Literature DB >> 25313049

Maternal age effect and severe germ-line bottleneck in the inheritance of human mitochondrial DNA.

Boris Rebolledo-Jaramillo1, Marcia Shu-Wei Su2, Nicholas Stoler1, Jennifer A McElhoe3, Benjamin Dickins4, Daniel Blankenberg1, Thorfinn S Korneliussen5, Francesca Chiaromonte6, Rasmus Nielsen7, Mitchell M Holland3, Ian M Paul8, Anton Nekrutenko9, Kateryna D Makova10.   

Abstract

The manifestation of mitochondrial DNA (mtDNA) diseases depends on the frequency of heteroplasmy (the presence of several alleles in an individual), yet its transmission across generations cannot be readily predicted owing to a lack of data on the size of the mtDNA bottleneck during oogenesis. For deleterious heteroplasmies, a severe bottleneck may abruptly transform a benign (low) frequency in a mother into a disease-causing (high) frequency in her child. Here we present a high-resolution study of heteroplasmy transmission conducted on blood and buccal mtDNA of 39 healthy mother-child pairs of European ancestry (a total of 156 samples, each sequenced at ∼20,000× per site). On average, each individual carried one heteroplasmy, and one in eight individuals carried a disease-associated heteroplasmy, with minor allele frequency ≥1%. We observed frequent drastic heteroplasmy frequency shifts between generations and estimated the effective size of the germ-line mtDNA bottleneck at only ∼30-35 (interquartile range from 9 to 141). Accounting for heteroplasmies, we estimated the mtDNA germ-line mutation rate at 1.3 × 10(-8) (interquartile range from 4.2 × 10(-9) to 4.1 × 10(-8)) mutations per site per year, an order of magnitude higher than for nuclear DNA. Notably, we found a positive association between the number of heteroplasmies in a child and maternal age at fertilization, likely attributable to oocyte aging. This study also took advantage of droplet digital PCR (ddPCR) to validate heteroplasmies and confirm a de novo mutation. Our results can be used to predict the transmission of disease-causing mtDNA variants and illuminate evolutionary dynamics of the mitochondrial genome.

Entities:  

Keywords:  heteroplasmy; mitochondria

Mesh:

Substances:

Year:  2014        PMID: 25313049      PMCID: PMC4217420          DOI: 10.1073/pnas.1409328111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  58 in total

1.  The mutation rate in the human mtDNA control region.

Authors:  S Sigurğardóttir; A Helgason; J R Gulcher; K Stefansson; P Donnelly
Journal:  Am J Hum Genet       Date:  2000-04-07       Impact factor: 11.025

2.  High direct estimate of the mutation rate in the mitochondrial genome of Caenorhabditis elegans.

Authors:  D R Denver; K Morris; M Lynch; L L Vassilieva; W K Thomas
Journal:  Science       Date:  2000-09-29       Impact factor: 47.728

Review 3.  Mitochondrial DNA genetics and the heteroplasmy conundrum in evolution and disease.

Authors:  Douglas C Wallace; Dimitra Chalkia
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-11-01       Impact factor: 10.005

4.  Evolution of the mutation rate.

Authors:  Michael Lynch
Journal:  Trends Genet       Date:  2010-06-30       Impact factor: 11.639

5.  Very low-level heteroplasmy mtDNA variations are inherited in humans.

Authors:  Yan Guo; Chung-I Li; Quanhu Sheng; Jeanette F Winther; Qiuyin Cai; John D Boice; Yu Shyr
Journal:  J Genet Genomics       Date:  2013-12-08       Impact factor: 4.275

6.  A new approach for detecting low-level mutations in next-generation sequence data.

Authors:  Mingkun Li; Mark Stoneking
Journal:  Genome Biol       Date:  2012-05-23       Impact factor: 13.583

7.  The reference human nuclear mitochondrial sequences compilation validated and implemented on the UCSC genome browser.

Authors:  Domenico Simone; Francesco Maria Calabrese; Martin Lang; Giuseppe Gasparre; Marcella Attimonelli
Journal:  BMC Genomics       Date:  2011-10-20       Impact factor: 3.969

8.  Universal heteroplasmy of human mitochondrial DNA.

Authors:  Brendan A I Payne; Ian J Wilson; Patrick Yu-Wai-Man; Jonathan Coxhead; David Deehan; Rita Horvath; Robert W Taylor; David C Samuels; Mauro Santibanez-Koref; Patrick F Chinnery
Journal:  Hum Mol Genet       Date:  2012-10-16       Impact factor: 6.150

9.  The effect of strand bias in Illumina short-read sequencing data.

Authors:  Yan Guo; Jiang Li; Chung-I Li; Jirong Long; David C Samuels; Yu Shyr
Journal:  BMC Genomics       Date:  2012-11-24       Impact factor: 3.969

10.  Recurrent tissue-specific mtDNA mutations are common in humans.

Authors:  David C Samuels; Chun Li; Bingshan Li; Zhuo Song; Eric Torstenson; Hayley Boyd Clay; Antonis Rokas; Tricia A Thornton-Wells; Jason H Moore; Tia M Hughes; Robert D Hoffman; Jonathan L Haines; Deborah G Murdock; Douglas P Mortlock; Scott M Williams
Journal:  PLoS Genet       Date:  2013-11-07       Impact factor: 5.917

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  81 in total

1.  Mitochondrial Mutation Rate, Spectrum and Heteroplasmy in Caenorhabditis elegans Spontaneous Mutation Accumulation Lines of Differing Population Size.

Authors:  Anke Konrad; Owen Thompson; Robert H Waterston; Donald G Moerman; Peter D Keightley; Ulfar Bergthorsson; Vaishali Katju
Journal:  Mol Biol Evol       Date:  2017-06-01       Impact factor: 16.240

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

Authors:  Barbara Arbeithuber; James Hester; Marzia A Cremona; Nicholas Stoler; Arslan Zaidi; Bonnie Higgins; Kate Anthony; Francesca Chiaromonte; Francisco J Diaz; Kateryna D Makova
Journal:  PLoS Biol       Date:  2020-07-15       Impact factor: 8.029

3.  One Hundred Mitochondrial Genomes of Cicadas.

Authors:  Piotr Łukasik; Rebecca A Chong; Katherine Nazario; Yu Matsuura; De Anna C Bublitz; Matthew A Campbell; Mariah C Meyer; James T Van Leuven; Pablo Pessacq; Claudio Veloso; Chris Simon; John P McCutcheon
Journal:  J Hered       Date:  2019-03-05       Impact factor: 2.645

4.  Family reunion via error correction: an efficient analysis of duplex sequencing data.

Authors:  Nicholas Stoler; Barbara Arbeithuber; Gundula Povysil; Monika Heinzl; Renato Salazar; Kateryna D Makova; Irene Tiemann-Boege; Anton Nekrutenko
Journal:  BMC Bioinformatics       Date:  2020-03-04       Impact factor: 3.169

5.  MPS analysis of the mtDNA hypervariable regions on the MiSeq with improved enrichment.

Authors:  Mitchell M Holland; Laura A Wilson; Sarah Copeland; Gloria Dimick; Charity A Holland; Robert Bever; Jennifer A McElhoe
Journal:  Int J Legal Med       Date:  2017-01-11       Impact factor: 2.686

Review 6.  Inherited mitochondrial genomic instability and chemical exposures.

Authors:  Sherine S L Chan
Journal:  Toxicology       Date:  2017-07-26       Impact factor: 4.221

7.  Sources, mechanisms, and consequences of chemical-induced mitochondrial toxicity.

Authors:  Joel N Meyer; Sherine S L Chan
Journal:  Toxicology       Date:  2017-06-13       Impact factor: 4.221

8.  Mitochondrial DNA sequence variation is largely conserved at birth with rare de novo mutations in neonates.

Authors:  Jun Ma; Heidi Purcell; Lori Showalter; Kjersti M Aagaard
Journal:  Am J Obstet Gynecol       Date:  2015-02-14       Impact factor: 8.661

9.  Accurate and comprehensive analysis of single nucleotide variants and large deletions of the human mitochondrial genome in DNA and single cells.

Authors:  Filippo Zambelli; Kim Vancampenhout; Dorien Daneels; Daniel Brown; Joke Mertens; Sonia Van Dooren; Ben Caljon; Luca Gianaroli; Karen Sermon; Thierry Voet; Sara Seneca; Claudia Spits
Journal:  Eur J Hum Genet       Date:  2017-08-23       Impact factor: 4.246

10.  Reproductive aging is associated with changes in oocyte mitochondrial dynamics, function, and mtDNA quantity.

Authors:  Elnur Babayev; Tianren Wang; Klara Szigeti-Buck; Katie Lowther; Hugh S Taylor; Tamas Horvath; Emre Seli
Journal:  Maturitas       Date:  2016-06-23       Impact factor: 4.342

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