1
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Hahn MW, Peña-Garcia Y, Wang RJ. The 'faulty male' hypothesis for sex-biased mutation and disease. Curr Biol 2023; 33:R1166-R1172. [PMID: 37989088 DOI: 10.1016/j.cub.2023.09.028] [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] [Indexed: 11/23/2023]
Abstract
Biological differences between males and females lead to many differences in physiology, disease, and overall health. One of the most prominent disparities is in the number of germline mutations passed to offspring: human males transmit three times as many mutations as do females. While the classic explanation for this pattern invokes differences in post-puberty germline replication between the sexes, recent whole-genome evidence in humans and other mammals has cast doubt on this mechanism. Here, we review recent work that is inconsistent with a replication-driven model of male-biased mutation, and propose an alternative, 'faulty male' hypothesis. This model proposes that males are less able to repair and/or protect DNA from damage compared to females. Importantly, we suggest that this new model for male-biased mutation may also help to explain several pronounced differences between the sexes in cancer, aging, and DNA repair. Although the detailed contributions of genetic, epigenetic, and hormonal influences of biological sex on mutation remain to be fully understood, a reconsideration of the mechanisms underlying these differences will lead to a deeper understanding of evolution and disease.
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Affiliation(s)
- Matthew W Hahn
- Department of Biology, Indiana University, 1001 E. 3(rd) Street, Bloomington, IN 47405, USA; Department of Computer Science, 700 N. Woodlawn Avenue, Bloomington, IN 47405, USA.
| | - Yadira Peña-Garcia
- Department of Biology, Indiana University, 1001 E. 3(rd) Street, Bloomington, IN 47405, USA
| | - Richard J Wang
- Department of Biology, Indiana University, 1001 E. 3(rd) Street, Bloomington, IN 47405, USA; Department of Computer Science, 700 N. Woodlawn Avenue, Bloomington, IN 47405, USA
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2
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Boyle C, Lansdorp PM, Edelstein-Keshet L. Predicting the number of lifetime divisions for hematopoietic stem cells from telomere length measurements. iScience 2023; 26:107053. [PMID: 37360685 PMCID: PMC10285640 DOI: 10.1016/j.isci.2023.107053] [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: 09/21/2022] [Revised: 05/09/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023] Open
Abstract
How many times does a typical hematopoietic stem cell (HSC) divide to maintain a daily production of over 1011 blood cells over a human lifetime? It has been predicted that relatively few, slowly dividing HSCs occupy the top of the hematopoietic hierarchy. However, tracking HSCs directly is extremely challenging due to their rarity. Here, we utilize previously published data documenting the loss of telomeric DNA repeats in granulocytes, to draw inferences about HSC division rates, the timing of major changes in those rates, as well as lifetime division totals. Our method uses segmented regression to identify the best candidate representations of the telomere length data. Our method predicts that, on average, an HSC divides 56 times over an 85-year lifespan (with lower and upper bounds of 36 and 120, respectively), with half of these divisions during the first 24 years of life.
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Affiliation(s)
- Cole Boyle
- Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2 Canada
| | - Peter M. Lansdorp
- Terry Fox Laboratory, BC Cancer Agency, Vancouver, BC V5Z 1L3, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Leah Edelstein-Keshet
- Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2 Canada
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3
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Wang Y, Su M, Chen Y, Huang X, Ruan L, Lv Q, Li L. Research progress on the role and mechanism of DNA damage repair in germ cell development. Front Endocrinol (Lausanne) 2023; 14:1234280. [PMID: 37529603 PMCID: PMC10390305 DOI: 10.3389/fendo.2023.1234280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 06/28/2023] [Indexed: 08/03/2023] Open
Abstract
In the complex and dynamic processes of replication, transcription, and translation of DNA molecules, a large number of replication errors or damage can occur which lead to obstacles in the development process of germ cells and result in a decreased reproductive rate. DNA damage repair has attracted widespread attention due to its important role in the maintenance and regulation of germ cells. This study reports on a systematic review of the role and mechanism of DNA damage repair in germline development. First, the causes, detection methods, and repair methods of DNA damage, and the mechanism of DNA damage repair are summarized. Second, a summary of the causes of abnormal DNA damage repair in germ cells is introduced along with common examples, and the relevant effects of germ cell damage. Third, we introduce the application of drugs related to DNA damage repair in the treatment of reproductive diseases and related surgical treatment of abnormal DNA damage, and summarize various applications of DNA damage repair in germ cells. Finally, a summary and discussion is given of the current deficiencies in DNA damage repair during germ cell development and future research development. The purpose of this paper is to provide researchers engaged in relevant fields with a further systematic understanding of the relevant applications of DNA damage repair in germ cells and to gain inspiration from it to provide new research ideas for related fields.
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Affiliation(s)
- Yan Wang
- College of Basic Medical Sciences, China Three Gorges University, Yichang, Hubei, China
- College of Biology & Pharmacy, Yulin Normal University, Yulin, China
| | - Mengrong Su
- College of Basic Medical Sciences, China Three Gorges University, Yichang, Hubei, China
- College of Biology & Pharmacy, Yulin Normal University, Yulin, China
| | - Yujie Chen
- College of Biology & Pharmacy, Yulin Normal University, Yulin, China
| | - Xinyu Huang
- College of Biology & Pharmacy, Yulin Normal University, Yulin, China
| | - Lian Ruan
- College of Biology & Pharmacy, Yulin Normal University, Yulin, China
| | - Qizhuang Lv
- College of Basic Medical Sciences, China Three Gorges University, Yichang, Hubei, China
- College of Biology & Pharmacy, Yulin Normal University, Yulin, China
| | - Li Li
- College of Biology & Pharmacy, Yulin Normal University, Yulin, China
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4
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Ranisch R, Trettenbach K, Arnason G. Initial heritable genome editing: mapping a responsible pathway from basic research to the clinic. MEDICINE, HEALTH CARE, AND PHILOSOPHY 2023; 26:21-35. [PMID: 36414813 PMCID: PMC9984515 DOI: 10.1007/s11019-022-10115-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 09/04/2022] [Accepted: 09/11/2022] [Indexed: 06/16/2023]
Abstract
Following the Second Summit on Human Gene Editing in Hong Kong in 2018, where the birth of two girls with germline genome editing was revealed, the need for a responsible pathway to the clinical application of human germline genome editing has been repeatedly emphasised. This paper aims to contribute to the ongoing discussion on research ethics issues in germline genome editing by exploring key issues related to the initial applications of CRISPR in reproductive medicine. Following an overview of the current discussion on bringing germline genome editing into clinical practice, we outline the specific challenges associated with such interventions and the features that distinguish them from conventional clinical testing of new medical treatments. We then review proposed ethical requirements for initial heritable genome editing, such as the absence of reasonable alternatives, the existence of sufficient and reliable preclinical data, appropriate informed consent, requirements related to safety, and long-term follow-up.
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Affiliation(s)
- Robert Ranisch
- Junior Professorship for Medical Ethics with a Focus on Digitization, Faculty of Health Sciences Brandenburg, University of Potsdam, Am Mühlberg 9, 14476, Potsdam, Golm, Germany.
- Research Unit "Ethics of Genome Editing", Institute of Ethics and History of Medicine, University of Tübingen, Gartenstraße 47, D-72074, Tübingen, Germany.
| | - Katharina Trettenbach
- Junior Professorship for Medical Ethics with a Focus on Digitization, Faculty of Health Sciences Brandenburg, University of Potsdam, Am Mühlberg 9, 14476, Potsdam, Golm, Germany
- Research Unit "Ethics of Genome Editing", Institute of Ethics and History of Medicine, University of Tübingen, Gartenstraße 47, D-72074, Tübingen, Germany
| | - Gardar Arnason
- Research Unit "Ethics of Genome Editing", Institute of Ethics and History of Medicine, University of Tübingen, Gartenstraße 47, D-72074, Tübingen, Germany
- University of Akureyri, Norðurslóð 2, 600, Akureyri, Iceland
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5
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Mohiuddin M, Kooy RF, Pearson CE. De novo mutations, genetic mosaicism and human disease. Front Genet 2022; 13:983668. [PMID: 36226191 PMCID: PMC9550265 DOI: 10.3389/fgene.2022.983668] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/08/2022] [Indexed: 11/23/2022] Open
Abstract
Mosaicism—the existence of genetically distinct populations of cells in a particular organism—is an important cause of genetic disease. Mosaicism can appear as de novo DNA mutations, epigenetic alterations of DNA, and chromosomal abnormalities. Neurodevelopmental or neuropsychiatric diseases, including autism—often arise by de novo mutations that usually not present in either of the parents. De novo mutations might occur as early as in the parental germline, during embryonic, fetal development, and/or post-natally, through ageing and life. Mutation timing could lead to mutation burden of less than heterozygosity to approaching homozygosity. Developmental timing of somatic mutation attainment will affect the mutation load and distribution throughout the body. In this review, we discuss the timing of de novo mutations, spanning from mutations in the germ lineage (all ages), to post-zygotic, embryonic, fetal, and post-natal events, through aging to death. These factors can determine the tissue specific distribution and load of de novo mutations, which can affect disease. The disease threshold burden of somatic de novo mutations of a particular gene in any tissue will be important to define.
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Affiliation(s)
- Mohiuddin Mohiuddin
- Program of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- *Correspondence: Mohiuddin Mohiuddin, ; Christopher E. Pearson,
| | - R. Frank Kooy
- Department of Medical Genetics, University of Antwerp, Edegem, Belgium
| | - Christopher E. Pearson
- Program of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- *Correspondence: Mohiuddin Mohiuddin, ; Christopher E. Pearson,
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6
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Wang RJ, Raveendran M, Harris RA, Murphy WJ, Lyons LA, Rogers J, Hahn MW. De novo Mutations in Domestic Cat are Consistent with an Effect of Reproductive Longevity on Both the Rate and Spectrum of Mutations. Mol Biol Evol 2022; 39:msac147. [PMID: 35771663 PMCID: PMC9290555 DOI: 10.1093/molbev/msac147] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The mutation rate is a fundamental evolutionary parameter with direct and appreciable effects on the health and function of individuals. Here, we examine this important parameter in the domestic cat, a beloved companion animal as well as a valuable biomedical model. We estimate a mutation rate of 0.86 × 10-8 per bp per generation for the domestic cat (at an average parental age of 3.8 years). We find evidence for a significant paternal age effect, with more mutations transmitted by older sires. Our analyses suggest that the cat and the human have accrued similar numbers of mutations in the germline before reaching sexual maturity. The per-generation mutation rate in the cat is 28% lower than what has been observed in humans, but is consistent with the shorter generation time in the cat. Using a model of reproductive longevity, which takes into account differences in the reproductive age and time to sexual maturity, we are able to explain much of the difference in per-generation rates between species. We further apply our reproductive longevity model in a novel analysis of mutation spectra and find that the spectrum for the cat resembles the human mutation spectrum at a younger age of reproduction. Together, these results implicate changes in life-history as a driver of mutation rate evolution between species. As the first direct observation of the paternal age effect outside of rodents and primates, our results also suggest a phenomenon that may be universal among mammals.
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Affiliation(s)
- Richard J Wang
- Department of Biology, Indiana University, Bloomington, IN, 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
| | - 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
| | - William J Murphy
- Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA
| | - Leslie A Lyons
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, 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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7
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Wang X, Hu W, Li X, Huang D, Li Q, Chan H, Zeng J, Xie C, Chen H, Liu X, Gin T, Wang MH, Cheng ASL, Kang W, To KF, Plewczynski D, Zhang Q, Chen X, Chan DCW, Ko H, Wong SH, Yu J, Chan MTV, Zhang L, Wu WKK. Single-Hit Inactivation Drove Tumor Suppressor Genes Out of the X Chromosome during Evolution. Cancer Res 2022; 82:1482-1491. [PMID: 35247889 DOI: 10.1158/0008-5472.can-21-3458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/24/2022] [Accepted: 03/01/2022] [Indexed: 11/16/2022]
Abstract
Cancer-related genes are under intense evolutionary pressure. In this study, we conjecture that X-linked tumor suppressor genes (TSG) are not protected by the Knudson's two-hit mechanism and are therefore subject to negative selection. Accordingly, nearly all mammalian species exhibited lower TSG-to-noncancer gene ratios on their X chromosomes compared with nonmammalian species. Synteny analysis revealed that mammalian X-linked TSGs were depleted shortly after the emergence of the XY sex-determination system. A phylogeny-based model unveiled a higher X chromosome-to-autosome relocation flux for human TSGs. This was verified in other mammals by assessing the concordance/discordance of chromosomal locations of mammalian TSGs and their orthologs in Xenopus tropicalis. In humans, X-linked TSGs are younger or larger in size. Consistently, pan-cancer analysis revealed more frequent nonsynonymous somatic mutations of X-linked TSGs. These findings suggest that relocation of TSGs out of the X chromosome could confer a survival advantage by facilitating evasion of single-hit inactivation. SIGNIFICANCE This work unveils extensive trafficking of TSGs from the X chromosome to autosomes during evolution, thus identifying X-linked TSGs as a genetic Achilles' heel in tumor suppression.
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Affiliation(s)
- Xiansong Wang
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,CUHK Shenzhen Research Institute, Shenzhen, Guangdong, People's Republic of China
| | - Wei Hu
- Department of Gastroenterology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, People's Republic of China
| | - Xiangchun Li
- Public Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China
| | - Dan Huang
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Qing Li
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Hung Chan
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Judeng Zeng
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Chuan Xie
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Huarong Chen
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Xiaodong Liu
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Tony Gin
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Maggie Haitian Wang
- CUHK Shenzhen Research Institute, Shenzhen, Guangdong, People's Republic of China.,Division of Biostatistics, Center for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | | | - Wei Kang
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Ka-Fai To
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Dariusz Plewczynski
- Center of New Technologies, University of Warsaw, Banacha 2c, Warsaw, Poland.,Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
| | - Qingpeng Zhang
- School of Data Science, City University of Hong Kong, Hong Kong, People's Republic of China
| | - Xiaoting Chen
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Danny Cheuk Wing Chan
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Gerald Choa Neuroscience Center, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Ho Ko
- Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Gerald Choa Neuroscience Center, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Margaret K. L. Cheung Research Center for Management of Parkinsonism, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Sunny Hei Wong
- CUHK Shenzhen Research Institute, Shenzhen, Guangdong, People's Republic of China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Jun Yu
- CUHK Shenzhen Research Institute, Shenzhen, Guangdong, People's Republic of China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,State Key Laboratory of Digestive Diseases, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Matthew Tak Vai Chan
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,CUHK Shenzhen Research Institute, Shenzhen, Guangdong, People's Republic of China.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Lin Zhang
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,CUHK Shenzhen Research Institute, Shenzhen, Guangdong, People's Republic of China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - William Ka Kei Wu
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,CUHK Shenzhen Research Institute, Shenzhen, Guangdong, People's Republic of China.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, People's Republic of China.,State Key Laboratory of Digestive Diseases, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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8
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Telomeres, aging, and cancer: the big picture. Blood 2022; 139:813-821. [PMID: 35142846 DOI: 10.1182/blood.2021014299] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/16/2021] [Indexed: 12/13/2022] Open
Abstract
The role of telomeres in human health and disease is yet to be fully understood. The limitations of mouse models for the study of human telomere biology and difficulties in accurately measuring the length of telomere repeats in chromosomes and cells have diverted attention from many important and relevant observations. The goal of this perspective is to summarize some of these observations and to discuss the antagonistic role of telomere loss in aging and cancer in the context of developmental biology, cell turnover, and evolution. It is proposed that both damage to DNA and replicative loss of telomeric DNA contribute to aging in humans, with the differences in leukocyte telomere length between humans being linked to the risk of developing specific diseases. These ideas are captured in the Telomere Erosion in Disposable Soma theory of aging proposed herein.
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9
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Moore L, Cagan A, Coorens THH, Neville MDC, Sanghvi R, Sanders MA, Oliver TRW, Leongamornlert D, Ellis P, Noorani A, Mitchell TJ, Butler TM, Hooks Y, Warren AY, Jorgensen M, Dawson KJ, Menzies A, O'Neill L, Latimer C, Teng M, van Boxtel R, Iacobuzio-Donahue CA, Martincorena I, Heer R, Campbell PJ, Fitzgerald RC, Stratton MR, Rahbari R. The mutational landscape of human somatic and germline cells. Nature 2021; 597:381-386. [PMID: 34433962 DOI: 10.1038/s41586-021-03822-7] [Citation(s) in RCA: 139] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 07/13/2021] [Indexed: 12/31/2022]
Abstract
Over the course of an individual's lifetime, normal human cells accumulate mutations1. Here we compare the mutational landscape in 29 cell types from the soma and germline using multiple samples from the same individuals. Two ubiquitous mutational signatures, SBS1 and SBS5/40, accounted for the majority of acquired mutations in most cell types, but their absolute and relative contributions varied substantially. SBS18, which potentially reflects oxidative damage2, and several additional signatures attributed to exogenous and endogenous exposures contributed mutations to subsets of cell types. The rate of mutation was lowest in spermatogonia, the stem cells from which sperm are generated and from which most genetic variation in the human population is thought to originate. This was due to low rates of ubiquitous mutational processes and may be partially attributable to a low rate of cell division in basal spermatogonia. These results highlight similarities and differences in the maintenance of the germline and soma.
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Affiliation(s)
- Luiza Moore
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
- Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Alex Cagan
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Tim H H Coorens
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Matthew D C Neville
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Rashesh Sanghvi
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Mathijs A Sanders
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
- Department of Hematology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Thomas R W Oliver
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
- Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Peter Ellis
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
- Inivata, Cambridge, UK
| | - Ayesha Noorani
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Thomas J Mitchell
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
- Department of Surgery, University of Cambridge, Cambridge, UK
| | - Timothy M Butler
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Yvette Hooks
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Anne Y Warren
- Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Mette Jorgensen
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Kevin J Dawson
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Andrew Menzies
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Laura O'Neill
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Calli Latimer
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Mabel Teng
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Ruben van Boxtel
- Princess Máxima Center for Pediatric Oncology and Oncode Institute, Utrecht, Netherlands
| | - Christine A Iacobuzio-Donahue
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Inigo Martincorena
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | - Rakesh Heer
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Newcastle Urology, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Peter J Campbell
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK
| | | | - Michael R Stratton
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK.
| | - Raheleh Rahbari
- Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK.
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10
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Bergeron LA, Besenbacher S, Bakker J, Zheng J, Li P, Pacheco G, Sinding MHS, Kamilari M, Gilbert MTP, Schierup MH, Zhang G. The germline mutational process in rhesus macaque and its implications for phylogenetic dating. Gigascience 2021; 10:giab029. [PMID: 33954793 PMCID: PMC8099771 DOI: 10.1093/gigascience/giab029] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 01/05/2021] [Accepted: 03/29/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Understanding the rate and pattern of germline mutations is of fundamental importance for understanding evolutionary processes. RESULTS Here we analyzed 19 parent-offspring trios of rhesus macaques (Macaca mulatta) at high sequencing coverage of ∼76× per individual and estimated a mean rate of 0.77 × 10-8de novo mutations per site per generation (95% CI: 0.69 × 10-8 to 0.85 × 10-8). By phasing 50% of the mutations to parental origins, we found that the mutation rate is positively correlated with the paternal age. The paternal lineage contributed a mean of 81% of the de novo mutations, with a trend of an increasing male contribution for older fathers. Approximately 3.5% of de novo mutations were shared between siblings, with no parental bias, suggesting that they arose from early development (postzygotic) stages. Finally, the divergence times between closely related primates calculated on the basis of the yearly mutation rate of rhesus macaque generally reconcile with divergence estimated with molecular clock methods, except for the Cercopithecoidea/Hominoidea molecular divergence dated at 58 Mya using our new estimate of the yearly mutation rate. CONCLUSIONS When compared to the traditional molecular clock methods, new estimated rates from pedigree samples can provide insights into the evolution of well-studied groups such as primates.
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Affiliation(s)
- Lucie A Bergeron
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen Ø, Denmark
| | - Søren Besenbacher
- Department of Molecular Medicine, Aarhus University, Brendstrupgårdsvej 21A, 8200 Aarhus N, Denmark
| | - Jaco Bakker
- Animal Science Department, Biomedical Primate Research Centre, Lange Kleiweg 161, 2288 GJ Rijswijk, Netherlands
| | - Jiao Zheng
- BGI-Shenzhen, Shenzhen 518083, Guangdong, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, Guangdong, China
| | - Panyi Li
- BGI-Shenzhen, Shenzhen 518083, Guangdong, China
| | - George Pacheco
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Oester Voldgade 5-7, 1350 Copenhagen K, Denmark
| | - Mikkel-Holger S Sinding
- Department of genetics, Trinity College Dublin, 2 college green, D02 VF25, Dublin, Ireland
- Greenland Institute of Natural Resources, Kivioq 2, 3900 Nuuk, Greenland
| | - Maria Kamilari
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen Ø, Denmark
| | - M Thomas P Gilbert
- Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Oester Voldgade 5-7, 1350 Copenhagen K, Denmark
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Mikkel H Schierup
- Bioinformatics Research Centre, Aarhus University, C.F.Møllers Allé 8, 8000, Aarhus C, Denmark
| | - Guojie Zhang
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen Ø, Denmark
- BGI-Shenzhen, Shenzhen 518083, Guangdong, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
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11
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Jia X, Zhang Q, Jiang M, Huang J, Yu L, Traw MB, Tian D, Hurst LD, Yang S. Mitotic gene conversion can be as important as meiotic conversion in driving genetic variability in plants and other species without early germline segregation. PLoS Biol 2021; 19:e3001164. [PMID: 33750968 PMCID: PMC8016264 DOI: 10.1371/journal.pbio.3001164] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 04/01/2021] [Accepted: 03/02/2021] [Indexed: 12/24/2022] Open
Abstract
In contrast to common meiotic gene conversion, mitotic gene conversion, because it is so rare, is often ignored as a process influencing allelic diversity. We show that if there is a large enough number of premeiotic cell divisions, as seen in many organisms without early germline sequestration, such as plants, this is an unsafe position. From examination of 1.1 million rice plants, we determined that the rate of mitotic gene conversion events, per mitosis, is 2 orders of magnitude lower than the meiotic rate. However, owing to the large number of mitoses between zygote and gamete and because of long mitotic tract lengths, meiotic and mitotic gene conversion can be of approximately equivalent importance in terms of numbers of markers converted from zygote to gamete. This holds even if we assume a low number of premeiotic cell divisions (approximately 40) as witnessed in Arabidopsis. A low mitotic rate associated with long tracts is also seen in yeast, suggesting generality of results. For species with many mitoses between each meiotic event, mitotic gene conversion should not be overlooked. Gene conversion associated with meiosis has long been a focus of attention in population genomics, but mitotic conversion has been relatively overlooked as it was thought to be rare. Analysis in plants suggests that this could be a mistake; long tract lengths and multiple mitoses in species lacking germline sequestration suggest that mitotic conversion, although rare per mitosis, should not be ignored.
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Affiliation(s)
- Xianqing Jia
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.,State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Qijun Zhang
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Mengmeng Jiang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Ju Huang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Luyao Yu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Milton Brian Traw
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Dacheng Tian
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.,State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Laurence D Hurst
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| | - Sihai Yang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.,State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
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12
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Differences between germline genomes of monozygotic twins. Nat Genet 2021; 53:27-34. [PMID: 33414551 DOI: 10.1038/s41588-020-00755-1] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 11/20/2020] [Indexed: 12/16/2022]
Abstract
Despite the important role that monozygotic twins have played in genetics research, little is known about their genomic differences. Here we show that monozygotic twins differ on average by 5.2 early developmental mutations and that approximately 15% of monozygotic twins have a substantial number of these early developmental mutations specific to one of them. Using the parents and offspring of twins, we identified pre-twinning mutations. We observed instances where a twin was formed from a single cell lineage in the pre-twinning cell mass and instances where a twin was formed from several cell lineages. CpG>TpG mutations increased in frequency with embryonic development, coinciding with an increase in DNA methylation. Our results indicate that allocations of cells during development shapes genomic differences between monozygotic twins.
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13
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Wu FL, Strand AI, Cox LA, Ober C, Wall JD, Moorjani P, Przeworski M. A comparison of humans and baboons suggests germline mutation rates do not track cell divisions. PLoS Biol 2020; 18:e3000838. [PMID: 32804933 PMCID: PMC7467331 DOI: 10.1371/journal.pbio.3000838] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 09/02/2020] [Accepted: 07/28/2020] [Indexed: 12/19/2022] Open
Abstract
In humans, most germline mutations are inherited from the father. This observation has been widely interpreted as reflecting the replication errors that accrue during spermatogenesis. If so, the male bias in mutation should be substantially lower in a closely related species with similar rates of spermatogonial stem cell divisions but a shorter mean age of reproduction. To test this hypothesis, we resequenced two 3-4 generation nuclear families (totaling 29 individuals) of olive baboons (Papio anubis), who reproduce at approximately 10 years of age on average, and analyzed the data in parallel with three 3-generation human pedigrees (26 individuals). We estimated a mutation rate per generation in baboons of 0.57×10-8 per base pair, approximately half that of humans. Strikingly, however, the degree of male bias in germline mutations is approximately 4:1, similar to that of humans-indeed, a similar male bias is seen across mammals that reproduce months, years, or decades after birth. These results mirror the finding in humans that the male mutation bias is stable with parental ages and cast further doubt on the assumption that germline mutations track cell divisions. Our mutation rate estimates for baboons raise a further puzzle, suggesting a divergence time between apes and Old World monkeys of 65 million years, too old to be consistent with the fossil record; reconciling them now requires not only a slowdown of the mutation rate per generation in humans but also in baboons.
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Affiliation(s)
- Felix L. Wu
- Department of Systems Biology, Columbia University, New York, New York, United States of America
- Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, New York, United States of America
| | - Alva I. Strand
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
| | - Laura A. Cox
- Center for Precision Medicine, Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Carole Ober
- Department of Human Genetics, The University of Chicago, Chicago, Illinois, United States of America
| | - Jeffrey D. Wall
- Institute for Human Genetics, Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
| | - Priya Moorjani
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
| | - Molly Przeworski
- Department of Systems Biology, Columbia University, New York, New York, United States of America
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
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14
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Wang RJ, Thomas GWC, Raveendran M, Harris RA, Doddapaneni H, Muzny DM, Capitanio JP, Radivojac P, Rogers J, Hahn MW. Paternal age in rhesus macaques is positively associated with germline mutation accumulation but not with measures of offspring sociability. Genome Res 2020; 30:826-834. [PMID: 32461224 PMCID: PMC7370888 DOI: 10.1101/gr.255174.119] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 05/21/2020] [Indexed: 01/26/2023]
Abstract
Mutation is the ultimate source of all genetic novelty and the cause of heritable genetic disorders. Mutational burden has been linked to complex disease, including neurodevelopmental disorders such as schizophrenia and autism. The rate of mutation is a fundamental genomic parameter and direct estimates of this parameter have been enabled by accurate comparisons of whole-genome sequences between parents and offspring. Studies in humans have revealed that the paternal age at conception explains most of the variation in mutation rate: Each additional year of paternal age in humans leads to approximately 1.5 additional inherited mutations. Here, we present an estimate of the de novo mutation rate in the rhesus macaque (Macaca mulatta) using whole-genome sequence data from 32 individuals in four large pedigrees. We estimated an average mutation rate of 0.58 × 10−8 per base pair per generation (at an average parental age of 7.5 yr), much lower than found in direct estimates from great apes. As in humans, older macaque fathers transmit more mutations to their offspring, increasing the per generation mutation rate by 4.27 × 10−10 per base pair per year. We found that the rate of mutation accumulation after puberty is similar between macaques and humans, but that a smaller number of mutations accumulate before puberty in macaques. We additionally investigated the role of paternal age on offspring sociability, a proxy for normal neurodevelopment, by studying 203 male macaques in large social groups.
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Affiliation(s)
- Richard J Wang
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA
| | - Gregg W C Thomas
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA.,Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Harshavardhan Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - John P Capitanio
- California National Primate Research Center, University of California-Davis, Davis, California 95616, USA
| | - Predrag Radivojac
- Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA.,Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts 02115, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA.,Department of Computer Science, Indiana University, Bloomington, Indiana 47405, USA
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15
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Oota S. Somatic mutations - Evolution within the individual. Methods 2019; 176:91-98. [PMID: 31711929 DOI: 10.1016/j.ymeth.2019.11.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 10/31/2019] [Accepted: 11/07/2019] [Indexed: 02/08/2023] Open
Abstract
With the rapid advancement of sequencing technologies over the last two decades, it is becoming feasible to detect rare variants from somatic tissue samples. Studying such somatic mutations can provide deep insights into various senescence-related diseases, including cancer, inflammation, and sporadic psychiatric disorders. While it is still a difficult task to identify true somatic mutations, relentless efforts to combine experimental and computational methods have made it possible to obtain reliable data. Furthermore, state-of-the-art machine learning approaches have drastically improved the efficiency and sensitivity of these methods. Meanwhile, we can regard somatic mutations as a counterpart of germline mutations, and it is possible to apply well-formulated mathematical frameworks developed for population genetics and molecular evolution to analyze this 'somatic evolution'. For example, retrospective cell lineage tracing is a promising technique to elucidate the mechanism of pre-diseases using single-cell RNA-sequencing (scRNA-seq) data.
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Affiliation(s)
- Satoshi Oota
- Image Processing Research Team, Center for Advanced Photonics, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
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16
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Goldmann JM, Veltman JA, Gilissen C. De Novo Mutations Reflect Development and Aging of the Human Germline. Trends Genet 2019; 35:828-839. [PMID: 31610893 DOI: 10.1016/j.tig.2019.08.005] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 08/15/2019] [Accepted: 08/28/2019] [Indexed: 01/19/2023]
Abstract
Human germline de novo mutations (DNMs) are both a driver of evolution and an important cause of genetic diseases. In the past few years, whole-genome sequencing (WGS) of parent-offspring trios has facilitated the large-scale detection and study of human DNMs, which has led to exciting discoveries. The overarching theme of all of these studies is that the DNMs of an individual are a complex mixture of mutations that arise through different biological processes acting at different times during human development and life.
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Affiliation(s)
- J M Goldmann
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands
| | - J A Veltman
- Institute of Genetic Medicine, International Centre for Life, Newcastle University, Newcastle upon Tyne, UK; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands
| | - C Gilissen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
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17
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Mello B, Schrago CG. The Estimated Pacemaker for Great Apes Supports the Hominoid Slowdown Hypothesis. Evol Bioinform Online 2019; 15:1176934319855988. [PMID: 31223232 PMCID: PMC6566470 DOI: 10.1177/1176934319855988] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 05/17/2019] [Indexed: 11/16/2022] Open
Abstract
The recent surge of genomic data has prompted the investigation of substitution rate variation across the genome, as well as among lineages. Evolutionary trees inferred from distinct genomic regions may display branch lengths that differ between loci by simple proportionality constants, indicating that rate variation follows a pacemaker model, which may be attributed to lineage effects. Analyses of genes from diverse biological clades produced contrasting results, supporting either this model or alternative scenarios where multiple pacemakers exist. So far, an evaluation of the pacemaker hypothesis for all great apes has never been carried out. In this work, we tested whether the evolutionary rates of hominids conform to pacemakers, which were inferred accounting for gene tree/species tree discordance. For higher precision, substitution rates in branches were estimated with a calibration-free approach, the relative rate framework. A predominant evolutionary trend in great apes was evidenced by the recovery of a large pacemaker, encompassing most hominid genomic regions. In addition, the majority of genes followed a pace of evolution that was closely related to the strict molecular clock. However, slight rate decreases were recovered in the internal branches leading to humans, corroborating the hominoid slowdown hypothesis. Our findings suggest that in great apes, life history traits were the major drivers of substitution rate variation across the genome.
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Affiliation(s)
- Beatriz Mello
- Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Carlos G Schrago
- Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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18
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Gao Z, Moorjani P, Sasani TA, Pedersen BS, Quinlan AR, Jorde LB, Amster G, Przeworski M. Overlooked roles of DNA damage and maternal age in generating human germline mutations. Proc Natl Acad Sci U S A 2019; 116:9491-9500. [PMID: 31019089 PMCID: PMC6511033 DOI: 10.1073/pnas.1901259116] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The textbook view that most germline mutations in mammals arise from replication errors is indirectly supported by the fact that there are both more mutations and more cell divisions in the male than in the female germline. When analyzing large de novo mutation datasets in humans, we find multiple lines of evidence that call that view into question. Notably, despite the drastic increase in the ratio of male to female germ cell divisions after the onset of spermatogenesis, even young fathers contribute three times more mutations than young mothers, and this ratio barely increases with parental age. This surprising finding points to a substantial contribution of damage-induced mutations. Indeed, C-to-G transversions and CpG transitions, which together constitute over one-fourth of all base substitution mutations, show genomic distributions and sex-specific age dependencies indicative of double-strand break repair and methylation-associated damage, respectively. Moreover, we find evidence that maternal age at conception influences the mutation rate both because of the accumulation of damage in oocytes and potentially through an influence on the number of postzygotic mutations in the embryo. These findings reveal underappreciated roles of DNA damage and maternal age in the genesis of human germline mutations.
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Affiliation(s)
- Ziyue Gao
- Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305;
- Department of Genetics, Stanford University, Stanford, CA 94305
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720
- Center for Computational Biology, University of California, Berkeley, CA 94720
| | - Thomas A Sasani
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Brent S Pedersen
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Aaron R Quinlan
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
- Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84108
| | - Lynn B Jorde
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Guy Amster
- Department of Biological Sciences, Columbia University, New York, NY 10027
| | - Molly Przeworski
- Department of Biological Sciences, Columbia University, New York, NY 10027;
- Department of Systems Biology, Columbia University, New York, NY 10027
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19
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Uspenskaya NY, Akopov SB, Snezhkov EV, Sverdlov ED. The Rate of Human Germline Mutations—Variable Factor of Evolution and Diseases. RUSS J GENET+ 2019. [DOI: 10.1134/s1022795419050144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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20
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Direct estimation of mutations in great apes reconciles phylogenetic dating. Nat Ecol Evol 2019; 3:286-292. [PMID: 30664699 DOI: 10.1038/s41559-018-0778-x] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 12/05/2018] [Indexed: 01/23/2023]
Abstract
The human mutation rate per generation estimated from trio sequencing has revealed an almost linear relationship with the age of the father and the age of the mother, with fathers contributing about three times as many mutations per year as mothers. The yearly trio-based mutation rate estimate of around 0.43 × 10-9 is markedly lower than previous indirect estimates of about 1 × 10-9 per year from phylogenetic comparisons of the great apes calibrated by fossil evidence. This suggests either a slowdown in the accumulation of mutations per year in the human lineage over the past 10 million years or an inaccurate interpretation of the fossil record. Here we inferred de novo mutations in chimpanzee, gorilla, and orangutan parent-offspring trios. Extrapolating the relationship between the mutation rate and the age of parents from humans to these other great apes, we estimated that each species has higher mutation rates per year by factors of 1.50 ± 0.10, 1.51 ± 0.23, and 1.42 ± 0.22 for chimpanzee, gorilla, and orangutan, respectively, and by a factor of 1.48 ± 0.08 for the three species combined. These estimates suggest an appreciable slowdown in the yearly mutation rate in the human lineage that is likely to be recent as genome comparisons almost adhere to a molecular clock. If the nonhuman rates rather than the human rate are extrapolated over the phylogeny of the great apes, we estimate divergence and speciation times that are much more in line with the fossil record and the biogeography.
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21
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Jónsson H, Sulem P, Arnadottir GA, Pálsson G, Eggertsson HP, Kristmundsdottir S, Zink F, Kehr B, Hjorleifsson KE, Jensson BÖ, Jonsdottir I, Marelsson SE, Gudjonsson SA, Gylfason A, Jonasdottir A, Jonasdottir A, Stacey SN, Magnusson OT, Thorsteinsdottir U, Masson G, Kong A, Halldorsson BV, Helgason A, Gudbjartsson DF, Stefansson K. Multiple transmissions of de novo mutations in families. Nat Genet 2018; 50:1674-1680. [DOI: 10.1038/s41588-018-0259-9] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 09/19/2018] [Indexed: 11/09/2022]
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22
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Thomas GWC, Wang RJ, Puri A, Harris RA, Raveendran M, Hughes DST, Murali SC, Williams LE, Doddapaneni H, Muzny DM, Gibbs RA, Abee CR, Galinski MR, Worley KC, Rogers J, Radivojac P, Hahn MW. Reproductive Longevity Predicts Mutation Rates in Primates. Curr Biol 2018; 28:3193-3197.e5. [PMID: 30270182 DOI: 10.1016/j.cub.2018.08.050] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/26/2018] [Accepted: 08/22/2018] [Indexed: 12/30/2022]
Abstract
Mutation rates vary between species across several orders of magnitude, with larger organisms having the highest per-generation mutation rates. Hypotheses for this pattern typically invoke physiological or population-genetic constraints imposed on the molecular machinery preventing mutations [1]. However, continuing germline cell division in multicellular eukaryotes means that organisms with longer generation times and of larger size will leave more mutations to their offspring simply as a byproduct of their increased lifespan [2, 3]. Here, we deeply sequence the genomes of 30 owl monkeys (Aotus nancymaae) from six multi-generation pedigrees to demonstrate that paternal age is the major factor determining the number of de novo mutations in this species. We find that owl monkeys have an average mutation rate of 0.81 × 10-8 per site per generation, roughly 32% lower than the estimate in humans. Based on a simple model of reproductive longevity that does not require any changes to the mutational machinery, we show that this is the expected mutation rate in owl monkeys. We further demonstrate that our model predicts species-specific mutation rates in other primates, including study-specific mutation rates in humans based on the average paternal age. Our results suggest that variation in life history traits alone can explain variation in the per-generation mutation rate among primates, and perhaps among a wide range of multicellular organisms.
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Affiliation(s)
- Gregg W C Thomas
- Department of Biology, Indiana University, 107 S. Indiana Avenue, Bloomington, IN 47405, USA; Department of Computer Science, Indiana University, 107 S. Indiana Avenue, Bloomington, IN 47405, USA.
| | - Richard J Wang
- Department of Biology, Indiana University, 107 S. Indiana Avenue, Bloomington, IN 47405, USA
| | - Arthi Puri
- Department of Computer Science, Indiana University, 107 S. Indiana Avenue, Bloomington, IN 47405, USA
| | - R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Daniel S T Hughes
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Shwetha C Murali
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Lawrence E Williams
- Keeling Center for Comparative Medicine and Research, University of Texas, MD Anderson Cancer Center, 650 Cool Water Drive, Bastrop, TX 78602, USA
| | - Harsha Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Christian R Abee
- Keeling Center for Comparative Medicine and Research, University of Texas, MD Anderson Cancer Center, 650 Cool Water Drive, Bastrop, TX 78602, USA
| | - Mary R Galinski
- Emory Vaccine Center, Yerkes National Primate Research Center, Emory University, 201 Dowman Drive, Atlanta, GA, USA; Division of Infectious Diseases, Department of Medicine, Emory University, 201 Dowman Drive, Atlanta, GA, USA
| | - Kim C Worley
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Predrag Radivojac
- Department of Computer Science, Indiana University, 107 S. Indiana Avenue, Bloomington, IN 47405, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, 107 S. Indiana Avenue, Bloomington, IN 47405, USA; Department of Computer Science, Indiana University, 107 S. Indiana Avenue, Bloomington, IN 47405, USA.
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23
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Morgan AP, Pardo-Manuel de Villena F. Sequence and Structural Diversity of Mouse Y Chromosomes. Mol Biol Evol 2018; 34:3186-3204. [PMID: 29029271 DOI: 10.1093/molbev/msx250] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Over the 180 My since their origin, the sex chromosomes of mammals have evolved a gene repertoire highly specialized for function in the male germline. The mouse Y chromosome is unique among mammalian Y chromosomes characterized to date in that it is large, gene-rich and euchromatic. Yet, little is known about its diversity in natural populations. Here, we take advantage of published whole-genome sequencing data to survey the diversity of sequence and copy number of sex-linked genes in three subspecies of house mice. Copy number of genes on the repetitive long arm of both sex chromosomes is highly variable, but sequence diversity in nonrepetitive regions is decreased relative to expectations based on autosomes. We use simulations and theory to show that this reduction in sex-linked diversity is incompatible with neutral demographic processes alone, but is consistent with recent positive selection on genes active during spermatogenesis. Our results support the hypothesis that the mouse sex chromosomes are engaged in ongoing intragenomic conflict.
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Affiliation(s)
- Andrew P Morgan
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
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24
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Yang Z, Donoghue PCJ. Dating species divergences using rocks and clocks. Philos Trans R Soc Lond B Biol Sci 2017; 371:rstb.2015.0126. [PMID: 27325825 DOI: 10.1098/rstb.2015.0126] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2016] [Indexed: 11/12/2022] Open
Affiliation(s)
- Ziheng Yang
- Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK
| | - Philip C J Donoghue
- School of Earth Sciences, University of Bristol, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, UK
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25
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Haploid selection within a single ejaculate increases offspring fitness. Proc Natl Acad Sci U S A 2017; 114:8053-8058. [PMID: 28698378 DOI: 10.1073/pnas.1705601114] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
An inescapable consequence of sex in eukaryotes is the evolution of a biphasic life cycle with alternating diploid and haploid phases. The occurrence of selection during the haploid phase can have far-reaching consequences for fundamental evolutionary processes including the rate of adaptation, the extent of inbreeding depression, and the load of deleterious mutations, as well as for applied research into fertilization technology. Although haploid selection is well established in plants, current dogma assumes that in animals, intact fertile sperm within a single ejaculate are equivalent at siring viable offspring. Using the zebrafish Danio rerio, we show that selection on phenotypic variation among intact fertile sperm within an ejaculate affects offspring fitness. Longer-lived sperm sired embryos with increased survival and a reduced number of apoptotic cells, and adult male offspring exhibited higher fitness. The effect on embryo viability was carried over into the second generation without further selection and was equally strong in both sexes. Sperm pools selected by motile phenotypes differed genetically at numerous sites throughout the genome. Our findings clearly link within-ejaculate variation in sperm phenotype to offspring fitness and sperm genotype in a vertebrate and have major implications for adaptive evolution.
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26
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Mathieson I, Reich D. Differences in the rare variant spectrum among human populations. PLoS Genet 2017; 13:e1006581. [PMID: 28146552 PMCID: PMC5310914 DOI: 10.1371/journal.pgen.1006581] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 02/15/2017] [Accepted: 01/12/2017] [Indexed: 12/30/2022] Open
Abstract
Mutations occur at vastly different rates across the genome, and populations, leading to differences in the spectrum of segregating polymorphisms. Here, we investigate variation in the rare variant spectrum in a sample of human genomes representing all major world populations. We find at least two distinct signatures of variation. One, consistent with a previously reported signature is characterized by an increased rate of TCC>TTC mutations in people from Western Eurasia and South Asia, likely related to differences in the rate, or efficiency of repair, of damage due to deamination of methylated guanine. We describe the geographic extent of this signature and show that it is detectable in the genomes of ancient, but not archaic humans. The second signature is private to certain Native American populations, and is concentrated at CpG sites. We show that this signature is not driven by differences in the CpG mutation rate, but is a result of the fact that highly mutable CpG sites are more likely to undergo multiple independent mutations across human populations, and the spectrum of such mutations is highly sensitive to recent demography. Both of these effects dramatically affect the spectrum of rare variants across human populations, and should be taken into account when using mutational clocks to make inference about demography.
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Affiliation(s)
- Iain Mathieson
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts, United States of America
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27
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Acuna-Hidalgo R, Veltman JA, Hoischen A. New insights into the generation and role of de novo mutations in health and disease. Genome Biol 2016; 17:241. [PMID: 27894357 PMCID: PMC5125044 DOI: 10.1186/s13059-016-1110-1] [Citation(s) in RCA: 259] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Aside from inheriting half of the genome of each of our parents, we are born with a small number of novel mutations that occurred during gametogenesis and postzygotically. Recent genome and exome sequencing studies of parent-offspring trios have provided the first insights into the number and distribution of these de novo mutations in health and disease, pointing to risk factors that increase their number in the offspring. De novo mutations have been shown to be a major cause of severe early-onset genetic disorders such as intellectual disability, autism spectrum disorder, and other developmental diseases. In fact, the occurrence of novel mutations in each generation explains why these reproductively lethal disorders continue to occur in our population. Recent studies have also shown that de novo mutations are predominantly of paternal origin and that their number increases with advanced paternal age. Here, we review the recent literature on de novo mutations, covering their detection, biological characterization, and medical impact.
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Affiliation(s)
- Rocio Acuna-Hidalgo
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Joris A Veltman
- Department of Human Genetics, Donders Institute of Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands.
- Department of Clinical Genetics, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Alexander Hoischen
- Department of Human Genetics, Donders Institute of Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
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28
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Abstract
Our understanding of the chronology of human evolution relies on the “molecular clock” provided by the steady accumulation of substitutions on an evolutionary lineage. Recent analyses of human pedigrees have called this understanding into question by revealing unexpectedly low germline mutation rates, which imply that substitutions accrue more slowly than previously believed. Translating mutation rates estimated from pedigrees into substitution rates is not as straightforward as it may seem, however. We dissect the steps involved, emphasizing that dating evolutionary events requires not “a mutation rate” but a precise characterization of how mutations accumulate in development in males and females—knowledge that remains elusive.
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Affiliation(s)
- Priya Moorjani
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
- * E-mail: (PM); (ZG); (MP)
| | - Ziyue Gao
- Howard Hughes Medical Institute & Dept. of Genetics, Stanford University, Stanford, California, United States of America
- * E-mail: (PM); (ZG); (MP)
| | - Molly Przeworski
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
- Department of Systems Biology, Columbia University, New York, New York, United States of America
- * E-mail: (PM); (ZG); (MP)
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