Literature DB >> 25675502

Extensive tissue-related and allele-related mtDNA heteroplasmy suggests positive selection for somatic mutations.

Mingkun Li1, Roland Schröder2, Shengyu Ni2, Burkhard Madea3, Mark Stoneking4.   

Abstract

Heteroplasmy in human mtDNA may play a role in cancer, other diseases, and aging, but patterns of heteroplasmy variation across different tissues have not been thoroughly investigated. Here, we analyzed complete mtDNA genome sequences at ∼3,500× average coverage from each of 12 tissues obtained at autopsy from each of 152 individuals. We identified 4,577 heteroplasmies (with an alternative allele frequency of at least 0.5%) at 393 positions across the mtDNA genome. Surprisingly, different nucleotide positions (nps) exhibit high frequencies of heteroplasmy in different tissues, and, moreover, heteroplasmy is strongly dependent on the specific consensus allele at an np. All of these tissue-related and allele-related heteroplasmies show a significant age-related accumulation, suggesting positive selection for specific alleles at specific positions in specific tissues. We also find a highly significant excess of liver-specific heteroplasmies involving nonsynonymous changes, most of which are predicted to have an impact on protein function. This apparent positive selection for reduced mitochondrial function in the liver may reflect selection to decrease damaging byproducts of liver mitochondrial metabolism (i.e., "survival of the slowest"). Overall, our results provide compelling evidence for positive selection acting on some somatic mtDNA mutations.

Entities:  

Keywords:  heteroplasmy; human; mtDNA; selection; tissue variation

Mesh:

Substances:

Year:  2015        PMID: 25675502      PMCID: PMC4345623          DOI: 10.1073/pnas.1419651112

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


  36 in total

1.  Hypervariable sites in the mtDNA control region are mutational hotspots.

Authors:  M Stoneking
Journal:  Am J Hum Genet       Date:  2000-08-30       Impact factor: 11.025

2.  Tissue-specific differences in mitochondrial activity and biogenesis.

Authors:  Erika Fernández-Vizarra; José A Enríquez; Acisclo Pérez-Martos; Julio Montoya; Patricio Fernández-Silva
Journal:  Mitochondrion       Date:  2010-10-07       Impact factor: 4.160

3.  Neutral mitochondrial heteroplasmy and the influence of aging.

Authors:  Neal Sondheimer; Catherine E Glatz; Jack E Tirone; Matthew A Deardorff; Abba M Krieger; Hakon Hakonarson
Journal:  Hum Mol Genet       Date:  2011-02-04       Impact factor: 6.150

4.  Detecting heteroplasmy from high-throughput sequencing of complete human mitochondrial DNA genomes.

Authors:  Mingkun Li; Anna Schönberg; Michael Schaefer; Roland Schroeder; Ivane Nasidze; Mark Stoneking
Journal:  Am J Hum Genet       Date:  2010-08-13       Impact factor: 11.025

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Review 6.  Purifying selection of mtDNA and its implications for understanding evolution and mitochondrial disease.

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Journal:  Nat Genet       Date:  2011-04-10       Impact factor: 38.330

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Journal:  Anal Chem       Date:  2011-10-28       Impact factor: 6.986

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  79 in total

Review 1.  Reconsidering the Role of Mitochondria in Aging.

Authors:  Marta Gonzalez-Freire; Rafael de Cabo; Michel Bernier; Steven J Sollott; Elisa Fabbri; Placido Navas; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-05-20       Impact factor: 6.053

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.  Profile of Mark Stoneking.

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5.  Assisted reproductive technologies to prevent human mitochondrial disease transmission.

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6.  Assessment of mitochondrial DNA heteroplasmy detected on commercial panel using MPS system with artificial mixture samples.

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Journal:  Int J Legal Med       Date:  2017-12-26       Impact factor: 2.686

7.  Complete mitogenome data for the Serbian population: the contribution to high-quality forensic databases.

Authors:  Slobodan Davidovic; Boris Malyarchuk; Tomasz Grzybowski; Jelena M Aleksic; Miroslava Derenko; Andrey Litvinov; Urszula Rogalla-Ładniak; Milena Stevanovic; Natasa Kovacevic-Grujicic
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8.  Heteroplasmic shifts in tumor mitochondrial genomes reveal tissue-specific signals of relaxed and positive selection.

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Journal:  Hum Mol Genet       Date:  2017-08-01       Impact factor: 6.150

9.  Mitochondria single nucleotide variation across six blood cell types.

Authors:  Pan Zhang; David C Samuels; Jing Wang; Shilin Zhao; Yu Shyr; Yan Guo
Journal:  Mitochondrion       Date:  2016-03-05       Impact factor: 4.160

10.  mtDNA Heteroplasmy in Monozygotic Twins Discordant for Schizophrenia.

Authors:  Hong Li; Rui Bi; Yu Fan; Yong Wu; Yanqing Tang; Zongchang Li; Ying He; Jun Zhou; Jinsong Tang; Xiaogang Chen; Yong-Gang Yao
Journal:  Mol Neurobiol       Date:  2016-06-24       Impact factor: 5.590

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