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Fong WL, Kuo HY, Wu HL, Chen SY, Liu FC. Differential and Overlapping Pattern of Foxp1 and Foxp2 Expression in the Striatum of Adult Mouse Brain. Neuroscience 2018; 388:214-223. [PMID: 30031127 DOI: 10.1016/j.neuroscience.2018.07.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 07/04/2018] [Accepted: 07/10/2018] [Indexed: 01/06/2023]
Abstract
Genetic mutations of FOXP1 and FOXP2 are associated with neurodevelopmental diseases. It is important to characterize the cell types that express Foxp1 and Foxp2 in the brain. Foxp1 and Foxp2 are expressed at high levels in the striatum of mouse brains. There are two populations of striatal projection neurons (SPNs), dopamine D1 receptor (D1R)-expressing striatonigral neurons and D2 receptor (D2R)-expressing striatopallidal neurons. In addition to SPNs, there are different types of striatal interneurons. Here, we quantitatively analyze the expression pattern of Foxp1 and Foxp2 with respect to specific cell types of projection neurons and interneurons in the striatum of adult mouse brains. Double immunostaining and in situ hybridization showed that Foxp1 and Foxp2 were specifically expressed in SPNs, but not in interneurons. For Foxp1, 50-57% of Foxp1-positive neurons co-expressed D1R mRNA, and 45-52% of Foxp1-positive neurons co-expressed D2R mRNA in the striatum at rostrocaudal levels. For Foxp2, 65-77% of Foxp2-positive neurons co-expressed D1R mRNA, and 21-26% of Foxp2-positive neurons co-expressed D2R mRNA in the striatum at rostrocaudal levels. Neither Foxp1 nor Foxp2 was found to co-localize with parvalbumin, somatostatin, nNOS, calretinin and ChAT in interneurons of the striatum. Moreover, none of parvalbumin-, somatostatin-, nNOS-, and calretinin-positive interneurons co-expressed Foxp1 or Foxp2 in the cerebral cortex. As Foxp1 and Foxp2 can form heterodimers for transcriptional regulation, the differential and overlapping expression pattern of Foxp1 and Foxp2 in SPNs implicates coordinate and distinct roles of Foxp1 and Foxp2 in developmental construction and physiologic functions of striatal circuits in the brain.
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Affiliation(s)
- Weng Lam Fong
- Institute of Neuroscience, National Yang-Ming University, Taipei 11221, Taiwan
| | - Hsiao-Ying Kuo
- Institute of Neuroscience, National Yang-Ming University, Taipei 11221, Taiwan
| | - Hsiao-Lin Wu
- Institute of Neuroscience, National Yang-Ming University, Taipei 11221, Taiwan
| | - Shih-Yun Chen
- Institute of Neuroscience, National Yang-Ming University, Taipei 11221, Taiwan
| | - Fu-Chin Liu
- Institute of Neuroscience, National Yang-Ming University, Taipei 11221, Taiwan; Brain Research Center, National Yang-Ming University, Taipei 11221, Taiwan.
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52
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Sarkar A, Chabout J, Macopson JJ, Jarvis ED, Dunson DB. Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax. J Am Stat Assoc 2018. [DOI: 10.1080/01621459.2018.1423986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Abhra Sarkar
- Department of Statistics and Data Sciences, University of Texas at Austin, Austin, TX
| | | | | | - Erich D. Jarvis
- Department of Neurobiology, Duke University, Durham, NC
- Howard Hughes Medical Institute, Chevy Chase, MD
- The Rockefeller University, New York, NY
| | - David B. Dunson
- Department of Statistical Science, Duke University, Durham, NC
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53
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Korlach J, Gedman G, Kingan SB, Chin CS, Howard JT, Audet JN, Cantin L, Jarvis ED. De novo PacBio long-read and phased avian genome assemblies correct and add to reference genes generated with intermediate and short reads. Gigascience 2018; 6:1-16. [PMID: 29020750 PMCID: PMC5632298 DOI: 10.1093/gigascience/gix085] [Citation(s) in RCA: 131] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 08/23/2017] [Indexed: 01/27/2023] Open
Abstract
Reference-quality genomes are expected to provide a resource for studying gene structure, function, and evolution. However, often genes of interest are not completely or accurately assembled, leading to unknown errors in analyses or additional cloning efforts for the correct sequences. A promising solution is long-read sequencing. Here we tested PacBio-based long-read sequencing and diploid assembly for potential improvements to the Sanger-based intermediate-read zebra finch reference and Illumina-based short-read Anna's hummingbird reference, 2 vocal learning avian species widely studied in neuroscience and genomics. With DNA of the same individuals used to generate the reference genomes, we generated diploid assemblies with the FALCON-Unzip assembler, resulting in contigs with no gaps in the megabase range, representing 150-fold and 200-fold improvements over the current zebra finch and hummingbird references, respectively. These long-read and phased assemblies corrected and resolved what we discovered to be numerous misassemblies in the references, including missing sequences in gaps, erroneous sequences flanking gaps, base call errors in difficult-to-sequence regions, complex repeat structure errors, and allelic differences between the 2 haplotypes. These improvements were validated by single long-genome and transcriptome reads and resulted for the first time in completely resolved protein-coding genes widely studied in neuroscience and specialized in vocal learning species. These findings demonstrate the impact of long reads, sequencing of previously difficult-to-sequence regions, and phasing of haplotypes on generating the high-quality assemblies necessary for understanding gene structure, function, and evolution.
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Affiliation(s)
| | - Gregory Gedman
- Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA
| | | | | | - Jason T Howard
- Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA
| | - Jean-Nicolas Audet
- Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA.,Department of Biology, McGill University, Montreal, Quebec H3A 1B1, Canada
| | - Lindsey Cantin
- Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA
| | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA.,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
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54
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Staes N, Bradley BJ, Hopkins WD, Sherwood CC. Genetic signatures of socio-communicative abilities in primates. Curr Opin Behav Sci 2018. [DOI: 10.1016/j.cobeha.2017.11.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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55
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Broin PÓ, Beckert MV, Takahashi T, Izumi T, Ye K, Kang G, Pouso P, Topolski M, Pena JL, Hiroi N. Computational Analysis of Neonatal Mouse Ultrasonic Vocalization. CURRENT PROTOCOLS IN MOUSE BIOLOGY 2018; 8:e46. [PMID: 29927553 PMCID: PMC6055925 DOI: 10.1002/cpmo.46] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Neonatal vocalization is structurally altered in mouse models of autism spectrum disorder (ASD). Our published data showed that pup vocalization, under conditions of maternal separation, contains sequences whose alterations in a genetic mouse model of ASD impair social communication between pups and mothers. We describe details of a method which reveals the statistical structure of call sequences that are functionally critical for optimal maternal care. Entropy analysis determines the degree of non-random call sequencing. A Markov model determines the actual call sequences used by pups. Sparse partial least squares discriminant analysis (sPLS-DA) identifies call sequences that differentiate groups and reveals the degrees of individual variability in call sequences between groups. These three sets of analyses can be used to identify the otherwise hidden call structure that is altered in mouse models of developmental neuropsychiatric disorders, including not only autism but also schizophrenia. © 2018 by John Wiley & Sons, Inc.
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Affiliation(s)
- Pilib Ó Broin
- School of Mathematics, Statistics & Applied Mathematics,
National University of Ireland Galway, Galway, Ireland
| | - Michael V. Beckert
- Department of Neuroscience, Albert Einstein College of Medicine,
Bronx, NY, USA
| | - Tomohisa Takahashi
- Department of Psychiatry and Behavioral Sciences, Albert Einstein
College of Medicine, Bronx, NY, USA
| | - Takeshi Izumi
- Department of Psychiatry and Behavioral Sciences, Albert Einstein
College of Medicine, Bronx, NY, USA
| | - Kenny Ye
- Department of Epidemiology & Population Health, Albert
Einstein College of Medicine, Bronx, NY, USA
| | - Gina Kang
- Department of Psychiatry and Behavioral Sciences, Albert Einstein
College of Medicine, Bronx, NY, USA
| | - Patricia Pouso
- Department of Psychiatry and Behavioral Sciences, Albert Einstein
College of Medicine, Bronx, NY, USA
| | - Mackenzie Topolski
- Department of Psychiatry and Behavioral Sciences, Albert Einstein
College of Medicine, Bronx, NY, USA
| | - Jose L. Pena
- Department of Neuroscience, Albert Einstein College of Medicine,
Bronx, NY, USA
| | - Noboru Hiroi
- Department of Neuroscience, Albert Einstein College of Medicine,
Bronx, NY, USA
- Department of Psychiatry and Behavioral Sciences, Albert Einstein
College of Medicine, Bronx, NY, USA
- Department of Genetics, Albert Einstein College of Medicine, Bronx,
NY, USA
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56
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57
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Schatton A, Mendoza E, Grube K, Scharff C. FoxP in bees: A comparative study on the developmental and adult expression pattern in three bee species considering isoforms and circuitry. J Comp Neurol 2018. [PMID: 29536541 DOI: 10.1002/cne.24430] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Mutations in the transcription factors FOXP1, FOXP2, and FOXP4 affect human cognition, including language. The FoxP gene locus is evolutionarily ancient and highly conserved in its DNA-binding domain. In Drosophila melanogaster FoxP has been implicated in courtship behavior, decision making, and specific types of motor-learning. Because honeybees (Apis mellifera, Am) excel at navigation and symbolic dance communication, they are a particularly suitable insect species to investigate a potential link between neural FoxP expression and cognition. We characterized two AmFoxP isoforms and mapped their expression in the brain during development and in adult foragers. Using a custom-made antiserum and in situ hybridization, we describe 11 AmFoxP expressing neuron populations. FoxP was expressed in equivalent patterns in two other representatives of Apidae; a closely related dwarf bee and a bumblebee species. Neural tracing revealed that the largest FoxP expressing neuron cluster in honeybees projects into a posterior tract that connects the optic lobe to the posterior lateral protocerebrum, predicting a function in visual processing. Our data provide an entry point for future experiments assessing the function of FoxP in eusocial Hymenoptera.
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Affiliation(s)
- Adriana Schatton
- Institute for Animal Behavior, Freie Universität Berlin, Berlin, 14195, Germany
| | - Ezequiel Mendoza
- Institute for Animal Behavior, Freie Universität Berlin, Berlin, 14195, Germany
| | - Kathrin Grube
- Institute for Animal Behavior, Freie Universität Berlin, Berlin, 14195, Germany
| | - Constance Scharff
- Institute for Animal Behavior, Freie Universität Berlin, Berlin, 14195, Germany
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58
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Miyagawa S, Lesure C, Nóbrega VA. Cross-Modality Information Transfer: A Hypothesis about the Relationship among Prehistoric Cave Paintings, Symbolic Thinking, and the Emergence of Language. Front Psychol 2018. [PMID: 29515474 PMCID: PMC5826056 DOI: 10.3389/fpsyg.2018.00115] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Early modern humans developed mental capabilities that were immeasurably greater than those of non-human primates. We see this in the rapid innovation in tool making, the development of complex language, and the creation of sophisticated art forms, none of which we find in our closest relatives. While we can readily observe the results of this high-order cognitive capacity, it is difficult to see how it could have developed. We take up the topic of cave art and archeoacoustics, particularly the discovery that cave art is often closely connected to the acoustic properties of the cave chambers in which it is found. Apparently, early modern humans were able to detect the way sound reverberated in these chambers, and they painted artwork on surfaces that were acoustic “hot spots,” i.e., suitable for generating echoes. We argue that cave art is a form of cross-modality information transfer, in which acoustic signals are transformed into symbolic visual representations. This form of information transfer across modalities is an instance of how the symbolic mind of early modern humans was taking shape into concrete, externalized language. We also suggest that the earliest rock art found in Africa may constitute one of the first fossilized proxies for the expression of full-fledged human linguistic behavior.
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Affiliation(s)
- Shigeru Miyagawa
- Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA, United States.,Center for Research and Development of Higher Education, The University of Tokyo, Tokyo, Japan
| | - Cora Lesure
- Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Vitor A Nóbrega
- Department of Linguistics, University of São Paulo, São Paulo, Brazil
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59
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Burkett ZD, Day NF, Kimball TH, Aamodt CM, Heston JB, Hilliard AT, Xiao X, White SA. FoxP2 isoforms delineate spatiotemporal transcriptional networks for vocal learning in the zebra finch. eLife 2018; 7:30649. [PMID: 29360038 PMCID: PMC5826274 DOI: 10.7554/elife.30649] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 01/22/2018] [Indexed: 11/26/2022] Open
Abstract
Human speech is one of the few examples of vocal learning among mammals yet ~half of avian species exhibit this ability. Its neurogenetic basis is largely unknown beyond a shared requirement for FoxP2 in both humans and zebra finches. We manipulated FoxP2 isoforms in Area X, a song-specific region of the avian striatopallidum analogous to human anterior striatum, during a critical period for song development. We delineate, for the first time, unique contributions of each isoform to vocal learning. Weighted gene coexpression network analysis of RNA-seq data revealed gene modules correlated to singing, learning, or vocal variability. Coexpression related to singing was found in juvenile and adult Area X whereas coexpression correlated to learning was unique to juveniles. The confluence of learning and singing coexpression in juvenile Area X may underscore molecular processes that drive vocal learning in young zebra finches and, by analogy, humans. Songbirds, much like in humans, have a critical period in youth when they are best at learning vocal communication skills. In birds, this is when they learn a song they will use later in life as a courtship song. In humans, this is when language skills are most easily learned. After this critical period ends, it is much harder for people to learn languages, and for certain bird species to learn their song. When birds sing every morning, the activity of a gene called FoxP2 drops, which causes a coordinated change in the activity of thousands of other genes. It is suspected that FoxP2 – and the changes it causes – could be a part of the molecular basis for vocal learning. FoxP2 is also known to play a role in speech in humans, and both birds and humans have a long and a short version of this gene. Previous research has shown that when the long version of the gene was altered so its activity would no longer decrease when birds were singing, the birds failed to learn their song. Moreover, humans with a mutation in the long version have problems with their speech. However, until now, it was not known if modifications to the short version had the same effect. Burkett et al. investigated whether there was a noticeable pattern in the effects of FoxP2 before and after the critical period in a songbird. The analysis found that during the critical period, a set of genes changed together as young birds learned to sing. This particular pattern disappeared as the birds aged and the critical period ended. Burkett et al. confirmed that when birds had the long version of FoxP2 altered, they were less able to learn. However, changing the short version of FoxP2 had little effect on learning but led to changes in the birds’ song. The genetic pathways identified in the experiments are known to be present in many different species, including humans. Related pathways have also been found to play a role in non-vocal learning in organisms as distantly related as rats and snails. This suggests that they could be acting as a blueprint for learning new skills. Few treatments for language impairments have been developed so far due to poor understanding of the molecular basis for vocal communication. The findings of this study could help to create new treatments for speech problems in people, such as children with autism or people with mutated versions of FoxP2.
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Affiliation(s)
- Zachary Daniel Burkett
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, United States.,Interdepartmental Program in Molecular, Cellular, and Integrative Physiology, University of California, Los Angeles, Los Angeles, United States
| | - Nancy F Day
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, United States
| | - Todd Haswell Kimball
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, United States.,Physiological Science Master's Degree Program, University of California, Los Angeles, Los Angeles, United States
| | - Caitlin M Aamodt
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, United States.,Interdepartmental Program in Neuroscience, University of California, Los Angeles, Los Angeles, United States
| | - Jonathan B Heston
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, United States.,Interdepartmental Program in Neuroscience, University of California, Los Angeles, Los Angeles, United States
| | - Austin T Hilliard
- Department of Biology, Stanford University, Stanford, Stanford, United States
| | - Xinshu Xiao
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, United States.,Interdepartmental Program in Molecular, Cellular, and Integrative Physiology, University of California, Los Angeles, Los Angeles, United States
| | - Stephanie A White
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, United States.,Interdepartmental Program in Molecular, Cellular, and Integrative Physiology, University of California, Los Angeles, Los Angeles, United States.,Interdepartmental Program in Neuroscience, University of California, Los Angeles, Los Angeles, United States
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60
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Crespi B, Read S, Hurd P. Segregating polymorphisms of FOXP2 are associated with measures of inner speech, speech fluency and strength of handedness in a healthy population. BRAIN AND LANGUAGE 2017; 173:33-40. [PMID: 28609679 DOI: 10.1016/j.bandl.2017.06.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 05/16/2017] [Accepted: 06/03/2017] [Indexed: 06/07/2023]
Abstract
We genotyped a healthy population for three haplotype-tagging FOXP2 SNPs, and tested for associations of these SNPs with strength of handedness and questionnaire-based metrics of inner speech characteristics (ISP) and speech fluency (FLU), as derived from the Schizotypal Personality Questionnaire-BR. Levels of mixed-handedness were positively correlated with ISP and FLU, supporting prior work on these two domains. Genotype for rs7799109, a SNP previously linked with lateralization of left frontal regions underlying language, was associated with degree of mixed handedness and with scores for ISP and FLU phenotypes. Genotype of rs1456031, which has previously been linked with auditory hallucinations, was also associated with ISP phenotypes. These results provide evidence that FOXP2 SNPs influence aspects of human inner speech and fluency that are related to lateralized phenotypes, and suggest that the evolution of human language, as mediated by the adaptive evolution of FOXP2, involved features of inner speech.
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Affiliation(s)
- Bernard Crespi
- Department of Biological Sciences, 8888 University Drive, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada.
| | - Silven Read
- Department of Biological Sciences, 8888 University Drive, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada
| | - Peter Hurd
- Department of Psychology and Centre for Neuroscience, University of Alberta, Edmonton T6G 2R3, Canada
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61
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Deriziotis P, Fisher SE. Speech and Language: Translating the Genome. Trends Genet 2017; 33:642-656. [DOI: 10.1016/j.tig.2017.07.002] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Revised: 07/11/2017] [Accepted: 07/12/2017] [Indexed: 01/30/2023]
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62
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Sollis E, Deriziotis P, Saitsu H, Miyake N, Matsumoto N, Hoffer MJV, Ruivenkamp CAL, Alders M, Okamoto N, Bijlsma EK, Plomp AS, Fisher SE. Equivalent missense variant in the FOXP2 and FOXP1 transcription factors causes distinct neurodevelopmental disorders. Hum Mutat 2017; 38:1542-1554. [PMID: 28741757 DOI: 10.1002/humu.23303] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 07/11/2017] [Accepted: 07/22/2017] [Indexed: 12/28/2022]
Abstract
The closely related paralogues FOXP2 and FOXP1 encode transcription factors with shared functions in the development of many tissues, including the brain. However, while mutations in FOXP2 lead to a speech/language disorder characterized by childhood apraxia of speech (CAS), the clinical profile of FOXP1 variants includes a broader neurodevelopmental phenotype with global developmental delay, intellectual disability, and speech/language impairment. Using clinical whole-exome sequencing, we report an identical de novo missense FOXP1 variant identified in three unrelated patients. The variant, p.R514H, is located in the forkhead-box DNA-binding domain and is equivalent to the well-studied p.R553H FOXP2 variant that cosegregates with CAS in a large UK family. We present here for the first time a direct comparison of the molecular and clinical consequences of the same mutation affecting the equivalent residue in FOXP1 and FOXP2. Detailed functional characterization of the two variants in cell model systems revealed very similar molecular consequences, including aberrant subcellular localization, disruption of transcription factor activity, and deleterious effects on protein interactions. Nonetheless, clinical manifestations were broader and more severe in the three cases carrying the p.R514H FOXP1 variant than in individuals with the p.R553H variant related to CAS, highlighting divergent roles of FOXP2 and FOXP1 in neurodevelopment.
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Affiliation(s)
- Elliot Sollis
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Pelagia Deriziotis
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Hirotomo Saitsu
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Noriko Miyake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Mariëtte J V Hoffer
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Claudia A L Ruivenkamp
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Mariëlle Alders
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, The Netherlands
| | - Nobuhiko Okamoto
- Department of Medical Genetics, Osaka Medical Center and Research Institute for Maternal and Child Health, Osaka, Japan
| | - Emilia K Bijlsma
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Astrid S Plomp
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, The Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
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63
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MUPET-Mouse Ultrasonic Profile ExTraction: A Signal Processing Tool for Rapid and Unsupervised Analysis of Ultrasonic Vocalizations. Neuron 2017; 94:465-485.e5. [PMID: 28472651 DOI: 10.1016/j.neuron.2017.04.005] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 07/04/2016] [Accepted: 04/04/2017] [Indexed: 12/26/2022]
Abstract
Vocalizations play a significant role in social communication across species. Analyses in rodents have used a limited number of spectro-temporal measures to compare ultrasonic vocalizations (USVs), which limits the ability to address repertoire complexity in the context of behavioral states. Using an automated and unsupervised signal processing approach, we report the development of MUPET (Mouse Ultrasonic Profile ExTraction) software, an open-access MATLAB tool that provides data-driven, high-throughput analyses of USVs. MUPET measures, learns, and compares syllable types and provides an automated time stamp of syllable events. Using USV data from a large mouse genetic reference panel and open-source datasets produced in different social contexts, MUPET analyzes the fine details of syllable production and repertoire use. MUPET thus serves as a new tool for USV repertoire analyses, with the capability to be adapted for use with other species.
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64
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Busan P, Battaglini P, Sommer M. Transcranial magnetic stimulation in developmental stuttering: Relations with previous neurophysiological research and future perspectives. Clin Neurophysiol 2017; 128:952-964. [DOI: 10.1016/j.clinph.2017.03.039] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Revised: 03/14/2017] [Accepted: 03/22/2017] [Indexed: 10/19/2022]
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65
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Mendoza E, Scharff C. Protein-Protein Interaction Among the FoxP Family Members and their Regulation of Two Target Genes, VLDLR and CNTNAP2 in the Zebra Finch Song System. Front Mol Neurosci 2017; 10:112. [PMID: 28507505 PMCID: PMC5410569 DOI: 10.3389/fnmol.2017.00112] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 04/05/2017] [Indexed: 12/18/2022] Open
Abstract
The Forkhead transcription factor FOXP2 is implicated in speech perception and production. The avian homolog, FoxP21 contributes to song learning and production in birds. In human cell lines, transcriptional activity of FOXP2 requires homo-dimerization or dimerization with paralogs FOXP1 or FOXP4. Whether FoxP dimerization occurs in the brain is unknown. We recently showed that FoxP1, FoxP2 and FoxP4 (FoxP1/2/4) proteins are co-expressed in neurons of Area X, a song control region in zebra finches. We now report on dimer- and oligomerization of zebra finch FoxPs and how this affects transcription. In cell lines and in the brain we identify homo- and hetero-dimers, and an oligomer composed of FoxP1/2/4. We further show that FoxP1/2 but not FoxP4 bind to the regulatory region of the target gene Contactin-associated protein-like 2 (CNTNAP2). In addition, we demonstrate that FoxP1/4 bind to the regulatory region of very low density lipoprotein receptor (VLDLR), as has been shown for FoxP2 previously. Interestingly, FoxP1/2/4 individually or in combinations regulate the promoters for SV40, zebra finch VLDLR and CNTNAP2 differentially. These data exemplify the potential for complex transcriptional regulation of FoxP1/2/4, highlighting the need for future functional studies dissecting their differential regulation in the brain.
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Affiliation(s)
- Ezequiel Mendoza
- Institut für Verhaltensbiologie, Freie Universität BerlinBerlin, Germany
| | - Constance Scharff
- Institut für Verhaltensbiologie, Freie Universität BerlinBerlin, Germany
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66
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Elvevåg B, Foltz PW, Rosenstein M, Ferrer-i-Cancho R, De Deyne S, Mizraji E, Cohen A. Thoughts About Disordered Thinking: Measuring and Quantifying the Laws of Order and Disorder. Schizophr Bull 2017; 43:509-513. [PMID: 28402507 PMCID: PMC5464160 DOI: 10.1093/schbul/sbx040] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Brita Elvevåg
- Department of Clinical Medicine, University of Tromsø—The Arctic University of Norway, Tromsø, Norway;,Norwegian Centre for eHealth Research, University Hospital of North Norway, Tromsø, Norway
| | - Peter W. Foltz
- Institute of Cognitive Science, University of Colorado, Boulder, CO;,Advanced Computing and Data Science Laboratory, Pearson, Boulder, CO
| | - Mark Rosenstein
- Advanced Computing and Data Science Laboratory, Pearson, Boulder, CO
| | - Ramon Ferrer-i-Cancho
- Complexity and Quantitative Linguistics Lab, Departament de Ciències de la Computació, Universitat Politècnica de Catalunya, Barcelona, Spain
| | - Simon De Deyne
- Computational Cognitive Science Lab, School of Psychology, University of Adelaide, Adelaide, Australia
| | - Eduardo Mizraji
- Group of Cognitive Systems Modeling, Biophysics Section, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - Alex Cohen
- Department of Psychology, Louisiana State University, Baton Rouge, LA
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