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

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.

SUBMITTER: Li M

PROVIDER: S-EPMC4345623 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

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

Li Mingkun M Schröder Roland R Ni Shengyu S Madea Burkhard B Stoneking Mark M

Proceedings of the National Academy of Sciences of the United States of America 20150209 8

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 nucleo ...[more]

PMID: 25675502

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Project description:BackgroundCarcinogenesis typically involves multiple somatic mutations in caretaker (DNA repair) and gatekeeper (tumor suppressors and oncogenes) genes. Analysis of mutation spectra of the tumor suppressor that is most commonly mutated in human cancers, p53, unexpectedly suggested that somatic evolution of the p53 gene during tumorigenesis is dominated by positive selection for gain of function. This conclusion is supported by accumulating experimental evidence of evolution of new functions of p53 in tumors. These findings prompted a genome-wide analysis of possible positive selection during tumor evolution.MethodsA comprehensive analysis of probable somatic mutations in the sequences of Expressed Sequence Tags (ESTs) from malignant tumors and normal tissues was performed in order to access the prevalence of positive selection in cancer evolution. For each EST, the numbers of synonymous and non-synonymous substitutions were calculated. In order to identify genes with a signature of positive selection in cancers, these numbers were compared to: i) expected numbers and ii) the numbers for the respective genes in the ESTs from normal tissues.ResultsWe identified 112 genes with a signature of positive selection in cancers, i.e., a significantly elevated ratio of non-synonymous to synonymous substitutions, in tumors as compared to 37 such genes in an approximately equal-sized EST collection from normal tissues. A substantial fraction of the tumor-specific positive-selection candidates have experimentally demonstrated or strongly predicted links to cancer.ConclusionThe results of EST analysis should be interpreted with extreme caution given the noise introduced by sequencing errors and undetected polymorphisms. Furthermore, an inherent limitation of EST analysis is that multiple mutations amenable to statistical analysis can be detected only in relatively highly expressed genes. Nevertheless, the present results suggest that positive selection might affect a substantial number of genes during tumorigenic somatic evolution.

Dataset Information

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

Publications

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

Similar Datasets

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