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

Oct 28, 2014· B Rebolledo-Jaramillo, MS-W Su, N Stoler, JA McElhoe, B Dickins, D Blankenberg, TS Korneliussen, F Chiaromonte, R Nielsen, MM Holland, IM Paul, A Nekrutenko, KD Makova · 0 min read
Abstract
The frequency of intraindividual mitochondrial DNA (mtDNA) polymorphisms—heteroplasmies—can change dramatically from mother to child owing to the mitochondrial bottleneck at oogenesis. For deleterious heteroplasmies such a change may transform alleles that are benign at low frequency in a mother into disease-causing alleles when at a high frequency in her child. Our study estimates the mtDNA germ-line bottleneck to be small (30–35) and documents a positive association between the number of child heteroplasmies and maternal age at fertilization, enabling prediction of transmission of disease-causing variants and informing mtDNA evolution.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.
Type
Publication
Proceedings of the National Academy of Sciences
publication
Boris Rebolledo-Jaramillo
Authors
Ph.D. student
Marcia Shu-Wei Su
Authors
Postdoctoral Scholar
Nick Stoler
Authors
Ph.D. student
My focus is on variation in mitochondrial DNA. I develop methods and software tools to analyze mitochondrial sequencing data, as well as data from other non-diploid systems like viral populations, cancer, and somatic variation.
Benjamin Dickins
Authors
Postdoctoral Scholar
Francesca Chiaromonte
Authors
Francesca is a statistician developing methods for the analysis of large, high-dimensional and complex data, and applying such methods in contemporary “Omics” sciences and other scientific fields – including Meteorology and Economics.
Rasmus Nielsen
Authors
Rasmus focuses on the development and application of statistical and computational methods for analyzing genomic data in the context of evolutionary genetics, population genetics, and medical genetics.
Mitchell M. Holland
Authors
Dr. Holland is a Fellow in the American Academy of Forensic Sciences, and has served as an associate professorial lecturer and adjunct faculty member at various colleges and universities. Dr. Holland has been on the Editorial Board of the Journal of Forensic Sciences and a member of the Advisory Board of the International Journal of Legal Medicine. He has held positions on governmental and company advisory boards and has been recognized by the FBI and others for his work. Dr. Holland has had extensive experience with human remains identification cases, including the identification of victims from the World Trade Center disasters and from numerous commercial airline accidents. His rearch group is focused on advancing forensic DNA applications, especially in the area of forensic mitochondrial (mt) DNA analysis.
Ian Paul
Authors
Ian Paul, MD, MSc, graduated from Penn State College of Medicine and completed his residency training at Duke University Medical Center in Durham, N.C. In addition to his responsibilities as a general pediatrician at Penn State Pediatrics and in the newborn nursery, Dr. Paul spends much of his time working on a variety of research projects and clinical trials that seek to improve health care for children and their families. His current research includes studies to prevent obesity and help breastfeeding newborns.
Anton Nekrutenko
Authors
Prof. Nekrutenko performed postdoctoral work at the University of Chicago where he found his interest in computational genomics. After moving to the Pennsylvania State University as an Assistant Professor, he and his collaborators developed the Galaxy platform for analysis of biological data. He is now a professor of biochemistry and molecular biology and founding member of galaxyproject.org.
Kateryna Makova, Ph.D.
Authors
Professor
Kateryna is interested in genomics, evolution, and human genetics. Her lab studies mutations using both computational and experimental approaches. Additional topics of interest include sex chromosome evolution and genomics of childhood obesity.