Back

Multi-platform reassessment of human mitochondrial DNA methylation reveals signals consistent with technical artifacts

Basrai, S.; Bahcheli, A. T.; Tan, D.; Zuzarte, P. C.; Bevan, A.; Chan, T.; Ng, K.; Lam, B.; Arruda, A.; Das, S.; Minden, M. D.; Simpson, J. T.; Reimand, J.; Abelson, S.

2026-06-15 bioinformatics
10.64898/2026.06.10.730935 bioRxiv
Show abstract

The existence and functional relevance of mitochondrial DNA methylation remain controversial. Here, we systematically profiled cytosine methylation and hydroxymethylation across human brain and blood tissues spanning healthy and malignant states using orthogonal sequencing approaches that avoid chemical conversion during library preparation. While nuclear DNA exhibited canonical methylation patterns, mitochondrial DNA consistently showed negligible signal, indistinguishable from background technical noise. By mapping cytosine-guanine sites between mitochondrial DNA and nuclear-embedded mitochondrial sequences, we demonstrate the potential of these nuclear counterparts to confound not only cytosine methylation but also hydroxymethylation measurements, corroborating and extending prior findings implicating nuclear contamination as a potential source of apparent mitochondrial epigenetic signals. Additional technical factors that inflate apparent mtDNA methylation signals were identified, including sequence context biases, flow cell chemistries, and coverage-dependent discrepancies between the heavy and light strands. Collectively, these results provide convergent evidence against the presence of biologically meaningful cytosine methylation or hydroxymethylation in mitochondrial DNA. These findings caution against interpreting apparent mtDNA methylation signals in human adult tissues as meaningful without rigorous orthogonal validation and comprehensive consideration of technical and analytical confounding factors.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Epigenetics
50 papers in training set
Top 0.1%
19.1%
2
Nature Communications
5641 papers in training set
Top 20%
8.1%
3
Genome Biology
637 papers in training set
Top 2%
7.5%
4
Genome Research
468 papers in training set
Top 0.7%
7.0%
5
Scientific Reports
3612 papers in training set
Top 12%
6.5%
6
Clinical Epigenetics
60 papers in training set
Top 0.1%
5.3%
50% of probability mass above
7
PLOS ONE
5266 papers in training set
Top 35%
3.5%
8
Nucleic Acids Research
1281 papers in training set
Top 5%
3.4%
9
Nature Biotechnology
172 papers in training set
Top 1%
3.3%
10
BMC Genomics
406 papers in training set
Top 3%
2.7%
11
Genome Medicine
183 papers in training set
Top 2%
2.5%
12
Cell Reports Methods
165 papers in training set
Top 1%
2.0%
13
Briefings in Bioinformatics
354 papers in training set
Top 4%
1.8%
14
Mitochondrion
12 papers in training set
Top 0.1%
1.8%
15
Genomics, Proteomics & Bioinformatics
16 papers in training set
Top 0.1%
1.8%
16
Epigenomics
11 papers in training set
Top 0.1%
1.5%
17
Advanced Science
286 papers in training set
Top 5%
1.5%
18
Communications Biology
993 papers in training set
Top 18%
1.4%
19
Science Advances
1243 papers in training set
Top 24%
1.2%
20
iScience
1154 papers in training set
Top 30%
1.0%
21
Genes
144 papers in training set
Top 4%
0.9%
22
Nature Methods
385 papers in training set
Top 7%
0.6%
23
Nature Genetics
286 papers in training set
Top 5%
0.6%
24
Biology Methods and Protocols
61 papers in training set
Top 3%
0.6%
25
NAR Genomics and Bioinformatics
242 papers in training set
Top 5%
0.6%
26
PLOS Genetics
862 papers in training set
Top 14%
0.5%
27
Epigenetics & Chromatin
42 papers in training set
Top 0.8%
0.5%
28
Nature Chemical Biology
119 papers in training set
Top 3%
0.5%
29
Molecular Cell
350 papers in training set
Top 6%
0.5%
30
Forensic Science International: Genetics
26 papers in training set
Top 0.1%
0.5%