0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Mitochondrial haplotype and mito-nuclear matching drive somatic mutation and selection throughout aging

      Preprint
      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Mitochondrial genomes co-evolve with the nuclear genome over evolutionary timescales and are shaped by selection in the female germline. Here, we investigate how mismatching between nuclear and mitochondrial ancestry impacts the somatic evolution of the mt-genome in different tissues throughout aging. We used ultra-sensitive Duplex Sequencing to profile ~2.5 million mt-genomes across five mitochondrial haplotypes and three tissues in young and aged mice, cataloging ~1.2 million mitochondrial somatic and ultra low frequency inherited mutations, of which 81,097 are unique. We identify haplotype-specific mutational patterns and several mutational hotspots, including at the Light Strand Origin of Replication, which consistently exhibits the highest mutation frequency. We show that rodents exhibit a distinct mitochondrial somatic mutational spectrum compared to primates with a surfeit of reactive oxygen species-associated G>T/C>A mutations, and that somatic mutations in protein coding genes exhibit signatures of negative selection. Lastly, we identify an extensive enrichment in somatic reversion mutations that “re-align” mito-nuclear ancestry within an organism’s lifespan. Together, our findings demonstrate that mitochondrial genomes are a dynamically evolving subcellular population shaped by somatic mutation and selection throughout organismal lifetimes.

          Related collections

          Most cited references61

          • Record: found
          • Abstract: found
          • Article: found

          The Hallmarks of Aging

          Aging is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death. This deterioration is the primary risk factor for major human pathologies, including cancer, diabetes, cardiovascular disorders, and neurodegenerative diseases. Aging research has experienced an unprecedented advance over recent years, particularly with the discovery that the rate of aging is controlled, at least to some extent, by genetic pathways and biochemical processes conserved in evolution. This Review enumerates nine tentative hallmarks that represent common denominators of aging in different organisms, with special emphasis on mammalian aging. These hallmarks are: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication. A major challenge is to dissect the interconnectedness between the candidate hallmarks and their relative contributions to aging, with the final goal of identifying pharmaceutical targets to improve human health during aging, with minimal side effects. Copyright © 2013 Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Twelve years of SAMtools and BCFtools

            Abstract Background SAMtools and BCFtools are widely used programs for processing and analysing high-throughput sequencing data. They include tools for file format conversion and manipulation, sorting, querying, statistics, variant calling, and effect analysis amongst other methods. Findings The first version appeared online 12 years ago and has been maintained and further developed ever since, with many new features and improvements added over the years. The SAMtools and BCFtools packages represent a unique collection of tools that have been used in numerous other software projects and countless genomic pipelines. Conclusion Both SAMtools and BCFtools are freely available on GitHub under the permissive MIT licence, free for both non-commercial and commercial use. Both packages have been installed >1 million times via Bioconda. The source code and documentation are available from https://www.htslib.org.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Signatures of mutational processes in human cancer

              All cancers are caused by somatic mutations. However, understanding of the biological processes generating these mutations is limited. The catalogue of somatic mutations from a cancer genome bears the signatures of the mutational processes that have been operative. Here, we analysed 4,938,362 mutations from 7,042 cancers and extracted more than 20 distinct mutational signatures. Some are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are confined to a single class. Certain signatures are associated with age of the patient at cancer diagnosis, known mutagenic exposures or defects in DNA maintenance, but many are of cryptic origin. In addition to these genome-wide mutational signatures, hypermutation localized to small genomic regions, kataegis, is found in many cancer types. The results reveal the diversity of mutational processes underlying the development of cancer with potential implications for understanding of cancer etiology, prevention and therapy.
                Bookmark

                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                23 October 2023
                : 2023.03.06.531392
                Affiliations
                [1 ]Center for Computational Biology, University of California, Berkeley
                [2 ]Lübeck Institute of Experimental Dermatology, University of Lübeck
                [3 ]TwinStrand Biosciences
                [4 ]College of Medicine, Khalifa University
                [5 ]Department of Integrative Biology, University of California, Berkeley
                Author notes

                Author contributions

                Conceived the experimental design: PHS.

                Constructed the conplastic strains and provided experimental samples: MH and SI.

                Sequencing design and library preparation: CV, SA, ES, GP, LW, JS. LW and GP contributed to this project while affiliated with TwinStrand Biosciences.

                Processed and analyzed the data: IMS and PHS.

                Wrote and edited the manuscript: IMS and PHS.

                [6 ]Corresponding Author
                Article
                10.1101/2023.03.06.531392
                10028854
                36945529
                96911294-9570-428a-80a8-68cd68d54733

                This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.

                History
                Funding
                Institute of General Medical Sciences [grant: R35GM142916] to PHS. Vallee Scholars Award to PHS. National Science Foundation Graduate Student Fellowship [grant: DGE 1752814; DGE 2146752.], University of California, Berkeley Graduate Fellowship, the Rose Hills Foundation Fellowship, and the Ford Foundation Dissertation Fellowship to IMS.
                Categories
                Article

                Comments

                Comment on this article