Browsing by Author "Whitney, Osceola"

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Open Access
A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes.
(Proc Natl Acad Sci U S A, 2006-10-10) Wada, Kazuhiro; Howard, Jason T; McConnell, Patrick; Whitney, Osceola; Lints, Thierry; Rivas, Miriam V; Horita, Haruhito; Patterson, Michael A; White, Stephanie A; Scharff, Constance; Haesler, Sebastian; Zhao, Shengli; Sakaguchi, Hironobu; Hagiwara, Masatoshi; Shiraki, Toshiyuki; Hirozane-Kishikawa, Tomoko; Skene, Pate; Hayashizaki, Yoshihide; Carninci, Piero; Jarvis, Erich D
Songbirds have one of the most accessible neural systems for the study of brain mechanisms of behavior. However, neuroethological studies in songbirds have been limited by the lack of high-throughput molecular resources and gene-manipulation tools. To overcome these limitations, we constructed 21 regular, normalized, and subtracted full-length cDNA libraries from brains of zebra finches in 57 developmental and behavioral conditions in an attempt to clone as much of the brain transcriptome as possible. From these libraries, approximately 14,000 transcripts were isolated, representing an estimated 4,738 genes. With the cDNAs, we created a hierarchically organized transcriptome database and a large-scale songbird brain cDNA microarray. We used the arrays to reveal a set of 33 genes that are regulated in forebrain vocal nuclei by singing behavior. These genes clustered into four anatomical and six temporal expression patterns. Their functions spanned a large range of cellular and molecular categories, from signal transduction, trafficking, and structural, to synaptically released molecules. With the full-length cDNAs and a lentiviral vector system, we were able to overexpress, in vocal nuclei, proteins of representative singing-regulated genes in the absence of singing. This publicly accessible resource http://songbirdtranscriptome.net can now be used to study molecular neuroethological mechanisms of behavior.
Open Access
Comparative genomics based on massive parallel transcriptome sequencing reveals patterns of substitution and selection across 10 bird species.
(Mol Ecol, 2010-03) Künstner, Axel; Wolf, Jochen BW; Backström, Niclas; Whitney, Osceola; Balakrishnan, Christopher N; Day, Lainy; Edwards, Scott V; Janes, Daniel E; Schlinger, Barney A; Wilson, Richard K; Jarvis, Erich D; Warren, Wesley C; Ellegren, Hans
Next-generation sequencing technology provides an attractive means to obtain large-scale sequence data necessary for comparative genomic analysis. To analyse the patterns of mutation rate variation and selection intensity across the avian genome, we performed brain transcriptome sequencing using Roche 454 technology of 10 different non-model avian species. Contigs from de novo assemblies were aligned to the two available avian reference genomes, chicken and zebra finch. In total, we identified 6499 different genes across all 10 species, with approximately 1000 genes found in each full run per species. We found evidence for a higher mutation rate of the Z chromosome than of autosomes (male-biased mutation) and a negative correlation between the neutral substitution rate (d(S)) and chromosome size. Analyses of the mean d(N)/d(S) ratio (omega) of genes across chromosomes supported the Hill-Robertson effect (the effect of selection at linked loci) and point at stochastic problems with omega as an independent measure of selection. Overall, this study demonstrates the usefulness of next-generation sequencing for obtaining genomic resources for comparative genomic analysis of non-model organisms.
Open Access
Comparative genomics reveals insights into avian genome evolution and adaptation.
(Science, 2014-12-12) Zhang, Guojie; Li, Cai; Li, Qiye; Li, Bo; Larkin, Denis M; Lee, Chul; Storz, Jay F; Antunes, Agostinho; Greenwold, Matthew J; Meredith, Robert W; Ödeen, Anders; Cui, Jie; Zhou, Qi; Xu, Luohao; Pan, Hailin; Wang, Zongji; Jin, Lijun; Zhang, Pei; Hu, Haofu; Yang, Wei; Hu, Jiang; Xiao, Jin; Yang, Zhikai; Liu, Yang; Xie, Qiaolin; Yu, Hao; Lian, Jinmin; Wen, Ping; Zhang, Fang; Li, Hui; Zeng, Yongli; Xiong, Zijun; Liu, Shiping; Zhou, Long; Huang, Zhiyong; An, Na; Wang, Jie; Zheng, Qiumei; Xiong, Yingqi; Wang, Guangbiao; Wang, Bo; Wang, Jingjing; Fan, Yu; da Fonseca, Rute R; Alfaro-Núñez, Alonzo; Schubert, Mikkel; Orlando, Ludovic; Mourier, Tobias; Howard, Jason T; Ganapathy, Ganeshkumar; Pfenning, Andreas; Whitney, Osceola; Rivas, Miriam V; Hara, Erina; Smith, Julia; Farré, Marta; Narayan, Jitendra; Slavov, Gancho; Romanov, Michael N; Borges, Rui; Borges, Rui; Machado, João Paulo; Khan, Imran; Springer, Mark S; Gatesy, John; Hoffmann, Federico G; Opazo, Juan C; Håstad, Olle; Sawyer, Roger H; Kim, Heebal; Kim, Kyu-Won; Kim, Hyeon Jeong; Cho, Seoae; Li, Ning; Huang, Yinhua; Bruford, Michael W; Zhan, Xiangjiang; Dixon, Andrew; Bertelsen, Mads F; Derryberry, Elizabeth; Warren, Wesley; Wilson, Richard K; Li, Shengbin; Ray, David A; Green, Richard E; O'Brien, Stephen J; Griffin, Darren; Johnson, Warren E; Haussler, David; Ryder, Oliver A; Willerslev, Eske; Graves, Gary R; Alström, Per; Fjeldså, Jon; Mindell, David P; Edwards, Scott V; Braun, Edward L; Rahbek, Carsten; Burt, David W; Houde, Peter; Zhang, Yong; Yang, Huanming; Wang, Jian; Avian Genome Consortium; Jarvis, Erich D; Gilbert, M Thomas P; Wang, Jun
Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.
Open Access
Convergent transcriptional specializations in the brains of humans and song-learning birds.
(Science, 2014-12-12) Pfenning, Andreas R; Hara, Erina; Whitney, Osceola; Rivas, Miriam V; Wang, Rui; Roulhac, Petra L; Howard, Jason T; Wirthlin, Morgan; Lovell, Peter V; Ganapathy, Ganeshkumar; Mouncastle, Jacquelyn; Moseley, M Arthur; Thompson, J Will; Soderblom, Erik J; Iriki, Atsushi; Kato, Masaki; Gilbert, M Thomas P; Zhang, Guojie; Bakken, Trygve; Bongaarts, Angie; Bernard, Amy; Lein, Ed; Mello, Claudio V; Hartemink, Alexander J; Jarvis, Erich D
Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential for song and speech and are not found in most other species. Comparisons of brain transcriptomes of song-learning birds and humans relative to vocal nonlearners identified convergent gene expression specializations in specific song and speech brain regions of avian vocal learners and humans. The strongest shared profiles relate bird motor and striatal song-learning nuclei, respectively, with human laryngeal motor cortex and parts of the striatum that control speech production and learning. Most of the associated genes function in motor control and brain connectivity. Thus, convergent behavior and neural connectivity for a complex trait are associated with convergent specialized expression of multiple genes.
Open Access
Core and region-enriched networks of behaviorally regulated genes and the singing genome.
(Science, 2014-12-12) Whitney, Osceola; Pfenning, Andreas R; Howard, Jason T; Blatti, Charles A; Liu, Fang; Ward, James M; Wang, Rui; Audet, Jean-Nicoles; Kellis, Manolis; Mukherjee, Sayan; Sinha, Saurabh; Hartemink, Alexander J; West, Anne E; Jarvis, Erich D
Songbirds represent an important model organism for elucidating molecular mechanisms that link genes with complex behaviors, in part because they have discrete vocal learning circuits that have parallels with those that mediate human speech. We found that ~10% of the genes in the avian genome were regulated by singing, and we found a striking regional diversity of both basal and singing-induced programs in the four key song nuclei of the zebra finch, a vocal learning songbird. The region-enriched patterns were a result of distinct combinations of region-enriched transcription factors (TFs), their binding motifs, and presinging acetylation of histone 3 at lysine 27 (H3K27ac) enhancer activity in the regulatory regions of the associated genes. RNA interference manipulations validated the role of the calcium-response transcription factor (CaRF) in regulating genes preferentially expressed in specific song nuclei in response to singing. Thus, differential combinatorial binding of a small group of activity-regulated TFs and predefined epigenetic enhancer activity influences the anatomical diversity of behaviorally regulated gene networks.
Restricted
Global view of the functional molecular organization of the avian cerebrum: mirror images and functional columns.
(J Comp Neurol, 2013-11) Jarvis, Erich D; Yu, Jing; Rivas, Miriam V; Horita, Haruhito; Feenders, Gesa; Whitney, Osceola; Jarvis, Syrus C; Jarvis, Electra R; Kubikova, Lubica; Puck, Ana EP; Siang-Bakshi, Connie; Martin, Suzanne; McElroy, Michael; Hara, Erina; Howard, Jason; Pfenning, Andreas; Mouritsen, Henrik; Chen, Chun-Chun; Wada, Kazuhiro
Based on quantitative cluster analyses of 52 constitutively expressed or behaviorally regulated genes in 23 brain regions, we present a global view of telencephalic organization of birds. The patterns of constitutively expressed genes revealed a partial mirror image organization of three major cell populations that wrap above, around, and below the ventricle and adjacent lamina through the mesopallium. The patterns of behaviorally regulated genes revealed functional columns of activation across boundaries of these cell populations, reminiscent of columns through layers of the mammalian cortex. The avian functionally regulated columns were of two types: those above the ventricle and associated mesopallial lamina, formed by our revised dorsal mesopallium, hyperpallium, and intercalated hyperpallium; and those below the ventricle, formed by our revised ventral mesopallium, nidopallium, and intercalated nidopallium. Based on these findings and known connectivity, we propose that the avian pallium has four major cell populations similar to those in mammalian cortex and some parts of the amygdala: 1) a primary sensory input population (intercalated pallium); 2) a secondary intrapallial population (nidopallium/hyperpallium); 3) a tertiary intrapallial population (mesopallium); and 4) a quaternary output population (the arcopallium). Each population contributes portions to columns that control different sensory or motor systems. We suggest that this organization of cell groups forms by expansion of contiguous developmental cell domains that wrap around the lateral ventricle and its extension through the middle of the mesopallium. We believe that the position of the lateral ventricle and its associated mesopallium lamina has resulted in a conceptual barrier to recognizing related cell groups across its border, thereby confounding our understanding of homologies with mammals.
Open Access
The genome of a songbird.
(Nature, 2010-04-01) Warren, Wesley C; Clayton, David F; Ellegren, Hans; Arnold, Arthur P; Hillier, Ladeana W; Künstner, Axel; Searle, Steve; White, Simon; Vilella, Albert J; Fairley, Susan; Heger, Andreas; Kong, Lesheng; Ponting, Chris P; Jarvis, Erich D; Mello, Claudio V; Minx, Pat; Lovell, Peter; Velho, Tarciso AF; Ferris, Margaret; Balakrishnan, Christopher N; Sinha, Saurabh; Blatti, Charles; London, Sarah E; Li, Yun; Lin, Ya-Chi; George, Julia; Sweedler, Jonathan; Southey, Bruce; Gunaratne, Preethi; Watson, Michael; Nam, Kiwoong; Backström, Niclas; Smeds, Linnea; Nabholz, Benoit; Itoh, Yuichiro; Whitney, Osceola; Pfenning, Andreas R; Howard, Jason; Völker, Martin; Skinner, Bejamin M; Griffin, Darren K; Ye, Liang; McLaren, William M; Flicek, Paul; Quesada, Victor; Velasco, Gloria; Lopez-Otin, Carlos; Puente, Xose S; Olender, Tsviya; Lancet, Doron; Smit, Arian FA; Hubley, Robert; Konkel, Miriam K; Walker, Jerilyn A; Batzer, Mark A; Gu, Wanjun; Pollock, David D; Chen, Lin; Cheng, Ze; Eichler, Evan E; Stapley, Jessica; Slate, Jon; Ekblom, Robert; Birkhead, Tim; Burke, Terry; Burt, David; Scharff, Constance; Adam, Iris; Richard, Hugues; Sultan, Marc; Soldatov, Alexey; Lehrach, Hans; Edwards, Scott V; Yang, Shiaw-Pyng; Li, Xiaoching; Graves, Tina; Fulton, Lucinda; Nelson, Joanne; Chinwalla, Asif; Hou, Shunfeng; Mardis, Elaine R; Wilson, Richard K
The zebra finch is an important model organism in several fields with unique relevance to human neuroscience. Like other songbirds, the zebra finch communicates through learned vocalizations, an ability otherwise documented only in humans and a few other animals and lacking in the chicken-the only bird with a sequenced genome until now. Here we present a structural, functional and comparative analysis of the genome sequence of the zebra finch (Taeniopygia guttata), which is a songbird belonging to the large avian order Passeriformes. We find that the overall structures of the genomes are similar in zebra finch and chicken, but they differ in many intrachromosomal rearrangements, lineage-specific gene family expansions, the number of long-terminal-repeat-based retrotransposons, and mechanisms of sex chromosome dosage compensation. We show that song behaviour engages gene regulatory networks in the zebra finch brain, altering the expression of long non-coding RNAs, microRNAs, transcription factors and their targets. We also show evidence for rapid molecular evolution in the songbird lineage of genes that are regulated during song experience. These results indicate an active involvement of the genome in neural processes underlying vocal communication and identify potential genetic substrates for the evolution and regulation of this behaviour.