1
|
Zhang S, Xu N, Fu L, Yang X, Ma K, Li Y, Yang Z, Li Z, Feng Y, Jiang X, Han J, Hu R, Zhang L, Lian D, de Gennaro L, Paparella A, Ryabov F, Meng D, He Y, Wu D, Yang C, Mao Y, Bian X, Lu Y, Antonacci F, Ventura M, Shepelev VA, Miga KH, Alexandrov IA, Logsdon GA, Phillippy AM, Su B, Zhang G, Eichler EE, Lu Q, Shi Y, Sun Q, Mao Y. Integrated analysis of the complete sequence of a macaque genome. Nature 2025:10.1038/s41586-025-08596-w. [PMID: 40011769 DOI: 10.1038/s41586-025-08596-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 01/03/2025] [Indexed: 02/28/2025]
Abstract
The crab-eating macaques (Macaca fascicularis) and rhesus macaques (Macaca mulatta) are pivotal in biomedical and evolutionary research1-3. However, their genomic complexity and interspecies genetic differences remain unclear4. Here, we present a complete genome assembly of a crab-eating macaque, revealing 46% fewer segmental duplications and 3.83 times longer centromeres than those of humans5,6. We also characterize 93 large-scale genomic differences between macaques and humans at a single-base-pair resolution, highlighting their impact on gene regulation in primate evolution. Using ten long-read macaque genomes, hundreds of short-read macaque genomes and full-length transcriptome data, we identified roughly 2 Mbp of fixed-genetic variants, roughly 240 Mbp of complex loci, 16.76 Mbp genetic differentiation regions and 110 alternative splice events, potentially associated with various phenotypic differences between the two macaque species. In summary, the integrated genetic analysis enhances understanding of lineage-specific phenotypes, adaptation and primate evolution, thereby improving their biomedical applications in human disease research.
Collapse
Affiliation(s)
- Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, China
| | - Ning Xu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, 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
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, China
| | - Xiangyu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Kaiyue Ma
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yamei Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zikun Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Zhengtong Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yu Feng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Xinrui Jiang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Junmin Han
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Ruixing Hu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Lu Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Lingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Da Lian
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Luciana de Gennaro
- Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, Bari, Italy
| | - Annalisa Paparella
- Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, Bari, Italy
| | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | - Dan Meng
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yaoxi He
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Key Laboratory of Integrative Anthropology, Kunming, China
| | - Dongya Wu
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, China
- Center of Evolutionary and Organismal Biology, and Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- School of Medicine, Zhejiang University, Hangzhou, China
| | - Chentao Yang
- Center of Evolutionary and Organismal Biology, and Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yuxiang Mao
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xinyan Bian
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yong Lu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Francesca Antonacci
- Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, Bari, Italy
| | - Mario Ventura
- Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, Bari, Italy
| | - Valery A Shepelev
- Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Karen H Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Ivan A Alexandrov
- Department of Anatomy and Anthropology and Department of Human Molecular Genetics and Biochemistry, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Glennis A Logsdon
- Department of Genetics, Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Adam M Phillippy
- Center for Genomics and Data Science Research, Genome Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bing Su
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Key Laboratory of Integrative Anthropology, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Guojie Zhang
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, China
- Center of Evolutionary and Organismal Biology, and Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- School of Medicine, Zhejiang University, Hangzhou, 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
| | - 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, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
| | - Qiang Sun
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China.
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China.
- National Key Laboratory of Genetic Evolution and Animal Model, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- University of Chinese Academy of Sciences, Beijing, 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.
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, China.
- Shanghai Key Laboratory of Embryo Original Diseases, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| |
Collapse
|
2
|
Joyce MG, Bu W, Chen WH, Gillespie RA, Andrews SF, Wheatley AK, Tsybovsky Y, Jensen JL, Stephens T, Prabhakaran M, Fisher BE, Narpala SR, Bagchi M, McDermott AB, Nabel GJ, Kwong PD, Mascola JR, Cohen JI, Kanekiyo M. Structural basis for complement receptor engagement and virus neutralization through Epstein-Barr virus gp350. Immunity 2025; 58:295-308.e5. [PMID: 39909035 DOI: 10.1016/j.immuni.2025.01.010] [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: 04/25/2023] [Revised: 09/11/2024] [Accepted: 01/10/2025] [Indexed: 02/07/2025]
Abstract
Epstein-Barr virus (EBV) causes infectious mononucleosis and is associated with malignancies in humans. Viral infection of B cells is initiated by the viral glycoprotein 350 (gp350) binding to complement receptor 2 (CR2). Despite decades of effort, no vaccines or curative agents have been developed, partly due to lack of atomic-level understanding of the virus-host interface. Here, we determined the 1.7 Å structure of gp350 in complex with CR2. CR2 binding of gp350 utilized the same set of Arg residues required for recognition of its natural ligand, complement C3d. We further determined the structures of gp350 in complex with three potently neutralizing antibodies (nAbs) obtained from vaccinated macaques and EBV-infected individuals. Like the CR2 interaction, these nAbs targeted the acidic pocket within the CR2-binding site on gp350 using Arg residues. Our results illustrate two axes of molecular mimicry-gp350 versus C3d and CR2 versus EBV nAbs-offering insights for EBV vaccines and therapeutics development.
Collapse
Affiliation(s)
- M Gordon Joyce
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD 20817, USA; Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
| | - Wei Bu
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Wei-Hung Chen
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD 20817, USA; Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
| | - Rebecca A Gillespie
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sarah F Andrews
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adam K Wheatley
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yaroslav Tsybovsky
- Vaccine Research Center Electron Microscopy Unit, Cancer Research Technology Program, Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Jaime L Jensen
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD 20817, USA; Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
| | - Tyler Stephens
- Vaccine Research Center Electron Microscopy Unit, Cancer Research Technology Program, Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Madhu Prabhakaran
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Brian E Fisher
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sandeep R Narpala
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Meghna Bagchi
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adrian B McDermott
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Gary J Nabel
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Peter D Kwong
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - John R Mascola
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jeffrey I Cohen
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Masaru Kanekiyo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| |
Collapse
|
3
|
Shi W, Jin E, Fang L, Sun Y, Fan Z, Zhu J, Liang C, Zhang YP, Zhang YQ, Wang GD, Zhao W. VDGE: a data repository of variation database for gene-edited animals across multiple species. Nucleic Acids Res 2025; 53:D1250-D1260. [PMID: 39470732 PMCID: PMC11701559 DOI: 10.1093/nar/gkae956] [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: 08/19/2024] [Revised: 10/05/2024] [Accepted: 10/10/2024] [Indexed: 11/01/2024] Open
Abstract
Gene-edited animals are crucial for addressing fundamental questions in biology and medicine and hold promise for practical applications. In light of the rapid advancement of gene editing technologies over the past decade, a dramatically increased number of gene-edited animals have been generated. Genome editing at off-target sites can, however, introduce genomic variations, potentially leading to unintended functional consequences in these animals. So, there is an urgent need to systematically collect and collate these variations in gene-edited animals to aid data mining and integrative in-depth analyses. However, existing databases are currently insufficient to meet this need. Here, we present the Variation Database of Gene-Edited animals (VDGE, https://ngdc.cncb.ac.cn/vdge), the first open-access repository to present genomic variations and annotations in gene-edited animals, with a particular focus on larger animals such as monkeys. At present, VDGE houses 151 on-target mutations from 210 samples, and 115,710 variations identified from 107 gene-edited and wild-type animal trios through unified and standardized analysis and concurrently provides comprehensive annotation details for each variation, thus facilitating the assessment of their functional consequences and promoting mechanistic studies and practical applications for gene-edited animals.
Collapse
Affiliation(s)
- Wenwen Shi
- State Key Laboratory of Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
| | - Enhui Jin
- National Genomics Data Center, China National Center for Bioinformation, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- University of Chinese Academy of Sciences, No.1 Yanqihu East Rd, Huairou District, Beijing 101408, China
| | - Lu Fang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
| | - Yanling Sun
- National Genomics Data Center, China National Center for Bioinformation, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Cambridge Street, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Cambridge Street, Houston, TX 77030, USA
| | - Zhuojing Fan
- National Genomics Data Center, China National Center for Bioinformation, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
| | - Junwei Zhu
- National Genomics Data Center, China National Center for Bioinformation, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
| | - Chengzhi Liang
- University of Chinese Academy of Sciences, No.1 Yanqihu East Rd, Huairou District, Beijing 101408, China
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
| | - Ya-Ping Zhang
- Key Laboratory of Genetic Evolution and Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, No.17 Longxin Road, Panlong District, Kunming 650201, China
| | - Yong Q Zhang
- State Key Laboratory of Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- University of Chinese Academy of Sciences, No.1 Yanqihu East Rd, Huairou District, Beijing 101408, China
- School of Life Sciences, Hubei University, 368 Youyi Avenue, Wuchang District, Wuhan 430062, China
| | - Guo-Dong Wang
- University of Chinese Academy of Sciences, No.1 Yanqihu East Rd, Huairou District, Beijing 101408, China
- Key Laboratory of Genetic Evolution and Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, No.17 Longxin Road, Panlong District, Kunming 650201, China
| | - Wenming Zhao
- National Genomics Data Center, China National Center for Bioinformation, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China
- University of Chinese Academy of Sciences, No.1 Yanqihu East Rd, Huairou District, Beijing 101408, China
| |
Collapse
|
4
|
de Groot N, van der Wiel M, Le NG, de Groot NG, Bruijnesteijn J, Bontrop RE. Unraveling the architecture of major histocompatibility complex class II haplotypes in rhesus macaques. Genome Res 2024; 34:1811-1824. [PMID: 39443153 DOI: 10.1101/gr.278968.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 05/28/2024] [Indexed: 10/25/2024]
Abstract
The regions in the genome that encode components of the immune system are often featured by polymorphism, copy number variation, and segmental duplications. There is a need to thoroughly characterize these complex regions to gain insight into the impact of genomic diversity on health and disease. Here we resolve the organization of complete major histocompatibility complex (MHC) class II regions in rhesus macaques by using a long-read sequencing strategy (Oxford Nanopore Technologies) in concert with adaptive sampling. In particular, the expansion and contraction of the primate DRB-region appear to be a dynamic process that involves the rearrangement of different cassettes of paralogous genes. These chromosomal recombination events are propagated by a conserved pseudogene, DRB6, which features the integration of two retroviral elements. In contrast, the DRA locus appears to be protected from rearrangements, which may be owing to the presence of an adjacently located truncated gene segment, DRB9 With our sequencing strategy, the annotation, evolutionary conservation, and potential function of pseudogenes can be reassessed, an aspect that was neglected by most genome studies in primates. Furthermore, our approach facilitates the characterization and refinement of an animal model essential to study human biology and disease.
Collapse
Affiliation(s)
- Nanine de Groot
- Department of Comparative Genetics and Refinement, BPRC, 2288 GJ Rijswijk, the Netherlands
| | - Marit van der Wiel
- Department of Comparative Genetics and Refinement, BPRC, 2288 GJ Rijswijk, the Netherlands
| | - Ngoc Giang Le
- Department of Comparative Genetics and Refinement, BPRC, 2288 GJ Rijswijk, the Netherlands
| | - Natasja G de Groot
- Department of Comparative Genetics and Refinement, BPRC, 2288 GJ Rijswijk, the Netherlands
| | - Jesse Bruijnesteijn
- Department of Comparative Genetics and Refinement, BPRC, 2288 GJ Rijswijk, the Netherlands;
| | - Ronald E Bontrop
- Department of Comparative Genetics and Refinement, BPRC, 2288 GJ Rijswijk, the Netherlands
- Department of Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, the Netherlands
| |
Collapse
|
5
|
Kliesmete Z, Orchard P, Lee VYK, Geuder J, Krauß SM, Ohnuki M, Jocher J, Vieth B, Enard W, Hellmann I. Evidence for compensatory evolution within pleiotropic regulatory elements. Genome Res 2024; 34:1528-1539. [PMID: 39255977 PMCID: PMC11534155 DOI: 10.1101/gr.279001.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 08/19/2024] [Indexed: 09/12/2024]
Abstract
Pleiotropy, measured as expression breadth across tissues, is one of the best predictors for protein sequence and expression conservation. In this study, we investigated its effect on the evolution of cis-regulatory elements (CREs). To this end, we carefully reanalyzed the Epigenomics Roadmap data for nine fetal tissues, assigning a measure of pleiotropic degree to nearly half a million CREs. To assess the functional conservation of CREs, we generated ATAC-seq and RNA-seq data from humans and macaques. We found that more pleiotropic CREs exhibit greater conservation in accessibility, and the mRNA expression levels of the associated genes are more conserved. This trend of higher conservation for higher degrees of pleiotropy persists when analyzing the transcription factor binding repertoire. In contrast, simple DNA sequence conservation of orthologous sites between species tends to be even lower for pleiotropic CREs than for species-specific CREs. Combining various lines of evidence, we propose that the lack of sequence conservation in functionally conserved pleiotropic CREs is owing to within-element compensatory evolution. In summary, our findings suggest that pleiotropy is also a good predictor for the functional conservation of CREs, even though this is not reflected in the sequence conservation of pleiotropic CREs.
Collapse
Affiliation(s)
- Zane Kliesmete
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
| | - Peter Orchard
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109-2218, USA
| | - Victor Yan Kin Lee
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Johanna Geuder
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
| | - Simon M Krauß
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
- Department of Hematology, Cell Therapy, Hemostaseology and Infectious Diseases, University Leipzig Medical Center, 04103 Leipzig, Germany
| | - Mari Ohnuki
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
- Faculty of Medicine, Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto 606-8501, Japan
| | - Jessica Jocher
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
| | - Beate Vieth
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
| | - Wolfgang Enard
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany
| | - Ines Hellmann
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians Universität München, 82152 Munich, Germany;
| |
Collapse
|
6
|
Zakas PM, Cunningham SC, Doherty A, van Dijk EB, Ibraheim R, Yu S, Mekonnen BD, Lang B, English EJ, Sun G, Duncan MC, Benczkowski MS, Altshuler RC, Singh MJ, Kibbler ES, Tonga GY, Wang ZJ, Wang ZJ, Li G, An D, Rottman JB, Bhavsar Y, Purcell C, Jain R, Alberry R, Roquet N, Fu Y, Citorik RJ, Rubens JR, Holmes MC, Cotta-Ramusino C, Querbes W, Alexander IE, Salomon WE. Sleeping Beauty mRNA-LNP enables stable rAAV transgene expression in mouse and NHP hepatocytes and improves vector potency. Mol Ther 2024; 32:3356-3371. [PMID: 38981468 PMCID: PMC11489535 DOI: 10.1016/j.ymthe.2024.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/05/2024] [Accepted: 06/14/2024] [Indexed: 07/11/2024] Open
Abstract
Recombinant adeno-associated virus (rAAV) vector gene delivery systems have demonstrated great promise in clinical trials but continue to face durability and dose-related challenges. Unlike rAAV gene therapy, integrating gene addition approaches can provide curative expression in mitotically active cells and pediatric populations. We explored a novel in vivo delivery approach based on an engineered transposase, Sleeping Beauty (SB100X), delivered as an mRNA within a lipid nanoparticle (LNP), in combination with an rAAV-delivered transposable transgene. This combinatorial approach achieved correction of ornithine transcarbamylase deficiency in the neonatal Spfash mouse model following a single delivery to dividing hepatocytes in the newborn liver. Correction remained stable into adulthood, while a conventional rAAV approach resulted in a return to the disease state. In non-human primates, integration by transposition, mediated by this technology, improved gene expression 10-fold over conventional rAAV-mediated gene transfer while requiring 5-fold less vector. Additionally, integration site analysis confirmed a random profile while specifically targeting TA dinucleotides across the genome. Together, these findings demonstrate that transposable elements can improve rAAV-delivered therapies by lowering the vector dose requirement and associated toxicity while expanding target cell types.
Collapse
Affiliation(s)
| | - Sharon C Cunningham
- Gene Therapy Research Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney and Sydney Children's Hospitals Network, Westmead, NSW 2145, Australia
| | - Ann Doherty
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | - Eva B van Dijk
- Gene Therapy Research Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney and Sydney Children's Hospitals Network, Westmead, NSW 2145, Australia
| | - Raed Ibraheim
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | - Stephanie Yu
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | | | - Brendan Lang
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | | | - Gang Sun
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | | | | | | | | | | | - Gulen Y Tonga
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | - Zi Jun Wang
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | - Z Jane Wang
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | - Guangde Li
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | - Ding An
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | | | | | | | - Rachit Jain
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | - Ryan Alberry
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | | | - Yanfang Fu
- Tessera Therapeutics, Inc., Somerville, MA 02143, USA
| | | | | | | | | | | | - Ian E Alexander
- Gene Therapy Research Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney and Sydney Children's Hospitals Network, Westmead, NSW 2145, Australia; Discipline of Child and Adolescent Health, University of Sydney, Westmead, NSW 2145, Australia.
| | | |
Collapse
|
7
|
Hou M, Akhtar MS, Hayashi M, Ashino R, Matsumoto-Oda A, Hayakawa T, Ishida T, Melin AD, Imai H, Kawamura S. Reduction of bitter taste receptor gene family in folivorous colobine primates relative to omnivorous cercopithecine primates. Primates 2024; 65:311-331. [PMID: 38605281 PMCID: PMC11219393 DOI: 10.1007/s10329-024-01124-w] [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: 09/19/2023] [Accepted: 02/26/2024] [Indexed: 04/13/2024]
Abstract
Bitter taste perception is important in preventing animals from ingesting potentially toxic compounds. Whole-genome assembly (WGA) data have revealed that bitter taste receptor genes (TAS2Rs) comprise a multigene family with dozens of intact and disrupted genes in primates. However, publicly available WGA data are often incomplete, especially for multigene families. In this study, we employed a targeted capture (TC) approach specifically probing TAS2Rs for ten species of cercopithecid primates with diverse diets, including eight omnivorous cercopithecine species and two folivorous colobine species. We designed RNA probes for all TAS2Rs that we modeled to be intact in the common ancestor of cercopithecids ("ancestral-cercopithecid TAS2R gene set"). The TC was followed by short-read and high-depth massive-parallel sequencing. TC retrieved more intact TAS2R genes than found in WGA databases. We confirmed a large number of gene "births" at the common ancestor of cercopithecids and found that the colobine common ancestor and the cercopithecine common ancestor had contrasting trajectories: four gene "deaths" and three gene births, respectively. The number of intact TAS2R genes was markedly reduced in colobines (25-28 detected via TC and 20-26 detected via WGA analysis) as compared with cercopithecines (27-36 via TC and 19-30 via WGA). Birth or death events occurred at almost every phylogenetic-tree branch, making the composition of intact genes variable among species. These results show that evolutionary change in intact TAS2R genes is a complex process, refute a simple general prediction that herbivory favors more TAS2R genes, and have implications for understanding dietary adaptations and the evolution of detoxification abilities.
Collapse
Affiliation(s)
- Min Hou
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Bioscience BLDG Room 502, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
| | - Muhammad Shoaib Akhtar
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Bioscience BLDG Room 502, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
| | - Masahiro Hayashi
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Bioscience BLDG Room 502, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
| | - Ryuichi Ashino
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Bioscience BLDG Room 502, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
| | - Akiko Matsumoto-Oda
- Graduate School of Tourism Sciences, University of the Ryukyus, Nishihara, Okinawa, Japan
| | - Takashi Hayakawa
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido, Japan
- Japan Monkey Centre, Inuyama, Aichi, Japan
| | - Takafumi Ishida
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Amanda D Melin
- Department of Anthropology and Archaeology, University of Calgary, Alberta, Canada
- Department of Medical Genetics, University of Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Alberta, Canada
| | - Hiroo Imai
- Molecular Biology Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Kyoto, Aichi, Japan
| | - Shoji Kawamura
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Bioscience BLDG Room 502, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan.
| |
Collapse
|
8
|
Prall TM, Karl JA, Varghese JM, Baker DA, Minor NR, Raveendran M, Harris RA, Rogers J, Wiseman RW, O’Connor DH. Complete Genomic Assembly of Mauritian Cynomolgus Macaque Killer Ig-like Receptor and Natural Killer Group 2 Haplotypes. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:1754-1765. [PMID: 38639635 PMCID: PMC11102026 DOI: 10.4049/jimmunol.2300856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/24/2024] [Indexed: 04/20/2024]
Abstract
Mauritian-origin cynomolgus macaques (MCMs) serve as a powerful nonhuman primate model in biomedical research due to their unique genetic homogeneity, which simplifies experimental designs. Despite their extensive use, a comprehensive understanding of crucial immune-regulating gene families, particularly killer Ig-like receptors (KIR) and NK group 2 (NKG2), has been hindered by the lack of detailed genomic reference assemblies. In this study, we employ advanced long-read sequencing techniques to completely assemble eight KIR and seven NKG2 genomic haplotypes, providing an extensive insight into the structural and allelic diversity of these immunoregulatory gene clusters. Leveraging these genomic resources, we prototype a strategy for genotyping KIR and NKG2 using short-read, whole-exome capture data, illustrating the potential for cost-effective multilocus genotyping at colony scale. These results mark a significant enhancement for biomedical research in MCMs and underscore the feasibility of broad-scale genetic investigations.
Collapse
Affiliation(s)
- Trent M. Prall
- Department of Pathology and Laboratory Medicine, University of Wisconsin–Madison, Madison, WI
| | - Julie A. Karl
- Department of Pathology and Laboratory Medicine, University of Wisconsin–Madison, Madison, WI
| | - Joshua M. Varghese
- Department of Pathology and Laboratory Medicine, University of Wisconsin–Madison, Madison, WI
| | - David A. Baker
- Department of Pathology and Laboratory Medicine, University of Wisconsin–Madison, Madison, WI
| | - Nicholas R. Minor
- Department of Pathology and Laboratory Medicine, University of Wisconsin–Madison, Madison, WI
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - R. Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Jeffery Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Roger W. Wiseman
- Department of Pathology and Laboratory Medicine, University of Wisconsin–Madison, Madison, WI
- Wisconsin National Primate Research Center, University of Wisconsin–Madison, Madison, WI
| | - David H. O’Connor
- Department of Pathology and Laboratory Medicine, University of Wisconsin–Madison, Madison, WI
- Wisconsin National Primate Research Center, University of Wisconsin–Madison, Madison, WI
| |
Collapse
|
9
|
Espinosa E, Bautista R, Larrosa R, Plata O. Advancements in long-read genome sequencing technologies and algorithms. Genomics 2024; 116:110842. [PMID: 38608738 DOI: 10.1016/j.ygeno.2024.110842] [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: 10/31/2023] [Revised: 04/01/2024] [Accepted: 04/06/2024] [Indexed: 04/14/2024]
Abstract
The recent advent of long read sequencing technologies, such as Pacific Biosciences (PacBio) and Oxford Nanopore technology (ONT), have led to substantial improvements in accuracy and computational cost in sequencing genomes. However, de novo whole-genome assembly still presents significant challenges related to the quality of the results. Pursuing de novo whole-genome assembly remains a formidable challenge, underscored by intricate considerations surrounding computational demands and result quality. As sequencing accuracy and throughput steadily advance, a continuous stream of innovative assembly tools floods the field. Navigating this dynamic landscape necessitates a reasonable choice of sequencing platform, depth, and assembly tools to orchestrate high-quality genome reconstructions. This comprehensive review delves into the intricate interplay between cutting-edge long read sequencing technologies, assembly methodologies, and the ever-evolving field of genomics. With a focus on addressing the pivotal challenges and harnessing the opportunities presented by these advancements, we provide an in-depth exploration of the crucial factors influencing the selection of optimal strategies for achieving robust and insightful genome assemblies.
Collapse
Affiliation(s)
- Elena Espinosa
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain.
| | - Rocio Bautista
- Supercomputing and Bioinnovation Center, University of Malaga, C. Severo Ochoa, 34, Malaga 29590, Spain.
| | - Rafael Larrosa
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain; Supercomputing and Bioinnovation Center, University of Malaga, C. Severo Ochoa, 34, Malaga 29590, Spain.
| | - Oscar Plata
- Department of Computer Architecture, University of Malaga, Louis Pasteur, 35, Campus de Teatinos, Malaga 29071, Spain.
| |
Collapse
|
10
|
Zhang S, Xu N, Fu L, Yang X, Li Y, Yang Z, Feng Y, Ma K, Jiang X, Han J, Hu R, Zhang L, de Gennaro L, Ryabov F, Meng D, He Y, Wu D, Yang C, Paparella A, Mao Y, Bian X, Lu Y, Antonacci F, Ventura M, Shepelev VA, Miga KH, Alexandrov IA, Logsdon GA, Phillippy AM, Su B, Zhang G, Eichler EE, Lu Q, Shi Y, Sun Q, Mao Y. Comparative genomics of macaques and integrated insights into genetic variation and population history. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.07.588379. [PMID: 38645259 PMCID: PMC11030432 DOI: 10.1101/2024.04.07.588379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The crab-eating macaques ( Macaca fascicularis ) and rhesus macaques ( M. mulatta ) are widely studied nonhuman primates in biomedical and evolutionary research. Despite their significance, the current understanding of the complex genomic structure in macaques and the differences between species requires substantial improvement. Here, we present a complete genome assembly of a crab-eating macaque and 20 haplotype-resolved macaque assemblies to investigate the complex regions and major genomic differences between species. Segmental duplication in macaques is ∼42% lower, while centromeres are ∼3.7 times longer than those in humans. The characterization of ∼2 Mbp fixed genetic variants and ∼240 Mbp complex loci highlights potential associations with metabolic differences between the two macaque species (e.g., CYP2C76 and EHBP1L1 ). Additionally, hundreds of alternative splicing differences show post-transcriptional regulation divergence between these two species (e.g., PNPO ). We also characterize 91 large-scale genomic differences between macaques and humans at a single-base-pair resolution and highlight their impact on gene regulation in primate evolution (e.g., FOLH1 and PIEZO2 ). Finally, population genetics recapitulates macaque speciation and selective sweeps, highlighting potential genetic basis of reproduction and tail phenotype differences (e.g., STAB1 , SEMA3F , and HOXD13 ). In summary, the integrated analysis of genetic variation and population genetics in macaques greatly enhances our comprehension of lineage-specific phenotypes, adaptation, and primate evolution, thereby improving their biomedical applications in human diseases.
Collapse
|
11
|
Pozo G, Albuja-Quintana M, Larreátegui L, Gutiérrez B, Fuentes N, Alfonso-Cortés F, Torres MDL. First whole-genome sequence and assembly of the Ecuadorian brown-headed spider monkey (Ateles fusciceps fusciceps), a critically endangered species, using Oxford Nanopore Technologies. G3 (BETHESDA, MD.) 2024; 14:jkae014. [PMID: 38244218 PMCID: PMC10917520 DOI: 10.1093/g3journal/jkae014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 12/11/2023] [Accepted: 01/05/2024] [Indexed: 01/22/2024]
Abstract
The Ecuadorian brown-headed spider monkey (Ateles fusciceps fusciceps) is currently considered one of the most endangered primates in the world and is classified as critically endangered [International union for conservation of nature (IUCN)]. It faces multiple threats, the most significant one being habitat loss due to deforestation in western Ecuador. Genomic tools are keys for the management of endangered species, but this requires a reference genome, which until now was unavailable for A. f. fusciceps. The present study reports the first whole-genome sequence and assembly of A. f. fusciceps generated using Oxford Nanopore long reads. DNA was extracted from a subadult male, and libraries were prepared for sequencing following the Ligation Sequencing Kit SQK-LSK112 workflow. Sequencing was performed using a MinION Mk1C sequencer. The sequencing reads were processed to generate a genome assembly. Two different assemblers were used to obtain draft genomes using raw reads, of which the Flye assembly was found to be superior. The final assembly has a total length of 2.63 Gb and contains 3,861 contigs, with an N50 of 7,560,531 bp. The assembly was analyzed for annotation completeness based on primate ortholog prediction using a high-resolution database, and was found to be 84.3% complete, with a low number of duplicated genes indicating a precise assembly. The annotation of the assembly predicted 31,417 protein-coding genes, comparable with other mammal assemblies. A reference genome for this critically endangered species will allow researchers to gain insight into the genetics of its populations and thus aid conservation and management efforts of this vulnerable species.
Collapse
Affiliation(s)
- Gabriela Pozo
- Laboratorio de Biotecnología Vegetal, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Quito 170901, Ecuador
- Instituto Nacional de Biodiversidad (INABIO), Quito 170135, Ecuador
| | - Martina Albuja-Quintana
- Laboratorio de Biotecnología Vegetal, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Quito 170901, Ecuador
| | - Lizbeth Larreátegui
- Laboratorio de Biotecnología Vegetal, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Quito 170901, Ecuador
| | - Bernardo Gutiérrez
- Laboratorio de Biotecnología Vegetal, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Quito 170901, Ecuador
- Department of Biology, University of Oxford, Oxford OX1 3SZ, UK
| | - Nathalia Fuentes
- Proyecto Washu/Fundación Naturaleza y Arte, Quito 170521, Ecuador
| | | | - Maria de Lourdes Torres
- Laboratorio de Biotecnología Vegetal, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Quito 170901, Ecuador
- Instituto Nacional de Biodiversidad (INABIO), Quito 170135, Ecuador
| |
Collapse
|
12
|
Karl JA, Prall TM, Bussan HE, Varghese JM, Pal A, Wiseman RW, O'Connor DH. Complete sequencing of a cynomolgus macaque major histocompatibility complex haplotype. Genome Res 2023; 33:448-462. [PMID: 36854669 PMCID: PMC10078292 DOI: 10.1101/gr.277429.122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/21/2023] [Indexed: 03/02/2023]
Abstract
Macaques provide the most widely used nonhuman primate models for studying the immunology and pathogenesis of human diseases. Although the macaque major histocompatibility complex (MHC) region shares most features with the human leukocyte antigen (HLA) region, macaques have an expanded repertoire of MHC class I genes. Although a chimera of two rhesus macaque MHC haplotypes was first published in 2004, the structural diversity of MHC genomic organization in macaques remains poorly understood owing to a lack of adequate genomic reference sequences. We used ultralong Oxford Nanopore and high-accuracy Pacific Biosciences (PacBio) HiFi sequences to fully assemble the ∼5.2-Mb M3 haplotype of an MHC-homozygous, Mauritian-origin cynomolgus macaque (Macaca fascicularis). The MHC homozygosity allowed us to assemble a single MHC haplotype unambiguously and avoid chimeric assemblies that hampered previous efforts to characterize this exceptionally complex genomic region in macaques. The high quality of this new assembly is exemplified by the identification of an extended cluster of six Mafa-AG genes that contains a recent duplication with a highly similar ∼48.5-kb block of sequence. The MHC class II region of this M3 haplotype is similar to the previously sequenced rhesus macaque haplotype and HLA class II haplotypes. The MHC class I region, in contrast, contains 13 MHC-B genes, four MHC-A genes, and three MHC-E genes (vs. 19 MHC-B, two MHC-A, and one MHC-E in the previously sequenced haplotype). These results provide an unambiguously assembled single contiguous cynomolgus macaque MHC haplotype with fully curated gene annotations that will inform infectious disease and transplantation research.
Collapse
Affiliation(s)
- Julie A Karl
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Trent M Prall
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Hailey E Bussan
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Joshua M Varghese
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Aparna Pal
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Roger W Wiseman
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin 53715, USA
| | - David H O'Connor
- Department of Pathology and Laboratory Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA;
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, Wisconsin 53715, USA
| |
Collapse
|
13
|
Hu Q, Huang X, Jin Y, Zhang R, Zhao A, Wang Y, Zhou C, Liu W, Liu X, Li C, Fan G, Zhuo M, Wang X, Ling F, Luo W. Long-read assembly of major histocompatibility complex and killer cell immunoglobulin-like receptor genome regions in cynomolgus macaque. Biol Direct 2022; 17:36. [PMID: 36447238 PMCID: PMC9707422 DOI: 10.1186/s13062-022-00350-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/21/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND The major histocompatibility complex (MHC) and the killer cell immunoglobulin-like receptors (KIR) are key regulators of immune responses. The cynomolgus macaque, an Old World monkey species, can be applied as an important preclinical model for studying human diseases, including coronavirus disease 2019 (COVID-19). Several MHC-KIR combinations have been associated with either a poor or good prognosis. Therefore, macaques with a well-characterized immunogenetic profile may improve drug evaluation and speed up vaccine development. At present, a complete overview of the MHC and KIR haplotype organizations in cynomolgus macaques is lacking, and characterization by conventional techniques is hampered by the extensive expansion of the macaque MHC-B region that complicates the discrimination between genes and alleles. METHODS We assembled complete MHC and KIR genomic regions of cynomolgus macaque using third-generation long-read sequencing approach. We identified functional Mafa-B loci at the transcriptome level using locus-specific amplification in a cohort of 33 Vietnamese cynomolgus macaques. RESULTS This is the first physical mapping of complete MHC and KIR gene regions in a Vietnamese cynomolgus macaque. Furthermore, we identified four functional Mafa-B loci (B2, B3, B5, and B6) and showed that alleles of the Mafa-I*01, -B*056, -B*034, and -B*001 functional lineages, respectively, are highly frequent in the Vietnamese cynomolgus macaque population. CONCLUSION The insights into the MHC and KIR haplotype organizations and the level of diversity may refine the selection of animals with specific genetic markers for future medical research.
Collapse
Affiliation(s)
- Qingxiu Hu
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Xiaoqi Huang
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Yabin Jin
- grid.12981.330000 0001 2360 039XThe First People’s Hospital of Foshan, Sun Yat-sen University, Foshan, 528000 China
| | - Rui Zhang
- grid.21155.320000 0001 2034 1839BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555 China
| | - Aimin Zhao
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Yiping Wang
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Chenyun Zhou
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Weixin Liu
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Xunwei Liu
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Chunhua Li
- grid.21155.320000 0001 2034 1839BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555 China
| | - Guangyi Fan
- grid.21155.320000 0001 2034 1839BGI-Qingdao, BGI-Shenzhen, Qingdao, 266555 China
| | - Min Zhuo
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Xiaoning Wang
- grid.414252.40000 0004 1761 8894National Clinic Center of Geriatric, The Chinese PLA General Hospital, Beijing, 100853 China
| | - Fei Ling
- grid.79703.3a0000 0004 1764 3838Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006 China
| | - Wei Luo
- grid.12981.330000 0001 2360 039XThe First People’s Hospital of Foshan, Sun Yat-sen University, Foshan, 528000 China
| |
Collapse
|
14
|
Jaiswal S, Nyquist SK, Boyce S, Jivanjee T, Ibrahim S, Bromley JD, Gatter GJ, Gideon H, Patel K, Ganchua SK, Berger B, Fortune SM, Flynn JL, Shalek AK, Behar SM. Identification and characterization of the T cell receptor (TCR) repertoire of the cynomolgus macaque (Macaca Fascicularis). BMC Genomics 2022; 23:647. [PMID: 36096729 PMCID: PMC9465142 DOI: 10.1186/s12864-022-08867-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 09/01/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Cynomolgus macaque (Macaca fascicularis) is an attractive animal model for the study of human disease and is extensively used in biomedical research. Cynomolgus macaques share behavioral, physiological, and genomic traits with humans and recapitulate human disease manifestations not observed in other animal species. To improve the use of the cynomolgus macaque model to investigate immune responses, we defined and characterized the T cell receptor (TCR) repertoire. RESULT We identified and analyzed the alpha (TRA), beta (TRB), gamma (TRG), and delta (TRD) TCR loci of the cynomolgus macaque. The expressed repertoire was determined using 22 unique lung samples from Mycobacterium tuberculosis infected cynomolgus macaques by single cell RNA sequencing. Expressed TCR alpha (TRAV) and beta (TRBV) variable region genes were enriched and identified using gene specific primers, which allowed their functional status to be determined. Analysis of the primers used for cynomolgus macaque TCR variable region gene enrichment showed they could also be used to amplify rhesus macaque (M. mulatta) variable region genes. CONCLUSION The genomic organization of the cynomolgus macaque has great similarity with the rhesus macaque and they shared > 90% sequence similarity with the human TCR repertoire. The identification of the TCR repertoire facilitates analysis of T cell immunity in cynomolgus macaques.
Collapse
Affiliation(s)
- Swati Jaiswal
- Department of Microbiology and Physiological Systems, Universityof Massachusetts Chan Medical School, Worcester, MA USA
| | - Sarah K. Nyquist
- grid.116068.80000 0001 2341 2786Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.116068.80000 0001 2341 2786Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.116068.80000 0001 2341 2786Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.116068.80000 0001 2341 2786Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Shayla Boyce
- Department of Microbiology and Physiological Systems, Universityof Massachusetts Chan Medical School, Worcester, MA USA
| | - Tasneem Jivanjee
- grid.116068.80000 0001 2341 2786Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Samira Ibrahim
- grid.116068.80000 0001 2341 2786Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Joshua D. Bromley
- grid.116068.80000 0001 2341 2786Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.116068.80000 0001 2341 2786Microbiology Graduate Program, Massachusetts Institute of Technology, Cambridge, MA USA
| | - G. James Gatter
- grid.116068.80000 0001 2341 2786Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Hannah Gideon
- grid.21925.3d0000 0004 1936 9000Department of Microbiology and Molecular Genetics and Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Kush Patel
- grid.21925.3d0000 0004 1936 9000Department of Microbiology and Molecular Genetics and Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Sharie Keanne Ganchua
- grid.21925.3d0000 0004 1936 9000Department of Microbiology and Molecular Genetics and Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Bonnie Berger
- grid.116068.80000 0001 2341 2786Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.116068.80000 0001 2341 2786Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Sarah M. Fortune
- grid.38142.3c000000041936754XDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT and Harvard, Boston, MA USA
| | - JoAnne L. Flynn
- grid.21925.3d0000 0004 1936 9000Department of Microbiology and Molecular Genetics and Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Alex K. Shalek
- grid.116068.80000 0001 2341 2786Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.38142.3c000000041936754XDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA USA ,grid.461656.60000 0004 0489 3491Ragon Institute of MGH, MIT and Harvard, Boston, MA USA ,grid.116068.80000 0001 2341 2786Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA USA
| | - Samuel M. Behar
- Department of Microbiology and Physiological Systems, Universityof Massachusetts Chan Medical School, Worcester, MA USA
| |
Collapse
|