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Wirthlin ME, Schmid TA, Elie JE, Zhang X, Kowalczyk A, Redlich R, Shvareva VA, Rakuljic A, Ji MB, Bhat NS, Kaplow IM, Schäffer DE, Lawler AJ, Wang AZ, Phan BN, Annaldasula S, Brown AR, Lu T, Lim BK, Azim E, Clark NL, Meyer WK, Pond SLK, Chikina M, Yartsev MM, Pfenning AR. Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements. Science 2024; 383:eabn3263. [PMID: 38422184 PMCID: PMC11313673 DOI: 10.1126/science.abn3263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
Vocal production learning ("vocal learning") is a convergently evolved trait in vertebrates. To identify brain genomic elements associated with mammalian vocal learning, we integrated genomic, anatomical, and neurophysiological data from the Egyptian fruit bat (Rousettus aegyptiacus) with analyses of the genomes of 215 placental mammals. First, we identified a set of proteins evolving more slowly in vocal learners. Then, we discovered a vocal motor cortical region in the Egyptian fruit bat, an emergent vocal learner, and leveraged that knowledge to identify active cis-regulatory elements in the motor cortex of vocal learners. Machine learning methods applied to motor cortex open chromatin revealed 50 enhancers robustly associated with vocal learning whose activity tended to be lower in vocal learners. Our research implicates convergent losses of motor cortex regulatory elements in mammalian vocal learning evolution.
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Affiliation(s)
- Morgan E. Wirthlin
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Tobias A. Schmid
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Julie E. Elie
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Xiaomeng Zhang
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Amanda Kowalczyk
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Ruby Redlich
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Varvara A. Shvareva
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Ashley Rakuljic
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Maria B. Ji
- Department of Psychology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Ninad S. Bhat
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Irene M. Kaplow
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Daniel E. Schäffer
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Alyssa J. Lawler
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
- Department of Biological Sciences, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Andrew Z. Wang
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - BaDoi N. Phan
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Siddharth Annaldasula
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Ashley R. Brown
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Tianyu Lu
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Byung Kook Lim
- Neurobiology section, Division of Biological Science, University of California, San Diego; La Jolla, CA 92093, USA
| | - Eiman Azim
- Molecular Neurobiology Laboratory, Salk Institute for Biological Studies; La Jolla, CA 92037, USA
| | - Nathan L. Clark
- Department of Biological Sciences, University of Pittsburgh; Pittsburgh, PA 15213, USA
| | - Wynn K. Meyer
- Department of Biological Sciences, Lehigh University; Bethlehem, PA 18015, USA
| | | | - Maria Chikina
- Department of Computational and Systems Biology, University of Pittsburgh; Pittsburgh, PA 15213, USA
| | - Michael M. Yartsev
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Andreas R. Pfenning
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
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Pradeep P, Kang H, Lee B. Glycosylation and behavioral symptoms in neurological disorders. Transl Psychiatry 2023; 13:154. [PMID: 37156804 PMCID: PMC10167254 DOI: 10.1038/s41398-023-02446-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 04/19/2023] [Accepted: 04/24/2023] [Indexed: 05/10/2023] Open
Abstract
Glycosylation, the addition of glycans or carbohydrates to proteins, lipids, or other glycans, is a complex post-translational modification that plays a crucial role in cellular function. It is estimated that at least half of all mammalian proteins undergo glycosylation, underscoring its importance in the functioning of cells. This is reflected in the fact that a significant portion of the human genome, around 2%, is devoted to encoding enzymes involved in glycosylation. Changes in glycosylation have been linked to various neurological disorders, including Alzheimer's disease, Parkinson's disease, autism spectrum disorder, and schizophrenia. Despite its widespread occurrence, the role of glycosylation in the central nervous system remains largely unknown, particularly with regard to its impact on behavioral abnormalities in brain diseases. This review focuses on examining the role of three types of glycosylation: N-glycosylation, O-glycosylation, and O-GlcNAcylation, in the manifestation of behavioral and neurological symptoms in neurodevelopmental, neurodegenerative, and neuropsychiatric disorders.
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Affiliation(s)
- Prajitha Pradeep
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, 34126, South Korea
- IBS School, University of Science and Technology (UST), Daejeon, 34113, South Korea
| | - Hyeyeon Kang
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, 34126, South Korea
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, South Korea
| | - Boyoung Lee
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, 34126, South Korea.
- IBS School, University of Science and Technology (UST), Daejeon, 34113, South Korea.
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, South Korea.
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Kato K, Hansen L, Clausen H. Polypeptide N-acetylgalactosaminyltransferase-Associated Phenotypes in Mammals. Molecules 2021; 26:5504. [PMID: 34576978 PMCID: PMC8472655 DOI: 10.3390/molecules26185504] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 09/07/2021] [Accepted: 09/08/2021] [Indexed: 01/31/2023] Open
Abstract
Mucin-type O-glycosylation involves the attachment of glycans to an initial O-linked N-acetylgalactosamine (GalNAc) on serine and threonine residues on proteins. This process in mammals is initiated and regulated by a large family of 20 UDP-GalNAc: polypeptide N-acetylgalactosaminyltransferases (GalNAc-Ts) (EC 2.4.1.41). The enzymes are encoded by a large gene family (GALNTs). Two of these genes, GALNT2 and GALNT3, are known as monogenic autosomal recessive inherited disease genes with well characterized phenotypes, whereas a broad spectrum of phenotypes is associated with the remaining 18 genes. Until recently, the overlapping functionality of the 20 members of the enzyme family has hindered characterizing the specific biological roles of individual enzymes. However, recent evidence suggests that these enzymes do not have full functional redundancy and may serve specific purposes that are found in the different phenotypes described. Here, we summarize the current knowledge of GALNT and associated phenotypes.
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Affiliation(s)
- Kentaro Kato
- Department of Eco-Epidemiology, Institute of Tropical Medicine, Nagasaki University, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
- School of Tropical Medicine and Global Health, Nagasaki University, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
| | - Lars Hansen
- Copenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, Mærsk Building, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark;
| | - Henrik Clausen
- Copenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, Mærsk Building, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark;
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Shimojima K, Okamoto N, Yamamoto T. Possible genes responsible for developmental delay observed in patients with rare 2q23q24 microdeletion syndrome: Literature review and description of an additional patient. Congenit Anom (Kyoto) 2017; 57:109-113. [PMID: 27957763 DOI: 10.1111/cga.12205] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 11/27/2016] [Accepted: 12/08/2016] [Indexed: 11/26/2022]
Abstract
Cases of 2q23q24 microdeletion syndrome are rare. Patients with chromosomal deletions in this region often show language impairment and/or developmental delay of variable severity. Previous genotype-phenotype correlation study suggested GALNT13 and KCNJ3 as possible candidate genes for such phenotypes. We identified a new overlapping deletion in a patient with severe developmental delay. The identified deletion extended toward the distal 2q24.1 region, and more severe phenotypes in the present patient were considered to be related to the additionally deleted genes including NR4A2 and GPD2. Previously reported chromosomal translocation and the mutation identified in GPD2 suggested that this gene would be responsible for the developmental delay. Re-evaluation for the critical region for behavior abnormalities commonly observed in the patients with overlapping deletions of this region suggested that KCNJ3 rather than GALNT13 may be responsible for abnormal behaviors, although there was phenotypic variability. Combinatory deletions involving KCNJ3 and GPD2 may lead to more severe developmental delay. Further studies would be necessary to establish clearer genotype-phenotype correlation in patients with 2q23q24 microdeletion syndrome.
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Affiliation(s)
- Keiko Shimojima
- Institute of Medical Genetics, Tokyo Women's Medical University, Tokyo, Japan.,Tokyo Women's Medical University Institute for Integrated Medical Sciences, Tokyo, Japan
| | - Nobuhiko Okamoto
- Department of Medical Genetics, Osaka Medical Center and Research Institute for Maternal and Child Health, Osaka, Japan
| | - Toshiyuki Yamamoto
- Institute of Medical Genetics, Tokyo Women's Medical University, Tokyo, Japan.,Tokyo Women's Medical University Institute for Integrated Medical Sciences, Tokyo, Japan
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