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Cole SA, Lyke MM, Christensen C, Newman D, Bagwell A, Galindo S, Glenn J, Layne-Colon DG, Sayers K, Tardif S, Cox LA, Ross C, Cheeseman IH. Genetic characterization of a captive marmoset (Callithrix jacchus) colony using genotype-by-sequencing. Am J Primatol 2024:e23630. [PMID: 38655843 DOI: 10.1002/ajp.23630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 03/27/2024] [Accepted: 04/14/2024] [Indexed: 04/26/2024]
Abstract
The marmoset is a fundamental nonhuman primate model for the study of aging, neurobiology, and many other topics. Genetic management of captive marmoset colonies is complicated by frequent chimerism in the blood and other tissues, a lack of tools to enable cost-effective, genome-wide interrogation of variation, and historic mergers and migrations of animals between colonies. We implemented genotype-by-sequencing (GBS) of hair follicle derived DNA (a minimally chimeric DNA source) of 82 marmosets housed at the Southwest National Primate Research Center (SNPRC). Our primary goals were the genetic characterization of our marmoset population for pedigree verification and colony management and to inform the scientific community of the functional genetic makeup of this valuable resource. We used the GBS data to reconstruct the genetic legacy of recent mergers between colonies, to identify genetically related animals whose relationships were previously unknown due to incomplete pedigree information, and to show that animals in the SNPRC colony appear to exhibit low levels of inbreeding. Of the >99,000 single-nucleotide variants (SNVs) that we characterized, >9800 are located within gene regions known to harbor pathogenic variants of clinical significance in humans. Overall, we show the combination of low-resolution (sparse) genotyping using hair follicle DNA is a powerful strategy for the genetic management of captive marmoset colonies and for identifying potential SNVs for the development of biomedical research models.
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Affiliation(s)
- Shelley A Cole
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Martha M Lyke
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Clinton Christensen
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Deborah Newman
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Alec Bagwell
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Samuel Galindo
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Jeremy Glenn
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Donna G Layne-Colon
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Ken Sayers
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Suzette Tardif
- Southwest National Primate Research Center, San Antonio, Texas, USA
| | - Laura A Cox
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Corinna Ross
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Ian H Cheeseman
- Southwest National Primate Research Center, San Antonio, Texas, USA
- Texas Biomedical Research Institute, San Antonio, Texas, USA
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2
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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.
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3
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Ding W, Li X, Zhang J, Ji M, Zhang M, Zhong X, Cao Y, Liu X, Li C, Xiao C, Wang J, Li T, Yu Q, Mo F, Zhang B, Qi J, Yang JC, Qi J, Tian L, Xu X, Peng Q, Zhou WZ, Liu Z, Fu A, Zhang X, Zhang JJ, Sun Y, Hu B, An NA, Zhang L, Li CY. Adaptive functions of structural variants in human brain development. SCIENCE ADVANCES 2024; 10:eadl4600. [PMID: 38579006 DOI: 10.1126/sciadv.adl4600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/01/2024] [Indexed: 04/07/2024]
Abstract
Quantifying the structural variants (SVs) in nonhuman primates could provide a niche to clarify the genetic backgrounds underlying human-specific traits, but such resource is largely lacking. Here, we report an accurate SV map in a population of 562 rhesus macaques, verified by in-house benchmarks of eight macaque genomes with long-read sequencing and another one with genome assembly. This map indicates stronger selective constrains on inversions at regulatory regions, suggesting a strategy for prioritizing them with the most important functions. Accordingly, we identified 75 human-specific inversions and prioritized them. The top-ranked inversions have substantially shaped the human transcriptome, through their dual effects of reconfiguring the ancestral genomic architecture and introducing regional mutation hotspots at the inverted regions. As a proof of concept, we linked APCDD1, located on one of these inversions and down-regulated specifically in humans, to neuronal maturation and cognitive ability. We thus highlight inversions in shaping the human uniqueness in brain development.
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Affiliation(s)
- Wanqiu Ding
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Xiangshang Li
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jie Zhang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Mingjun Ji
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Mengling Zhang
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Xiaoming Zhong
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- Center of Excellence for Leukemia Studies, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
| | - Xiaoge Liu
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Chunqiong Li
- Chinese Institute for Brain Research, Beijing, China
| | - Chunfu Xiao
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jiaxin Wang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Ting Li
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Qing Yu
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Fan Mo
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Boya Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jianhuan Qi
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jie-Chun Yang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Juntian Qi
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Lu Tian
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Xinwei Xu
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Qi Peng
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Wei-Zhen Zhou
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhijin Liu
- College of Life Sciences, Capital Normal University, Beijing, China
| | - Aisi Fu
- Wuhan Dgensee Clinical Laboratory, Wuhan, China
| | - Xiuqin Zhang
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jian-Jun Zhang
- Shanxi Key Laboratory of Chinese Medicine Encephalopathy, National International Joint Research Center for Molecular Chinese Medicine, Shanxi University of Chinese Medicine, Jinzhong, China
| | - Yujie Sun
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Baoyang Hu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Ni A An
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, China
| | - Li Zhang
- Chinese Institute for Brain Research, Beijing, China
| | - Chuan-Yun Li
- State Key Laboratory of Protein and Plant Gene Research, Laboratory of Bioinformatics and Genomic Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, China
- Southwest United Graduate School, Kunming 650092, China
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4
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Versoza CJ, Weiss S, Johal R, La Rosa B, Jensen JD, Pfeifer SP. Novel Insights into the Landscape of Crossover and Noncrossover Events in Rhesus Macaques (Macaca mulatta). Genome Biol Evol 2024; 16:evad223. [PMID: 38051960 PMCID: PMC10773715 DOI: 10.1093/gbe/evad223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/04/2023] [Accepted: 11/28/2023] [Indexed: 12/07/2023] Open
Abstract
Meiotic recombination landscapes differ greatly between distantly and closely related taxa, populations, individuals, sexes, and even within genomes; however, the factors driving this variation are yet to be well elucidated. Here, we directly estimate contemporary crossover rates and, for the first time, noncrossover rates in rhesus macaques (Macaca mulatta) from four three-generation pedigrees comprising 32 individuals. We further compare these results with historical, demography-aware, linkage disequilibrium-based recombination rate estimates. From paternal meioses in the pedigrees, 165 crossover events with a median resolution of 22.3 kb were observed, corresponding to a male autosomal map length of 2,357 cM-approximately 15% longer than an existing linkage map based on human microsatellite loci. In addition, 85 noncrossover events with a mean tract length of 155 bp were identified-similar to the tract lengths observed in the only other two primates in which noncrossovers have been studied to date, humans and baboons. Consistent with observations in other placental mammals with PRDM9-directed recombination, crossover (and to a lesser extent noncrossover) events in rhesus macaques clustered in intergenic regions and toward the chromosomal ends in males-a pattern in broad agreement with the historical, sex-averaged recombination rate estimates-and evidence of GC-biased gene conversion was observed at noncrossover sites.
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Affiliation(s)
- Cyril J Versoza
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Sarah Weiss
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Ravneet Johal
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Bruno La Rosa
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Jeffrey D Jensen
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Susanne P Pfeifer
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
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5
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Wu R, Qi J, Li W, Wang L, Shen Y, Liu J, Teng Y, Roos C, Li M. Landscape genomics analysis provides insights into future climate change-driven risk in rhesus macaque. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 899:165746. [PMID: 37495138 DOI: 10.1016/j.scitotenv.2023.165746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/01/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023]
Abstract
Climate change significantly affects the suitability of wildlife habitats. Thus, understanding how animals adapt ecologically and genetically to climate change is important for targeted species protection. Rhesus macaques (Macaca mulatta) are widely distributed and multi-climatically adapted primates. This study explored how rhesus macaques adapt to climate change by integrating ecological and genetic methods and applying species distribution models (SDMs) and a gradient forest (GF) model. The findings suggested that temperature seasonality primarily affects habitat suitability and indicated that climate change will have a dramatic impact on macaque populations in the future. We also applied genotype-environment association (GEA) analyses and selection signature analyses to identify genes associated with climate change and provide possible explanations for the adaptation of rhesus macaques to climatic environments. The population genomics analyses suggested that the Taihang population has the highest genomic vulnerability with inbreeding and low heterozygosity. Combined with the higher ecological vulnerability, additional conservation strategies are required for this population under higher risk of climate change. Our work measured the impact of climate change and enabled the identification of populations that exhibit high vulnerability to severe climate change. Such information is useful for selecting populations of rhesus macaques as subject of long-term monitoring or evolutionary rescue under future climate change.
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Affiliation(s)
- Ruifeng Wu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiwei Qi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenbo Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ling Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Shen
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiawen Liu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Teng
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
| | - Ming Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.
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6
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Tan X, Qi J, Liu Z, Fan P, Liu G, Zhang L, Shen Y, Li J, Roos C, Zhou X, Li M. Phylogenomics Reveals High Levels of Incomplete Lineage Sorting at the Ancestral Nodes of the Macaque Radiation. Mol Biol Evol 2023; 40:msad229. [PMID: 37823401 PMCID: PMC10638670 DOI: 10.1093/molbev/msad229] [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: 05/23/2023] [Revised: 09/06/2023] [Accepted: 10/08/2023] [Indexed: 10/13/2023] Open
Abstract
The genus Macaca includes 23 species assigned into 4 to 7 groups. It exhibits the largest geographic range and represents the most successful example of adaptive radiation of nonhuman primates. However, intrageneric phylogenetic relationships among species remain controversial and have not been resolved so far. In this study, we conducted a phylogenomic analysis on 16 newly generated and 8 published macaque genomes. We found strong evidence supporting the division of this genus into 7 species groups. Incomplete lineage sorting (ILS) was the primary factor contributing to the discordance observed among gene trees; however, we also found evidence of hybridization events, specifically between the ancestral arctoides/sinica and silenus/nigra lineages that resulted in the hybrid formation of the fascicularis/mulatta group. Combined with fossil data, our phylogenomic data were used to establish a scenario for macaque radiation. These findings provide insights into ILS and potential ancient introgression events that were involved in the radiation of macaques, which will lead to a better understanding of the rapid speciation occurring in nonhuman primates.
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Affiliation(s)
- Xinxin Tan
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Geneplus-Beijing Institute, Beijing 102206, China
| | - Jiwei Qi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhijin Liu
- College of Life Sciences, Capital Normal University, Beijing 100049, China
| | - Pengfei Fan
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Gaoming Liu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Liye Zhang
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen 37077, Germany
| | - Ying Shen
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jing Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen 37077, Germany
- Gene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, Göttingen 37077, Germany
| | - Xuming Zhou
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ming Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
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7
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Watowich MM, Chiou KL, Graves B, tague MJM, Brent LJ, Higham JP, Horvath JE, Lu A, Martinez MI, Platt ML, Schneider-Crease IA, Lea AJ, Snyder-Mackler N. Best practices for genotype imputation from low-coverage sequencing data in natural populations. Mol Ecol Resour 2023:10.1111/1755-0998.13854. [PMID: 37602981 PMCID: PMC10879460 DOI: 10.1111/1755-0998.13854] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/01/2023] [Accepted: 07/31/2023] [Indexed: 08/22/2023]
Abstract
Monitoring genetic diversity in wild populations is a central goal of ecological and evolutionary genetics and is critical for conservation biology. However, genetic studies of nonmodel organisms generally lack access to species-specific genotyping methods (e.g. array-based genotyping) and must instead use sequencing-based approaches. Although costs are decreasing, high-coverage whole-genome sequencing (WGS), which produces the highest confidence genotypes, remains expensive. More economical reduced representation sequencing approaches fail to capture much of the genome, which can hinder downstream inference. Low-coverage WGS combined with imputation using a high-confidence reference panel is a cost-effective alternative, but the accuracy of genotyping using low-coverage WGS and imputation in nonmodel populations is still largely uncharacterized. Here, we empirically tested the accuracy of low-coverage sequencing (0.1-10×) and imputation in two natural populations, one with a large (n = 741) reference panel, rhesus macaques (Macaca mulatta), and one with a smaller (n = 68) reference panel, gelada monkeys (Theropithecus gelada). Using samples sequenced to coverage as low as 0.5×, we could impute genotypes at >95% of the sites in the reference panel with high accuracy (median r2 ≥ 0.92). We show that low-coverage imputed genotypes can reliably calculate genetic relatedness and population structure. Based on these data, we also provide best practices and recommendations for researchers who wish to deploy this approach in other populations, with all code available on GitHub (https://github.com/mwatowich/LoCSI-for-non-model-species). Our results endorse accurate and effective genotype imputation from low-coverage sequencing, enabling the cost-effective generation of population-scale genetic datasets necessary for tackling many pressing challenges of wildlife conservation.
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Affiliation(s)
- Marina M. Watowich
- Department of Biology, University of Washington; Seattle, WA, 98195 USA
- Department of Biological Sciences, Vanderbilt University; Nashville, TN, 37235
| | - Kenneth L. Chiou
- Center for Evolution and Medicine, Arizona State University; Tempe, AZ, 85281 USA
- School of Life Sciences, Arizona State University; Tempe, AZ, 85281 USA
| | - Brian Graves
- Program in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana-Champaign; Urbana, IL 61801
| | - Michael J. Mon tague
- Department of Neuroscience, Perelman School of Medicine; University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lauren J.N. Brent
- Centre for Research in Animal Behaviour, University of Exeter; Exeter EX4 4QG, UK
| | - James P. Higham
- Department of Anthropology, New York University; New York, NY 10003, USA
- New York Consortium in Evolutionary Primatology; New York, NY, 10016 USA
| | - Julie E. Horvath
- Department of Biological and Biomedical Sciences, North Carolina Central University; Durham, NC 27707, USA
- Research and Collections Section, North Carolina Museum of Natural Sciences; Raleigh, NC 27601, USA
- Department of Biological Sciences, North Carolina State University; Raleigh, NC 27695, USA
- Department of Evolutionary Anthropology, Duke University; Durham, NC 27708, USA
| | - Amy Lu
- Department of Anthropology, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Melween I. Martinez
- Caribbean Primate Research Center, Unit of Comparative Medicine, University of Puerto Rico; San Juan, PR 00936, USA
| | - Michael L. Platt
- Department of Neuroscience, Perelman School of Medicine; University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychology, School of Arts and Sciences; University of Pennsylvania, Philadelphia, PA 19104, USA
- Marketing Department, Wharton School of Business; University of Pennsylvania, Philadelphia, PA 19104, USA
| | - India A. Schneider-Crease
- Center for Evolution and Medicine, Arizona State University; Tempe, AZ, 85281 USA
- School of Life Sciences, Arizona State University; Tempe, AZ, 85281 USA
- School of Human Evolution and Social Change, Arizona State University; Tempe, AZ, 85281 USA
| | - Amanda J. Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, 37235, USA
- Child and Brain Development, Canadian Institute for Advanced Research, Toronto, Canada
| | - Noah Snyder-Mackler
- Center for Evolution and Medicine, Arizona State University; Tempe, AZ, 85281 USA
- School of Life Sciences, Arizona State University; Tempe, AZ, 85281 USA
- School of Human Evolution and Social Change, Arizona State University; Tempe, AZ, 85281 USA
- Neurodegenerative Disease Research Center, Arizona State University; Tempe, AZ, 85281 USA
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8
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Clive J, Flintham E, Savolainen V. Same-sex sociosexual behaviour is widespread and heritable in male rhesus macaques. Nat Ecol Evol 2023; 7:1287-1301. [PMID: 37429903 DOI: 10.1038/s41559-023-02111-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/01/2023] [Indexed: 07/12/2023]
Abstract
Numerous reports have documented the occurrence of same-sex sociosexual behaviour (SSB) across animal species. However, the distribution of the behaviour within a species needs to be studied to test hypotheses describing its evolution and maintenance, in particular whether the behaviour is heritable and can therefore evolve by natural selection. Here we collected detailed observations across 3 yr of social and mounting behaviour of 236 male semi-wild rhesus macaques, which we combined with a pedigree dating back to 1938, to show that SSB is both repeatable (19.35%) and heritable (6.4%). Demographic factors (age and group structure) explained SSB variation only marginally. Furthermore, we found a positive genetic correlation between same-sex mounter and mountee activities, indicating a common basis to different forms of SSB. Finally, we found no evidence of fitness costs to SSB, but show instead that the behaviour mediated coalitionary partnerships that have been linked to improved reproductive success. Together, our results demonstrate that SSB is frequent in rhesus macaques, can evolve, and is not costly, indicating that SSB may be a common feature of primate reproductive ecology.
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Affiliation(s)
- Jackson Clive
- Georgina Mace Centre for the Living Planet, Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, UK
| | - Ewan Flintham
- Georgina Mace Centre for the Living Planet, Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, UK
| | - Vincent Savolainen
- Georgina Mace Centre for the Living Planet, Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, UK.
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9
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Kuderna LFK, Gao H, Janiak MC, Kuhlwilm M, Orkin JD, Bataillon T, Manu S, Valenzuela A, Bergman J, Rousselle M, Silva FE, Agueda L, Blanc J, Gut M, de Vries D, Goodhead I, Harris RA, Raveendran M, Jensen A, Chuma IS, Horvath JE, Hvilsom C, Juan D, Frandsen P, Schraiber JG, de Melo FR, Bertuol F, Byrne H, Sampaio I, Farias I, Valsecchi J, Messias M, da Silva MNF, Trivedi M, Rossi R, Hrbek T, Andriaholinirina N, Rabarivola CJ, Zaramody A, Jolly CJ, Phillips-Conroy J, Wilkerson G, Abee C, Simmons JH, Fernandez-Duque E, Kanthaswamy S, Shiferaw F, Wu D, Zhou L, Shao Y, Zhang G, Keyyu JD, Knauf S, Le MD, Lizano E, Merker S, Navarro A, Nadler T, Khor CC, Lee J, Tan P, Lim WK, Kitchener AC, Zinner D, Gut I, Melin AD, Guschanski K, Schierup MH, Beck RMD, Umapathy G, Roos C, Boubli JP, Rogers J, Farh KKH, Marques Bonet T. A global catalog of whole-genome diversity from 233 primate species. Science 2023; 380:906-913. [PMID: 37262161 DOI: 10.1126/science.abn7829] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 02/06/2023] [Indexed: 06/03/2023]
Abstract
The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage whole-genome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research.
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Affiliation(s)
- Lukas F K Kuderna
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | - Hong Gao
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | - Mareike C Janiak
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Martin Kuhlwilm
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Department of Evolutionary Anthropology, University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Austria
| | - Joseph D Orkin
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Département d'anthropologie, Université de Montréal, 3150 Jean-Brillant, Montréal, QC H3T 1N8, Canada
| | - Thomas Bataillon
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Shivakumara Manu
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Alejandro Valenzuela
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
| | - Juraj Bergman
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark
| | | | - Felipe Ennes Silva
- Research Group on Primate Biology and Conservation, Mamirauá Institute for Sustainable Development, Estrada da Bexiga 2584, CEP 69553-225, Tefé, Amazonas, Brazil
- Evolutionary Biology and Ecology (EBE), Département de Biologie des Organismes, Université libre de Bruxelles (ULB), Av. Franklin D. Roosevelt 50, CP 160/12, B-1050 Brussels Belgium
| | - Lidia Agueda
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Julie Blanc
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Marta Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Dorien de Vries
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Ian Goodhead
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - R Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Axel Jensen
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, SE-75236 Uppsala, Sweden
| | | | - Julie E Horvath
- North Carolina Museum of Natural Sciences, Raleigh, NC 27601, USA
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC 27707, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - David Juan
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
| | | | - Joshua G Schraiber
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | | | - Fabrício Bertuol
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas 69080-900, Brazil
| | - Hazel Byrne
- Department of Anthropology, University of Utah, Salt Lake City. UT 84102, USA
| | | | - Izeni Farias
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas 69080-900, Brazil
| | - João Valsecchi
- Research Group on Terrestrial Vertebrate Ecology, Mamirauá Institute for Sustainable Development, Tefé, Amazonas, Brazil
- Rede de Pesquisa para Estudos sobre Diversidade, Conservação e Uso da Fauna na Amazônia - RedeFauna, Manaus, Amazonas, Brazil
- Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica - ComFauna, Iquitos, Loreto, Peru
| | - Malu Messias
- Universidade Federal de Rondônia, Porto Velho, Rondônia, Brazil
| | | | - Mihir Trivedi
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Rogerio Rossi
- Instituto de Biociências, Universidade Federal do Mato Grosso, Cuiabá, MT, Brazil
| | - Tomas Hrbek
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas 69080-900, Brazil
- Department of Biology, Trinity University, San Antonio, TX 78212, USA
| | - Nicole Andriaholinirina
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Clément J Rabarivola
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Alphonse Zaramody
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Clifford J Jolly
- Department of Anthropology, New York University, New York, NY 10003, USA
| | - Jane Phillips-Conroy
- Department of Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Gregory Wilkerson
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop TX 78602, USA
| | - Christian Abee
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop TX 78602, USA
| | - Joe H Simmons
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop TX 78602, USA
| | | | - Sree Kanthaswamy
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ 85004, USA
| | - Fekadu Shiferaw
- Guinea Worm Eradication Program, The Carter Center Ethiopia, Addis Ababa, Ethiopia
| | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Long Zhou
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Guojie Zhang
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou 310058, China
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China
- Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Shangcheng District, Hangzhou 310006, China
| | - Julius D Keyyu
- Tanzania Wildlife Research Institute (TAWIRI), Head Office, P.O. Box 661, Arusha, Tanzania
| | - Sascha Knauf
- Institute of International Animal Health/One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, 17493 Greifswald-Insel Riems, Germany
| | - Minh D Le
- Department of Environmental Ecology, Faculty of Environmental Sciences, University of Science and Central Institute for Natural Resources and Environmental Studies, Vietnam National University, Hanoi, Vietnam
| | - Esther Lizano
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Stefan Merker
- Department of Zoology, State Museum of Natural History Stuttgart, Stuttgart, Germany
| | - Arcadi Navarro
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra. Pg. Luís Companys 23, 08010 Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Av. Doctor Aiguader, N88, 08003 Barcelona, Spain
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, C. Wellington 30, 08005 Barcelona, Spain
| | - Tilo Nadler
- Cuc Phuong Commune, Nho Quan District, Ninh Binh Province, Vietnam
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Jessica Lee
- Mandai Nature, 80 Mandai Lake Road, Singapore
| | - Patrick Tan
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Chambers Street, Edinburgh EH1 1JF, UK, and School of Geosciences, Drummond Street, Edinburgh EH8 9XP, UK
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-Universität Göttingen, 37077 Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, 37077 Göttingen, Germany
| | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Amanda D Melin
- Department of Anthropology and Archaeology, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada
- Department of Medical Genetics, University of Calgary, 3330 Hospital Drive NW, HMRB 202, Calgary, AB T2N 4N1, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, 3330 Hospital Drive NW, HMRB 202, Calgary, AB T2N 4N1, Canada
| | - Katerina Guschanski
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, SE-75236 Uppsala, Sweden
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Robin M D Beck
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Govindhaswamy Umapathy
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
| | - Jean P Boubli
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | - Tomas Marques Bonet
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra. Pg. Luís Companys 23, 08010 Barcelona, Spain
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10
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Cooper EB, Brent LJN, Snyder-Mackler N, Singh M, Sengupta A, Khatiwada S, Malaivijitnond S, Qi Hai Z, Higham JP. The natural history of model organisms: the rhesus macaque as a success story of the Anthropocene. eLife 2022; 11:78169. [PMID: 35801697 PMCID: PMC9345599 DOI: 10.7554/elife.78169] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022] Open
Abstract
Of all the non-human primate species studied by researchers, the rhesus macaque (Macaca mulatta) is likely the most widely used across biological disciplines. Rhesus macaques have thrived during the Anthropocene and now have the largest natural range of any non-human primate. They are highly social, exhibit marked genetic diversity, and display remarkable niche flexibility (which allows them to live in a range of habitats and survive on a variety of diets). These characteristics mean that rhesus macaques are well-suited for understanding the links between sociality, health and fitness, and also for investigating intra-specific variation, adaptation and other topics in evolutionary ecology.
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Affiliation(s)
- Eve B Cooper
- Department of Anthropology, New York University, New York, United States
| | | | | | - Mewa Singh
- Biopsychology Laboratory, University of Mysore, Mysuru, India
| | | | - Sunil Khatiwada
- Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Garbatka, Poland
| | | | - Zhou Qi Hai
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection, Guangxi Normal University, Guilin, China
| | - James P Higham
- Department of Anthropology, New York University, New York, United States
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11
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Stevison LS, Bailey NP, Szpiech ZA, Novak TE, Melnick DJ, Evans BJ, Wall JD. Evolution of genes involved in the unusual genitals of the bear macaque, Macaca arctoides. Ecol Evol 2022; 12:e8897. [PMID: 35646310 PMCID: PMC9130562 DOI: 10.1002/ece3.8897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022] Open
Abstract
Genital divergence is thought to contribute to reproductive barriers by establishing a “lock‐and‐key" mechanism for reproductive compatibility. One such example, Macaca arctoides, the bear macaque, has compensatory changes in both male and female genital morphology as compared to close relatives. M. arctoides also has a complex evolutionary history, having extensive introgression between the fascicularis and sinica macaque species groups. Here, phylogenetic relationships were analyzed via whole‐genome sequences from five species, including M. arctoides, and two species each from the putative parental species groups. This analysis revealed ~3x more genomic regions supported placement in the sinica species group as compared to the fascicularis species group. Additionally, introgression analysis of the M. arctoides genome revealed it is a mosaic of recent polymorphisms shared with both species groups. To examine the evolution of their unique genital morphology further, the prevalence of candidate genes involved in genital morphology was compared against genome‐wide outliers in various population genetic metrics of diversity, divergence, introgression, and selection, while accounting for background variation in recombination rate. This analysis identified 67 outlier genes, including several genes that influence baculum morphology in mice, which were of interest since the bear macaque has the longest primate baculum. The mean of four of the seven population genetic metrics was statistically different in the candidate genes as compared to the rest of the genome, suggesting that genes involved in genital morphology have increased divergence and decreased diversity beyond expectations. These results highlight specific genes that may have played a role in shaping the unique genital morphology in the bear macaque.
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Affiliation(s)
- Laurie S Stevison
- Department of Biological Sciences Auburn University Auburn Alabama USA
| | - Nick P Bailey
- Department of Biological Sciences Auburn University Auburn Alabama USA
| | - Zachary A Szpiech
- Department of Biological Sciences Auburn University Auburn Alabama USA.,Department of Biology Pennsylvania State University University Park Pennsylvania USA.,Institute for Computational and Data Sciences Pennsylvania State University University Park Pennsylvania USA
| | - Taylor E Novak
- Department of Biological Sciences Auburn University Auburn Alabama USA
| | - Don J Melnick
- Department of Ecology, Evolution, and Environmental Biology Columbia University New York New York USA
| | - Ben J Evans
- Biology Department McMaster University Hamilton Ontario Canada
| | - Jeffrey D Wall
- Institute for Human Genetics University of California, San Francisco San Francisco California USA
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12
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Arbeithuber B, Cremona MA, Hester J, Barrett A, Higgins B, Anthony K, Chiaromonte F, Diaz FJ, Makova KD. Advanced age increases frequencies of de novo mitochondrial mutations in macaque oocytes and somatic tissues. Proc Natl Acad Sci U S A 2022; 119:e2118740119. [PMID: 35394879 PMCID: PMC9169796 DOI: 10.1073/pnas.2118740119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 02/25/2022] [Indexed: 12/18/2022] Open
Abstract
Mutations in mitochondrial DNA (mtDNA) contribute to multiple diseases. However, how new mtDNA mutations arise and accumulate with age remains understudied because of the high error rates of current sequencing technologies. Duplex sequencing reduces error rates by several orders of magnitude via independently tagging and analyzing each of the two template DNA strands. Here, using duplex sequencing, we obtained high-quality mtDNA sequences for somatic tissues (liver and skeletal muscle) and single oocytes of 30 unrelated rhesus macaques, from 1 to 23 y of age. Sequencing single oocytes minimized effects of natural selection on germline mutations. In total, we identified 17,637 tissue-specific de novo mutations. Their frequency increased ∼3.5-fold in liver and ∼2.8-fold in muscle over the ∼20 y assessed. Mutation frequency in oocytes increased ∼2.5-fold until the age of 9 y, but did not increase after that, suggesting that oocytes of older animals maintain the quality of their mtDNA. We found the light-strand origin of replication (OriL) to be a hotspot for mutation accumulation with aging in liver. Indeed, the 33-nucleotide-long OriL harbored 12 variant hotspots, 10 of which likely disrupt its hairpin structure and affect replication efficiency. Moreover, in somatic tissues, protein-coding variants were subject to positive selection (potentially mitigating toxic effects of mitochondrial activity), the strength of which increased with the number of macaques harboring variants. Our work illuminates the origins and accumulation of somatic and germline mtDNA mutations with aging in primates and has implications for delayed reproduction in modern human societies.
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Affiliation(s)
- Barbara Arbeithuber
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Experimental Gynaecology, Obstetrics and Gynaecological Endocrinology, Kepler University Hospital Linz, Johannes Kepler University Linz, 4020 Linz, Austria
| | - Marzia A. Cremona
- Department of Operations and Decision Systems, Université Laval, Québec, QC G1V0A6, Canada
- Population Health and Optimal Health Practices, CHU de Québec - Université Laval Research Center, Québec, QC G1V4G2, Canada
- Center for Medical Genomics, The Pennsylvania State University, University Park, PA 16802
| | - James Hester
- Department of Animal Science, The Pennsylvania State University, University Park, PA 16802
| | - Alison Barrett
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
| | - Bonnie Higgins
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
| | - Kate Anthony
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
| | - Francesca Chiaromonte
- Center for Medical Genomics, The Pennsylvania State University, University Park, PA 16802
- Department of Statistics, The Pennsylvania State University, University Park, PA 16802
- Institute of Economics and EMbeDS, Sant'Anna School of Advanced Studies, Pisa 56127, Italy
| | - Francisco J. Diaz
- Department of Animal Science, The Pennsylvania State University, University Park, PA 16802
| | - Kateryna D. Makova
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Medical Genomics, The Pennsylvania State University, University Park, PA 16802
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13
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Genomic resources for rhesus macaques (Macaca mulatta). Mamm Genome 2022; 33:91-99. [PMID: 34999909 PMCID: PMC8742695 DOI: 10.1007/s00335-021-09922-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/22/2021] [Indexed: 11/10/2022]
Abstract
Rhesus macaques (Macaca mulatta) are among the most extensively studied of nonhuman primates. This species has been the subject of many investigations concerning basic primate biology and behavior, including studies of social organization, developmental psychology, physiology, endocrinology, and neurodevelopment. Rhesus macaques are also critically important as a nonhuman primate model of human health and disease, including use in studies of infectious diseases, metabolic diseases, aging, and drug or alcohol abuse. Current research addressing fundamental biological and/or applied biomedical questions benefits from various genetic and genomic analyses. As a result, the genome of rhesus macaques has been the subject of more study than most nonhuman primates. This paper briefly discusses a number of information resources that can provide interested researchers with access to genetic and genomic data describing the content of the rhesus macaque genome, available information regarding genetic variation within the species, results from studies of gene expression, and other aspects of genomic analysis. Specific online databases are discussed, including the US National Center for Biotechnology Information, the University of California Santa Cruz genome browser, Ensembl genome browser, the Macaque Genotype and Phenotype database (mGAP), Rhesusbase, and others.
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14
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Shano S, Islam A, Hagan E, Rostal MK, Martinez S, Al Shakil A, Hasan M, Francisco L, Husain MM, Rahman M, Flora MS, Miller M, Daszak P, Epstein JH. Environmental Change and Zoonotic Disease Risk at Human-Macaque Interfaces in Bangladesh. ECOHEALTH 2021; 18:487-499. [PMID: 34748109 PMCID: PMC8573309 DOI: 10.1007/s10393-021-01565-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 10/08/2021] [Indexed: 05/11/2023]
Abstract
Anthropogenic land-use changes increase the frequency of interactions and habitat overlap between humans and macaques which play an important role in zoonotic disease transmission. This exploratory qualitative study aimed to examine connections between land-use change and macaque-human interactions and assess the chance of zoonotic disease transmission. We conducted ethnographic interviews and focus group discussions in Old Dhaka, Madaripur, and Chandpur, Bangladesh. Participants reported significant anthropogenic landscape transformations leading to increased human-macaque contact in the study areas. Participants also reported that all three sites underwent substantial landscape alteration from natural or agricultural land to a human-altered environment with roads, commercial, and residential buildings. Participants noted that the disappearance of forestland appeared to increase the macaque dependence on backyard fruit trees. Where rivers and ponds were filled to support local construction, macaques were also observed as becoming more dependent upon human water sources. These changed may help expanding the macaques' foraging areas, and they appear to be invading new areas where people are not culturally habituated to living with them. In response, many residents reported reacting aggressively toward the macaques, which they believed led to more bites and scratches. However, other respondents accepted the presence of macaques around their homes. Few participants considered macaques to be a source of disease transmission. This study revealed that local environmental changes, deforestation, urban expansion, construction, and water bodies' disappearance are linked to increasing human-macaque interactions. Understanding these interactions is critical to develop successful mitigation interventions at interfaces with a high risk for viral disease spillover.
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Affiliation(s)
- Shahanaj Shano
- Institute of Epidemiology, Disease Control and Research (IEDCR), Mohakhali, Dhaka-1212, Dhaka, Bangladesh
- EcoHealth Alliance, New York, NY, 10001, USA
| | | | - Emily Hagan
- EcoHealth Alliance, New York, NY, 10001, USA
| | | | | | - Abdullah Al Shakil
- Institute of Epidemiology, Disease Control and Research (IEDCR), Mohakhali, Dhaka-1212, Dhaka, Bangladesh
- EcoHealth Alliance, New York, NY, 10001, USA
| | - Moushumi Hasan
- Institute of Epidemiology, Disease Control and Research (IEDCR), Mohakhali, Dhaka-1212, Dhaka, Bangladesh
- EcoHealth Alliance, New York, NY, 10001, USA
| | - Leilani Francisco
- EcoHealth Alliance, New York, NY, 10001, USA
- Henry M. Jackson Foundation, Bethesda, MD, 20817, USA
| | - Mushtuq M Husain
- Institute of Epidemiology, Disease Control and Research (IEDCR), Mohakhali, Dhaka-1212, Dhaka, Bangladesh
| | - Mahmudur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR), Mohakhali, Dhaka-1212, Dhaka, Bangladesh
| | - Meerjady S Flora
- Institute of Epidemiology, Disease Control and Research (IEDCR), Mohakhali, Dhaka-1212, Dhaka, Bangladesh
| | - Maureen Miller
- EcoHealth Alliance, New York, NY, 10001, USA
- Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
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15
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Jackson EK, Bellott DW, Skaletsky H, Page DC. GC-biased gene conversion in X-chromosome palindromes conserved in human, chimpanzee, and rhesus macaque. G3 GENES|GENOMES|GENETICS 2021; 11:6317831. [PMID: 34849781 PMCID: PMC8981503 DOI: 10.1093/g3journal/jkab224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 06/28/2021] [Indexed: 12/03/2022]
Abstract
Gene conversion is GC-biased across a wide range of taxa. Large palindromes on mammalian
sex chromosomes undergo frequent gene conversion that maintains arm-to-arm sequence
identity greater than 99%, which may increase their susceptibility to the effects of
GC-biased gene conversion. Here, we demonstrate a striking history of GC-biased gene
conversion in 12 palindromes conserved on the X chromosomes of human, chimpanzee, and
rhesus macaque. Primate X-chromosome palindrome arms have significantly higher GC content
than flanking single-copy sequences. Nucleotide replacements that occurred in human and
chimpanzee palindrome arms over the past 7 million years are one-and-a-half times as
GC-rich as the ancestral bases they replaced. Using simulations, we show that our observed
pattern of nucleotide replacements is consistent with GC-biased gene conversion with a
magnitude of 70%, similar to previously reported values based on analyses of human
meioses. However, GC-biased gene conversion since the divergence of human and rhesus
macaque explains only a fraction of the observed difference in GC content between
palindrome arms and flanking sequence, suggesting that palindromes are older than 29
million years and/or had elevated GC content at the time of their formation. This work
supports a greater than 2:1 preference for GC bases over AT bases during gene conversion
and demonstrates that the evolution and composition of mammalian sex chromosome
palindromes is strongly influenced by GC-biased gene conversion.
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Affiliation(s)
- Emily K Jackson
- Whitehead Institute, Cambridge, MA 02142, USA
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | | | - Helen Skaletsky
- Whitehead Institute, Cambridge, MA 02142, USA
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA
| | - David C Page
- Whitehead Institute, Cambridge, MA 02142, USA
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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16
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Divergence and introgression in small apes, the genus Hylobates, revealed by reduced representation sequencing. Heredity (Edinb) 2021; 127:312-322. [PMID: 34188193 PMCID: PMC8405704 DOI: 10.1038/s41437-021-00452-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/15/2021] [Accepted: 06/15/2021] [Indexed: 02/06/2023] Open
Abstract
Gibbons of the genus Hylobates, which inhabit Southeast Asia, show great diversity and comprise seven to nine species. Natural hybridisation has been observed in several species contact zones, but the history and extent of hybridisation and introgression in possibly historical and the current contact zones remain unclear. To uncover Hylobates species phylogeny and the extent of introgression in their evolution, genotyping by random amplicon sequencing-direct (GRAS-Di) was applied to 47 gibbons, representing seven Hylobates species/subspecies and two outgroup gibbon species. Over 200,000 autosomal single-nucleotide variant sites were identified. The autosomal phylogeny supported that divergence from the mainland species began ~3.5 million years ago, and subsequently occurred among the Sundaic island species. Significant introgression signals were detected between H. lar and H. pileatus, H. lar and H. agilis and H. albibarbis and H. muelleri, which all are parapatric and form ongoing hybrid zones. Furthermore, the introgression signals were detected in every analysed individual of these species, indicating a relatively long history of hybridisation, which might have affected the entire gene pool. By contrast, signals of introgression were either not detected or doubtful in other species pairs living on different islands, indicating the rarity of hybridisation and introgression, even though the Sundaic islands were connected during the Pliocene and Pleistocene glacial events.
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17
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Bailey NP, Stevison LS. Mitonuclear conflict in a macaque species exhibiting phylogenomic discordance. J Evol Biol 2021; 34:1568-1579. [PMID: 34379829 DOI: 10.1111/jeb.13914] [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: 04/27/2021] [Accepted: 07/28/2021] [Indexed: 12/19/2022]
Abstract
Speciation and hybridization are intertwined processes in the study of evolution. Hybridization between sufficiently diverged populations can result in genomic conflict within offspring, causing reduced viability and fertility, thus increasing divergence between populations. Conflicts between mitochondrial and nuclear genes are increasingly found to play a role in this process in various systems. We examine the possibility of this conflict in the bear macaque, Macaca arctoides (Primates: Cercopithecidae), a primate species exhibiting mitonuclear discordance due to extensive hybridization with species in the sinica and fascicularis groups. Here, divergence, introgression and natural selection of mitonuclear genes (N = 160) relative to nuclear control genes (N = 144) were analysed to determine whether there are evolutionary processes involved in resolving the potential conflict caused by mitonuclear discordance. Nucleotide divergence of mitonuclear genes is increased relative to control nuclear genes between M. arctoides and the species sharing its nuclear ancestry (p = 0.007), consistent with genetic conflict. However, measures of introgression and selection do not identify large-scale co-introgression or co-evolution as means to resolve mitonuclear conflict. Nonetheless, mitochondrial tRNA synthetases stand out in analyses using dN/dS and extended branch lengths as potential targets of selection. The methodology implemented provides a framework that can be used to examine the effects of mitonuclear co-introgression and co-evolution on a genomic scale in a variety of systems.
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Affiliation(s)
- Nick P Bailey
- Department of Biological Sciences, Auburn University, Auburn, AL, USA
| | - Laurie S Stevison
- Department of Biological Sciences, Auburn University, Auburn, AL, USA
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18
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Xu C, Zhang J. Mammalian circular RNAs result largely from splicing errors. Cell Rep 2021; 36:109439. [PMID: 34320353 PMCID: PMC8365531 DOI: 10.1016/j.celrep.2021.109439] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 04/13/2021] [Accepted: 07/02/2021] [Indexed: 12/20/2022] Open
Abstract
Ubiquitous in eukaryotes, circular RNAs (circRNAs) comprise a large class of mostly non-coding RNAs produced by back-splicing. Although some circRNAs have demonstrated biochemical activities, whether most circRNAs are functional is unknown. Here, we test the hypothesis that circRNA production primarily results from splicing error and so is deleterious instead of beneficial. In support of the error hypothesis, our analysis of RNA sequencing data from 11 shared tissues of humans, macaques, and mice finds that (1) back-splicing is much rarer than linear-splicing, (2) the rate of back-splicing diminishes with the splicing amount, (3) the overall prevalence of back-splicing in a species declines with its effective population size, and (4) circRNAs are overall evolutionarily unconserved. We estimate that more than 97% of the observed circRNA production is deleterious. We identify a small number of functional circRNA candidates, and the genome-wide trend strongly suggests that circRNAs are largely non-functional products of splicing errors.
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Affiliation(s)
- Chuan Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jianzhi Zhang
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan 48109, USA.
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19
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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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20
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Song Y, Jiang C, Li KH, Li J, Qiu H, Price M, Fan ZX, Li J. Genome-wide analysis reveals signatures of complex introgressive gene flow in macaques (genus Macaca). Zool Res 2021; 42:433-449. [PMID: 34114757 PMCID: PMC8317189 DOI: 10.24272/j.issn.2095-8137.2021.038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The genus Macaca serves as an ideal research model for speciation and introgressive gene flow due to its short period of diversification (about five million years ago) and rapid radiation of constituent species. To understand evolutionary gene flow in macaques, we sequenced four whole genomes (two M. arctoides and two M. thibetana) and combined them with publicly available macaque genome data for genome-wide analyses. We analyzed 14 individuals from nine Macaca species covering all Asian macaque species groups and detected extensive gene flow signals, with the strongest signals between the fascicularis and silenus species groups. Notably, we detected bidirectional gene flow between M. fascicularis and M. nemestrina. The estimated proportion of the genome inherited via gene flow between the two species was 6.19%. However, the introgression signals found among studied island species, such as Sulawesi macaques and M. fuscata, and other species were largely attributed to the genomic similarity of closely related species or ancestral introgression. Furthermore, gene flow signals varied in individuals of the same species (M. arctoides, M. fascicularis, M. mulatta, M. nemestrina and M. thibetana), suggesting very recent gene flow after the populations split. Pairwise sequentially Markovian coalescence (PSMC) analysis showed all macaques experienced a bottleneck five million years ago, after which different species exhibited different fluctuations in demographic history trajectories, implying they have experienced complicated environmental variation and climate change. These results should help improve our understanding of the complicated evolutionary history of macaques, particularly introgressive gene flow.
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Affiliation(s)
- Yang Song
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Cong Jiang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Kun-Hua Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Jing Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China
| | - Hong Qiu
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Megan Price
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Zhen-Xin Fan
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.,Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Jing Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China.,Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China. E-mail:
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21
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Epigenomic profiling of primate lymphoblastoid cell lines reveals the evolutionary patterns of epigenetic activities in gene regulatory architectures. Nat Commun 2021; 12:3116. [PMID: 34035253 PMCID: PMC8149829 DOI: 10.1038/s41467-021-23397-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 04/21/2021] [Indexed: 02/04/2023] Open
Abstract
Changes in the epigenetic regulation of gene expression have a central role in evolution. Here, we extensively profiled a panel of human, chimpanzee, gorilla, orangutan, and macaque lymphoblastoid cell lines (LCLs), using ChIP-seq for five histone marks, ATAC-seq and RNA-seq, further complemented with whole genome sequencing (WGS) and whole genome bisulfite sequencing (WGBS). We annotated regulatory elements (RE) and integrated chromatin contact maps to define gene regulatory architectures, creating the largest catalog of RE in primates to date. We report that epigenetic conservation and its correlation with sequence conservation in primates depends on the activity state of the regulatory element. Our gene regulatory architectures reveal the coordination of different types of components and highlight the role of promoters and intragenic enhancers (gE) in the regulation of gene expression. We observe that most regulatory changes occur in weakly active gE. Remarkably, novel human-specific gE with weak activities are enriched in human-specific nucleotide changes. These elements appear in genes with signals of positive selection and human acceleration, tissue-specific expression, and particular functional enrichments, suggesting that the regulatory evolution of these genes may have contributed to human adaptation.
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22
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Bergeron LA, Besenbacher S, Bakker J, Zheng J, Li P, Pacheco G, Sinding MHS, Kamilari M, Gilbert MTP, Schierup MH, Zhang G. The germline mutational process in rhesus macaque and its implications for phylogenetic dating. Gigascience 2021; 10:giab029. [PMID: 33954793 PMCID: PMC8099771 DOI: 10.1093/gigascience/giab029] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 01/05/2021] [Accepted: 03/29/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Understanding the rate and pattern of germline mutations is of fundamental importance for understanding evolutionary processes. RESULTS Here we analyzed 19 parent-offspring trios of rhesus macaques (Macaca mulatta) at high sequencing coverage of ∼76× per individual and estimated a mean rate of 0.77 × 10-8de novo mutations per site per generation (95% CI: 0.69 × 10-8 to 0.85 × 10-8). By phasing 50% of the mutations to parental origins, we found that the mutation rate is positively correlated with the paternal age. The paternal lineage contributed a mean of 81% of the de novo mutations, with a trend of an increasing male contribution for older fathers. Approximately 3.5% of de novo mutations were shared between siblings, with no parental bias, suggesting that they arose from early development (postzygotic) stages. Finally, the divergence times between closely related primates calculated on the basis of the yearly mutation rate of rhesus macaque generally reconcile with divergence estimated with molecular clock methods, except for the Cercopithecoidea/Hominoidea molecular divergence dated at 58 Mya using our new estimate of the yearly mutation rate. CONCLUSIONS When compared to the traditional molecular clock methods, new estimated rates from pedigree samples can provide insights into the evolution of well-studied groups such as primates.
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Affiliation(s)
- Lucie A Bergeron
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen Ø, Denmark
| | - Søren Besenbacher
- Department of Molecular Medicine, Aarhus University, Brendstrupgårdsvej 21A, 8200 Aarhus N, Denmark
| | - Jaco Bakker
- Animal Science Department, Biomedical Primate Research Centre, Lange Kleiweg 161, 2288 GJ Rijswijk, Netherlands
| | - Jiao Zheng
- BGI-Shenzhen, Shenzhen 518083, Guangdong, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, Guangdong, China
| | - Panyi Li
- BGI-Shenzhen, Shenzhen 518083, Guangdong, China
| | - George Pacheco
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Oester Voldgade 5-7, 1350 Copenhagen K, Denmark
| | - Mikkel-Holger S Sinding
- Department of genetics, Trinity College Dublin, 2 college green, D02 VF25, Dublin, Ireland
- Greenland Institute of Natural Resources, Kivioq 2, 3900 Nuuk, Greenland
| | - Maria Kamilari
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen Ø, Denmark
| | - M Thomas P Gilbert
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Oester Voldgade 5-7, 1350 Copenhagen K, Denmark
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Mikkel H Schierup
- Bioinformatics Research Centre, Aarhus University, C.F.Møllers Allé 8, 8000, Aarhus C, Denmark
| | - Guojie Zhang
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen Ø, Denmark
- BGI-Shenzhen, Shenzhen 518083, Guangdong, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
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23
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Abstract
Despite its important biological role, the evolution of recombination rates remains relatively poorly characterized. This owes, in part, to the lack of high-quality genomic resources to address this question across diverse species. Humans and our closest evolutionary relatives, anthropoid apes, have remained a major focus of large-scale sequencing efforts, and thus recombination rate variation has been comparatively well studied in this group-with earlier work revealing a conservation at the broad- but not the fine-scale. However, in order to better understand the nature of this variation, and the time scales on which substantial modifications occur, it is necessary to take a broader phylogenetic perspective. I here present the first fine-scale genetic map for vervet monkeys based on whole-genome population genetic data from ten individuals and perform a series of comparative analyses with the great apes. The results reveal a number of striking features. First, owing to strong positive correlations with diversity and weak negative correlations with divergence, analyses suggest a dominant role for purifying and background selection in shaping patterns of variation in this species. Second, results support a generally reduced broad-scale recombination rate compared with the great apes, as well as a narrower fraction of the genome in which the majority of recombination events are observed to occur. Taken together, this data set highlights the great necessity of future research to identify genomic features and quantify evolutionary processes that are driving these rate changes across primates.
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Affiliation(s)
- Susanne P Pfeifer
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ
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24
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Liu Z, Zhang L, Yan Z, Ren Z, Han F, Tan X, Xiang Z, Dong F, Yang Z, Liu G, Wang Z, Zhang J, Que T, Tang C, Li Y, Wang S, Wu J, Li L, Huang C, Roos C, Li M. Genomic Mechanisms of Physiological and Morphological Adaptations of Limestone Langurs to Karst Habitats. Mol Biol Evol 2021; 37:952-968. [PMID: 31846031 DOI: 10.1093/molbev/msz301] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Knowledge of the physiological and morphological evolution and adaptation of nonhuman primates is critical to understand hominin origins, physiological ecology, morphological evolution, and applications in biomedicine. Particularly, limestone langurs represent a direct example of adaptations to the challenges of exploiting a high calcium and harsh environment. Here, we report a de novo genome assembly (Tfra_2.0) of a male François's langur (Trachypithecus francoisi) with contig N50 of 16.3 Mb and resequencing data of 23 individuals representing five limestone and four forest langur species. Comparative genomics reveals evidence for functional evolution in genes and gene families related to calcium signaling in the limestone langur genome, probably as an adaptation to naturally occurring high calcium levels present in water and plant resources in karst habitats. The genomic and functional analyses suggest that a single point mutation (Lys1905Arg) in the α1c subunit of the L-type voltage-gated calcium channel Cav1.2 (CACNA1C) attenuates the inward calcium current into the cells in vitro. Population genomic analyses and RNA-sequencing indicate that EDNRB is less expressed in white tail hair follicles of the white-headed langur (T. leucocephalus) compared with the black-colored François's langur and hence might be responsible for species-specific differences in body coloration. Our findings contribute to a new understanding of gene-environment interactions and physiomorphological adaptative mechanisms in ecologically specialized primate taxa.
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Affiliation(s)
- Zhijin Liu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China
| | - Liye Zhang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhongze Yan
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China
| | - Zhijie Ren
- College of Life Sciences, Capital Normal University, Beijing 100048, China
| | - Fengming Han
- Biomarker Technologies Corporation, Beijing 101300, China
| | - Xinxin Tan
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhiyuan Xiang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fang Dong
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China
| | - Zuomin Yang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,School of Life Sciences, Qufu Normal University, Qufu 273165, Shandong, China
| | - Guangjian Liu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China
| | - Ziming Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiali Zhang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China
| | - Tengcheng Que
- Guangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-Aid Monitoring Epidemic Diseases Research Center, Nanning 530001, Guangxi Province, China
| | - Chaohui Tang
- Wuzhou Langur Breeding and Research Center, Wuzhou 543002, Guangxi Province, China
| | - Yifeng Li
- Wuzhou Langur Breeding and Research Center, Wuzhou 543002, Guangxi Province, China
| | - Song Wang
- Nanning Zoo, Nanning 530000, Guangxi Province, China
| | - Junyi Wu
- Nanning Zoo, Nanning 530000, Guangxi Province, China
| | - Legong Li
- College of Life Sciences, Capital Normal University, Beijing 100048, China
| | - Chengming Huang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen 37077, Germany
| | - Ming Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Beijing 100101, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
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25
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Poirier C, Hamed SB, Garcia-Saldivar P, Kwok SC, Meguerditchian A, Merchant H, Rogers J, Wells S, Fox AS. Beyond MRI: on the scientific value of combining non-human primate neuroimaging with metadata. Neuroimage 2021; 228:117679. [PMID: 33359343 PMCID: PMC7903159 DOI: 10.1016/j.neuroimage.2020.117679] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/07/2020] [Accepted: 12/16/2020] [Indexed: 01/01/2023] Open
Abstract
Sharing and pooling large amounts of non-human primate neuroimaging data offer new exciting opportunities to understand the primate brain. The potential of big data in non-human primate neuroimaging could however be tremendously enhanced by combining such neuroimaging data with other types of information. Here we describe metadata that have been identified as particularly valuable by the non-human primate neuroimaging community, including behavioural, genetic, physiological and phylogenetic data.
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Affiliation(s)
- Colline Poirier
- Biosciences Institute & Centre for Behaviour and Evolution, Faculty of Medical Sciences, Newcastle 6, UK.
| | - Suliann Ben Hamed
- Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Université de Lyon - CNRS, France
| | - Pamela Garcia-Saldivar
- Instituto de Neurobiología, UNAM, Campus Juriquilla. Boulevard Juriquilla No. 3001 Querétaro, Qro. 76230 México
| | - Sze Chai Kwok
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics Ministry of Education, Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), Shanghai Changning Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan, Jiangsu, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai, China
| | - Adrien Meguerditchian
- Laboratoire de Psychologie Cognitive, UMR7290, Université Aix-Marseille/CNRS, Institut Language, Communication and the Brain 13331 Marseille, France
| | - Hugo Merchant
- Instituto de Neurobiología, UNAM, Campus Juriquilla. Boulevard Juriquilla No. 3001 Querétaro, Qro. 76230 México
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Dept. of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA 77030
| | - Sara Wells
- Centre for Macaques, MRC Harwell Institute, Porton Down, Salisbury, United Kingdom
| | - Andrew S Fox
- California National Primate Research Center, Department of Psychology, University of California, Davis, Davis, CA, 95616, USA
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26
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The population genomics of adaptive loss of function. Heredity (Edinb) 2021; 126:383-395. [PMID: 33574599 PMCID: PMC7878030 DOI: 10.1038/s41437-021-00403-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 12/28/2020] [Accepted: 01/01/2021] [Indexed: 12/23/2022] Open
Abstract
Discoveries of adaptive gene knockouts and widespread losses of complete genes have in recent years led to a major rethink of the early view that loss-of-function alleles are almost always deleterious. Today, surveys of population genomic diversity are revealing extensive loss-of-function and gene content variation, yet the adaptive significance of much of this variation remains unknown. Here we examine the evolutionary dynamics of adaptive loss of function through the lens of population genomics and consider the challenges and opportunities of studying adaptive loss-of-function alleles using population genetics models. We discuss how the theoretically expected existence of allelic heterogeneity, defined as multiple functionally analogous mutations at the same locus, has proven consistent with empirical evidence and why this impedes both the detection of selection and causal relationships with phenotypes. We then review technical progress towards new functionally explicit population genomic tools and genotype-phenotype methods to overcome these limitations. More broadly, we discuss how the challenges of studying adaptive loss of function highlight the value of classifying genomic variation in a way consistent with the functional concept of an allele from classical population genetics.
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27
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Petty LE, Phillippi-Falkenstein K, Kubisch HM, Raveendran M, Harris RA, Vallender EJ, Huff CD, Bohm RP, Rogers J, Below JE. Pedigree reconstruction and distant pairwise relatedness estimation from genome sequence data: A demonstration in a population of rhesus macaques (Macaca mulatta). Mol Ecol Resour 2021; 21:1333-1346. [PMID: 33386679 PMCID: PMC8247968 DOI: 10.1111/1755-0998.13317] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/13/2020] [Accepted: 12/07/2020] [Indexed: 12/30/2022]
Abstract
A primary challenge in the analysis of free‐ranging animal populations is the accurate estimation of relatedness among individuals. Many aspects of population analysis rely on knowledge of relatedness patterns, including socioecology, demography, heritability and gene mapping analyses, wildlife conservation and the management of breeding colonies. Methods for determining relatedness using genome‐wide data have improved our ability to determine kinship and reconstruct pedigrees in humans. However, methods for reconstructing complex pedigree structures and estimating distant relatedness (beyond third‐degree) have not been widely applied to other species. We sequenced the genomes of 150 male rhesus macaques from the Tulane National Primate Research Center colony to estimate pairwise relatedness, reconstruct closely related pedigrees, estimate more distant relationships and augment colony records. Methods for determining relatedness developed for human genetic data were applied and evaluated in the analysis of nonhuman primates, including identity‐by‐descent‐based methods for pedigree reconstruction and shared segment‐based inference of more distant relatedness. We compared the genotype‐based pedigrees and estimated relationships to available colony pedigree records and found high concordance (95.5% agreement) between expected and identified relationships for close relatives. In addition, we detected distant relationships not captured in colony records, including some as distant as twelfth‐degree. Furthermore, while deep sequence coverage is preferable, we show that this approach can also provide valuable information when only low‐coverage (5×) sequence data is available. Our findings demonstrate the value of these methods for determination of relatedness in various animal populations, with diverse applications to conservation biology, evolutionary and ecological research and biomedical studies.
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Affiliation(s)
- Lauren E Petty
- Vanderbilt Genetics Institute and Department of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - H Michael Kubisch
- Division of Veterinary Medicine, Tulane National Primate Research Center, Covington, LA, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - R Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Eric J Vallender
- Division of Veterinary Medicine, Tulane National Primate Research Center, Covington, LA, USA.,Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA
| | - Chad D Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rudolf P Bohm
- Division of Veterinary Medicine, Tulane National Primate Research Center, Covington, LA, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute and Department of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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28
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Warren WC, Harris RA, Haukness M, Fiddes IT, Murali SC, Fernandes J, Dishuck PC, Storer JM, Raveendran M, Hillier LW, Porubsky D, Mao Y, Gordon D, Vollger MR, Lewis AP, Munson KM, DeVogelaere E, Armstrong J, Diekhans M, Walker JA, Tomlinson C, Graves-Lindsay TA, Kremitzki M, Salama SR, Audano PA, Escalona M, Maurer NW, Antonacci F, Mercuri L, Maggiolini FAM, Catacchio CR, Underwood JG, O'Connor DH, Sanders AD, Korbel JO, Ferguson B, Kubisch HM, Picker L, Kalin NH, Rosene D, Levine J, Abbott DH, Gray SB, Sanchez MM, Kovacs-Balint ZA, Kemnitz JW, Thomasy SM, Roberts JA, Kinnally EL, Capitanio JP, Skene JHP, Platt M, Cole SA, Green RE, Ventura M, Wiseman RW, Paten B, Batzer MA, Rogers J, Eichler EE. Sequence diversity analyses of an improved rhesus macaque genome enhance its biomedical utility. Science 2021; 370:370/6523/eabc6617. [PMID: 33335035 DOI: 10.1126/science.abc6617] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 10/29/2020] [Indexed: 12/15/2022]
Abstract
The rhesus macaque (Macaca mulatta) is the most widely studied nonhuman primate (NHP) in biomedical research. We present an updated reference genome assembly (Mmul_10, contig N50 = 46 Mbp) that increases the sequence contiguity 120-fold and annotate it using 6.5 million full-length transcripts, thus improving our understanding of gene content, isoform diversity, and repeat organization. With the improved assembly of segmental duplications, we discovered new lineage-specific genes and expanded gene families that are potentially informative in studies of evolution and disease susceptibility. Whole-genome sequencing (WGS) data from 853 rhesus macaques identified 85.7 million single-nucleotide variants (SNVs) and 10.5 million indel variants, including potentially damaging variants in genes associated with human autism and developmental delay, providing a framework for developing noninvasive NHP models of human disease.
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Affiliation(s)
- Wesley C Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA. .,Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65211, USA.,Institute of Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
| | - R Alan Harris
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Marina Haukness
- Computational Genomics Laboratory, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Shwetha C Murali
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Jason Fernandes
- Department of Biomolecular Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Jessica M Storer
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.,Institue for Systems Biology, Seattle, WA 98109, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - LaDeana W Hillier
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Yafei Mao
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - David Gordon
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Elizabeth DeVogelaere
- Computational Genomics Laboratory, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Joel Armstrong
- Computational Genomics Laboratory, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Mark Diekhans
- Computational Genomics Laboratory, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Jerilyn A Walker
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | | | - Milinn Kremitzki
- McDonnell Genome Institute, Washington University, St. Louis, MO 63108, USA
| | - Sofie R Salama
- Department of Biomolecular Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Peter A Audano
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Merly Escalona
- Department of Biomolecular Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Nicholas W Maurer
- Department of Biomolecular Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Ludovica Mercuri
- Department of Biology, University of Bari 'Aldo Moro', 70125 Bari, Italy
| | | | | | | | - David H O'Connor
- Department of Pathology and Laboratory Medicine, Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI 53711, USA
| | - Ashley D Sanders
- European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Jan O Korbel
- European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Betsy Ferguson
- Division of Genetics, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, OR 97006, USA
| | | | - Louis Picker
- Oregon National Primate Research Center and Vaccine and Gene Therapy Institute, Oregon Health Sciences University, Beaverton, OR 97006, USA
| | - Ned H Kalin
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI 53719, USA
| | - Douglas Rosene
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Jon Levine
- Department of Neuroscience, University of Wisconsin, Madison, WI 53175, USA.,Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI 53171, USA
| | - David H Abbott
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI 53171, USA.,Department of Obstetrics and Gynecology, Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI 53715, USA
| | - Stanton B Gray
- The University of Texas MD Anderson Cancer Center, Michale E. Keeling Center for Comparative Medicine and Research, Bastrop, TX 78602, USA
| | - Mar M Sanchez
- Yerkes National Primate Research Center, Atlanta, GA 30329, USA.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329, USA
| | | | - Joseph W Kemnitz
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI 53171, USA.,Department of Cell and Regenerative Biology, University of Wisconsin, Madison, WI 53706, USA
| | - Sara M Thomasy
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California-Davis, Davis, CA 95616, USA.,Department of Ophthalmology and Vision Science, School of Medicine, University of California-Davis, Davis, CA 95817, USA
| | | | - Erin L Kinnally
- California National Primate Research Center, Davis, CA 95616, USA.,Department of Psychology, University of California, Davis, CA 95616, USA
| | - John P Capitanio
- California National Primate Research Center, Davis, CA 95616, USA.,Department of Psychology, University of California, Davis, CA 95616, USA
| | - J H Pate Skene
- Department of Neurobiology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Michael Platt
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute and Southwest National Primate Research Center, San Antonio, TX 78227, USA
| | - Richard E Green
- Department of Biomolecular Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Mario Ventura
- Department of Biology, University of Bari 'Aldo Moro', 70125 Bari, Italy
| | - Roger W Wiseman
- Department of Pathology and Laboratory Medicine, Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI 53711, USA
| | - Benedict Paten
- Computational Genomics Laboratory, University of California-Santa Cruz, Santa Cruz, CA 95064, USA
| | - Mark A Batzer
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. .,Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
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29
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Osada N, Matsudaira K, Hamada Y, Malaivijitnond S. Testing Sex-Biased Admixture Origin of Macaque Species Using Autosomal and X-Chromosomal Genomic Sequences. Genome Biol Evol 2021; 13:evaa209. [PMID: 33045051 PMCID: PMC8631084 DOI: 10.1093/gbe/evaa209] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2020] [Indexed: 11/22/2022] Open
Abstract
The role of sex-specific demography in hybridization and admixture of genetically diverged species and populations is essential to understand the origins of the genomic diversity of sexually reproducing organisms. In order to infer how sex-linked loci have been differentiated undergoing frequent hybridization and admixture, we examined 17 whole-genome sequences of seven species representing the genus Macaca, which shows frequent inter-specific hybridization and predominantly female philopatry. We found that hybridization and admixture were prevalent within these species. For three cases of suggested hybrid origin of species/subspecies, Macaca arctoides, Macaca fascicularis ssp. aurea, and Chinese Macaca mulatta, we examined the level of admixture of X chromosomes, which is less affected by male-biased migration than that of autosomes. In one case, we found that Macaca cyclopis and Macaca fuscata was genetically closer to Chinese M. mulatta than to the Indian M. mulatta, and the admixture level of Chinese M. mulatta and M. fuscata/cyclopis was more pronounced on the X chromosome than on autosomes. Since the mitochondrial genomes of Chinese M. mulatta, M. cyclopis, and M. fuscata were found to cluster together, and the mitochondrial genome of Indian M. mulatta is more distantly related, the observed pattern of genetic differentiation on X-chromosomal loci is consistent with the nuclear swamping hypothesis, in which strong, continuous male-biased introgression from the ancestral Chinese M. mulatta population to a population related to M. fuscata and M. cyclopis generated incongruencies between the genealogies of the mitochondrial and nuclear genomes.
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Affiliation(s)
- Naoki Osada
- Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan
- Global Station for Big Data and Cybersecurity, GI-CoRE, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Kazunari Matsudaira
- Department of Biology, Faculty of Science, Chulalongkorn University, Pathumwan, Bangkok, Thailand
- Unit of Human Biology and Genetics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Yuzuru Hamada
- Evolutionary Morphology Section, Department of Evolution and Phylogeny, Primate Research Institute, Kyoto University, Inuyama, Aichi, Japan
| | - Suchinda Malaivijitnond
- Department of Biology, Faculty of Science, Chulalongkorn University, Pathumwan, Bangkok, Thailand
- National Primate Research Center of Thailand, Chulalongkorn University, Saraburi Province, Thailand
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30
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Wang X, Jin S, Hu W. A Role of Glucose Overload in Diabetic Cardiomyopathy in Nonhuman Primates. J Diabetes Res 2021; 2021:9676754. [PMID: 33860059 PMCID: PMC8026299 DOI: 10.1155/2021/9676754] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 01/19/2021] [Accepted: 03/23/2021] [Indexed: 12/29/2022] Open
Abstract
Type 2 diabetes (T2D) plays a major role in the development of heart failure. Patients with T2D have an increased risk to develop HF than healthy subjects, and they always have very poor outcomes and survival rates. However, the underlying mechanisms for this are still unclear. To help develop new therapeutic interventions, well-characterized animal models for preclinical and translational investigations in T2D and HF are urgently needed. Although studies in rodents are more often used, the research findings in rodents have often failed to be translated into humans due to the significant metabolic differences between rodents and humans. Nonhuman primates (NHPs) serve as valuable translational models between basic studies in rodent models and clinical studies in humans. NHPs can recapitulate the natural progress of these diseases in humans and study the underlying mechanism due to their genetic similarity and comparable spontaneous T2D rates to humans. In this review, we discuss the importance of using NHPs models in understanding diabetic cardiomyopathy (DCM) in humans with aspects of correlations between hyperglycemia and cardiac dysfunction progression, glucose overload, and altered glucose metabolism promoting cardiac oxidative stress and mitochondria dysfunction, glucose, and its effect on cardiac resynchronization therapy with defibrillator (CRT-d), the currently available diabetic NHPs models and the limitations involved in the use of NHP models.
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Affiliation(s)
- Xiu Wang
- Department of Anesthesiology, The Fourth Affiliated Hospital of China Medical University, Shenyang 110034, China
| | - Shi Jin
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang 110034, China
| | - Weina Hu
- Department of Cardiology, The Fourth Affiliated Hospital of China Medical University, Shenyang 110034, China
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31
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Infant inhibited temperament in primates predicts adult behavior, is heritable, and is associated with anxiety-relevant genetic variation. Mol Psychiatry 2021; 26:6609-6618. [PMID: 34035480 PMCID: PMC8613309 DOI: 10.1038/s41380-021-01156-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 04/23/2021] [Accepted: 05/04/2021] [Indexed: 02/04/2023]
Abstract
An anxious or inhibited temperament (IT) early in life is a major risk factor for the later development of stress-related psychopathology. Starting in infancy, nonhuman primates, like humans, begin to reveal their temperament when exposed to novel situations. Here, in Study 1 we demonstrate this infant IT predicts adult behavior. Specifically, in over 600 monkeys, we found that individuals scored as inhibited during infancy were more likely to refuse treats offered by potentially-threatening human experimenters as adults. In Study 2, using a sample of over 4000 monkeys from a large multi-generational family pedigree, we demonstrate that infant IT is partially heritable. The data revealed infant IT to reflect a co-inherited substrate that manifests across multiple latent variables. Finally, in Study 3 we performed whole-genome sequencing in 106 monkeys to identify IT-associated single-nucleotide variations (SNVs). Results demonstrated a genome-wide significant SNV near CTNNA2, suggesting a molecular target worthy of additional investigation. Moreover, we observed lower p values in genes implicated in human association studies of neuroticism and depression. Together, these data demonstrate the utility of our model of infant inhibited temperament in the rhesus monkey to facilitate discovery of genes that are relevant to the long-term inherited risk to develop anxiety and depressive disorders.
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32
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Zhen Y, Huber CD, Davies RW, Lohmueller KE. Greater strength of selection and higher proportion of beneficial amino acid changing mutations in humans compared with mice and Drosophila melanogaster. Genome Res 2020; 31:110-120. [PMID: 33208456 PMCID: PMC7849390 DOI: 10.1101/gr.256636.119] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Accepted: 11/10/2020] [Indexed: 12/19/2022]
Abstract
Quantifying and comparing the amount of adaptive evolution among different species is key to understanding how evolution works. Previous studies have shown differences in adaptive evolution across species; however, their specific causes remain elusive. Here, we use improved modeling of weakly deleterious mutations and the demographic history of the outgroup species and ancestral population and estimate that at least 20% of nonsynonymous substitutions between humans and an outgroup species were fixed by positive selection. This estimate is much higher than previous estimates, which did not correct for the sizes of the outgroup species and ancestral population. Next, we jointly estimate the proportion and selection coefficient (p+ and s+, respectively) of newly arising beneficial nonsynonymous mutations in humans, mice, and Drosophila melanogaster by examining patterns of polymorphism and divergence. We develop a novel composite likelihood framework to test whether these parameters differ across species. Overall, we reject a model with the same p+ and s+ of beneficial mutations across species and estimate that humans have a higher p+s+ compared with that of D. melanogaster and mice. We show that this result cannot be caused by biased gene conversion or hypermutable CpG sites. We discuss possible biological explanations that could generate the observed differences in the amount of adaptive evolution across species.
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Affiliation(s)
- Ying Zhen
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA.,Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, 310024, China.,Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China
| | - Christian D Huber
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA.,School of Biological Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Robert W Davies
- Program in Genetics and Genome Biology and The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, M5G 0A4, Canada.,Department of Statistics, University of Oxford, Oxford, OX1 3LB, United Kingdom
| | - Kirk E Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA.,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA
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33
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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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34
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Buckley RM, Davis BW, Brashear WA, Farias FHG, Kuroki K, Graves T, Hillier LW, Kremitzki M, Li G, Middleton RP, Minx P, Tomlinson C, Lyons LA, Murphy WJ, Warren WC. A new domestic cat genome assembly based on long sequence reads empowers feline genomic medicine and identifies a novel gene for dwarfism. PLoS Genet 2020; 16:e1008926. [PMID: 33090996 PMCID: PMC7581003 DOI: 10.1371/journal.pgen.1008926] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 06/10/2020] [Indexed: 12/30/2022] Open
Abstract
The domestic cat (Felis catus) numbers over 94 million in the USA alone, occupies households as a companion animal, and, like humans, suffers from cancer and common and rare diseases. However, genome-wide sequence variant information is limited for this species. To empower trait analyses, a new cat genome reference assembly was developed from PacBio long sequence reads that significantly improve sequence representation and assembly contiguity. The whole genome sequences of 54 domestic cats were aligned to the reference to identify single nucleotide variants (SNVs) and structural variants (SVs). Across all cats, 16 SNVs predicted to have deleterious impacts and in a singleton state were identified as high priority candidates for causative mutations. One candidate was a stop gain in the tumor suppressor FBXW7. The SNV is found in cats segregating for feline mediastinal lymphoma and is a candidate for inherited cancer susceptibility. SV analysis revealed a complex deletion coupled with a nearby potential duplication event that was shared privately across three unrelated cats with dwarfism and is found within a known dwarfism associated region on cat chromosome B1. This SV interrupted UDP-glucose 6-dehydrogenase (UGDH), a gene involved in the biosynthesis of glycosaminoglycans. Importantly, UGDH has not yet been associated with human dwarfism and should be screened in undiagnosed patients. The new high-quality cat genome reference and the compilation of sequence variation demonstrate the importance of these resources when searching for disease causative alleles in the domestic cat and for identification of feline biomedical models. The practice of genomic medicine is predicated on the availability of a high quality reference genome and an understanding of the impact of genome variation. Such resources have lead to countless discoveries in humans, however by working exclusively within the framework of human genetics, our potential for understanding diseases biology is limited, as similar analyses in other species have often lead to novel insights. The generation of Felis_catus_9.0, a new high quality reference genome for the domestic cat, helps facilitate the expansion of genomic medicine into the Felis lineage. Using Felis_catus_9.0 we analyze the landscape of genomic variation from a collection of 54 cats within the context of human gene constraint. The distribution of variant impacts in cats is correlated with patterns of gene constraint in humans, indicating the utility of this reference for identifying novel mutations that cause phenotypes relevant to human and cat health. Moreover, structural variant analysis revealed a novel variant for feline dwarfism in UGDH, a gene that has not been associated with dwarfism in any other species, suggesting a role for UGDH in cases of undiagnosed dwarfism in humans.
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Affiliation(s)
- Reuben M. Buckley
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, Missouri, United States of America
| | - Brian W. Davis
- Department of Veterinary Integrative Biosciences, Interdisciplinary Program in Genetics, College of Veterinary Medicine, Texas A&M University, College Station, Texas, United States of America
| | - Wesley A. Brashear
- Department of Veterinary Integrative Biosciences, Interdisciplinary Program in Genetics, College of Veterinary Medicine, Texas A&M University, College Station, Texas, United States of America
| | - Fabiana H. G. Farias
- Department of Psychiatry, Washington University, St. Louis, Missouri, United States of America
- NeuroGenomics and Informatics, Washington University, St. Louis, Missouri, United States of America
| | - Kei Kuroki
- Veterinary Medical Diagnostic Laboratory, College of Veterinary Medicine, University of Missouri, Columbia, Missouri, United States of America
| | - Tina Graves
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, Missouri, United States of America
| | - LaDeana W. Hillier
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, Missouri, United States of America
| | - Milinn Kremitzki
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, Missouri, United States of America
| | - Gang Li
- Department of Veterinary Integrative Biosciences, Interdisciplinary Program in Genetics, College of Veterinary Medicine, Texas A&M University, College Station, Texas, United States of America
| | | | - Patrick Minx
- Donald Danforth Plant Science, St Louis, Missouri, United States of America
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St Louis, Missouri, United States of America
| | - Leslie A. Lyons
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, Missouri, United States of America
| | - William J. Murphy
- Department of Veterinary Integrative Biosciences, Interdisciplinary Program in Genetics, College of Veterinary Medicine, Texas A&M University, College Station, Texas, United States of America
| | - Wesley C. Warren
- Division of Animal Sciences, School of Medicine, University of Missouri, Columbia, Missouri, United States of America
- * E-mail:
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35
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Single-cell strand sequencing of a macaque genome reveals multiple nested inversions and breakpoint reuse during primate evolution. Genome Res 2020; 30:1680-1693. [PMID: 33093070 PMCID: PMC7605249 DOI: 10.1101/gr.265322.120] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 09/02/2020] [Indexed: 12/14/2022]
Abstract
Rhesus macaque is an Old World monkey that shared a common ancestor with human ∼25 Myr ago and is an important animal model for human disease studies. A deep understanding of its genetics is therefore required for both biomedical and evolutionary studies. Among structural variants, inversions represent a driving force in speciation and play an important role in disease predisposition. Here we generated a genome-wide map of inversions between human and macaque, combining single-cell strand sequencing with cytogenetics. We identified 375 total inversions between 859 bp and 92 Mbp, increasing by eightfold the number of previously reported inversions. Among these, 19 inversions flanked by segmental duplications overlap with recurrent copy number variants associated with neurocognitive disorders. Evolutionary analyses show that in 17 out of 19 cases, the Hominidae orientation of these disease-associated regions is always derived. This suggests that duplicated sequences likely played a fundamental role in generating inversions in humans and great apes, creating architectures that nowadays predispose these regions to disease-associated genetic instability. Finally, we identified 861 genes mapping at 156 inversions breakpoints, with some showing evidence of differential expression in human and macaque cell lines, thus highlighting candidates that might have contributed to the evolution of species-specific features. This study depicts the most accurate fine-scale map of inversions between human and macaque using a two-pronged integrative approach, such as single-cell strand sequencing and cytogenetics, and represents a valuable resource toward understanding of the biology and evolution of primate species.
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36
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Oldt RF, Bussey KJ, Settles ML, Fass JN, Roberts JA, Reader JR, Komandoor S, Abrich VA, Kanthaswamy S. MYBPC3 Haplotype Linked to Hypertrophic Cardiomyopathy in Rhesus Macaques ( Macaca mulatta). Comp Med 2020; 70:358-367. [PMID: 32753092 PMCID: PMC7574221 DOI: 10.30802/aalas-cm-19-000108] [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: 11/07/2019] [Revised: 01/13/2020] [Accepted: 02/07/2020] [Indexed: 11/05/2022]
Abstract
In humans, abnormal thickening of the left ventricle of the heart clinically defines hypertrophic cardiomyopathy (HCM), a common inherited cardiovascular disorder that can precede a sudden cardiac death event. The wide range of clinical presentations in HCM obscures genetic variants that may influence an individual's susceptibility to sudden cardiac death. Although exon sequencing of major sarcomere genes can be used to detect high-impact causal mutations, this strategy is successful in only half of patient cases. The incidence of left ventricular hypertrophy (LVH) in a managed research colony of rhesus macaques provides an excellent comparative model in which to explore the genomic etiology of severe HCM and sudden cardiac death. Because no rhesus HCM-associated mutations have been reported, we used a next-generation genotyping assay that targets 7 sarcomeric rhesus genes within 63 genomic sites that are orthologous to human genomic regions known to harbor HCM disease variants. Amplicon sequencing was performed on 52 macaques with confirmed LVH and 42 unrelated, unaffected animals representing both the Indian and Chinese rhesus macaque subspecies. Bias-reduced logistic regression uncovered a risk haplotype in the rhesus MYBPC3 gene, which is frequently disrupted in both human and feline HCM; this haplotype implicates an intronic variant strongly associated with disease in either homozygous or carrier form. Our results highlight that leveraging evolutionary genomic data provides a unique, practical strategy for minimizing population bias in complex disease studies.
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Affiliation(s)
- Robert F Oldt
- School of Mathematical and Natural Sciences, Arizona State University at the West Campus, Glendale, Arizona; Evolutionary Biology Graduate Program, School of Life Sciences, Arizona State University at the West Campus, Glendale, Arizona;,
| | - Kimberly J Bussey
- School of Mathematical and Natural Sciences, Arizona State University at the West Campus, Glendale, Arizona; BEYOND Center for Fundamental Concepts in Science, Arizona State University at the West Campus, Glendale, Arizona
| | - Matthew L Settles
- Bioinformatics Core, UC Davis Genome Center, University of California, Davis, California
| | - Joseph N Fass
- Bioinformatics Core, UC Davis Genome Center, University of California, Davis, California
| | - Jeffrey A Roberts
- California National Primate Research Center, University of California, Davis, California
| | - J Rachel Reader
- California National Primate Research Center, University of California, Davis, California
| | | | - Victor A Abrich
- Division of Cardiovascular Diseases, Mayo Clinic, Scottsdale, Arizona
| | - Sreetharan Kanthaswamy
- School of Mathematical and Natural Sciences, Arizona State University at the West Campus, Glendale, Arizona; Evolutionary Biology Graduate Program, School of Life Sciences, Arizona State University at the West Campus, Glendale, Arizona; California National Primate Research Center, University of California, Davis, California
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37
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Xue C, Rustagi N, Liu X, Raveendran M, Harris RA, Venkata MG, Rogers J, Yu F. Reduced meiotic recombination in rhesus macaques and the origin of the human recombination landscape. PLoS One 2020; 15:e0236285. [PMID: 32841250 PMCID: PMC7447010 DOI: 10.1371/journal.pone.0236285] [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: 05/29/2020] [Accepted: 07/01/2020] [Indexed: 11/18/2022] Open
Abstract
Characterizing meiotic recombination rates across the genomes of nonhuman primates is important for understanding the genetics of primate populations, performing genetic analyses of phenotypic variation and reconstructing the evolution of human recombination. Rhesus macaques (Macaca mulatta) are the most widely used nonhuman primates in biomedical research. We constructed a high-resolution genetic map of the rhesus genome based on whole genome sequence data from Indian-origin rhesus macaques. The genetic markers used were approximately 18 million SNPs, with marker density 6.93 per kb across the autosomes. We report that the genome-wide recombination rate in rhesus macaques is significantly lower than rates observed in apes or humans, while the distribution of recombination across the macaque genome is more uniform. These observations provide new comparative information regarding the evolution of recombination in primates.
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Affiliation(s)
- Cheng Xue
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- * E-mail: (FY); (JR); (CX)
| | - Navin Rustagi
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Xiaoming Liu
- USF Genomics & College of Public Health, University of South Florida, Tampa, Florida, United States of America
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - R. Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | | | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- * E-mail: (FY); (JR); (CX)
| | - Fuli Yu
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- * E-mail: (FY); (JR); (CX)
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38
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Ito T, Kanthaswamy S, Bunlungsup S, Oldt RF, Houghton P, Hamada Y, Malaivijitnond S. Secondary contact and genomic admixture between rhesus and long-tailed macaques in the Indochina Peninsula. J Evol Biol 2020; 33:1164-1179. [PMID: 33448526 DOI: 10.1111/jeb.13681] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 06/11/2020] [Accepted: 07/08/2020] [Indexed: 01/07/2023]
Abstract
Understanding the process and consequences of hybridization is one of the major challenges in evolutionary biology. A growing body of literature has reported evidence of ancient hybridization events or natural hybrid zones in primates, including humans; however, we still have relatively limited knowledge about the pattern and history of admixture because there have been little studies that simultaneously achieved genome-scale analysis and a geographically wide sampling of wild populations. Our study applied double-digest restriction site-associated DNA sequencing to samples from the six localities in and around the provisional hybrid zone of rhesus and long-tailed macaques and evaluated population structure, phylogenetic relationships, demographic history, and geographic clines of morphology and allele frequencies. A latitudinal gradient of genetic components was observed, highlighting the transition from rhesus (north) to long-tailed macaque distribution (south) as well as the presence of one northern population of long-tailed macaques exhibiting unique genetic structure. Interspecific gene flow was estimated to have recently occurred after an isolation period, and the migration rate from rhesus to long-tailed macaques was slightly greater than in the opposite direction. Although some rhesus macaque-biased alleles have widely introgressed into long-tailed macaque populations, the inflection points of allele frequencies have been observed as concentrated around the traditionally recognized interspecific boundary where morphology discontinuously changed; this pattern was more pronounced in the X chromosome than in autosomes. Thus, due to geographic separation before secondary contact, reproductive isolation could have evolved, contributing to the maintenance of an interspecific boundary and species-specific morphological characteristics.
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Affiliation(s)
- Tsuyoshi Ito
- Department of Evolution and Phylogeny, Primate Research Institute, Kyoto University, Aichi, Japan
| | - Sreetharan Kanthaswamy
- School of Mathematical and Natural Sciences, New College of Interdisciplinary Arts and Sciences, Arizona State University West Campus, Glendale, AZ, USA
| | - Srichan Bunlungsup
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.,National Primate Research Center of Thailand-Chulalongkorn University, Saraburi, Thailand
| | - Robert F Oldt
- School of Mathematical and Natural Sciences, New College of Interdisciplinary Arts and Sciences, Arizona State University West Campus, Glendale, AZ, USA
| | | | - Yuzuru Hamada
- Department of Evolution and Phylogeny, Primate Research Institute, Kyoto University, Aichi, Japan
| | - Suchinda Malaivijitnond
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.,National Primate Research Center of Thailand-Chulalongkorn University, Saraburi, Thailand
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39
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Branching out: what omics can tell us about primate evolution. Curr Opin Genet Dev 2020; 62:65-71. [DOI: 10.1016/j.gde.2020.06.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 06/02/2020] [Accepted: 06/04/2020] [Indexed: 12/25/2022]
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40
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Anderson JA, Vilgalys TP, Tung J. Broadening primate genomics: new insights into the ecology and evolution of primate gene regulation. Curr Opin Genet Dev 2020; 62:16-22. [PMID: 32569794 PMCID: PMC7483836 DOI: 10.1016/j.gde.2020.05.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 12/17/2022]
Abstract
Comparative analyses have played a key role in understanding how gene regulatory evolution contributes to primate phenotypic diversity. Recently, these studies have expanded to include a wider range of species, within-population as well as interspecific analyses, and research on wild as well as captive individuals. This expansion provides context for understanding genetic and environmental effects on gene regulation in humans, including the importance of the pathogen and social environments. Although taxonomic representation remains biased, inclusion of more species has also begun to reveal the evolutionary processes that explain whether and when gene regulation is conserved. Together, this work highlights how studies in other primates contribute to understanding evolution in our own lineage, and we conclude by identifying promising avenues for future work.
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Affiliation(s)
- Jordan A Anderson
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
| | - Tauras P Vilgalys
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA; Department of Medicine, Section of Genetic Medicine, University of Chicago, Chicago, IL, 60637, USA
| | - Jenny Tung
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA; Department of Biology, Duke University, Durham, NC 27708, USA; Institute of Primate Research, National Museums of Kenya, Nairobi 00502, Kenya; Duke Population Research Institute, Duke University, Durham, NC 27708, USA.
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41
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Wang RJ, Thomas GWC, Raveendran M, Harris RA, Doddapaneni H, Muzny DM, Capitanio JP, Radivojac P, Rogers J, Hahn MW. Paternal age in rhesus macaques is positively associated with germline mutation accumulation but not with measures of offspring sociability. Genome Res 2020; 30:826-834. [PMID: 32461224 PMCID: PMC7370888 DOI: 10.1101/gr.255174.119] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 05/21/2020] [Indexed: 01/26/2023]
Abstract
Mutation is the ultimate source of all genetic novelty and the cause of heritable genetic disorders. Mutational burden has been linked to complex disease, including neurodevelopmental disorders such as schizophrenia and autism. The rate of mutation is a fundamental genomic parameter and direct estimates of this parameter have been enabled by accurate comparisons of whole-genome sequences between parents and offspring. Studies in humans have revealed that the paternal age at conception explains most of the variation in mutation rate: Each additional year of paternal age in humans leads to approximately 1.5 additional inherited mutations. Here, we present an estimate of the de novo mutation rate in the rhesus macaque (Macaca mulatta) using whole-genome sequence data from 32 individuals in four large pedigrees. We estimated an average mutation rate of 0.58 × 10−8 per base pair per generation (at an average parental age of 7.5 yr), much lower than found in direct estimates from great apes. As in humans, older macaque fathers transmit more mutations to their offspring, increasing the per generation mutation rate by 4.27 × 10−10 per base pair per year. We found that the rate of mutation accumulation after puberty is similar between macaques and humans, but that a smaller number of mutations accumulate before puberty in macaques. We additionally investigated the role of paternal age on offspring sociability, a proxy for normal neurodevelopment, by studying 203 male macaques in large social groups.
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Affiliation(s)
- Richard J Wang
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA
| | - Gregg W C Thomas
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA.,Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Harshavardhan Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - John P Capitanio
- California National Primate Research Center, University of California-Davis, Davis, California 95616, USA
| | - Predrag Radivojac
- Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA.,Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts 02115, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA.,Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA
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42
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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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43
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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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44
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Bruijnesteijn J, de Groot N, van der Wiel MKH, Otting N, de Vos-Rouweler AJM, de Groot NG, Bontrop RE. Unparalleled Rapid Evolution of KIR Genes in Rhesus and Cynomolgus Macaque Populations. THE JOURNAL OF IMMUNOLOGY 2020; 204:1770-1786. [PMID: 32111732 DOI: 10.4049/jimmunol.1901140] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 01/21/2020] [Indexed: 12/19/2022]
Abstract
The killer cell Ig-like receptors (KIR) modulate immune responses through interactions with MHC class I molecules. The KIR region in large cohorts of rhesus and cynomolgus macaque populations were characterized, and the experimental design enabled the definition of a considerable number of alleles (n = 576) and haplotypes, which are highly variable with regard to architecture. Although high levels of polymorphism were recorded, only a few alleles are shared between species and populations. The rapid evolution of allelic polymorphism, accumulated by point mutations, was further confirmed by the emergence of a novel KIR allele in a rhesus macaque family. In addition to allelic variation, abundant orthologous and species-specific KIR genes were identified, the latter of which are frequently generated by fusion events. The concerted action of both genetic mechanisms, in combination with differential selective pressures at the population level, resulted in the unparalleled rapid evolution of the KIR gene region in two closely related macaque species. The variation of the KIR gene repertoire at the species and population level might have an impact on the outcome of preclinical studies with macaque models.
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Affiliation(s)
- Jesse Bruijnesteijn
- Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, 2288 GJ Rijswijk, the Netherlands; and
| | - Nanine de Groot
- Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, 2288 GJ Rijswijk, the Netherlands; and
| | - Marit K H van der Wiel
- Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, 2288 GJ Rijswijk, the Netherlands; and
| | - Nel Otting
- Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, 2288 GJ Rijswijk, the Netherlands; and
| | - Annemiek J M de Vos-Rouweler
- Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, 2288 GJ Rijswijk, the Netherlands; and
| | - Natasja G de Groot
- Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, 2288 GJ Rijswijk, the Netherlands; and
| | - Ronald E Bontrop
- Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, 2288 GJ Rijswijk, the Netherlands; and .,Theoretical Biology and Bioinformatics Group, Utrecht University, 3527 Utrecht, the Netherlands
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45
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Harris RA, Raveendran M, Worley KC, Rogers J. Unusual sequence characteristics of human chromosome 19 are conserved across 11 nonhuman primates. BMC Evol Biol 2020; 20:33. [PMID: 32106815 PMCID: PMC7045612 DOI: 10.1186/s12862-020-1595-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 02/11/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Human chromosome 19 has many unique characteristics including gene density more than double the genome-wide average and 20 large tandemly clustered gene families. It also has the highest GC content of any chromosome, especially outside gene clusters. The high GC content and concomitant high content of hypermutable CpG sites raises the possibility chromosome 19 exhibits higher levels of nucleotide diversity both within and between species, and may possess greater variation in DNA methylation that regulates gene expression. RESULTS We examined GC and CpG content of chromosome 19 orthologs across representatives of the primate order. In all 12 primate species with suitable genome assemblies, chromosome 19 orthologs have the highest GC content of any chromosome. CpG dinucleotides and CpG islands are also more prevalent in chromosome 19 orthologs than other chromosomes. GC and CpG content are generally higher outside the gene clusters. Intra-species variation based on SNPs in human common dbSNP, rhesus, crab eating macaque, baboon and marmoset datasets is most prevalent on chromosome 19 and its orthologs. Inter-species comparisons based on phyloP conservation show accelerated nucleotide evolution for chromosome 19 promoter flanking and enhancer regions. These same regulatory regions show the highest CpG density of any chromosome suggesting they possess considerable methylome regulatory potential. CONCLUSIONS The pattern of high GC and CpG content in chromosome 19 orthologs, particularly outside gene clusters, is present from human to mouse lemur representing 74 million years of primate evolution. Much CpG variation exists both within and between primate species with a portion of this variation occurring in regulatory regions.
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Affiliation(s)
- R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA.
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
| | - Kim C Worley
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
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46
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van der Valk T, Gonda CM, Silegowa H, Almanza S, Sifuentes-Romero I, Hart TB, Hart JA, Detwiler KM, Guschanski K. The Genome of the Endangered Dryas Monkey Provides New Insights into the Evolutionary History of the Vervets. Mol Biol Evol 2020; 37:183-194. [PMID: 31529046 PMCID: PMC6984364 DOI: 10.1093/molbev/msz213] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Genomic data can be a powerful tool for inferring ecology, behavior, and conservation needs of highly elusive species, particularly, when other sources of information are hard to come by. Here, we focus on the Dryas monkey (Cercopithecus dryas), an endangered primate endemic to the Congo Basin with cryptic behavior and possibly <250 remaining adult individuals. Using whole-genome sequencing data, we show that the Dryas monkey represents a sister lineage to the vervets (Chlorocebus sp.) and has diverged from them ∼1.4 Ma with additional bidirectional gene flow ∼750,000–∼500,000 years ago that has likely involved the crossing of the Congo River. Together with evidence of gene flow across the Congo River in bonobos and okapis, our results suggest that the fluvial topology of the Congo River might have been more dynamic than previously recognized. Despite the presence of several homozygous loss-of-function mutations in genes associated with sperm mobility and immunity, we find high genetic diversity and low levels of inbreeding and genetic load in the studied Dryas monkey individual. This suggests that the current population carries sufficient genetic variability for long-term survival and might be larger than currently recognized. We thus provide an example of how genomic data can directly improve our understanding of highly elusive species.
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Affiliation(s)
- Tom van der Valk
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Catalina M Gonda
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Henri Silegowa
- Frankfurt Zoological Society, TL2 Project, Kinshasa, Democratic Republic of the Congo
| | - Sandra Almanza
- Department of Anthropology, Florida Atlantic University, Boca Raton, FL
| | | | - Terese B Hart
- Frankfurt Zoological Society, TL2 Project, Kinshasa, Democratic Republic of the Congo
| | - John A Hart
- Frankfurt Zoological Society, TL2 Project, Kinshasa, Democratic Republic of the Congo
| | - Kate M Detwiler
- Department of Anthropology, Florida Atlantic University, Boca Raton, FL.,Department of Biological Sciences, Florida Atlantic University, Boca Raton, FL
| | - Katerina Guschanski
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
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47
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Abstract
Retinal degenerative diseases caused by photoreceptor cell death are major causes of irreversible vision loss. As only primates have a macula, the nonhuman primate (NHP) models have a crucial role not only in revealing biological mechanisms underlying high-acuity vision but also in the development of therapies. Successful translation of basic research findings into clinical trials and, moreover, approval of the first therapies for blinding inherited and age-related retinal dystrophies has been reported in recent years. This article explores the value of the NHP models in understanding human vision and reviews their contribution to the development of innovative therapeutic strategies to save and restore vision.
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48
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Abbott DH, Rogers J, Dumesic DA, Levine JE. Naturally Occurring and Experimentally Induced Rhesus Macaque Models for Polycystic Ovary Syndrome: Translational Gateways to Clinical Application. Med Sci (Basel) 2019; 7:medsci7120107. [PMID: 31783681 PMCID: PMC6950671 DOI: 10.3390/medsci7120107] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Revised: 11/16/2019] [Accepted: 11/16/2019] [Indexed: 12/19/2022] Open
Abstract
Indian rhesus macaque nonhuman primate models for polycystic ovary syndrome (PCOS) implicate both female hyperandrogenism and developmental molecular origins as core components of PCOS etiopathogenesis. Establishing and exploiting macaque models for translational impact into the clinic, however, has required multi-year, integrated basic-clinical science collaborations. Paradigm shifting insight has accrued from such concerted investment, leading to novel mechanistic understanding of PCOS, including hyperandrogenic fetal and peripubertal origins, epigenetic programming, altered neural function, defective oocytes and embryos, adipogenic constraint enhancing progression to insulin resistance, pancreatic decompensation and type 2 diabetes, together with placental compromise, all contributing to transgenerational transmission of traits likely to manifest in adult PCOS phenotypes. Our recent demonstration of PCOS-related traits in naturally hyperandrogenic (High T) female macaques additionally creates opportunities to employ whole genome sequencing to enable exploration of gene variants within human PCOS candidate genes contributing to PCOS-related traits in macaque models. This review will therefore consider Indian macaque model contributions to various aspects of PCOS-related pathophysiology, as well as the benefits of using macaque models with compellingly close homologies to the human genome, phenotype, development and aging.
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Affiliation(s)
- David H. Abbott
- Department of Obstetrics and Gynecology, Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI 53715, USA
- Correspondence: ; Tel.: +1-608-698-1953
| | - Jeffrey Rogers
- Department of Molecular and Human Genetics and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Daniel A. Dumesic
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA;
| | - Jon E. Levine
- Department of Neuroscience, Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI 53715, USA;
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49
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Caskey JR, Wiseman RW, Karl JA, Baker DA, Lee T, Maddox RJ, Raveendran M, Harris RA, Hu J, Muzny DM, Rogers J, O'Connor DH. MHC genotyping from rhesus macaque exome sequences. Immunogenetics 2019; 71:531-544. [PMID: 31321455 PMCID: PMC6790296 DOI: 10.1007/s00251-019-01125-w] [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: 05/03/2019] [Accepted: 07/02/2019] [Indexed: 02/03/2023]
Abstract
Indian rhesus macaque major histocompatibility complex (MHC) variation can influence the outcomes of transplantation and infectious disease studies. Frequently, rhesus macaques are MHC genotyped to identify variants that could account for unexpected results. Since the MHC is only one region in the genome where variation could impact experimental outcomes, strategies for simultaneously profiling variation in the macaque MHC and the remainder of the protein coding genome would be useful. Here we determine MHC class I and class II genotypes using target-capture probes enriched for MHC sequences, a method we term macaque exome sequence (MES) genotyping. For a cohort of 27 Indian rhesus macaques, we describe two methods for obtaining MHC genotypes from MES data and demonstrate that the MHC class I and class II genotyping results obtained with these methods are 98.1% and 98.7% concordant, respectively, with expected MHC genotypes. In contrast, conventional MHC genotyping results obtained by deep sequencing of short multiplex PCR amplicons were only 92.6% concordant with expectations for this cohort.
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Affiliation(s)
- John R Caskey
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, 53715, USA
| | - Roger W Wiseman
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, 53715, USA
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Julie A Karl
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - David A Baker
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Taylor Lee
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Robert J Maddox
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, 53715, USA
| | | | - R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jianhong Hu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - David H O'Connor
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, 53715, USA.
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA.
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50
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Ding Z, Ma M, Tao L, Peng Y, Han Y, Sun L, Dai X, Ji Z, Bai R, Jian M, Chen T, Luo L, Wang F, Bi Y, Liu A, Bao F. Rhesus Brain Transcriptomic Landscape in an ex vivo Model of the Interaction of Live Borrelia Burgdorferi With Frontal Cortex Tissue Explants. Front Neurosci 2019; 13:651. [PMID: 31316336 PMCID: PMC6610209 DOI: 10.3389/fnins.2019.00651] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 06/06/2019] [Indexed: 12/12/2022] Open
Abstract
Lyme neuroborreliosis (LNB) is the most dangerous manifestation of Lyme disease caused by the spirochete Borrelia burgdorferi which can reach the central nervous system most commonly presenting with lymphocytic meningitis; however, the molecular basis for neuroborreliosis is still poorly understood. We incubated explants from the frontal cortex of three rhesus brains with medium alone or medium with added live Borrelia burgdorferi for 6, 12, and 24 h and isolated RNA from each group was used for RNA sequencing with further bioinformatic analysis. Transcriptomic differences between the ex vivo model of live Borrelia burgdorferi with rhesus frontal cortex tissue explants and the controls during the progression of the infection were identified. A total of 2249, 1064, and 420 genes were significantly altered, of which 80.7, 52.9, and 19.8% were upregulated and 19.3, 47.1, 80.2% were downregulated at 6, 12, and 24 h, respectively. Gene ontology and KEGG pathway analyses revealed various pathways related to immune and inflammatory responses during the spirochete infection were enriched which is suggested to have a causal role in the pathogenesis of neurological Lyme disease. Moreover, we propose that the overexpressed FOLR2 which was demonstrated by the real-time PCR and western blotting could play a key role in neuroinflammation of the neuroborreliosis based on PPI analysis for the first time. To our knowledge, this is the first study to provide comprehensive information regarding the transcriptomic signatures that occur in the frontal cortex of the brain upon exposure to Borrelia burgdorferi, and suggest that FOLR2 is a promising target that is associated with neuroinflammation and may represent a new diagnostic or therapeutic marker in LNB.
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Affiliation(s)
- Zhe Ding
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Microbiology and Immunology, Kunming Medical University, Kunming, China
| | - Mingbiao Ma
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Microbiology and Immunology, Kunming Medical University, Kunming, China
| | - Lvyan Tao
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, China
| | - Yun Peng
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Microbiology and Immunology, Kunming Medical University, Kunming, China
| | - Yuanyuan Han
- Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Luyun Sun
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China
| | - Xiting Dai
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Microbiology and Immunology, Kunming Medical University, Kunming, China
| | - Zhenhua Ji
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Microbiology and Immunology, Kunming Medical University, Kunming, China
| | - Ruolan Bai
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, China
| | - Miaomiao Jian
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, China
| | - Taigui Chen
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Microbiology and Immunology, Kunming Medical University, Kunming, China
| | - Lisha Luo
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, China
| | - Feng Wang
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China
| | - Yunfeng Bi
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China
| | - Aihua Liu
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, China.,Yunnan Province Integrative Innovation Center for Public Health, Diseases Prevention and Control, Kunming Medical University, Kunming, China.,Yunnan Demonstration Base of International Science and Technology Cooperation for Tropical Diseases, Kunming, China
| | - Fukai Bao
- Yunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming, China.,Department of Microbiology and Immunology, Kunming Medical University, Kunming, China.,Yunnan Province Integrative Innovation Center for Public Health, Diseases Prevention and Control, Kunming Medical University, Kunming, China.,Yunnan Demonstration Base of International Science and Technology Cooperation for Tropical Diseases, Kunming, China
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