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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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2
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Zhao HT, Schmidt ER. Human-specific genetic modifiers of cortical architecture and function. Curr Opin Genet Dev 2024; 88:102241. [PMID: 39111228 PMCID: PMC11547859 DOI: 10.1016/j.gde.2024.102241] [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: 04/04/2024] [Revised: 06/30/2024] [Accepted: 07/23/2024] [Indexed: 09/11/2024]
Abstract
Evolution of the cerebral cortex is thought to have been critical for the emergence of our cognitive abilities. Major features of cortical evolution include increased neuron number and connectivity and altered morpho-electric properties of cortical neurons. Significant progress has been made in identifying human-specific genetic modifiers (HSGMs), some of which are involved in shaping these features of cortical architecture. But how did these evolutionary changes support the emergence of our cognitive abilities? Here, we highlight recent studies aimed at examining the impact of HSGMs on cortical circuit function and behavior. We also discuss the need for greater insight into the link between evolution of cortical architecture and the functional and computational properties of neuronal circuits, as we seek to provide a neurobiological foundation for human cognition.
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Affiliation(s)
- Hanzhi T Zhao
- Department of Neuroscience, Medical University of South Carolina, Suite 403 BSB, MSC510, 173 Ashley Ave, Charleston, SC 29425, USA
| | - Ewoud Re Schmidt
- Department of Neuroscience, Medical University of South Carolina, Suite 403 BSB, MSC510, 173 Ashley Ave, Charleston, SC 29425, USA.
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3
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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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Chen JH, Landback P, Arsala D, Guzzetta A, Xia S, Atlas J, Sosa D, Zhang YE, Cheng J, Shen B, Long M. Evolutionarily new genes in humans with disease phenotypes reveal functional enrichment patterns shaped by adaptive innovation and sexual selection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.14.567139. [PMID: 38045239 PMCID: PMC10690195 DOI: 10.1101/2023.11.14.567139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
New genes (or young genes) are genetic novelties pivotal in mammalian evolution. However, their phenotypic impacts and evolutionary patterns over time remain elusive in humans due to the technical and ethical complexities of functional studies. Integrating gene age dating with Mendelian disease phenotyping, our research shows a gradual rise in disease gene proportion as gene age increases. Logistic regression modeling indicates that this increase in older genes may be related to their longer sequence lengths and higher burdens of deleterious de novo germline variants (DNVs). We also find a steady integration of new genes with biomedical phenotypes into the human genome over macroevolutionary timescales (~0.07% per million years). Despite this stable pace, we observe distinct patterns in phenotypic enrichment, pleiotropy, and selective pressures across gene ages. Notably, young genes show significant enrichment in diseases related to the male reproductive system, indicating strong sexual selection. Young genes also exhibit disease-related functions in tissues and systems potentially linked to human phenotypic innovations, such as increased brain size, musculoskeletal phenotypes, and color vision. We further reveal a logistic growth pattern of pleiotropy over evolutionary time, indicating a diminishing marginal growth of new functions for older genes due to intensifying selective constraints over time. We propose a "pleiotropy-barrier" model that delineates higher potentials for phenotypic innovation in young genes compared to older genes, a process that is subject to natural selection. Our study demonstrates that evolutionarily new genes are critical in influencing human reproductive evolution and adaptive phenotypic innovations driven by sexual and natural selection, with low pleiotropy as a selective advantage.
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Affiliation(s)
- Jian-Hai Chen
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Patrick Landback
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Deanna Arsala
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Alexander Guzzetta
- Department of Pathology, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Shengqian Xia
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Jared Atlas
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Dylan Sosa
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Yong E. Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jingqiu Cheng
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Bairong Shen
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Manyuan Long
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
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Chen J. Evolutionarily new genes in humans with disease phenotypes reveal functional enrichment patterns shaped by adaptive innovation and sexual selection. RESEARCH SQUARE 2023:rs.3.rs-3632644. [PMID: 38045389 PMCID: PMC10690325 DOI: 10.21203/rs.3.rs-3632644/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
New genes (or young genes) are structural novelties pivotal in mammalian evolution. Their phenotypic impact on humans, however, remains elusive due to the technical and ethical complexities in functional studies. Through combining gene age dating with Mendelian disease phenotyping, our research reveals that new genes associated with disease phenotypes steadily integrate into the human genome at a rate of ~ 0.07% every million years over macroevolutionary timescales. Despite this stable pace, we observe distinct patterns in phenotypic enrichment, pleiotropy, and selective pressures between young and old genes. Notably, young genes show significant enrichment in the male reproductive system, indicating strong sexual selection. Young genes also exhibit functions in tissues and systems potentially linked to human phenotypic innovations, such as increased brain size, bipedal locomotion, and color vision. Our findings further reveal increasing levels of pleiotropy over evolutionary time, which accompanies stronger selective constraints. We propose a "pleiotropy-barrier" model that delineates different potentials for phenotypic innovation between young and older genes subject to natural selection. Our study demonstrates that evolutionary new genes are critical in influencing human reproductive evolution and adaptive phenotypic innovations driven by sexual and natural selection, with low pleiotropy as a selective advantage.
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