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Dewa KI, Arimura N, Kakegawa W, Itoh M, Adachi T, Miyashita S, Inoue YU, Hizawa K, Hori K, Honjoya N, Yagishita H, Taya S, Miyazaki T, Usui C, Tatsumoto S, Tsuzuki A, Uetake H, Sakai K, Yamakawa K, Sasaki T, Nagai J, Kawaguchi Y, Sone M, Inoue T, Go Y, Ichinohe N, Kaibuchi K, Watanabe M, Koizumi S, Yuzaki M, Hoshino M. Neuronal DSCAM regulates the peri-synaptic localization of GLAST in Bergmann glia for functional synapse formation. Nat Commun 2024; 15:458. [PMID: 38302444 PMCID: PMC10834496 DOI: 10.1038/s41467-023-44579-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 12/19/2023] [Indexed: 02/03/2024] Open
Abstract
In the central nervous system, astrocytes enable appropriate synapse function through glutamate clearance from the synaptic cleft; however, it remains unclear how astrocytic glutamate transporters function at peri-synaptic contact. Here, we report that Down syndrome cell adhesion molecule (DSCAM) in Purkinje cells controls synapse formation and function in the developing cerebellum. Dscam-mutant mice show defects in CF synapse translocation as is observed in loss of function mutations in the astrocytic glutamate transporter GLAST expressed in Bergmann glia. These mice show impaired glutamate clearance and the delocalization of GLAST away from the cleft of parallel fibre (PF) synapse. GLAST complexes with the extracellular domain of DSCAM. Riluzole, as an activator of GLAST-mediated uptake, rescues the proximal impairment in CF synapse formation in Purkinje cell-selective Dscam-deficient mice. DSCAM is required for motor learning, but not gross motor coordination. In conclusion, the intercellular association of synaptic and astrocyte proteins is important for synapse formation and function in neural transmission.
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Affiliation(s)
- Ken-Ichi Dewa
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
- Department of Neuropharmacology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan
- Laboratory for Glia-Neuron Circuit Dynamics, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan
| | - Nariko Arimura
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan.
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 980-8578, Tohoku, Japan.
| | - Wataru Kakegawa
- Department of Physiology, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Masayuki Itoh
- Department of Physiology, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Toma Adachi
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
| | - Satoshi Miyashita
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
- Department of System Pathology for Neurological Disorders, Brain Research Institute, Niigata University, Niigata, 951-8585, Japan
| | - Yukiko U Inoue
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
| | - Kento Hizawa
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 980-8578, Tohoku, Japan
| | - Kei Hori
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
| | - Natsumi Honjoya
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 980-8578, Tohoku, Japan
| | - Haruya Yagishita
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 980-8578, Tohoku, Japan
| | - Shinichiro Taya
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
- Division of Behavioural Neuropharmacology, International Center for Brain Science, Fujita Health University, Toyoake, Aichi, 470-1192, Japan
| | - Taisuke Miyazaki
- Department of Health Sciences, School of Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0812, Japan
| | - Chika Usui
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan
| | - Shoji Tatsumoto
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan
| | - Akiko Tsuzuki
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
| | - Hirotomo Uetake
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
- Department of Biomolecular Science, Faculty of Science, Toho University, Funabashi, Saitama, 274-8510, Japan
| | - Kazuhisa Sakai
- Department of Ultrastructural Research, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
| | - Kazuhiro Yamakawa
- Department of Neurodevelopmental Disorder Genetics, Nagoya City University Graduate School of Medicine, Nagoya, Aichi, 467-8601, Japan
| | - Takuya Sasaki
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 980-8578, Tohoku, Japan
| | - Jun Nagai
- Laboratory for Glia-Neuron Circuit Dynamics, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan
| | - Yoshiya Kawaguchi
- Department of Life Science Frontiers, Center for iPS cell Research and Application (CiRA), Kyoto University, Kyoto, 606-8507, Japan
| | - Masaki Sone
- Department of Biomolecular Science, Faculty of Science, Toho University, Funabashi, Saitama, 274-8510, Japan
| | - Takayoshi Inoue
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
| | - Yasuhiro Go
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan
- Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan
- Graduate School of Information Science, University of Hyogo, Kobe, Hyogo, 650-0047, Japan
| | - Noritaka Ichinohe
- Department of Ultrastructural Research, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan
| | - Kozo Kaibuchi
- Division of Cell Biology, International Center for Brain Science, Fujita Health University, Toyoake, Aichi, 470-1192, Japan
| | - Masahiko Watanabe
- Department of Anatomy, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, 060-8638, Japan
- The University of Texas at Austin, Austin, Texas, 78712-0805, USA
| | - Schuichi Koizumi
- Department of Neuropharmacology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan
| | - Michisuke Yuzaki
- Department of Physiology, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Mikio Hoshino
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, NCNP, Tokyo, 187-8502, Japan.
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Yamahira K, Kobayashi H, Kakioka R, Montenegro J, Masengi KWA, Okuda N, Nagano AJ, Tanaka R, Naruse K, Tatsumoto S, Go Y, Ansai S, Kusumi J. Ghost introgression in ricefishes of the genus Adrianichthys in an ancient Wallacean lake. J Evol Biol 2023; 36:1484-1493. [PMID: 37737547 DOI: 10.1111/jeb.14223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/06/2023] [Accepted: 08/01/2023] [Indexed: 09/23/2023]
Abstract
Because speciation might have been promoted by ancient introgression from an extinct lineage, it is important to detect the existence of 'ghost introgression' in focal taxa and examine its contribution to their diversification. In this study, we examined possible ghost introgression and its contributions to the diversification of ricefishes of the genus Adrianichthys in Lake Poso, an ancient lake on Sulawesi Island, in which some extinctions are known to have occurred. Population-genomic analysis revealed that two extant Adrianichthys species, A. oophorus and A. poptae are reproductively isolated from each other. Comparisons of demographic models demonstrated that introgression from a ghost population, which diverged from the common ancestor of A. oophorus and A. poptae, is essential for reconstructing the demographic history of Adrianichthys. The best model estimated that the divergence of the ghost population greatly predated the divergence between A. oophorus and A. poptae, and that the ghost population secondarily contacted the two extant species within Lake Poso more recently. Genome scans and simulations detected a greatly divergent locus, which cannot be explained without ghost introgression. This locus was also completely segregated between A. oophorus and A. poptae. These findings suggest that variants that came from a ghost population have contributed to the divergence between A. oophorus and A. poptae, but the large time-lag between their divergence and ghost introgression indicates that the contribution of introgression may be restricted.
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Affiliation(s)
- Kazunori Yamahira
- Tropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan
| | - Hirozumi Kobayashi
- Tropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan
| | - Ryo Kakioka
- Tropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan
| | - Javier Montenegro
- Tropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan
| | | | - Noboru Okuda
- Research Center for Inland Seas, Kobe University, Kobe, Japan
| | - Atsushi J Nagano
- Faculty of Agriculture, Ryukoku University, Otsu, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
| | - Rieko Tanaka
- World Medaka Aquarium, Nagoya Higashiyama Zoo and Botanical Gardens, Nagoya, Japan
| | - Kiyoshi Naruse
- Laboratory of Bioresources, National Institute for Basic Biology, Okazaki, Japan
| | - Shoji Tatsumoto
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Japan
| | - Yasuhiro Go
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Japan
- Department of System Neuroscience, Division of Behavioral Development, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan
- Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, Japan
| | - Satoshi Ansai
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Junko Kusumi
- Faculty of Social and Cultural Studies, Kyushu University, Fukuoka, Japan
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Ito K, Go Y, Tatsumoto S, Usui C, Mizuno Y, Ikami E, Isozaki Y, Usui M, Kajihara T, Yoda T, Inoue KI, Takada M, Sato T. Gene expression profiling of the masticatory muscle tendons and Achilles tendons under tensile strain in the Japanese macaque Macaca fuscata. PLoS One 2023; 18:e0280649. [PMID: 36656905 PMCID: PMC9851512 DOI: 10.1371/journal.pone.0280649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 01/05/2023] [Indexed: 01/20/2023] Open
Abstract
Both Achilles and masticatory muscle tendons are large load-bearing structures, and excessive mechanical loading leads to hypertrophic changes in these tendons. In the maxillofacial region, hyperplasia of the masticatory muscle tendons and aponeurosis affect muscle extensibility resulting in limited mouth opening. Although gene expression profiles of Achilles and patellar tendons under mechanical strain are well investigated in rodents, the gene expression profile of the masticatory muscle tendons remains unexplored. Herein, we examined the gene expression pattern of masticatory muscle tendons and compared it with that of Achilles tendons under tensile strain conditions in the Japanese macaque Macaca fuscata. Primary tenocytes isolated from the masticatory muscle tendons (temporal tendon and masseter aponeurosis) and Achilles tendons were mechanically loaded using the tensile force and gene expression was analyzed using the next-generation sequencing. In tendons exposed to tensile strain, we identified 1076 differentially expressed genes with a false discovery rate (FDR) < 10-10. To identify genes that are differentially expressed in temporal tendon and masseter aponeurosis, an FDR of < 10-10 was used, whereas the FDR for Achilles tendons was set at > 0.05. Results showed that 147 genes are differentially expressed between temporal tendons and masseter aponeurosis, out of which, 125 human orthologs were identified using the Ensemble database. Eight of these orthologs were related to tendons and among them the expression of the glycoprotein nmb and sphingosine kinase 1 was increased in temporal tendons and masseter aponeurosis following exposure to tensile strain. Moreover, the expression of tubulin beta 3 class III, which promotes cell cycle progression, and septin 9, which promotes cytoskeletal rearrangements, were decreased in stretched Achilles tendon cells and their expression was increased in stretched masseter aponeurosis and temporal tendon cells. In conclusion, cyclic strain differentially affects gene expression in Achilles tendons and tendons of the masticatory muscles.
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Affiliation(s)
- Ko Ito
- Department of Oral and Maxillofacial Surgery, Saitama Medical University, Saitama, Japan
| | - Yasuhiro Go
- Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Science, Okazaki, Aichi, Japan
- Department of System Neuroscience, National Institute for Physiological Science, Okazaki, Aichi, Japan
- Department of Physiological Science, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Aichi, Japan
| | - Shoji Tatsumoto
- Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Science, Okazaki, Aichi, Japan
| | - Chika Usui
- Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Science, Okazaki, Aichi, Japan
| | - Yosuke Mizuno
- Division of Morphological Science, Biomedical Research Center, Saitama Medical University, Saitama, Japan
| | - Eiji Ikami
- Department of Oral and Maxillofacial Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Yuta Isozaki
- Department of Oral and Maxillofacial Surgery, Saitama Medical University, Saitama, Japan
| | - Michihiko Usui
- Division of Periodontology, Department of Cardiology and Periodontology, Kyushu Dental University, Fukuoka, Japan
| | - Takeshi Kajihara
- Department of Obstetrics and Gynecology, Saitama Medical University, Saitama, Japan
| | - Tetsuya Yoda
- Department of Maxillofacial Surgery, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Ken-ichi Inoue
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, Japan
| | - Masahiko Takada
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, Japan
| | - Tsuyoshi Sato
- Department of Oral and Maxillofacial Surgery, Saitama Medical University, Saitama, Japan
- * E-mail:
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Ninomiya T, Noritake A, Tatsumoto S, Go Y, Isoda M. Cognitive genomics of learning delay and low level of social performance monitoring in macaque. Sci Rep 2022; 12:16539. [PMID: 36192455 PMCID: PMC9529886 DOI: 10.1038/s41598-022-20948-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 09/21/2022] [Indexed: 11/29/2022] Open
Abstract
Cognitive skills and the underlying neural architecture are under the influence of genetics. Cognitive genomics research explores the triadic relationship between genes, brain, and cognition, with its major strategy being genotype-driven. Here we show that an inverse strategy is feasible to identify novel candidate genes for particular neuro-cognitive phenotypes in macaques. Two monkeys, originally involved in separate psychological studies, exhibited learning delay and low levels of social performance monitoring. In one monkey, mirror neurons were fewer compared to controls and mu suppression was absent in the frontal cortex. The other monkey showed heightened visual responsiveness in both frontal cortex and dopamine-rich midbrain, with a lack of inter-areal synchronization. Exome analyses revealed that the two monkeys were most likely cousins and shared variants in MAP2, APOC1, and potentially HTR2C. This phenotype-driven strategy in cognitive genomics provides a useful means to clarify the genetic basis of phenotypic variation and develop macaque models of neuropsychiatric disorders.
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Affiliation(s)
- Taihei Ninomiya
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan.,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan
| | - Atsushi Noritake
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan.,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan
| | - Shoji Tatsumoto
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, 444-8585, Japan
| | - Yasuhiro Go
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan.,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan.,Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, 444-8585, Japan
| | - Masaki Isoda
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan. .,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan.
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Asogwa NC, Toji N, He Z, Shao C, Shibata Y, Tatsumoto S, Ishikawa H, Go Y, Wada K. Nicotinic acetylcholine receptors in a songbird brain. J Comp Neurol 2022; 530:1966-1991. [PMID: 35344610 DOI: 10.1002/cne.25314] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 02/21/2022] [Accepted: 02/23/2022] [Indexed: 11/07/2022]
Abstract
Nicotinic acetylcholine receptors (nAChRs) are ligand-gated ion channels that mediate fast synaptic transmission and cell signaling, which contribute to learning, memory, and the execution of motor skills. Birdsong is a complex learned motor skill in songbirds. Although the existence of 15 nAChR subunits has been predicted in the avian genome, their expression patterns and potential contributions to song learning and production have not been comprehensively investigated. Here, we cloned all the 15 nAChR subunits (ChrnA1-10, B2-4, D, and G) from the zebra finch brain and investigated the mRNA expression patterns in the neural pathways responsible for the learning and production of birdsong during a critical period of song learning. Although there were no detectable hybridization signals for ChrnA1, A6, A9, and A10, the other 11 nAChR subunits were uniquely expressed in one or more major subdivisions in the song nuclei of the songbird brain. Of these 11 subunits, ChrnA3-5, A7, and B2 were differentially regulated in the song nuclei compared with the surrounding anatomically related regions. ChrnA5 was upregulated during the critical period of song learning in the lateral magnocellular nucleus of the anterior nidopallium. Furthermore, single-cell RNA sequencing revealed ChrnA7 and B2 to be the major subunits expressed in neurons of the vocal motor nuclei HVC and robust nucleus of the arcopallium, indicating the potential existence of ChrnA7-homomeric and ChrnB2-heteromeric nAChRs in limited cell populations. These results suggest that relatively limited types of nAChR subunits provide functional contributions to song learning and production in songbirds.
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Affiliation(s)
| | - Noriyuki Toji
- Faculty of Science, Hokkaido University, Sapporo, Japan
| | - Ziwei He
- Graduate School of Life Science, Hokkaido University, Sapporo, Japan
| | - Chengru Shao
- Graduate School of Life Science, Hokkaido University, Sapporo, Japan
| | - Yukino Shibata
- Graduate School of Life Science, Hokkaido University, Sapporo, Japan
| | - Shoji Tatsumoto
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Japan
| | - Hiroe Ishikawa
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Japan
| | - Yasuhiro Go
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Japan
- School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Japan
- Department of Physiological Sciences, National Institute for Physiological Sciences, Okazaki, Japan
| | - Kazuhiro Wada
- Graduate School of Life Science, Hokkaido University, Sapporo, Japan
- Faculty of Science, Hokkaido University, Sapporo, Japan
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Hiraga K, Inoue YU, Asami J, Hotta M, Morimoto Y, Tatsumoto S, Hoshino M, Go Y, Inoue T. Redundant type II cadherins define neuroepithelial cell states for cytoarchitectonic robustness. Commun Biol 2020; 3:574. [PMID: 33060832 PMCID: PMC7567090 DOI: 10.1038/s42003-020-01297-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 09/15/2020] [Indexed: 02/07/2023] Open
Abstract
Individual cell shape and integrity must precisely be orchestrated during morphogenesis. Here, we determine function of type II cadherins, Cdh6, Cdh8, and Cdh11, whose expression combinatorially demarcates the mouse neural plate/tube. While CRISPR/Cas9-based single type II cadherin mutants show no obvious phenotype, Cdh6/8 double knockout (DKO) mice develop intermingled forebrain/midbrain compartments as these two cadherins' expression opposes at the nascent boundary. Cdh6/8/11 triple, Cdh6/8 or Cdh8/11 DKO mice further cause exencephaly just within the cranial region where mutated cadherins' expression merges. In the Cdh8/11 DKO midbrain, we observe less-constricted apical actin meshwork, ventrally-directed spreading, and occasional hyperproliferation among dorsal neuroepithelial cells as origins for exencephaly. These results provide rigid evidence that, by conferring distinct adhesive codes to each cell, redundant type II cadherins serve essential and shared roles in compartmentalization and neurulation, both of which proceed under the robust control of the number, positioning, constriction, and fluidity of neuroepithelial cells.
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Affiliation(s)
- Kou Hiraga
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawahigashi 4-1-1, Kodaira, Tokyo, 187-8502, Japan
| | - Yukiko U Inoue
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawahigashi 4-1-1, Kodaira, Tokyo, 187-8502, Japan
| | - Junko Asami
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawahigashi 4-1-1, Kodaira, Tokyo, 187-8502, Japan
| | - Mayuko Hotta
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawahigashi 4-1-1, Kodaira, Tokyo, 187-8502, Japan
- Graduate School of Engineering, Tokyo University of Agriculture and Technology, Nakamachi 2-24-16, Koganei, Tokyo, 184-8588, Japan
| | - Yuki Morimoto
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawahigashi 4-1-1, Kodaira, Tokyo, 187-8502, Japan
| | - Shoji Tatsumoto
- Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Saigo-naka 38, Myoudaiji, Okazaki, Aichi, 444-8585, Japan
| | - Mikio Hoshino
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawahigashi 4-1-1, Kodaira, Tokyo, 187-8502, Japan
| | - Yasuhiro Go
- Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Saigo-naka 38, Myoudaiji, Okazaki, Aichi, 444-8585, Japan
- Department of System Neuroscience, National Institute for Physiological Sciences, Saigo-naka 38, Myoudaiji, Okazaki, Aichi, 444-8585, Japan
- Department of Physiological Sciences, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Saigo-naka 38, Myoudaiji, Okazaki, Aichi, 444-8585, Japan
| | - Takayoshi Inoue
- Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Ogawahigashi 4-1-1, Kodaira, Tokyo, 187-8502, Japan.
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Ishishita S, Tatsumoto S, Kinoshita K, Nunome M, Suzuki T, Go Y, Matsuda Y. Transcriptome analysis revealed misregulated gene expression in blastoderms of interspecific chicken and Japanese quail F1 hybrids. PLoS One 2020; 15:e0240183. [PMID: 33044996 PMCID: PMC7549780 DOI: 10.1371/journal.pone.0240183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 09/22/2020] [Indexed: 11/29/2022] Open
Abstract
Hybrid incompatibility, such as sterility and inviability, prevents gene flow between closely-related populations as a reproductive isolation barrier. F1 hybrids between chickens and Japanese quail (hereafter, referred to as quail), exhibit a high frequency of developmental arrest at the preprimitive streak stage. To investigate the molecular basis of the developmental arrest at the preprimitive streak stage in chicken–quail F1 hybrid embryos, we investigated chromosomal abnormalities in the hybrid embryos using molecular cytogenetic analysis. In addition, we quantified gene expression in parental species and chicken- and quail-derived allele-specific expression in the hybrids at the early blastoderm and preprimitive streak stages by mRNA sequencing. Subsequently, we compared the directions of change in gene expression, including upregulation, downregulation, or no change, from the early blastoderm stage to the preprimitive streak stage between parental species and their hybrids. Chromosome analysis revealed that the cells of the hybrid embryos contained a fifty-fifty mixture of parental chromosomes, and numerical chromosomal abnormalities were hardly observed in the hybrid cells. Gene expression analysis revealed that a part of the genes that were upregulated from the early blastoderm stage to the preprimitive streak stage in both parental species exhibited no upregulation of both chicken- and quail-derived alleles in the hybrids. GO term enrichment analysis revealed that these misregulated genes are involved in various biological processes, including ribosome-mediated protein synthesis and cell proliferation. Furthermore, the misregulated genes included genes involved in early embryonic development, such as primitive streak formation and gastrulation. These results suggest that numerical chromosomal abnormalities due to a segregation failure does not cause the lethality of chicken–quail hybrid embryos, and that the downregulated expression of the genes that are involved in various biological processes, including translation and primitive streak formation, mainly causes the developmental arrest at the preprimitive streak stage in the hybrids.
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Affiliation(s)
- Satoshi Ishishita
- Avian Bioscience Research Center, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan
| | - Shoji Tatsumoto
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLs), National Institutes of Natural Sciences, Okazaki, Aichi, Japan
| | - Keiji Kinoshita
- Avian Bioscience Research Center, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan
| | - Mitsuo Nunome
- Avian Bioscience Research Center, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan
| | - Takayuki Suzuki
- Avian Bioscience Research Center, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan
- Laboratory of Avian Bioscience, Department of Animal Sciences, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan
| | - Yasuhiro Go
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLs), National Institutes of Natural Sciences, Okazaki, Aichi, Japan
| | - Yoichi Matsuda
- Avian Bioscience Research Center, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan
- Laboratory of Avian Bioscience, Department of Animal Sciences, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan
- * E-mail:
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8
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Kishida T, Go Y, Tatsumoto S, Tatsumi K, Kuraku S, Toda M. Loss of olfaction in sea snakes provides new perspectives on the aquatic adaptation of amniotes. Proc Biol Sci 2019; 286:20191828. [PMID: 31506057 DOI: 10.1098/rspb.2019.1828] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Marine amniotes, a polyphyletic group, provide an excellent opportunity for studying convergent evolution. Their sense of smell tends to degenerate, but this process has not been explored by comparing fully aquatic species with their amphibious relatives in an evolutionary context. Here, we sequenced the genomes of fully aquatic and amphibious sea snakes and identified repertoires of chemosensory receptor genes involved in olfaction. Snakes possess large numbers of the olfactory receptor (OR) genes and the type-2 vomeronasal receptor (V2R) genes, and expression profiling in the olfactory tissues suggests that snakes use the ORs in the main olfactory system (MOS) and the V2Rs in the vomeronasal system (VNS). The number of OR genes has decreased in sea snakes, and fully aquatic species lost MOS which is responsible for detecting airborne odours. By contrast, sea snakes including fully aquatic species retain a number of V2R genes and a well-developed VNS for smelling underwater. This study suggests that the sense of smell also degenerated in sea snakes, particularly in fully aquatic species, but their residual olfactory capability is distinct from that of other fully aquatic amniotes. Amphibious species show an intermediate status between terrestrial and fully aquatic snakes, implying their importance in understanding the process of aquatic adaptation.
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Affiliation(s)
- Takushi Kishida
- Wildlife Research Center, Kyoto University, 2-24 Tanaka Sekiden-cho, Sakyo, Kyoto 606-8203, Japan
| | - Yasuhiro Go
- Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Aichi 444-8585, Japan.,National Institute for Physiological Science, Okazaki, Aichi 444-8585, Japan
| | - Shoji Tatsumoto
- Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Aichi 444-8585, Japan.,National Institute for Physiological Science, Okazaki, Aichi 444-8585, Japan
| | - Kaori Tatsumi
- RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo 650-0047, Japan
| | - Shigehiro Kuraku
- RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo 650-0047, Japan
| | - Mamoru Toda
- Tropical Biosphere Research Center, University of the Ryukyus, Nishihara, Okinawa 903-0213, Japan
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9
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Xu C, Li Q, Efimova O, He L, Tatsumoto S, Stepanova V, Oishi T, Udono T, Yamaguchi K, Shigenobu S, Kakita A, Nawa H, Khaitovich P, Go Y. Human-specific features of spatial gene expression and regulation in eight brain regions. Genome Res 2018; 28:1097-1110. [PMID: 29898898 PMCID: PMC6071643 DOI: 10.1101/gr.231357.117] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 06/04/2018] [Indexed: 01/22/2023]
Abstract
Molecular maps of the human brain alone do not inform us of the features unique to humans. Yet, the identification of these features is important for understanding both the evolution and nature of human cognition. Here, we approached this question by analyzing gene expression and H3K27ac chromatin modification data collected in eight brain regions of humans, chimpanzees, gorillas, a gibbon, and macaques. An analysis of spatial transcriptome trajectories across eight brain regions in four primate species revealed 1851 genes showing human-specific transcriptome differences in one or multiple brain regions, in contrast to 240 chimpanzee-specific differences. More than half of these human-specific differences represented elevated expression of genes enriched in neuronal and astrocytic markers in the human hippocampus, whereas the rest were enriched in microglial markers and displayed human-specific expression in several frontal cortical regions and the cerebellum. An analysis of the predicted regulatory interactions driving these differences revealed the role of transcription factors in species-specific transcriptome changes, and epigenetic modifications were linked to spatial expression differences conserved across species.
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Affiliation(s)
- Chuan Xu
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Qian Li
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Olga Efimova
- Skolkovo Institute of Science and Technology, Moscow 143026, Russia
| | - Liu He
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shoji Tatsumoto
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Aichi 4448585, Japan
| | - Vita Stepanova
- Skolkovo Institute of Science and Technology, Moscow 143026, Russia
| | - Takao Oishi
- Primate Research Institute, Kyoto University, Inuyama, Aichi 4848506, Japan
| | - Toshifumi Udono
- Kumamoto Sanctuary, Wildlife Research Center, Kyoto University, Uki, Kumamoto 8693201, Japan
| | - Katsushi Yamaguchi
- NIBB Core Research Facilities, National Institute for Basic Biology, Okazaki, Aichi 4448585, Japan
| | - Shuji Shigenobu
- NIBB Core Research Facilities, National Institute for Basic Biology, Okazaki, Aichi 4448585, Japan.,School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Aichi 4448585, Japan
| | - Akiyoshi Kakita
- Brain Research Institute, Niigata University, Niigata 9518585, Japan
| | - Hiroyuki Nawa
- Brain Research Institute, Niigata University, Niigata 9518585, Japan
| | - Philipp Khaitovich
- Skolkovo Institute of Science and Technology, Moscow 143026, Russia.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.,Comparative Biology Laboratory, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 200031, China
| | - Yasuhiro Go
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Aichi 4448585, Japan.,School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Aichi 4448585, Japan.,Department of Physiological Sciences, National Institute for Physiological Sciences, Okazaki, Aichi 4448585, Japan
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10
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Tatsumoto S, Go Y, Fukuta K, Noguchi H, Hayakawa T, Tomonaga M, Hirai H, Matsuzawa T, Agata K, Fujiyama A. Direct estimation of de novo mutation rates in a chimpanzee parent-offspring trio by ultra-deep whole genome sequencing. Sci Rep 2017; 7:13561. [PMID: 29093469 PMCID: PMC5666008 DOI: 10.1038/s41598-017-13919-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 10/04/2017] [Indexed: 12/30/2022] Open
Abstract
Mutations generate genetic variation and are a major driving force of evolution. Therefore, examining mutation rates and modes are essential for understanding the genetic basis of the physiology and evolution of organisms. Here, we aim to identify germline de novo mutations through the whole-genome surveyance of Mendelian inheritance error sites (MIEs), those not inherited through the Mendelian inheritance manner from either of the parents, using ultra-deep whole genome sequences (>150-fold) from a chimpanzee parent-offspring trio. We identified such 889 MIEs and classified them into four categories based on the pattern of inheritance and the sequence read depth: [i] de novo single nucleotide variants (SNVs), [ii] copy number neutral inherited variants, [iii] hemizygous deletion inherited variants, and [iv] de novo copy number variants (CNVs). From de novo SNV candidates, we estimated a germline de novo SNV mutation rate as 1.48 × 10-8 per site per generation or 0.62 × 10-9 per site per year. In summary, this study demonstrates the significance of ultra-deep whole genome sequencing not only for the direct estimation of mutation rates but also for discerning various mutation modes including de novo allelic conversion and de novo CNVs by identifying MIEs through the transmission of genomes from parents to offspring.
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Affiliation(s)
- Shoji Tatsumoto
- Department of Brain Sciences, Center for Novel Science Initiatives, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan
| | - Yasuhiro Go
- Department of Brain Sciences, Center for Novel Science Initiatives, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan. .,Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Aichi, 444-8585, Japan. .,Department of Physiological Sciences, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Aichi, 484-8585, Japan.
| | - Kentaro Fukuta
- Center for Genome Informatics, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Mishima, Shizuoka, 411-8540, Japan.,Advanced Genomics Center, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan
| | - Hideki Noguchi
- Center for Genome Informatics, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Mishima, Shizuoka, 411-8540, Japan.,Advanced Genomics Center, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan
| | - Takashi Hayakawa
- Department of Wildlife Science (Nagoya Railroad Co., Ltd.), Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.,Japan Monkey Centre, Inuyama, Aichi, 484-0081, Japan
| | - Masaki Tomonaga
- Department of Wildlife Science (Nagoya Railroad Co., Ltd.), Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.,Japan Monkey Centre, Inuyama, Aichi, 484-0081, Japan.,Language and Intelligence Section, Department of Cognitive Sciences, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Hirohisa Hirai
- Molecular Biology Section, Department of Cellular and Molecular Biology, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Tetsuro Matsuzawa
- Department of Wildlife Science (Nagoya Railroad Co., Ltd.), Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.,Japan Monkey Centre, Inuyama, Aichi, 484-0081, Japan.,Language and Intelligence Section, Department of Cognitive Sciences, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.,Institute of Advanced Study, Kyoto University, Kyoto, 606-8501, Japan
| | - Kiyokazu Agata
- Laboratory for Biodiversity, Global COE Program, Graduate School of Science, Kyoto University, Kyoto, 606-8502, Japan.,Laboratory for Molecular Developmental Biology, Graduate School of Science, Kyoto University, Kyoto, 606-8502, Japan.,Graduate Course in Life Science, Gakushuin University, Tokyo, 171-8585, Japan
| | - Asao Fujiyama
- Center for Genome Informatics, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Mishima, Shizuoka, 411-8540, Japan. .,Advanced Genomics Center, National Institute of Genetics, Mishima, Shizuoka, 411-8540, Japan. .,Department of Genetics, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies), Mishima, Shizuoka, 411-8540, Japan.
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11
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Shimogori T, Abe A, Go Y, Hashikawa T, Kishi N, Kikuchi SS, Kita Y, Niimi K, Nishibe H, Okuno M, Saga K, Sakurai M, Sato M, Serizawa T, Suzuki S, Takahashi E, Tanaka M, Tatsumoto S, Toki M, U M, Wang Y, Windak KJ, Yamagishi H, Yamashita K, Yoda T, Yoshida AC, Yoshida C, Yoshimoto T, Okano H. Digital gene atlas of neonate common marmoset brain. Neurosci Res 2017; 128:1-13. [PMID: 29111135 DOI: 10.1016/j.neures.2017.10.009] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 10/16/2017] [Accepted: 10/17/2017] [Indexed: 01/01/2023]
Abstract
Interest in the common marmoset (Callithrix jacchus) as a primate model animal has grown recently, in part due to the successful demonstration of transgenic marmosets. However, there is some debate as to the suitability of marmosets, compared to more widely used animal models, such as the macaque monkey and mouse. Especially, the usage of marmoset for animal models of human cognition and mental disorders, is still yet to be fully explored. To examine the prospects of the marmoset model for neuroscience research, the Marmoset Gene Atlas (https://gene-atlas.bminds.brain.riken.jp/) provides a whole brain gene expression atlas in the common marmoset. We employ in situ hybridization (ISH) to systematically analyze gene expression in neonate marmoset brains, which allows us to compare expression with other model animals such as mouse. We anticipate that these data will provide sufficient information to develop tools that enable us to reveal marmoset brain structure, function, cellular and molecular organization for primate brain research.
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Affiliation(s)
- Tomomi Shimogori
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
| | - Ayumi Abe
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Yasuhiro Go
- Department of Brain Sciences, Center for Novel Science Initiatives, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan; Department of Physiological Sciences, National Institute for Physiological Sciences, Okazaki, Aichi 444-8585, Japan
| | - Tsutomu Hashikawa
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Noriyuki Kishi
- RIKEN Brain Science Institute, Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan; Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-0016, Japan
| | - Satomi S Kikuchi
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Yoshiaki Kita
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Kimie Niimi
- RIKEN Brain Science Institute, Support Unit for Animal Resources Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Hirozumi Nishibe
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Misako Okuno
- RIKEN Brain Science Institute, Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan; Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-0016, Japan
| | - Kanako Saga
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Miyano Sakurai
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Masae Sato
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Tsuna Serizawa
- Progress wave, 3-14-11 Takamatsu-cho, Tachikawashi, Tokyo 190-0011, Japan
| | - Sachie Suzuki
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Eiki Takahashi
- RIKEN Brain Science Institute, Support Unit for Animal Resources Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Mami Tanaka
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Shoji Tatsumoto
- Department of Brain Sciences, Center for Novel Science Initiatives, National Institutes of Natural Sciences, Okazaki, Aichi, 444-8585, Japan
| | - Mitsuhiro Toki
- Progress wave, 3-14-11 Takamatsu-cho, Tachikawashi, Tokyo 190-0011, Japan
| | - Mami U
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Yan Wang
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Karl J Windak
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Haruhiko Yamagishi
- Progress wave, 3-14-11 Takamatsu-cho, Tachikawashi, Tokyo 190-0011, Japan
| | - Keiko Yamashita
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Tomoko Yoda
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Aya C Yoshida
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Chihiro Yoshida
- RIKEN Brain Science Institute, Laboratory for Molecular Mechanisms of Thalamus Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Takuro Yoshimoto
- RIKEN Brain Science Institute, Support Unit for Animal Resources Development, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Hideyuki Okano
- RIKEN Brain Science Institute, Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan; Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-0016, Japan.
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12
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Sato T, Tanaka T, Nishiofuku H, Fukuoka Y, Masada T, Tatsumoto S, Kichikawa K. In vivo evaluation of the reduced expansion technique of cisplatin-loaded QuadraSphere microspheres for use in chemoembolization of rabbit VX2 liver tumors. J Vasc Interv Radiol 2017. [DOI: 10.1016/j.jvir.2016.12.734] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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13
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Tatsumoto S, Adati N, Tohtoki Y, Sakaki Y, Boroviak T, Habu S, Okano H, Suemizu H, Sasaki E, Satake M. Development and characterization of cDNA resources for the common marmoset: one of the experimental primate models. DNA Res 2013; 20:255-62. [PMID: 23543116 PMCID: PMC3686431 DOI: 10.1093/dnares/dst007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The common marmoset is a new world monkey, which has become a valuable experimental animal for biomedical research. This study developed cDNA libraries for the common marmoset from five different tissues. A total of 290 426 high-quality EST sequences were obtained, where 251 587 sequences (86.5%) had homology (1E−100) with the Refseqs of six different primate species, including human and marmoset. In parallel, 270 673 sequences (93.2%) were aligned to the human genome. When 247 090 sequences were assembled into 17 232 contigs, most of the sequences (218 857 or 15 089 contigs) were located in exonic regions, indicating that these genes are expressed in human and marmoset. The other 5578 sequences (or 808 contigs) mapping to the human genome were not located in exonic regions, suggesting that they are not expressed in human. Furthermore, a different set of 118 potential coding sequences were not similar to any Refseqs in any species, and, thus, may represent unknown genes. The cDNA libraries developed in this study are available through RIKEN Bio Resource Center. A Web server for the marmoset cDNAs is available at http://marmoset.nig.ac.jp/index.html, where each marmoset EST sequence has been annotated by reference to the human genome. These new libraries will be a useful genetic resource to facilitate research in the common marmoset.
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Affiliation(s)
- Shoji Tatsumoto
- RIKEN Genomic Sciences Center, Suehiro-cho 1-7-22, Tsurumi-ku, Yokohama 230-0045, Japan
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14
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Renfree MB, Papenfuss AT, Deakin JE, Lindsay J, Heider T, Belov K, Rens W, Waters PD, Pharo EA, Shaw G, Wong ESW, Lefèvre CM, Nicholas KR, Kuroki Y, Wakefield MJ, Zenger KR, Wang C, Ferguson-Smith M, Nicholas FW, Hickford D, Yu H, Short KR, Siddle HV, Frankenberg SR, Chew KY, Menzies BR, Stringer JM, Suzuki S, Hore TA, Delbridge ML, Mohammadi A, Schneider NY, Hu Y, O'Hara W, Al Nadaf S, Wu C, Feng ZP, Cocks BG, Wang J, Flicek P, Searle SMJ, Fairley S, Beal K, Herrero J, Carone DM, Suzuki Y, Sugano S, Toyoda A, Sakaki Y, Kondo S, Nishida Y, Tatsumoto S, Mandiou I, Hsu A, McColl KA, Lansdell B, Weinstock G, Kuczek E, McGrath A, Wilson P, Men A, Hazar-Rethinam M, Hall A, Davis J, Wood D, Williams S, Sundaravadanam Y, Muzny DM, Jhangiani SN, Lewis LR, Morgan MB, Okwuonu GO, Ruiz SJ, Santibanez J, Nazareth L, Cree A, Fowler G, Kovar CL, Dinh HH, Joshi V, Jing C, Lara F, Thornton R, Chen L, Deng J, Liu Y, Shen JY, Song XZ, Edson J, Troon C, Thomas D, Stephens A, Yapa L, Levchenko T, Gibbs RA, Cooper DW, Speed TP, Fujiyama A, M Graves JA, O'Neill RJ, Pask AJ, Forrest SM, Worley KC. Genome sequence of an Australian kangaroo, Macropus eugenii, provides insight into the evolution of mammalian reproduction and development. Genome Biol 2011; 12:R81. [PMID: 21854559 PMCID: PMC3277949 DOI: 10.1186/gb-2011-12-8-r81] [Citation(s) in RCA: 147] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2011] [Revised: 07/22/2011] [Accepted: 08/19/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We present the genome sequence of the tammar wallaby, Macropus eugenii, which is a member of the kangaroo family and the first representative of the iconic hopping mammals that symbolize Australia to be sequenced. The tammar has many unusual biological characteristics, including the longest period of embryonic diapause of any mammal, extremely synchronized seasonal breeding and prolonged and sophisticated lactation within a well-defined pouch. Like other marsupials, it gives birth to highly altricial young, and has a small number of very large chromosomes, making it a valuable model for genomics, reproduction and development. RESULTS The genome has been sequenced to 2 × coverage using Sanger sequencing, enhanced with additional next generation sequencing and the integration of extensive physical and linkage maps to build the genome assembly. We also sequenced the tammar transcriptome across many tissues and developmental time points. Our analyses of these data shed light on mammalian reproduction, development and genome evolution: there is innovation in reproductive and lactational genes, rapid evolution of germ cell genes, and incomplete, locus-specific X inactivation. We also observe novel retrotransposons and a highly rearranged major histocompatibility complex, with many class I genes located outside the complex. Novel microRNAs in the tammar HOX clusters uncover new potential mammalian HOX regulatory elements. CONCLUSIONS Analyses of these resources enhance our understanding of marsupial gene evolution, identify marsupial-specific conserved non-coding elements and critical genes across a range of biological systems, including reproduction, development and immunity, and provide new insight into marsupial and mammalian biology and genome evolution.
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Affiliation(s)
- Marilyn B Renfree
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Anthony T Papenfuss
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
- Department of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Janine E Deakin
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
| | - James Lindsay
- Department of Molecular and Cell Biology, Center for Applied Genetics and Technology, University of Connecticut, Storrs, CT 06269, USA
| | - Thomas Heider
- Department of Molecular and Cell Biology, Center for Applied Genetics and Technology, University of Connecticut, Storrs, CT 06269, USA
| | - Katherine Belov
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Willem Rens
- Department of Veterinary Medicine, University of Cambridge, Madingley Rd, Cambridge, CB3 0ES, UK
| | - Paul D Waters
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
| | - Elizabeth A Pharo
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Geoff Shaw
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Emily SW Wong
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Christophe M Lefèvre
- Institute for Technology Research and Innovation, Deakin University, Geelong, Victoria, 3214, Australia
| | - Kevin R Nicholas
- Institute for Technology Research and Innovation, Deakin University, Geelong, Victoria, 3214, Australia
| | - Yoko Kuroki
- RIKEN Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Matthew J Wakefield
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
| | - Kyall R Zenger
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
- School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia
| | - Chenwei Wang
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Malcolm Ferguson-Smith
- Department of Veterinary Medicine, University of Cambridge, Madingley Rd, Cambridge, CB3 0ES, UK
| | - Frank W Nicholas
- Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Danielle Hickford
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Hongshi Yu
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Kirsty R Short
- Department of Microbiology and Immunology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Hannah V Siddle
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Stephen R Frankenberg
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Keng Yih Chew
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Brandon R Menzies
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, Berlin 10315, Germany
| | - Jessica M Stringer
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Shunsuke Suzuki
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Timothy A Hore
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Laboratory of Developmental Genetics and Imprinting, The Babraham Institute, Cambridge, CB22 3AT, UK
| | - Margaret L Delbridge
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
| | - Amir Mohammadi
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
| | - Nanette Y Schneider
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Department of Molecular Genetics, German Institute of Human Nutrition, Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Yanqiu Hu
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - William O'Hara
- Department of Molecular and Cell Biology, Center for Applied Genetics and Technology, University of Connecticut, Storrs, CT 06269, USA
| | - Shafagh Al Nadaf
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
| | - Chen Wu
- Faculty of Veterinary Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Zhi-Ping Feng
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Benjamin G Cocks
- Biosciences Research Division, Department of Primary Industries, Victoria, 1 Park Drive, Bundoora 3083, Australia
| | - Jianghui Wang
- Biosciences Research Division, Department of Primary Industries, Victoria, 1 Park Drive, Bundoora 3083, Australia
| | - Paul Flicek
- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Stephen MJ Searle
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Susan Fairley
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Kathryn Beal
- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Javier Herrero
- European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Dawn M Carone
- Department of Molecular and Cell Biology, Center for Applied Genetics and Technology, University of Connecticut, Storrs, CT 06269, USA
- Department of Cell Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Yutaka Suzuki
- Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8560, Japan
| | - Sumio Sugano
- Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8560, Japan
| | - Atsushi Toyoda
- National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan
| | - Yoshiyuki Sakaki
- RIKEN Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Shinji Kondo
- RIKEN Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Yuichiro Nishida
- RIKEN Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Shoji Tatsumoto
- RIKEN Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Ion Mandiou
- Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269, USA
| | - Arthur Hsu
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Kaighin A McColl
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
| | - Benjamin Lansdell
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
| | - George Weinstock
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Elizabeth Kuczek
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
- Westmead Institute for Cancer Research, University of Sydney, Westmead, New South Wales 2145, Australia
| | - Annette McGrath
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Peter Wilson
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Artem Men
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Mehlika Hazar-Rethinam
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Allison Hall
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - John Davis
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - David Wood
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Sarah Williams
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Yogi Sundaravadanam
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Donna M Muzny
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Shalini N Jhangiani
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Lora R Lewis
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Margaret B Morgan
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Geoffrey O Okwuonu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - San Juana Ruiz
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Jireh Santibanez
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Lynne Nazareth
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Andrew Cree
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Gerald Fowler
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Christie L Kovar
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Huyen H Dinh
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Vandita Joshi
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Chyn Jing
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Fremiet Lara
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Rebecca Thornton
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Lei Chen
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Jixin Deng
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Yue Liu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Joshua Y Shen
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Xing-Zhi Song
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Janette Edson
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Carmen Troon
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Daniel Thomas
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Amber Stephens
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Lankesha Yapa
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Tanya Levchenko
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Richard A Gibbs
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
| | - Desmond W Cooper
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Terence P Speed
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
| | - Asao Fujiyama
- National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan
- National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
| | - Jennifer A M Graves
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Research School of Biology, The Australian National University, Canberra, ACT 0200, Australia
| | - Rachel J O'Neill
- Department of Molecular and Cell Biology, Center for Applied Genetics and Technology, University of Connecticut, Storrs, CT 06269, USA
| | - Andrew J Pask
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Department of Zoology, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Department of Molecular and Cell Biology, Center for Applied Genetics and Technology, University of Connecticut, Storrs, CT 06269, USA
| | - Susan M Forrest
- The Australian Research Council Centre of Excellence in Kangaroo Genomics, Australia
- Australian Genome Research Facility, Melbourne, Victoria, 3052 and the University of Queensland, St Lucia, Queensland 4072, Australia
| | - Kim C Worley
- Human Genome Sequencing Center, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX 77030, USA
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15
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Renfree MB, Papenfuss AT, Deakin JE, Lindsay J, Heider T, Belov K, Rens W, Waters PD, Pharo EA, Shaw G, Wong ESW, Lefèvre CM, Nicholas KR, Kuroki Y, Wakefield MJ, Zenger KR, Wang C, Ferguson-Smith M, Nicholas FW, Hickford D, Yu H, Short KR, Siddle HV, Frankenberg SR, Chew KY, Menzies BR, Stringer JM, Suzuki S, Hore TA, Delbridge ML, Patel H, Mohammadi A, Schneider NY, Hu Y, O'Hara W, Al Nadaf S, Wu C, Feng ZP, Cocks BG, Wang J, Flicek P, Searle SMJ, Fairley S, Beal K, Herrero J, Carone DM, Suzuki Y, Sugano S, Toyoda A, Sakaki Y, Kondo S, Nishida Y, Tatsumoto S, Mandiou I, Hsu A, McColl KA, Lansdell B, Weinstock G, Kuczek E, McGrath A, Wilson P, Men A, Hazar-Rethinam M, Hall A, Davis J, Wood D, Williams S, Sundaravadanam Y, Muzny DM, Jhangiani SN, Lewis LR, Morgan MB, Okwuonu GO, Ruiz SJ, Santibanez J, Nazareth L, Cree A, Fowler G, Kovar CL, Dinh HH, Joshi V, Jing C, Lara F, Thornton R, Chen L, Deng J, Liu Y, Shen JY, Song XZ, Edson J, Troon C, Thomas D, Stephens A, Yapa L, Levchenko T, Gibbs RA, Cooper DW, Speed TP, Fujiyama A, M Graves JA, O'Neill RJ, Pask AJ, Forrest SM, Worley KC. Genome sequence of an Australian kangaroo, Macropus eugenii, provides insight into the evolution of mammalian reproduction and development. Genome Biol 2011. [PMCID: PMC3334613 DOI: 10.1186/gb-2011-12-12-414] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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16
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Tatsumoto S. [The development of visual co-action in infancy]. Shinrigaku Kenkyu 1993; 64:173-80. [PMID: 8230874 DOI: 10.4992/jjpsy.64.173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The purpose was to examine (1) whether infants are capable of imitation or not and (2) to assess their ability for information processing, specifically for visual perception. Twenty-one infants were presented four kinds of facial expressions (tongue protrusion, opened mouth, mouth protrusion and eye blink) at the ages of six, ten, and fourteen weeks. Infants' responses were videotaped and analyzed. Their behavior indicated that six-week-olds could not differentiate between the four stimuli. They could not imitate the facial expressions, because their perception did not differentiate the stimuli sufficiently yet. Responses by ten- and fourteen-week-olds indicated that their perceptual processes had developed sufficiently to differentiate stimuli, and make some matching behaviors with the processed information. Some matching responses, open mouth and mouth protrusion, were less frequent at fourteen weeks than at ten weeks. However, the overall matching responses were greater among fourteen than ten week olds. Apparently with the development of perceptual processes, matching responses also emerge.
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Affiliation(s)
- S Tatsumoto
- Department of Child Psychology, Faculty of Education, Hiroshima University, Higashihiroshima
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