Biochimica et Biophysica Acta 1797 (2010) 1099–1104 Contents lists available at ScienceDirect Biochimica et Biophysica Acta j o u r n a l h o m e p a g e : w w w. e l s e v i e r. c o m / l o c a t e / b b a b i o Review Evolution and disease converge in the mitochondrion D. Mishmar ⁎, I. Zhidkov a b Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel National Institute of Biotechnology in the Negev (NIBN), Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel a r t i c l e i n f o Article history: Received 16 November 2009 Received in revised form 31 December 2009 Accepted 7 January 2010 Available online 13 January 2010 Keywords: Disease Evolution Mitochondria Mitochondrial DNA (mtDNA) Mutation rate Variant Haplogroup a b s t r a c t Mitochondrial DNA (mtDNA) mutations are long known to cause diseases but also underlie tremendous population divergence in humans. It was assumed that the two types of mutations differ in one major trait: functionality. However, evidence from disease association studies, cell culture and animal models support the functionality of common mtDNA genetic variants, leading to the hypothesis that disease-causing mutations and mtDNA genetic variants share considerable common features. Here we provide evidence showing that the two types of mutations obey the rules of evolution, including random genetic drift and natural selection. This similarity does not only converge at the principle level; rather, disease-causing mutations could recapitulate the ancestral DNA sequence state. Thus, the very same mutations could either mark ancient evolutionary changes or cause disease. © 2010 Elsevier B.V. All rights reserved. 1. Introduction The emergence of new species is a result of interplay between genetics and environment. Intuitively, the genetic material in the form of nucleic acids (DNA and/or RNA) should change in reaction to this interplay. However, concomitantly, the genetic material has to be well-protected from changes, since it encodes multiple factors that act in concert to ensure proper embryo development. Nevertheless, during the past ∼ 3 billion years of life on earth, environmental conditions changed dramatically multiple times, and many organisms which were adapted to those ancient environments could no longer sustain life and reproduce. If those environmental changes were not accompanied by genetic adaptations, mass extinctions would eventually lead to the eradication of life. Since this obviously did not happen, and since mass extinctions indeed occurred many times during our planet's history, it is imperative to assume that new life always emerged from the ashes like the legendary phoenix. The main difference from the legend is that the survival of life forms despite extinctions was most likely not due to magic, but because of the ability to adapt to changes, that, following Charles Darwin's theory [1], lies in the basis of the very existence of genetic diversity. Such diversity provides a large enough repertoire of mutations to cope with multiple possible environmental conditions, and enable the survival of the ⁎ Corresponding author. Department of Life Sciences, Building 40, Room 005, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel. Tel.: +972 8 6461355; fax: +972 8 6461356. E-mail address: [email protected] (D. Mishmar). 0005-2728/$ – see front matter © 2010 Elsevier B.V. All rights reserved. doi:10.1016/j.bbabio.2010.01.003 fittest. Therefore, it is only reasonable that organisms that could survive environmental changes are those that either could cope with a wide variety of environments, or those that had the capacity to go through genetic alterations and adaptations. Indeed, the more specialized the organism, the harder it is to adapt to the changing environments. Therefore, environmental changes are likely to be associated with the appearance of diseases in complex organisms that did not harbor the capacity to allow well being in the new environmental conditions. Although the above discussion constitutes a simplistic summary of the principles that govern the dynamic history of life on earth, one could logically find correlations between the appearance of many complex disorders in man today and ancient environmental changes during human evolution. It is therefore no wonder that the emergence of several infectious diseases correlates with the appearance of human sedentary life-style and the increase of human population density [2]. Likewise, the appearance of age-related diseases correlates with the two-fold extended life span in modern human populations from the mean age of ∼35 years during the Paleolithic era [3] to over 70 today [4]. Unlike other complex disorders, age-related disorders such as Alzheimer's and Parkinson's diseases cannot be easily removed from the human population by natural selection, as their onset occurs many years after reproductive age. It may well be, that the genetic landscape of human populations during ancient times harbored genetic variants that allowed, and even played a role, in human survival in different environmental conditions, but today act as disease susceptibility factors. This is the logic that lies in the basis of the ‘common disease- 1100 D. Mishmar, I. Zhidkov / Biochimica et Biophysica Acta 1797 (2010) 1099–1104 common variant’ approach to investigating the genetic basis of complex disorders [5]. An excellent example for this is the ‘thrifty genotype’ hypothesis explaining the high prevalence of metabolic disorders in modern times [6]. According to this hypothesis, during ancient times when food was less available, selection acted towards efficient energy-producing genotypes. When these genotypes encountered the prosperity and food availability of the western world today, they conferred increased tendency towards obesity and diabetes [6]. This led us to the hypothesis that the genetic changes underlying fundamental evolutionary processes, such as local adaptations, natural selection and the emergence of new species, follow a very similar scheme and obey the same rules as disease-causing mutations. These principles could be so similar, that the very same mutations could either cause disease or allow adaptation to certain environmental factors, such as in the classic case of sickle cell anemia and the resistance to malaria [7]. Moreover, while considering disease-causing mutations, it is clear that only a subset of the genetic alterations allow survival of the embryo to term, whereas the rest are negatively selected and are abolished via natural miscarriages. Similarly, mutations that comprise human genetic variation today constitute population-fixed (and hence common) variants that survived long term evolutionary processes, but also rare un-fixed variants that have yet to face natural selection. In this perspective, we discuss the similarities rather than obvious differences between the genetic characteristics and evolutionary schemes of disease-causing mutations versus genetic variants in humans. We focus on a single genetic system that played central roles both in human evolution and in various complex disorders — the mitochondrial energy-producing system, oxidative phosphorylation (OXPHOS). 2. The unique mitochondrial genetic system Unlike most eukaryotic cellular systems, mitochondrial functions are encoded by two genomes that notably differ in their mutation rates and their mode of inheritance. Whereas most of the ∼ 1500 genes encoding mitochondrial functions are located in the nuclear genome (nDNA), 37 are encoded by the maternally inherited mammalian mitochondrial genome (mtDNA). Of these, seven encode subunits of NADH ubiquinone oxidoreductase (complex I, ND1–ND6, ND4L), one encodes a subunit of cytochrome bc1 oxidase (complex III, cytb), three encode subunits of cytochrome c oxidase (complex IV, CO1–3), two encode subunits of F1–F0 ATP synthase (complex V, ATP6 and 8), 22 encode tRNAs and two rRNA genes (12S and 16S). As previously discussed, since animal mtDNA evolves at least an order of magnitude faster than the nDNA [8], tight co-evolution between nDNA and mtDNA-encoded genes should occur to maintain mitochondrial structure and function (Reviewed by [9,10]). Mutations occurring in the mtDNA are transferred to the next generation in a haploid manner, because of its maternal mode of inheritance. Inheritance of mtDNA mutations from generation to generation depends on the percentage of mutant mitochondria in the fertilized egg: at first, the mutated mtDNA is harbored by only a small portion of cellular mitochondria (heteroplasmy). In time, however, it could reach fixation in the germline, mostly via a severe bottleneck involving the random unbalanced partition of the cytoplasm during cell divisions (replicative segregation) in gamete formation, as well as over generations. Moreover, the severe bottleneck that reduces the effective population size of mitochondria occurs in the female precursor germ cells, resulting in the reduction of mitochondrial population from tens of thousands to ∼200, thus improving the odds of low-prevalence mutations to reach fixation [11,12]. The apparently stochastic nature of this mutation fixation process could be altered when the mutation has an evolutionary advantage. Such is the case of large mtDNA deletions in somatic tissues, that on the one hand reduce essential gene content and cause disease, but on the other hand create smaller circular mtDNA which replicates faster than the full length mtDNA [13]. In addition, it has been suggested that the shift from heteroplasmy to homoplasmy of mtDNA mutations in nasopharyngeal oncocytic tumors could be due to selective advantages accompanying the oncocytic transformation [14]. The established pathological mtDNA mutations T8993C and T9176C, which cause Neuropathy, Ataxia and Retinitis Pigmentosa (NARP), conferred advantage in tumor growth in nude mice [15,16]. It is worth noting that it is not clear whether the increase of heteroplasmy level in these mutations over generations is due to some sort of selective advantage or just random genetic drift [17]. Taken together, as will be discussed below, these evidence support the hypothesis that both disease-causing mutations and mtDNA genetic variants respond to genetic drift as well as to negative or positive selection, thus underlining their functional similarity. 3. Mitochondrial–nuclear interactions in disease and evolution Mitochondrial (mito)–nuclear genetic interactions were suggested to play a crucial role in adaptation as well as the creation of reproductive barriers [9,10,18]. In evolutionary time scale, multiple pieces of evidence exemplify that disruption of mito–nuclear interactions cause reduction in mitochondrial activity. Accordingly, nuclear transfer in cattle or cytoplasmic hybrid (cybrid) experiments in primates or rodents, which introduce the mtDNA from one species into cells harboring the nDNA from another species of the same genus [19–22], result in reduced mitochondrial activity. Similarly, altered mitochondrial activity was observed in cybrid experiments in humans, introducing mtDNAs into cells harboring the nuclear genome from different populations [23–25] as well as in backcross experiments in Drosophila, wasps, rats and the copepod Tigriopus californicus [26–29]. The mentioned backcross experiments also described reduced fitness in the inter-population hybrids. Hence the tight mito–nuclear co-evolution occurs not only at the species level, but could also lie in the basis of reduced fitness and hybrid breakdown in inter-population crosses [9,30–32]. It is therefore conceivable that mito–nuclear interactions could be important in maintaining mitochondrial structure and function within the human species. Indeed, pathological mutations causing Leber's Hereditary Optic Neuropathy (LHON) [25], complex I-specific neurodegenerative disease [33] or Leigh syndrome [34] affect the assembly of OXPHOS complexes by interfering with the interaction between mtDNA and nDNA-encoded subunits. It is therefore conceivable that mito–nuclear interactions play a role not only in evolutionary processes but also in disease. Despite this similarity, it is yet to be determined whether disrupting the evolutionary scheme of co-evolving amino acid positions in interacting mtDNA and nuclear DNA-encoded factors cause disease. 4. Disease-causing mutations and genetic variants in the mtDNA, and their cross-talk with evolutionary forces If the same evolutionary principles govern the dynamics of disease-causing mutations and common mtDNA genetic variants, several predictions emerge: (A) disease-causing mutations could be subjected to both negative and positive selection, (B) both diseasecausing mutations and common genetic variants could respond to genetic drift, (C) mutations defining mtDNA genetic backgrounds play a role both in human response to different environmental conditions and in disease susceptibility, and (D) at least a subset of the mtDNA genetic variants should be functional. Indeed, all predictions are supported by evidence from real life. More than a hundred disease-causing mutations have been described in the human mitochondrial genome [35]. Some of these mutations result in early onset whereas others cause late onset disorders, which are mostly systemic and thus affect many tissue types [35]. Of these mutations, most occur in highly conserved D. Mishmar, I. Zhidkov / Biochimica et Biophysica Acta 1797 (2010) 1099–1104 nucleotide positions within the mtDNA coding region, consistent with their functionality [36]. These mutations can be insertions, deletions or point mutations, which cause diseases in different levels of heteroplasmy, i.e. deletions and insertions (generally speaking) could cause disease while inhabiting less than 60% of cellular mitochondria, whereas many point mutations will cause diseases only when their cellular level reaches around 100% [37]. Since disease-causing mutations could, by definition, reduce fitness, the apparent repertoire of disease-causing mutations is only a subset of the actual mutation rate. Indeed this logic applies to chromosomal aberrations, of which only a subset are found in fetuses whereas the vast majority are found in spontaneous abortions [38]. It is yet to be assessed whether the same logic applies to mtDNA mutations, namely that mtDNA disease-causing mutations represent those that are compatible with life and hence are only a subset of all generated mtDNA mutations. Indeed, it is only reasonable that most disease-causing mutations are negatively selected, i.e. do not become fixed in the population. However, the action of adaptive selection on disease-causing mutations is far less trivial, as they have to confer some sort of evolutionary advantage. Although such an effect was not clearly demonstrated in people carrying mtDNA disease-causing mutations, there is evidence for differential functionality of mtDNA disease-causing mutations in different populations. Mutations causing Leber's hereditary optic neuropathy (LHON) result in disease with varying severity depending on the mtDNA genetic background (haplotype, haplogroup) they occur on [39,40]. Specifically, certain LHON-causing mtDNA mutations may result in blindness, depending on whether they have occurred in combination with the mtDNA haplogroup J [41]. Moreover, the 14484 LHON mutation is associated only with haplogroup J, implying possible advantage for its survival in combination with this mtDNA genetic background [42]. Similarly, haplogroup U patients with large mtDNA deletions show altered phenotypic severity [43]. These data not only imply of the existence of genetic modifiers modulating the expression of a mitochondrial disorder, but also could reflect the action of selective forces in favor of the survival of some mtDNA disease-causing mutations under certain conditions. A clearer positive selection effect for mtDNA disease-causing mutations has been demonstrated in cancer, where the NARP-causing mtDNA mutations C8993T and C9176T grew exceedingly faster as compared to wild type mtDNAs, and caused faster growing tumors in nude mice [15,16]. Since cancer was previously referred to as an evolutionary process obeying Darwinian principles [44], one could interpret the growth advantage of the mtDNA disease-causing mutations as reflecting an adaptive value of these mutations, namely positive selection. Thus disease-causing mutations respond both to negative and possibly positive selection at least at the cellular level. It is important to note, that advantage conferred at the population level was not observed for mtDNA disease-causing mutations. In the case of mtDNA genetic variants, both negative and positive selection has been previously discussed [45]. Evidence for negative selection has been reflected in significantly reduced genetic variation within some mtDNA-encoded genes, and in the fact that most non-synonymous mtDNA variants are rare variants that still did not endure the effects of selection [46]. The action of positive (adaptive) selection has been demonstrated in human mtDNA variants [36,47,48]. Our rigorous analysis of whole mtDNAs from all major global populations has shown that human mtDNA genetic variation was shaped by both negative and positive selection [36,47,48], and that mtDNA genetic variation played a role as humans migrated from the warm climates of Africa to populate the considerably colder northern hemisphere. In summary, natural selection, certainly negative but possibly also positive selection, has left its mark in the pattern of global mtDNA genetic variation and possibly affected mtDNA disease-causing mutations. It is widely accepted that population dynamics during the course of time has affected allele frequencies in different populations, largely 1101 due to the effect of genetic drift [49]. Interestingly, genetic drift also affects the prevalence of disease-causing mutations. Apparently most mtDNA disease-causing mutations are rare, segregate among families, and arise independently and repeatedly in combination with phylogenetically distant genetic backgrounds. These characteristics support strong negative selection against the fixation of these mutations. However, disease-causing mutations are also subjected to genetic drift. Although many of them first appear in a heteroplasmic state, they can eventually dominate the mitochondrial population in the cell (homoplasmic state) due to replicative segregation, namely due to the random division of the cytoplasm during cell division [17,50]. Such replicative segregation during cell division is frequently compared to the population-based genetic drift. Thus, the dynamics of both mtDNA disease-causing mutations and mtDNA genetic variants respond to random population dynamics and founder effects (Fig. 1). Similarly to disease-causing mutations, multiple studies support the functionality of mtDNA genetic variants. Firstly, mtDNA genetic backgrounds (haplogroups) have been repeatedly associated with altered susceptibility to various complex phenotypes including Parkinson's disease [51–56], type 2 diabetes and its complications [57–60], endurance athletics [61–63], various cardiovascular disorders [64–67], age-related macular degeneration [68–70], altered plasma lipid and cholesterol levels [71–73], schizophrenia [74,75], various types of cancer [76–78], human sperm motility [79–81], and successful aging [82–86]. It is worth noting that the high population divergence of mtDNA [87], and its close interplay with nDNA-encoded and environmental factors have resulted in the questioning of some of these associations [88–90]. Careful inspection of these studies reveals associations of certain haplogroups, such as haplogroup J and T in Europeans and haplogroup D in Asians, with multiple phenotypes, suggesting that these genetic backgrounds harbor functional mutations. Secondly, a comparison of cytoplasmic hybrids (cybrids) sharing the same nucleus but differing in their mtDNA genetic backgrounds showed differences in mitochondrial function, reflected by calcium uptake [23], the production of reactive oxygen species (ROS) [24] and the degree of resistance to apoptosis [91]. Thirdly, we have shown that a genetic variant defining haplogroup J in the mtDNA control region (C295T), which is not present in any other human lineage, altered the rate of in vitro transcription and consistently altered mtDNA copy number in cybrids carrying this variant as compared to cybrids with haplogroup H [92]. Therefore, common mtDNA variants and disease-causing mutations are not only subjected to similar selective forces at the population level, but both lead to functional consequences, explaining their appearance on the ‘radar screen’ of natural selection. 5. Recurrence of mtDNA ancient variants in the wrong genetic context could result in disease So far we have demonstrated the similarity in the action of evolutionary forces on disease-causing mutations and mtDNA genetic variants. We also presented evidence from disease association studies and cell culture experiments supporting that at least a portion of haplogroup-defining mutations have functional properties. It follows that the recurrence of ancient variants as de novo mutations on the existent genetic background could be associated with disease. Indeed, as mentioned above, since nDNA and mtDNA-encoded factors tightly co-evolve, it is not surprising that the presence of mtDNA from a given species in the nuclear genetic background of another species results in altered mitochondrial function. However, what happens if mtDNA haplogroup-defining mutations occur as de novo mutations in the context of distantly related mtDNA genetic backgrounds? To test such a hypothesis, we chose to use tissue samples in which the mtDNA mutation rate is significantly increased, and many de novo mtDNA mutations accumulate. Such is the situation in various cancer types 1102 D. Mishmar, I. Zhidkov / Biochimica et Biophysica Acta 1797 (2010) 1099–1104 Fig. 1. Similarity in the dynamics of mtDNA genetic variants and disease-causing mutations. The large circles represent human cells. The nucleus (N) and mitochondria (multiple ovals) are represented. Arrow 1 — mutation occurs in a single mitochondrial DNA (mtDNA). Arrow 2 — due to bottleneck and/or selection events the mutant mtDNA molecule could either become fixed within the cellular mitochondrial population (A), remain in only a portion of the mitochondrial population (B), or be completely eliminated from the cellular population (C). Arrow I in the phylogenetic tree: any of the three conditions could become rare, i.e. represented by rare cells in a tested tissue or a rare individual within the human population. Arrow II in the phylogenetic tree: alternatively, the mutant could become common, i.e. fixed in the cellular population or in a node of the human population. The latter could occur either due to random genetic drift or positive selection whereas the former (rare) mutant could still be subjected to negative selection and will be eliminated at subsequent stages. [93,94]. We noticed that most of these reports sift out mutations that have occurred in nucleotide positions harboring a genetic variant, in order to focus on ‘real’ de novo mutations with functional (‘driver’) potential. Fortunately for us, this was not true of all the reports. We recently performed an analysis using a dataset of 83 whole mtDNA pairs sequenced from normal and corresponding head and neck squamous cell carcinoma [95], as well as 15 paired normal and pancreatic cancer samples [96]. Our analysis revealed preferential accumulation of de novo mutations in sites harboring ancient mtDNA variants [97]. Such a tendency was previously implied in metaanalysis of multiple tumors [93]. When counting recurrent de novo combinations of mutations, we noticed that they strikingly recapitulated major mtDNA haplogroups harboring combinations of up to 7 different mutations [97]. It is noteworthy that many mutational screens for mtDNA de novo mutations in several cancer types failed to identify any of the known mitochondrial disease-causing mutations, suggesting some type of negative selection against these alterations in cancer. This suggests that human evolution and the types of cancer that were studied are likely to be under similar selective constraints. Similarly, most mutations causing Familial Mediterranean Fever in the protein Pyrin recapitulate the primate ancestral state [98], thus further supporting the view that ancient variants could have functional consequences whenever their genetic context changes. These evidence imply that evolutionary principles not only govern the formation and occurrence of both disease-causing mutations and genetic variants, but that changing the genetic landscape could transform a relatively innocent genetic variant to a disease-causing mutation. 6. Concluding remarks One of the worries a clinical geneticist faces is the possibility that a disease-causing mutation found in a patient sample is confined to his own family, and that the disease can be caused by many other mutations in many other genes, each confined to a certain family. This means that of the similar mutations that comprise human genetic diversity, the mutations causing common diseases could form a genetic repertoire of their own. Some of these mutations will be more common than others either (A) due to drift and population expansion owing to the degree of their expressivity in combination with the various genetic backgrounds or (B) due to natural selection favoring their survival in certain conditions. In this perspective, we underlined the similarity rather than the difference between disease-causing mutations and genetic variants, not only because both obey the principles and rules of evolution, but because in some conditions the very same mutations could be nearly harmless variants or cause disease. Thus, taking into account the principles of evolution while investigating the molecular basis of diseases could pave the path towards the discovery of the causes of diseases not necessarily in the form of novel mutations but also in the form of ‘Janus’-like (two faced) genetic variants. Acknowledgements The authors wish to thank Naama Shani, BGU, for critical reading of the manuscript. This work was supported by grants from the Israeli Science Foundation (ISF), Bikurah F.I.R.S.T. Foundation and Israel Cancer Association awarded to D.M. The authors also thank the Israeli Ministry of Absorption for a graduate student scholarship to I.Z. References [1] C. Darwin, On the origin of species by means of natural selection, or the preservation of favoured races in the struggle for life, John Murray, 1859. [2] J. Diamond, Evolution, consequences and future of plant and animal domestication, Nature 418 (2002) 700–707. [3] V. Eshed, A. Gopher, T.B. Gage, I. Hershkovitz, Has the transition to agriculture reshaped the demographic structure of prehistoric populations? New evidence from the Levant, Am. J. Phys. Anthropol. 124 (2004) 315–329. [4] J.P. Griffin, Changing life expectancy throughout history, J. R. Soc. Med. 101 (2008) 577. [5] N.J. Schork, S.S. Murray, K.A. Frazer, E.J. Topol, Common vs. rare allele hypotheses for complex diseases, Curr. Opin. Genet. Dev. 19 (2009) 212–219. [6] J.V. Neel, Diabetes mellitus: a “thrifty” genotype rendered detrimental by “progress”? Am. J. Hum. Genet. 14 (1962) 353–362. [7] P. Arese, How genetics and biology helped humanity to survive falciparum malaria, Parassitologia 48 (2006) 553–559. [8] M. Lynch, B. Koskella, S. Schaack, Mutation pressure and the evolution of organelle genomic architecture, Science 311 (2006) 1727–1730. [9] M. Gershoni, A.R. Templeton, D. Mishmar, Mitochondrial bioenergetics as a major motive force of speciation, Bioessays 31 (2009) 642–650. [10] J. Das, The role of mitochondrial respiration in physiological and evolutionary adaptation, Bioessays 28 (2006) 890–901. [11] L.M. Cree, D.C. Samuels, S.C. de Sousa Lopes, H.K. Rajasimha, P. Wonnapinij, J.R. Mann, H.H. Dahl, P.F. Chinnery, A reduction of mitochondrial DNA molecules during embryogenesis explains the rapid segregation of genotypes, Nat. Genet. 40 (2008) 249–254. [12] T. Wai, D. Teoli, E.A. Shoubridge, The mitochondrial DNA genetic bottleneck results from replication of a subpopulation of genomes, Nat. Genet. 40 (2008) 1484–1488. [13] F. Diaz, M.P. Bayona-Bafaluy, M. Rana, M. Mora, H. Hao, C.T. Moraes, Human mitochondrial DNA with large deletions repopulates organelles faster than fulllength genomes under relaxed copy number control, Nucleic Acids Res. 30 (2002) 4626–4633. [14] G. Gasparre, L. Iommarini, A.M. Porcelli, M. Lang, G.G. Ferri, I. Kurelac, R. Zuntini, E. Mariani, L.F. Pennisi, E. Pasquini, G. Pasquinelli, A. Ghelli, E. Bonora, C. Ceccarelli, D. Mishmar, I. Zhidkov / Biochimica et Biophysica Acta 1797 (2010) 1099–1104 [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] M. Rugolo, N. Salfi, G. Romeo, V. Carelli, An inherited mitochondrial DNA disruptive mutation shifts to homoplasmy in oncocytic tumor cells, Hum. Mutat. 30 (2009) 391–396. J.A. Petros, A.K. Baumann, E. Ruiz-Pesini, M.B. Amin, C.Q. Sun, J. Hall, S. Lim, M.M. Issa, W.D. Flanders, S.H. Hosseini, F.F. Marshall, D.C. Wallace, mtDNA mutations increase tumorigenicity in prostate cancer, Proc. Natl. Acad. Sci. U. S. A. 102 (2005) 719–724. Y. Shidara, K. Yamagata, T. Kanamori, K. Nakano, J.Q. Kwong, G. Manfredi, H. Oda, S. Ohta, Positive contribution of pathogenic mutations in the mitochondrial genome to the promotion of cancer by prevention from apoptosis, Cancer Res. 65 (2005) 1655–1663. P.F. Chinnery, D.R. Thorburn, D.C. Samuels, S.L. White, H.H. Dahl, D.M. Turnbull, R.N. Lightowlers, N. Howell, The inheritance of mitochondrial DNA heteroplasmy: random drift, selection or both? Trends Genet. 16 (2000) 500–505. D.M. Rand, R.A. Haney, A.J. Fry, Cytonuclear coevolution: the genomics of cooperation, Trends Ecol. Evol. 19 (2004) 645–653. A. Barrientos, L. Kenyon, C.T. Moraes, Human xenomitochondrial cybrids. Cellular models of mitochondrial complex I deficiency, J. Biol. Chem. 273 (1998) 14210–14217. A. Barrientos, C.T. Moraes, Simultaneous transfer of mitochondrial DNA and single chromosomes in somatic cells: a novel approach for the study of defects in nuclear–mitochondrial communication, Hum. Mol. Genet. 7 (1998) 1801–1808. M.P. Bayona-Bafaluy, S. Muller, C.T. Moraes, Fast adaptive coevolution of nuclear and mitochondrial subunits of ATP synthetase in orangutan, Mol. Biol. Evol. 22 (2005) 716–724. G.F. Mastromonaco, L.A. Favetta, L.C. Smith, F. Filion, W.A. King, The influence of nuclear content on developmental competence of gaur x cattle hybrid in vitro fertilized and somatic cell nuclear transfer embryos, Biol. Reprod. 76 (2007) 514–523. A.A. Kazuno, K. Munakata, T. Nagai, S. Shimozono, M. Tanaka, M. Yoneda, N. Kato, A. Miyawaki, T. Kato, Identification of mitochondrial DNA polymorphisms that alter mitochondrial matrix pH and intracellular calcium dynamics, PLoS Genet. 2 (2006) e128. R. Moreno-Loshuertos, R. Acin-Perez, P. Fernandez-Silva, N. Movilla, A. PerezMartos, S.R. de Cordoba, M.E. Gallardo, J.A. Enriquez, Differences in reactive oxygen species production explain the phenotypes associated with common mouse mitochondrial DNA variants, Nat. Genet. 38 (2006) 1261–1268. R. Pello, M.A. Martin, V. Carelli, L.G. Nijtmans, A. Achilli, M. Pala, A. Torroni, A. Gomez-Duran, E. Ruiz-Pesini, A. Martinuzzi, J.A. Smeitink, J. Arenas, C. Ugalde, Mitochondrial DNA background modulates the assembly kinetics of OXPHOS complexes in a cellular model of mitochondrial disease, Hum. Mol. Genet. 17 (2008) 4001–4011. D.K. Dowling, U. Friberg, F. Hailer, G. Arnqvist, Intergenomic epistasis for fitness: within-population interactions between cytoplasmic and nuclear genes in Drosophila melanogaster, Genetics 175 (2007) 235–244. O. Niehuis, A.K. Judson, J. Gadau, Cytonuclear genic incompatibilities cause increased mortality in male F2 hybrids of Nasonia giraulti and N. vitripennis, Genetics 178 (2008) 413–426. M. Pravenec, M. Hyakukoku, J. Houstek, V. Zidek, V. Landa, P. Mlejnek, I. Miksik, K. Dudova-Mothejzikova, P. Pecina, M. Vrbacky, Z. Drahota, A. Vojtiskova, T. Mracek, L. Kazdova, O. Oliyarnyk, J. Wang, C. Ho, N. Qi, K. Sugimoto, T. Kurtz, Direct linkage of mitochondrial genome variation to risk factors for type 2 diabetes in conplastic strains, Genome Res. 17 (2007) 1319–1326. M. Yamaoka, K. Isobe, H. Shitara, H. Yonekawa, S. Miyabayashi, J.I. Hayashi, Complete repopulation of mouse mitochondrial DNA-less cells with rat mitochondrial DNA restores mitochondrial translation but not mitochondrial respiratory function, Genetics 155 (2000) 301–307. R.S. Burton, C.K. Ellison, J.S. Harrison, The sorry state of F2 hybrids: consequences of rapid mitochondrial DNA evolution in allopatric populations, Am. Nat. 168 (Suppl 6) (2006) S14–S24. C.K. Ellison, R.S. Burton, Interpopulation hybrid breakdown maps to the mitochondrial genome, Evolution 62 (2008) 631–638. T.B. Sackton, R.A. Haney, D.M. Rand, Cytonuclear coadaptation in Drosophila: disruption of cytochrome c oxidase activity in backcross genotypes, Evolut. Int. J. Org. Evolut. 57 (2003) 2315–2325. P. Potluri, A. Davila, E. Ruiz-Pesini, D. Mishmar, S. O'Hearn, S. Hancock, M. Simon, I.E. Scheffler, D.C. Wallace, V. Procaccio, A novel NDUFA1 mutation leads to a progressive mitochondrial complex I-specific neurodegenerative disease, Mol. Genet. Metab. 96 (2009) 189–195. S.J. Hoefs, C.E. Dieteren, R.J. Rodenburg, K. Naess, H. Bruhn, R. Wibom, E. Wagena, P.H. Willems, J.A. Smeitink, L.G. Nijtmans, L.P. van den Heuvel, Baculovirus complementation restores a novel NDUFAF2 mutation causing complex I deficiency, Hum. Mutat. 30 (2009) E728–E736. M. Zeviani, S. Di Donato, Mitochondrial disorders, Brain 127 (2004) 2153–2172. E. Ruiz-Pesini, D. Mishmar, M. Brandon, V. Procaccio, D.C. Wallace, Effects of purifying and adaptive selection on regional variation in human mtDNA, Science 303 (2004) 223–226. A.H. Schapira, Mitochondrial disease, Lancet 368 (2006) 70–82. B. Fritz, M. Aslan, V. Kalscheuer, M. Ramsing, K. Saar, B. Fuchs, H. Rehder, Low incidence of UPD in spontaneous abortions beyond the 5th gestational week, Eur. J. Hum. Genet. 9 (2001) 910–916. G. Hudson, V. Carelli, L. Spruijt, M. Gerards, C. Mowbray, A. Achilli, A. Pyle, J. Elson, N. Howell, C. La Morgia, M.L. Valentino, K. Huoponen, M.L. Savontaus, E. Nikoskelainen, A.A. Sadun, S.R. Salomao, R. Belfort Jr., P. Griffiths, P.Y. Man, R.F. de Coo, R. Horvath, M. Zeviani, H.J. Smeets, A. Torroni, P.F. Chinnery, Clinical expression of Leber hereditary optic neuropathy is affected by the mitochondrial DNA-haplogroup background, Am. J. Hum. Genet. 81 (2007) 228–233. 1103 [40] G. Hudson, S. Keers, P. Yu Wai Man, P. Griffiths, K. Huoponen, M.L. Savontaus, E. Nikoskelainen, M. Zeviani, F. Carrara, R. Horvath, V. Karcagi, L. Spruijt, I.F. de Coo, H.J. Smeets, P.F. Chinnery, Identification of an X-chromosomal locus and haplotype modulating the phenotype of a mitochondrial DNA disorder, Am. J. Hum. Genet. 77 (2005) 1086–1091. [41] M.D. Brown, E. Starikovskaya, O. Derbeneva, S. Hosseini, J.C. Allen, I.E. Mikhailovskaya, R.I. Sukernik, D.C. Wallace, The role of mtDNA background in disease expression: a new primary LHON mutation associated with Western Eurasian haplogroup J, Hum. Genet. 110 (2002) 130–138. [42] H.R. Elliott, D.C. Samuels, J.A. Eden, C.L. Relton, P.F. Chinnery, Pathogenic mitochondrial DNA mutations are common in the general population, Am. J. Hum. Genet. 83 (2008) 254–260. [43] M. Crimi, R. Del Bo, S. Galbiati, M. Sciacco, A. Bordoni, N. Bresolin, G.P. Comi, Mitochondrial A12308G polymorphism affects clinical features in patients with single mtDNA macrodeletion, Eur. J. Hum. Genet. 11 (2003) 896–898. [44] P. Goymer, The evolution of cancer, Nature 454 (2008) 1046–1048. [45] C.D. Meiklejohn, K.L. Montooth, D.M. Rand, Positive and negative selection on the mitochondrial genome, Trends Genet. 23 (2007) 259–263. [46] T. Kivisild, P. Shen, D.P. Wall, B. Do, R. Sung, K. Davis, G. Passarino, P.A. Underhill, C. Scharfe, A. Torroni, R. Scozzari, D. Modiano, A. Coppa, P. de Knijff, M. Feldman, L.L. Cavalli-Sforza, P.J. Oefner, The role of selection in the evolution of human mitochondrial genomes, Genetics 172 (2006) 373–387. [47] D. Mishmar, E. Ruiz-Pesini, P. Golik, V. Macaulay, A.G. Clark, S. Hosseini, M. Brandon, K. Easley, E. Chen, M.D. Brown, R.I. Sukernik, A. Olckers, D.C. Wallace, Natural selection shaped regional mtDNA variation in humans, Proc. Natl. Acad. Sci. U. S. A. 100 (2003) 171–176. [48] E. Ruiz-Pesini, D.C. Wallace, Evidence for adaptive selection acting on the tRNA and rRNA genes of human mitochondrial DNA, Hum. Mutat. 27 (2006) 1072–1081. [49] M. Ingman, H. Kaessmann, S. Paabo, U. Gyllensten, Mitochondrial genome variation and the origin of modern humans, Nature 408 (2000) 708–713. [50] D.C. Wallace, Mitochondrial diseases in man and mouse, Science 283 (1999) 1482–1488. [51] J.M. van der Walt, K.K. Nicodemus, E.R. Martin, W.K. Scott, M.A. Nance, R.L. Watts, J.P. Hubble, J.L. Haines, W.C. Koller, K. Lyons, R. Pahwa, M.B. Stern, A. Colcher, B.C. Hiner, J. Jankovic, W.G. Ondo, F.H. Allen Jr., C.G. Goetz, G.W. Small, F. Mastaglia, J.M. Stajich, A.C. McLaurin, L.T. Middleton, B.L. Scott, D.E. Schmechel, M.A. Pericak-Vance, J.M. Vance, Mitochondrial polymorphisms significantly reduce the risk of Parkinson disease, Am. J. Hum. Genet. 72 (2003) 804–811. [52] K. Gaweda-Walerych, A. Maruszak, K. Safranow, M. Bialecka, G. Klodowska-Duda, K. Czyzewski, J. Slawek, M. Rudzinska, M. Styczynska, G. Opala, M. Drozdzik, J.A. Canter, M. Barcikowska, C. Zekanowski, Mitochondrial DNA haplogroups and subhaplogroups are associated with Parkinson's disease risk in a Polish PD cohort, J. Neural. Transm. 115 (2008) 1521–1526. [53] D. Ghezzi, C. Marelli, A. Achilli, S. Goldwurm, G. Pezzoli, P. Barone, M.T. Pellecchia, P. Stanzione, L. Brusa, A.R. Bentivoglio, U. Bonuccelli, L. Petrozzi, G. Abbruzzese, R. Marchese, P. Cortelli, D. Grimaldi, P. Martinelli, C. Ferrarese, B. Garavaglia, S. Sangiorgi, V. Carelli, A. Torroni, A. Albanese, M. Zeviani, Mitochondrial DNA haplogroup K is associated with a lower risk of Parkinson's disease in Italians, Eur. J. Hum. Genet. 13 (2005) 748–752. [54] C. Huerta, M.G. Castro, E. Coto, M. Blazquez, R. Ribacoba, L.M. Guisasola, C. Salvador, C. Martinez, C.H. Lahoz, V. Alvarez, Mitochondrial DNA polymorphisms and risk of Parkinson's disease in Spanish population, J. Neurol. Sci. 236 (2005) 49–54. [55] A. Pyle, T. Foltynie, W. Tiangyou, C. Lambert, S.M. Keers, L.M. Allcock, J. Davison, S.J. Lewis, R.H. Perry, R. Barker, D.J. Burn, P.F. Chinnery, Mitochondrial DNA haplogroup cluster UKJT reduces the risk of PD, Ann. Neurol. 57 (2005) 564–567. [56] O.A. Ross, R. McCormack, L.D. Maxwell, R.A. Duguid, D.J. Quinn, Y.A. Barnett, I.M. Rea, O.M. El-Agnaf, J.M. Gibson, A. Wallace, D. Middleton, M.D. Curran, mt4216C variant in linkage with the mtDNA TJ cluster may confer a susceptibility to mitochondrial dysfunction resulting in an increased risk of Parkinson's disease in the Irish, Exp. Gerontol. 38 (2003) 397–405. [57] J. Feder, I. Blech, O. Ovadia, S. Amar, J. Wainstein, I. Raz, S. Dadon, D.E. Arking, B. Glaser, D. Mishmar, Differences in mtDNA haplogroup distribution among 3 Jewish populations alter susceptibility to T2DM complications, BMC Genomics 9 (2008) 198. [58] J. Feder, O. Ovadia, I. Blech, J. Cohen, J. Wainstein, I. Harman-Boehm, B. Glaser, D. Mishmar, Parental diabetes status reveals association of mitochondrial DNA haplogroup J1 with type 2 diabetes, BMC Med. Genet. 10 (2009) 60. [59] N. Fuku, K.S. Park, Y. Yamada, Y.M. Cho, H. Matsuo, T. Segawa, S. Watanabe, K. Kato, K. Yokoi, Y. Nozawa, H.K. Lee, M. Tanaka, Mitochondrial haplogroup N9a confers resistance against type 2 diabetes in Asians, Am. J. Hum. Genet. 80 (2007) 407–415. [60] W.Q. Liao, Y. Pang, C.A. Yu, J.Y. Wen, Y.G. Zhang, X.H. Li, Novel mutations of mitochondrial DNA associated with type 2 diabetes in Chinese Han population, Tohoku J. Exp. Med. 215 (2008) 377–384. [61] A. Marcuello, D. Martinez-Redondo, Y. Dahmani, J.A. Casajus, E. Ruiz-Pesini, J. Montoya, M.J. Lopez-Perez, C. Diez-Sanchez, Human mitochondrial variants influence on oxygen consumption, Mitochondrion 9 (2009) 27–30. [62] A.K. Niemi, K. Majamaa, Mitochondrial DNA and ACTN3 genotypes in Finnish elite endurance and sprint athletes, Eur. J. Hum. Genet. 13 (2005) 965–969. [63] Y. Tamura, H. Watada, Y. Tanaka, N. Daimaru, T. Nomiyama, K. Sakuraba, K. Sawaki, R. Kawamori, Preliminary report: mitochondrial DNA 5178 polymorphism in male elite Japanese endurance runners, Metabolism 59 (1) (2010) 62–63. [64] M. Arnestad, S.H. Opdal, A. Vege, T.O. Rognum, A mitochondrial DNA polymorphism associated with cardiac arrhythmia investigated in sudden infant death syndrome, Acta Paediatr. 96 (2007) 206–210. 1104 D. Mishmar, I. Zhidkov / Biochimica et Biophysica Acta 1797 (2010) 1099–1104 [65] Y. Nishigaki, Y. Yamada, N. Fuku, H. Matsuo, T. Segawa, S. Watanabe, K. Kato, K. Yokoi, S. Yamaguchi, Y. Nozawa, M. Tanaka, Mitochondrial haplogroup N9b is protective against myocardial infarction in Japanese males, Hum. Genet. 120 (2007) 827–836. [66] T. Pulkes, M.G. Sweeney, M.G. Hanna, Increased risk of stroke in patients with the A12308G polymorphism in mitochondria, Lancet 356 (2000) 2068–2069. [67] S. Mukae, S. Aoki, S. Itoh, R. Sato, K. Nishio, T. Iwata, T. Katagiri, Mitochondrial 5178A/ C genotype is associated with acute myocardial infarction, Circ. J. 67 (2003) 16–20. [68] J.P. SanGiovanni, D.E. Arking, S.K. Iyengar, M. Elashoff, T.E. Clemons, G.F. Reed, A.K. Henning, T.A. Sivakumaran, X. Xu, A. DeWan, E. Agron, E. Rochtchina, C.M. Sue, J.J. Wang, P. Mitchell, J. Hoh, P.J. Francis, M.L. Klein, E.Y. Chew, A. Chakravarti, Mitochondrial DNA variants of respiratory complex I that uniquely characterize haplogroup T2 are associated with increased risk of age-related macular degeneration, PLoS One 4 (2009) e5508. [69] J.A. Canter, L.M. Olson, K. Spencer, N. Schnetz-Boutaud, B. Anderson, M.A. Hauser, S. Schmidt, E.A. Postel, A. Agarwal, M.A. Pericak-Vance, P. Sternberg Jr., J.L. Haines, Mitochondrial DNA polymorphism A4917G is independently associated with agerelated macular degeneration, PLoS One 3 (2008) e2091. [70] M.M. Jones, N. Manwaring, J.J. Wang, E. Rochtchina, P. Mitchell, C.M. Sue, Mitochondrial DNA haplogroups and age-related maculopathy, Arch. Ophthalmol. 125 (2007) 1235–1240. [71] Y. Dahmani, A. Marcuello, C. Diez-Sanchez, E. Ruiz-Pesini, J. Montoya, M.J. LopezPerez, Association of human mitochondrial DNA variants with plasma LDL levels, Mitochondrion 8 (2008) 247–253. [72] S. Hofmann, R. Bezold, M. Jaksch, B. Obermaier-Kusser, S. Mertens, P. Kaufhold, W. Rabl, W. Hecker, K.D. Gerbitz, Wolfram (DIDMOAD) syndrome and Leber hereditary optic neuropathy (LHON) are associated with distinct mitochondrial DNA haplotypes, Genomics 39 (1997) 8–18. [73] S. Lal, M. Madhavan, C.K. Heng, The association of mitochondrial DNA 5178 C N a polymorphism with plasma lipid levels among three ethnic groups, Ann. Hum. Genet. 69 (2005) 639–644. [74] S. Amar, A. Shamir, O. Ovadia, M. Blanaru, A. Reshef, I. Kremer, M. Rietschel, T.G. Schulze, W. Maier, R.H. Belmaker, R.P. Ebstein, G. Agam, D. Mishmar, Mitochondrial DNA HV lineage increases the susceptibility to schizophrenia among Israeli Arabs, Schizophr. Res. 94 (2007) 354–358. [75] B. Rollins, M.V. Martin, P.A. Sequeira, E.A. Moon, L.Z. Morgan, S.J. Watson, A. Schatzberg, H. Akil, R.M. Myers, E.G. Jones, D.C. Wallace, W.E. Bunney, M.P. Vawter, Mitochondrial variants in schizophrenia, bipolar disorder, and major depressive disorder, PLoS One 4 (2009) e4913. [76] R.K. Bai, S.M. Leal, D. Covarrubias, A. Liu, L.J. Wong, Mitochondrial genetic background modifies breast cancer risk, Cancer Res. 67 (2007) 4687–4694. [77] A. Pezzotti, P. Kraft, S.E. Hankinson, D.J. Hunter, J. Buring, D.G. Cox, The mitochondrial A10398G polymorphism, interaction with alcohol consumption, and breast cancer risk, PLoS One 4 (2009) e5356. [78] J.A. Canter, A.R. Kallianpur, F.F. Parl, R.C. Millikan, Mitochondrial DNA G10398A polymorphism and invasive breast cancer in African-American women, Cancer Res. 65 (2005) 8028–8033. [79] J.F. Montiel-Sosa, J.A. Enriquez, M.J. Lopez-Perez, Research of single mitochondrial nucleotide substitutions in male infertility should consider human mitochondrial haplogroups, Int. J. Androl. 25 (2002) 372–373 author reply 374. [80] E. Ruiz-Pesini, A.C. Lapena, C. Diez-Sanchez, A. Perez-Martos, J. Montoya, E. Alvarez, M. Diaz, A. Urries, L. Montoro, M.J. Lopez-Perez, J.A. Enriquez, Human mtDNA haplogroups associated with high or reduced spermatozoa motility, Am. J. Hum. Genet. 67 (2000) 682–696. [81] F. Montiel-Sosa, E. Ruiz-Pesini, J.A. Enriquez, A. Marcuello, C. Diez-Sanchez, J. Montoya, D.C. Wallace, M.J. Lopez-Perez, Differences of sperm motility in mitochondrial DNA haplogroup U sublineages, Gene 368 (2006) 21–27. [82] G. De Benedictis, G. Rose, G. Carrieri, M. De Luca, E. Falcone, G. Passarino, M. Bonafe, D. Monti, G. Baggio, S. Bertolini, D. Mari, R. Mattace, C. Franceschi, Mitochondrial DNA inherited variants are associated with successful aging and longevity in humans, FASEB J. 13 (1999) 1532–1536. [83] A.K. Niemi, A. Hervonen, M. Hurme, P.J. Karhunen, M. Jylha, K. Majamaa, Mitochondrial DNA polymorphisms associated with longevity in a Finnish population, Hum. Genet. 112 (2003) 29–33. [84] O.A. Ross, R. McCormack, M.D. Curran, R.A. Duguid, Y.A. Barnett, I.M. Rea, D. Middleton, Mitochondrial DNA polymorphism: its role in longevity of the Irish population, Exp. Gerontol. 36 (2001) 1161–1178. [85] X.Y. Cai, X.F. Wang, S.L. Li, J. Qian, D.G. Qian, F. Chen, Y.J. Yang, Z.Y. Yuan, J. Xu, Y. Bai, S.Z. Yu, L. Jin, Association of mitochondrial DNA haplogroups with exceptional longevity in a Chinese population, PLoS One 4 (2009) e6423. [86] E. Dominguez-Garrido, D. Martinez-Redondo, C. Martin-Ruiz, A. Gomez-Duran, E. Ruiz-Pesini, P. Madero, M. Tamparillas, J. Montoya, T. von Zglinicki, C. DiezSanchez, M.J. Lopez-Perez, Association of mitochondrial haplogroup J and mtDNA oxidative damage in two different North Spain elderly populations, Biogerontology 10 (2009) 435–442. [87] D.C. Samuels, A.D. Carothers, R. Horton, P.F. Chinnery, The power to detect disease associations with mitochondrial DNA haplogroups, Am. J. Hum. Genet. 78 (2006) 713–720. [88] E.E. Mueller, W. Eder, J.A. Mayr, B. Paulweber, W. Sperl, W. Horninger, H. Klocker, B. Kofler, Mitochondrial haplogroups and control region polymorphisms are not associated with prostate cancer in Middle European Caucasians, PLoS One 4 (2009) e6370. [89] R. Saxena, P.I. de Bakker, K. Singer, V. Mootha, N. Burtt, J.N. Hirschhorn, D. Gaudet, B. Isomaa, M.J. Daly, L. Groop, K.G. Ardlie, D. Altshuler, Comprehensive association testing of common mitochondrial DNA variation in metabolic disease, Am. J. Hum. Genet. 79 (2006) 54–61. [90] L.I. Shlush, G. Atzmon, R. Weisshof, D. Behar, G. Yudkovsky, N. Barzilai, K. Skorecki, Ashkenazi Jewish centenarians do not demonstrate enrichment in mitochondrial haplogroup J, PLoS One 3 (2008) e3425. [91] M. Kulawiec, K.M. Owens, K.K. Singh, mtDNA G10398A variant in AfricanAmerican women with breast cancer provides resistance to apoptosis and promotes metastasis in mice, J. Hum. Genet. 54 (11) (2009) 647–654. [92] S. Suissa, Z. Wang, J. Poole, S. Wittkopp, J. Feder, T.E. Shutt, D.C. Wallace, G.S. Shadel, D. Mishmar, Ancient mtDNA genetic variants modulate mtDNA transcription and replication, PLoS Genet. 5 (2009) e1000474. [93] M. Brandon, P. Baldi, D.C. Wallace, Mitochondrial mutations in cancer, Oncogene 25 (2006) 4647–4662. [94] S. Ohta, Contribution of somatic mutations in the mitochondrial genome to the development of cancer and tolerance against anticancer drugs, Oncogene 25 (2006) 4768–4776. [95] S. Zhou, S. Kachhap, W. Sun, G. Wu, A. Chuang, L. Poeta, L. Grumbine, S.K. Mithani, A. Chatterjee, W. Koch, W.H. Westra, A. Maitra, C. Glazer, M. Carducci, D. Sidransky, T. McFate, A. Verma, J.A. Califano, Frequency and phenotypic implications of mitochondrial DNA mutations in human squamous cell cancers of the head and neck, Proc. Natl. Acad. Sci. U. S. A. 104 (2007) 7540–7545. [96] K. Kassauei, N. Habbe, M.E. Mullendore, C.A. Karikari, A. Maitra, G. Feldmann, Mitochondrial DNA mutations in pancreatic cancer, Int. J. Gastrointest. Cancer 37 (2006) 57–64. [97] I. Zhidkov, E.A. Livneh, E. Rubin, D. Mishmar, mtDNA mutation pattern in tumors and human evolution are shaped by similar selective constraints, Genome Res. 19 (2009) 576–580. [98] P. Schaner, N. Richards, A. Wadhwa, I. Aksentijevich, D. Kastner, P. Tucker, D. Gumucio, Episodic evolution of pyrin in primates: human mutations recapitulate ancestral amino acid states, Nat. Genet. 27 (2001) 318–321.
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