Literature DB >> 35979955

No evidence of extensive non-CpG methylation in mtDNA.

Romain Guitton1,2, Gonzalo S Nido1,2, Charalampos Tzoulis1,2.   

Abstract

While most research suggests mitochondrial DNA (mtDNA) harbors low or no methylation, a few studies claim to report evidence of high-level methylation in the mtDNA. The reasons behind these contradictory results are likely to be methodological but remain largely unexplored. Here, we critically reanalyzed a recent study by Patil et al. (2019) reporting extensive methylation in human mtDNA in a non-CpG context. Our analyses refute the original findings and show that these do not reflect the biology of the tested samples, but rather stem from a combination of methodological and technical pitfalls. The authors employ an oversimplified model that defines as methylated all reference positions with methylation proportions above an arbitrary cutoff of 9%. This substantially exacerbates the overestimation of methylated cytosines due to the selective degradation of unmethylated cytosine-rich regions. Additional limitations are the small sample sizes and lack of sample-specific controls for bisulfite conversion efficiency. In conclusion, using the same dataset employed in the original study by Patil et al., we find no evidence supporting the existence of extensive non-CpG methylation in the human mtDNA.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2022        PMID: 35979955      PMCID: PMC9458446          DOI: 10.1093/nar/gkac701

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  19 in total

1.  A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands.

Authors:  M Frommer; L E McDonald; D S Millar; C M Collis; F Watt; G W Grigg; P L Molloy; C L Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-01       Impact factor: 11.205

2.  Regionally specific and genome-wide analyses conclusively demonstrate the absence of CpG methylation in human mitochondrial DNA.

Authors:  Elizabeth E Hong; Cindy Y Okitsu; Andrew D Smith; Chih-Lin Hsieh
Journal:  Mol Cell Biol       Date:  2013-05-13       Impact factor: 4.272

3.  Single-molecule mitochondrial DNA sequencing shows no evidence of CpG methylation in human cells and tissues.

Authors:  Iacopo Bicci; Claudia Calabrese; Zoe J Golder; Aurora Gomez-Duran; Patrick F Chinnery
Journal:  Nucleic Acids Res       Date:  2021-12-16       Impact factor: 16.971

4.  Methodology for Accurate Detection of Mitochondrial DNA Methylation.

Authors:  Mie Mechta; Lars Roed Ingerslev; Romain Barrès
Journal:  J Vis Exp       Date:  2018-05-20       Impact factor: 1.355

5.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications.

Authors:  Felix Krueger; Simon R Andrews
Journal:  Bioinformatics       Date:  2011-04-14       Impact factor: 6.937

6.  Evidence Suggesting Absence of Mitochondrial DNA Methylation.

Authors:  Mie Mechta; Lars R Ingerslev; Odile Fabre; Martin Picard; Romain Barrès
Journal:  Front Genet       Date:  2017-11-01       Impact factor: 4.599

7.  Ultra-deep whole genome bisulfite sequencing reveals a single methylation hotspot in human brain mitochondrial DNA.

Authors:  Romain Guitton; Christian Dölle; Guido Alves; Tysnes Ole-Bjørn; Gonzalo S Nido; Charalampos Tzoulis
Journal:  Epigenetics       Date:  2022-03-07       Impact factor: 4.861

8.  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

9.  Accurate estimation of 5-methylcytosine in mammalian mitochondrial DNA.

Authors:  Shigeru Matsuda; Takehiro Yasukawa; Yuriko Sakaguchi; Kenji Ichiyanagi; Motoko Unoki; Kazuhito Gotoh; Kei Fukuda; Hiroyuki Sasaki; Tsutomu Suzuki; Dongchon Kang
Journal:  Sci Rep       Date:  2018-04-11       Impact factor: 4.379

10.  Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data.

Authors:  Nelly Olova; Felix Krueger; Simon Andrews; David Oxley; Rebecca V Berrens; Miguel R Branco; Wolf Reik
Journal:  Genome Biol       Date:  2018-03-15       Impact factor: 13.583

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