» Articles » PMID: 21457906

Comparing Phylogeny and the Predicted Pathogenicity of Protein Variations Reveals Equal Purifying Selection Across the Global Human MtDNA Diversity

Overview
Journal Am J Hum Genet
Publisher Cell Press
Specialty Genetics
Date 2011 Apr 5
PMID 21457906
Citations 70
Authors
Affiliations
Soon will be listed here.
Abstract

We used detailed phylogenetic trees for human mtDNA, combined with pathogenicity predictions for each amino acid change, to evaluate selection on mtDNA-encoded protein variants. Protein variants with high pathogenicity scores were significantly rarer in the older branches of the tree. Variants that have formed and survived multiple times in the human phylogenetics tree had significantly lower pathogenicity scores than those that only appear once in the tree. We compared the distribution of pathogenicity scores observed on the human phylogenetic tree to the distribution of all possible protein variations to define a measure of the effect of selection on these protein variations. The measured effect of selection increased exponentially with increasing pathogenicity score. We found no measurable difference in this measure of purifying selection in mtDNA across the global population, represented by the macrohaplogroups L, M, and N. We provide a list of all possible single amino acid variations for the human mtDNA-encoded proteins with their predicted pathogenicity scores and our measured selection effect as a tool for assessing novel protein variations that are often reported in patients with mitochondrial disease of unknown origin or for assessing somatic mutations acquired through aging or detected in tumors.

Citing Articles

Sequencing and characterizing human mitochondrial genomes in the biobank-based genomic research paradigm.

Luo L, Wang M, Liu Y, Li J, Bu F, Yuan H Sci China Life Sci. 2025; .

PMID: 39843848 DOI: 10.1007/s11427-024-2736-7.


Mitochondrial DNA variants and their impact on epigenetic and biological aging in young adulthood.

Mareckova K, Mendes-Silva A, Jani M, Pacinkova A, Piler P, Goncalves V Transl Psychiatry. 2025; 15(1):16.

PMID: 39837837 PMC: 11751369. DOI: 10.1038/s41398-025-03235-4.


Relationships of mitochondrial DNA mutations and select clinical diagnoses in perinatally HIV- and ART-exposed uninfected children.

Gojanovich G, Marsit C, Kacanek D, Russell J, Hudson G, Van Dyke R Mitochondrion. 2024; 79:101949.

PMID: 39218053 PMC: 11568920. DOI: 10.1016/j.mito.2024.101949.


Mitochondrial DNA Genomes Reveal Relaxed Purifying Selection During Human Population Expansion after the Last Glacial Maximum.

Zheng H, Yan S, Zhang M, Gu Z, Wang J, Jin L Mol Biol Evol. 2024; 41(9).

PMID: 39162340 PMC: 11373649. DOI: 10.1093/molbev/msae175.


CD4 T cell mitochondrial genotype in Multiple Sclerosis: a cross-sectional and longitudinal analysis.

Cortes-Figueiredo F, Asseyer S, Chien C, Zimmermann H, Ruprecht K, Schmitz-Hubsch T Sci Rep. 2024; 14(1):7507.

PMID: 38553515 PMC: 10980703. DOI: 10.1038/s41598-024-57592-z.


References
1.
Kong Q, Yao Y, Sun C, Bandelt H, Zhu C, Zhang Y . Phylogeny of east Asian mitochondrial DNA lineages inferred from complete sequences. Am J Hum Genet. 2003; 73(3):671-6. PMC: 1180693. DOI: 10.1086/377718. View

2.
Nachman M . Deleterious mutations in animal mitochondrial DNA. Genetica. 1998; 102-103(1-6):61-9. View

3.
Rand D, Haney R, Fry A . Cytonuclear coevolution: the genomics of cooperation. Trends Ecol Evol. 2006; 19(12):645-53. DOI: 10.1016/j.tree.2004.10.003. View

4.
Elson J, Turnbull D, Howell N . Comparative genomics and the evolution of human mitochondrial DNA: assessing the effects of selection. Am J Hum Genet. 2004; 74(2):229-38. PMC: 1181921. DOI: 10.1086/381505. View

5.
Subramanian S . Temporal trails of natural selection in human mitogenomes. Mol Biol Evol. 2009; 26(4):715-7. DOI: 10.1093/molbev/msp005. View