but the response selectively habituates after repetition of the stimulus. Here, using DNA microarray analysis, we show that novel song exposure induces rapid changes in thousands of RNAs, with even more RNAs decreasing than increasing. Habituation training leads to the emer- gence of a different gene expression profile a day later, accompanied by loss of essentially all of the rapid "novel" molecular responses. The novel molecular profile is characterized by increases in genes involved in transcription and RNA processing and decreases in ion channels and putative noncoding RNAs. The M-bM-^@M-^XM-bM-^@M-^XhabituatedM-bM-^@M-^YM-bM-^@M-^Y profile is dominated by changes in genes for mitochondrial proteins. A parallel proteomic analysis [2-dimensional difference gel electrophoresis (2D-DIGE) and sequencing by mass spectrometry] also detected changes in mito- chondrial proteins, and direct enzyme assay demonstrated changes in both complexes I and IV in the habituated state. Thus a natural experience, in this case hearing the sound of birdsong, can lead to major shifts in energetics and macromolecular metabolism in higher centers in the brain. Adult male zebra finches were acoustically isolated and exposed to silence, novel song, or familiar song (exposure to testing song for 3 hours on the day prior to testing) on test day. The auditory lobule (AL) was collected 30 minutes after the onset of the testing experience. All samples were hybridized against the universal SoNG reference RNA pool, 6 biological replicates per group in each of 3 groups.
2012-03-15 | E-GEOD-36269 | biostudies-arrayexpress
Project description:A male zebra finch begins to learn to sing by memorizing a tutorM-bM-^@M-^Ys song during a sensitive period in juvenile development. Tutor song memorization requires molecular signaling within the auditory forebrain. Using microarray and in situ hybridizations, we tested whether the auditory forebrain at an age just before tutoring expresses a different set of genes compared with later life after song learning has ceased. Microarray analysis revealed differences in expression of thousands of genes in the male auditory forebrain at posthatch day 20 (P20) compared with adulthood. Furthermore, song playbacks had essentially no impact on gene expression in P20 auditory forebrain, but altered expression of hundreds of genes in adults. Most genes that were song-responsive in adults were expressed at constitutively high levels at P20. Using in situ hybridization with a representative sample of 44 probes, we confirmed these effects and found that birds at P20 and P45 were similar in their gene expression patterns. Additionally, eight of the probes showed maleM-bM-^@M-^Sfemale differences in expression. We conclude that the developing auditory forebrain is in a very different molecular state from the adult, despite its relatively mature gross morphology and electrophysiological responsiveness to song stimuli. Developmental gene expression changes may contribute to fine-tuning of cellular and molecular properties necessary for song learning. Post-hatch day 20 male zebra finches that had been raised in acoustic isolation with a foster female or adult male zebra finches were placed in a song playback chamber. The next day, birds heard either silence (control) or 30 minutes of novel song. All samples were hybridized against the universal SoNG RNA reference pool, 6 biological replicates per group in each of 4 groups.
2012-03-24 | E-GEOD-36657 | biostudies-arrayexpress
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:Songbirds provide rich natural models for studying the relationships of brain anatomy, behavioral function, environmental signals and gene expression. Under the Songbird Neurogenomics Initiative, investigators from more than a dozen laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by the 18,848 non-redundant cDNAs spotted on the microarray. Social and environmental manipulations had highly variable impact, ranging from nil in some cases to robust in others. Several specific genes were identified as points of interest in the evolution of mechanisms by which environmental signals influence behavior. The data were also analyzed using Weighted Gene Co-expression Network Analysis (WGCNA) followed by Gene Ontology (GO) analysis. This revealed modules of co-regulated genes that are also enriched for specific functional annotations such as M-bM-^@M-^\ribosomeM-bM-^@M-^] (expressed more highly in juvenile brain) and M-bM-^@M-^\dopamine metabolic processM-bM-^@M-^] (expressed more highly in striatal song control nucleus Area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience. RNA samples were collected from six different songbird species (phylogeny in SI Appendix, Figure S1) and representing 80 different M-bM-^@M-^\treatmentsM-bM-^@M-^], i.e., combinations of species, brain region, sex, age, and behavioral state. The tissue samples were organized around 15 standalone experiments (Table 1 and SI Appendix, Table S1), contributed by investigators in a dozen different laboratories but analyzed under uniform conditions in a single laboratory as originally planned under the Songbird Neurogenomics Initiative. Each sample was hybridized to a zebra finch cDNA array along with a universal reference (a pool of zebra finch telencephalic RNA). e11: Auditory lobules (AL) were collected from adult male zebra finches (Taeniopygia guttata) after 30 minutes of novel or familiar song playback, or silence control.
2012-05-30 | E-GEOD-36740 | biostudies-arrayexpress
Project description:Songbirds provide rich natural models for studying the relationships of brain anatomy, behavioral function, environmental signals and gene expression. Under the Songbird Neurogenomics Initiative, investigators from more than a dozen laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by the 18,848 non-redundant cDNAs spotted on the microarray. Social and environmental manipulations had highly variable impact, ranging from nil in some cases to robust in others. Several specific genes were identified as points of interest in the evolution of mechanisms by which environmental signals influence behavior. The data were also analyzed using Weighted Gene Co-expression Network Analysis (WGCNA) followed by Gene Ontology (GO) analysis. This revealed modules of co-regulated genes that are also enriched for specific functional annotations such as M-bM-^@M-^\ribosomeM-bM-^@M-^] (expressed more highly in juvenile brain) and M-bM-^@M-^\dopamine metabolic processM-bM-^@M-^] (expressed more highly in striatal song control nucleus Area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience. RNA samples were collected from six different songbird species (phylogeny in SI Appendix, Figure S1) and representing 80 different M-bM-^@M-^\treatmentsM-bM-^@M-^], i.e., combinations of species, brain region, sex, age, and behavioral state. The tissue samples were organized around 15 standalone experiments (Table 1 and SI Appendix, Table S1), contributed by investigators in a dozen different laboratories but analyzed under uniform conditions in a single laboratory as originally planned under the Songbird Neurogenomics Initiative. Each sample was hybridized to a zebra finch cDNA array along with a universal reference (a pool of zebra finch telencephalic RNA). e14: Hypothalamus from adult male Song sparrows 30 minutes after Simulated Territorial Intrusion (STI) or control, in spring and fall, 8 biological replicates per group (only 7 biological replicates in Spring Control group). All samples were hybridized against the SoNG universal RNA reference pool.
2012-05-30 | E-GEOD-36746 | biostudies-arrayexpress
Project description:Songbirds provide rich natural models for studying the relationships of brain anatomy, behavioral function, environmental signals and gene expression. Under the Songbird Neurogenomics Initiative, investigators from more than a dozen laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by the 18,848 non-redundant cDNAs spotted on the microarray. Social and environmental manipulations had highly variable impact, ranging from nil in some cases to robust in others. Several specific genes were identified as points of interest in the evolution of mechanisms by which environmental signals influence behavior. The data were also analyzed using Weighted Gene Co-expression Network Analysis (WGCNA) followed by Gene Ontology (GO) analysis. This revealed modules of co-regulated genes that are also enriched for specific functional annotations such as M-bM-^@M-^\ribosomeM-bM-^@M-^] (expressed more highly in juvenile brain) and M-bM-^@M-^\dopamine metabolic processM-bM-^@M-^] (expressed more highly in striatal song control nucleus Area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience. RNA samples were collected from six different songbird species (phylogeny in SI Appendix, Figure S1) and representing 80 different M-bM-^@M-^\treatmentsM-bM-^@M-^], i.e., combinations of species, brain region, sex, age, and behavioral state. The tissue samples were organized around 15 standalone experiments (Table 1 and SI Appendix, Table S1), contributed by investigators in a dozen different laboratories but analyzed under uniform conditions in a single laboratory as originally planned under the Songbird Neurogenomics Initiative. Each sample was hybridized to a zebra finch cDNA array along with a universal reference (a pool of zebra finch telencephalic RNA). e12: AL (auditory lobule) from post-hatch day 20 male zebra finches after 30 minutes of novel song playback or silence control, 6 biological replicates per group. All samples were hybridized against the SoNG universal RNA pool.
2012-05-30 | E-GEOD-36742 | biostudies-arrayexpress
Project description:Within the overall project, we performed a set of microarrays to validate RNAseq data (submitted to EBI: PRJEB4463). In this data set, we compare the expression data of song nuclei to the optical tectrum dissected from adult canaries housed at long day cycles to identify nuclei specific genes. 18 total S. canaria samples were analyzed, 6 HVC samples, 5 RA samles and 7 Entopallium samples. The differential expression was analyzed using the group-wise exhaustive analysis with False Discovery Rate set to zero and 10-significant probe minimum coverage, HVc/RA compared to entopallium samples. ChipInspector carries out significance analysis on the single probe level (directly generated from the CEL files). Thus, normalized probe set level data for individual Sample records are not available. Processed data files containing transcripts and the fold changes are available on Series record.
2013-08-22 | E-GEOD-50070 | biostudies-arrayexpress