1
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Jeong H, Dishuck PC, Yoo D, Harvey WT, Munson KM, Lewis AP, Kordosky J, Garcia GH, 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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2
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Makova KD, Pickett BD, Harris RS, Hartley GA, Cechova M, Pal K, Nurk S, Yoo D, Li Q, Hebbar P, McGrath BC, Antonacci F, Aubel M, Biddanda A, Borchers M, Bornberg-Bauer E, Bouffard GG, Brooks SY, Carbone L, Carrel L, Carroll A, Chang PC, Chin CS, Cook DE, Craig SJC, de Gennaro L, Diekhans M, Dutra A, Garcia GH, Grady PGS, Green RE, Haddad D, Hallast P, Harvey WT, Hickey G, Hillis DA, Hoyt SJ, Jeong H, Kamali K, Pond SLK, LaPolice TM, Lee C, Lewis AP, Loh YHE, Masterson P, McGarvey KM, McCoy RC, Medvedev P, Miga KH, Munson KM, Pak E, Paten B, Pinto BJ, Potapova T, Rhie A, Rocha JL, Ryabov F, Ryder OA, Sacco S, Shafin K, Shepelev VA, Slon V, Solar SJ, Storer JM, Sudmant PH, Sweetalana, Sweeten A, Tassia MG, Thibaud-Nissen F, Ventura M, Wilson MA, Young AC, Zeng H, Zhang X, Szpiech ZA, Huber CD, Gerton JL, Yi SV, Schatz MC, Alexandrov IA, Koren S, O'Neill RJ, Eichler EE, Phillippy AM. The complete sequence and comparative analysis of ape sex chromosomes. Nature 2024; 630:401-411. [PMID: 38811727 PMCID: PMC11168930 DOI: 10.1038/s41586-024-07473-2] [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: 11/17/2023] [Accepted: 04/26/2024] [Indexed: 05/31/2024]
Abstract
Apes possess two sex chromosomes-the male-specific Y chromosome and the X chromosome, which is present in both males and females. The Y chromosome is crucial for male reproduction, with deletions being linked to infertility1. The X chromosome is vital for reproduction and cognition2. Variation in mating patterns and brain function among apes suggests corresponding differences in their sex chromosomes. However, owing to their repetitive nature and incomplete reference assemblies, ape sex chromosomes have been challenging to study. Here, using the methodology developed for the telomere-to-telomere (T2T) human genome, we produced gapless assemblies of the X and Y chromosomes for five great apes (bonobo (Pan paniscus), chimpanzee (Pan troglodytes), western lowland gorilla (Gorilla gorilla gorilla), Bornean orangutan (Pongo pygmaeus) and Sumatran orangutan (Pongo abelii)) and a lesser ape (the siamang gibbon (Symphalangus syndactylus)), and untangled the intricacies of their evolution. Compared with the X chromosomes, the ape Y chromosomes vary greatly in size and have low alignability and high levels of structural rearrangements-owing to the accumulation of lineage-specific ampliconic regions, palindromes, transposable elements and satellites. Many Y chromosome genes expand in multi-copy families and some evolve under purifying selection. Thus, the Y chromosome exhibits dynamic evolution, whereas the X chromosome is more stable. Mapping short-read sequencing data to these assemblies revealed diversity and selection patterns on sex chromosomes of more than 100 individual great apes. These reference assemblies are expected to inform human evolution and conservation genetics of non-human apes, all of which are endangered species.
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Affiliation(s)
| | - Brandon D Pickett
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Monika Cechova
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Karol Pal
- Penn State University, University Park, PA, USA
| | - Sergey Nurk
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - DongAhn Yoo
- University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Johns Hopkins University, Baltimore, MD, USA
| | - Prajna Hebbar
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | | | | | - Erich Bornberg-Bauer
- University of Münster, Münster, Germany
- MPI for Developmental Biology, Tübingen, Germany
| | - Gerard G Bouffard
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shelise Y Brooks
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Carbone
- Oregon Health and Science University, Portland, OR, USA
- Oregon National Primate Research Center, Hillsboro, OR, USA
| | - Laura Carrel
- Penn State University School of Medicine, Hershey, PA, USA
| | | | | | - Chen-Shan Chin
- Foundation of Biological Data Sciences, Belmont, CA, USA
| | | | | | | | - Mark Diekhans
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Amalia Dutra
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gage H Garcia
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Glenn Hickey
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - David A Hillis
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | - Hyeonsoo Jeong
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | | | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Yong-Hwee E Loh
- University of California Santa Barbara, Santa Barbara, CA, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Kelly M McGarvey
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Karen H Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Evgenia Pak
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benedict Paten
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Arang Rhie
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joana L Rocha
- University of California Berkeley, Berkeley, CA, USA
| | - Fedor Ryabov
- Masters Program in National Research, University Higher School of Economics, Moscow, Russia
| | | | - Samuel Sacco
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | - Steven J Solar
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Sweetalana
- Penn State University, University Park, PA, USA
| | - Alex Sweeten
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Mario Ventura
- Università degli Studi di Bari Aldo Moro, Bari, Italy
| | | | - Alice C Young
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Xinru Zhang
- Penn State University, University Park, PA, USA
| | | | | | | | - Soojin V Yi
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | | | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Evan E Eichler
- University of Washington School of Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
| | - Adam M Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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3
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Wan JN, Wang SW, Leitch AR, Leitch IJ, Jian JB, Wu ZY, Xin HP, Rakotoarinivo M, Onjalalaina GE, Gituru RW, Dai C, Mwachala G, Bai MZ, Zhao CX, Wang HQ, Du SL, Wei N, Hu GW, Chen SC, Chen XY, Wan T, Wang QF. The rise of baobab trees in Madagascar. Nature 2024; 629:1091-1099. [PMID: 38750363 PMCID: PMC11136661 DOI: 10.1038/s41586-024-07447-4] [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: 05/20/2023] [Accepted: 04/19/2024] [Indexed: 05/30/2024]
Abstract
The baobab trees (genus Adansonia) have attracted tremendous attention because of their striking shape and distinctive relationships with fauna1. These spectacular trees have also influenced human culture, inspiring innumerable arts, folklore and traditions. Here we sequenced genomes of all eight extant baobab species and argue that Madagascar should be considered the centre of origin for the extant lineages, a key issue in their evolutionary history2,3. Integrated genomic and ecological analyses revealed the reticulate evolution of baobabs, which eventually led to the species diversity seen today. Past population dynamics of Malagasy baobabs may have been influenced by both interspecific competition and the geological history of the island, especially changes in local sea levels. We propose that further attention should be paid to the conservation status of Malagasy baobabs, especially of Adansonia suarezensis and Adansonia grandidieri, and that intensive monitoring of populations of Adansonia za is required, given its propensity for negatively impacting the critically endangered Adansonia perrieri.
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Affiliation(s)
- Jun-Nan Wan
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Sheng-Wei Wang
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Andrew R Leitch
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | | | - Jian-Bo Jian
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | | | - Hai-Ping Xin
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | | | | | - Robert Wahiti Gituru
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
- Department of Botany, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Can Dai
- School of Resources and Environmental Science, Hubei University, Wuhan, China
| | | | - Ming-Zhou Bai
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | | | | | - Sheng-Lan Du
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | - Neng Wei
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Guang-Wan Hu
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Si-Chong Chen
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Xiao-Ya Chen
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
- Shanghai Chenshan Botanical Garden, Shanghai, China
| | - Tao Wan
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China.
| | - Qing-Feng Wang
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China.
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4
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Mao YX, Li Y, Yang Z, Xu N, Zhang S, Wang X, Yang X, Sun Q, Mao Y. Comparative transcriptome analysis between rhesus macaques ( Macaca mulatta) and crab-eating macaques ( M. fascicularis). Zool Res 2024; 45:299-310. [PMID: 38485500 PMCID: PMC11017088 DOI: 10.24272/j.issn.2095-8137.2023.322] [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: 10/09/2023] [Accepted: 12/28/2023] [Indexed: 03/19/2024] Open
Abstract
Understanding gene expression variations between species is pivotal for deciphering the evolutionary diversity in phenotypes. Rhesus macaques ( Macaca mulatta, MMU) and crab-eating macaques ( M. fascicularis, MFA) serve as crucial nonhuman primate biomedical models with different phenotypes. To date, however, large-scale comparative transcriptome research between these two species has not yet been fully explored. Here, we conducted systematic comparisons utilizing newly sequenced RNA-seq data from 84 samples (41 MFA samples and 43 MMU samples) encompassing 14 common tissues. Our findings revealed a small fraction of genes (3.7%) with differential expression between the two species, as well as 36.5% of genes with tissue-specific expression in both macaques. Comparison of gene expression between macaques and humans indicated that 22.6% of orthologous genes displayed differential expression in at least two tissues. Moreover, 19.41% of genes that overlapped with macaque-specific structural variants showed differential expression between humans and macaques. Of these, the FAM220A gene exhibited elevated expression in humans compared to macaques due to lineage-specific duplication. In summary, this study presents a large-scale transcriptomic comparison between MMU and MFA and between macaques and humans. The discovery of gene expression variations not only enhances the biomedical utility of macaque models but also contributes to the wider field of primate genomics.
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Affiliation(s)
- Yu-Xiang Mao
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Yamei Li
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 201210, China
- Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Zikun Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, China
- Zhiyuan College, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ning Xu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Xuankai Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Xiangyu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Qiang Sun
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 201210, China
- Key Laboratory of Genetic Evolution & Animal Models, Chinese Academy of Sciences, Kunming, Yunnan 650201, China. E-mail:
| | - Yafei Mao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, China
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, Zhejiang 322000, China. E-mail:
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5
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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: 0] [Impact Index Per Article: 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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6
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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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7
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Martin R, Espinoza CY, Large CRL, Rosswork J, Van Bruinisse C, Miller AW, Sanchez JC, Miller M, Paskvan S, Alvino GM, Dunham MJ, Raghuraman MK, Brewer BJ. Template switching between the leading and lagging strands at replication forks generates inverted copy number variants through hairpin-capped extrachromosomal DNA. PLoS Genet 2024; 20:e1010850. [PMID: 38175823 PMCID: PMC10766183 DOI: 10.1371/journal.pgen.1010850] [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: 06/30/2023] [Accepted: 10/23/2023] [Indexed: 01/06/2024] Open
Abstract
Inherited and germ-line de novo copy number variants (CNVs) are increasingly found to be correlated with human developmental and cancerous phenotypes. Several models for template switching during replication have been proposed to explain the generation of these gross chromosomal rearrangements. We proposed a model of template switching (ODIRA-origin dependent inverted repeat amplification) in which simultaneous ligation of the leading and lagging strands at diverging replication forks could generate segmental inverted triplications through an extrachromosomal inverted circular intermediate. Here, we created a genetic assay using split-ura3 cassettes to trap the proposed inverted intermediate. However, instead of recovering circular inverted intermediates, we found inverted linear chromosomal fragments ending in native telomeres-suggesting that a template switch had occurred at the centromere-proximal fork of a replication bubble. As telomeric inverted hairpin fragments can also be created through double strand breaks we tested whether replication errors or repair of double stranded DNA breaks were the most likely initiating event. The results from CRISPR/Cas9 cleavage experiments and growth in the replication inhibitor hydroxyurea indicate that it is a replication error, not a double stranded break that creates the inverted junctions. Since inverted amplicons of the SUL1 gene occur during long-term growth in sulfate-limited chemostats, we sequenced evolved populations to look for evidence of linear intermediates formed by an error in replication. All of the data are compatible with a two-step version of the ODIRA model in which sequential template switching at short inverted repeats between the leading and lagging strands at a replication fork, followed by integration via homologous recombination, generates inverted interstitial triplications.
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Affiliation(s)
- Rebecca Martin
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Claudia Y. Espinoza
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Christopher R. L. Large
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Joshua Rosswork
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Cole Van Bruinisse
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Aaron W. Miller
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Joseph C. Sanchez
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Madison Miller
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Samantha Paskvan
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Gina M. Alvino
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Maitreya J. Dunham
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - M. K. Raghuraman
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Bonita J. Brewer
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
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8
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Makova KD, Pickett BD, Harris RS, Hartley GA, Cechova M, Pal K, Nurk S, Yoo D, Li Q, Hebbar P, McGrath BC, Antonacci F, Aubel M, Biddanda A, Borchers M, Bomberg E, Bouffard GG, Brooks SY, Carbone L, Carrel L, Carroll A, Chang PC, Chin CS, Cook DE, Craig SJ, de Gennaro L, Diekhans M, Dutra A, Garcia GH, Grady PG, Green RE, Haddad D, Hallast P, Harvey WT, Hickey G, Hillis DA, Hoyt SJ, Jeong H, Kamali K, Kosakovsky Pond SL, LaPolice TM, Lee C, Lewis AP, Loh YHE, Masterson P, McCoy RC, Medvedev P, Miga KH, Munson KM, Pak E, Paten B, Pinto BJ, Potapova T, Rhie A, Rocha JL, Ryabov F, Ryder OA, Sacco S, Shafin K, Shepelev VA, Slon V, Solar SJ, Storer JM, Sudmant PH, Sweetalana, Sweeten A, Tassia MG, Thibaud-Nissen F, Ventura M, Wilson MA, Young AC, Zeng H, Zhang X, Szpiech ZA, Huber CD, Gerton JL, Yi SV, Schatz MC, Alexandrov IA, Koren S, O’Neill RJ, Eichler E, Phillippy AM. The Complete Sequence and Comparative Analysis of Ape Sex Chromosomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.569198. [PMID: 38077089 PMCID: PMC10705393 DOI: 10.1101/2023.11.30.569198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Apes possess two sex chromosomes-the male-specific Y and the X shared by males and females. The Y chromosome is crucial for male reproduction, with deletions linked to infertility. The X chromosome carries genes vital for reproduction and cognition. Variation in mating patterns and brain function among great apes suggests corresponding differences in their sex chromosome structure and evolution. However, due to their highly repetitive nature and incomplete reference assemblies, ape sex chromosomes have been challenging to study. Here, using the state-of-the-art experimental and computational methods developed for the telomere-to-telomere (T2T) human genome, we produced gapless, complete assemblies of the X and Y chromosomes for five great apes (chimpanzee, bonobo, gorilla, Bornean and Sumatran orangutans) and a lesser ape, the siamang gibbon. These assemblies completely resolved ampliconic, palindromic, and satellite sequences, including the entire centromeres, allowing us to untangle the intricacies of ape sex chromosome evolution. We found that, compared to the X, ape Y chromosomes vary greatly in size and have low alignability and high levels of structural rearrangements. This divergence on the Y arises from the accumulation of lineage-specific ampliconic regions and palindromes (which are shared more broadly among species on the X) and from the abundance of transposable elements and satellites (which have a lower representation on the X). Our analysis of Y chromosome genes revealed lineage-specific expansions of multi-copy gene families and signatures of purifying selection. In summary, the Y exhibits dynamic evolution, while the X is more stable. Finally, mapping short-read sequencing data from >100 great ape individuals revealed the patterns of diversity and selection on their sex chromosomes, demonstrating the utility of these reference assemblies for studies of great ape evolution. These complete sex chromosome assemblies are expected to further inform conservation genetics of nonhuman apes, all of which are endangered species.
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Affiliation(s)
| | - Brandon D. Pickett
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Monika Cechova
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Karol Pal
- Penn State University, University Park, PA, USA
| | - Sergey Nurk
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - DongAhn Yoo
- University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Johns Hopkins University, Baltimore, MD, USA
| | - Prajna Hebbar
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | | | | | - Erich Bomberg
- University of Münster, Münster, Germany
- MPI for Developmental Biology, Tübingen, Germany
| | - Gerard G. Bouffard
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shelise Y. Brooks
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Carbone
- Oregon Health & Science University, Portland, OR, USA
- Oregon National Primate Research Center, Hillsboro, OR, USA
| | - Laura Carrel
- Penn State University School of Medicine, Hershey, PA, USA
| | | | | | - Chen-Shan Chin
- Foundation of Biological Data Sciences, Belmont, CA, USA
| | | | | | | | - Mark Diekhans
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Amalia Dutra
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gage H. Garcia
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Glenn Hickey
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - David A. Hillis
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | - Hyeonsoo Jeong
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | | | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | | | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Karen H. Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Evgenia Pak
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benedict Paten
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Arang Rhie
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | | | - Samuel Sacco
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | - Steven J. Solar
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Sweetalana
- Penn State University, University Park, PA, USA
| | - Alex Sweeten
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Alice C. Young
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Xinru Zhang
- Penn State University, University Park, PA, USA
| | | | | | | | - Soojin V. Yi
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | | | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Evan Eichler
- University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M. Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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9
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Karunarathne P, Zhou Q, Schliep K, Milesi P. A comprehensive framework for detecting copy number variants from single nucleotide polymorphism data: 'rCNV', a versatile r package for paralogue and CNV detection. Mol Ecol Resour 2023; 23:1772-1789. [PMID: 37515483 DOI: 10.1111/1755-0998.13843] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 07/04/2023] [Accepted: 07/07/2023] [Indexed: 07/31/2023]
Abstract
Recent studies have highlighted the significant role of copy number variants (CNVs) in phenotypic diversity, environmental adaptation and species divergence across eukaryotes. The presence of CNVs also has the potential to introduce genotyping biases, which can pose challenges to accurate population and quantitative genetic analyses. However, detecting CNVs in genomes, particularly in non-model organisms, presents a formidable challenge. To address this issue, we have developed a statistical framework and an accompanying r software package that leverage allelic-read depth from single nucleotide polymorphism (SNP) data for accurate CNV detection. Our framework capitalises on two key principles. First, it exploits the distribution of allelic-read depth ratios in heterozygotes for individual SNPs by comparing it against an expected distribution based on binomial sampling. Second, it identifies SNPs exhibiting an apparent excess of heterozygotes under Hardy-Weinberg equilibrium. By employing multiple statistical tests, our method not only enhances sensitivity to sampling effects but also effectively addresses reference biases, resulting in optimised SNP classification. Our framework is compatible with various NGS technologies (e.g. RADseq, Exome-capture). This versatility enables CNV calling from genomes of diverse complexities. To streamline the analysis process, we have implemented our framework in the user-friendly r package 'rCNV', which automates the entire workflow seamlessly. We trained our models using simulated data and validated their performance on four datasets derived from different sequencing technologies, including RADseq (Chinook salmon-Oncorhynchus tshawytscha), Rapture (American lobster-Homarus americanus), Exome-capture (Norway spruce-Picea abies) and WGS (Malaria mosquito-Anopheles gambiae).
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Affiliation(s)
- Piyal Karunarathne
- Plant Ecology and Evolution, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
- Science for Life Laboratory (SciLifeLab), Uppsala, Sweden
- Institute of Population Genetics, Heinrich Heine University, Düsseldorf, Germany
| | - Qiujie Zhou
- Plant Ecology and Evolution, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
- Science for Life Laboratory (SciLifeLab), Uppsala, Sweden
| | - Klaus Schliep
- Institute of Computational Biotechnology, Graz University of Technology, Graz, Austria
| | - Pascal Milesi
- Plant Ecology and Evolution, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
- Science for Life Laboratory (SciLifeLab), Uppsala, Sweden
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10
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Paparella A, L’Abbate A, Palmisano D, Chirico G, Porubsky D, Catacchio CR, Ventura M, Eichler EE, Maggiolini FAM, Antonacci F. Structural Variation Evolution at the 15q11-q13 Disease-Associated Locus. Int J Mol Sci 2023; 24:15818. [PMID: 37958807 PMCID: PMC10648317 DOI: 10.3390/ijms242115818] [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: 10/09/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
The impact of segmental duplications on human evolution and disease is only just starting to unfold, thanks to advancements in sequencing technologies that allow for their discovery and precise genotyping. The 15q11-q13 locus is a hotspot of recurrent copy number variation associated with Prader-Willi/Angelman syndromes, developmental delay, autism, and epilepsy and is mediated by complex segmental duplications, many of which arose recently during evolution. To gain insight into the instability of this region, we characterized its architecture in human and nonhuman primates, reconstructing the evolutionary history of five different inversions that rearranged the region in different species primarily by accumulation of segmental duplications. Comparative analysis of human and nonhuman primate duplication structures suggests a human-specific gain of directly oriented duplications in the regions flanking the GOLGA cores and HERC segmental duplications, representing potential genomic drivers for the human-specific expansions. The increasing complexity of segmental duplication organization over the course of evolution underlies its association with human susceptibility to recurrent disease-associated rearrangements.
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Affiliation(s)
- Annalisa Paparella
- Department of Biosciences, Biotechnology and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
| | - Alberto L’Abbate
- Institute of Biomembranes, Bioenergetics, and Molecular Biotechnology (IBIOM), 70125 Bari, Italy
| | - Donato Palmisano
- Department of Biosciences, Biotechnology and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
| | - Gerardina Chirico
- Department of Biosciences, Biotechnology and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Claudia R. Catacchio
- Department of Biosciences, Biotechnology and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
| | - Mario Ventura
- Department of Biosciences, Biotechnology and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
- Howard Hughes Medical Institute (HHMI), University of Washington, Seattle, WA 98195, USA
| | - Flavia A. M. Maggiolini
- Department of Biosciences, Biotechnology and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
- Research Centre for Viticulture and Enology, Council for Agricultural Research and Economics (CREA), 70010 Bari, Italy
| | - Francesca Antonacci
- Department of Biosciences, Biotechnology and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
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11
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Zhao S, Chi L, Chen H. CEGA: a method for inferring natural selection by comparative population genomic analysis across species. Genome Biol 2023; 24:219. [PMID: 37789379 PMCID: PMC10548728 DOI: 10.1186/s13059-023-03068-8] [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: 07/26/2022] [Accepted: 09/20/2023] [Indexed: 10/05/2023] Open
Abstract
We developed maximum likelihood method for detecting positive selection or balancing selection using multilocus or genomic polymorphism and divergence data from two species. The method is especially useful for investigating natural selection in noncoding regions. Simulations demonstrate that the method outperforms existing methods in detecting both positive and balancing selection. We apply the method to population genomic data from human and chimpanzee. The list of genes identified under selection in the noncoding regions is prominently enriched in pathways related to the brain and nervous system. Therefore, our method will serve as a useful tool for comparative population genomic analysis.
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Affiliation(s)
- Shilei Zhao
- CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lianjiang Chi
- CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
| | - Hua Chen
- CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- China National Center for Bioinformation, Beijing, 100101, China.
- School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China.
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
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12
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Gaedigk A, Boone EC, Turner AJ, van Schaik RHN, Chernova D, Wang WY, Broeckel U, Granfield CA, Hodge JC, Ly RC, Lynnes TC, Mitchell MW, Moyer AM, Oliva J, Kalman LV. Characterization of Reference Materials for CYP3A4 and CYP3A5: A (GeT-RM) Collaborative Project. J Mol Diagn 2023; 25:655-664. [PMID: 37354993 DOI: 10.1016/j.jmoldx.2023.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/23/2023] [Accepted: 06/01/2023] [Indexed: 06/26/2023] Open
Abstract
Pharmacogenetic testing for CYP3A4 is increasingly provided by clinical and research laboratories; however, only a limited number of quality control and reference materials are currently available for many of the CYP3A4 variants included in clinical tests. To address this need, the Division of Laboratory Systems, CDC-based Genetic Testing Reference Material Coordination Program (GeT-RM), in collaboration with members of the pharmacogenetic testing and research communities and the Coriell Institute for Medical Research, has characterized 30 DNA samples derived from Coriell cell lines for CYP3A4. Samples were distributed to five volunteer laboratories for genotyping using a variety of commercially available and laboratory-developed tests. Sanger and next-generation sequencing were also utilized by some of the laboratories. Whole-genome sequencing data from the 1000 Genomes Projects were utilized to inform genotype. Twenty CYP3A4 alleles were identified in the 30 samples characterized for CYP3A4: CYP3A4∗4, ∗5, ∗6, ∗7, ∗8, ∗9, ∗10, ∗11, ∗12, ∗15, ∗16, ∗18, ∗19, ∗20, ∗21, ∗22, ∗23, ∗24, ∗35, and a novel allele, CYP3A4∗38. Nineteen additional samples with preexisting data for CYP3A4 or CYP3A5 were re-analyzed to generate comprehensive reference material panels for these genes. These publicly available and well-characterized materials can be used to support the quality assurance and quality control programs of clinical laboratories performing clinical pharmacogenetic testing.
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Affiliation(s)
- Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Research Institute, Kansas City, Missouri; University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Erin C Boone
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Research Institute, Kansas City, Missouri
| | - Amy J Turner
- RPRD Diagnostics, Milwaukee, Wisconsin; Section on Genomic Pediatrics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ron H N van Schaik
- Department of Clinical Chemistry/International Federation of Clinical Chemistry and Laboratory Medicine Expert Center Pharmacogenetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Dilyara Chernova
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Research Institute, Kansas City, Missouri
| | - Wendy Y Wang
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Research Institute, Kansas City, Missouri
| | - Ulrich Broeckel
- RPRD Diagnostics, Milwaukee, Wisconsin; Section on Genomic Pediatrics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Caitlin A Granfield
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Jennelle C Hodge
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Reynold C Ly
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Ty C Lynnes
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | | | - Ann M Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | | | - Lisa V Kalman
- Division of Laboratory Systems, Centers for Disease Control and Prevention, Atlanta, Georgia.
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13
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Zhou B, He Y, Chen Y, Su B. Comparative Genomic Analysis Identifies Great-Ape-Specific Structural Variants and Their Evolutionary Relevance. Mol Biol Evol 2023; 40:msad184. [PMID: 37565562 PMCID: PMC10461412 DOI: 10.1093/molbev/msad184] [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: 03/16/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/12/2023] Open
Abstract
During the origin of great apes about 14 million years ago, a series of phenotypic innovations emerged, such as the increased body size, the enlarged brain volume, the improved cognitive skill, and the diversified diet. Yet, the genomic basis of these evolutionary changes remains unclear. Utilizing the high-quality genome assemblies of great apes (including human), gibbon, and macaque, we conducted comparative genome analyses and identified 15,885 great ape-specific structural variants (GSSVs), including eight coding GSSVs resulting in the creation of novel proteins (e.g., ACAN and CMYA5). Functional annotations of the GSSV-related genes revealed the enrichment of genes involved in development and morphogenesis, especially neurogenesis and neural network formation, suggesting the potential role of GSSVs in shaping the great ape-shared traits. Further dissection of the brain-related GSSVs shows great ape-specific changes of enhancer activities and gene expression in the brain, involving a group of GSSV-regulated genes (such as NOL3) that potentially contribute to the altered brain development and function in great apes. The presented data highlight the evolutionary role of structural variants in the phenotypic innovations during the origin of the great ape lineage.
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Affiliation(s)
- Bin Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 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, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 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, China
| | - Yongjie Chen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 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, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 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, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
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14
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Eichler EE. Sampling a wide swathe of primate genetic diversity. CELL GENOMICS 2023; 3:100358. [PMID: 37492108 PMCID: PMC10363911 DOI: 10.1016/j.xgen.2023.100358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Two studies published in Science report the deepest survey of primate genetic diversity using short-read sequencing to sample ∼47% of extant species. Kuderna et al.1 investigate genetic diversity, mutation rates, and our primate phylogeny, while Gao et al.2 use the data to better classify disease-causing mutations.
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Affiliation(s)
- 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 98195, USA
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15
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Yang X, Wang X, Zou Y, Zhang S, Xia M, Fu L, Vollger MR, Chen NC, Taylor DJ, Harvey WT, Logsdon GA, Meng D, Shi J, McCoy RC, Schatz MC, Li W, Eichler EE, Lu Q, Mao Y. Characterization of large-scale genomic differences in the first complete human genome. Genome Biol 2023; 24:157. [PMID: 37403156 PMCID: PMC10320979 DOI: 10.1186/s13059-023-02995-w] [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: 11/14/2022] [Accepted: 06/23/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND The first telomere-to-telomere (T2T) human genome assembly (T2T-CHM13) release is a milestone in human genomics. The T2T-CHM13 genome assembly extends our understanding of telomeres, centromeres, segmental duplication, and other complex regions. The current human genome reference (GRCh38) has been widely used in various human genomic studies. However, the large-scale genomic differences between these two important genome assemblies are not characterized in detail yet. RESULTS Here, in addition to the previously reported "non-syntenic" regions, we find 67 additional large-scale discrepant regions and precisely categorize them into four structural types with a newly developed website tool called SynPlotter. The discrepant regions (~ 21.6 Mbp) excluding telomeric and centromeric regions are highly structurally polymorphic in humans, where the deletions or duplications are likely associated with various human diseases, such as immune and neurodevelopmental disorders. The analyses of a newly identified discrepant region-the KLRC gene cluster-show that the depletion of KLRC2 by a single-deletion event is associated with natural killer cell differentiation in ~ 20% of humans. Meanwhile, the rapid amino acid replacements observed within KLRC3 are probably a result of natural selection in primate evolution. CONCLUSION Our study provides a foundation for understanding the large-scale structural genomic differences between the two crucial human reference genomes, and is thereby important for future human genomics studies.
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Affiliation(s)
- Xiangyu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Xuankai Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yawen Zou
- 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
| | - Manying Xia
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Lianting Fu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - William T Harvey
- 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
| | - Dan Meng
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Junfeng Shi
- Shanghai Engineering Research Center of Advanced Dental Technology and Materials, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Michael C Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Weidong Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - 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
| | - Qing Lu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yafei Mao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Key Laboratory of Stomatology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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16
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Denti L, Khorsand P, Bonizzoni P, Hormozdiari F, Chikhi R. SVDSS: structural variation discovery in hard-to-call genomic regions using sample-specific strings from accurate long reads. Nat Methods 2023; 20:550-558. [PMID: 36550274 DOI: 10.1038/s41592-022-01674-1] [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: 02/23/2022] [Accepted: 10/08/2022] [Indexed: 12/24/2022]
Abstract
Structural variants (SVs) account for a large amount of sequence variability across genomes and play an important role in human genomics and precision medicine. Despite intense efforts over the years, the discovery of SVs in individuals remains challenging due to the diploid and highly repetitive structure of the human genome, and by the presence of SVs that vastly exceed sequencing read lengths. However, the recent introduction of low-error long-read sequencing technologies such as PacBio HiFi may finally enable these barriers to be overcome. Here we present SV discovery with sample-specific strings (SVDSS)-a method for discovery of SVs from long-read sequencing technologies (for example, PacBio HiFi) that combines and effectively leverages mapping-free, mapping-based and assembly-based methodologies for overall superior SV discovery performance. Our experiments on several human samples show that SVDSS outperforms state-of-the-art mapping-based methods for discovery of insertion and deletion SVs in PacBio HiFi reads and achieves notable improvements in calling SVs in repetitive regions of the genome.
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Affiliation(s)
- Luca Denti
- Sequence Bioinformatics, Department of Computational Biology, Institut Pasteur, Paris, France
| | | | - Paola Bonizzoni
- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
| | - Fereydoun Hormozdiari
- Genome Center, UC Davis, Davis, CA, USA.
- UC Davis MIND Institute, Sacramento, CA, USA.
- Department of Biochemistry and Molecular Medicine, Sacramento, UC Davis, Sacramento, CA, USA.
| | - Rayan Chikhi
- Sequence Bioinformatics, Department of Computational Biology, Institut Pasteur, Paris, France.
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17
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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: 3] [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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18
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Soto DC, Uribe-Salazar JM, Shew CJ, Sekar A, McGinty SP, Dennis MY. Genomic structural variation: A complex but important driver of human evolution. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023. [PMID: 36794631 DOI: 10.1002/ajpa.24713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [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, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - José M Uribe-Salazar
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Colin J Shew
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Aarthi Sekar
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Sean P McGinty
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
| | - Megan Y Dennis
- Genome Center, MIND Institute, Department of Biochemstry & Molecular Medicine, University of California, Davis, California, USA.,Integrative Genetics and Genomics Graduate Group, University of California, Davis, California, USA
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19
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Jun G, English AC, Metcalf GA, Yang J, Chaisson MJP, Pankratz N, Menon VK, Salerno WJ, Krasheninina O, Smith AV, Lane JA, Blackwell T, Kang HM, Salvi S, Meng Q, Shen H, Pasham D, Bhamidipati S, Kottapalli K, Arnett DK, Ashley-Koch A, Auer PL, Beutel KM, Bis JC, Blangero J, Bowden DW, Brody JA, Cade BE, Chen YDI, Cho MH, Curran JE, Fornage M, Freedman BI, Fingerlin T, Gelb BD, Hou L, Hung YJ, Kane JP, Kaplan R, Kim W, Loos RJ, Marcus GM, Mathias RA, McGarvey ST, Montgomery C, Naseri T, Nouraie SM, Preuss MH, Palmer ND, Peyser PA, Raffield LM, Ratan A, Redline S, Reupena S, Rotter JI, Rich SS, Rienstra M, Ruczinski I, Sankaran VG, Schwartz DA, Seidman CE, Seidman JG, Silverman EK, Smith JA, Stilp A, Taylor KD, Telen MJ, Weiss ST, Williams LK, Wu B, Yanek LR, Zhang Y, Lasky-Su J, Gingras MC, Dutcher SK, Eichler EE, Gabriel S, Germer S, Kim R, Viaud-Martinez KA, Nickerson DA, Luo J, Reiner A, Gibbs RA, Boerwinkle E, Abecasis G, Sedlazeck FJ. Structural variation across 138,134 samples in the TOPMed consortium. RESEARCH SQUARE 2023:rs.3.rs-2515453. [PMID: 36778386 PMCID: PMC9915771 DOI: 10.21203/rs.3.rs-2515453/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Ever larger Structural Variant (SV) catalogs highlighting the diversity within and between populations help researchers better understand the links between SVs and disease. The identification of SVs from DNA sequence data is non-trivial and requires a balance between comprehensiveness and precision. Here we present a catalog of 355,667 SVs (59.34% novel) across autosomes and the X chromosome (50bp+) from 138,134 individuals in the diverse TOPMed consortium. We describe our methodologies for SV inference resulting in high variant quality and >90% allele concordance compared to long-read de-novo assemblies of well-characterized control samples. We demonstrate utility through significant associations between SVs and important various cardio-metabolic and hematologic traits. We have identified 690 SV hotspots and deserts and those that potentially impact the regulation of medically relevant genes. This catalog characterizes SVs across multiple populations and will serve as a valuable tool to understand the impact of SV on disease development and progression.
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Affiliation(s)
- Goo Jun
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
| | - Adam C English
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Ginger A Metcalf
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Jianzhi Yang
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Vipin K Menon
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | | | | | - Albert V Smith
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - John A Lane
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Tom Blackwell
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Hyun Min Kang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Sejal Salvi
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Qingchang Meng
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Hua Shen
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Divya Pasham
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Sravya Bhamidipati
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Kavya Kottapalli
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Donna K. Arnett
- Department of Epidemiology, University of Kentucky College of Public Health
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, NC
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Paul L. Auer
- Division of Biostatistics and Cancer Center, Medical College of Wisconsin, Milwaukee WI
| | | | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas, Rio Grande Valley School of Medicine, Brownsville, TX
| | - Donald W. Bowden
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
| | - Yii-Der Ida Chen
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Joanne E. Curran
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tasha Fingerlin
- Center for Genes, Environment and Health, National Jewish Health, 1400 Jackson St., Denver, CO, 80206, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and the Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai
| | | | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, Taiwan
| | - John P Kane
- Cardiovascular Research Institute, University of California, San Francisco
| | - Robert Kaplan
- Department of epidemiology and population health, Albert Einstein College of Medicine, Bronx NY USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Gregory M Marcus
- Division of Cardiology, University of California, San Francisco CA
| | - Rasika A. Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Stephen T. McGarvey
- Department of Epidemiology, International Health Institute and Department of Anthropology, Brown University
| | - Courtney Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation
| | - Take Naseri
- Ministry of Health, Government of Samoa, Apia, Samoa
| | - S. Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Michael H. Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | | | - Aakrosh Ratan
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
| | | | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephen S. Rich
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University Bloomberg, School of Public Health, Baltimore, MD, USA
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | | | - Christine E. Seidman
- Department of Genetics, Harvard Medical School
- Cardiovascular Division, Brigham & Women’s Hospital, Harvard University
- Howard Hughes Medical Institute, Harvard University
| | | | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Jennifer A. Smith
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Adrienne Stilp
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Marilyn J. Telen
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Baojun Wu
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Lisa R. Yanek
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Susan K. Dutcher
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington, USA
| | | | | | - Ryan Kim
- Psomagen, Inc.,Rockville, Maryland, USA
| | | | | | | | - James Luo
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98109, USA
| | - Richard A Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Goncalo Abecasis
- Regeneron Genetics Center
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Fritz J Sedlazeck
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005, USA
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20
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Jun G, English AC, Metcalf GA, Yang J, Chaisson MJP, Pankratz N, Menon VK, Salerno WJ, Krasheninina O, Smith AV, Lane JA, Blackwell T, Kang HM, Salvi S, Meng Q, Shen H, Pasham D, Bhamidipati S, Kottapalli K, Arnett DK, Ashley-Koch A, Auer PL, Beutel KM, Bis JC, Blangero J, Bowden DW, Brody JA, Cade BE, Chen YDI, Cho MH, Curran JE, Fornage M, Freedman BI, Fingerlin T, Gelb BD, Hou L, Hung YJ, Kane JP, Kaplan R, Kim W, Loos RJ, Marcus GM, Mathias RA, McGarvey ST, Montgomery C, Naseri T, Nouraie SM, Preuss MH, Palmer ND, Peyser PA, Raffield LM, Ratan A, Redline S, Reupena S, Rotter JI, Rich SS, Rienstra M, Ruczinski I, Sankaran VG, Schwartz DA, Seidman CE, Seidman JG, Silverman EK, Smith JA, Stilp A, Taylor KD, Telen MJ, Weiss ST, Williams LK, Wu B, Yanek LR, Zhang Y, Lasky-Su J, Gingras MC, Dutcher SK, Eichler EE, Gabriel S, Germer S, Kim R, Viaud-Martinez KA, Nickerson DA, Luo J, Reiner A, Gibbs RA, Boerwinkle E, Abecasis G, Sedlazeck FJ. Structural variation across 138,134 samples in the TOPMed consortium. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.25.525428. [PMID: 36747810 PMCID: PMC9900832 DOI: 10.1101/2023.01.25.525428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Ever larger Structural Variant (SV) catalogs highlighting the diversity within and between populations help researchers better understand the links between SVs and disease. The identification of SVs from DNA sequence data is non-trivial and requires a balance between comprehensiveness and precision. Here we present a catalog of 355,667 SVs (59.34% novel) across autosomes and the X chromosome (50bp+) from 138,134 individuals in the diverse TOPMed consortium. We describe our methodologies for SV inference resulting in high variant quality and >90% allele concordance compared to long-read de-novo assemblies of well-characterized control samples. We demonstrate utility through significant associations between SVs and important various cardio-metabolic and hemotologic traits. We have identified 690 SV hotspots and deserts and those that potentially impact the regulation of medically relevant genes. This catalog characterizes SVs across multiple populations and will serve as a valuable tool to understand the impact of SV on disease development and progression.
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Affiliation(s)
- Goo Jun
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
| | - Adam C English
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Ginger A Metcalf
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Jianzhi Yang
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Vipin K Menon
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | | | | | - Albert V Smith
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - John A Lane
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Tom Blackwell
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Hyun Min Kang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Sejal Salvi
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Qingchang Meng
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Hua Shen
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Divya Pasham
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Sravya Bhamidipati
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Kavya Kottapalli
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Donna K. Arnett
- Department of Epidemiology, University of Kentucky College of Public Health
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, NC
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Paul L. Auer
- Division of Biostatistics and Cancer Center, Medical College of Wisconsin, Milwaukee WI
| | | | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas, Rio Grande Valley School of Medicine, Brownsville, TX
| | - Donald W. Bowden
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
| | - Yii-Der Ida Chen
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Joanne E. Curran
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tasha Fingerlin
- Center for Genes, Environment and Health, National Jewish Health, 1400 Jackson St., Denver, CO, 80206, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and the Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai
| | | | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, Taiwan
| | - John P Kane
- Cardiovascular Research Institute, University of California, San Francisco
| | - Robert Kaplan
- Department of epidemiology and population health, Albert Einstein College of Medicine, Bronx NY USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Gregory M Marcus
- Division of Cardiology, University of California, San Francisco CA
| | - Rasika A. Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Stephen T. McGarvey
- Department of Epidemiology, International Health Institute and Department of Anthropology, Brown University
| | - Courtney Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation
| | - Take Naseri
- Ministry of Health, Government of Samoa, Apia, Samoa
| | - S. Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Michael H. Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | | | - Aakrosh Ratan
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
| | | | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephen S. Rich
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University Bloomberg, School of Public Health, Baltimore, MD, USA
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | | | - Christine E. Seidman
- Department of Genetics, Harvard Medical School
- Cardiovascular Division, Brigham & Women’s Hospital, Harvard University
- Howard Hughes Medical Institute, Harvard University
| | | | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Jennifer A. Smith
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Adrienne Stilp
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Marilyn J. Telen
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Baojun Wu
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Lisa R. Yanek
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Susan K. Dutcher
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington, USA
| | | | | | - Ryan Kim
- Psomagen, Inc.,Rockville, Maryland, USA
| | | | | | | | - James Luo
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98109, USA
| | - Richard A Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Goncalo Abecasis
- Regeneron Genetics Center
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Fritz J Sedlazeck
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005, USA
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21
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Current advances in primate genomics: novel approaches for understanding evolution and disease. Nat Rev Genet 2023; 24:314-331. [PMID: 36599936 DOI: 10.1038/s41576-022-00554-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2022] [Indexed: 01/05/2023]
Abstract
Primate genomics holds the key to understanding fundamental aspects of human evolution and disease. However, genetic diversity and functional genomics data sets are currently available for only a few of the more than 500 extant primate species. Concerted efforts are under way to characterize primate genomes, genetic polymorphism and divergence, and functional landscapes across the primate phylogeny. The resulting data sets will enable the connection of genotypes to phenotypes and provide new insight into aspects of the genetics of primate traits, including human diseases. In this Review, we describe the existing genome assemblies as well as genetic variation and functional genomic data sets. We highlight some of the challenges with sample acquisition. Finally, we explore how technological advances in single-cell functional genomics and induced pluripotent stem cell-derived organoids will facilitate our understanding of the molecular foundations of primate biology.
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22
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Pokrovac I, Pezer Ž. Recent advances and current challenges in population genomics of structural variation in animals and plants. Front Genet 2022; 13:1060898. [PMID: 36523759 PMCID: PMC9745067 DOI: 10.3389/fgene.2022.1060898] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/15/2022] [Indexed: 05/02/2024] Open
Abstract
The field of population genomics has seen a surge of studies on genomic structural variation over the past two decades. These studies witnessed that structural variation is taxonomically ubiquitous and represent a dominant form of genetic variation within species. Recent advances in technology, especially the development of long-read sequencing platforms, have enabled the discovery of structural variants (SVs) in previously inaccessible genomic regions which unlocked additional structural variation for population studies and revealed that more SVs contribute to evolution than previously perceived. An increasing number of studies suggest that SVs of all types and sizes may have a large effect on phenotype and consequently major impact on rapid adaptation, population divergence, and speciation. However, the functional effect of the vast majority of SVs is unknown and the field generally lacks evidence on the phenotypic consequences of most SVs that are suggested to have adaptive potential. Non-human genomes are heavily under-represented in population-scale studies of SVs. We argue that more research on other species is needed to objectively estimate the contribution of SVs to evolution. We discuss technical challenges associated with SV detection and outline the most recent advances towards more representative reference genomes, which opens a new era in population-scale studies of structural variation.
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Affiliation(s)
| | - Željka Pezer
- Laboratory for Evolutionary Genetics, Division of Molecular Biology, Ruđer Bošković Institute, Zagreb, Croatia
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23
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Descorps-Declère S, Richard GF. Megasatellite formation and evolution in vertebrate genes. Cell Rep 2022; 40:111347. [PMID: 36103826 DOI: 10.1016/j.celrep.2022.111347] [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: 11/23/2021] [Revised: 04/28/2022] [Accepted: 08/23/2022] [Indexed: 11/03/2022] Open
Abstract
Since formation of the first proto-eukaryotes, gene repertoire and genome complexity have significantly increased. Among genetic elements responsible for this increase are tandem repeats. Here we describe a genome-wide analysis of large tandem repeats, called megasatellites, in 58 vertebrate genomes. Two bursts occurred, one after the radiation between Agnatha and Gnathostomata fishes and the second one in therian mammals. Megasatellites are enriched in subtelomeric regions and frequently encoded in genes involved in transcription regulation, intracellular trafficking, and cell membrane metabolism, reminiscent of what is observed in fungus genomes. The presence of many introns within young megasatellites suggests that an exon-intron DNA segment is first duplicated and amplified before accumulation of mutations in intronic parts partially erases the megasatellite in such a way that it becomes detectable only in exons. Our results suggest that megasatellite formation and evolution is a dynamic and still ongoing process in vertebrate genomes.
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Affiliation(s)
- Stéphane Descorps-Declère
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 25 rue du Dr Roux, 75015 Paris, France.
| | - Guy-Franck Richard
- Institut Pasteur, Université Paris Cité, CNRS UMR3525, Natural & Synthetic Genome Instabilities, 25 rue du Dr Roux, 75015 Paris, France.
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24
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Banes GL, Fountain ED, Karklus A, Fulton RS, Antonacci-Fulton L, Nelson JO. Nine out of ten samples were mistakenly switched by The Orang-utan Genome Consortium. Sci Data 2022; 9:485. [PMID: 35961988 PMCID: PMC9374732 DOI: 10.1038/s41597-022-01602-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 06/24/2022] [Indexed: 12/20/2022] Open
Abstract
The Sumatran orang-utan (Pongo abelii) reference genome was first published in 2011, in conjunction with ten re-sequenced genomes from unrelated wild-caught individuals. Together, these published data have been utilized in almost all great ape genomic studies, plus in much broader comparative genomic research. Here, we report that the original sequencing Consortium inadvertently switched nine of the ten samples and/or resulting re-sequenced genomes, erroneously attributing eight of these to the wrong source individuals. Among them is a genome from the recently identified Tapanuli (P. tapanuliensis) species: thus, this genome was sequenced and published a full six years prior to the species’ description. Sex was wrongly assigned to five known individuals; the numbers in one sample identifier were swapped; and the identifier for another sample most closely resembles that of a sample from another individual entirely. These errors have been reproduced in countless subsequent manuscripts, with noted implications for studies reliant on data from known individuals.
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Affiliation(s)
- Graham L Banes
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, 1220 Capitol Court, Madison, WI, 53715, USA. .,School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA. .,The Orang-utan Conservation Genetics Project, Madison, WI, 53715, USA.
| | - Emily D Fountain
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, 1220 Capitol Court, Madison, WI, 53715, USA.,The Orang-utan Conservation Genetics Project, Madison, WI, 53715, USA
| | - Alyssa Karklus
- School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA.,The Orang-utan Conservation Genetics Project, Madison, WI, 53715, USA
| | - Robert S Fulton
- McDonnell Genome Institute at Washington University, Washington University School of Medicine, 4444 Forest Park Avenue, Saint Louis, MO, 63108, USA
| | - Lucinda Antonacci-Fulton
- McDonnell Genome Institute at Washington University, Washington University School of Medicine, 4444 Forest Park Avenue, Saint Louis, MO, 63108, USA
| | - Joanne O Nelson
- McDonnell Genome Institute at Washington University, Washington University School of Medicine, 4444 Forest Park Avenue, Saint Louis, MO, 63108, USA
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25
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Espinós A, Fernández‐Ortuño E, Negri E, Borrell V. Evolution of genetic mechanisms regulating cortical neurogenesis. Dev Neurobiol 2022; 82:428-453. [PMID: 35670518 PMCID: PMC9543202 DOI: 10.1002/dneu.22891] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/26/2022] [Accepted: 05/24/2022] [Indexed: 11/20/2022]
Abstract
The size of the cerebral cortex increases dramatically across amniotes, from reptiles to great apes. This is primarily due to different numbers of neurons and glial cells produced during embryonic development. The evolutionary expansion of cortical neurogenesis was linked to changes in neural stem and progenitor cells, which acquired increased capacity of self‐amplification and neuron production. Evolution works via changes in the genome, and recent studies have identified a small number of new genes that emerged in the recent human and primate lineages, promoting cortical progenitor proliferation and increased neurogenesis. However, most of the mammalian genome corresponds to noncoding DNA that contains gene‐regulatory elements, and recent evidence precisely points at changes in expression levels of conserved genes as key in the evolution of cortical neurogenesis. Here, we provide an overview of basic cellular mechanisms involved in cortical neurogenesis across amniotes, and discuss recent progress on genetic mechanisms that may have changed during evolution, including gene expression regulation, leading to the expansion of the cerebral cortex.
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Affiliation(s)
- Alexandre Espinós
- Instituto de Neurociencias CSIC ‐ UMH, 03550 Sant Joan d'Alacant Spain
| | | | - Enrico Negri
- Instituto de Neurociencias CSIC ‐ UMH, 03550 Sant Joan d'Alacant Spain
| | - Víctor Borrell
- Instituto de Neurociencias CSIC ‐ UMH, 03550 Sant Joan d'Alacant Spain
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26
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Copy Number Variations Contribute to Intramuscular Fat Content Differences by Affecting the Expression of PELP1 Alternative Splices in Pigs. Animals (Basel) 2022; 12:ani12111382. [PMID: 35681846 PMCID: PMC9179479 DOI: 10.3390/ani12111382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/24/2022] [Accepted: 05/24/2022] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Copy number variation (CNV) is a type of variant that may influence meat quality of, for example intramuscular fat (IMF). In this study, a genome-wide association study (GWAS) was then performed between CNVs and IMF in a pig F2 resource population. A total of 19 CNVRs were found to be significantly associated with IMF. RNA-seq and qPCR validation results indicated that CNV150, which is located on the 3′UTR end of the proline, as well as glutamate and the leucine rich protein 1 (PELP1) gene may affect the expression of PELP1 alternative splices. We infer that the CNVR may influence IMF content by regulating the alternative splicing of the PELP1 gene and ultimately affects the structure of the PELP1 protein. These findings suggest a novel mechanistic approach for meat quality improvement in animals and the potential treatment of insulin resistance in human beings. Abstract Intramuscular fat (IMF) is a key meat quality trait. Research on the genetic mechanisms of IMF decomposition is valuable for both pork quality improvement and the treatment of obesity and type 2 diabetes. Copy number variations (CNVs) are a type of variant that may influence meat quality. In this study, a total of 1185 CNV regions (CNVRs) including 393 duplicated CNVRs, 432 deleted CNVRs, and 361 CNVRs with both duplicated and deleted status were identified in a pig F2 resource population using next-generation sequencing data. A genome-wide association study (GWAS) was then performed between CNVs and IMF, and a total of 19 CNVRs were found to be significantly associated with IMF. QTL colocation analysis indicated that 3 of the 19 CNVRs overlapped with known QTLs. RNA-seq and qPCR validation results indicated that CNV150, which is located on the 3′UTR end of the proline, as well as glutamate and the leucine rich protein 1 (PELP1) gene may affect the expression of PELP1 alternative splices. Sequence alignment and Alphafold2 structure prediction results indicated that the two alternative splices of PELP1 have a 23 AA sequence variation and a helix-fold structure variation. This region is located in the region of interaction between PELP1 and other proteins which have been reported to be significantly associated with fat deposition or insulin resistance. We infer that the CNVR may influence IMF content by regulating the alternative splicing of the PELP1 gene and ultimately affects the structure of the PELP1 protein. In conclusion, we found some CNVRs, especially CNV150, located in PELP1 that affect IMF. These findings suggest a novel mechanistic approach for meat quality improvement in animals and the potential treatment of insulin resistance in human beings.
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27
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Dosage sensitivity and exon shuffling shape the landscape of polymorphic duplicates in Drosophila and humans. Nat Ecol Evol 2021; 6:273-287. [PMID: 34969986 DOI: 10.1038/s41559-021-01614-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 11/10/2021] [Indexed: 11/08/2022]
Abstract
Despite polymorphic duplicate genes' importance for the early stages of duplicate gene evolution, they are less studied than old gene duplicates. Two essential questions thus remain poorly addressed: how does dosage sensitivity, imposed by stoichiometry in protein complexes or by X chromosome dosage compensation, affect the emergence of complete duplicate genes? Do introns facilitate intergenic and intragenic chimaerism as predicted by the theory of exon shuffling? Here, we analysed new data for Drosophila and public data for humans, to characterize polymorphic duplicate genes with respect to dosage, exon-intron structures and allele frequencies. We found that complete duplicate genes are under dosage constraint induced by protein stoichiometry but potentially tolerated by X chromosome dosage compensation. We also found that in the intron-rich human genome, gene fusions and intragenic duplications extensively use intronic breakpoints generating in-frame proteins, in accordance with the theory of exon shuffling. Finally, we found that only a small proportion of complete or partial duplicates are at high frequencies, indicating the deleterious nature of dosage or gene structural changes. Altogether, we demonstrate how mechanistic factors including dosage sensitivity and exon-intron structure shape the short-term functional consequences of gene duplication.
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28
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Wang Y, Zhao B, Choi J, Lee EA. Genomic approaches to trace the history of human brain evolution with an emerging opportunity for transposon profiling of ancient humans. Mob DNA 2021; 12:22. [PMID: 34663455 PMCID: PMC8525043 DOI: 10.1186/s13100-021-00250-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 09/27/2021] [Indexed: 12/17/2022] Open
Abstract
Transposable elements (TEs) significantly contribute to shaping the diversity of the human genome, and lines of evidence suggest TEs as one of driving forces of human brain evolution. Existing computational approaches, including cross-species comparative genomics and population genetic modeling, can be adapted for the study of the role of TEs in evolution. In particular, diverse ancient and archaic human genome sequences are increasingly available, allowing reconstruction of past human migration events and holding the promise of identifying and tracking TEs among other evolutionarily important genetic variants at an unprecedented spatiotemporal resolution. However, highly degraded short DNA templates and other unique challenges presented by ancient human DNA call for major changes in current experimental and computational procedures to enable the identification of evolutionarily important TEs. Ancient human genomes are valuable resources for investigating TEs in the evolutionary context, and efforts to explore ancient human genomes will potentially provide a novel perspective on the genetic mechanism of human brain evolution and inspire a variety of technological and methodological advances. In this review, we summarize computational and experimental approaches that can be adapted to identify and validate evolutionarily important TEs, especially for human brain evolution. We also highlight strategies that leverage ancient genomic data and discuss unique challenges in ancient transposon genomics.
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Affiliation(s)
- Yilan Wang
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Boxun Zhao
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA
| | - Jaejoon Choi
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Eunjung Alice Lee
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA.
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29
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Mostovoy Y, Yilmaz F, Chow SK, Chu C, Lin C, Geiger EA, Meeks NJL, Chatfield KC, Coughlin CR, Surti U, Kwok PY, Shaikh TH. Genomic regions associated with microdeletion/microduplication syndromes exhibit extreme diversity of structural variation. Genetics 2021; 217:6066166. [PMID: 33724415 DOI: 10.1093/genetics/iyaa038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 12/18/2020] [Indexed: 11/12/2022] Open
Abstract
Segmental duplications (SDs) are a class of long, repetitive DNA elements whose paralogs share a high level of sequence similarity with each other. SDs mediate chromosomal rearrangements that lead to structural variation in the general population as well as genomic disorders associated with multiple congenital anomalies, including the 7q11.23 (Williams-Beuren Syndrome, WBS), 15q13.3, and 16p12.2 microdeletion syndromes. Population-level characterization of SDs has generally been lacking because most techniques used for analyzing these complex regions are both labor and cost intensive. In this study, we have used a high-throughput technique to genotype complex structural variation with a single molecule, long-range optical mapping approach. We characterized SDs and identified novel structural variants (SVs) at 7q11.23, 15q13.3, and 16p12.2 using optical mapping data from 154 phenotypically normal individuals from 26 populations comprising five super-populations. We detected several novel SVs for each locus, some of which had significantly different prevalence between populations. Additionally, we localized the microdeletion breakpoints to specific paralogous duplicons located within complex SDs in two patients with WBS, one patient with 15q13.3, and one patient with 16p12.2 microdeletion syndromes. The population-level data presented here highlights the extreme diversity of large and complex SVs within SD-containing regions. The approach we outline will greatly facilitate the investigation of the role of inter-SD structural variation as a driver of chromosomal rearrangements and genomic disorders.
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Affiliation(s)
- Yulia Mostovoy
- Cardiovascular Research Institute, UCSF School of Medicine, San Francisco, CA 94143, USA
| | - Feyza Yilmaz
- Department of Integrative Biology, University of Colorado Denver, Denver, CO 80204, USA.,Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Stephen K Chow
- Cardiovascular Research Institute, UCSF School of Medicine, San Francisco, CA 94143, USA
| | - Catherine Chu
- Cardiovascular Research Institute, UCSF School of Medicine, San Francisco, CA 94143, USA
| | - Chin Lin
- Cardiovascular Research Institute, UCSF School of Medicine, San Francisco, CA 94143, USA
| | - Elizabeth A Geiger
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Naomi J L Meeks
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Kathryn C Chatfield
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, CO 80045, USA.,Department of Pediatrics, Section of Cardiology, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Curtis R Coughlin
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Urvashi Surti
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Pui-Yan Kwok
- Cardiovascular Research Institute, UCSF School of Medicine, San Francisco, CA 94143, USA.,Department of Dermatology, UCSF School of Medicine, San Francisco, CA 94143, USA.,Institute for Human Genetics, UCSF School of Medicine, San Francisco, CA 94143, USA
| | - Tamim H Shaikh
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, CO 80045, USA
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30
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Zhang L, Xiao H, Huang J, Ouyang L, Li S, Tang Y. Identification and expression analysis of the β-defensin genes in the goat small intestine. Gene 2021; 801:145846. [PMID: 34274482 DOI: 10.1016/j.gene.2021.145846] [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: 09/09/2020] [Revised: 03/22/2021] [Accepted: 07/13/2021] [Indexed: 11/24/2022]
Abstract
Defensins represent a family of cysteine-rich peptides that have broad-spectrum antimicrobial activities and serve as a typical kind of effector molecule in the immunity. Ruminant species have a large number of β-defensins in the absence of α- and θ-defensins. It is well-known that the genomes of sheep and cattle harbor at least 43 and 57 β-defensin genes, respectively. However, the repertoire of the goat β-defensin gene family has not been fully elucidated. In this study, we identified a total of 50 β-defensins from the goat genome, including 48 functional genes and 2 pseudogenes. Cross-species genomic and evolutionary analyses showed that all of the β-defensins in goat chromosomes 8, 13 and 23 present one-to-one orthologous relationships to their sheep and cattle counterparts, whereas some β-defensin genes in goat chromosome 27 are goat-specific. Moreover, we observed that some duplicated genes in goat chromosome 27 may be derived from gene copy number variation, and the annotation of sheep and cattle β-defensins appears to be incomplete in the genome. Importantly, real-time PCR analysis showed that 17 β-defensins are expressed in the small intestine with abundant cBD1s expression. These findings significant increased our knowledge of ruminant β-defensin and provided useful information for genetic studies, as well as providing a foundation for future research exploring the role of defensins in the immune response.
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Affiliation(s)
- Long Zhang
- Jiangxi Academy of Agricultural Sciences, Nanchang 330200, Jiangxi, China; Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, Sichuan, China
| | - Haihong Xiao
- Jiangxi Academy of Agricultural Sciences, Nanchang 330200, Jiangxi, China
| | - Jian Huang
- Jiangxi Academy of Agricultural Sciences, Nanchang 330200, Jiangxi, China
| | - Linghua Ouyang
- Jiangxi Academy of Agricultural Sciences, Nanchang 330200, Jiangxi, China.
| | - Siming Li
- Jiangxi Academy of Agricultural Sciences, Nanchang 330200, Jiangxi, China
| | - Yanqiang Tang
- Jiangxi Academy of Agricultural Sciences, Nanchang 330200, Jiangxi, China
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31
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Thomas GWC, Wang RJ, Nguyen J, Alan Harris R, Raveendran M, Rogers J, Hahn MW. Origins and Long-Term Patterns of Copy-Number Variation in Rhesus Macaques. Mol Biol Evol 2021; 38:1460-1471. [PMID: 33226085 PMCID: PMC8042740 DOI: 10.1093/molbev/msaa303] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Mutations play a key role in the development of disease in an individual and the evolution of traits within species. Recent work in humans and other primates has clarified the origins and patterns of single-nucleotide variants, showing that most arise in the father’s germline during spermatogenesis. It remains unknown whether larger mutations, such as deletions and duplications of hundreds or thousands of nucleotides, follow similar patterns. Such mutations lead to copy-number variation (CNV) within and between species, and can have profound effects by deleting or duplicating genes. Here, we analyze patterns of CNV mutations in 32 rhesus macaque individuals from 14 parent–offspring trios. We find the rate of CNV mutations per generation is low (less than one per genome) and we observe no correlation between parental age and the number of CNVs that are passed on to offspring. We also examine segregating CNVs within the rhesus macaque sample and compare them to a similar data set from humans, finding that both species have far more segregating deletions than duplications. We contrast this with long-term patterns of gene copy-number evolution between 17 mammals, where the proportion of deletions that become fixed along the macaque lineage is much smaller than the proportion of segregating deletions. These results suggest purifying selection acting on deletions, such that the majority of them are removed from the population over time. Rhesus macaques are an important biomedical model organism, so these results will aid in our understanding of this species and the disease models it supports.
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Affiliation(s)
- Gregg W C Thomas
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Richard J Wang
- Department of Biology, Indiana University, Bloomington, IN, USA
| | - Jelena Nguyen
- Department of Computer Science, Indiana University, Bloomington, IN, USA
| | - R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, IN, USA.,Department of Computer Science, Indiana University, Bloomington, IN, USA
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32
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Vervoort L, Dierckxsens N, Pereboom Z, Capozzi O, Rocchi M, Shaikh TH, Vermeesch JR. 22q11.2 Low Copy Repeats Expanded in the Human Lineage. Front Genet 2021; 12:706641. [PMID: 34335701 PMCID: PMC8320366 DOI: 10.3389/fgene.2021.706641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/23/2021] [Indexed: 11/13/2022] Open
Abstract
Segmental duplications or low copy repeats (LCRs) constitute duplicated regions interspersed in the human genome, currently neglected in standard analyses due to their extreme complexity. Recent functional studies have indicated the potential of genes within LCRs in synaptogenesis, neuronal migration, and neocortical expansion in the human lineage. One of the regions with the highest proportion of duplicated sequence is the 22q11.2 locus, carrying eight LCRs (LCR22-A until LCR22-H), and rearrangements between them cause the 22q11.2 deletion syndrome. The LCR22-A block was recently reported to be hypervariable in the human population. It remains unknown whether this variability also exists in non-human primates, since research is strongly hampered by the presence of sequence gaps in the human and non-human primate reference genomes. To chart the LCR22 haplotypes and the associated inter- and intra-species variability, we de novo assembled the region in non-human primates by a combination of optical mapping techniques. A minimal and likely ancient haplotype is present in the chimpanzee, bonobo, and rhesus monkey without intra-species variation. In addition, the optical maps identified assembly errors and closed gaps in the orthologous chromosome 22 reference sequences. These findings indicate the LCR22 expansion to be unique to the human population, which might indicate involvement of the region in human evolution and adaptation. Those maps will enable LCR22-specific functional studies and investigate potential associations with the phenotypic variability in the 22q11.2 deletion syndrome.
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Affiliation(s)
| | | | - Zjef Pereboom
- Centre for Research and Conservation, Royal Zoological Society of Antwerp, Antwerp, Belgium
- Evolutionary Ecology Group, Department of Biology, Antwerp University, Antwerp, Belgium
| | | | | | - Tamim H. Shaikh
- Section of Genetics and Metabolism, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, United States
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33
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Goldberg ME, Harris K. Mutational signatures of replication timing and epigenetic modification persist through the global divergence of mutation spectra across the great ape phylogeny. Genome Biol Evol 2021; 14:6275268. [PMID: 33983415 PMCID: PMC8743035 DOI: 10.1093/gbe/evab104] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/07/2021] [Indexed: 11/17/2022] Open
Abstract
Great ape clades exhibit variation in the relative mutation rates of different three-base-pair genomic motifs, with closely related species having more similar mutation spectra than distantly related species. This pattern cannot be explained by classical demographic or selective forces, but imply that DNA replication fidelity has been perturbed in different ways on each branch of the great ape phylogeny. Here, we use whole-genome variation from 88 great apes to investigate whether these species’ mutation spectra are broadly differentiated across the entire genome, or whether mutation spectrum differences are driven by DNA compartments that have particular functional features or chromatin states. We perform principal component analysis (PCA) and mutational signature deconvolution on mutation spectra ascertained from compartments defined by features including replication timing and ancient repeat content, finding evidence for consistent species-specific mutational signatures that do not depend on which functional compartments the spectra are ascertained from. At the same time, we find that many compartments have their own characteristic mutational signatures that appear stable across the great ape phylogeny. For example, in a mutation spectrum PCA compartmentalized by replication timing, the second principal component explaining 21.2% of variation separates all species’ late-replicating regions from their early-replicating regions. Our results suggest that great ape mutation spectrum evolution is not driven by epigenetic changes that modify mutation rates in specific genomic regions, but instead by trans-acting mutational modifiers that affect mutagenesis across the whole genome fairly uniformly.
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Affiliation(s)
- Michael E Goldberg
- University of Washington Department of Genome Sciences, 3720 15th Ave NE, Seattle WA 98105, United States of America
| | - Kelley Harris
- University of Washington Department of Genome Sciences, 3720 15th Ave NE, Seattle WA 98105, United States of America.,Fred Hutchinson Cancer Center Computational Biology Division, 1100 Fairview Ave N, Seattle, WA 98109, United States of America
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34
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Mao Y, Catacchio CR, Hillier LW, Porubsky D, Li R, Sulovari A, Fernandes JD, Montinaro F, Gordon DS, Storer JM, Haukness M, Fiddes IT, Murali SC, Dishuck PC, Hsieh P, Harvey WT, Audano PA, Mercuri L, Piccolo I, Antonacci F, Munson KM, Lewis AP, Baker C, Underwood JG, Hoekzema K, Huang TH, Sorensen M, Walker JA, Hoffman J, Thibaud-Nissen F, Salama SR, Pang AWC, Lee J, Hastie AR, Paten B, Batzer MA, Diekhans M, Ventura M, Eichler EE. A high-quality bonobo genome refines the analysis of hominid evolution. Nature 2021; 594:77-81. [PMID: 33953399 PMCID: PMC8172381 DOI: 10.1038/s41586-021-03519-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 04/07/2021] [Indexed: 12/17/2022]
Abstract
The divergence of chimpanzee and bonobo provides one of the few examples of recent hominid speciation1,2. Here we describe a fully annotated, high-quality bonobo genome assembly, which was constructed without guidance from reference genomes by applying a multiplatform genomics approach. We generate a bonobo genome assembly in which more than 98% of genes are completely annotated and 99% of the gaps are closed, including the resolution of about half of the segmental duplications and almost all of the full-length mobile elements. We compare the bonobo genome to those of other great apes1,3–5 and identify more than 5,569 fixed structural variants that specifically distinguish the bonobo and chimpanzee lineages. We focus on genes that have been lost, changed in structure or expanded in the last few million years of bonobo evolution. We produce a high-resolution map of incomplete lineage sorting and estimate that around 5.1% of the human genome is genetically closer to chimpanzee or bonobo and that more than 36.5% of the genome shows incomplete lineage sorting if we consider a deeper phylogeny including gorilla and orangutan. We also show that 26% of the segments of incomplete lineage sorting between human and chimpanzee or human and bonobo are non-randomly distributed and that genes within these clustered segments show significant excess of amino acid replacement compared to the rest of the genome. A high-quality bonobo genome assembly provides insights into incomplete lineage sorting in hominids and its relevance to gene evolution and the genetic relationship among living hominids.
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Affiliation(s)
- Yafei Mao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - LaDeana W Hillier
- 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
| | - Ruiyang Li
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Arvis Sulovari
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jason D Fernandes
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Francesco Montinaro
- Department of Biology, University of Bari, Bari, Italy.,Estonian Biocentre, Institute of Genomics, Tartu, Estonia
| | - 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
| | | | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Ian T Fiddes
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Shwetha Canchi Murali
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Philip C Dishuck
- 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
| | - William T Harvey
- 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
| | | | | | | | - 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
| | - Carl Baker
- 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
| | - Tzu-Hsueh Huang
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Melanie Sorensen
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Jerilyn A Walker
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Sofie R Salama
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.,Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | | | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Mark A Batzer
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Mario Ventura
- Department of Biology, University of Bari, Bari, Italy.
| | - 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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35
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Cayuela H, Dorant Y, Mérot C, Laporte M, Normandeau E, Gagnon-Harvey S, Clément M, Sirois P, Bernatchez L. Thermal adaptation rather than demographic history drives genetic structure inferred by copy number variants in a marine fish. Mol Ecol 2021; 30:1624-1641. [PMID: 33565147 DOI: 10.1111/mec.15835] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 01/15/2021] [Accepted: 02/01/2021] [Indexed: 12/22/2022]
Abstract
Increasing evidence shows that structural variants represent an overlooked aspect of genetic variation with consequential evolutionary roles. Among those, copy number variants (CNVs), including duplicated genomic regions and transposable elements (TEs), may contribute to local adaptation and/or reproductive isolation among divergent populations. Those mechanisms suppose that CNVs could be used to infer neutral and/or adaptive population genetic structure, whose study has been restricted to microsatellites, mitochondrial DNA and Amplified fragment length polymorphism markers in the past and more recently the use of single nucleotide polymorphisms (SNPs). Taking advantage of recent developments allowing CNV analysis from RAD-seq data, we investigated how variation in fitness-related traits, local environmental conditions and demographic history are associated with CNVs, and how subsequent copy number variation drives population genetic structure in a marine fish, the capelin (Mallotus villosus). We collected 1538 DNA samples from 35 sampling sites in the north Atlantic Ocean and identified 6620 putative CNVs. We found associations between CNVs and the gonadosomatic index, suggesting that six duplicated regions could affect female fitness by modulating oocyte production. We also detected 105 CNV candidates associated with water temperature, among which 20% corresponded to genomic regions located within the sequence of protein-coding genes, suggesting local adaptation to cold water by means of gene sequence amplification. We also identified 175 CNVs associated with the divergence of three previously defined parapatric glacial lineages, of which 24% were located within protein-coding genes, making those loci potential candidates for reproductive isolation. Lastly, our analyses unveiled a hierarchical, complex CNV population structure determined by temperature and local geography, which was in stark contrast to that inferred based on SNPs in a previous study. Our findings underline the complementarity of those two types of genomic variation in population genomics studies.
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Affiliation(s)
- Hugo Cayuela
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada.,Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
| | - Yann Dorant
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Claire Mérot
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Martin Laporte
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Eric Normandeau
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Stéphane Gagnon-Harvey
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
| | - Marie Clément
- Center for Fisheries Ecosystems Research, Fisheries and Marine Institute of Memorial, University of Newfoundland, St. John's, NL, Canada.,Labrador Institute of Memorial University of Newfoundland, Happy Valley-Goose Bay, NL, Canada
| | - Pascal Sirois
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
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36
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Li J, Fan Z, Shen F, Pendleton AL, Song Y, Xing J, Yue B, Kidd JM, Li J. Genomic Copy Number Variation Study of Nine Macaca Species Provides New Insights into Their Genetic Divergence, Adaptation, and Biomedical Application. Genome Biol Evol 2020; 12:2211-2230. [PMID: 32970804 PMCID: PMC7846157 DOI: 10.1093/gbe/evaa200] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2020] [Indexed: 02/06/2023] Open
Abstract
Copy number variation (CNV) can promote phenotypic diversification and adaptive evolution. However, the genomic architecture of CNVs among Macaca species remains scarcely reported, and the roles of CNVs in adaptation and evolution of macaques have not been well addressed. Here, we identified and characterized 1,479 genome-wide hetero-specific CNVs across nine Macaca species with bioinformatic methods, along with 26 CNV-dense regions and dozens of lineage-specific CNVs. The genes intersecting CNVs were overrepresented in nutritional metabolism, xenobiotics/drug metabolism, and immune-related pathways. Population-level transcriptome data showed that nearly 46% of CNV genes were differentially expressed across populations and also mainly consisted of metabolic and immune-related genes, which implied the role of CNVs in environmental adaptation of Macaca. Several CNVs overlapping drug metabolism genes were verified with genomic quantitative polymerase chain reaction, suggesting that these macaques may have different drug metabolism features. The CNV-dense regions, including 15 first reported here, represent unstable genomic segments in macaques where biological innovation may evolve. Twelve gains and 40 losses specific to the Barbary macaque contain genes with essential roles in energy homeostasis and immunity defense, inferring the genetic basis of its unique distribution in North Africa. Our study not only elucidated the genetic diversity across Macaca species from the perspective of structural variation but also provided suggestive evidence for the role of CNVs in adaptation and genome evolution. Additionally, our findings provide new insights into the application of diverse macaques to drug study.
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Affiliation(s)
- Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Zhenxin Fan
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Feichen Shen
- Department of Human Genetics, Medical School, University of Michigan
| | | | - Yang Song
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jinchuan Xing
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway
| | - Bisong Yue
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jeffrey M Kidd
- Department of Human Genetics, Medical School, University of Michigan
| | - Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
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37
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Orkin JD, Kuderna LFK, Marques-Bonet T. The Diversity of Primates: From Biomedicine to Conservation Genomics. Annu Rev Anim Biosci 2020; 9:103-124. [PMID: 33197208 DOI: 10.1146/annurev-animal-061220-023138] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Until now, the field of primate genomics has focused on two major themes: understanding human evolution and advancing biomedical research. We propose that it is now time for a third theme to receive attention: conservation genomics. As a result of anthropogenic effects, the majority of primate species have become threatened with extinction. A more robust primate conservation genomics will allow for genetically informed population management. Thanks to a steady decline in the cost of sequencing, it has now become feasible to sequence whole primate genomes at the population level. Furthermore, technological advances in noninvasive genomic methods have made it possible to acquire genome-scale data from noninvasive biomaterials. Here, we review recent advances in the analysis of primate diversity, with a focus on genomic data sets across the radiation.
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Affiliation(s)
- Joseph D Orkin
- Institut de Biologia Evolutiva, Pompeu Fabra University and Spanish National Research Council, 08003 Barcelona, Spain; , ,
| | - Lukas F K Kuderna
- Institut de Biologia Evolutiva, Pompeu Fabra University and Spanish National Research Council, 08003 Barcelona, Spain; , ,
| | - Tomas Marques-Bonet
- Institut de Biologia Evolutiva, Pompeu Fabra University and Spanish National Research Council, 08003 Barcelona, Spain; , , .,Sequencing Unit, National Genomic Analysis Center, Centre for Genomic Regulation, Barcelona Institute of Science, 08036 Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats, 08010 Barcelona, Spain.,Institut Català de Paleontologia Miquel Crusafont, Universitat Autónoma de Barcelona, 08193 Barcelona, Spain
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38
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Liu Y, Konopka G. An integrative understanding of comparative cognition: lessons from human brain evolution. Integr Comp Biol 2020; 60:991-1006. [PMID: 32681799 PMCID: PMC7608741 DOI: 10.1093/icb/icaa109] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
A comprehensive understanding of animal cognition requires the integration of studies on behavior, electrophysiology, neuroanatomy, development, and genomics. Although studies of comparative cognition are receiving increasing attention from organismal biologists, most current studies focus on the comparison of behaviors and anatomical structures to understand their adaptative values. However, to understand the most potentially complex cognitive program of the human brain a greater synthesis of a multitude of disciplines is needed. In this review, we start with extensive neuroanatomic comparisons between humans and other primates. One likely specialization of the human brain is the expansion of neocortex, especially in regions for high-order cognition (e.g., prefrontal cortex). We then discuss how such an expansion can be linked to heterochrony of the brain developmental program, resulting in a greater number of neurons and enhanced computational capacity. Furthermore, alteration of gene expression in the human brain has been associated with positive selection in DNA sequences of gene regulatory regions. These results not only imply that genes associated with brain development are a major factor in the evolution of cognition, but also that high-quality whole-genome sequencing and gene manipulation techniques are needed for an integrative and functional understanding of comparative cognition in non-model organisms.
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Affiliation(s)
- Yuxiang Liu
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Genevieve Konopka
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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Cantsilieris S, Sunkin SM, Johnson ME, Anaclerio F, Huddleston J, Baker C, Dougherty ML, Underwood JG, Sulovari A, Hsieh P, Mao Y, Catacchio CR, Malig M, Welch AE, Sorensen M, Munson KM, Jiang W, Girirajan S, Ventura M, Lamb BT, Conlon RA, Eichler EE. An evolutionary driver of interspersed segmental duplications in primates. Genome Biol 2020; 21:202. [PMID: 32778141 PMCID: PMC7419210 DOI: 10.1186/s13059-020-02074-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 06/08/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The complex interspersed pattern of segmental duplications in humans is responsible for rearrangements associated with neurodevelopmental disease, including the emergence of novel genes important in human brain evolution. We investigate the evolution of LCR16a, a putative driver of this phenomenon that encodes one of the most rapidly evolving human-ape gene families, nuclear pore interacting protein (NPIP). RESULTS Comparative analysis shows that LCR16a has independently expanded in five primate lineages over the last 35 million years of primate evolution. The expansions are associated with independent lineage-specific segmental duplications flanking LCR16a leading to the emergence of large interspersed duplication blocks at non-orthologous chromosomal locations in each primate lineage. The intron-exon structure of the NPIP gene family has changed dramatically throughout primate evolution with different branches showing characteristic gene models yet maintaining an open reading frame. In the African ape lineage, we detect signatures of positive selection that occurred after a transition to more ubiquitous expression among great ape tissues when compared to Old World and New World monkeys. Mouse transgenic experiments from baboon and human genomic loci confirm these expression differences and suggest that the broader ape expression pattern arose due to mutational changes that emerged in cis. CONCLUSIONS LCR16a promotes serial interspersed duplications and creates hotspots of genomic instability that appear to be an ancient property of primate genomes. Dramatic changes to NPIP gene structure and altered tissue expression preceded major bouts of positive selection in the African ape lineage, suggestive of a gene undergoing strong adaptive evolution.
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Affiliation(s)
- Stuart Cantsilieris
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
- Present Address: Centre for Eye Research Australia, Department of Surgery (Ophthalmology), University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
| | | | - Matthew E Johnson
- Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Fabio Anaclerio
- Department of Biology-Genetics, University of Bari, Bari, Italy
| | - John Huddleston
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, 98195, USA
| | - Carl Baker
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Max L Dougherty
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Jason G Underwood
- Pacific Biosciences (PacBio) of California, Incorporated, Menlo Park, CA, 94025, USA
| | - Arvis Sulovari
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - PingHsun Hsieh
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Yafei Mao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | | | - Maika Malig
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
- Present Address: Department of Molecular and Cellular Biology, University of California, Davis, CA, 95616, USA
- Present Address: Integrative Genetics and Genomics Graduate Group, University of California, Davis, CA, 95616, USA
| | - AnneMarie E Welch
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
- Present Address: Brain and Mitochondrial Research, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Melanie Sorensen
- 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
| | - Weihong Jiang
- Case Transgenic and Targeting Facility, Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Santhosh Girirajan
- Department of Biochemistry and Molecular Biology, Department of Anthropology, Pennsylvania State University, University Park, PA, 16802, USA
| | - Mario Ventura
- Department of Biology-Genetics, University of Bari, Bari, Italy
| | - Bruce T Lamb
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Ronald A Conlon
- Case Transgenic and Targeting Facility, Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA.
- Howard Hughes Medical Institute, University of Washington School of Medicine, 3720 15th Ave NE, S413C, Box 355065, Seattle, WA, 98195-5065, USA.
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Recurrent inversion toggling and great ape genome evolution. Nat Genet 2020; 52:849-858. [PMID: 32541924 PMCID: PMC7415573 DOI: 10.1038/s41588-020-0646-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 05/15/2020] [Indexed: 01/14/2023]
Abstract
Inversions play an important role in disease and evolution but are difficult to characterize because their breakpoints map to large repeats. We increased by sixfold the number (n = 1,069) of previously reported great ape inversions by using single-cell DNA template strand and long-read sequencing. We find that the X chromosome is most enriched (2.5-fold) for inversions, on the basis of its size and duplication content. There is an excess of differentially expressed primate genes near the breakpoints of large (>100 kilobases (kb)) inversions but not smaller events. We show that when great ape lineage-specific duplications emerge, they preferentially (approximately 75%) occur in an inverted orientation compared to that at their ancestral locus. We construct megabase-pair scale haplotypes for individual chromosomes and identify 23 genomic regions that have recurrently toggled between a direct and an inverted state over 15 million years. The direct orientation is most frequently the derived state for human polymorphisms that predispose to recurrent copy number variants associated with neurodevelopmental disease.
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Extreme differences between human germline and tumor mutation densities are driven by ancestral human-specific deviations. Nat Commun 2020; 11:2512. [PMID: 32427823 PMCID: PMC7237693 DOI: 10.1038/s41467-020-16296-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 04/22/2020] [Indexed: 12/29/2022] Open
Abstract
Mutations do not accumulate uniformly across the genome. Human germline and tumor mutation density correlate poorly, and each is associated with different genomic features. Here, we use non-human great ape (NHGA) germlines to determine human germline- and tumor-specific deviations from an ancestral-like great ape genome-wide mutational landscape. Strikingly, we find that the distribution of mutation densities in tumors presents a stronger correlation with NHGA than with human germlines. This effect is driven by human-specific differences in the distribution of mutations at non-CpG sites. We propose that ancestral human demographic events, together with the human-specific mutation slowdown, disrupted the human genome-wide distribution of mutation densities. Tumors partially recover this distribution by accumulating preneoplastic-like somatic mutations. Our results highlight the potential utility of using NHGA population data, rather than human controls, to establish the expected mutational background of healthy somatic cells.
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Brasó-Vives M, Povolotskaya IS, Hartasánchez DA, Farré X, Fernandez-Callejo M, Raveendran M, Harris RA, Rosene DL, Lorente-Galdos B, Navarro A, Marques-Bonet T, Rogers J, Juan D. Copy number variants and fixed duplications among 198 rhesus macaques (Macaca mulatta). PLoS Genet 2020; 16:e1008742. [PMID: 32392208 PMCID: PMC7241854 DOI: 10.1371/journal.pgen.1008742] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 05/21/2020] [Accepted: 03/27/2020] [Indexed: 01/01/2023] Open
Abstract
The rhesus macaque is an abundant species of Old World monkeys and a valuable model organism for biomedical research due to its close phylogenetic relationship to humans. Copy number variation is one of the main sources of genomic diversity within and between species and a widely recognized cause of inter-individual differences in disease risk. However, copy number differences among rhesus macaques and between the human and macaque genomes, as well as the relevance of this diversity to research involving this nonhuman primate, remain understudied. Here we present a high-resolution map of sequence copy number for the rhesus macaque genome constructed from a dataset of 198 individuals. Our results show that about one-eighth of the rhesus macaque reference genome is composed of recently duplicated regions, either copy number variable regions or fixed duplications. Comparison with human genomic copy number maps based on previously published data shows that, despite overall similarities in the genome-wide distribution of these regions, there are specific differences at the chromosome level. Some of these create differences in the copy number profile between human disease genes and their rhesus macaque orthologs. Our results highlight the importance of addressing the number of copies of target genes in the design of experiments and cautions against human-centered assumptions in research conducted with model organisms. Overall, we present a genome-wide copy number map from a large sample of rhesus macaque individuals representing an important novel contribution concerning the evolution of copy number in primate genomes.
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Affiliation(s)
- Marina Brasó-Vives
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomèdica de Barcelona, Barcelona, Catalonia, Spain
- Laboratoire de Biométrie et Biologie Évolutive UMR 5558, Université de Lyon, Université Lyon 1, CNRS, Villeurbanne, France
| | - Inna S. Povolotskaya
- Veltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow, Russia
| | - Diego A. Hartasánchez
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomèdica de Barcelona, Barcelona, Catalonia, Spain
| | - Xavier Farré
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomèdica de Barcelona, Barcelona, Catalonia, Spain
| | - Marcos Fernandez-Callejo
- National Centre for Genomic Analysis-Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - R. Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Douglas L. Rosene
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Belen Lorente-Galdos
- Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Arcadi Navarro
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomèdica de Barcelona, Barcelona, Catalonia, Spain
- National Institute for Bioinformatics (INB), Barcelona, Catalonia, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Catalonia, Spain
| | - Tomas Marques-Bonet
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomèdica de Barcelona, Barcelona, Catalonia, Spain
- National Centre for Genomic Analysis-Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Catalonia, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Catalonia, Spain
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - David Juan
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomèdica de Barcelona, Barcelona, Catalonia, Spain
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Jasinska AJ. Resources for functional genomic studies of health and development in nonhuman primates. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2020; 171 Suppl 70:174-194. [PMID: 32221967 DOI: 10.1002/ajpa.24051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 01/22/2020] [Accepted: 02/26/2020] [Indexed: 01/01/2023]
Abstract
Primates display a wide range of phenotypic variation underlaid by complex genetically regulated mechanisms. The links among DNA sequence, gene function, and phenotype have been of interest from an evolutionary perspective, to understand functional genome evolution and its phenotypic consequences, and from a biomedical perspective to understand the shared and human-specific roots of health and disease. Progress in methods for characterizing genetic, transcriptomic, and DNA methylation (DNAm) variation is driving the rapid development of extensive omics resources, which are now increasingly available from humans as well as a growing number of nonhuman primates (NHPs). The fast growth of large-scale genomic data is driving the emergence of integrated tools and databases, thus facilitating studies of gene functionality across primates. This review describes NHP genomic resources that can aid in exploration of how genes shape primate phenotypes. It focuses on the gene expression trajectories across development in different tissues, the identification of functional genetic variation (including variants deleterious for protein function and regulatory variants modulating gene expression), and DNAm profiles as an emerging tool to understand the process of aging. These resources enable comparative functional genomics approaches to identify species-specific and primate-shared gene functionalities associated with health and development.
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Affiliation(s)
- Anna J Jasinska
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.,Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.,Eye on Primates, Los Angeles, California, USA
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Identification of Structural Variation in Chimpanzees Using Optical Mapping and Nanopore Sequencing. Genes (Basel) 2020; 11:genes11030276. [PMID: 32143403 PMCID: PMC7140787 DOI: 10.3390/genes11030276] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 02/29/2020] [Accepted: 02/29/2020] [Indexed: 12/19/2022] Open
Abstract
Recent efforts to comprehensively characterize great ape genetic diversity using short-read sequencing and single-nucleotide variants have led to important discoveries related to selection within species, demographic history, and lineage-specific traits. Structural variants (SVs), including deletions and inversions, comprise a larger proportion of genetic differences between and within species, making them an important yet understudied source of trait divergence. Here, we used a combination of long-read and -range sequencing approaches to characterize the structural variant landscape of two additional Pan troglodytes verus individuals, one of whom carries 13% admixture from Pan troglodytes troglodytes. We performed optical mapping of both individuals followed by nanopore sequencing of one individual. Filtering for larger variants (>10 kbp) and combined with genotyping of SVs using short-read data from the Great Ape Genome Project, we identified 425 deletions and 59 inversions, of which 88 and 36, respectively, were novel. Compared with gene expression in humans, we found a significant enrichment of chimpanzee genes with differential expression in lymphoblastoid cell lines and induced pluripotent stem cells, both within deletions and near inversion breakpoints. We examined chromatin-conformation maps from human and chimpanzee using these same cell types and observed alterations in genomic interactions at SV breakpoints. Finally, we focused on 56 genes impacted by SVs in >90% of chimpanzees and absent in humans and gorillas, which may contribute to chimpanzee-specific features. Sequencing a greater set of individuals from diverse subspecies will be critical to establish the complete landscape of genetic variation in chimpanzees.
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45
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Mostajo-Radji MA, Schmitz MT, Montoya ST, Pollen AA. Reverse engineering human brain evolution using organoid models. Brain Res 2020; 1729:146582. [PMID: 31809699 PMCID: PMC7058376 DOI: 10.1016/j.brainres.2019.146582] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 11/25/2019] [Accepted: 11/29/2019] [Indexed: 02/06/2023]
Abstract
Primate brains vary dramatically in size and organization, but the genetic and developmental basis for these differences has been difficult to study due to lack of experimental models. Pluripotent stem cells and brain organoids provide a potential opportunity for comparative and functional studies of evolutionary differences, particularly during the early stages of neurogenesis. However, many challenges remain, including isolating stem cell lines from additional great ape individuals and species to capture the breadth of ape genetic diversity, improving the reproducibility of organoid models to study evolved differences in cell composition and combining multiple brain regions to capture connectivity relationships. Here, we describe strategies for identifying evolved developmental differences between humans and non-human primates and for isolating the underlying cellular and genetic mechanisms using comparative analyses, chimeric organoid culture, and genome engineering. In particular, we focus on how organoid models could ultimately be applied beyond studies of progenitor cell evolution to decode the origin of recent changes in cellular organization, connectivity patterns, myelination, synaptic development, and physiology that have been implicated in human cognition.
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Affiliation(s)
- Mohammed A Mostajo-Radji
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA; The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA 94143, USA
| | - Matthew T Schmitz
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA; The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sebastian Torres Montoya
- Health Co-creation Laboratory, Medellin General Hospital, Medellin, Antioquia, Colombia; Baskin School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Alex A Pollen
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA; The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA 94143, USA.
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46
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Shen F, Kidd JM. Rapid, Paralog-Sensitive CNV Analysis of 2457 Human Genomes Using QuicK-mer2. Genes (Basel) 2020; 11:genes11020141. [PMID: 32013076 PMCID: PMC7073954 DOI: 10.3390/genes11020141] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 01/21/2020] [Accepted: 01/24/2020] [Indexed: 12/22/2022] Open
Abstract
Gene duplication is a major mechanism for the evolution of gene novelty, and copy-number variation makes a major contribution to inter-individual genetic diversity. However, most approaches for studying copy-number variation rely upon uniquely mapping reads to a genome reference and are unable to distinguish among duplicated sequences. Specialized approaches to interrogate specific paralogs are comparatively slow and have a high degree of computational complexity, limiting their effective application to emerging population-scale data sets. We present QuicK-mer2, a self-contained, mapping-free approach that enables the rapid construction of paralog-specific copy-number maps from short-read sequence data. This approach is based on the tabulation of unique k-mer sequences from short-read data sets, and is able to analyze a 20X coverage human genome in approximately 20 min. We applied our approach to newly released sequence data from the 1000 Genomes Project, constructed paralog-specific copy-number maps from 2457 unrelated individuals, and uncovered copy-number variation of paralogous genes. We identify nine genes where none of the analyzed samples have a copy number of two, 92 genes where the majority of samples have a copy number other than two, and describe rare copy number variation effecting multiple genes at the APOBEC3 locus.
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Affiliation(s)
- Feichen Shen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA;
| | - Jeffrey M. Kidd
- Department of Human Genetics and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence:
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Ritschard EA, Whitelaw B, Albertin CB, Cooke IR, Strugnell JM, Simakov O. Coupled Genomic Evolutionary Histories as Signatures of Organismal Innovations in Cephalopods: Co-evolutionary Signatures Across Levels of Genome Organization May Shed Light on Functional Linkage and Origin of Cephalopod Novelties. Bioessays 2019; 41:e1900073. [PMID: 31664724 DOI: 10.1002/bies.201900073] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 09/05/2019] [Indexed: 12/07/2023]
Abstract
How genomic innovation translates into organismal organization remains largely unanswered. Possessing the largest invertebrate nervous system, in conjunction with many species-specific organs, coleoid cephalopods (octopuses, squids, cuttlefishes) provide exciting model systems to investigate how organismal novelties evolve. However, dissecting these processes requires novel approaches that enable deeper interrogation of genome evolution. Here, the existence of specific sets of genomic co-evolutionary signatures between expanded gene families, genome reorganization, and novel genes is posited. It is reasoned that their co-evolution has contributed to the complex organization of cephalopod nervous systems and the emergence of ecologically unique organs. In the course of reviewing this field, how the first cephalopod genomic studies have begun to shed light on the molecular underpinnings of morphological novelty is illustrated and their impact on directing future research is described. It is argued that the application and evolutionary profiling of evolutionary signatures from these studies will help identify and dissect the organismal principles of cephalopod innovations. By providing specific examples, the implications of this approach both within and beyond cephalopod biology are discussed.
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Affiliation(s)
- Elena A Ritschard
- Department for Molecular Evolution and Development, University of Vienna, Austria
| | - Brooke Whitelaw
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, 4811, Australia
| | | | - Ira R Cooke
- Department of Molecular and Cell Biology, James Cook University, Townsville, Queensland, 4811, Australia
| | - Jan M Strugnell
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, 4811, Australia
- Department of Ecology, Environment and Evolution, La Trobe University, Melbourne, Victoria, 3086, Australia
| | - Oleg Simakov
- Department for Molecular Evolution and Development, University of Vienna, Austria
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Glinsky GV. A Catalogue of 59,732 Human-Specific Regulatory Sequences Reveals Unique-to-Human Regulatory Patterns Associated with Virus-Interacting Proteins, Pluripotency, and Brain Development. DNA Cell Biol 2019; 39:126-143. [PMID: 31730374 DOI: 10.1089/dna.2019.4988] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Extensive searches for genomic regions harboring various types of candidate human-specific regulatory sequences (HSRS) identified thousands' HSRS using high-resolution next-generation sequencing technologies and methodologically diverse comparative analyses of human and nonhuman primates' (NHPs) reference genomes. In this study, a comprehensive catalogue of 59,732 genomic loci harboring candidate HSRS has been assembled to facilitate the systematic analyses of genomic sequences that were either inherited from extinct common ancestors (ECAs) or created de novo in human genomes. These analyses identified thousands of candidate HSRS and HSRS-harboring loci that appear inherited from ECAs, yet absent in genomes of our closest evolutionary relatives, chimpanzee and bonobo, presumably due to the incomplete lineage sorting and/or species-specific loss or regulatory DNA. This pattern is particularly prominent for HSRS-harboring loci that have been putatively associated with human-specific gene expression changes in cerebral organoid models. A prominent majority of regions harboring human-specific mutations associated with human-specific expression changes during brain development is highly conserved in chimpanzee, bonobo, and gorilla genomes. Among NHPs, dominant fractions of HSRS-harboring loci associated with human-specific gene expression in both excitatory neurons (347 loci; 67%) and radial glia (683 loci; 72%) are highly conserved in the gorilla genome. Analysis of 4433 genes encoding virus-interacting proteins (VIPs) revealed that 95.9% of human VIPs are components of human-specific regulatory networks that appear to operate in distinct types of human cells from preimplantation embryos to adult dorsolateral prefrontal cortex. These analyses demonstrate that modern humans captured unique genome-wide combinations of regulatory sequences, divergent subsets of which are highly conserved in distinct species of six NHP separated by 30 million years of evolution. Concurrently, this unique-to-human mosaic of genomic regulatory patterns inherited from ECAs was supplemented with 12,486 created de novo HSRS. Genes encoding VIPs appear to represent a principal genomic target during evolution of human-specific regulatory networks, which contribute to fitness of Homo sapiens and affect a functionally diverse spectrum of biological and cellular processes controlled by VIP-containing liquid-liquid phase-separated condensates.
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Affiliation(s)
- Gennadi V Glinsky
- Institute of Engineering in Medicine, University of California, San Diego, La Jolla, California
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Polar bear evolution is marked by rapid changes in gene copy number in response to dietary shift. Proc Natl Acad Sci U S A 2019; 116:13446-13451. [PMID: 31209046 DOI: 10.1073/pnas.1901093116] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Polar bear (Ursus maritimus) and brown bear (Ursus arctos) are recently diverged species that inhabit vastly differing habitats. Thus, analysis of the polar bear and brown bear genomes represents a unique opportunity to investigate the evolutionary mechanisms and genetic underpinnings of rapid ecological adaptation in mammals. Copy number (CN) differences in genomic regions between closely related species can underlie adaptive phenotypes and this form of genetic variation has not been explored in the context of polar bear evolution. Here, we analyzed the CN profiles of 17 polar bears, 9 brown bears, and 2 black bears (Ursus americanus). We identified an average of 318 genes per individual that showed evidence of CN variation (CNV). Nearly 200 genes displayed species-specific CN differences between polar bear and brown bear species. Principal component analysis of gene CN provides strong evidence that CNV evolved rapidly in the polar bear lineage and mainly resulted in CN loss. Olfactory receptors composed 47% of CN differentiated genes, with the majority of these genes being at lower CN in the polar bear. Additionally, we found significantly fewer copies of several genes involved in fatty acid metabolism as well as AMY1B, the salivary amylase-encoding gene in the polar bear. These results suggest that natural selection shaped patterns of CNV in response to the transition from an omnivorous to primarily carnivorous diet during polar bear evolution. Our analyses of CNV shed light on the genomic underpinnings of ecological adaptation during polar bear evolution.
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Doan RN, Shin T, Walsh CA. Evolutionary Changes in Transcriptional Regulation: Insights into Human Behavior and Neurological Conditions. Annu Rev Neurosci 2019; 41:185-206. [PMID: 29986162 DOI: 10.1146/annurev-neuro-080317-062104] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Understanding the biological basis for human-specific cognitive traits presents both immense challenges and unique opportunities. Although the question of what makes us human has been investigated with several different methods, the rise of comparative genomics, epigenomics, and medical genetics has provided tools to help narrow down and functionally assess the regions of the genome that seem evolutionarily relevant along the human lineage. In this review, we focus on how medical genetic cases have provided compelling functional evidence for genes and loci that appear to have interesting evolutionary signatures in humans. Furthermore, we examine a special class of noncoding regions, human accelerated regions (HARs), that have been suggested to show human-lineage-specific divergence, and how the use of clinical and population data has started to provide functional information to examine these regions. Finally, we outline methods that provide new insights into functional noncoding sequences in evolution.
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Affiliation(s)
- Ryan N Doan
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA; .,Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital, Boston, Massachusetts 02115, USA.,Howard Hughes Medical Institute, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Taehwan Shin
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA; .,Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Christopher A Walsh
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA; .,Allen Discovery Center for Human Brain Evolution, Boston Children's Hospital, Boston, Massachusetts 02115, USA.,Howard Hughes Medical Institute, Boston Children's Hospital, Boston, Massachusetts 02115, USA.,Departments of Pediatrics and Neurology, Harvard Medical School, Boston, Massachusetts 02138, USA
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