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Featured researches published by Morgan Wirthlin.


Science | 2014

Convergent transcriptional specializations in the brains of humans and song-learning birds.

Andreas R. Pfenning; Erina Hara; Osceola Whitney; Miriam V. Rivas; Rui Wang; Petra L. Roulhac; Jason T. Howard; Morgan Wirthlin; Peter V. Lovell; Ganeshkumar Ganapathy; Jacquelyn Mouncastle; M. Arthur Moseley; J. Will Thompson; Erik J. Soderblom; Atsushi Iriki; Masaki Kato; M. Thomas P. Gilbert; Guojie Zhang; Trygve E. Bakken; Angie Bongaarts; Amy Bernard; Ed Lein; Claudio V. Mello; Alexander J. Hartemink; Erich D. Jarvis

INTRODUCTION Vocal learning, the ability to imitate sounds, is a trait that has undergone convergent evolution in several lineages of birds and mammals, including song-learning birds and humans. This behavior requires cortical and striatal vocal brain regions, which form unique connections in vocal-learning species. These regions have been found to have specialized gene expression within some species, but the patterns of specialization across vocal-learning bird and mammal species have not been systematically explored. Identifying molecular brain similarities across species. Brain region gene expression specializations were hierarchically organized into specialization trees of each species (blue lines), including for circuits that control learned vocalizations (highlighted green, purple, and orange regions). A set of comparative genomic algorithms found the most similarly specialized regions between songbird and human (orange lines), some of which are convergently evolved. RATIONALE The sequencing of genomes representing all major vocal-learning and vocal-nonlearning avian lineages has allowed us to develop the genomic tools to measure anatomical gene expression across species. Here, we asked whether behavioral and anatomical convergence is associated with gene expression convergence in the brains of vocal-learning birds and humans. RESULTS We developed a computational approach that discovers homologous and convergent specialized anatomical gene expression profiles. This includes generating hierarchically organized gene expression specialization trees for each species and a dynamic programming algorithm that finds the optimal alignment between species brain trees. We applied this approach to brain region gene expression databases of thousands of samples and genes that we and others generated from multiple species, including humans and song-learning birds (songbird, parrot, and hummingbird) as well as vocal-nonlearning nonhuman primates (macaque) and birds (dove and quail). Our results confirmed the recently revised understanding of the relationships between avian and mammalian brains. We further found that songbird Area X, a striatal region necessary for vocal learning, was most similar to a part of the human striatum activated during speech production. The RA (robust nucleus of the arcopallium) analog of song-learning birds, necessary for song production, was most similar to laryngeal motor cortex regions in humans that control speech production. More than 50 genes contributed to their convergent specialization and were enriched in motor control and neural connectivity functions. These patterns were not found in vocal nonlearners, but songbird RA was similar to layer 5 of primate motor cortex for another set of genes, supporting previous hypotheses about the similarity of these cell types between bird and mammal brains. CONCLUSION Our approach can accurately and quantitatively identify functionally and molecularly analogous brain regions between species separated by as much as 310 million years from a common ancestor. We were able to identify analogous brain regions for song and speech between birds and humans, and broader homologous brain regions in which these specialized song and speech regions are located, for tens to hundreds of genes. These genes now serve as candidates involved in developing and maintaining the unique connectivity and functional properties of vocal-learning brain circuits shared across species. The finding that convergent neural circuits for vocal learning are accompanied by convergent molecular changes of multiple genes in species separated by millions of years from a common ancestor indicates that brain circuits for complex traits may have limited ways in which they could have evolved from that ancestor. 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.


Genome Biology | 2014

Conserved syntenic clusters of protein coding genes are missing in birds

Peter V. Lovell; Morgan Wirthlin; Larry J. Wilhelm; Patrick Minx; Nathan H. Lazar; Lucia Carbone; Wesley C. Warren; Claudio V. Mello

BackgroundBirds are one of the most highly successful and diverse groups of vertebrates, having evolved a number of distinct characteristics, including feathers and wings, a sturdy lightweight skeleton and unique respiratory and urinary/excretion systems. However, the genetic basis of these traits is poorly understood.ResultsUsing comparative genomics based on extensive searches of 60 avian genomes, we have found that birds lack approximately 274 protein coding genes that are present in the genomes of most vertebrate lineages and are for the most part organized in conserved syntenic clusters in non-avian sauropsids and in humans. These genes are located in regions associated with chromosomal rearrangements, and are largely present in crocodiles, suggesting that their loss occurred subsequent to the split of dinosaurs/birds from crocodilians. Many of these genes are associated with lethality in rodents, human genetic disorders, or biological functions targeting various tissues. Functional enrichment analysis combined with orthogroup analysis and paralog searches revealed enrichments that were shared by non-avian species, present only in birds, or shared between all species.ConclusionsTogether these results provide a clearer definition of the genetic background of extant birds, extend the findings of previous studies on missing avian genes, and provide clues about molecular events that shaped avian evolution. They also have implications for fields that largely benefit from avian studies, including development, immune system, oncogenesis, and brain function and cognition. With regards to the missing genes, birds can be considered ‘natural knockouts’ that may become invaluable model organisms for several human diseases.


G3: Genes, Genomes, Genetics | 2017

A New Chicken Genome Assembly Provides Insight into Avian Genome Structure

Wesley C. Warren; LaDeana W. Hillier; Chad Tomlinson; Patrick Minx; Milinn Kremitzki; Tina Graves; Chris Markovic; Nathan Bouk; Kim D. Pruitt; Françoise Thibaud-Nissen; Valerie Schneider; Tamer Mansour; C. Titus Brown; Aleksey V. Zimin; R. J. Hawken; Mitch Abrahamsen; Alexis B. Pyrkosz; Mireille Morisson; Valerie Fillon; Alain Vignal; William Chow; Kerstin Howe; Janet E. Fulton; Marcia M. Miller; Peter V. Lovell; Claudio V. Mello; Morgan Wirthlin; Andrew S. Mason; Richard Kuo; David W. Burt

The importance of the Gallus gallus (chicken) as a model organism and agricultural animal merits a continuation of sequence assembly improvement efforts. We present a new version of the chicken genome assembly (Gallus_gallus-5.0; GCA_000002315.3), built from combined long single molecule sequencing technology, finished BACs, and improved physical maps. In overall assembled bases, we see a gain of 183 Mb, including 16.4 Mb in placed chromosomes with a corresponding gain in the percentage of intact repeat elements characterized. Of the 1.21 Gb genome, we include three previously missing autosomes, GGA30, 31, and 33, and improve sequence contig length 10-fold over the previous Gallus_gallus-4.0. Despite the significant base representation improvements made, 138 Mb of sequence is not yet located to chromosomes. When annotated for gene content, Gallus_gallus-5.0 shows an increase of 4679 annotated genes (2768 noncoding and 1911 protein-coding) over those in Gallus_gallus-4.0. We also revisited the question of what genes are missing in the avian lineage, as assessed by the highest quality avian genome assembly to date, and found that a large fraction of the original set of missing genes are still absent in sequenced bird species. Finally, our new data support a detailed map of MHC-B, encompassing two segments: one with a highly stable gene copy number and another in which the gene copy number is highly variable. The chicken model has been a critical resource for many other fields of study, and this new reference assembly will substantially further these efforts.


BMC Genomics | 2014

Comparative genomics reveals molecular features unique to the songbird lineage

Morgan Wirthlin; Peter V. Lovell; Erich D. Jarvis; Claudio V. Mello

BackgroundSongbirds (oscine Passeriformes) are among the most diverse and successful vertebrate groups, comprising almost half of all known bird species. Identifying the genomic innovations that might be associated with this success, as well as with characteristic songbird traits such as vocal learning and the brain circuits that underlie this behavior, has proven difficult, in part due to the small number of avian genomes available until recently. Here we performed a comparative analysis of 48 avian genomes to identify genomic features that are unique to songbirds, as well as an initial assessment of function by investigating their tissue distribution and predicted protein domain structure.ResultsUsing BLAT alignments and gene synteny analysis, we curated a large set of Ensembl gene models that were annotated as novel or duplicated in the most commonly studied songbird, the Zebra finch (Taeniopygia guttata), and then extended this analysis to 47 additional avian and 4 non-avian genomes. We identified 10 novel genes uniquely present in songbird genomes. A refined map of chromosomal synteny disruptions in the Zebra finch genome revealed that the majority of these novel genes localized to regions of genomic instability associated with apparent chromosomal breakpoints. Analyses of in situ hybridization and RNA-seq data revealed that a subset of songbird-unique genes is expressed in the brain and/or other tissues, and that 2 of these (YTHDC2L1 and TMRA) are highly differentially expressed in vocal learning-associated nuclei relative to the rest of the brain.ConclusionsOur study reveals novel genes unique to songbirds, including some that may subserve their unique vocal control system, substantially improves the quality of Zebra finch genome annotations, and contributes to a better understanding of how genomic features may have evolved in conjunction with the emergence of the songbird lineage.


CSH Protocols | 2014

Proper Care, Husbandry, and Breeding Guidelines for the Zebra Finch, Taeniopygia guttata

Christopher R. Olson; Morgan Wirthlin; Peter V. Lovell; Claudio V. Mello

The zebra finch Taeniopygia guttata castanotis is a songbird commonly used in the laboratory, particularly for studies of vocal learning, neurobiology, and physiology. Within the laboratory, it is important to adopt careful husbandry practices that allow for normal development of the birds. For example, their song is a learned trait, passed culturally from adult males to juveniles, and thus its learning can be influenced by the health and social conditions of the birds present in the laboratory. Here we present guidelines for the successful maintenance and breeding of captive zebra finches.


Genome Biology | 2015

Response to Hron et al.

Peter V. Lovell; Morgan Wirthlin; Lucia Carbone; Wesley C. Warren; Claudio V. Mello

AbstractHron et al. provide transcriptome evidence that three (1.1 %) of the 274 genes reported by Lovell et al. as missing in birds may actually be ‘hidden’ as a result of high GC content. Although this factor may explain some gene absences from genomic assemblies, we believe it is insufficient to account for the extensive syntenic losses described in Lovell et al. Please see related article: www.dx.doi.org/10.1186/s13059-015-0724-z


BMC Genomics | 2018

The constitutive differential transcriptome of a brain circuit for vocal learning

Peter V. Lovell; Nicole A. Huizinga; Samantha R. Friedrich; Morgan Wirthlin; Claudio V. Mello

BackgroundThe ability to imitate the vocalizations of other organisms, a trait known as vocal learning, is shared by only a few organisms, including humans, where it subserves the acquisition of speech and language, and 3 groups of birds. In songbirds, vocal learning requires the coordinated activity of a set of specialized brain nuclei referred to as the song control system. Recent efforts have revealed some of the genes that are expressed in these vocal nuclei, however a thorough characterization of the transcriptional specializations of this system is still missing. We conducted a rigorous and comprehensive analysis of microarrays, and conducted a separate analysis of 380 genes by in situ hybridizations in order to identify molecular specializations of the major nuclei of the song system of zebra finches (Taeniopygia guttata), a songbird species.ResultsOur efforts identified more than 3300 genes that are differentially regulated in one or more vocal nuclei of adult male birds compared to the adjacent brain regions. Bioinformatics analyses provided insights into the possible involvement of these genes in molecular pathways such as cellular morphogenesis, intrinsic cellular excitability, neurotransmission and neuromodulation, axonal guidance and cela-to-cell interactions, and cell survival, which are known to strongly influence the functional properties of the song system. Moreover, an in-depth analysis of specific gene families with known involvement in regulating the development and physiological properties of neuronal circuits provides further insights into possible modulators of the song system.ConclusionOur study represents one of the most comprehensive molecular characterizations of a brain circuit that evolved to facilitate a learned behavior in a vertebrate. The data provide novel insights into possible molecular determinants of the functional properties of the song control circuitry. It also provides lists of compelling targets for pharmacological and genetic manipulations to elucidate the molecular regulation of song behavior and vocal learning.


Genetics and Molecular Biology | 2015

A putative RA-like region in the brain of the scale-backed antbird, Willisornis poecilinotus (Furnariides, Suboscines, Passeriformes, Thamnophilidae)

Jamily L.R. de Lima; Fabricio A. Soares; Ana C.S. Remedios; Gregory Thom; Morgan Wirthlin; Alexandre Aleixo; Maria Paula Cruz Schneider; Claudio V. Mello; Patricia N. Schneider

The memorization and production of song in songbirds share important parallels with the process of speech acquisition in humans. In songbirds, these processes are dependent on a group of specialized telencephalic nuclei known as the song system: HVC (used as a proper name), RA (robust nucleus of arcopallium), LMAN (lateral magnocellular nucleus of the nidopallium) and striatal Area X. A recent study suggested that the arcopallium of the Sayornis phoebe, a non vocal learner suboscine species, contains a nucleus with some properties similar to those of songbird RA, suggesting that the song system may have been present in the last common ancestor of these groups. Here we report morphological and gene expression evidence that a region with some properties similar to RA is present in another suboscine, the Amazonian endemic Willisornis poecilinotus. Specifically, a discrete domain with a distinct Nissl staining pattern and that expresses the RA marker RGS4 was found in the arcopallium where the oscine RA is localized. Our findings, combined with the previous report on the S. phoebe, suggest that an arcopallial region with some RA-like properties was present in the ancestor of both Suboscines infraorders Tyranni and Furnarii, and is possibly an ancestral feature of Passeriformes.


Archive | 2018

Discovery of Novel Genes and Other Lineage-Specific Features Through Comparative Genomics

Claudio V. Mello; Peter V. Lovell; Morgan Wirthlin

Abstract We are broadly interested in how genomic features that are unique to a given species or lineage may be associated with behavioral phenotypes uniquely expressed by that species or lineage. We discuss how we utilize comparative genomics to identify novel genes or paralogs uniquely present in a given species or lineage of interest. Our strategy relies extensively on local and comparative genomic alignments of gene predictions using the BLAST-like alignment tool (BLAT), in conjunction with extensive and thorough examination of alignments and synteny to verify or disprove orthology. Follow-ups include examination of conserved domains and gene expression analysis in relevant brain circuits. We have successfully employed this strategy to identify novel genes that are uniquely present in songbirds, a vocal learning group, and expressed in their vocal control circuitry. We expect our strategy to be applicable to other models, and that its systematic application will significantly improve gene annotations in newly assembled genomes of interest.


Archive | 2018

Oligonucleotide annotations from the Agilent Songbird Oligonucleotide Array V2

Peter V. Lovell; Nicole A. Huizinga; Abel Getachew; Brianna Mees; Samantha R. Friedrich; Morgan Wirthlin; Claudio V. Mello

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Wesley C. Warren

Washington University in St. Louis

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Erich D. Jarvis

Howard Hughes Medical Institute

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Patrick Minx

Washington University in St. Louis

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