Literature DB >> 32667908

Age-related accumulation of de novo mitochondrial mutations in mammalian oocytes and somatic tissues.

Barbara Arbeithuber1, James Hester2, Marzia A Cremona3, Nicholas Stoler4, Arslan Zaidi1, Bonnie Higgins1, Kate Anthony1, Francesca Chiaromonte3,5, Francisco J Diaz2, Kateryna D Makova1.   

Abstract

Mutations create genetic variation for other evolutionary forces to operate on and cause numerous genetic diseases. Nevertheless, how de novo mutations arise remains poorly understood. Progress in the area is hindered by the fact that error rates of conventional sequencing technologies (1 in 100 or 1,000 base pairs) are several orders of magnitude higher than de novo mutation rates (1 in 10,000,000 or 100,000,000 base pairs per generation). Moreover, previous analyses of germline de novo mutations examined pedigrees (and not germ cells) and thus were likely affected by selection. Here, we applied highly accurate duplex sequencing to detect low-frequency, de novo mutations in mitochondrial DNA (mtDNA) directly from oocytes and from somatic tissues (brain and muscle) of 36 mice from two independent pedigrees. We found mtDNA mutation frequencies 2- to 3-fold higher in 10-month-old than in 1-month-old mice, demonstrating mutation accumulation during the period of only 9 mo. Mutation frequencies and patterns differed between germline and somatic tissues and among mtDNA regions, suggestive of distinct mutagenesis mechanisms. Additionally, we discovered a more pronounced genetic drift of mitochondrial genetic variants in the germline of older versus younger mice, arguing for mtDNA turnover during oocyte meiotic arrest. Our study deciphered for the first time the intricacies of germline de novo mutagenesis using duplex sequencing directly in oocytes, which provided unprecedented resolution and minimized selection effects present in pedigree studies. Moreover, our work provides important information about the origins and accumulation of mutations with aging/maturation and has implications for delayed reproduction in modern human societies. Furthermore, the duplex sequencing method we optimized for single cells opens avenues for investigating low-frequency mutations in other studies.

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Year:  2020        PMID: 32667908      PMCID: PMC7363077          DOI: 10.1371/journal.pbio.3000745

Source DB:  PubMed          Journal:  PLoS Biol        ISSN: 1544-9173            Impact factor:   8.029


  101 in total

1.  Origins of human mitochondrial point mutations as DNA polymerase gamma-mediated errors.

Authors:  Weiming Zheng; Konstantin Khrapko; Hilary A Coller; William G Thilly; William C Copeland
Journal:  Mutat Res       Date:  2006-02-20       Impact factor: 2.433

2.  Parental influence on human germline de novo mutations in 1,548 trios from Iceland.

Authors:  Hákon Jónsson; Patrick Sulem; Birte Kehr; Snaedis Kristmundsdottir; Florian Zink; Eirikur Hjartarson; Marteinn T Hardarson; Kristjan E Hjorleifsson; Hannes P Eggertsson; Sigurjon Axel Gudjonsson; Lucas D Ward; Gudny A Arnadottir; Einar A Helgason; Hannes Helgason; Arnaldur Gylfason; Adalbjorg Jonasdottir; Aslaug Jonasdottir; Thorunn Rafnar; Mike Frigge; Simon N Stacey; Olafur Th Magnusson; Unnur Thorsteinsdottir; Gisli Masson; Augustine Kong; Bjarni V Halldorsson; Agnar Helgason; Daniel F Gudbjartsson; Kari Stefansson
Journal:  Nature       Date:  2017-09-20       Impact factor: 49.962

3.  Complete sequence of human mitochondrial DNA obtained by combining multiple displacement amplification and next-generation sequencing on a single oocyte.

Authors:  Massimo Ancora; Massimiliano Orsini; Alessia Colosimo; Maurilia Marcacci; Valentina Russo; Maria De Santo; Marco D'Aurora; Liborio Stuppia; Barbara Barboni; Cesare Cammà; Valentina Gatta
Journal:  Mitochondrial DNA A DNA Mapp Seq Anal       Date:  2016-02-24       Impact factor: 1.514

4.  Variation in genome-wide mutation rates within and between human families.

Authors:  Donald F Conrad; Jonathan E M Keebler; Mark A DePristo; Sarah J Lindsay; Yujun Zhang; Ferran Casals; Youssef Idaghdour; Chris L Hartl; Carlos Torroja; Kiran V Garimella; Martine Zilversmit; Reed Cartwright; Guy A Rouleau; Mark Daly; Eric A Stone; Matthew E Hurles; Philip Awadalla
Journal:  Nat Genet       Date:  2011-06-12       Impact factor: 38.330

5.  Precise determination of mitochondrial DNA copy number in human skeletal and cardiac muscle by a PCR-based assay: lack of change of copy number with age.

Authors:  Francis J Miller; Franklin L Rosenfeldt; Chunfang Zhang; Anthony W Linnane; Phillip Nagley
Journal:  Nucleic Acids Res       Date:  2003-06-01       Impact factor: 16.971

6.  Segregation of mtDNA throughout human embryofetal development: m.3243A>G as a model system.

Authors:  Sophie Monnot; Nadine Gigarel; David C Samuels; Philippe Burlet; Laetitia Hesters; Nelly Frydman; René Frydman; Violaine Kerbrat; Benoit Funalot; Jelena Martinovic; Alexandra Benachi; Josué Feingold; Arnold Munnich; Jean-Paul Bonnefont; Julie Steffann
Journal:  Hum Mutat       Date:  2011-01       Impact factor: 4.878

7.  The control region of mitochondrial DNA shows an unusual CpG and non-CpG methylation pattern.

Authors:  Dina Bellizzi; Patrizia D'Aquila; Teresa Scafone; Marco Giordano; Vincenzo Riso; Andrea Riccio; Giuseppe Passarino
Journal:  DNA Res       Date:  2013-06-26       Impact factor: 4.458

8.  Assessing mitochondrial heteroplasmy using next generation sequencing: A note of caution.

Authors:  Mauro Santibanez-Koref; Helen Griffin; Douglass M Turnbull; Patrick F Chinnery; Mary Herbert; Gavin Hudson
Journal:  Mitochondrion       Date:  2018-08-09       Impact factor: 4.160

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  CpG methylation patterns of human mitochondrial DNA.

Authors:  Baojing Liu; Qingqing Du; Lu Chen; Guangping Fu; Shujin Li; Lihong Fu; Xiaojing Zhang; Chunling Ma; Cong Bin
Journal:  Sci Rep       Date:  2016-03-21       Impact factor: 4.379

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  24 in total

Review 1.  Visualizing, quantifying and manipulating mitochondrial DNA in vivo.

Authors:  David L Prole; Patrick F Chinnery; Nick S Jones
Journal:  J Biol Chem       Date:  2020-10-15       Impact factor: 5.157

2.  Extensive analysis of mitochondrial DNA quantity and sequence variation in human cumulus cells and assisted reproduction outcomes.

Authors:  Kishlay Kumar; Marta Venturas; Daniel J Needleman; Catherine Racowsky; Dagan Wells
Journal:  Hum Reprod       Date:  2021-12-27       Impact factor: 6.918

Review 3.  Mitochondrial DNA Mutagenesis: Feature of and Biomarker for Environmental Exposures and Aging.

Authors:  Tess C Leuthner; Joel N Meyer
Journal:  Curr Environ Health Rep       Date:  2021-11-11

4.  A replication-linked mutational gradient drives somatic mutation accumulation and influences germline polymorphisms and genome composition in mitochondrial DNA.

Authors:  Monica Sanchez-Contreras; Mariya T Sweetwyne; Brendan F Kohrn; Kristine A Tsantilas; Michael J Hipp; Elizabeth K Schmidt; Jeanne Fredrickson; Jeremy A Whitson; Matthew D Campbell; Peter S Rabinovitch; David J Marcinek; Scott R Kennedy
Journal:  Nucleic Acids Res       Date:  2021-11-08       Impact factor: 16.971

5.  Sorting of mitochondrial and plastid heteroplasmy in Arabidopsis is extremely rapid and depends on MSH1 activity.

Authors:  Amanda K Broz; Alexandra Keene; Matheus Fernandes Gyorfy; Mychaela Hodous; Iain G Johnston; Daniel B Sloan
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-15       Impact factor: 12.779

6.  A mitochondria-specific mutational signature of aging: increased rate of A > G substitutions on the heavy strand.

Authors:  Alina G Mikhailova; Alina A Mikhailova; Kristina Ushakova; Evgeny O Tretiakov; Dmitrii Iliushchenko; Victor Shamansky; Valeria Lobanova; Ivan Kozenkov; Bogdan Efimenko; Andrey A Yurchenko; Elena Kozenkova; Evgeny M Zdobnov; Vsevolod Makeev; Valerian Yurov; Masashi Tanaka; Irina Gostimskaya; Zoe Fleischmann; Sofia Annis; Melissa Franco; Kevin Wasko; Stepan Denisov; Wolfram S Kunz; Dmitry Knorre; Ilya Mazunin; Sergey Nikolaev; Jacques Fellay; Alexandre Reymond; Konstantin Khrapko; Konstantin Gunbin; Konstantin Popadin
Journal:  Nucleic Acids Res       Date:  2022-10-14       Impact factor: 19.160

7.  OPUSeq simplifies detection of low-frequency DNA variants and uncovers fragmentase-associated artifacts.

Authors:  Alisa Alekseenko; Jingwen Wang; Donal Barrett; Vicent Pelechano
Journal:  NAR Genom Bioinform       Date:  2022-06-27

8.  Association of mitochondrial DNA content, heteroplasmies and inter-generational transmission with autism.

Authors:  Yiqin Wang; Xiaoxian Guo; Xiumei Hong; Guoying Wang; Colleen Pearson; Barry Zuckerman; Andrew G Clark; Kimberly O O'Brien; Xiaobin Wang; Zhenglong Gu
Journal:  Nat Commun       Date:  2022-07-01       Impact factor: 17.694

9.  Detecting de novo mitochondrial mutations in angiosperms with highly divergent evolutionary rates.

Authors:  Amanda K Broz; Gus Waneka; Zhiqiang Wu; Matheus Fernandes Gyorfy; Daniel B Sloan
Journal:  Genetics       Date:  2021-05-17       Impact factor: 4.562

Review 10.  The Mitochondrial Response to DNA Damage.

Authors:  Ziye Rong; Peipei Tu; Peiqi Xu; Yan Sun; Fangfang Yu; Na Tu; Lixia Guo; Yanan Yang
Journal:  Front Cell Dev Biol       Date:  2021-05-12
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