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Zhu L, Beichman A, Harris K. Population size interacts with reproductive longevity to shape the germline mutation rate. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.06.570457. [PMID: 39574678 PMCID: PMC11580940 DOI: 10.1101/2023.12.06.570457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Mutation rates vary across the tree of life by many orders of magnitude, with lower mutation rates in species that reproduce quickly and maintain large effective population sizes. A compelling explanation for this trend is that large effective population sizes facilitate selection against weakly deleterious "mutator alleles" such as variants that interfere with the molecular efficacy of DNA repair. However, in multicellular organisms, the relationship of the mutation rate to DNA repair efficacy is complicated by variation in reproductive age. Long generation times leave more time for mutations to accrue each generation, and late reproduction likely amplifies the fitness consequences of any DNA repair defect that creates extra mutations in the sperm or eggs. Here, we present theoretical and empirical evidence that a long generation time amplifies the strength of selection for low mutation rates in the spermatocytes and oocytes. This leads to the counterintuitive prediction that the species with the highest germline mutation rates per generation are also the species with most effective mechanisms for DNA proofreading and repair in their germ cells. In contrast, species with different generation times accumulate similar mutation loads during embryonic development. Our results parallel recent findings that the longest-lived species have the lowest mutation rates in adult somatic tissues, potentially due to selection to keep the lifetime mutation load below a harmful threshold.
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Affiliation(s)
- Luke Zhu
- Department of Bioengineering, University of Washington
| | | | - Kelley Harris
- Department of Genome Sciences, University of Washington
- Computational Biology Division, Fred Hutchinson Cancer Center
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Waldvogel SM, Posey JE, Goodell MA. Human embryonic genetic mosaicism and its effects on development and disease. Nat Rev Genet 2024; 25:698-714. [PMID: 38605218 PMCID: PMC11408116 DOI: 10.1038/s41576-024-00715-z] [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] [Accepted: 02/22/2024] [Indexed: 04/13/2024]
Abstract
Nearly every mammalian cell division is accompanied by a mutational event that becomes fixed in a daughter cell. When carried forward to additional cell progeny, a clone of variant cells can emerge. As a result, mammals are complex mosaics of clones that are genetically distinct from one another. Recent high-throughput sequencing studies have revealed that mosaicism is common, clone sizes often increase with age and specific variants can affect tissue function and disease development. Variants that are acquired during early embryogenesis are shared by multiple cell types and can affect numerous tissues. Within tissues, variant clones compete, which can result in their expansion or elimination. Embryonic mosaicism has clinical implications for genetic disease severity and transmission but is likely an under-recognized phenomenon. To better understand its implications for mosaic individuals, it is essential to leverage research tools that can elucidate the mechanisms by which expanded embryonic variants influence development and disease.
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Affiliation(s)
- Sarah M Waldvogel
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA
- Graduate Program in Cancer and Cell Biology, Baylor College of Medicine, Houston, TX, USA
| | - Jennifer E Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Margaret A Goodell
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
- Graduate Program in Cancer and Cell Biology, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
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Yamamoto K, Lee Y, Masuda T, Ozono K, Iwatani Y, Watanabe M, Okada Y, Sakai N. Functional landscape of genome-wide postzygotic somatic mutations between monozygotic twins. DNA Res 2024; 31:dsae028. [PMID: 39306676 PMCID: PMC11472055 DOI: 10.1093/dnares/dsae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 09/12/2024] [Accepted: 09/19/2024] [Indexed: 10/15/2024] Open
Abstract
Monozygotic (MZ) twins originate from a single fertilized egg, making them genetically identical at the time of conception. However, postzygotic somatic mutations (PZMs) can introduce genetic differences after separation. Although whole-genome sequencing (WGS) sheds light on somatic mutations in cancer genomics, its application in genomic studies of MZ twins remains limited. In this study, we investigate PZMs in 30 healthy MZ twin pairs from the Osaka University Center for Twin Research using WGS (average depth = 23.8) and a robust germline-calling algorithm. We find high genotype concordance rates (exceeding 99%) in MZ twins. We observe an enrichment of PZMs with variant allele frequency around 0.5 in twins with highly concordant genotypes. These PZMs accumulate more frequently in non-coding regions compared with protein-coding regions, which could potentially influence gene expression. No significant association is observed between the number of PZMs and age or sex. Direct sequencing confirms a missense mutation in the ANKRD35 gene among the PZMs. By applying a genome-wide mutational signature pattern technique, we detect an age-related clock-like signature in these early postzygotic somatic mutations in MZ twins. Our study provides insights that contribute to a deeper understanding of genetic variation in MZ twins.
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Affiliation(s)
- Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Children’s health and Genetics, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yoko Lee
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Child Healthcare and Genetic Science, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Japan
- Graduate School of Humanities and Sciences, Nara Women’s University, Nara, Japan
| | - Tatsuo Masuda
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Obstetrics and Gynecology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Keiichi Ozono
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Promoting Treatment of Intractable Diseases, ISEIKAI International General Hospital, Osaka, Japan
| | - Yoshinori Iwatani
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University Graduate School of Medicine, Suita, Japan
| | - Mikio Watanabe
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Science, Yokohama, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Premium Research Institute for Human Medicine (WPI-PRIMe), Osaka University, Suita, Japan
| | - Norio Sakai
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Child Healthcare and Genetic Science, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Japan
- Center for Promoting Treatment of Intractable Diseases, ISEIKAI International General Hospital, Osaka, Japan
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