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Coppeto DJ, Martin JS, Ringen EJ, Palmieri V, Young LJ, Jaeggi AV. Peptides and primate personality: Central and peripheral oxytocin and vasopressin levels and social behavior in two baboon species (Papio hamadryas and Papio anubis). Peptides 2024; 179:171270. [PMID: 38969236 DOI: 10.1016/j.peptides.2024.171270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 06/14/2024] [Accepted: 07/01/2024] [Indexed: 07/07/2024]
Abstract
The neurohormones oxytocin (OT) and arginine vasopressin (AVP) are involved in social behaviors and psychiatric conditions. However, more research on nonhuman primates with complex social behaviors is needed. We studied two closely-related primate species with divergent social and mating systems; hamadryas baboons (Papio hamadryas, n=38 individuals) and anubis baboons (Papio anubis, n=46). We measured OT in cerebrospinal fluid (CSF, n=75), plasma (n=81) and urine (n=77), and AVP in CSF (n=45), and we collected over 250 hours of focal behavioral observations. Using Bayesian multivariate models, we found no clear species difference in hormone levels; the strongest support was for hamadryas having higher CSF OT levels than anubis (posterior probability [PP] for females = 0.75, males = 0.84). Looking at nine specific behaviors, OT was associated with affiliative behaviors (approach, proximity, grooming, PP ∼ 0.85 - 1.00), albeit inconsistently across sources of measurement (CSF, plasma, and urine, which were uncorrelated with each other). Most behaviors had low repeatability (R ∼ 0 - 0.2), i.e. they did not exhibit stable between-individual differences (or "personality"), and different behaviors did not neatly coalesce into higher-order factors (or "behavioral syndromes"), which cautions against the use of aggregate behavioral measures and highlights the need to establish stable behavioral profiles when testing associations with baseline hormone levels. In sum, we found some associations between peptides and social behavior, but also many null results, OT levels from different sources were uncorrelated, and our behavioral measures did not indicate clear individual differences in sociability.
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Affiliation(s)
- Daniel J Coppeto
- Department of Anthropology, Emory University, Atlanta, GA 30329, USA
| | - Jordan S Martin
- Institute of Evolutionary Medicine, University of Zurich, Zurich 8057, Switzerland
| | - Erik J Ringen
- Linguistic Research Infrastructure, University of Zurich, Zurich 8050, Switzerland
| | | | - Larry J Young
- Silvio O. Conte Center for Oxytocin and Social Cognition, Center for Translational Social Neuroscience, Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Adrian V Jaeggi
- Institute of Evolutionary Medicine, University of Zurich, Zurich 8057, Switzerland.
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2
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Kendall C, Robinson J, Debortoli G, Nooranikhojasteh A, Christian D, Newman D, Sayers K, Cole S, Parra E, Schillaci M, Viola B. Global and local ancestry estimation in a captive baboon colony. PLoS One 2024; 19:e0305157. [PMID: 38959276 PMCID: PMC11221750 DOI: 10.1371/journal.pone.0305157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/24/2024] [Indexed: 07/05/2024] Open
Abstract
The last couple of decades have highlighted the importance of studying hybridization, particularly among primate species, as it allows us to better understand our own evolutionary trajectory. Here, we report on genetic ancestry estimates using dense, full genome data from 881 olive (Papio anubus), yellow (Papio cynocephalus), or olive-yellow crossed captive baboons from the Southwest National Primate Research Center. We calculated global and local ancestry information, imputed low coverage genomes (n = 830) to improve marker quality, and updated the genetic resources of baboons available to assist future studies. We found evidence of historical admixture in some putatively purebred animals and identified errors within the Southwest National Primate Research Center pedigree. We also compared the outputs between two different phasing and imputation pipelines along with two different global ancestry estimation software. There was good agreement between the global ancestry estimation software, with R2 > 0.88, while evidence of phase switch errors increased depending on what phasing and imputation pipeline was used. We also generated updated genetic maps and created a concise set of ancestry informative markers (n = 1,747) to accurately obtain global ancestry estimates.
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Affiliation(s)
| | - Jacqueline Robinson
- Institute for Human Genetics, University of California, San Francisco, San Francisco, California, United States of America
| | - Guilherme Debortoli
- Department of Anthropology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | - Amin Nooranikhojasteh
- Epigenomics Lab, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Debbie Christian
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Deborah Newman
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Kenneth Sayers
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Shelley Cole
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Esteban Parra
- Department of Anthropology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | - Michael Schillaci
- Department of Anthropology, University of Toronto Scarborough, Scarborough, Ontario, Canada
| | - Bence Viola
- Department of Anthropology, University of Toronto, Toronto, Ontario, Canada
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3
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Pfeifer SP, Baxter A, Savidge LE, Sedlazeck FJ, Bales KL. De Novo Genome Assembly for the Coppery Titi Monkey (Plecturocebus cupreus): An Emerging Nonhuman Primate Model for Behavioral Research. Genome Biol Evol 2024; 16:evae108. [PMID: 38758096 PMCID: PMC11140417 DOI: 10.1093/gbe/evae108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/18/2024] Open
Abstract
The coppery titi monkey (Plecturocebus cupreus) is an emerging nonhuman primate model system for behavioral and neurobiological research. At the same time, the almost entire absence of genomic resources for the species has hampered insights into the genetic underpinnings of the phenotypic traits of interest. To facilitate future genotype-to-phenotype studies, we here present a high-quality, fully annotated de novo genome assembly for the species with chromosome-length scaffolds spanning the autosomes and chromosome X (scaffold N50 = 130.8 Mb), constructed using data obtained from several orthologous short- and long-read sequencing and scaffolding techniques. With a base-level accuracy of ∼99.99% in chromosome-length scaffolds as well as benchmarking universal single-copy ortholog and k-mer completeness scores of >99.0% and 95.1% at the genome level, this assembly represents one of the most complete Pitheciidae genomes to date, making it an invaluable resource for comparative evolutionary genomics research to improve our understanding of lineage-specific changes underlying adaptive traits as well as deleterious mutations associated with disease.
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Affiliation(s)
- Susanne P Pfeifer
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Alexander Baxter
- Department of Psychology, University of California, Davis, CA, USA
- California National Primate Research Center, Neuroscience and Behavior Division, Davis, CA, USA
| | - Logan E Savidge
- Department of Psychology, University of California, Davis, CA, USA
- California National Primate Research Center, Neuroscience and Behavior Division, Davis, CA, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Karen L Bales
- Department of Psychology, University of California, Davis, CA, USA
- California National Primate Research Center, Neuroscience and Behavior Division, Davis, CA, USA
- Department of Neurobiology, Physiology, and Behavior, University of California, Davis, CA, USA
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Zhou Y, Tian J, Jiang H, Han M, Wang Y, Lu J. Phylogeography and demographic history of macaques, fascicularis species group, in East Asia: Inferred from multiple genomic markers. Mol Phylogenet Evol 2024; 194:108042. [PMID: 38401812 DOI: 10.1016/j.ympev.2024.108042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 02/06/2024] [Accepted: 02/18/2024] [Indexed: 02/26/2024]
Abstract
Climate changes at larger scales have influenced dispersal and range shifts of many taxa in East Asia. The fascicularis species group of macaques is composed of four species and is widely distributed in Southeast and East Asia. However, its phylogeography and demographic histories are currently poorly understood. Herein, we assembled autosomal, mitogenome, and Y-chromosome data for 106 individuals, and combined them with 174 mtDNA dloop haplotypes of this species group, with particular focus on the demographic histories and dispersal routes of Macaca fuscata, M. cyclopis, and M. mulatta. The results showed: (1) three monophyletic clades for M. fuscata, M. cyclopis, and M. mulatta based on the multiple genomics analyses; (2) the disparate demographic trajectories of the three species after their split ∼1.0 Ma revealed that M. cyclopis and M. fuscata were derived from an ancestral M. mulatta population; (3) the speciation time of M. cyclopis was later than that of M. fuscata, and their divergence time occurred at the beginning of "Ryukyu Coral Sea Stage" (1.0-0.2 Ma) when the East China Sea land bridge was completely submerged by the sea level rose; and (4) the three parallel rivers (Nujiang, Lancangjiang, and Jinshajiang) of Southwestern China divided M. mulatta into Indian and Chinese genetic populations ∼200 kya. These results shed light on understanding not only the evolutionary history of the fascicularis species group but also the formation mechanism of faunal diversity in East Asia during the Pleistocene.
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Affiliation(s)
- Yanyan Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Jundong Tian
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Haijun Jiang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Mengya Han
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Yuwei Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China
| | - Jiqi Lu
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; Institute of Biodiversity and Ecology, Zhengzhou University, Zhengzhou 450001, China.
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5
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Foley RA, Mirazón Lahr M. Ghosts of extinct apes: genomic insights into African hominid evolution. Trends Ecol Evol 2024; 39:456-466. [PMID: 38302324 DOI: 10.1016/j.tree.2023.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 12/13/2023] [Accepted: 12/22/2023] [Indexed: 02/03/2024]
Abstract
We are accustomed to regular announcements of new hominin fossils. There are now some 6000 hominin fossils, and up to 31 species. However, where are the announcements of African ape fossils? The answer is that there are almost none. Our knowledge of African ape evolution is based entirely on genomic analyses, which show that extant diversity is very young. This contrasts with the extensive and deep diversity of hominins known from fossils. Does this difference point to low and late diversification of ape lineages, or high rates of extinction? The comparative evolutionary dynamics of African hominids are central to interpreting living ape adaptations, as well as understanding the patterns of hominin evolution and the nature of the last common ancestor.
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Affiliation(s)
- Robert A Foley
- Leverhulme Centre for Human Evolutionary Studies, Department of Archaeology, University of Cambridge, The Henry Wellcome Building, Fitzwilliam Street, Cambridge, CB2 1QH, UK.
| | - Marta Mirazón Lahr
- Leverhulme Centre for Human Evolutionary Studies, Department of Archaeology, University of Cambridge, The Henry Wellcome Building, Fitzwilliam Street, Cambridge, CB2 1QH, UK
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6
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Mao Y, Harvey WT, Porubsky D, Munson KM, Hoekzema K, Lewis AP, Audano PA, Rozanski A, Yang X, Zhang S, Yoo D, Gordon DS, Fair T, Wei X, Logsdon GA, Haukness M, Dishuck PC, Jeong H, Del Rosario R, Bauer VL, Fattor WT, Wilkerson GK, Mao Y, Shi Y, Sun Q, Lu Q, Paten B, Bakken TE, Pollen AA, Feng G, Sawyer SL, Warren WC, Carbone L, Eichler EE. Structurally divergent and recurrently mutated regions of primate genomes. Cell 2024; 187:1547-1562.e13. [PMID: 38428424 PMCID: PMC10947866 DOI: 10.1016/j.cell.2024.01.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 11/26/2023] [Accepted: 01/31/2024] [Indexed: 03/03/2024]
Abstract
We sequenced and assembled using multiple long-read sequencing technologies the genomes of chimpanzee, bonobo, gorilla, orangutan, gibbon, macaque, owl monkey, and marmoset. We identified 1,338,997 lineage-specific fixed structural variants (SVs) disrupting 1,561 protein-coding genes and 136,932 regulatory elements, including the most complete set of human-specific fixed differences. We estimate that 819.47 Mbp or ∼27% of the genome has been affected by SVs across primate evolution. We identify 1,607 structurally divergent regions wherein recurrent structural variation contributes to creating SV hotspots where genes are recurrently lost (e.g., CARD, C4, and OLAH gene families) and additional lineage-specific genes are generated (e.g., CKAP2, VPS36, ACBD7, and NEK5 paralogs), becoming targets of rapid chromosomal diversification and positive selection (e.g., RGPD gene family). High-fidelity long-read sequencing has made these dynamic regions of the genome accessible for sequence-level analyses within and between primate species.
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Affiliation(s)
- Yafei Mao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Peter A Audano
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Allison Rozanski
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Xiangyu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David S Gordon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Tyler Fair
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA
| | - Xiaoxi Wei
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Ricardo Del Rosario
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vanessa L Bauer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Bouder, CO, USA
| | - Will T Fattor
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Bouder, CO, USA
| | - Gregory K Wilkerson
- Department of Veterinary Sciences, Michale E. Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA; Department of Clinical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Yuxiang Mao
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Qiang Sun
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science & Intelligence Technology, Chinese Academy of Sciences, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China
| | - Qing Lu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Alex A Pollen
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sara L Sawyer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Bouder, CO, USA
| | - Wesley C Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA; Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA; Institute of Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Lucia Carbone
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA; Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA; Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
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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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8
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Casteleyn C, Wydooghe E, Bakker J. Osteology of the Hamadryas Baboon ( Papio hamadryas). Animals (Basel) 2023; 13:3124. [PMID: 37835730 PMCID: PMC10571843 DOI: 10.3390/ani13193124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/02/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
Besides living as a free-ranging primate in the horn of Africa and the Arabian Peninsula, the hamadryas baboon has an important place in zoos and can be found in biomedical research centers worldwide. To be valuable as a non-human primate laboratory model for man, its anatomy should be portrayed in detail, allowing for the correct interpretation and translation of obtained research results. Reviewing the literature on the use of the baboon in biomedical research revealed that very limited anatomical works on this species are available. Anatomical atlases are incomplete, use archaic nomenclature and fail to provide high-definition color photographs. Therefore, the skeletons of two male hamadryas baboons were prepared by manually removing as much soft tissues as possible followed by maceration in warm water to which enzyme-containing washing powder was added. The bones were bleached with hydrogen peroxide and degreased by means of methylene chloride. Photographs of the various bones were taken, and the anatomical structures were identified using the latest version of the Nomina Anatomica Veterinaria. As such, the present article shows 31 annotated multipanel figures. The skeleton of the hamadryas baboon generally parallels the human skeleton, but some remarkable differences have been noticed. If these are taken into consideration when evaluating the results of experiments using the hamadryas baboon, justified conclusions can be drawn.
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Affiliation(s)
- Christophe Casteleyn
- Department of Morphology, Medical Imaging, Orthopedics, Physiotherapy and Nutrition, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium;
- Department of Veterinary Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Estée Wydooghe
- Department of Morphology, Medical Imaging, Orthopedics, Physiotherapy and Nutrition, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium;
| | - Jaco Bakker
- Animal Science Department, Biomedical Primate Research Centre, Lange Kleiweg, 161, 2288GJ Rijswijk, The Netherlands;
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9
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Grathwol F, Roos C, Zinner D, Hume B, Porcier SM, Berthet D, Cuisin J, Merker S, Ottoni C, Van Neer W, Dominy NJ, Kopp GH. Adulis and the transshipment of baboons during classical antiquity. eLife 2023; 12:e87513. [PMID: 37767965 PMCID: PMC10597581 DOI: 10.7554/elife.87513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 09/27/2023] [Indexed: 09/29/2023] Open
Abstract
Adulis, located on the Red Sea coast in present-day Eritrea, was a bustling trading centre between the first and seventh centuries CE. Several classical geographers-Agatharchides of Cnidus, Pliny the Elder, Strabo-noted the value of Adulis to Greco-Roman Egypt, particularly as an emporium for living animals, including baboons (Papio spp.). Though fragmentary, these accounts predict the Adulite origins of mummified baboons in Ptolemaic catacombs, while inviting questions on the geoprovenance of older (Late Period) baboons recovered from Gabbanat el-Qurud ('Valley of the Monkeys'), Egypt. Dated to ca. 800-540 BCE, these animals could extend the antiquity of Egyptian-Adulite trade by as much as five centuries. Previously, Dominy et al. (2020) used stable isotope analysis to show that two New Kingdom specimens of Papio hamadryas originate from the Horn of Africa. Here, we report the complete mitochondrial genomes from a mummified baboon from Gabbanat el-Qurud and 14 museum specimens with known provenance together with published georeferenced mitochondrial sequence data. Phylogenetic assignment connects the mummified baboon to modern populations of P. hamadryas in Eritrea, Ethiopia, and eastern Sudan. This result, assuming geographical stability of phylogenetic clades, corroborates Greco-Roman historiographies by pointing toward present-day Eritrea, and by extension Adulis, as a source of baboons for Late Period Egyptians. It also establishes geographic continuity with baboons from the fabled Land of Punt (Dominy et al., 2020), giving weight to speculation that Punt and Adulis were essentially the same trading centres separated by a thousand years of history.
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Affiliation(s)
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate ResearchGöttingenGermany
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate ResearchGöttingenGermany
- Department of Primate Cognition, Georg-August-University of GöttingenGöttingenGermany
- Leibniz-ScienceCampus Primate CognitionGöttingenGermany
| | - Benjamin Hume
- Department of Biology, University of KonstanzKonstanzGermany
- SequAna – Sequencing Analysis Core Facility, University of KonstanzKonstanzGermany
| | - Stéphanie M Porcier
- Laboratoire CNRS ASM « Archéologie des Sociétés Méditerranéennes » (UMR 5140), Université Paul-Valéry, LabEx ArchimedeMontpellierFrance
| | | | | | - Stefan Merker
- Department of Zoology, State Museum of Natural History StuttgartStuttgartGermany
| | - Claudio Ottoni
- Centre of Molecular Anthropology for Ancient DNA Studies, Department of Biology, University of Rome Tor VergataRomeItaly
| | - Wim Van Neer
- Royal Belgian Institute of Natural SciencesBrusselsBelgium
- Department of Biology, KU LeuvenLeuvenBelgium
| | - Nathaniel J Dominy
- Departments of Anthropology and Biological Sciences, Dartmouth CollegeHanoverUnited States
- Zukunftskolleg, University of KonstanzKonstanzGermany
| | - Gisela H Kopp
- Department of Biology, University of KonstanzKonstanzGermany
- Zukunftskolleg, University of KonstanzKonstanzGermany
- Department of Migration, Max Planck Institute of Animal BehaviorKonstanzGermany
- Centre for the Advanced Study of Collective Behaviour, University of KonstanzKonstanzGermany
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10
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Aung T, Hill AK, Pfefferle D, McLester E, Fuller J, Lawrence JM, Garcia-Nisa I, Kendal RL, Petersdorf M, Higham JP, Galat G, Lameira AR, Apicella CL, Barelli C, Glenn ME, Ramos-Fernandez G, Puts DA. Group size and mating system predict sex differences in vocal fundamental frequency in anthropoid primates. Nat Commun 2023; 14:4069. [PMID: 37429846 PMCID: PMC10333282 DOI: 10.1038/s41467-023-39535-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 06/16/2023] [Indexed: 07/12/2023] Open
Abstract
Vocalizations differ substantially between the sexes in many primates, and low-frequency male vocalizations may be favored by sexual selection because they intimidate rivals and/or attract mates. Sexual dimorphism in fundamental frequency may be more pronounced in species with more intense male mating competition and in those with large group size, where social knowledge is limited and efficient judgment of potential mates and competitors is crucial. These non-mutually exclusive explanations have not been tested simultaneously across primate species. In a sample of vocalizations (n = 1914 recordings) across 37 anthropoid species, we investigated whether fundamental frequency dimorphism evolved in association with increased intensity of mating competition (H1), large group size (H2), multilevel social organization (H3), a trade-off against the intensity of sperm competition (H4), and/or poor acoustic habitats (H5), controlling for phylogeny and body size dimorphism. We show that fundamental frequency dimorphism increased in evolutionary transitions towards larger group size and polygyny. Findings suggest that low-frequency male vocalizations in primates may have been driven by selection to win mating opportunities by avoiding costly fights and may be more important in larger groups, where limited social knowledge affords advantages to rapid assessment of status and threat potential via conspicuous secondary sexual characteristics.
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Affiliation(s)
- Toe Aung
- Department of Anthropology, Pennsylvania State University, University Park, PA, USA
- Psychology and Counseling Department, Immaculata University, Immaculata, PA, USA
| | - Alexander K Hill
- Department of Anthropology, University of Washington, Seattle, WA, USA
| | - Dana Pfefferle
- Welfare and Cognition Group, Cognitive Neuroscience Laboratory, German Primate Center - Leibniz Institute for Primate Research, Goettingen, Germany & Leibniz-ScienceCampus Primate Cognition, German Primate Center & University of Goettingen, Goettingen, Germany
| | - Edward McLester
- Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Konstanz, Germany
| | - James Fuller
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY, USA
| | - Jenna M Lawrence
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY, USA
| | | | | | | | - James P Higham
- Department of Anthropology, New York University, 25 Waverly Place, New York, NY, USA
| | - Gérard Galat
- IRD (French National Research Institute for Sustainable Development), Montpellier, France
| | | | - Coren L Apicella
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Claudia Barelli
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Mary E Glenn
- Department of Anthropology, California State Polytechnic University Humboldt, Arcata, CA, USA
| | - Gabriel Ramos-Fernandez
- Institute for Research on Applied Mathematics and Systems and C3-Centro de Ciencias de la Complejidad, Universidad Nacional Autonoma de Mexico, Mexico, Mexico City, Mexico
| | - David A Puts
- Department of Anthropology, Pennsylvania State University, University Park, PA, USA.
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11
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Sørensen EF, Harris RA, Zhang L, Raveendran M, Kuderna LFK, Walker JA, Storer JM, Kuhlwilm M, Fontsere C, Seshadri L, Bergey CM, Burrell AS, Bergman J, Phillips-Conroy JE, Shiferaw F, Chiou KL, Chuma IS, Keyyu JD, Fischer J, Gingras MC, Salvi S, Doddapaneni H, Schierup MH, Batzer MA, Jolly CJ, Knauf S, Zinner D, Farh KKH, Marques-Bonet T, Munch K, Roos C, Rogers J. Genome-wide coancestry reveals details of ancient and recent male-driven reticulation in baboons. Science 2023; 380:eabn8153. [PMID: 37262153 DOI: 10.1126/science.abn8153] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 09/27/2022] [Indexed: 06/03/2023]
Abstract
Baboons (genus Papio) are a morphologically and behaviorally diverse clade of catarrhine monkeys that have experienced hybridization between phenotypically and genetically distinct phylogenetic species. We used high-coverage whole-genome sequences from 225 wild baboons representing 19 geographic localities to investigate population genomics and interspecies gene flow. Our analyses provide an expanded picture of evolutionary reticulation among species and reveal patterns of population structure within and among species, including differential admixture among conspecific populations. We describe the first example of a baboon population with a genetic composition that is derived from three distinct lineages. The results reveal processes, both ancient and recent, that produced the observed mismatch between phylogenetic relationships based on matrilineal, patrilineal, and biparental inheritance. We also identified several candidate genes that may contribute to species-specific phenotypes.
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Affiliation(s)
- Erik F Sørensen
- Bioinformatics Research Centre, Aarhus University, 8000 Aarhus, Denmark
| | - R Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Liye Zhang
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lukas F K Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Artificial Intelligence Lab, Illumina Inc., San Diego, CA 92122, USA
| | - Jerilyn A Walker
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | | | - Martin Kuhlwilm
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, 1030 Vienna, Austria
| | - Claudia Fontsere
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Lakshmi Seshadri
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Christina M Bergey
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
| | - Andrew S Burrell
- Department of Anthropology, New York University, New York, NY 10003, USA
| | - Juraj Bergman
- Bioinformatics Research Centre, Aarhus University, 8000 Aarhus, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, 8000 Aarhus C, Denmark
| | - Jane E Phillips-Conroy
- Department of Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
- Department of Anthropology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | | | - 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
| | | | | | - Julia Fischer
- Cognitive Ethology Laboratory, German 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
| | - Marie-Claude Gingras
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sejal Salvi
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Harshavardhan Doddapaneni
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mikkel H Schierup
- Bioinformatics Research Centre, Aarhus University, 8000 Aarhus, Denmark
| | - Mark A Batzer
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Clifford J Jolly
- Department of Anthropology, New York University, New York, NY 10003, USA
| | - Sascha Knauf
- Institute of International Animal Health/One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, 17493 Greifswald-Insel Riems, Germany
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, German 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
| | - Kyle K-H Farh
- Artificial Intelligence Lab, Illumina Inc., San Diego, CA 92122, USA
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluis Companys, 23, 08010 Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Baldiri i Reixac 4, 08028 Barcelona, Spain
- Institut Catala de Paleontologia Miquel Crusafont, Universitat Autonoma de Barcelona, Edifici ICTA-ICP, cl Columnes s/n, 08193 Cerdanyola del Valles, Barcelona, Spain
| | - Kasper Munch
- Bioinformatics Research Centre, Aarhus University, 8000 Aarhus, Denmark
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Gene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
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12
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Zhang BL, Chen W, Wang Z, Pang W, Luo MT, Wang S, Shao Y, He WQ, Deng Y, Zhou L, Chen J, Yang MM, Wu Y, Wang L, Fernández-Bellon H, Molloy S, Meunier H, Wanert F, Kuderna L, Marques-Bonet T, Roos C, Qi XG, Li M, Liu Z, Schierup MH, Cooper DN, Liu J, Zheng YT, Zhang G, Wu DD. Comparative genomics reveals the hybrid origin of a macaque group. SCIENCE ADVANCES 2023; 9:eadd3580. [PMID: 37262187 PMCID: PMC10413639 DOI: 10.1126/sciadv.add3580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 01/25/2023] [Indexed: 06/03/2023]
Abstract
Although species can arise through hybridization, compelling evidence for hybrid speciation has been reported only rarely in animals. Here, we present phylogenomic analyses on genomes from 12 macaque species and show that the fascicularis group originated from an ancient hybridization between the sinica and silenus groups ~3.45 to 3.56 million years ago. The X chromosomes and low-recombination regions exhibited equal contributions from each parental lineage, suggesting that they were less affected by subsequent backcrossing and hence could have played an important role in maintaining hybrid integrity. We identified many reproduction-associated genes that could have contributed to the development of the mixed sexual phenotypes characteristic of the fascicularis group. The phylogeny within the silenus group was also resolved, and functional experimentation confirmed that all extant Western silenus species are susceptible to HIV-1 infection. Our study provides novel insights into macaque evolution and reveals a hybrid speciation event that has occurred only very rarely in primates.
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Affiliation(s)
- Bao-Lin Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Wu Chen
- Guangzhou Zoo and Guangzhou Wildlife Research Center, Guangzhou 510070, China
| | - Zefu Wang
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, China
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
| | - Wei Pang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Meng-Ting Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Wen-Qiang He
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Yuan Deng
- BGI-Shenzhen, Shenzhen 518083, China
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen DK-2100, Denmark
| | - Long Zhou
- Center for Evolutionary and Organismal Biology and Women’s Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
| | | | - Min-Min Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Yajiang Wu
- Guangzhou Zoo and Guangzhou Wildlife Research Center, Guangzhou 510070, China
| | - Lu Wang
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an, China
| | | | | | - Hélène Meunier
- Centre de Primatologie, de l'Université de Strasbourg, Niederhausbergen, France
- Laboratoire de Neurosciences Cognitives et Adaptatives, UMR 7364, Université de Strasbourg, Strasbourg, France
| | - Fanélie Wanert
- Plateforme SILABE, Université de Strasbourg, Niederhausbergen, France
| | - Lukas Kuderna
- Genome Interpretation Department, Illumina Inc., Foster City, CA, USA
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, Barcelona 08003, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, Barcelona 08010, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, Barcelona 08028, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Christian Roos
- Primate Genetics Laboratory, German Primate Center, Göttingen, Germany
- Gene Bank of Primates, German Primate Center, Göttingen, Germany
| | - Xiao-Guang Qi
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi’an, China
| | - Ming Li
- 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 100048, China
| | | | - David N. Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Jianquan Liu
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, China
- State Key Laboratory of Grassland Agro-ecosystem, Institute of Innovation Ecology and College of Life Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650107, China
| | - Guojie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Evolutionary and Organismal Biology and Women’s Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
- Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center and National Research Facility for Phenotypic and Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650107, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
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13
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Shao Y, Zhou L, Li F, Zhao L, Zhang BL, Shao F, Chen JW, Chen CY, Bi X, Zhuang XL, Zhu HL, Hu J, Sun Z, Li X, Wang D, Rivas-González I, Wang S, Wang YM, Chen W, Li G, Lu HM, Liu Y, Kuderna LFK, Farh KKH, Fan PF, Yu L, Li M, Liu ZJ, Tiley GP, Yoder AD, Roos C, Hayakawa T, Marques-Bonet T, Rogers J, Stenson PD, Cooper DN, Schierup MH, Yao YG, Zhang YP, Wang W, Qi XG, Zhang G, Wu DD. Phylogenomic analyses provide insights into primate evolution. Science 2023; 380:913-924. [PMID: 37262173 DOI: 10.1126/science.abn6919] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/26/2023] [Indexed: 06/03/2023]
Abstract
Comparative analysis of primate genomes within a phylogenetic context is essential for understanding the evolution of human genetic architecture and primate diversity. We present such a study of 50 primate species spanning 38 genera and 14 families, including 27 genomes first reported here, with many from previously less well represented groups, the New World monkeys and the Strepsirrhini. Our analyses reveal heterogeneous rates of genomic rearrangement and gene evolution across primate lineages. Thousands of genes under positive selection in different lineages play roles in the nervous, skeletal, and digestive systems and may have contributed to primate innovations and adaptations. Our study reveals that many key genomic innovations occurred in the Simiiformes ancestral node and may have had an impact on the adaptive radiation of the Simiiformes and human evolution.
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Affiliation(s)
- Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Long Zhou
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Fang Li
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- Institute of Animal Sex and Development, ZhejiangWanli University, Ningbo 315100, China
| | - Lan Zhao
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Bao-Lin Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Feng Shao
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University School of Life Sciences, Chongqing 400715, China
| | | | - Chun-Yan Chen
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China
| | - Xupeng Bi
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiao-Lin Zhuang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming 650204, China
| | | | - Jiang Hu
- Grandomics Biosciences, Beijing 102206, China
| | - Zongyi Sun
- Grandomics Biosciences, Beijing 102206, China
| | - Xin Li
- Grandomics Biosciences, Beijing 102206, China
| | - Depeng Wang
- Grandomics Biosciences, Beijing 102206, China
| | | | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Yun-Mei Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
| | - Wu Chen
- Guangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou 510070, China
| | - Gang Li
- College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Hui-Meng Lu
- School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Yang Liu
- College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China
| | - Lukas F K Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, 08003 Barcelona, Spain
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA 92122, USA
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA 92122, USA
| | - Peng-Fei Fan
- School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Ming Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhi-Jin Liu
- College of Life Sciences, Capital Normal University, Beijing 100048, China
| | - George P Tiley
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Anne D Yoder
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Takashi Hayakawa
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan
- Japan Monkey Centre, Inuyama, Aichi 484-0081, Japan
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, 08003 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010 Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Peter D Stenson
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | | | - Yong-Gang Yao
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming 650204, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
| | - Xiao-Guang Qi
- Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Guojie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center of Evolutionary & Organismal Biology, and Women's Hospital at Zhejiang University School of Medicine, Hangzhou 310058, China
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou 311121, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650204, China
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14
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Sørensen EF, Harris RA, Zhang L, Raveendran M, Kuderna LFK, Walker JA, Storer JM, Kuhlwilm M, Fontsere C, Seshadri L, Bergey CM, Burrell AS, Bergmann J, Phillips-Conroy JE, Shiferaw F, Chiou KL, Chuma IS, Keyyu JD, Fischer J, Gingras MC, Salvi S, Doddapaneni H, Schierup MH, Batzer MA, Jolly CJ, Knauf S, Zinner D, Farh KKH, Marques-Bonet T, Munch K, Roos C, Rogers J. Genome-wide coancestry reveals details of ancient and recent male-driven reticulation in baboons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.02.539112. [PMID: 37205419 PMCID: PMC10187195 DOI: 10.1101/2023.05.02.539112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Baboons (genus Papio ) are a morphologically and behaviorally diverse clade of catarrhine monkeys that have experienced hybridization between phenotypically and genetically distinct phylogenetic species. We used high coverage whole genome sequences from 225 wild baboons representing 19 geographic localities to investigate population genomics and inter-species gene flow. Our analyses provide an expanded picture of evolutionary reticulation among species and reveal novel patterns of population structure within and among species, including differential admixture among conspecific populations. We describe the first example of a baboon population with a genetic composition that is derived from three distinct lineages. The results reveal processes, both ancient and recent, that produced the observed mismatch between phylogenetic relationships based on matrilineal, patrilineal, and biparental inheritance. We also identified several candidate genes that may contribute to species-specific phenotypes. One-Sentence Summary Genomic data for 225 baboons reveal novel sites of inter-species gene flow and local effects due to differences in admixture.
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15
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Kuang W, Zinner D, Li Y, Yao X, Roos C, Yu L. Recent Advances in Genetics and Genomics of Snub-Nosed Monkeys ( Rhinopithecus) and Their Implications for Phylogeny, Conservation, and Adaptation. Genes (Basel) 2023; 14:genes14050985. [PMID: 37239345 DOI: 10.3390/genes14050985] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/25/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023] Open
Abstract
The snub-nosed monkey genus Rhinopithecus (Colobinae) comprises five species (Rhinopithecus roxellana, Rhinopithecus brelichi, Rhinopithecus bieti, Rhinopithecus strykeri, and Rhinopithecus avunculus). They are range-restricted species occurring only in small areas in China, Vietnam, and Myanmar. All extant species are listed as endangered or critically endangered by the International Union for Conservation of Nature (IUCN) Red List, all with decreasing populations. With the development of molecular genetics and the improvement and cost reduction in whole-genome sequencing, knowledge about evolutionary processes has improved largely in recent years. Here, we review recent major advances in snub-nosed monkey genetics and genomics and their impact on our understanding of the phylogeny, phylogeography, population genetic structure, landscape genetics, demographic history, and molecular mechanisms of adaptation to folivory and high altitudes in this primate genus. We further discuss future directions in this research field, in particular how genomic information can contribute to the conservation of snub-nosed monkeys.
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Affiliation(s)
- Weimin Kuang
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-University of Göttingen, 37077 Göttingen, Germany
- Leibniz-Science Campus Primate Cognition, 37077 Göttingen, Germany
| | - Yuan Li
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
| | - Xueqin Yao
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
| | - Christian Roos
- Gene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming 650500, China
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16
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Fogel AS, Oduor PO, Nyongesa AW, Kimwele CN, Alberts SC, Archie EA, Tung J. Ecology and age, but not genetic ancestry, predict fetal loss in a wild baboon hybrid zone. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 180:618-632. [PMID: 38445762 DOI: 10.1002/ajpa.24686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/08/2022] [Accepted: 12/15/2022] [Indexed: 03/07/2024]
Abstract
OBJECTIVES Pregnancy failure represents a major fitness cost for any mammal, particularly those with slow life histories such as primates. Here, we quantified the risk of fetal loss in wild hybrid baboons, including genetic, ecological, and demographic sources of variance. We were particularly interested in testing the hypothesis that hybridization increases fetal loss rates. Such an effect would help explain how baboons may maintain genetic and phenotypic integrity despite interspecific gene flow. MATERIALS AND METHODS We analyzed outcomes for 1020 pregnancies observed over 46 years in a natural yellow baboon-anubis baboon hybrid zone. Fetal losses and live births were scored based on records of female reproductive state and the appearance of live neonates. We modeled the probability of fetal loss as a function of a female's genetic ancestry (the proportion of her genome estimated to be descended from anubis [vs. yellow] ancestors), age, number of previous fetal losses, dominance rank, group size, climate, and habitat quality using binomial mixed effects models. RESULTS Female genetic ancestry did not predict fetal loss. Instead, the risk of fetal loss is elevated for very young and very old females. Fetal loss is most robustly predicted by ecological factors, including poor habitat quality prior to a home range shift and extreme heat during pregnancy. DISCUSSION Our results suggest that gene flow between yellow and anubis baboons is not impeded by an increased risk of fetal loss for hybrid females. Instead, ecological conditions and female age are key determinants of this component of female reproductive success.
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Affiliation(s)
- Arielle S Fogel
- University Program in Genetics and Genomics, Duke University, Durham, North Carolina, USA
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, USA
| | - Peter O Oduor
- Department of Veterinary Anatomy and Physiology, University of Nairobi, Nairobi, Kenya
| | - Albert W Nyongesa
- Department of Veterinary Anatomy and Physiology, University of Nairobi, Nairobi, Kenya
| | - Charles N Kimwele
- Department of Veterinary Anatomy and Physiology, University of Nairobi, Nairobi, Kenya
| | - Susan C Alberts
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, USA
- Department of Biology, Duke University, Durham, North Carolina, USA
- Duke Population Research Institute, Duke University, Durham, North Carolina, USA
| | - Elizabeth A Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA
| | - Jenny Tung
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, USA
- Department of Biology, Duke University, Durham, North Carolina, USA
- Duke Population Research Institute, Duke University, Durham, North Carolina, USA
- Canadian Institute for Advanced Research, Toronto, Ontario, Canada
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Saxony, Germany
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17
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Mao Y, Harvey WT, Porubsky D, Munson KM, Hoekzema K, Lewis AP, Audano PA, Rozanski A, Yang X, Zhang S, Gordon DS, Wei X, Logsdon GA, Haukness M, Dishuck PC, Jeong H, Del Rosario R, Bauer VL, Fattor WT, Wilkerson GK, Lu Q, Paten B, Feng G, Sawyer SL, Warren WC, Carbone L, Eichler EE. Structurally divergent and recurrently mutated regions of primate genomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.07.531415. [PMID: 36945442 PMCID: PMC10028934 DOI: 10.1101/2023.03.07.531415] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
To better understand the pattern of primate genome structural variation, we sequenced and assembled using multiple long-read sequencing technologies the genomes of eight nonhuman primate species, including New World monkeys (owl monkey and marmoset), Old World monkey (macaque), Asian apes (orangutan and gibbon), and African ape lineages (gorilla, bonobo, and chimpanzee). Compared to the human genome, we identified 1,338,997 lineage-specific fixed structural variants (SVs) disrupting 1,561 protein-coding genes and 136,932 regulatory elements, including the most complete set of human-specific fixed differences. Across 50 million years of primate evolution, we estimate that 819.47 Mbp or ~27% of the genome has been affected by SVs based on analysis of these primate lineages. We identify 1,607 structurally divergent regions (SDRs) wherein recurrent structural variation contributes to creating SV hotspots where genes are recurrently lost (CARDs, ABCD7, OLAH) and new lineage-specific genes are generated (e.g., CKAP2, NEK5) and have become targets of rapid chromosomal diversification and positive selection (e.g., RGPDs). High-fidelity long-read sequencing has made these dynamic regions of the genome accessible for sequence-level analyses within and between primate species for the first time.
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Affiliation(s)
- Yafei Mao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Peter A Audano
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Allison Rozanski
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Xiangyu Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - David S Gordon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Xiaoxi Wei
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Philip C Dishuck
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Ricardo Del Rosario
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vanessa L Bauer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Will T Fattor
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Gregory K Wilkerson
- Department of Veterinary Sciences, Michale E. Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Qing Lu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sara L Sawyer
- BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Wesley C Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA
- Institute of Data Science and Informatics, University of Missouri, Columbia, MO, USA
| | - Lucia Carbone
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
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18
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Kopp GH, Sithaldeen R, Trede F, Grathwol F, Roos C, Zinner D. A Comprehensive Overview of Baboon Phylogenetic History. Genes (Basel) 2023; 14:genes14030614. [PMID: 36980887 PMCID: PMC10048742 DOI: 10.3390/genes14030614] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/13/2023] [Accepted: 02/17/2023] [Indexed: 03/05/2023] Open
Abstract
Baboons (genus Papio) are an intriguing study system to investigate complex evolutionary processes and the evolution of social systems. An increasing number of studies over the last 20 years has shown that considerable incongruences exist between phylogenies based on morphology, mitochondrial, and nuclear sequence data of modern baboons, and hybridization and introgression have been suggested as the main drivers of these patterns. Baboons, therefore, present an excellent opportunity to study these phenomena and their impact on speciation. Advances both in geographic and genomic coverage provide increasing details on the complexity of the phylogeography of baboons. Here, we compile the georeferenced genetic data of baboons and review the current knowledge on baboon phylogeny, discuss the evolutionary processes that may have shaped the patterns that we observe today, and propose future avenues for research.
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Affiliation(s)
- Gisela H. Kopp
- Zukunftskolleg, University of Konstanz, 78457 Konstanz, Germany
- Department of Biology, University of Konstanz, 78457 Konstanz, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78457 Konstanz, Germany
- Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany
- Correspondence:
| | - Riashna Sithaldeen
- Academic Development Programme, Centre for Higher Education and Development, University of Cape Town, Cape Town 7700, South Africa
| | - Franziska Trede
- Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Franziska Grathwol
- Department of Biology, University of Konstanz, 78457 Konstanz, Germany
- Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-University, 37073 Göttingen, Germany
- Leibniz-ScienceCampus Primate Cognition, 37077 Göttingen, Germany
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19
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Theissinger K, Fernandes C, Formenti G, Bista I, Berg PR, Bleidorn C, Bombarely A, Crottini A, Gallo GR, Godoy JA, Jentoft S, Malukiewicz J, Mouton A, Oomen RA, Paez S, Palsbøll PJ, Pampoulie C, Ruiz-López MJ, Secomandi S, Svardal H, Theofanopoulou C, de Vries J, Waldvogel AM, Zhang G, Jarvis ED, Bálint M, Ciofi C, Waterhouse RM, Mazzoni CJ, Höglund J. How genomics can help biodiversity conservation. Trends Genet 2023:S0168-9525(23)00020-3. [PMID: 36801111 DOI: 10.1016/j.tig.2023.01.005] [Citation(s) in RCA: 50] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/08/2022] [Accepted: 01/19/2023] [Indexed: 02/18/2023]
Abstract
The availability of public genomic resources can greatly assist biodiversity assessment, conservation, and restoration efforts by providing evidence for scientifically informed management decisions. Here we survey the main approaches and applications in biodiversity and conservation genomics, considering practical factors, such as cost, time, prerequisite skills, and current shortcomings of applications. Most approaches perform best in combination with reference genomes from the target species or closely related species. We review case studies to illustrate how reference genomes can facilitate biodiversity research and conservation across the tree of life. We conclude that the time is ripe to view reference genomes as fundamental resources and to integrate their use as a best practice in conservation genomics.
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Affiliation(s)
- Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Carlos Fernandes
- CE3C - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal; Faculdade de Psicologia, Universidade de Lisboa, Alameda da Universidade, 1649-013 Lisboa, Portugal
| | - Giulio Formenti
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Iliana Bista
- Naturalis Biodiversity Center, Darwinweg 2, 2333, CR, Leiden, The Netherlands; Wellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Paul R Berg
- NIVA - Norwegian Institute for Water Research, Økernveien, 94, 0579 Oslo, Norway; Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Christoph Bleidorn
- University of Göttingen, Department of Animal Evolution and Biodiversity, Untere Karspüle, 2, 37073, Göttingen, Germany
| | | | - Angelica Crottini
- CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Rua Padre Armando Quintas, 7, 4485-661, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | - José A Godoy
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Joanna Malukiewicz
- Primate Genetics Laborator, German Primate Center, Kellnerweg 4, 37077, Göttingen, Germany
| | - Alice Mouton
- InBios - Conservation Genetics Lab, University of Liege, Chemin de la Vallée 4, 4000, Liege, Belgium
| | - Rebekah A Oomen
- Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Sadye Paez
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Per J Palsbøll
- Groningen Institute of Evolutionary Life Sciences, University of Groningen, Nijenborgh, 9747, AG, Groningen, The Netherlands; Center for Coastal Studies, 5 Holway Avenue, Provincetown, MA 02657, USA
| | - Christophe Pampoulie
- Marine and Freshwater Research Institute, Fornubúðir, 5,220, Hanafjörður, Iceland
| | - María J Ruiz-López
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Hannes Svardal
- Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Antwerp, Belgium
| | - Constantina Theofanopoulou
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA; Hunter College, City University of New York, NY, USA
| | - Jan de Vries
- University of Goettingen, Institute for Microbiology and Genetics, Department of Applied Bioinformatics, Goettingen Center for Molecular Biosciences (GZMB), Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077, Goettingen, Germany
| | - Ann-Marie Waldvogel
- Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, D-50674, Cologne, Germany
| | - Guojie Zhang
- Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, 310058, China; Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Erich D Jarvis
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Claudio Ciofi
- University of Florence, Department of Biology, Via Madonna del Piano 6, Sesto Fiorentino, (FI) 50019, Italy
| | - Robert M Waterhouse
- University of Lausanne, Department of Ecology and Evolution, Le Biophore, UNIL-Sorge, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Camila J Mazzoni
- Leibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Str 17, 10315 Berlin, Germany; Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Koenigin-Luise-Str 6-8, 14195 Berlin, Germany
| | - Jacob Höglund
- Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75246, Uppsala, Sweden.
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20
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Riojas AM, Spradling-Reeves KD, Christensen CL, Hall-Ursone S, Cox LA. Cell-type deconvolution of bulk RNA-Seq from kidney using opensource bioinformatic tools. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.13.528258. [PMID: 36824792 PMCID: PMC9949078 DOI: 10.1101/2023.02.13.528258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Traditional bulk RNA-Seq pipelines do not assess cell-type composition within heterogeneous tissues. Therefore, it is difficult to determine whether conflicting findings among samples or datasets are the result of biological differences or technical differences due to variation in sample collections. This report provides a user-friendly, open source method to assess cell-type composition in bulk RNA-Seq datasets for heterogeneous tissues using published single cell (sc)RNA-Seq data as a reference. As an example, we apply the method to analysis of kidney cortex bulk RNA-Seq data from female (N=8) and male (N=9) baboons to assess whether observed transcriptome sex differences are biological or technical, i.e., variation due to ultrasound guided biopsy collections. We found cell-type composition was not statistically different in female versus male transcriptomes based on expression of 274 kidney cell-type specific transcripts, indicating differences in gene expression are not due to sampling differences. This method of cell-type composition analysis is recommended for providing rigor in analysis of bulk RNA-Seq datasets from complex tissues. It is clear that with reduced costs, more analyses will be done using scRNA-Seq; however, the approach described here is relevant for data mining and meta analyses of the thousands of bulk RNA-Seq data archived in the NCBI GEO public database.
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Affiliation(s)
- Angelica M. Riojas
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kimberly D. Spradling-Reeves
- Section on Molecular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Shannan Hall-Ursone
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Laura A. Cox
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Section on Molecular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, USA
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21
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Nielsen SV, Vaughn AH, Leppälä K, Landis MJ, Mailund T, Nielsen R. Bayesian inference of admixture graphs on Native American and Arctic populations. PLoS Genet 2023; 19:e1010410. [PMID: 36780565 PMCID: PMC9956672 DOI: 10.1371/journal.pgen.1010410] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/24/2023] [Accepted: 01/23/2023] [Indexed: 02/15/2023] Open
Abstract
Admixture graphs are mathematical structures that describe the ancestry of populations in terms of divergence and merging (admixing) of ancestral populations as a graph. An admixture graph consists of a graph topology, branch lengths, and admixture proportions. The branch lengths and admixture proportions can be estimated using numerous numerical optimization methods, but inferring the topology involves a combinatorial search for which no polynomial algorithm is known. In this paper, we present a reversible jump MCMC algorithm for sampling high-probability admixture graphs and show that this approach works well both as a heuristic search for a single best-fitting graph and for summarizing shared features extracted from posterior samples of graphs. We apply the method to 11 Native American and Siberian populations and exploit the shared structure of high-probability graphs to characterize the relationship between Saqqaq, Inuit, Koryaks, and Athabascans. Our analyses show that the Saqqaq is not a good proxy for the previously identified gene flow from Arctic people into the Na-Dene speaking Athabascans.
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Affiliation(s)
- Svend V. Nielsen
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Andrew H. Vaughn
- Center for Computational Biology, University of California Berkeley, Berkeley, California, United States of America
| | - Kalle Leppälä
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Michael J. Landis
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, United States of America
| | - Thomas Mailund
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Rasmus Nielsen
- Departments of Integrative Biology and Statistics, University of California Berkeley, Berkeley, California, United States of America
- Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark
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22
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Current advances in primate genomics: novel approaches for understanding evolution and disease. Nat Rev Genet 2023; 24:314-331. [PMID: 36599936 DOI: 10.1038/s41576-022-00554-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2022] [Indexed: 01/05/2023]
Abstract
Primate genomics holds the key to understanding fundamental aspects of human evolution and disease. However, genetic diversity and functional genomics data sets are currently available for only a few of the more than 500 extant primate species. Concerted efforts are under way to characterize primate genomes, genetic polymorphism and divergence, and functional landscapes across the primate phylogeny. The resulting data sets will enable the connection of genotypes to phenotypes and provide new insight into aspects of the genetics of primate traits, including human diseases. In this Review, we describe the existing genome assemblies as well as genetic variation and functional genomic data sets. We highlight some of the challenges with sample acquisition. Finally, we explore how technological advances in single-cell functional genomics and induced pluripotent stem cell-derived organoids will facilitate our understanding of the molecular foundations of primate biology.
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23
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Brasil MF, Monson TA, Taylor CE, Yohler RM, Hlusko LJ. A Pleistocene assemblage of near-modern Papio hamadryas from the Middle Awash study area, Afar Rift, Ethiopia. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 180:48-76. [PMID: 36790648 DOI: 10.1002/ajpa.24634] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/15/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022]
Abstract
OBJECTIVES The aim of this study is to assess a new assemblage of papionin fossils (n = 143) recovered from later Pleistocene sediments in the Middle Awash study area in the Afar Rift of Ethiopia. MATERIALS AND METHODS We collected metric and qualitative data to compare the craniodental and postcranial anatomy of the papionin fossils with subspecies of modern Papio hamadryas and with Plio-Pleistocene African papionins. We also estimated sex and ontogenetic age. RESULTS The new fossils fit well within the range of morphological variation observed for extant P. hamadryas, overlapping most closely in dental size and proportions with the P. h. cynocephalus individuals in our extant samples, and well within the ranges of P. h. anubis and P. h. hamadryas. The considerable overlap in craniodental anatomy with multiple subspecies precludes subspecific diagnosis. We therefore referred 143 individuals to P. hamadryas ssp. The majority of the individuals assessed for ontogenetic age fell into middle- and old-adult age categories based on the degree of dental wear. Males (26%) were better represented than females (12%) among individuals preserving the canine-premolar honing complex. DISCUSSION These new near-modern P. hamadryas fossils provide a window into population-level variation in the later Pleistocene. Our findings echo previous suggestions from genomic studies that the papionin family tree may have included a ghost population and provide a basis for future testing of hypotheses regarding hybridization in the recent evolutionary history of this taxon.
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Affiliation(s)
- Marianne F Brasil
- Berkeley Geochronology Center, Berkeley, California, USA.,Human Evolution Research Center, University of California Berkeley, Berkeley, California, USA
| | - Tesla A Monson
- Department of Anthropology, Western Washington University, Bellingham, Washington, USA
| | - Catherine E Taylor
- Human Evolution Research Center, University of California Berkeley, Berkeley, California, USA.,Department of Integrative Biology, University of California Berkeley, Berkeley, California, USA
| | - Ryan M Yohler
- Human Evolution Research Center, University of California Berkeley, Berkeley, California, USA.,Department of Integrative Biology, University of California Berkeley, Berkeley, California, USA
| | - Leslea J Hlusko
- Human Evolution Research Center, University of California Berkeley, Berkeley, California, USA.,Department of Integrative Biology, University of California Berkeley, Berkeley, California, USA.,Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Burgos, Spain
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24
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Wang J, Weatheritt R, Voineagu I. Alu-minating the Mechanisms Underlying Primate Cortex Evolution. Biol Psychiatry 2022; 92:760-771. [PMID: 35981906 DOI: 10.1016/j.biopsych.2022.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/04/2022] [Accepted: 04/28/2022] [Indexed: 11/02/2022]
Abstract
The higher-order cognitive functions observed in primates correlate with the evolutionary enhancement of cortical volume and folding, which in turn are driven by the primate-specific expansion of cellular diversity in the developing cortex. Underlying these changes is the diversification of molecular features including the creation of human and/or primate-specific genes, the activation of specific molecular pathways, and the interplay of diverse layers of gene regulation. We review and discuss evidence for connections between Alu elements and primate brain evolution, the evolutionary milestones of which are known to coincide along primate lineages. Alus are repetitive elements that contribute extensively to the acquisition of novel genes and the expansion of diverse gene regulatory layers, including enhancers, alternative splicing, RNA editing, and microRNA pathways. By reviewing the impact of Alus on molecular features linked to cortical expansions or gyrification or implications in cognitive deficits, we suggest that future research focusing on the role of Alu-derived molecular events in the context of brain development may greatly advance our understanding of higher-order cognitive functions and neurologic disorders.
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Affiliation(s)
- Juli Wang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
| | - Robert Weatheritt
- St Vincent Clinical School, University of New South Wales, Sydney, Australia; Garvan Institute of Medical Research, EMBL Australia, Sydney, New South Wales, Australia
| | - Irina Voineagu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia; Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia.
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25
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Storer JM, Walker JA, Rewerts LC, Brown MA, Beckstrom TO, Herke SW, Roos C, Batzer MA. Owl Monkey Alu Insertion Polymorphisms and Aotus Phylogenetics. Genes (Basel) 2022; 13:2069. [PMID: 36360306 PMCID: PMC9691001 DOI: 10.3390/genes13112069] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/25/2022] [Accepted: 11/04/2022] [Indexed: 07/30/2023] Open
Abstract
Owl monkeys (genus Aotus), or "night monkeys" are platyrrhine primates in the Aotidae family. Early taxonomy only recognized one species, Aotus trivirgatus, until 1983, when Hershkovitz proposed nine unique species designations, classified into red-necked and gray-necked species groups based predominately on pelage coloration. Recent studies questioned this conventional separation of the genus and proposed designations based on the geographical location of wild populations. Alu retrotransposons are a class of mobile element insertion (MEI) widely used to study primate phylogenetics. A scaffold-level genome assembly for one Aotus species, Aotus nancymaae [Anan_2.0], facilitated large-scale ascertainment of nearly 2000 young lineage-specific Alu insertions. This study provides candidate oligonucleotides for locus-specific PCR assays for over 1350 of these elements. For 314 Alu elements across four taxa with multiple specimens, PCR analyses identified 159 insertion polymorphisms, including 21 grouping A. nancymaae and Aotus azarae (red-necked species) as sister taxa, with Aotus vociferans and A. trivirgatus (gray-necked) being more basal. DNA sequencing identified five novel Alu elements from three different taxa. The Alu datasets reported in this study will assist in species identification and provide a valuable resource for Aotus phylogenetics, population genetics and conservation strategies when applied to wild populations.
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Affiliation(s)
- Jessica M. Storer
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - Jerilyn A. Walker
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
| | - Lydia C. Rewerts
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
| | - Morgan A. Brown
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
| | - Thomas O. Beckstrom
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
- Department of Oral and Maxillofacial Surgery, University of Washington, 1959 NE Pacific Street, Health Sciences Building B-241, Seattle, WA 98195, USA
| | - Scott W. Herke
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Mark A. Batzer
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
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26
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Baboon perspectives on the ecology and behavior of early human ancestors. Proc Natl Acad Sci U S A 2022; 119:e2116182119. [PMID: 36279425 PMCID: PMC9659385 DOI: 10.1073/pnas.2116182119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
For more than 70 y researchers have looked to baboons (monkeys of the genus
Papio
) as a source of hypotheses about the ecology and behavior of early hominins (early human ancestors and their close relatives). This approach has undergone a resurgence in the last decade as a result of rapidly increasing knowledge from experimental and field studies of baboons and from archeological and paleontological studies of hominins. The result is a rich array of analogies, scenarios, and other stimuli to thought about the ecology and behavior of early hominins. The main intent here is to illustrate baboon perspectives on early hominins, with emphasis on recent developments. This begins with a discussion of baboons and hominins as we know them currently and explains the reasons for drawing comparisons between them. These include occupation of diverse environments, combination of arboreal and terrestrial capabilities, relatively large body size, and sexual dimorphism. The remainder of the paper illustrates the main points with a small number of examples drawn from diverse areas of interest: diet (grasses and fish), danger (leopards and crocodiles), social organization (troops and multilevel societies), social relationships (male–male, male–female, female–female), communication (possible foundations of language), cognition (use of social information, comparison of self to others), and bipedalism (a speculative developmental hypothesis about the neurological basis). The conclusion is optimistic about the future of baboon perspectives on early hominins.
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27
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Petersen RM, Bergey CM, Roos C, Higham JP. Relationship between genome-wide and MHC class I and II genetic diversity and complementarity in a nonhuman primate. Ecol Evol 2022; 12:e9346. [PMID: 36311412 PMCID: PMC9596323 DOI: 10.1002/ece3.9346] [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: 09/22/2021] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 11/10/2022] Open
Abstract
Although mate choice is expected to favor partners with advantageous genetic properties, the relative importance of genome‐wide characteristics, such as overall heterozygosity or kinship, versus specific loci, is unknown. To disentangle genome‐wide and locus‐specific targets of mate choice, we must first understand congruence in global and local variation within the same individual. This study compares genetic diversity, both absolute and relative to other individuals (i.e., complementarity), assessed across the genome to that found at the major histocompatibility complex (MHC), a hyper‐variable gene family integral to immune system function and implicated in mate choice across species. Using DNA from 22 captive olive baboons (Papio anubis), we conducted double digest restriction site‐associated DNA sequencing to estimate genome‐wide heterozygosity and kinship, and sequenced two class I and two class II MHC loci. We found that genome‐wide diversity was not associated with MHC diversity, and that diversity at class I MHC loci was not correlated with diversity at class II loci. Additionally, kinship was a significant predictor of the number of MHC alleles shared between dyads at class II loci. Our results provide further evidence of the strong selective pressures maintaining genetic diversity at the MHC in comparison to other randomly selected sites throughout the genome. Furthermore, our results indicate that class II MHC disassortative mate choice may mediate inbreeding avoidance in this population. Our study suggests that mate choice favoring genome‐wide genetic diversity is not always synonymous with mate choice favoring MHC diversity, and highlights the importance of controlling for kinship when investigating MHC‐associated mate choice.
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Affiliation(s)
- Rachel M. Petersen
- Department of AnthropologyNew York UniversityNew YorkNew YorkUSA,New York Consortium in Evolutionary PrimatologyNew YorkNew YorkUSA
| | - Christina M. Bergey
- Department of Genetics and the Human Genetics Institute of New JerseyRutgers UniversityPiscatawayNew JerseyUSA
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics LaboratoryGerman Primate CenterLeibniz Institute for Primate ResearchGöttingenGermany
| | - James P. Higham
- Department of AnthropologyNew York UniversityNew YorkNew YorkUSA,New York Consortium in Evolutionary PrimatologyNew YorkNew YorkUSA
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28
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Tricou T, Tannier E, de Vienne DM. Ghost lineages can invalidate or even reverse findings regarding gene flow. PLoS Biol 2022; 20:e3001776. [PMID: 36103518 PMCID: PMC9473628 DOI: 10.1371/journal.pbio.3001776] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022] Open
Abstract
Introgression, endosymbiosis, and gene transfer, i.e., horizontal gene flow (HGF), are primordial sources of innovation in all domains of life. Our knowledge on HGF relies on detection methods that exploit some of its signatures left on extant genomes. One of them is the effect of HGF on branch lengths of constructed phylogenies. This signature has been formalized in statistical tests for HGF detection and used for example to detect massive adaptive gene flows in malaria vectors or to order evolutionary events involved in eukaryogenesis. However, these studies rely on the assumption that ghost lineages (all unsampled extant and extinct taxa) have little influence. We demonstrate here with simulations and data reanalysis that when considering the more realistic condition that unsampled taxa are legion compared to sampled ones, the conclusion of these studies become unfounded or even reversed. This illustrates the necessity to recognize the existence of ghosts in evolutionary studies.
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Affiliation(s)
- Théo Tricou
- Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France
| | - Eric Tannier
- Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France
- INRIA Grenoble Rhône-Alpes, F-38334 Montbonnot, France
| | - Damien M. de Vienne
- Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France
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29
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Vilgalys TP, Fogel AS, Anderson JA, Mututua RS, Warutere JK, Siodi IL, Kim SY, Voyles TN, Robinson JA, Wall JD, Archie EA, Alberts SC, Tung J. Selection against admixture and gene regulatory divergence in a long-term primate field study. Science 2022; 377:635-641. [PMID: 35926022 PMCID: PMC9682493 DOI: 10.1126/science.abm4917] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Genetic admixture is central to primate evolution. We combined 50 years of field observations of immigration and group demography with genomic data from ~9 generations of hybrid baboons to investigate the consequences of admixture in the wild. Despite no obvious fitness costs to hybrids, we found signatures of selection against admixture similar to those described for archaic hominins. These patterns were concentrated near genes where ancestry is strongly associated with gene expression. Our analyses also show that introgression is partially predictable across the genome. This study demonstrates the value of integrating genomic and field data for revealing how "genomic signatures of selection" (e.g., reduced introgression in low-recombination regions) manifest in nature; moreover, it underscores the importance of other primates as living models for human evolution.
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Affiliation(s)
- Tauras P. Vilgalys
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA,Section of Genetic Medicine, University of Chicago, Chicago, IL, USA
| | - Arielle S. Fogel
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA,University Program in Genetics and Genomics, Duke University, Durham, NC, USA
| | - Jordan A. Anderson
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | | | | | | | - Sang Yoon Kim
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Tawni N. Voyles
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | | | - Jeffrey D. Wall
- Institute for Human Genetics, University of California, San Francisco, CA, USA
| | - Elizabeth A. Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Susan C. Alberts
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA,Department of Biology, Duke University, Durham, NC, USA,Duke University Population Research Institute, Duke University, Durham, NC, USA
| | - Jenny Tung
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA,Department of Biology, Duke University, Durham, NC, USA,Duke University Population Research Institute, Duke University, Durham, NC, USA,Canadian Institute for Advanced Research, Toronto, Canada,Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany,Corresponding author
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30
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Stronger maternal social bonds and higher rank are associated with accelerated infant maturation in Kinda baboons. Anim Behav 2022. [DOI: 10.1016/j.anbehav.2022.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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31
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Population dynamics and genetic connectivity in recent chimpanzee history. CELL GENOMICS 2022; 2:None. [PMID: 35711737 PMCID: PMC9188271 DOI: 10.1016/j.xgen.2022.100133] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 12/29/2021] [Accepted: 04/15/2022] [Indexed: 11/22/2022]
Abstract
Knowledge on the population history of endangered species is critical for conservation, but whole-genome data on chimpanzees (Pan troglodytes) is geographically sparse. Here, we produced the first non-invasive geolocalized catalog of genomic diversity by capturing chromosome 21 from 828 non-invasive samples collected at 48 sampling sites across Africa. The four recognized subspecies show clear genetic differentiation correlating with known barriers, while previously undescribed genetic exchange suggests that these have been permeable on a local scale. We obtained a detailed reconstruction of population stratification and fine-scale patterns of isolation, migration, and connectivity, including a comprehensive picture of admixture with bonobos (Pan paniscus). Unlike humans, chimpanzees did not experience extended episodes of long-distance migrations, which might have limited cultural transmission. Finally, based on local rare variation, we implement a fine-grained geolocalization approach demonstrating improved precision in determining the origin of confiscated chimpanzees.
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32
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Bonnet T, Morrissey MB, de Villemereuil P, Alberts SC, Arcese P, Bailey LD, Boutin S, Brekke P, Brent LJN, Camenisch G, Charmantier A, Clutton-Brock TH, Cockburn A, Coltman DW, Courtiol A, Davidian E, Evans SR, Ewen JG, Festa-Bianchet M, de Franceschi C, Gustafsson L, Höner OP, Houslay TM, Keller LF, Manser M, McAdam AG, McLean E, Nietlisbach P, Osmond HL, Pemberton JM, Postma E, Reid JM, Rutschmann A, Santure AW, Sheldon BC, Slate J, Teplitsky C, Visser ME, Wachter B, Kruuk LEB. Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals. Science 2022; 376:1012-1016. [PMID: 35617403 DOI: 10.1126/science.abk0853] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The rate of adaptive evolution, the contribution of selection to genetic changes that increase mean fitness, is determined by the additive genetic variance in individual relative fitness. To date, there are few robust estimates of this parameter for natural populations, and it is therefore unclear whether adaptive evolution can play a meaningful role in short-term population dynamics. We developed and applied quantitative genetic methods to long-term datasets from 19 wild bird and mammal populations and found that, while estimates vary between populations, additive genetic variance in relative fitness is often substantial and, on average, twice that of previous estimates. We show that these rates of contemporary adaptive evolution can affect population dynamics and hence that natural selection has the potential to partly mitigate effects of current environmental change.
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Affiliation(s)
- Timothée Bonnet
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | | | - Pierre de Villemereuil
- Institut de Systématique, Évolution, Biodiversité (ISYEB), École Pratique des Hautes Études, PSL, MNHN, CNRS, SU, UA, Paris, France.,School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Susan C Alberts
- Departments of Biology and Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Peter Arcese
- Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Liam D Bailey
- Departments of Evolutionary Ecology and Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Stan Boutin
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Patricia Brekke
- Institute of Zoology, Zoological Society of London, Regents Park, London, UK
| | - Lauren J N Brent
- Centre for Research in Animal Behaviour, University of Exeter, Penryn, UK
| | - Glauco Camenisch
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Anne Charmantier
- Centre d'Écologie Fonctionnelle et Évolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Tim H Clutton-Brock
- Department of Zoology, University of Cambridge, Cambridge, UK.,Mammal Research Institute, University of Pretoria, Pretoria, South Africa
| | - Andrew Cockburn
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - David W Coltman
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Alexandre Courtiol
- Departments of Evolutionary Ecology and Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Eve Davidian
- Departments of Evolutionary Ecology and Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Simon R Evans
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK.,Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden.,Centre for Ecology and Conservation, University of Exeter, Penryn, UK
| | - John G Ewen
- Institute of Zoology, Zoological Society of London, Regents Park, London, UK
| | | | - Christophe de Franceschi
- Centre d'Écologie Fonctionnelle et Évolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Lars Gustafsson
- Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
| | - Oliver P Höner
- Departments of Evolutionary Ecology and Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Thomas M Houslay
- Department of Zoology, University of Cambridge, Cambridge, UK.,Centre for Ecology and Conservation, University of Exeter, Penryn, UK
| | - Lukas F Keller
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Zoological Museum, University of Zurich,, Zurich, Switzerland
| | - Marta Manser
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Mammal Research Institute, University of Pretoria, Pretoria, South Africa
| | - Andrew G McAdam
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
| | - Emily McLean
- Biology Department, Oxford College, Emory University, Oxford, GA, USA
| | - Pirmin Nietlisbach
- School of Biological Sciences, Illinois State University, Normal, IL, USA
| | - Helen L Osmond
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | | | - Erik Postma
- Centre for Ecology and Conservation, University of Exeter, Penryn, UK
| | - Jane M Reid
- Centre for Biodiversity Dynamics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Alexis Rutschmann
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Anna W Santure
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Ben C Sheldon
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK
| | - Jon Slate
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
| | - Céline Teplitsky
- Centre d'Écologie Fonctionnelle et Évolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Marcel E Visser
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, Netherlands
| | - Bettina Wachter
- Departments of Evolutionary Ecology and Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Loeske E B Kruuk
- Research School of Biology, Australian National University, Canberra, ACT, Australia.,Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK
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33
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Genomic signatures of high-altitude adaptation and chromosomal polymorphism in geladas. Nat Ecol Evol 2022; 6:630-643. [PMID: 35332281 PMCID: PMC9090980 DOI: 10.1038/s41559-022-01703-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/15/2022] [Indexed: 01/31/2023]
Abstract
Primates have adapted to numerous environments and lifestyles, but very few species are native to high elevations. Here, we investigated high-altitude adaptations in the gelada (Theropithecus gelada), a monkey endemic to the Ethiopian Plateau. We examined genome-wide variation in conjunction with measurements of hematological and morphological traits. Our new gelada reference genome is highly intact and assembled at chromosome-length levels. Unexpectedly, we identified a chromosomal polymorphism in geladas that could potentially contribute to reproductive barriers between populations. Compared to baboons at low altitude, we found that high-altitude geladas exhibit significantly expanded chest circumferences, potentially allowing for greater lung surface area for increased oxygen diffusion. We identified gelada-specific amino acid substitutions in the alpha-chain subunit of adult hemoglobin but found that gelada hemoglobin does not exhibit markedly altered oxygenation properties compared to lowland primates. We also found that geladas at high altitude do not exhibit elevated blood hemoglobin concentrations, in contrast to the normal acclimatization response to hypoxia in lowland primates. The absence of altitude-related polycythemia suggests that geladas are able to sustain adequate tissue-oxygen delivery despite environmental hypoxia. Finally, we identified numerous genes and genomic regions exhibiting accelerated rates of evolution, as well as gene families exhibiting expansions in the gelada lineage, potentially reflecting altitude-related selection. Our findings lend insight into putative mechanisms of high-altitude adaptation while suggesting promising avenues for functional hypoxia research.
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34
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Pozzi L, Penna A. Rocks and clocks revised: New promises and challenges in dating the primate tree of life. Evol Anthropol 2022; 31:138-153. [PMID: 35102633 DOI: 10.1002/evan.21940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 10/04/2021] [Accepted: 01/12/2022] [Indexed: 01/14/2023]
Abstract
In recent years, multiple technological and methodological advances have increased our ability to estimate phylogenies, leading to more accurate dating of the primate tree of life. Here we provide an overview of the limitations and potentials of some of these advancements and discuss how dated phylogenies provide the crucial temporal scale required to understand primate evolution. First, we review new methods, such as the total-evidence dating approach, that promise a better integration between the fossil record and molecular data. We then explore how the ever-increasing availability of genomic-level data for more primate species can impact our ability to accurately estimate timetrees. Finally, we discuss more recent applications of mutation rates to date divergence times. We highlight example studies that have applied these approaches to estimate divergence dates within primates. Our goal is to provide a critical overview of these new developments and explore the promises and challenges of their application in evolutionary anthropology.
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Affiliation(s)
- Luca Pozzi
- Department of Anthropology, The University of Texas at San Antonio, San Antonio, Texas, USA
| | - Anna Penna
- Department of Anthropology, The University of Texas at San Antonio, San Antonio, Texas, USA
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35
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Santander C, Molinaro L, Mutti G, Martínez FI, Mathe J, Ferreira da Silva MJ, Caldon M, Oteo-Garcia G, Aldeias V, Archer W, Bamford M, Biro D, Bobe R, Braun DR, Hammond P, Lüdecke T, Pinto MJ, Meira Paulo L, Stalmans M, Regala FT, Bertolini F, Moltke I, Raveane A, Pagani L, Carvalho S, Capelli C. Genomic variation in baboons from central Mozambique unveils complex evolutionary relationships with other Papio species. BMC Ecol Evol 2022; 22:44. [PMID: 35410131 PMCID: PMC8996594 DOI: 10.1186/s12862-022-01999-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/28/2022] [Indexed: 11/11/2022] Open
Abstract
Background Gorongosa National Park in Mozambique hosts a large population of baboons, numbering over 200 troops. Gorongosa baboons have been tentatively identified as part of Papio ursinus on the basis of previous limited morphological analysis and a handful of mitochondrial DNA sequences. However, a recent morphological and morphometric analysis of Gorongosa baboons pinpointed the occurrence of several traits intermediate between P. ursinus and P. cynocephalus, leaving open the possibility of past and/or ongoing gene flow in the baboon population of Gorongosa National Park. In order to investigate the evolutionary history of baboons in Gorongosa, we generated high and low coverage whole genome sequence data of Gorongosa baboons and compared it to available Papio genomes. Results We confirmed that P. ursinus is the species closest to Gorongosa baboons. However, the Gorongosa baboon genomes share more derived alleles with P. cynocephalus than P. ursinus does, but no recent gene flow between P. ursinus and P. cynocephalus was detected when available Papio genomes were analyzed. Our results, based on the analysis of autosomal, mitochondrial and Y chromosome data, suggest complex, possibly male-biased, gene flow between Gorongosa baboons and P. cynocephalus, hinting to direct or indirect contributions from baboons belonging to the “northern” Papio clade, and signal the presence of population structure within P. ursinus. Conclusions The analysis of genome data generated from baboon samples collected in central Mozambique highlighted a complex set of evolutionary relationships with other baboons. Our results provided new insights in the population dynamics that have shaped baboon diversity. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-022-01999-7.
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Affiliation(s)
- Cindy Santander
- Department of Biology, University of Copenhagen, Copenhagen, Denmark. .,Department of Zoology, University of Oxford, Oxford, UK.
| | - Ludovica Molinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Giacomo Mutti
- Department of Biosciences, University of Milan, Milan, Italy.,Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Felipe I Martínez
- Escuela de Antropología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Jacinto Mathe
- School of Anthropology, University of Oxford, Oxford, UK
| | - Maria Joana Ferreira da Silva
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.,CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.,ONE - Organisms and Environment Group, School of Biosciences, Cardiff University, Sir Martin Evans Building, Cardiff, UK
| | - Matteo Caldon
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Gonzalo Oteo-Garcia
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Vera Aldeias
- Interdisciplinary Center for Archaeology and Evolution of Human Behavior (ICArEHB), Universidade do Algarve, Faro, Portugal
| | - Will Archer
- Department of Archaeology, National Museum, Bloemfontein, South Africa
| | - Marion Bamford
- Evolutionary Studies Institute, University of the Witwatersrand, Johannesburg, South Africa
| | - Dora Biro
- Department of Zoology, University of Oxford, Oxford, UK
| | - René Bobe
- School of Anthropology, University of Oxford, Oxford, UK.,Gorongosa National Park, Sofala, Mozambique
| | - David R Braun
- Center for the Advanced Study of Human Paleobiology, George Washington University, Washington, USA
| | | | - Tina Lüdecke
- School of Anthropology, University of Oxford, Oxford, UK.,Emmy Noether Group for Hominin Meat Consumption, Max Planck Institute for Chemistry, Mainz, Germany
| | - Maria José Pinto
- AESDA - Associação de Estudos Subterrâneos e Defesa do Ambiente, Lisbon, Portugal
| | - Luis Meira Paulo
- AESDA - Associação de Estudos Subterrâneos e Defesa do Ambiente, Lisbon, Portugal
| | - Marc Stalmans
- Department of Scientific Services, Gorongosa National Park, Chitengo, Sofala Province, Mozambique
| | - Frederico Tátá Regala
- Interdisciplinary Center for Archaeology and Evolution of Human Behavior (ICArEHB), Universidade do Algarve, Faro, Portugal
| | - Francesco Bertolini
- Laboratory of Hematology-Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Ida Moltke
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Alessandro Raveane
- Laboratory of Hematology-Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.,Department of Biology, University of Padua, Padua, Italy
| | - Susana Carvalho
- School of Anthropology, University of Oxford, Oxford, UK. .,Gorongosa National Park, Sofala, Mozambique.
| | - Cristian Capelli
- Department of Zoology, University of Oxford, Oxford, UK. .,Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
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36
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Wall JD, Robinson JA, Cox LA. High-Resolution Estimates of Crossover and Noncrossover Recombination from a Captive Baboon Colony. Genome Biol Evol 2022; 14:evac040. [PMID: 35325119 PMCID: PMC9048888 DOI: 10.1093/gbe/evac040] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2022] [Indexed: 11/17/2022] Open
Abstract
Homologous recombination has been extensively studied in humans and a handful of model organisms. Much less is known about recombination in other species, including nonhuman primates. Here, we present a study of crossovers (COs) and noncrossover (NCO) recombination in olive baboons (Papio anubis) from two pedigrees containing a total of 20 paternal and 17 maternal meioses, and compare these results to linkage disequilibrium (LD) based recombination estimates from 36 unrelated olive baboons. We demonstrate how COs, combined with LD-based recombination estimates, can be used to identify genome assembly errors. We also quantify sex-specific differences in recombination rates, including elevated male CO and reduced female CO rates near telomeres. Finally, we add to the increasing body of evidence suggesting that while most NCO recombination tracts in mammals are short (e.g., <500 bp), there is a non-negligible fraction of longer (e.g., >1 kb) NCO tracts. For NCO tracts shorter than 10 kb, we fit a mixture of two (truncated) geometric distributions model to the NCO tract length distribution and estimate that >99% of all NCO tracts are very short (mean 24 bp), but the remaining tracts can be quite long (mean 4.3 kb). A single geometric distribution model for NCO tract lengths is incompatible with the data, suggesting that LD-based methods for estimating NCO recombination rates that make this assumption may need to be modified.
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Affiliation(s)
- Jeffrey D. Wall
- Institute for Human Genetics, University of California San Francisco, USA
| | | | - Laura A. Cox
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, USA
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37
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Matsudaira K, Reichard UH, Ishida T, Malaivijitnond S. Introgression and mating patterns between white-handed gibbons (Hylobates lar) and pileated gibbons (Hylobates pileatus) in a natural hybrid zone. PLoS One 2022; 17:e0264519. [PMID: 35358199 PMCID: PMC8970389 DOI: 10.1371/journal.pone.0264519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 02/14/2022] [Indexed: 12/03/2022] Open
Abstract
Gibbons (Family Hylobatidae) are a suitable model for exploring hybridization in pair-living primates as several species form hybrid zones. In Khao Yai National Park, Thailand, white-handed gibbons (Hylobates lar) and pileated gibbons (Hylobates pileatus) are distributed parapatrically and hybridize in a narrow zone. Their phenotypic characteristics suggest limited inter-species gene flow, although this has never been assessed. To uncover the history and degree of gene flow between the two species, we studied the genetic structure of gibbons in the hybrid zone by analyzing fecal DNA samples, phenotypic characteristics, vocalizations and individuals’ social status. We determined eight autosomal single nucleotide variant (SNV) loci, and mitochondrial DNA (mtDNA) and Y-chromosomal haplotypes of 72 gibbons. We compared these markers with reference types of wild pureblood white-handed gibbons (n = 12) in Kaeng Krachan National Park and pureblood pileated gibbons (n = 4) in Khao Soi Dao Wildlife Sanctuary. Autosomal genotypic analyses confirmed the various levels of mixed ancestry for several adult gibbons with or without atypical phenotypic traits in Khao Yai National Park. In some other adult gibbons, the mixed ancestry was not detected in either autosomal SNVs or their phenotypic traits but the mtDNA. Both male and female adult hybrids formed reproductive units mainly with a phenotypic pureblood partner and many of them produced offspring. Taken together, our results suggest that once hybridization occurs, white-handed-pileated-gibbon hybrids can reproduce with either parental species and that the backcrossing and thus introgression may occur in successive generations, with no drastic changes in phenotypic appearance.
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Affiliation(s)
- Kazunari Matsudaira
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
- * E-mail:
| | - Ulrich H. Reichard
- Department of Anthropology and Center for Ecology, Southern Illinois University Carbondale, Carbondale, Illinois, United States of America
| | - Takafumi Ishida
- Department of Biological Sciences, School of Science, The University of Tokyo, Tokyo, 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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38
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Formenti G, Theissinger K, Fernandes C, Bista I, Bombarely A, Bleidorn C, Ciofi C, Crottini A, Godoy JA, Höglund J, Malukiewicz J, Mouton A, Oomen RA, Paez S, Palsbøll PJ, Pampoulie C, Ruiz-López MJ, Svardal H, Theofanopoulou C, de Vries J, Waldvogel AM, Zhang G, Mazzoni CJ, Jarvis ED, Bálint M. The era of reference genomes in conservation genomics. Trends Ecol Evol 2022; 37:197-202. [PMID: 35086739 DOI: 10.1016/j.tree.2021.11.008] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 11/10/2021] [Accepted: 11/16/2021] [Indexed: 02/08/2023]
Abstract
Progress in genome sequencing now enables the large-scale generation of reference genomes. Various international initiatives aim to generate reference genomes representing global biodiversity. These genomes provide unique insights into genomic diversity and architecture, thereby enabling comprehensive analyses of population and functional genomics, and are expected to revolutionize conservation genomics.
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Affiliation(s)
- Giulio Formenti
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany; University of Koblenz-Landau, Institute for Environmental Sciences, Fortstrasse 7, 76829 Landau, Germany; Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Carlos Fernandes
- CE3C - Centre for Ecology, Evolution and Environmental Changes, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal; Faculdade de Psicologia, Universidade de Lisboa, Alameda da Universidade, 1649-013 Lisboa, Portugal
| | - Iliana Bista
- University of Cambridge, Department of Genetics, Cambridge CB2 3EH, UK; Wellcome Sanger Institute, CB10 1SA, Hinxton, UK
| | | | - Christoph Bleidorn
- University of Göttingen, Department of Animal Evolution and Biodiversity, Untere Karspüle, 2, 37073, Germany
| | - Claudio Ciofi
- University of Florence, Department of Biology, Via Madonna del Piano 6, Sesto Fiorentino (FI) 50019, Italy
| | - Angelica Crottini
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
| | - José A Godoy
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Av. Américo Vespucio, 26, 41092, Spain
| | - Jacob Höglund
- Dept. of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75246, Sweden
| | | | - Alice Mouton
- InBios - Conservation Genetics Lab, University of Liege, Chemin de la Vallée 4, 4000, Belgium
| | - Rebekah A Oomen
- Centre for Ecological and Evolutionary Synthesis, University of Oslo, Blindernveien 31, 0371 Oslo, Norway; Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway
| | - Sadye Paez
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Per J Palsbøll
- Groningen Institute of Evolutionary Life Sciences University of Groningen Nijenborgh, 9747, AG, Groningen, the Netherlands; Center for Coastal Studies, 5 Holway Avenue, Provincetown, MA 02657, USA
| | - Christophe Pampoulie
- Marine and Freshwater Research Institute, Fornubúðir, 5, 220 Hanafjörður, Iceland
| | - María J Ruiz-López
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Av. Américo Vespucio, 26, 41092, Spain
| | - Hannes Svardal
- Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020, Belgium
| | | | - Jan de Vries
- University of Göttingen, Institute for Microbiology and Genetics, Dept. of Applied Bioinformatics, Goettingen Center for Molecular Biosciences (GZMB), Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077, Germany
| | - Ann-Marie Waldvogel
- Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, D-50674, Germany
| | - Guojie Zhang
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark, Build 3, Universitetsparken 15, Copenhagen 2100, Denmark; China National Genebank, BGI-Shenzhen, Jinsha Road, Dapeng District, Shenzhen 518083, China
| | - Camila J Mazzoni
- Leibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Str 17, 10315 Berlin, Germany
| | - Erich D Jarvis
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany; Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany; Institute for Insect Biotechnology, Justus-Liebig University Gießen, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.
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39
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van der Kuyl AC. Analysis of Simian Endogenous Retrovirus (SERV) Full-Length Proviruses in Old World Monkey Genomes. Genes (Basel) 2022; 13:119. [PMID: 35052460 PMCID: PMC8775094 DOI: 10.3390/genes13010119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/20/2021] [Accepted: 01/06/2022] [Indexed: 02/05/2023] Open
Abstract
Simian endogenous retrovirus, SERV, is a successful germ line invader restricted to Old World monkey (OWM) species. (1) Background: The availability of high-quality primate genomes warrants a study of the characteristics, evolution, and distribution of SERV proviruses. (2) Methods: Cercopithecinae OWM genomes from public databases were queried for the presence of full-length SERV proviruses. A dataset of 81 Cer-SERV genomes was generated and analyzed. (3) Results: Full-length Cer-SERV proviruses were mainly found in terrestrial OWM, and less so in arboreal, forest- dwelling monkeys. Phylogenetic analysis confirmed the existence of two genotypes, Cer-SERV-1 and Cer-SERV-2, with Cer-SERV-1 showing evidence of recent germ-line expansions. Long Terminal Repeat (LTR) variation indicated that most proviruses were of a similar age and were estimated to be between <0.3 and 10 million years old. Integrations shared between species were relatively rare. Sequence analysis further showed extensive CpG methylation-associated mutations, variable Primer Binding Site (PBS) use with Cer-SERV-1 using PBSlys3 and Cer-SERV-2 using PBSlys1,2, and the recent gain of LTR motifs for transcription factors active during embryogenesis in Cer-SERV-1. (4) Conclusions: sequence analysis of 81 SERV proviruses from Cercopithecinae OWM genomes provides evidence for the adaptation of this retrovirus to germ line reproduction.
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Affiliation(s)
- Antoinette C van der Kuyl
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
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40
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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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41
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Abstract
Alleles that introgress between species can influence the evolutionary and ecological fate of species exposed to novel environments. Hybrid offspring of different species are often unfit, and yet it has long been argued that introgression can be a potent force in evolution, especially in plants. Over the last two decades, genomic data have increasingly provided evidence that introgression is a critically important source of genetic variation and that this additional variation can be useful in adaptive evolution of both animals and plants. Here, we review factors that influence the probability that foreign genetic variants provide long-term benefits (so-called adaptive introgression) and discuss their potential benefits. We find that introgression plays an important role in adaptive evolution, particularly when a species is far from its fitness optimum, such as when they expand their range or are subject to changing environments.
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Affiliation(s)
- Nathaniel B Edelman
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA; .,Current affiliation: Yale Institute for Biospheric Studies and Yale School of the Environment, Yale University, New Haven, Connecticut 06511, USA;
| | - James Mallet
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA;
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42
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Extensive Interspecific Gene Flow Shaped Complex Evolutionary History and Underestimated Species Diversity in Rapidly Radiated Dolphins. J MAMM EVOL 2021. [DOI: 10.1007/s10914-021-09581-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AbstractRecently diverged taxa are often characterized by high rates of hybridization, which can complicate phylogenetic reconstruction. For this reason, the phylogenetic relationships and evolutionary history of dolphins are still not very well resolved; the question of whether the genera Tursiops and Stenella are monophyletic is especially controversial. Here, we performed re-sequencing of six dolphin genomes and combined them with eight previously published dolphin SRA datasets and six whole-genome datasets to investigate the phylogenetic relationships of dolphins and test the monophyly hypothesis of Tursiops and Stenella. Phylogenetic reconstruction with the maximum likelihood and Bayesian methods of concatenated loci, as well as with coalescence analyses of sliding window trees, produced a concordant and well-supported tree. Our studies support the non-monophyletic status of Tursiops and Stenella because the species referred these genera do not form exclusive monophyletic clades. This suggests that the current taxonomy of both genera might not reflect their evolutionary history and may underestimate their diversity. A four-taxon D-statistic (ABBA-BABA) test, five-taxon DFOIL test, and tree-based PhyloNet analyses all showed extensive gene flow across dolphin species, which could explain the instability in resolving phylogenetic relationship of oceanic dolphins with different and limited markers. This study could be a good case to demonstrate how genomic data can reveal complex speciation and phylogeny in rapidly radiating animal groups.
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43
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Fogel AS, McLean EM, Gordon JB, Archie EA, Tung J, Alberts SC. Genetic ancestry predicts male-female affiliation in a natural baboon hybrid zone. Anim Behav 2021; 180:249-268. [PMID: 34866638 PMCID: PMC8635413 DOI: 10.1016/j.anbehav.2021.07.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Opposite-sex social relationships are important predictors of fitness in many animals, including several group-living mammals. Consequently, understanding sources of variance in the tendency to form opposite-sex relationships is important for understanding social evolution. Genetic contributions are of particular interest due to their importance in long-term evolutionary change, but little is known about genetic effects on male-female relationships in social mammals, especially outside of the mating context. Here, we investigate the effects of genetic ancestry on male-female affiliative behaviour in a hybrid zone between the yellow baboon, Papio cynocephalus, and the anubis baboon, Papio anubis, in a population in which male-female social bonds are known predictors of life span. We place our analysis within the context of other social and demographic predictors of affiliative behaviour in baboons. Genetic ancestry was the most consistent predictor of opposite-sex affiliative behaviour we observed, with the exception of strong effects of dominance rank. Our results show that increased anubis genetic ancestry is associated with a subtle, but significantly higher, probability of opposite-sex affiliative behaviour, in both males and females. Additionally, pairs of anubis-like males and anubis-like females were the most likely to socially affiliate, resulting in moderate assortativity in grooming and proximity behaviour as a function of genetic ancestry. Our findings indicate that opposite-sex affiliative behaviour partially diverged during baboon evolution to differentiate yellow and anubis baboons, despite overall similarities in their social structures and mating systems. Furthermore, they suggest that affiliative behaviour may simultaneously promote and constrain baboon admixture, through additive and assortative effects of ancestry, respectively.
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Affiliation(s)
- Arielle S. Fogel
- University Program in Genetics and Genomics, Duke University, Durham, NC, U.S.A
- Department of Evolutionary Anthropology, Duke University, Durham, NC, U.S.A
| | - Emily M. McLean
- University Program in Genetics and Genomics, Duke University, Durham, NC, U.S.A
- Department of Biology, Duke University, Durham, NC, U.S.A
- Division of Natural Sciences and Mathematics, Oxford College of Emory University, Oxford, GA, U.S.A
| | | | - Elizabeth A. Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, U.S.A
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
| | - Jenny Tung
- Department of Evolutionary Anthropology, Duke University, Durham, NC, U.S.A
- Department of Biology, Duke University, Durham, NC, U.S.A
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
- Duke Population Research Institute, Duke University, Durham, NC, U.S.A
| | - Susan C. Alberts
- Department of Evolutionary Anthropology, Duke University, Durham, NC, U.S.A
- Department of Biology, Duke University, Durham, NC, U.S.A
- Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya
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44
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Kos MZ, Carless MA, Blondell L, Leland MM, Knape KD, Göring HHH, Szabó CÁ. Whole Genome Sequence Data From Captive Baboons Implicate RBFOX1 in Epileptic Seizure Risk. Front Genet 2021; 12:714282. [PMID: 34490042 PMCID: PMC8417722 DOI: 10.3389/fgene.2021.714282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 07/27/2021] [Indexed: 01/18/2023] Open
Abstract
In this study, we investigate the genetic determinants that underlie epilepsy in a captive baboon pedigree and evaluate the potential suitability of this non-human primate model for understanding the genetic etiology of human epilepsy. Archived whole-genome sequence data were analyzed using both a candidate gene approach that targeted variants in baboon homologs of 19 genes (n = 20,881 SNPs) previously implicated in genetic generalized epilepsy (GGE) and a more agnostic approach that examined protein-altering mutations genome-wide as assessed by snpEff (n = 36,169). Measured genotype association tests for baboon cases of epileptic seizure were performed using SOLAR, as well as gene set enrichment analyses (GSEA) and protein–protein interaction (PPI) network construction of top association hits genome-wide (p < 0.01; n = 441 genes). The maximum likelihood estimate of heritability for epileptic seizure in the pedigreed baboon sample is 0.76 (SE = 0.77; p = 0.07). Among candidate genes for GGE, a significant association was detected for an intronic SNP in RBFOX1 (p = 5.92 × 10–6; adjusted p = 0.016). For protein-altering variants, no genome-wide significant results were observed for epilepsy status. However, GSEA revealed significant positive enrichment for genes involved in the extracellular matrix structure (ECM; FDR = 0.0072) and collagen formation (FDR = 0.017), which was reflected in a major PPI network cluster. This preliminary study highlights the potential role of RBFOX1 in the epileptic baboon, a protein involved in transcriptomic regulation of multiple epilepsy candidate genes in humans and itself previously implicated in human epilepsy, both focal and generalized. Moreover, protein-damaging variants from across the genome exhibit a pattern of association that links collagen-containing ECM to epilepsy risk. These findings suggest a shared genetic etiology between baboon and human forms of GGE and lay the foundation for follow-up research.
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Affiliation(s)
- Mark Z Kos
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Edinburg, TX, United States
| | - Melanie A Carless
- Department of Biology, The University of Texas at San Antonio, San Antonio, TX, United States.,Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, United States
| | - Lucy Blondell
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Edinburg, TX, United States
| | - M Michelle Leland
- Laboratory Animal Research, UT Health San Antonio, San Antonio, TX, United States
| | - Koyle D Knape
- Department of Neurology, UT Health San Antonio, San Antonio, TX, United States
| | - Harald H H Göring
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Edinburg, TX, United States
| | - Charles Ákos Szabó
- Department of Neurology, UT Health San Antonio, San Antonio, TX, United States.,South Texas Comprehensive Epilepsy Center, San Antonio, TX, United States
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45
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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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46
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Buck LT, Katz DC, Ackermann RR, Hlusko LJ, Kanthaswamy S, Weaver TD. Effects of hybridization on pelvic morphology: A macaque model. J Hum Evol 2021; 159:103049. [PMID: 34455262 DOI: 10.1016/j.jhevol.2021.103049] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 06/24/2021] [Accepted: 06/25/2021] [Indexed: 11/28/2022]
Abstract
Ancient DNA analyses have shown that interbreeding between hominin taxa occurred multiple times. Although admixture is often reflected in skeletal phenotype, the relationship between the two remains poorly understood, hampering interpretation of the hominin fossil record. Direct study of this relationship is often impossible due to the paucity of hominin fossils and difficulties retrieving ancient genetic material. Here, we use a sample of known ancestry hybrids between two closely related nonhuman primate taxa (Indian and Chinese Macaca mulatta) to investigate the effect of admixture on skeletal morphology. We focus on pelvic shape, which has potential fitness implications in hybrids, as mismatches between maternal pelvic and fetal cranial morphology are often fatal to mother and offspring. As the pelvis is also one of the skeletal regions that differs most between Homo sapiens and Neanderthals, investigating the pelvic consequences of interbreeding could be informative regarding the viability of their hybrids. We find that the effect of admixture in M. mulatta is small and proportional to the relatively small morphological difference between the parent taxa. Sexual dimorphism appears to be the main determinant of pelvic shape in M. mulatta. The lack of difference in pelvic shape between Chinese and Indian M. mulatta is in contrast to that between Neanderthals and H. sapiens, despite a similar split time (in generations) between the hybridizing pairs. Greater phenotypic divergence between hominins may relate to adaptations to disparate environments but may also highlight how the unique degree of cultural buffering in hominins allowed for greater neutral divergence. In contrast to some previous work identifying extreme morphologies in first- and second-generation hybrids, here the relationship between pelvic shape and admixture is linear. This linearity may be because most sampled animals have a multigenerational admixture history or because of relatively high constraints on the pelvis compared with other skeletal regions.
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Affiliation(s)
- Laura T Buck
- School of Biological and Environmental Sciences, Liverpool John Moores University, UK; Department of Anthropology, University of California Davis, USA.
| | - David C Katz
- Department of Anthropology, University of California Davis, USA; University of Calgary, Cumming School of Medicine, Canada
| | - Rebecca Rogers Ackermann
- Department of Archaeology, University of Cape Town, South Africa; Human Evolution Research Institute, University of Cape Town, South Africa
| | - Leslea J Hlusko
- Department of Integrative Biology, University of California Berkeley, USA; Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Burgos, Spain
| | - Sree Kanthaswamy
- School of Natural and Mathematical Sciences, Arizona State University, USA
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47
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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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48
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Zinner D, Klapproth M, Schell A, Ohrndorf L, Chala D, Ganzhorn J, Fischer J. Comparative ecology of Guinea baboons ( Papio papio). Primate Biol 2021; 8:19-35. [PMID: 34109265 PMCID: PMC8182668 DOI: 10.5194/pb-8-19-2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 04/19/2021] [Indexed: 11/11/2022] Open
Abstract
Thorough knowledge of the ecology of a species or population is an essential prerequisite for understanding the impact of ecology on the evolution of their respective social systems. Because of their diversity of social organizations, baboons (Papio spp.) are a useful model for comparative studies. Comparative ecological information was missing for Guinea baboons (Papio papio), however. Here we provide data on the ecology of Guinea baboons in a comparative analysis on two geographical scales. First, we compare climate variables and land cover among areas of occurrence of all six baboon species. Second, we describe home range size, habitat use, ranging behaviour, and diet from a local population of Guinea baboons ranging near the Centre de Recherche de Primatologie (CRP) Simenti in the Niokolo-Koba National Park, Senegal. Home ranges and daily travel distances at Simenti varied seasonally, yet the seasonal patterns in their daily travel distance did not follow a simple dry vs. rainy season pattern. Chemical food composition falls within the range of other baboon species. Compared to other baboon species, areas occupied by Guinea baboons experience the highest variation in precipitation and the highest seasonality in precipitation. Although the Guinea baboons' multi-level social organization is superficially similar to that of hamadryas baboons (P. hamadryas), the ecologies of the two species differ markedly. Most Guinea baboon populations, including the one at Simenti, live in more productive habitats than hamadryas baboons. This difference in the ecology of the two species contradicts a simple evolutionary relation between ecology and social system and suggests that other factors have played an additional role here.
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Affiliation(s)
- Dietmar Zinner
- Cognitive Ethology Laboratory, Germany Primate Center, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-Universität
Göttingen, 37077 Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, 37077 Göttingen,
Germany
| | - Matthias Klapproth
- Cognitive Ethology Laboratory, Germany Primate Center, 37077 Göttingen, Germany
| | - Andrea Schell
- Cognitive Ethology Laboratory, Germany Primate Center, 37077 Göttingen, Germany
| | - Lisa Ohrndorf
- Cognitive Ethology Laboratory, Germany Primate Center, 37077 Göttingen, Germany
| | - Desalegn Chala
- Natural History Museum, University of Oslo, P.O. Box 1172, Blindern,
0318 Oslo, Norway
| | - Jörg U. Ganzhorn
- Institute of Zoology, Universität Hamburg, Martin-Luther-King-Platz 3, 20146 Hamburg, Germany
| | - Julia Fischer
- Cognitive Ethology Laboratory, Germany Primate Center, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-Universität
Göttingen, 37077 Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, 37077 Göttingen,
Germany
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49
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Moodley Y, Westbury MV, Russo IRM, Gopalakrishnan S, Rakotoarivelo A, Olsen RA, Prost S, Tunstall T, Ryder OA, Dalén L, Bruford MW. Interspecific Gene Flow and the Evolution of Specialization in Black and White Rhinoceros. Mol Biol Evol 2021; 37:3105-3117. [PMID: 32585004 DOI: 10.1093/molbev/msaa148] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Africa's black (Diceros bicornis) and white (Ceratotherium simum) rhinoceros are closely related sister-taxa that evolved highly divergent obligate browsing and grazing feeding strategies. Although their precursor species Diceros praecox and Ceratotherium mauritanicum appear in the fossil record ∼5.2 Ma, by 4 Ma both were still mixed feeders, and were even spatiotemporally sympatric at several Pliocene sites in what is today Africa's Rift Valley. Here, we ask whether or not D. praecox and C. mauritanicum were reproductively isolated when they came into Pliocene secondary contact. We sequenced and de novo assembled the first annotated black rhinoceros reference genome and compared it with available genomes of other black and white rhinoceros. We show that ancestral gene flow between D. praecox and C. mauritanicum ceased sometime between 3.3 and 4.1 Ma, despite conventional methods for the detection of gene flow from whole genome data returning false positive signatures of recent interspecific migration due to incomplete lineage sorting. We propose that ongoing Pliocene genetic exchange, for up to 2 My after initial divergence, could have potentially hindered the development of obligate feeding strategies until both species were fully reproductively isolated, but that the more severe and shifting paleoclimate of the early Pleistocene was likely the ultimate driver of ecological specialization in African rhinoceros.
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Affiliation(s)
- Yoshan Moodley
- Department of Zoology, University of Venda, Thohoyandou, Republic of South Africa
| | - Michael V Westbury
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Isa-Rita M Russo
- School of Biosciences, Cardiff University, Cardiff, United Kingdom
| | - Shyam Gopalakrishnan
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Andrinajoro Rakotoarivelo
- Department of Zoology, University of Venda, Thohoyandou, Republic of South Africa.,Natiora Ahy Madagasikara, Ampahibe, Antananarivo, Madagascar
| | - Remi-Andre Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden
| | - Stefan Prost
- LOEWE-Centre for Translational Biodiversity Genomics, Senckenberg Museum, Frankfurt, Germany.,South African National Biodiversity Institute, National Zoological Gardens, Pretoria, Republic of South Africa
| | - Tate Tunstall
- San Diego Zoo Institute for Conservation Research, San Diego Zoo Global, Escondido, CA
| | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, San Diego Zoo Global, Escondido, CA
| | - Love Dalén
- Centre for Palaeogenetics, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Cardiff, United Kingdom.,Sustainable Places Research Institute, Cardiff University, Cardiff, United Kingdom
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50
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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] [MESH Headings] [Grants] [Track Full Text] [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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