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Liu Y, Li M, Segal A, Zhang M, Sestan N. Decoding human brain evolution: Insights from genomics. Curr Opin Neurobiol 2025; 92:103033. [PMID: 40334295 DOI: 10.1016/j.conb.2025.103033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 02/13/2025] [Accepted: 04/07/2025] [Indexed: 05/09/2025]
Abstract
The human brain has undergone remarkable structural and functional specializations compared to that of nonhuman primates (NHPs), underlying the advanced cognitive abilities unique to humans. However, the cellular and genetic basis driving these specializations remains largely unknown. Comparing humans to our closest living relatives, chimpanzee and other great apes, is essential for identifying truly human-specific features. Recent comparative studies with closely related NHPs at the single-cell resolution using multimodal genomic profiling, assisted with high-throughput functional screening have provided unprecedented insights into human-specific brain features and their genetic underpinnings. In this review, we synthesize the current knowledge of human brain evolution at cellular and molecular levels, emphasizing how genetic changes have shaped these adaptations. We also discuss the emerging opportunities presented by new technologies and comprehensive atlases for advancing our understanding of human brain evolution.
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Affiliation(s)
- Yuting Liu
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Mingli Li
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Ashlea Segal
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA; Wu-Tsai Institute, Yale University, New Haven, CT, 06520, USA
| | - Menglei Zhang
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA; Wu-Tsai Institute, Yale University, New Haven, CT, 06520, USA; Departments of Comparative Medicine, Genetics, and Psychiatry, Program in Cellular Neuroscience, Neurodegeneration and Repair, and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA.
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2
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Real TD, Hebbar P, Yoo D, Antonacci F, Pačar I, Diekhans M, Mikol GJ, Popoola OG, Mallory BJ, Vollger MR, Dishuck PC, Guitart X, Rozanski AN, Munson KM, Hoekzema K, Ranchalis JE, Neph SJ, Sedeño-Cortes AE, Paten B, Salama SR, Stergachis AB, Eichler EE. Genetic diversity and regulatory features of human-specific NOTCH2NL duplications. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.14.643395. [PMID: 40166283 PMCID: PMC11956922 DOI: 10.1101/2025.03.14.643395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
NOTCH2NL (NOTCH2-N-terminus-like) genes arose from incomplete, recent chromosome 1 segmental duplications implicated in human brain cortical expansion. Genetic characterization of these loci and their regulation is complicated by the fact they are embedded in large, nearly identical duplications that predispose to recurrent microdeletion syndromes. Using nearly complete long-read assemblies generated from 67 human and 12 ape haploid genomes, we show independent recurrent duplication among apes with functional copies emerging in humans ~2.1 million years ago. We distinguish NOTCH2NL paralogs present in every human haplotype (NOTCH2NLA) from copy number variable ones. We also characterize large-scale structural variation, including gene conversion, for 28% of haplotypes leading to a previously undescribed paralog, NOTCH2tv. Finally, we apply Fiber-seq and long-read transcript sequencing to human cortical neurospheres to characterize the regulatory landscape and find that the most fixed paralogs, NOTCH2 and NOTCH2NLA, harbor the greatest number of paralog-specific elements potentially driving their regulation.
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Affiliation(s)
- Taylor D. Real
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Prajna Hebbar
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Francesca Antonacci
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, 70125, Italy
| | - Ivana Pačar
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Gregory J. Mikol
- College of Natural & Agricultural Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Oyeronke G. Popoola
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, Chapel Hill, NC 27514, USA
| | - Benjamin J. Mallory
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Mitchell R. Vollger
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Philip C. Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Xavi Guitart
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Allison N. Rozanski
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Katherine M. Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Jane E. Ranchalis
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Shane J. Neph
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Adriana E. Sedeño-Cortes
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Benedict Paten
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Sofie R. Salama
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
- Department of Molecular, Cell and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Andrew B. Stergachis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
- Division of Medical Genetics, Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
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Jeong H, Dishuck PC, Yoo D, Harvey WT, Munson KM, Lewis AP, Kordosky J, Garcia GH, Human Genome Structural Variation Consortium (HGSVC), Yilmaz F, Hallast P, Lee C, Pastinen T, Eichler EE. Structural polymorphism and diversity of human segmental duplications. Nat Genet 2025; 57:390-401. [PMID: 39779957 PMCID: PMC11821543 DOI: 10.1038/s41588-024-02051-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 12/04/2024] [Indexed: 01/11/2025]
Abstract
Segmental duplications (SDs) contribute significantly to human disease, evolution and diversity but have been difficult to resolve at the sequence level. We present a population genetics survey of SDs by analyzing 170 human genome assemblies (from 85 samples representing 38 Africans and 47 non-Africans) in which the majority of autosomal SDs are fully resolved using long-read sequence assembly. Excluding the acrocentric short arms and sex chromosomes, we identify 173.2 Mb of duplicated sequence (47.4 Mb not present in the telomere-to-telomere reference) distinguishing fixed from structurally polymorphic events. We find that intrachromosomal SDs are among the most variable, with rare events mapping near their progenitor sequences. African genomes harbor significantly more intrachromosomal SDs and are more likely to have recently duplicated gene families with higher copy numbers than non-African samples. Comparison to a resource of 563 million full-length isoform sequencing reads identifies 201 novel, potentially protein-coding genes corresponding to these copy number polymorphic SDs.
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Affiliation(s)
- Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Altos Labs, San Diego, CA, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jennifer Kordosky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Gage H Garcia
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Feyza Yilmaz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Tomi Pastinen
- Children's Mercy Hospital and University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
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Hu T, Kong Y, Tan Y, Ma P, Wang J, Sun X, Xiang K, Mao B, Wu Q, Yi SV, Shi L. Cis-Regulatory Evolution of CCNB1IP1 Driving Gradual Increase of Cortical Size and Folding in primates. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.12.08.627376. [PMID: 39713381 PMCID: PMC11661109 DOI: 10.1101/2024.12.08.627376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2024]
Abstract
Neocortex expansion has a concerted relationship with folding, underlying evolution of human cognitive functions. However, molecular mechanisms underlying this significant evolutionary process remains unknown. Here, using tree shrew as an outgroup of primates, we identify a new regulator CCNB1IP1, which acquired its expression before the emergence of primates. Following the evolution of cis-regulatory elements, the CCNB1IP1 expression has steadily increased over the course of primate brain evolution, mirroring the gradual increase of neocortex. Mechanistically, we elucidated that CCNB1IP1 expression can cause an increase in neural progenitors through shortening G1 phase. Consistently, the CCNB1IP1 knock-in mouse model exhibited traits associated with enhanced learning and memory abilities. Together, our study reveals how changes in CCNB1IP1 expression may have contributed to the gradual evolution in primate brain.
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Affiliation(s)
- Ting Hu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, P.R. China
| | - Yifan Kong
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, P.R. China
| | - Yulian Tan
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
| | - Pengcheng Ma
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
| | - Jianhong Wang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, P.R. China
| | - Xuelian Sun
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing 100101, China
| | - Kun Xiang
- The First People’s Hospital of Yunnan Province, Kunming, Yunnan, 650034, P.R. China
| | - Bingyu Mao
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
| | - Qingfeng Wu
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing 100101, China
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing 100045, China
| | - Soojin V. Yi
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, USA
- Department of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, CA, USA
- Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA
| | - Lei Shi
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
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5
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Moffat A, Schuurmans C. The Control of Cortical Folding: Multiple Mechanisms, Multiple Models. Neuroscientist 2024; 30:704-722. [PMID: 37621149 PMCID: PMC11558946 DOI: 10.1177/10738584231190839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
The cerebral cortex develops through a carefully conscripted series of cellular and molecular events that culminate in the production of highly specialized neuronal and glial cells. During development, cortical neurons and glia acquire a precise cellular arrangement and architecture to support higher-order cognitive functioning. Decades of study using rodent models, naturally gyrencephalic animal models, human pathology specimens, and, recently, human cerebral organoids, reveal that rodents recapitulate some but not all the cellular and molecular features of human cortices. Whereas rodent cortices are smooth-surfaced or lissencephalic, larger mammals, including humans and nonhuman primates, have highly folded/gyrencephalic cortices that accommodate an expansion in neuronal mass and increase in surface area. Several genes have evolved to drive cortical gyrification, arising from gene duplications or de novo origins, or by alterations to the structure/function of ancestral genes or their gene regulatory regions. Primary cortical folds arise in stereotypical locations, prefigured by a molecular "blueprint" that is set up by several signaling pathways (e.g., Notch, Fgf, Wnt, PI3K, Shh) and influenced by the extracellular matrix. Mutations that affect neural progenitor cell proliferation and/or neurogenesis, predominantly of upper-layer neurons, perturb cortical gyrification. Below we review the molecular drivers of cortical folding and their roles in disease.
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Affiliation(s)
- Alexandra Moffat
- Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Carol Schuurmans
- Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Biochemistry, University of Toronto, Toronto, ON, Canada
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Tynianskaia L, Heide M. Human-specific genetic hallmarks in neocortical development: focus on neural progenitors. Curr Opin Genet Dev 2024; 89:102267. [PMID: 39378630 PMCID: PMC7617552 DOI: 10.1016/j.gde.2024.102267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 08/07/2024] [Accepted: 09/15/2024] [Indexed: 10/10/2024]
Abstract
The evolutionary expansion of the neocortex in the ape lineage is the basis for the development of higher cognitive abilities. However, the human brain has uniquely increased in size and degree of folding, forming an essential foundation for advanced cognitive functions. This raises the question: what factors distinguish humans from our closest living primate relatives, such as chimpanzees and bonobos, which exhibit comparatively constrained cognitive capabilities? In this review, we focus on recent studies examining (modern) human-specific genetic traits that influence neural progenitor cells, whose behavior and activity are crucial for shaping cortical morphology. We emphasize the role of human-specific genetic modifications in signaling pathways that enhance the abundance of apical and basal progenitors, as well as the importance of basal progenitor metabolism in their proliferation in human. Additionally, we discuss how changes in neuron morphology contribute to the evolution of human cognition and provide our perspective on future directions in the field.
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Affiliation(s)
- Lidiia Tynianskaia
- German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, 37077Göttingen, Germany
| | - Michael Heide
- German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, 37077Göttingen, Germany
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Guitart X, Porubsky D, Yoo D, Dougherty ML, Dishuck PC, Munson KM, Lewis AP, Hoekzema K, Knuth J, Chang S, Pastinen T, Eichler EE. Independent expansion, selection, and hypervariability of the TBC1D3 gene family in humans. Genome Res 2024; 34:1798-1810. [PMID: 39107043 DOI: 10.1101/gr.279299.124] [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: 03/08/2024] [Accepted: 07/29/2024] [Indexed: 08/09/2024]
Abstract
TBC1D3 is a primate-specific gene family that has expanded in the human lineage and has been implicated in neuronal progenitor proliferation and expansion of the frontal cortex. The gene family and its expression have been challenging to investigate because it is embedded in high-identity and highly variable segmental duplications. We sequenced and assembled the gene family using long-read sequencing data from 34 humans and 11 nonhuman primate species. Our analysis shows that this particular gene family has independently duplicated in at least five primate lineages, and the duplicated loci are enriched at sites of large-scale chromosomal rearrangements on Chromosome 17. We find that all human copy-number variation maps to two distinct clusters located at Chromosome 17q12 and that humans are highly structurally variable at this locus, differing by as many as 20 copies and ∼1 Mbp in length depending on haplotypes. We also show evidence of positive selection, as well as a significant change in the predicted human TBC1D3 protein sequence. Last, we find that, despite multiple duplications, human TBC1D3 expression is limited to a subset of copies and, most notably, from a single paralog group: TBC1D3-CDKL These observations may help explain why a gene potentially important in cortical development can be so variable in the human population.
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Affiliation(s)
- Xavi Guitart
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Max L Dougherty
- Tisch Cancer Institute, Division of Hematology and Medical Oncology, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Jordan Knuth
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Stephen Chang
- Department of Biochemistry
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, California 94305, USA
| | - Tomi Pastinen
- Department of Pediatrics, Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, Missouri 64108, USA
- Department of Pediatrics, School of Medicine, University of Missouri Kansas City, Kansas City, Missouri 64108, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA;
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
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Imamura M, Yoshino M, Kawasaki H. Investigation of the development and evolution of the mammalian cerebrum using gyrencephalic ferrets. Eur J Cell Biol 2024; 103:151466. [PMID: 39546916 DOI: 10.1016/j.ejcb.2024.151466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Revised: 11/02/2024] [Accepted: 11/06/2024] [Indexed: 11/17/2024] Open
Abstract
Mammalian brains have evolved a neocortex, which has diverged in size and morphology in different species over the course of evolution. In some mammals, a substantial increase in the number of neurons and glial cells resulted in the expansion and folding of the cerebrum, and it is believed that these evolutionary changes contributed to the acquisition of higher cognitive abilities in mammals. However, their underlying molecular and cellular mechanisms remain insufficiently elucidated. A major difficulty in addressing these mechanisms stemmed from the lack of appropriate animal models, as conventional experimental animals such as mice and rats have small brains without structurally obvious folds. Therefore, researchers including us have focused on using ferrets instead of mice and rats. Ferrets are domesticated carnivorous mammals with a gyrencephalic cerebrum, and, notably, they are amenable to genetic manipulations including in utero electroporation to knock out genes in the cerebrum. In this review, we highlight recent research into the mechanisms underlying the development and evolution of cortical folds using ferrets.
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Affiliation(s)
- Masanori Imamura
- Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa 920-8640, Japan; Sapiens Life Sciences, Evolution and Medicine Research Center, Kanazawa University, Kanazawa, Ishikawa 920-8640, Japan
| | - Mayuko Yoshino
- Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa 920-8640, Japan; Sapiens Life Sciences, Evolution and Medicine Research Center, Kanazawa University, Kanazawa, Ishikawa 920-8640, Japan
| | - Hiroshi Kawasaki
- Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa 920-8640, Japan; Sapiens Life Sciences, Evolution and Medicine Research Center, Kanazawa University, Kanazawa, Ishikawa 920-8640, Japan.
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Lancaster MA. Unraveling mechanisms of human brain evolution. Cell 2024; 187:5838-5857. [PMID: 39423803 PMCID: PMC7617105 DOI: 10.1016/j.cell.2024.08.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 06/19/2024] [Accepted: 08/28/2024] [Indexed: 10/21/2024]
Abstract
Evolutionary changes in human brain structure and function have enabled our specialized cognitive abilities. How these changes have come about genetically and functionally has remained an open question. However, new methods are providing a wealth of information about the genetic, epigenetic, and transcriptomic differences that set the human brain apart. Combined with in vitro models that allow access to developing brain tissue and the cells of our closest living relatives, the puzzle pieces are now coming together to yield a much more complete picture of what is actually unique about the human brain. The challenge now will be linking these observations and making the jump from correlation to causation. However, elegant genetic manipulations are now possible and, when combined with model systems such as organoids, will uncover a mechanistic understanding of how evolutionary changes at the genetic level have led to key differences in development and function that enable human cognition.
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Affiliation(s)
- Madeline A Lancaster
- MRC Laboratory of Molecular Biology, Cambridge, UK; Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
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10
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Ruiz-Orera J, Miller DC, Greiner J, Genehr C, Grammatikaki A, Blachut S, Mbebi J, Patone G, Myronova A, Adami E, Dewani N, Liang N, Hummel O, Muecke MB, Hildebrandt TB, Fritsch G, Schrade L, Zimmermann WH, Kondova I, Diecke S, van Heesch S, Hübner N. Evolution of translational control and the emergence of genes and open reading frames in human and non-human primate hearts. NATURE CARDIOVASCULAR RESEARCH 2024; 3:1217-1235. [PMID: 39317836 PMCID: PMC11473369 DOI: 10.1038/s44161-024-00544-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 08/28/2024] [Indexed: 09/26/2024]
Abstract
Evolutionary innovations can be driven by changes in the rates of RNA translation and the emergence of new genes and small open reading frames (sORFs). In this study, we characterized the transcriptional and translational landscape of the hearts of four primate and two rodent species through integrative ribosome and transcriptomic profiling, including adult left ventricle tissues and induced pluripotent stem cell-derived cardiomyocyte cell cultures. We show here that the translational efficiencies of subunits of the mitochondrial oxidative phosphorylation chain complexes IV and V evolved rapidly across mammalian evolution. Moreover, we discovered hundreds of species-specific and lineage-specific genomic innovations that emerged during primate evolution in the heart, including 551 genes, 504 sORFs and 76 evolutionarily conserved genes displaying human-specific cardiac-enriched expression. Overall, our work describes the evolutionary processes and mechanisms that have shaped cardiac transcription and translation in recent primate evolution and sheds light on how these can contribute to cardiac development and disease.
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Affiliation(s)
- Jorge Ruiz-Orera
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
| | - Duncan C Miller
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Technology Platform Pluripotent Stem Cells, Berlin, Germany
| | - Johannes Greiner
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Carolin Genehr
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Technology Platform Pluripotent Stem Cells, Berlin, Germany
| | - Aliki Grammatikaki
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Susanne Blachut
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Jeanne Mbebi
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Giannino Patone
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Anna Myronova
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Eleonora Adami
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Nikita Dewani
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Ning Liang
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Oliver Hummel
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Michael B Muecke
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Thomas B Hildebrandt
- Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
- Freie Universitaet Berlin, Berlin, Germany
| | - Guido Fritsch
- Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Lisa Schrade
- Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Wolfram H Zimmermann
- Institute of Pharmacology and Toxicology, University Medical Center Göttingen, Göttingen, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Lower Saxony, Göttingen, Germany
- DZNE (German Center for Neurodegenerative Diseases), Göttingen, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), Göttingen, Germany
| | - Ivanela Kondova
- Biomedical Primate Research Centre (BPRC), Rijswijk, The Netherlands
| | - Sebastian Diecke
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Technology Platform Pluripotent Stem Cells, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Sebastiaan van Heesch
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Norbert Hübner
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
- Charité-Universitätsmedizin, Berlin, Germany.
- Helmholtz Institute for Translational AngioCardioScience (HI-TAC) of the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) at Heidelberg University, Heidelberg, Germany.
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11
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Namba T, Huttner WB. What Makes Us Human: Insights from the Evolution and Development of the Human Neocortex. Annu Rev Cell Dev Biol 2024; 40:427-452. [PMID: 39356810 DOI: 10.1146/annurev-cellbio-112122-032521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2024]
Abstract
"What makes us human?" is a central question of many research fields, notably anthropology. In this review, we focus on the development of the human neocortex, the part of the brain with a key role in cognition, to gain neurobiological insight toward answering this question. We first discuss cortical stem and progenitor cells and human-specific genes that affect their behavior. We thus aim to understand the molecular foundation of the expansion of the neocortex that occurred in the course of human evolution, as this expansion is generally thought to provide a basis for our unique cognitive abilities. We then review the emerging evidence pointing to differences in the development of the neocortex between present-day humans and Neanderthals, our closest relatives. Finally, we discuss human-specific genes that have been implicated in neuronal circuitry and offer a perspective for future studies addressing the question of what makes us human.
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Affiliation(s)
- Takashi Namba
- Neuroscience Center, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Wieland B Huttner
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany;
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12
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Uribe-Salazar JM, Kaya G, Weyenberg K, Radke B, Hino K, Soto DC, Shiu JL, Zhang W, Ingamells C, Haghani NK, Xu E, Rosas J, Simó S, Miesfeld J, Glaser T, Baraban SC, Jao LE, Dennis MY. Zebrafish models of human-duplicated SRGAP2 reveal novel functions in microglia and visual system development. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.11.612570. [PMID: 39314374 PMCID: PMC11418993 DOI: 10.1101/2024.09.11.612570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
The expansion of the human SRGAP2 family, resulting in a human-specific paralog SRGAP2C, likely contributed to altered evolutionary brain features. The introduction of SRGAP2C in mouse models is associated with changes in cortical neuronal migration, axon guidance, synaptogenesis, and sensory-task performance. Truncated SRGAP2C heterodimerizes with the full-length ancestral gene product SRGAP2A and antagonizes its functions. However, the significance of SRGAP2 duplication beyond neocortex development has not been elucidated due to the embryonic lethality of complete Srgap2 knockout in mice. Using zebrafish, we show that srgap2 knockout results in viable offspring and that these larvae phenocopy "humanized" SRGAP2C larvae, including altered morphometric features (i.e., reduced body length and inter-eye distance) and differential expression of synapse-, axonogenesis-, and vision-related genes. Through single-cell transcriptome analysis, we demonstrate a skewed balance of excitatory and inhibitory neurons that likely contribute to increased susceptibility to seizures displayed by Srgap2 mutant larvae, a phenotype resembling SRGAP2 loss-of-function in a child with early infantile epileptic encephalopathy. Single-cell data also shows strong endogenous expression of srgap2 in microglia with mutants exhibiting altered membrane dynamics and likely delayed maturation of microglial cells. Microglia cells expressing srgap2 were also detected in the developing eye together with altered expression of genes related to axonogenesis in mutant retinal cells. Consistent with the perturbed gene expression in the retina, we found that SRGAP2 mutant larvae exhibited increased sensitivity to broad and fine visual cues. Finally, comparing the transcriptomes of relevant cell types between human (+SRGAP2C) and non-human primates (-SRGAP2C) revealed significant overlaps of gene alterations with mutant cells in our zebrafish models; this suggests that SRGAP2C plays a similar role altering microglia and the visual system in modern humans. Together, our functional characterization of conserved ortholog Srgap2 and human SRGAP2C in zebrafish uncovered novel gene functions and highlights the strength of cross-species analysis in understanding the development of human-specific features.
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Affiliation(s)
- José M. Uribe-Salazar
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - Gulhan Kaya
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - KaeChandra Weyenberg
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - Brittany Radke
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - Keiko Hino
- Department of Cell Biology and Human Anatomy, University of California, Davis, CA, USA
| | - Daniela C. Soto
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - Jia-Lin Shiu
- Department of Cell Biology and Human Anatomy, University of California, Davis, CA, USA
| | - Wenzhu Zhang
- Department of Cell Biology and Human Anatomy, University of California, Davis, CA, USA
| | - Cole Ingamells
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - Nicholas K. Haghani
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - Emily Xu
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
| | - Joseph Rosas
- Department of Cell Biology and Human Anatomy, University of California, Davis, CA, USA
| | - Sergi Simó
- Department of Cell Biology and Human Anatomy, University of California, Davis, CA, USA
| | - Joel Miesfeld
- Department of Ophthalmology and Visual Sciences, Medical College of Wisconsin, WI, USA
| | - Tom Glaser
- Department of Cell Biology and Human Anatomy, University of California, Davis, CA, USA
| | - Scott C. Baraban
- Department of Neurological Surgery and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Li-En Jao
- Department of Cell Biology and Human Anatomy, University of California, Davis, CA, USA
| | - Megan Y. Dennis
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
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13
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Soto DC, Uribe-Salazar JM, Kaya G, Valdarrago R, Sekar A, Haghani NK, Hino K, La GN, Mariano NAF, Ingamells C, Baraban AE, Turner TN, Green ED, Simó S, Quon G, Andrés AM, Dennis MY. Gene expansions contributing to human brain evolution. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.26.615256. [PMID: 39386494 PMCID: PMC11463660 DOI: 10.1101/2024.09.26.615256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
Genomic drivers of human-specific neurological traits remain largely undiscovered. Duplicated genes expanded uniquely in the human lineage likely contributed to brain evolution, including the increased complexity of synaptic connections between neurons and the dramatic expansion of the neocortex. Discovering duplicate genes is challenging because the similarity of paralogs makes them prone to sequence-assembly errors. To mitigate this issue, we analyzed a complete telomere-to-telomere human genome sequence (T2T-CHM13) and identified 213 duplicated gene families likely containing human-specific paralogs (>98% identity). Positing that genes important in universal human brain features should exist with at least one copy in all modern humans and exhibit expression in the brain, we narrowed in on 362 paralogs with at least one copy across thousands of ancestrally diverse genomes and present in human brain transcriptomes. Of these, 38 paralogs co-express in gene modules enriched for autism-associated genes and potentially contribute to human language and cognition. We narrowed in on 13 duplicate gene families with human-specific paralogs that are fixed among modern humans and show convincing brain expression patterns. Using long-read DNA sequencing revealed hidden variation across 200 modern humans of diverse ancestries, uncovering signatures of selection not previously identified, including possible balancing selection of CD8B. To understand the roles of duplicated genes in brain development, we generated zebrafish CRISPR "knockout" models of nine orthologs and transiently introduced mRNA-encoding paralogs, effectively "humanizing" the larvae. Morphometric, behavioral, and single-cell RNA-seq screening highlighted, for the first time, a possible role for GPR89B in dosage-mediated brain expansion and FRMPD2B function in altered synaptic signaling, both hallmark features of the human brain. Our holistic approach provides important insights into human brain evolution as well as a resource to the community for studying additional gene expansion drivers of human brain evolution.
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Affiliation(s)
- Daniela C. Soto
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - José M. Uribe-Salazar
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Gulhan Kaya
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Ricardo Valdarrago
- Department of Molecular and Cellular Biology, University of California, Davis, CA 95616, USA
| | - Aarthi Sekar
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Nicholas K. Haghani
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Keiko Hino
- Department of Cell Biology & Human Anatomy, University of California, Davis, CA 95616, USA
| | - Gabriana N. La
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Natasha Ann F. Mariano
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
- Postbaccalaureate Research Education Program, University of California, Davis, CA 95616, USA
| | - Cole Ingamells
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Aidan E. Baraban
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Tychele N. Turner
- Department of Genetics, Washington University School of Medicine, St Louis, MS, 63110, USA
| | - Eric D. Green
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD,20892, USA
| | - Sergi Simó
- Department of Cell Biology & Human Anatomy, University of California, Davis, CA 95616, USA
| | - Gerald Quon
- Genome Center, University of California, Davis, CA 95616, USA
- Department of Molecular and Cellular Biology, University of California, Davis, CA 95616, USA
| | - Aida M. Andrés
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College, London, WC1E 6BT, UK
| | - Megan Y. Dennis
- Department of Biochemistry & Molecular Medicine, MIND Institute, University of California,Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
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14
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Dong J, Zhu XN, Zeng PM, Cao DD, Yang Y, Hu J, Luo ZG. A hominoid-specific signaling axis regulating the tempo of synaptic maturation. Cell Rep 2024; 43:114548. [PMID: 39052482 DOI: 10.1016/j.celrep.2024.114548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 04/15/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024] Open
Abstract
Human cortical neurons (hCNs) exhibit high dendritic complexity and synaptic density, and the maturation process is greatly protracted. However, the molecular mechanism governing these specific features remains unclear. Here, we report that the hominoid-specific gene TBC1D3 promotes dendritic arborization and protracts the pace of synaptogenesis. Ablation of TBC1D3 in induced hCNs causes reduction of dendritic growth and precocious synaptic maturation. Forced expression of TBC1D3 in the mouse cortex protracts synaptic maturation while increasing dendritic growth. Mechanistically, TBC1D3 functions via interaction with MICAL1, a monooxygenase that mediates oxidation of actin filament. At the early stage of differentiation, the TBC1D3/MICAL1 interaction in the cytosol promotes dendritic growth via F-actin oxidation and enhanced actin dynamics. At late stages, TBC1D3 escorts MICAL1 into the nucleus and downregulates the expression of genes related with synaptic maturation through interaction with the chromatin remodeling factor ATRX. Thus, this study delineates the molecular mechanisms underlying human neuron development.
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Affiliation(s)
- Jian Dong
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Xiao-Na Zhu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Peng-Ming Zeng
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Dong-Dong Cao
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Yang Yang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Ji Hu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhen-Ge Luo
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China.
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15
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Thor S. Indirect neurogenesis in space and time. Nat Rev Neurosci 2024; 25:519-534. [PMID: 38951687 DOI: 10.1038/s41583-024-00833-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2024] [Indexed: 07/03/2024]
Abstract
During central nervous system (CNS) development, neural progenitor cells (NPCs) generate neurons and glia in two different ways. In direct neurogenesis, daughter cells differentiate directly into neurons or glia, whereas in indirect neurogenesis, neurons or glia are generated after one or more daughter cell divisions. Intriguingly, indirect neurogenesis is not stochastically deployed and plays instructive roles during CNS development: increased generation of cells from specific lineages; increased generation of early or late-born cell types within a lineage; and increased cell diversification. Increased indirect neurogenesis might contribute to the anterior CNS expansion evident throughout the Bilateria and help to modify brain-region size without requiring increased NPC numbers or extended neurogenesis. Increased indirect neurogenesis could be an evolutionary driver of the gyrencephalic (that is, folded) cortex that emerged during mammalian evolution and might even have increased during hominid evolution. Thus, selection of indirect versus direct neurogenesis provides a powerful developmental and evolutionary instrument that drives not only the evolution of CNS complexity but also brain expansion and modulation of brain-region size, and thereby the evolution of increasingly advanced cognitive abilities. This Review describes indirect neurogenesis in several model species and humans, and highlights some of the molecular genetic mechanisms that control this important process.
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Affiliation(s)
- Stefan Thor
- School of Biomedical Sciences, The University of Queensland, St Lucia, Queensland, Australia.
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16
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Li H, Marin M, Farhat MR. Exploring gene content with pangene graphs. Bioinformatics 2024; 40:btae456. [PMID: 39041615 PMCID: PMC11286280 DOI: 10.1093/bioinformatics/btae456] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 05/28/2024] [Accepted: 07/22/2024] [Indexed: 07/24/2024] Open
Abstract
MOTIVATION The gene content regulates the biology of an organism. It varies between species and between individuals of the same species. Although tools have been developed to identify gene content changes in bacterial genomes, none is applicable to collections of large eukaryotic genomes such as the human pangenome. RESULTS We developed pangene, a computational tool to identify gene orientation, gene order and gene copy-number changes in a collection of genomes. Pangene aligns a set of input protein sequences to the genomes, resolves redundancies between protein sequences and constructs a gene graph with each genome represented as a walk in the graph. It additionally finds subgraphs, which we call bibubbles, that capture gene content changes. Applied to the human pangenome, pangene identifies known gene-level variations and reveals complex haplotypes that are not well studied before. Pangene also works with high-quality bacterial pangenome and reports similar numbers of core and accessory genes in comparison to existing tools. AVAILABILITY AND IMPLEMENTATION Source code at https://github.com/lh3/pangene; pre-built pangene graphs can be downloaded from https://zenodo.org/records/8118576 and visualized at https://pangene.bioinweb.org.
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Affiliation(s)
- Heng Li
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, United States
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02215, Unites States
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States
| | - Maximillian Marin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02215, Unites States
| | - Maha R Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02215, Unites States
- Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, United States
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17
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Jeong H, Dishuck PC, Yoo D, Harvey WT, Munson KM, Lewis AP, Kordosky J, Garcia GH, Human Genome Structural Variation Consortium (HGSVC), Yilmaz F, Hallast P, Lee C, Pastinen T, Eichler EE. Structural polymorphism and diversity of human segmental duplications. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.597452. [PMID: 38895457 PMCID: PMC11185583 DOI: 10.1101/2024.06.04.597452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Segmental duplications (SDs) contribute significantly to human disease, evolution, and diversity yet have been difficult to resolve at the sequence level. We present a population genetics survey of SDs by analyzing 170 human genome assemblies where the majority of SDs are fully resolved using long-read sequence assembly. Excluding the acrocentric short arms, we identify 173.2 Mbp of duplicated sequence (47.4 Mbp not present in the telomere-to-telomere reference) distinguishing fixed from structurally polymorphic events. We find that intrachromosomal SDs are among the most variable with rare events mapping near their progenitor sequences. African genomes harbor significantly more intrachromosomal SDs and are more likely to have recently duplicated gene families with higher copy number when compared to non-African samples. A comparison to a resource of 563 million full-length Iso-Seq reads identifies 201 novel, potentially protein-coding genes corresponding to these copy number polymorphic SDs.
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Affiliation(s)
- Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Altos Labs, San Diego, CA, USA
| | - Philip C. Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - William T. Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M. Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P. Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jennifer Kordosky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Gage H. Garcia
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Feyza Yilmaz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Tomi Pastinen
- Children’s Mercy Hospital and University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
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18
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Li H, Marin M, Farhat MR. Exploring gene content with pangene graphs. ARXIV 2024:arXiv:2402.16185v3. [PMID: 38463499 PMCID: PMC10925376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Motivation The gene content regulates the biology of an organism. It varies between species and between individuals of the same species. Although tools have been developed to identify gene content changes in bacterial genomes, none is applicable to collections of large eukaryotic genomes such as the human pangenome. Results We developed pangene, a computational tool to identify gene orientation, gene order and gene copy-number changes in a collection of genomes. Pangene aligns a set of input protein sequences to the genomes, resolves redundancies between protein sequences and constructs a gene graph with each genome represented as a walk in the graph. It additionally finds subgraphs, which we call bibubbles, that capture gene content changes. Applied to the human pangenome, pangene identifies known gene-level variations and reveals complex haplotypes that are not well studied before. Pangene also works with high-quality bacterial pangenome and reports similar numbers of core and accessory genes in comparison to existing tools. Availability and implementation Source code at https://github.com/lh3/pangene; pre-built pangene graphs can be downloaded from https://zenodo.org/records/8118576 and visualized at https://pangene.bioinweb.org.
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Affiliation(s)
- Heng Li
- Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA
- Harvard Medical School, 10 Shattuck St, Boston, MA 02215, USA
- Broad Insitute of Harvard and MIT, 415 Main St, Cambridge, MA 02142, USA
| | | | - Maha Reda Farhat
- Harvard Medical School, 10 Shattuck St, Boston, MA 02215, USA
- Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, USA
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19
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Xing L, Gkini V, Nieminen AI, Zhou HC, Aquilino M, Naumann R, Reppe K, Tanaka K, Carmeliet P, Heikinheimo O, Pääbo S, Huttner WB, Namba T. Functional synergy of a human-specific and an ape-specific metabolic regulator in human neocortex development. Nat Commun 2024; 15:3468. [PMID: 38658571 PMCID: PMC11043075 DOI: 10.1038/s41467-024-47437-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 04/02/2024] [Indexed: 04/26/2024] Open
Abstract
Metabolism has recently emerged as a major target of genes implicated in the evolutionary expansion of human neocortex. One such gene is the human-specific gene ARHGAP11B. During human neocortex development, ARHGAP11B increases the abundance of basal radial glia, key progenitors for neocortex expansion, by stimulating glutaminolysis (glutamine-to-glutamate-to-alpha-ketoglutarate) in mitochondria. Here we show that the ape-specific protein GLUD2 (glutamate dehydrogenase 2), which also operates in mitochondria and converts glutamate-to-αKG, enhances ARHGAP11B's ability to increase basal radial glia abundance. ARHGAP11B + GLUD2 double-transgenic bRG show increased production of aspartate, a metabolite essential for cell proliferation, from glutamate via alpha-ketoglutarate and the TCA cycle. Hence, during human evolution, a human-specific gene exploited the existence of another gene that emerged during ape evolution, to increase, via concerted changes in metabolism, progenitor abundance and neocortex size.
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Affiliation(s)
- Lei Xing
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB, Canada.
| | - Vasiliki Gkini
- Neuroscience Center, HiLIFE - Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Anni I Nieminen
- FIMM Metabolomics Unit, Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Hui-Chao Zhou
- Center for Cancer Biology (CCB), VIB-KU Leuven, B-3000, Leuven, Belgium
| | - Matilde Aquilino
- Neuroscience Center, HiLIFE - Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Ronald Naumann
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Katrin Reppe
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Kohichi Tanaka
- Laboratory of Molecular Neuroscience, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Peter Carmeliet
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology, KU Leuven, B-3000, Leuven, Belgium
- Laboratory of Angiogenesis and Vascular Metabolism, Center for Cancer Biology, VIB, B-3000, Leuven, Belgium
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Oskari Heikinheimo
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Human Evolutionary Genomics Unit, Okinawa Institute of Science and Technology, Okinawa, Onna-son, Japan
| | - Wieland B Huttner
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
| | - Takashi Namba
- Neuroscience Center, HiLIFE - Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
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20
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Cubillos P, Ditzer N, Kolodziejczyk A, Schwenk G, Hoffmann J, Schütze TM, Derihaci RP, Birdir C, Köllner JE, Petzold A, Sarov M, Martin U, Long KR, Wimberger P, Albert M. The growth factor EPIREGULIN promotes basal progenitor cell proliferation in the developing neocortex. EMBO J 2024; 43:1388-1419. [PMID: 38514807 PMCID: PMC11021537 DOI: 10.1038/s44318-024-00068-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 03/23/2024] Open
Abstract
Neocortex expansion during evolution is linked to higher numbers of neurons, which are thought to result from increased proliferative capacity and neurogenic potential of basal progenitor cells during development. Here, we show that EREG, encoding the growth factor EPIREGULIN, is expressed in the human developing neocortex and in gorilla cerebral organoids, but not in the mouse neocortex. Addition of EPIREGULIN to the mouse neocortex increases proliferation of basal progenitor cells, whereas EREG ablation in human cortical organoids reduces proliferation in the subventricular zone. Treatment of cortical organoids with EPIREGULIN promotes a further increase in proliferation of gorilla but not of human basal progenitor cells. EPIREGULIN competes with the epidermal growth factor (EGF) to promote proliferation, and inhibition of the EGF receptor abrogates the EPIREGULIN-mediated increase in basal progenitor cells. Finally, we identify putative cis-regulatory elements that may contribute to the observed inter-species differences in EREG expression. Our findings suggest that species-specific regulation of EPIREGULIN expression may contribute to the increased neocortex size of primates by providing a tunable pro-proliferative signal to basal progenitor cells in the subventricular zone.
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Affiliation(s)
- Paula Cubillos
- Center for Regenerative Therapies TU Dresden, TUD Dresden University of Technology, 01307, Dresden, Germany
| | - Nora Ditzer
- Center for Regenerative Therapies TU Dresden, TUD Dresden University of Technology, 01307, Dresden, Germany
| | - Annika Kolodziejczyk
- Center for Regenerative Therapies TU Dresden, TUD Dresden University of Technology, 01307, Dresden, Germany
| | - Gustav Schwenk
- Center for Regenerative Therapies TU Dresden, TUD Dresden University of Technology, 01307, Dresden, Germany
| | - Janine Hoffmann
- Center for Regenerative Therapies TU Dresden, TUD Dresden University of Technology, 01307, Dresden, Germany
| | - Theresa M Schütze
- Center for Regenerative Therapies TU Dresden, TUD Dresden University of Technology, 01307, Dresden, Germany
| | - Razvan P Derihaci
- Department of Gynecology and Obstetrics, TU Dresden, 01307, Dresden, Germany
- National Center for Tumor Diseases, 01307, Dresden, Germany
| | - Cahit Birdir
- Department of Gynecology and Obstetrics, TU Dresden, 01307, Dresden, Germany
- Center for feto/neonatal Health, TU Dresden, 01307, Dresden, Germany
| | - Johannes Em Köllner
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany
| | - Andreas Petzold
- DRESDEN-concept Genome Center, Center for Molecular and Cellular Bioengineering, TUD Dresden University of Technology, 01307, Dresden, Germany
| | - Mihail Sarov
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany
| | - Ulrich Martin
- Leibniz Research Laboratories for Biotechnology and Artificial Organs, Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, 30625, Hannover, Germany
- REBIRTH-Cluster of Excellence, Hannover, Germany
| | - Katherine R Long
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE1 1UL, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL, United Kingdom
| | - Pauline Wimberger
- Department of Gynecology and Obstetrics, TU Dresden, 01307, Dresden, Germany
- National Center for Tumor Diseases, 01307, Dresden, Germany
| | - Mareike Albert
- Center for Regenerative Therapies TU Dresden, TUD Dresden University of Technology, 01307, Dresden, Germany.
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21
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Mao Y, Harvey WT, Porubsky D, Munson KM, Hoekzema K, Lewis AP, Audano PA, Rozanski A, Yang X, Zhang S, Yoo D, Gordon DS, Fair T, Wei X, Logsdon GA, Haukness M, Dishuck PC, Jeong H, Del Rosario R, Bauer VL, Fattor WT, Wilkerson GK, Mao Y, Shi Y, Sun Q, Lu Q, Paten B, Bakken TE, Pollen AA, Feng G, Sawyer SL, Warren WC, Carbone L, Eichler EE. Structurally divergent and recurrently mutated regions of primate genomes. Cell 2024; 187:1547-1562.e13. [PMID: 38428424 PMCID: PMC10947866 DOI: 10.1016/j.cell.2024.01.052] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 11/26/2023] [Accepted: 01/31/2024] [Indexed: 03/03/2024]
Abstract
We sequenced and assembled using multiple long-read sequencing technologies the genomes of chimpanzee, bonobo, gorilla, orangutan, gibbon, macaque, owl monkey, and marmoset. We identified 1,338,997 lineage-specific fixed structural variants (SVs) disrupting 1,561 protein-coding genes and 136,932 regulatory elements, including the most complete set of human-specific fixed differences. We estimate that 819.47 Mbp or ∼27% of the genome has been affected by SVs across primate evolution. We identify 1,607 structurally divergent regions wherein recurrent structural variation contributes to creating SV hotspots where genes are recurrently lost (e.g., CARD, C4, and OLAH gene families) and additional lineage-specific genes are generated (e.g., CKAP2, VPS36, ACBD7, and NEK5 paralogs), becoming targets of rapid chromosomal diversification and positive selection (e.g., RGPD gene family). High-fidelity long-read sequencing has made these dynamic regions of the genome accessible for sequence-level analyses within and between primate species.
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Affiliation(s)
- Yafei Mao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Peter A Audano
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Allison Rozanski
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Xiangyu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David S Gordon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Tyler Fair
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA
| | - Xiaoxi Wei
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Ricardo Del Rosario
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vanessa L Bauer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Bouder, CO, USA
| | - Will T Fattor
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Bouder, CO, USA
| | - Gregory K Wilkerson
- Department of Veterinary Sciences, Michale E. Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA; Department of Clinical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Yuxiang Mao
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Qiang Sun
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Qing Lu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Alex A Pollen
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sara L Sawyer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Bouder, CO, USA
| | - Wesley C Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA; Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA; Institute of Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Lucia Carbone
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA; Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA; Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
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22
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Guitart X, Porubsky D, Yoo D, Dougherty ML, Dishuck PC, Munson KM, Lewis AP, Hoekzema K, Knuth J, Chang S, Pastinen T, Eichler EE. Independent expansion, selection and hypervariability of the TBC1D3 gene family in humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584650. [PMID: 38654825 PMCID: PMC11037872 DOI: 10.1101/2024.03.12.584650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
TBC1D3 is a primate-specific gene family that has expanded in the human lineage and has been implicated in neuronal progenitor proliferation and expansion of the frontal cortex. The gene family and its expression have been challenging to investigate because it is embedded in high-identity and highly variable segmental duplications. We sequenced and assembled the gene family using long-read sequencing data from 34 humans and 11 nonhuman primate species. Our analysis shows that this particular gene family has independently duplicated in at least five primate lineages, and the duplicated loci are enriched at sites of large-scale chromosomal rearrangements on chromosome 17. We find that most humans vary along two TBC1D3 clusters where human haplotypes are highly variable in copy number, differing by as many as 20 copies, and structure (structural heterozygosity 90%). We also show evidence of positive selection, as well as a significant change in the predicted human TBC1D3 protein sequence. Lastly, we find that, despite multiple duplications, human TBC1D3 expression is limited to a subset of copies and, most notably, from a single paralog group: TBC1D3-CDKL. These observations may help explain why a gene potentially important in cortical development can be so variable in the human population.
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Affiliation(s)
- Xavi Guitart
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Max L. Dougherty
- Tisch Cancer Institute, Division of Hematology and Medical Oncology, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Philip C. Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M. Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P. Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jordan Knuth
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Stephen Chang
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA
| | - Tomi Pastinen
- Department of Pediatrics, Genomic Medicine Center, Children’s Mercy Kansas City, Kansas City, MO, USA
- Department of Pediatrics, School of Medicine, University of Missouri Kansas City, Kansas City, MO, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical institute, University of Washington, Seattle, WA, USA
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23
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Dehay C, Huttner WB. Development and evolution of the primate neocortex from a progenitor cell perspective. Development 2024; 151:dev199797. [PMID: 38369736 DOI: 10.1242/dev.199797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
The generation of neurons in the developing neocortex is a major determinant of neocortex size. Crucially, the increase in cortical neuron numbers in the primate lineage, notably in the upper-layer neurons, contributes to increased cognitive abilities. Here, we review major evolutionary changes affecting the apical progenitors in the ventricular zone and focus on the key germinal zone constituting the foundation of neocortical neurogenesis in primates, the outer subventricular zone (OSVZ). We summarize characteristic features of the OSVZ and its key stem cell type, the basal (or outer) radial glia. Next, we concentrate on primate-specific and human-specific genes, expressed in OSVZ-progenitors, the ability of which to amplify these progenitors by targeting the regulation of the cell cycle ultimately underlies the evolutionary increase in upper-layer neurons. Finally, we address likely differences in neocortical development between present-day humans and Neanderthals that are based on human-specific amino acid substitutions in proteins operating in cortical progenitors.
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Affiliation(s)
- Colette Dehay
- Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, F-69500 Bron, France
| | - Wieland B Huttner
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
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24
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Zhuang XL, Shao Y, Chen CY, Zhou L, Yao YG, Cooper DN, Zhang GJ, Wang W, Wu DD. Divergent Evolutionary Rates of Primate Brain Regions as Revealed by Genomics and Transcriptomics. Genome Biol Evol 2024; 16:evae023. [PMID: 38314830 PMCID: PMC10881106 DOI: 10.1093/gbe/evae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 01/05/2024] [Accepted: 01/30/2024] [Indexed: 02/07/2024] Open
Abstract
Although the primate brain contains numerous functionally distinct structures that have experienced diverse genetic changes during the course of evolution and development, these changes remain to be explored in detail. Here we utilize two classic metrics from evolutionary biology, the evolutionary rate index (ERI) and the transcriptome age index (TAI), to investigate the evolutionary alterations that have occurred in each area and developmental stage of the primate brain. We observed a higher evolutionary rate for those genes expressed in the non-cortical areas during primate evolution, particularly in human, with the highest rate of evolution being exhibited at brain developmental stages between late infancy and early childhood. Further, the transcriptome age of the non-cortical areas was lower than that of the cerebral cortex, with the youngest age apparent at brain developmental stages between late infancy and early childhood. Our exploration of the evolutionary patterns manifest in each brain area and developmental stage provides important reference points for further research into primate brain evolution.
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Affiliation(s)
- Xiao-Lin Zhuang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming 650204, China
| | - Yong Shao
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming 650204, China
| | - Chun-Yan Chen
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China
| | - Long Zhou
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310000, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou 310000, China
| | - Yong-Gang Yao
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming 650204, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650107, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Guo-Jie Zhang
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310000, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou 310000, China
| | - Wen Wang
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China
| | - Dong-Dong Wu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650107, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
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25
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Barresi M, Hickmott RA, Bosakhar A, Quezada S, Quigley A, Kawasaki H, Walker D, Tolcos M. Toward a better understanding of how a gyrified brain develops. Cereb Cortex 2024; 34:bhae055. [PMID: 38425213 DOI: 10.1093/cercor/bhae055] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 03/02/2024] Open
Abstract
The size and shape of the cerebral cortex have changed dramatically across evolution. For some species, the cortex remains smooth (lissencephalic) throughout their lifetime, while for other species, including humans and other primates, the cortex increases substantially in size and becomes folded (gyrencephalic). A folded cortex boasts substantially increased surface area, cortical thickness, and neuronal density, and it is therefore associated with higher-order cognitive abilities. The mechanisms that drive gyrification in some species, while others remain lissencephalic despite many shared neurodevelopmental features, have been a topic of investigation for many decades, giving rise to multiple perspectives of how the gyrified cerebral cortex acquires its unique shape. Recently, a structurally unique germinal layer, known as the outer subventricular zone, and the specialized cell type that populates it, called basal radial glial cells, were identified, and these have been shown to be indispensable for cortical expansion and folding. Transcriptional analyses and gene manipulation models have provided an invaluable insight into many of the key cellular and genetic drivers of gyrification. However, the degree to which certain biomechanical, genetic, and cellular processes drive gyrification remains under investigation. This review considers the key aspects of cerebral expansion and folding that have been identified to date and how theories of gyrification have evolved to incorporate this new knowledge.
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Affiliation(s)
- Mikaela Barresi
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
| | - Ryan Alexander Hickmott
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
| | - Abdulhameed Bosakhar
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Sebastian Quezada
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Anita Quigley
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
- School of Engineering, RMIT University, La Trobe Street, Melbourne, VIC 3000, Australia
- Department of Medicine, University of Melbourne, St Vincent's Hospital, Regent Street, Fitzroy, VIC 3065, Australia
| | - Hiroshi Kawasaki
- Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, Takara-machi 13-1, Kanazawa, Ishikawa 920-8640, Japan
| | - David Walker
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Mary Tolcos
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
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26
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Sokpor G, Kerimoglu C, Ulmke PA, Pham L, Nguyen HD, Brand-Saberi B, Staiger JF, Fischer A, Nguyen HP, Tuoc T. H3 Acetylation-Induced Basal Progenitor Generation and Neocortex Expansion Depends on the Transcription Factor Pax6. BIOLOGY 2024; 13:68. [PMID: 38392287 PMCID: PMC10886678 DOI: 10.3390/biology13020068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 02/24/2024]
Abstract
Enrichment of basal progenitors (BPs) in the developing neocortex is a central driver of cortical enlargement. The transcription factor Pax6 is known as an essential regulator in generation of BPs. H3 lysine 9 acetylation (H3K9ac) has emerged as a crucial epigenetic mechanism that activates the gene expression program required for BP pool amplification. In this current work, we applied immunohistochemistry, RNA sequencing, chromatin immunoprecipitation and sequencing, and the yeast two-hybrid assay to reveal that the BP-genic effect of H3 acetylation is dependent on Pax6 functionality in the developing mouse cortex. In the presence of Pax6, increased H3 acetylation caused BP pool expansion, leading to enhanced neurogenesis, which evoked expansion and quasi-convolution of the mouse neocortex. Interestingly, H3 acetylation activation exacerbates the BP depletion and corticogenesis reduction effect of Pax6 ablation in cortex-specific Pax6 mutants. Furthermore, we found that H3K9 acetyltransferase KAT2A/GCN5 interacts with Pax6 and potentiates Pax6-dependent transcriptional activity. This explains a genome-wide lack of H3K9ac, especially in the promoter regions of BP-genic genes, in the Pax6 mutant cortex. Together, these findings reveal a mechanistic coupling of H3 acetylation and Pax6 in orchestrating BP production and cortical expansion through the promotion of a BP gene expression program during cortical development.
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Affiliation(s)
- Godwin Sokpor
- Department of Human Genetics, Ruhr University of Bochum, 44791 Bochum, Germany
- Lincoln Medical School, University of Lincoln, Lincoln LN6 7TS, UK
| | - Cemil Kerimoglu
- German Center for Neurodegenerative Diseases, 37077 Goettingen, Germany
| | | | - Linh Pham
- Department of Human Genetics, Ruhr University of Bochum, 44791 Bochum, Germany
| | - Hoang Duy Nguyen
- Department of Human Genetics, Ruhr University of Bochum, 44791 Bochum, Germany
| | - Beate Brand-Saberi
- Department of Anatomy and Molecular Embryology, Institute of Anatomy, Medical Faculty, Ruhr University Bochum, 44801 Bochum, Germany
| | - Jochen F Staiger
- Institute for Neuroanatomy, University Medical Center, Georg-August-University Goettingen, 37075 Goettingen, Germany
| | - Andre Fischer
- German Center for Neurodegenerative Diseases, 37077 Goettingen, Germany
| | - Huu Phuc Nguyen
- Department of Human Genetics, Ruhr University of Bochum, 44791 Bochum, Germany
| | - Tran Tuoc
- Department of Human Genetics, Ruhr University of Bochum, 44791 Bochum, Germany
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27
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Naaldijk Y, Fernández B, Fasiczka R, Fdez E, Leghay C, Croitoru I, Kwok JB, Boulesnane Y, Vizeneux A, Mutez E, Calvez C, Destée A, Taymans JM, Aragon AV, Yarza AB, Padmanabhan S, Delgado M, Alcalay RN, Chatterton Z, Dzamko N, Halliday G, Ruiz-Martínez J, Chartier-Harlin MC, Hilfiker S. A potential patient stratification biomarker for Parkinson´s disease based on LRRK2 kinase-mediated centrosomal alterations in peripheral blood-derived cells. NPJ Parkinsons Dis 2024; 10:12. [PMID: 38191886 PMCID: PMC10774440 DOI: 10.1038/s41531-023-00624-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 12/14/2023] [Indexed: 01/10/2024] Open
Abstract
Parkinson´s disease (PD) is a common neurodegenerative movement disorder and leucine-rich repeat kinase 2 (LRRK2) is a promising therapeutic target for disease intervention. However, the ability to stratify patients who will benefit from such treatment modalities based on shared etiology is critical for the success of disease-modifying therapies. Ciliary and centrosomal alterations are commonly associated with pathogenic LRRK2 kinase activity and can be detected in many cell types. We previously found centrosomal deficits in immortalized lymphocytes from G2019S-LRRK2 PD patients. Here, to investigate whether such deficits may serve as a potential blood biomarker for PD which is susceptible to LRKK2 inhibitor treatment, we characterized patient-derived cells from distinct PD cohorts. We report centrosomal alterations in peripheral cells from a subset of early-stage idiopathic PD patients which is mitigated by LRRK2 kinase inhibition, supporting a role for aberrant LRRK2 activity in idiopathic PD. Centrosomal defects are detected in R1441G-LRRK2 and G2019S-LRRK2 PD patients and in non-manifesting LRRK2 mutation carriers, indicating that they accumulate prior to a clinical PD diagnosis. They are present in immortalized cells as well as in primary lymphocytes from peripheral blood. These findings indicate that analysis of centrosomal defects as a blood-based patient stratification biomarker may help nominate idiopathic PD patients who will benefit from LRRK2-related therapeutics.
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Affiliation(s)
- Yahaira Naaldijk
- Department. of Anesthesiology and Department. of Physiology, Pharmacology and Neuroscience, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA
| | - Belén Fernández
- Institute of Parasitology and Biomedicine ´López-Neyra¨, Consejo Superior de Investigaciones Científicas (CSIC), 18016, Granada, Spain
| | - Rachel Fasiczka
- Department. of Anesthesiology and Department. of Physiology, Pharmacology and Neuroscience, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA
| | - Elena Fdez
- Institute of Parasitology and Biomedicine ´López-Neyra¨, Consejo Superior de Investigaciones Científicas (CSIC), 18016, Granada, Spain
| | - Coline Leghay
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog - Lille Neuroscience & Cognition, F-59000, Lille, France
| | - Ioana Croitoru
- Biodonostia Health Research Institute (IIS Biodonostia), San Sebastain, Spain
| | - John B Kwok
- School of Medical Sciences, Faculty of Medicine and Health and the Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Yanisse Boulesnane
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog - Lille Neuroscience & Cognition, F-59000, Lille, France
| | - Amelie Vizeneux
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog - Lille Neuroscience & Cognition, F-59000, Lille, France
| | - Eugenie Mutez
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog - Lille Neuroscience & Cognition, F-59000, Lille, France
| | - Camille Calvez
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog - Lille Neuroscience & Cognition, F-59000, Lille, France
| | - Alain Destée
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog - Lille Neuroscience & Cognition, F-59000, Lille, France
| | - Jean-Marc Taymans
- Univ. Lille, Inserm, CHU Lille, UMR-S 1172 - LilNCog - Lille Neuroscience & Cognition, F-59000, Lille, France
| | | | - Alberto Bergareche Yarza
- Biodonostia Health Research Institute (IIS Biodonostia), San Sebastain, Spain
- Donostia University Hospital, San Sebastian, Spain
| | | | - Mario Delgado
- Institute of Parasitology and Biomedicine ´López-Neyra¨, Consejo Superior de Investigaciones Científicas (CSIC), 18016, Granada, Spain
| | - Roy N Alcalay
- Department. of Neurology, Colsumbia University Medical Center, New York, NY, USA
- Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Zac Chatterton
- School of Medical Sciences, Faculty of Medicine and Health and the Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Nicolas Dzamko
- School of Medical Sciences, Faculty of Medicine and Health and the Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Glenda Halliday
- School of Medical Sciences, Faculty of Medicine and Health and the Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Javier Ruiz-Martínez
- Biodonostia Health Research Institute (IIS Biodonostia), San Sebastain, Spain
- Donostia University Hospital, San Sebastian, Spain
| | | | - Sabine Hilfiker
- Department. of Anesthesiology and Department. of Physiology, Pharmacology and Neuroscience, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA.
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Abstract
Brain development in humans is achieved through precise spatiotemporal genetic control, the mechanisms of which remain largely elusive. Recently, integration of technological advances in human stem cell-based modelling with genome editing has emerged as a powerful platform to establish causative links between genotypes and phenotypes directly in the human system. Here, we review our current knowledge of complex genetic regulation of each key step of human brain development through the lens of evolutionary specialization and neurodevelopmental disorders and highlight the use of human stem cell-derived 2D cultures and 3D brain organoids to investigate human-enriched features and disease mechanisms. We also discuss opportunities and challenges of integrating new technologies to reveal the genetic architecture of human brain development and disorders.
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Affiliation(s)
- Yi Zhou
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, USA
- The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Guo-Li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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29
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Akula SK, Exposito-Alonso D, Walsh CA. Shaping the brain: The emergence of cortical structure and folding. Dev Cell 2023; 58:2836-2849. [PMID: 38113850 PMCID: PMC10793202 DOI: 10.1016/j.devcel.2023.11.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 04/08/2023] [Accepted: 11/10/2023] [Indexed: 12/21/2023]
Abstract
The cerebral cortex-the brain's covering and largest region-has increased in size and complexity in humans and supports higher cognitive functions such as language and abstract thinking. There is a growing understanding of the human cerebral cortex, including the diversity and number of cell types that it contains, as well as of the developmental mechanisms that shape cortical structure and organization. In this review, we discuss recent progress in our understanding of molecular and cellular processes, as well as mechanical forces, that regulate the folding of the cerebral cortex. Advances in human genetics, coupled with experimental modeling in gyrencephalic species, have provided insights into the central role of cortical progenitors in the gyrification and evolutionary expansion of the cerebral cortex. These studies are essential for understanding the emergence of structural and functional organization during cortical development and the pathogenesis of neurodevelopmental disorders associated with cortical malformations.
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Affiliation(s)
- Shyam K Akula
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA; Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - David Exposito-Alonso
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA; Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Christopher A Walsh
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA; Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, Maryland, USA.
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30
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Zhang R, Quan H, Wang Y, Luo F. Neurogenesis in primates versus rodents and the value of non-human primate models. Natl Sci Rev 2023; 10:nwad248. [PMID: 38025664 PMCID: PMC10659238 DOI: 10.1093/nsr/nwad248] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/21/2023] [Accepted: 09/10/2023] [Indexed: 12/01/2023] Open
Abstract
Neurogenesis, the process of generating neurons from neural stem cells, occurs during both embryonic and adult stages, with each stage possessing distinct characteristics. Dysfunction in either stage can disrupt normal neural development, impair cognitive functions, and lead to various neurological disorders. Recent technological advancements in single-cell multiomics and gene-editing have facilitated investigations into primate neurogenesis. Here, we provide a comprehensive overview of neurogenesis across rodents, non-human primates, and humans, covering embryonic development to adulthood and focusing on the conservation and diversity among species. While non-human primates, especially monkeys, serve as valuable models with closer neural resemblance to humans, we highlight the potential impacts and limitations of non-human primate models on both physiological and pathological neurogenesis research.
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Affiliation(s)
- Runrui Zhang
- State Key Laboratory of Primate Biomedical Research; Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Hongxin Quan
- State Key Laboratory of Primate Biomedical Research; Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Yinfeng Wang
- State Key Laboratory of Primate Biomedical Research; Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Fucheng Luo
- State Key Laboratory of Primate Biomedical Research; Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
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31
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Matrongolo MJ, Ho-Nguyen KT, Jain M, Ang PS, Reddy A, Schaper S, Tischfield MA. Loss of Twist1 and balanced retinoic acid signaling from the meninges causes cortical folding in mice. Development 2023; 150:dev201381. [PMID: 37590085 PMCID: PMC11296311 DOI: 10.1242/dev.201381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 08/08/2023] [Indexed: 08/18/2023]
Abstract
Secondary lissencephaly evolved in mice due to effects on neurogenesis and the tangential distribution of neurons. Signaling pathways that help maintain lissencephaly are still poorly understood. We show that inactivating Twist1 in the primitive meninges causes cortical folding in mice. Cell proliferation in the meninges is reduced, causing loss of arachnoid fibroblasts that express Raldh2, an enzyme required for retinoic acid synthesis. Regionalized loss of Raldh2 in the dorsolateral meninges is first detected when folding begins. The ventricular zone expands and the forebrain lengthens at this time due to expansion of apical radial glia. As the cortex expands, regionalized differences in the levels of neurogenesis are coupled with changes to the tangential distribution of neurons. Consequentially, cortical growth at and adjacent to the midline accelerates with respect to more dorsolateral regions, resulting in cortical buckling and folding. Maternal retinoic acid supplementation suppresses cortical folding by normalizing forebrain length, neurogenesis and the tangential distribution of neurons. These results suggest that Twist1 and balanced retinoic acid signaling from the meninges are required to maintain normal levels of neurogenesis and lissencephaly in mice.
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Affiliation(s)
- Matt J. Matrongolo
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA
- Child Health Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Khue-Tu Ho-Nguyen
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA
- Child Health Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Manav Jain
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA
- Child Health Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Phillip S. Ang
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA
- Child Health Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
- University of Chicago Pritzker School of Medicine, Chicago, IL 60637, USA
| | - Akash Reddy
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA
- Child Health Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Samantha Schaper
- Child Health Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Max A. Tischfield
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA
- Child Health Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
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32
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Soto DC, Uribe-Salazar JM, Shew CJ, Sekar A, McGinty S, Dennis MY. Genomic structural variation: A complex but important driver of human evolution. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 181 Suppl 76:118-144. [PMID: 36794631 PMCID: PMC10329998 DOI: 10.1002/ajpa.24713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 01/21/2023] [Accepted: 02/05/2023] [Indexed: 02/17/2023]
Abstract
Structural variants (SVs)-including duplications, deletions, and inversions of DNA-can have significant genomic and functional impacts but are technically difficult to identify and assay compared with single-nucleotide variants. With the aid of new genomic technologies, it has become clear that SVs account for significant differences across and within species. This phenomenon is particularly well-documented for humans and other primates due to the wealth of sequence data available. In great apes, SVs affect a larger number of nucleotides than single-nucleotide variants, with many identified SVs exhibiting population and species specificity. In this review, we highlight the importance of SVs in human evolution by (1) how they have shaped great ape genomes resulting in sensitized regions associated with traits and diseases, (2) their impact on gene functions and regulation, which subsequently has played a role in natural selection, and (3) the role of gene duplications in human brain evolution. We further discuss how to incorporate SVs in research, including the strengths and limitations of various genomic approaches. Finally, we propose future considerations in integrating existing data and biospecimens with the ever-expanding SV compendium propelled by biotechnology advancements.
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Affiliation(s)
- Daniela C. Soto
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
- Integrative Genetics and Genomics Graduate Group, University of California, Davis, CA, USA
| | - José M. Uribe-Salazar
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
- Integrative Genetics and Genomics Graduate Group, University of California, Davis, CA, USA
| | - Colin J. Shew
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
- Integrative Genetics and Genomics Graduate Group, University of California, Davis, CA, USA
| | - Aarthi Sekar
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
- Integrative Genetics and Genomics Graduate Group, University of California, Davis, CA, USA
| | - Sean McGinty
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
- Integrative Genetics and Genomics Graduate Group, University of California, Davis, CA, USA
| | - Megan Y. Dennis
- Genome Center, MIND Institute, and Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
- Integrative Genetics and Genomics Graduate Group, University of California, Davis, CA, USA
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33
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Laufer VA, Glover TW, Wilson TE. Applications of advanced technologies for detecting genomic structural variation. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2023; 792:108475. [PMID: 37931775 PMCID: PMC10792551 DOI: 10.1016/j.mrrev.2023.108475] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/07/2023] [Accepted: 11/02/2023] [Indexed: 11/08/2023]
Abstract
Chromosomal structural variation (SV) encompasses a heterogenous class of genetic variants that exerts strong influences on human health and disease. Despite their importance, many structural variants (SVs) have remained poorly characterized at even a basic level, a discrepancy predicated upon the technical limitations of prior genomic assays. However, recent advances in genomic technology can identify and localize SVs accurately, opening new questions regarding SV risk factors and their impacts in humans. Here, we first define and classify human SVs and their generative mechanisms, highlighting characteristics leveraged by various SV assays. We next examine the first-ever gapless assembly of the human genome and the technical process of assembling it, which required third-generation sequencing technologies to resolve structurally complex loci. The new portions of that "telomere-to-telomere" and subsequent pangenome assemblies highlight aspects of SV biology likely to develop in the near-term. We consider the strengths and limitations of the most promising new SV technologies and when they or longstanding approaches are best suited to meeting salient goals in the study of human SV in population-scale genomics research, clinical, and public health contexts. It is a watershed time in our understanding of human SV when new approaches are expected to fundamentally change genomic applications.
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Affiliation(s)
- Vincent A Laufer
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
| | - Thomas W Glover
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
| | - Thomas E Wilson
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
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34
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Vollger MR, Dishuck PC, Harvey WT, DeWitt WS, Guitart X, Goldberg ME, Rozanski AN, Lucas J, Asri M, Munson KM, Lewis AP, Hoekzema K, Logsdon GA, Porubsky D, Paten B, Harris K, Hsieh P, Eichler EE. Increased mutation and gene conversion within human segmental duplications. Nature 2023; 617:325-334. [PMID: 37165237 PMCID: PMC10172114 DOI: 10.1038/s41586-023-05895-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 02/28/2023] [Indexed: 05/12/2023]
Abstract
Single-nucleotide variants (SNVs) in segmental duplications (SDs) have not been systematically assessed because of the limitations of mapping short-read sequencing data1,2. Here we constructed 1:1 unambiguous alignments spanning high-identity SDs across 102 human haplotypes and compared the pattern of SNVs between unique and duplicated regions3,4. We find that human SNVs are elevated 60% in SDs compared to unique regions and estimate that at least 23% of this increase is due to interlocus gene conversion (IGC) with up to 4.3 megabase pairs of SD sequence converted on average per human haplotype. We develop a genome-wide map of IGC donors and acceptors, including 498 acceptor and 454 donor hotspots affecting the exons of about 800 protein-coding genes. These include 171 genes that have 'relocated' on average 1.61 megabase pairs in a subset of human haplotypes. Using a coalescent framework, we show that SD regions are slightly evolutionarily older when compared to unique sequences, probably owing to IGC. SNVs in SDs, however, show a distinct mutational spectrum: a 27.1% increase in transversions that convert cytosine to guanine or the reverse across all triplet contexts and a 7.6% reduction in the frequency of CpG-associated mutations when compared to unique DNA. We reason that these distinct mutational properties help to maintain an overall higher GC content of SD DNA compared to that of unique DNA, probably driven by GC-biased conversion between paralogous sequences5,6.
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Affiliation(s)
- Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - William S DeWitt
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Xavi Guitart
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Michael E Goldberg
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Allison N Rozanski
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Julian Lucas
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Kelley Harris
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - PingHsun Hsieh
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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35
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Abstract
Multiple types of neural progenitor cells (NPCs) contribute to the development of the neocortex, a brain region responsible for our higher cognitive abilities. Proliferative capacity of NPCs varies among NPC types, developmental stages, and species. The higher proliferative capacity of NPCs in the developing human neocortex is thought to be a major contributing factor why humans have the most expanded neocortex within primates. Recent studies have shed light on the importance of cell metabolism in the neocortical NPC proliferative capacity. Specifically, glutaminolysis, a metabolic pathway that converts glutamine to glutamate and then to α-ketoglutarate, has been shown to play a critical role in human NPCs, both in apical and basal progenitors. In this review, we summarize our current knowledge of NPC metabolism, focusing especially on glutaminolysis, and discuss the role of NPC metabolism in neocortical development, evolution, and neurodevelopmental disorders, providing a broader perspective on a newly emerging research field.
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Affiliation(s)
- Vasiliki Gkini
- Neuroscience Center, HiLIFE—Helsinki
Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Takashi Namba
- Neuroscience Center, HiLIFE—Helsinki
Institute of Life Science, University of Helsinki, Helsinki, Finland
- Takashi Namba, Neuroscience Center, HiLIFE
— Helsinki Institute of Life Science, University of Helsinki, PO 63,
Haartmaninkatu 8, Helsinki 00014, Finland.
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36
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Kittock CM, Pilaz LJ. Advances in in utero electroporation. Dev Neurobiol 2023; 83:73-90. [PMID: 36861639 DOI: 10.1002/dneu.22910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/02/2023] [Accepted: 02/21/2023] [Indexed: 03/03/2023]
Abstract
In utero electroporation (IUE) is a technique developed in the early 2000s to transfect the neurons and neural progenitors of embryonic brains, thus enabling continued development in utero and subsequent analyses of neural development. Early IUE experiments focused on ectopic expression of plasmid DNA to analyze parameters such as neuron morphology and migration. Recent advances made in other fields, such as CRISPR/CAS9 genome editing, have been incorporated into IUE techniques as they were developed. Here, we provide a general review of the mechanics and techniques involved in IUE and explore the breadth of approaches that can be used in conjunction with IUE to study cortical development in a rodent model, with a focus on the novel advances in IUE techniques. We also highlight a few cases that exemplify the potential of IUE to study a broad range of questions in neural development.
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Affiliation(s)
- Claire M Kittock
- Pediatrics and Rare Diseases Group, Sanford Research, Sioux Falls, South Dakota, USA
- Sanford School of Medicine, University of South Dakota, Sioux Falls, South Dakota, USA
| | - Louis-Jan Pilaz
- Pediatrics and Rare Diseases Group, Sanford Research, Sioux Falls, South Dakota, USA
- Sanford School of Medicine, University of South Dakota, Sioux Falls, South Dakota, USA
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37
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Kliesmete Z, Wange LE, Vieth B, Esgleas M, Radmer J, Hülsmann M, Geuder J, Richter D, Ohnuki M, Götz M, Hellmann I, Enard W. Regulatory and coding sequences of TRNP1 co-evolve with brain size and cortical folding in mammals. eLife 2023; 12:e83593. [PMID: 36947129 PMCID: PMC10032658 DOI: 10.7554/elife.83593] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 03/01/2023] [Indexed: 03/23/2023] Open
Abstract
Brain size and cortical folding have increased and decreased recurrently during mammalian evolution. Identifying genetic elements whose sequence or functional properties co-evolve with these traits can provide unique information on evolutionary and developmental mechanisms. A good candidate for such a comparative approach is TRNP1, as it controls proliferation of neural progenitors in mice and ferrets. Here, we investigate the contribution of both regulatory and coding sequences of TRNP1 to brain size and cortical folding in over 30 mammals. We find that the rate of TRNP1 protein evolution (ω) significantly correlates with brain size, slightly less with cortical folding and much less with body size. This brain correlation is stronger than for >95% of random control proteins. This co-evolution is likely affecting TRNP1 activity, as we find that TRNP1 from species with larger brains and more cortical folding induce higher proliferation rates in neural stem cells. Furthermore, we compare the activity of putative cis-regulatory elements (CREs) of TRNP1 in a massively parallel reporter assay and identify one CRE that likely co-evolves with cortical folding in Old World monkeys and apes. Our analyses indicate that coding and regulatory changes that increased TRNP1 activity were positively selected either as a cause or a consequence of increases in brain size and cortical folding. They also provide an example how phylogenetic approaches can inform biological mechanisms, especially when combined with molecular phenotypes across several species.
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Affiliation(s)
- Zane Kliesmete
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Lucas Esteban Wange
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Beate Vieth
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Miriam Esgleas
- Physiological Genomics, BioMedical Center - BMC, Ludwig-Maximilians-UniversitätMunichGermany
- Institute for Stem Cell Research, Helmholtz Zentrum München, Germany Research Center for Environmental HealthMunichGermany
| | - Jessica Radmer
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Matthias Hülsmann
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
- Department of Environmental Microbiology, EawagDübendorfSwitzerland
- Department of Environmental Systems Science, ETH ZurichZurichSwitzerland
| | - Johanna Geuder
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Daniel Richter
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Mari Ohnuki
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Magdelena Götz
- Physiological Genomics, BioMedical Center - BMC, Ludwig-Maximilians-UniversitätMunichGermany
- Institute for Stem Cell Research, Helmholtz Zentrum München, Germany Research Center for Environmental HealthMunichGermany
- SYNERGY, Excellence Cluster of Systems Neurology, BioMedical Center (BMC), Ludwig-Maximilians-Universität MünchenMunichGermany
| | - Ines Hellmann
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Wolfgang Enard
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
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38
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Mao Y, Harvey WT, Porubsky D, Munson KM, Hoekzema K, Lewis AP, Audano PA, Rozanski A, Yang X, Zhang S, Gordon DS, Wei X, Logsdon GA, Haukness M, Dishuck PC, Jeong H, Del Rosario R, Bauer VL, Fattor WT, Wilkerson GK, Lu Q, Paten B, Feng G, Sawyer SL, Warren WC, Carbone L, Eichler EE. Structurally divergent and recurrently mutated regions of primate genomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.07.531415. [PMID: 36945442 PMCID: PMC10028934 DOI: 10.1101/2023.03.07.531415] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
To better understand the pattern of primate genome structural variation, we sequenced and assembled using multiple long-read sequencing technologies the genomes of eight nonhuman primate species, including New World monkeys (owl monkey and marmoset), Old World monkey (macaque), Asian apes (orangutan and gibbon), and African ape lineages (gorilla, bonobo, and chimpanzee). Compared to the human genome, we identified 1,338,997 lineage-specific fixed structural variants (SVs) disrupting 1,561 protein-coding genes and 136,932 regulatory elements, including the most complete set of human-specific fixed differences. Across 50 million years of primate evolution, we estimate that 819.47 Mbp or ~27% of the genome has been affected by SVs based on analysis of these primate lineages. We identify 1,607 structurally divergent regions (SDRs) wherein recurrent structural variation contributes to creating SV hotspots where genes are recurrently lost (CARDs, ABCD7, OLAH) and new lineage-specific genes are generated (e.g., CKAP2, NEK5) and have become targets of rapid chromosomal diversification and positive selection (e.g., RGPDs). High-fidelity long-read sequencing has made these dynamic regions of the genome accessible for sequence-level analyses within and between primate species for the first time.
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Affiliation(s)
- Yafei Mao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Peter A Audano
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Allison Rozanski
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Xiangyu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - David S Gordon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Xiaoxi Wei
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Ricardo Del Rosario
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vanessa L Bauer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Will T Fattor
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Gregory K Wilkerson
- Department of Veterinary Sciences, Michale E. Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Qing Lu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sara L Sawyer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Wesley C Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA
- Institute of Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Lucia Carbone
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
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39
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Qi J, Mo F, An NA, Mi T, Wang J, Qi J, Li X, Zhang B, Xia L, Lu Y, Sun G, Wang X, Li C, Hu B. A Human-Specific De Novo Gene Promotes Cortical Expansion and Folding. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204140. [PMID: 36638273 PMCID: PMC9982566 DOI: 10.1002/advs.202204140] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Newly originated de novo genes have been linked to the formation and function of the human brain. However, how a specific gene originates from ancestral noncoding DNAs and becomes involved in the preexisting network for functional outcomes remains elusive. Here, a human-specific de novo gene, SP0535, is identified that is preferentially expressed in the ventricular zone of the human fetal brain and plays an important role in cortical development and function. In human embryonic stem cell-derived cortical organoids, knockout of SP0535 compromises their growth and neurogenesis. In SP0535 transgenic (TG) mice, expression of SP0535 induces fetal cortex expansion and sulci and gyri-like structure formation. The progenitors and neurons in the SP0535 TG mouse cortex tend to proliferate and differentiate in ways that are unique to humans. SP0535 TG adult mice also exhibit improved cognitive ability and working memory. Mechanistically, SP0535 interacts with the membrane protein Na+ /K+ ATPase subunit alpha-1 (ATP1A1) and releases Src from the ATP1A1-Src complex, allowing increased level of Src phosphorylation that promotes cell proliferation. Thus, SP0535 is the first proven human-specific de novo gene that promotes cortical expansion and folding, and can function through incorporating into an existing conserved molecular network.
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Affiliation(s)
- Jianhuan Qi
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Fan Mo
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Ni A. An
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Tingwei Mi
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
| | - Jiaxin Wang
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Jun‐Tian Qi
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Xiangshang Li
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Boya Zhang
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
| | - Longkuo Xia
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Yingfei Lu
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Gaoying Sun
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Xinyue Wang
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Chuan‐Yun Li
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Baoyang Hu
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
- Institute for Stem Cell and RegenerationChinese Academy of SciencesBeijing100101China
- Beijing Institute for Stem Cell and Regenerative MedicineBeijing100101China
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40
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Vanderhaeghen P, Polleux F. Developmental mechanisms underlying the evolution of human cortical circuits. Nat Rev Neurosci 2023; 24:213-232. [PMID: 36792753 PMCID: PMC10064077 DOI: 10.1038/s41583-023-00675-z] [Citation(s) in RCA: 76] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2023] [Indexed: 02/17/2023]
Abstract
The brain of modern humans has evolved remarkable computational abilities that enable higher cognitive functions. These capacities are tightly linked to an increase in the size and connectivity of the cerebral cortex, which is thought to have resulted from evolutionary changes in the mechanisms of cortical development. Convergent progress in evolutionary genomics, developmental biology and neuroscience has recently enabled the identification of genomic changes that act as human-specific modifiers of cortical development. These modifiers influence most aspects of corticogenesis, from the timing and complexity of cortical neurogenesis to synaptogenesis and the assembly of cortical circuits. Mutations of human-specific genetic modifiers of corticogenesis have started to be linked to neurodevelopmental disorders, providing evidence for their physiological relevance and suggesting potential relationships between the evolution of the human brain and its sensitivity to specific diseases.
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Affiliation(s)
- Pierre Vanderhaeghen
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium.
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
| | - Franck Polleux
- Department of Neuroscience, Columbia University Medical Center, New York, NY, USA.
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
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41
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An NA, Zhang J, Mo F, Luan X, Tian L, Shen QS, Li X, Li C, Zhou F, Zhang B, Ji M, Qi J, Zhou WZ, Ding W, Chen JY, Yu J, Zhang L, Shu S, Hu B, Li CY. De novo genes with an lncRNA origin encode unique human brain developmental functionality. Nat Ecol Evol 2023; 7:264-278. [PMID: 36593289 PMCID: PMC9911349 DOI: 10.1038/s41559-022-01925-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 10/04/2022] [Indexed: 01/03/2023]
Abstract
Human de novo genes can originate from neutral long non-coding RNA (lncRNA) loci and are evolutionarily significant in general, yet how and why this all-or-nothing transition to functionality happens remains unclear. Here, in 74 human/hominoid-specific de novo genes, we identified distinctive U1 elements and RNA splice-related sequences accounting for RNA nuclear export, differentiating mRNAs from lncRNAs, and driving the origin of de novo genes from lncRNA loci. The polymorphic sites facilitating the lncRNA-mRNA conversion through regulating nuclear export are selectively constrained, maintaining a boundary that differentiates mRNAs from lncRNAs. The functional new genes actively passing through it thus showed a mode of pre-adaptive origin, in that they acquire functions along with the achievement of their coding potential. As a proof of concept, we verified the regulations of splicing and U1 recognition on the nuclear export efficiency of one of these genes, the ENSG00000205704, in human neural progenitor cells. Notably, knock-out or over-expression of this gene in human embryonic stem cells accelerates or delays the neuronal maturation of cortical organoids, respectively. The transgenic mice with ectopically expressed ENSG00000205704 showed enlarged brains with cortical expansion. We thus demonstrate the key roles of nuclear export in de novo gene origin. These newly originated genes should reflect the novel uniqueness of human brain development.
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Affiliation(s)
- Ni A An
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Jie Zhang
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Fan Mo
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xuke Luan
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Lu Tian
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Qing Sunny Shen
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Xiangshang Li
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Chunqiong Li
- Chinese Institute for Brain Research, Beijing, China
| | - Fanqi Zhou
- State Key Laboratory of Medical Molecular Biology, Key Laboratory of RNA Regulation and Hematopoiesis, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, School of Basic Medicine, CAMS and Peking Union Medical College, Beijing, China
| | - Boya Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Mingjun Ji
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Jianhuan Qi
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wei-Zhen Zhou
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wanqiu Ding
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Jia-Yu Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China
| | - Jia Yu
- State Key Laboratory of Medical Molecular Biology, Key Laboratory of RNA Regulation and Hematopoiesis, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, School of Basic Medicine, CAMS and Peking Union Medical College, Beijing, China
| | - Li Zhang
- Chinese Institute for Brain Research, Beijing, China
| | - Shaokun Shu
- Peking University International Cancer Institute, Beijing, China
| | - Baoyang Hu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Chuan-Yun Li
- Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, Peking University, Beijing, China.
- Chinese Institute for Brain Research, Beijing, China.
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42
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Goo BS, Mun DJ, Kim S, Nhung TTM, Lee SB, Woo Y, Kim SJ, Suh BK, Park SJ, Lee HE, Park K, Jang H, Rah JC, Yoon KJ, Baek ST, Park SY, Park SK. Schizophrenia-associated Mitotic Arrest Deficient-1 (MAD1) regulates the polarity of migrating neurons in the developing neocortex. Mol Psychiatry 2023; 28:856-870. [PMID: 36357673 PMCID: PMC9908555 DOI: 10.1038/s41380-022-01856-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/20/2022] [Accepted: 10/24/2022] [Indexed: 11/11/2022]
Abstract
Although large-scale genome-wide association studies (GWAS) have identified an association between MAD1L1 (Mitotic Arrest Deficient-1 Like 1) and the pathology of schizophrenia, the molecular mechanisms underlying this association remain unclear. In the present study, we aimed to address these mechanisms by examining the role of MAD1 (the gene product of MAD1L1) in key neurodevelopmental processes in mice and human organoids. Our findings indicated that MAD1 is highly expressed during active cortical development and that MAD1 deficiency leads to impairments in neuronal migration and neurite outgrowth. We also observed that MAD1 is localized to the Golgi apparatus and regulates vesicular trafficking from the Golgi apparatus to the plasma membrane, which is required for the growth and polarity of migrating neurons. In this process, MAD1 physically interacts and collaborates with the kinesin-like protein KIFC3 (kinesin family member C3) to regulate the morphology of the Golgi apparatus and neuronal polarity, thereby ensuring proper neuronal migration and differentiation. Consequently, our findings indicate that MAD1 is an essential regulator of neuronal development and that alterations in MAD1 may underlie schizophrenia pathobiology.
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Affiliation(s)
- Bon Seong Goo
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Dong Jin Mun
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Seunghyun Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Truong Thi My Nhung
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Su Been Lee
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Youngsik Woo
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Soo Jeong Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Bo Kyoung Suh
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Sung Jin Park
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Hee-Eun Lee
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Kunyou Park
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Hyunsoo Jang
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Jong-Cheol Rah
- Korea Brain Research Institute, Daegu, 41062, Republic of Korea
| | - Ki-Jun Yoon
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Seung Tae Baek
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Seung-Yeol Park
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
| | - Sang Ki Park
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
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43
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Van Heurck R, Bonnefont J, Wojno M, Suzuki IK, Velez-Bravo FD, Erkol E, Nguyen DT, Herpoel A, Bilheu A, Beckers S, Ledent C, Vanderhaeghen P. CROCCP2 acts as a human-specific modifier of cilia dynamics and mTOR signaling to promote expansion of cortical progenitors. Neuron 2023; 111:65-80.e6. [PMID: 36334595 PMCID: PMC9831670 DOI: 10.1016/j.neuron.2022.10.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/12/2022] [Accepted: 10/09/2022] [Indexed: 11/06/2022]
Abstract
The primary cilium is a central signaling component during embryonic development. Here we focus on CROCCP2, a hominid-specific gene duplicate from ciliary rootlet coiled coil (CROCC), also known as rootletin, that encodes the major component of the ciliary rootlet. We find that CROCCP2 is highly expressed in the human fetal brain and not in other primate species. CROCCP2 gain of function in the mouse embryonic cortex and human cortical cells and organoids results in decreased ciliogenesis and increased cortical progenitor amplification, particularly basal progenitors. CROCCP2 decreases ciliary dynamics by inhibition of the IFT20 ciliary trafficking protein, which then impacts neurogenesis through increased mTOR signaling. Loss of function of CROCCP2 in human cortical cells and organoids leads to increased ciliogenesis, decreased mTOR signaling, and impaired basal progenitor amplification. These data identify CROCCP2 as a human-specific modifier of cortical neurogenesis that acts through modulation of ciliary dynamics and mTOR signaling.
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Affiliation(s)
- Roxane Van Heurck
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium,Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Jérôme Bonnefont
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium,Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Marta Wojno
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium,Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Ikuo K. Suzuki
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium,Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium,Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Fausto D. Velez-Bravo
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium,Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Emir Erkol
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium,Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Dan Truc Nguyen
- Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Adèle Herpoel
- Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Angéline Bilheu
- Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Sofie Beckers
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Catherine Ledent
- Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium
| | - Pierre Vanderhaeghen
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium,Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium,Université Libre de Bruxelles (U.L.B.), Institut de Recherches en Biologie Humaine et Moléculaire (IRIBHM), and ULB Neuroscience Institute (UNI), 1070 Brussels, Belgium,Corresponding author
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Zhao J, Feng C, Wang W, Su L, Jiao J. Human SERPINA3 induces neocortical folding and improves cognitive ability in mice. Cell Discov 2022; 8:124. [DOI: 10.1038/s41421-022-00469-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/13/2022] [Indexed: 11/23/2022] Open
Abstract
AbstractNeocortex expansion and folding are related to human intelligence and cognition, but the molecular and cellular mechanisms underlying cortical folding remain poorly understood. Here, we report that the human gene SERPINA3 is linked to gyrification. Specifically, the overexpression of SERPINA3 induced neocortical folding, increased the abundance of neurons, and improved cognitive abilities. Further, SERPINA3 promoted proliferation of the outer radial glia (oRG, also referred to as the basal radial glia) and increased the number of upper-layer neurons. The downstream target Glo1 was determined to be involved in SERPINA3-induced gyrification. Moreover, SERPINA3 increased the proliferation of oRG by binding to the Glo1 promoter. Assessment of behavior performance showed enhanced cognitive abilities in SERPINA3 knock-in mice. Our findings will enrich the understanding of neocortical expansion and gyrification and provide insights into possible treatments for intellectual disability and lissencephaly syndrome.
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45
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Wang J, Weatheritt R, Voineagu I. Alu-minating the Mechanisms Underlying Primate Cortex Evolution. Biol Psychiatry 2022; 92:760-771. [PMID: 35981906 DOI: 10.1016/j.biopsych.2022.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/04/2022] [Accepted: 04/28/2022] [Indexed: 11/02/2022]
Abstract
The higher-order cognitive functions observed in primates correlate with the evolutionary enhancement of cortical volume and folding, which in turn are driven by the primate-specific expansion of cellular diversity in the developing cortex. Underlying these changes is the diversification of molecular features including the creation of human and/or primate-specific genes, the activation of specific molecular pathways, and the interplay of diverse layers of gene regulation. We review and discuss evidence for connections between Alu elements and primate brain evolution, the evolutionary milestones of which are known to coincide along primate lineages. Alus are repetitive elements that contribute extensively to the acquisition of novel genes and the expansion of diverse gene regulatory layers, including enhancers, alternative splicing, RNA editing, and microRNA pathways. By reviewing the impact of Alus on molecular features linked to cortical expansions or gyrification or implications in cognitive deficits, we suggest that future research focusing on the role of Alu-derived molecular events in the context of brain development may greatly advance our understanding of higher-order cognitive functions and neurologic disorders.
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Affiliation(s)
- Juli Wang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
| | - Robert Weatheritt
- St Vincent Clinical School, University of New South Wales, Sydney, Australia; Garvan Institute of Medical Research, EMBL Australia, Sydney, New South Wales, Australia
| | - Irina Voineagu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia; Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia.
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46
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Eichmüller OL, Knoblich JA. Human cerebral organoids - a new tool for clinical neurology research. Nat Rev Neurol 2022; 18:661-680. [PMID: 36253568 PMCID: PMC9576133 DOI: 10.1038/s41582-022-00723-9] [Citation(s) in RCA: 127] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2022] [Indexed: 11/21/2022]
Abstract
The current understanding of neurological diseases is derived mostly from direct analysis of patients and from animal models of disease. However, most patient studies do not capture the earliest stages of disease development and offer limited opportunities for experimental intervention, so rarely yield complete mechanistic insights. The use of animal models relies on evolutionary conservation of pathways involved in disease and is limited by an inability to recreate human-specific processes. In vitro models that are derived from human pluripotent stem cells cultured in 3D have emerged as a new model system that could bridge the gap between patient studies and animal models. In this Review, we summarize how such organoid models can complement classical approaches to accelerate neurological research. We describe our current understanding of neurodevelopment and how this process differs between humans and other animals, making human-derived models of disease essential. We discuss different methodologies for producing organoids and how organoids can be and have been used to model neurological disorders, including microcephaly, Zika virus infection, Alzheimer disease and other neurodegenerative disorders, and neurodevelopmental diseases, such as Timothy syndrome, Angelman syndrome and tuberous sclerosis. We also discuss the current limitations of organoid models and outline how organoids can be used to revolutionize research into the human brain and neurological diseases.
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Affiliation(s)
- Oliver L Eichmüller
- IMBA-Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria
- University of Heidelberg, Heidelberg, Germany
| | - Juergen A Knoblich
- IMBA-Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria.
- Medical University of Vienna, Department of Neurology, Vienna, Austria.
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47
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Jarvis ED, Formenti G, Rhie A, Guarracino A, Yang C, Wood J, Tracey A, Thibaud-Nissen F, Vollger MR, Porubsky D, Cheng H, Asri M, Logsdon GA, Carnevali P, Chaisson MJP, Chin CS, Cody S, Collins J, Ebert P, Escalona M, Fedrigo O, Fulton RS, Fulton LL, Garg S, Gerton JL, Ghurye J, Granat A, Green RE, Harvey W, Hasenfeld P, Hastie A, Haukness M, Jaeger EB, Jain M, Kirsche M, Kolmogorov M, Korbel JO, Koren S, Korlach J, Lee J, Li D, Lindsay T, Lucas J, Luo F, Marschall T, Mitchell MW, McDaniel J, Nie F, Olsen HE, Olson ND, Pesout T, Potapova T, Puiu D, Regier A, Ruan J, Salzberg SL, Sanders AD, Schatz MC, Schmitt A, Schneider VA, Selvaraj S, Shafin K, Shumate A, Stitziel NO, Stober C, Torrance J, Wagner J, Wang J, Wenger A, Xiao C, Zimin AV, Zhang G, Wang T, Li H, Garrison E, Haussler D, Hall I, Zook JM, Eichler EE, Phillippy AM, Paten B, Howe K, Miga KH, Human Pangenome Reference Consortium. Semi-automated assembly of high-quality diploid human reference genomes. Nature 2022; 611:519-531. [PMID: 36261518 PMCID: PMC9668749 DOI: 10.1038/s41586-022-05325-5] [Citation(s) in RCA: 107] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 09/06/2022] [Indexed: 01/01/2023]
Abstract
The current human reference genome, GRCh38, represents over 20 years of effort to generate a high-quality assembly, which has benefitted society1,2. However, it still has many gaps and errors, and does not represent a biological genome as it is a blend of multiple individuals3,4. Recently, a high-quality telomere-to-telomere reference, CHM13, was generated with the latest long-read technologies, but it was derived from a hydatidiform mole cell line with a nearly homozygous genome5. To address these limitations, the Human Pangenome Reference Consortium formed with the goal of creating high-quality, cost-effective, diploid genome assemblies for a pangenome reference that represents human genetic diversity6. Here, in our first scientific report, we determined which combination of current genome sequencing and assembly approaches yield the most complete and accurate diploid genome assembly with minimal manual curation. Approaches that used highly accurate long reads and parent-child data with graph-based haplotype phasing during assembly outperformed those that did not. Developing a combination of the top-performing methods, we generated our first high-quality diploid reference assembly, containing only approximately four gaps per chromosome on average, with most chromosomes within ±1% of the length of CHM13. Nearly 48% of protein-coding genes have non-synonymous amino acid changes between haplotypes, and centromeric regions showed the highest diversity. Our findings serve as a foundation for assembling near-complete diploid human genomes at scale for a pangenome reference to capture global genetic variation from single nucleotides to structural rearrangements.
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Affiliation(s)
- Erich D. Jarvis
- grid.134907.80000 0001 2166 1519Vertebrate Genome Laboratory, The Rockefeller University, New York, NY USA ,grid.413575.10000 0001 2167 1581Howard Hughes Medical Institute, Chevy Chase, MD USA
| | - Giulio Formenti
- grid.134907.80000 0001 2166 1519Vertebrate Genome Laboratory, The Rockefeller University, New York, NY USA
| | - Arang Rhie
- grid.94365.3d0000 0001 2297 5165Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Andrea Guarracino
- grid.510779.d0000 0004 9414 6915Genomics Research Centre, Human Technopole, Viale Rita Levi-Montalcini, Milan, Italy
| | - Chentao Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | - Jonathan Wood
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Alan Tracey
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Francoise Thibaud-Nissen
- grid.94365.3d0000 0001 2297 5165National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD USA
| | - Mitchell R. Vollger
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - David Porubsky
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Haoyu Cheng
- grid.65499.370000 0001 2106 9910Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Mobin Asri
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Glennis A. Logsdon
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Paolo Carnevali
- grid.507326.50000 0004 6090 4941Chan Zuckerberg Initiative, Redwood City, CA USA
| | - Mark J. P. Chaisson
- grid.42505.360000 0001 2156 6853Quantitative and Computational Biology, University of Southern California, Los Angeles, CA USA
| | | | - Sarah Cody
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Joanna Collins
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Peter Ebert
- grid.411327.20000 0001 2176 9917Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Merly Escalona
- grid.205975.c0000 0001 0740 6917Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA USA
| | - Olivier Fedrigo
- grid.134907.80000 0001 2166 1519Vertebrate Genome Laboratory, The Rockefeller University, New York, NY USA
| | - Robert S. Fulton
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Lucinda L. Fulton
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Shilpa Garg
- grid.5254.60000 0001 0674 042XDepartment of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer L. Gerton
- grid.250820.d0000 0000 9420 1591Stowers Institute for Medical Research, Kansas City, MO USA
| | - Jay Ghurye
- grid.504403.6Dovetail Genomics, Scotts Valley, CA USA
| | | | - Richard E. Green
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - William Harvey
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Patrick Hasenfeld
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Alex Hastie
- grid.470262.50000 0004 0473 1353Bionano Genomics, San Diego, CA USA
| | - Marina Haukness
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Erich B. Jaeger
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA USA
| | - Miten Jain
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Melanie Kirsche
- grid.21107.350000 0001 2171 9311Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | - Mikhail Kolmogorov
- grid.266100.30000 0001 2107 4242Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA USA
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Sergey Koren
- grid.94365.3d0000 0001 2297 5165Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Jonas Korlach
- grid.423340.20000 0004 0640 9878Pacific Biosciences, Menlo Park, CA USA
| | - Joyce Lee
- grid.470262.50000 0004 0473 1353Bionano Genomics, San Diego, CA USA
| | - Daofeng Li
- grid.4367.60000 0001 2355 7002Department of Genetics, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO USA
| | - Tina Lindsay
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Julian Lucas
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Feng Luo
- grid.26090.3d0000 0001 0665 0280School of Computing, Clemson University, Clemson, SC USA
| | - Tobias Marschall
- grid.411327.20000 0001 2176 9917Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Matthew W. Mitchell
- grid.282012.b0000 0004 0627 5048Coriell Institute for Medical Research, Camden, NJ USA
| | - Jennifer McDaniel
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Fan Nie
- grid.216417.70000 0001 0379 7164Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Hugh E. Olsen
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Nathan D. Olson
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Trevor Pesout
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Tamara Potapova
- grid.250820.d0000 0000 9420 1591Stowers Institute for Medical Research, Kansas City, MO USA
| | - Daniela Puiu
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Allison Regier
- grid.511991.40000 0004 4910 5831DNAnexus, Mountain View, CA USA
| | - Jue Ruan
- grid.410727.70000 0001 0526 1937Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Steven L. Salzberg
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Ashley D. Sanders
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Michael C. Schatz
- grid.21107.350000 0001 2171 9311Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | | | - Valerie A. Schneider
- grid.94365.3d0000 0001 2297 5165National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD USA
| | | | - Kishwar Shafin
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Alaina Shumate
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Nathan O. Stitziel
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002Department of Genetics, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002Cardiovascular Division, John T. Milliken Department of Internal Medicine, Washington University School of Medicine, St. Louis, USA
| | - Catherine Stober
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - James Torrance
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Justin Wagner
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Jianxin Wang
- grid.216417.70000 0001 0379 7164Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Aaron Wenger
- grid.423340.20000 0004 0640 9878Pacific Biosciences, Menlo Park, CA USA
| | - Chuanle Xiao
- grid.12981.330000 0001 2360 039XState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Aleksey V. Zimin
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Guojie Zhang
- grid.13402.340000 0004 1759 700XCenter for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Wang
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002Department of Genetics, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO USA
| | - Heng Li
- grid.65499.370000 0001 2106 9910Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA USA
| | - Erik Garrison
- grid.267301.10000 0004 0386 9246Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN USA
| | - David Haussler
- grid.413575.10000 0001 2167 1581Howard Hughes Medical Institute, Chevy Chase, MD USA ,grid.205975.c0000 0001 0740 6917Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA USA
| | - Ira Hall
- grid.47100.320000000419368710Yale School of Medicine, New Haven, CT USA
| | - Justin M. Zook
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Evan E. Eichler
- grid.413575.10000 0001 2167 1581Howard Hughes Medical Institute, Chevy Chase, MD USA ,grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Adam M. Phillippy
- grid.94365.3d0000 0001 2297 5165Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Benedict Paten
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Kerstin Howe
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Karen H. Miga
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
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48
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Clark LN, Gao Y, Wang GT, Hernandez N, Ashley-Koch A, Jankovic J, Ottman R, Leal SM, Rodriguez SMB, Louis ED. Whole genome sequencing identifies candidate genes for familial essential tremor and reveals biological pathways implicated in essential tremor aetiology. EBioMedicine 2022; 85:104290. [PMID: 36183486 PMCID: PMC9525816 DOI: 10.1016/j.ebiom.2022.104290] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 08/25/2022] [Accepted: 09/13/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Essential tremor (ET), one of the most common neurological disorders, has a phenotypically heterogeneous presentation characterized by bilateral kinetic tremor of the arms and, in some patients, tremor involving other body regions (e.g., head, voice). Genetic studies suggest that ET is genetically heterogeneous. METHODS We analyzed whole genome sequence data (WGS) generated on 104 multi-generational white families with European ancestry affected by ET. Genome-wide parametric linkage and association scans were analyzed using adjusted logistic regression models through the application of the Pseudomarker software. To investigate the additional contribution of rare variants in familial ET, we also performed an aggregate variant non-parametric linkage (NPL) analysis using the collapsed haplotype method implemented in CHP-NPL software. FINDINGS Parametric linkage analysis of common variants identified several loci with significant evidence of linkage (HLOD ≥3.6). Among the gene regions within the strongest ET linkage peaks were BTC (4q13.3, HLOD=4.53), N6AMT1 (21q21.3, HLOD=4.31), PCDH9 (13q21.32, HLOD=4.21), EYA1 (8q13.3, HLOD=4.04), RBFOX1 (16p13.3, HLOD=4.02), MAPT (17q21.31, HLOD=3.99) and SCARB2 (4q21.1, HLOD=3.65). CHP-NPL analysis identified fifteen additional genes with evidence of significant linkage (LOD ≥3.8). These genes include TUBB2A, VPS33B, STEAP1B, SPINK5, ZRANB1, TBC1D3C, PDPR, NPY4R, ETS2, ZNF736, SPATA21, ARL17A, PZP, BLK and CCDC94. In one ET family contributing to the linkage peak on chromosome 16p13.3, we identified a likely pathogenic heterozygous canonical splice acceptor variant in exon 2 of RBFOX1 (ENST00000547372; c.4-2A>G), that co-segregated with the ET phenotype in the family. INTERPRETATION Linkage and association analyses of WGS identified several novel ET candidate genes, which are implicated in four major pathways that include 1) the epidermal growth factor receptor-phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha-AKT serine/threonine kinase 1 (EGFR-PI3K-AKT) and Mitogen-activated protein Kinase 1 (ERK) pathways, 2) Reactive oxygen species (ROS) and DNA repair, 3) gamma-aminobutyric acid-ergic (GABAergic) system and 4) RNA binding and regulation of RNA processes. Our study provides evidence for a possible overlap in the genetic architecture of ET, neurological disease, cancer and aging. The genes and pathways identified can be prioritized in future genetic and functional studies. FUNDING National Institutes of Health, NINDS, NS073872 (USA) and NIA AG058131(USA).
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Affiliation(s)
- Lorraine N Clark
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; The Taub Institute for Research on Alzheimer's Disease and The Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
| | - Yizhe Gao
- The G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; The Center for Statistical Genetics, Columbia University Irving Medical Center, New York, NY, USA
| | - Gao T Wang
- The G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; The Center for Statistical Genetics, Columbia University Irving Medical Center, New York, NY, USA
| | - Nora Hernandez
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas TX, USA
| | - Allison Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston TX, USA
| | - Ruth Ottman
- The G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, USA
| | - Suzanne M Leal
- The Taub Institute for Research on Alzheimer's Disease and The Aging Brain, Columbia University Irving Medical Center, New York, NY, USA; The G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; The Center for Statistical Genetics, Columbia University Irving Medical Center, New York, NY, USA
| | - Sandra M Barral Rodriguez
- The Taub Institute for Research on Alzheimer's Disease and The Aging Brain, Columbia University Irving Medical Center, New York, NY, USA; The G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
| | - Elan D Louis
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas TX, USA.
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Damianidou E, Mouratidou L, Kyrousi C. Research models of neurodevelopmental disorders: The right model in the right place. Front Neurosci 2022; 16:1031075. [PMID: 36340790 PMCID: PMC9630472 DOI: 10.3389/fnins.2022.1031075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/07/2022] [Indexed: 11/25/2022] Open
Abstract
Neurodevelopmental disorders (NDDs) are a heterogeneous group of impairments that affect the development of the central nervous system leading to abnormal brain function. NDDs affect a great percentage of the population worldwide, imposing a high societal and economic burden and thus, interest in this field has widely grown in recent years. Nevertheless, the complexity of human brain development and function as well as the limitations regarding human tissue usage make their modeling challenging. Animal models play a central role in the investigation of the implicated molecular and cellular mechanisms, however many of them display key differences regarding human phenotype and in many cases, they partially or completely fail to recapitulate them. Although in vitro two-dimensional (2D) human-specific models have been highly used to address some of these limitations, they lack crucial features such as complexity and heterogeneity. In this review, we will discuss the advantages, limitations and future applications of in vivo and in vitro models that are used today to model NDDs. Additionally, we will describe the recent development of 3-dimensional brain (3D) organoids which offer a promising approach as human-specific in vitro models to decipher these complex disorders.
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Affiliation(s)
- Eleni Damianidou
- University Mental Health, Neurosciences and Precision Medicine Research Institute “Costas Stefanis”, Athens, Greece
| | - Lidia Mouratidou
- University Mental Health, Neurosciences and Precision Medicine Research Institute “Costas Stefanis”, Athens, Greece
- First Department of Psychiatry, Medical School, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Christina Kyrousi
- University Mental Health, Neurosciences and Precision Medicine Research Institute “Costas Stefanis”, Athens, Greece
- First Department of Psychiatry, Medical School, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- *Correspondence: Christina Kyrousi,
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Massimo M, Long KR. Orchestrating human neocortex development across the scales; from micro to macro. Semin Cell Dev Biol 2022; 130:24-36. [PMID: 34583893 DOI: 10.1016/j.semcdb.2021.09.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 08/27/2021] [Accepted: 09/10/2021] [Indexed: 10/20/2022]
Abstract
How our brains have developed to perform the many complex functions that make us human has long remained a question of great interest. Over the last few decades, many scientists from a wide range of fields have tried to answer this question by aiming to uncover the mechanisms that regulate the development of the human neocortex. They have approached this on different scales, focusing microscopically on individual cells all the way up to macroscopically imaging entire brains within living patients. In this review we will summarise these key findings and how they fit together.
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Affiliation(s)
- Marco Massimo
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, United Kingdom
| | - Katherine R Long
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, United Kingdom.
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