Absence of Relationship between Mitochondrial DNA Evolutionary Rate and Longevity in Mammals except for CYTB
On the relationship between mitochondrion and longevity in mammals, two viewpoints have been proposed: one found that the amino acid substitution rates of most of the mitochondrial DNA-coding peptides were positively correlated with longevity, while the other raised the opposite view. To resolve this dichotomy, and to explore the relationship between mtDNA evolution and longevity in mammals, we examined this relationship in 85 mammal species, at the nucleotide sequence level. Previous studies have demonstrated that phylogenetic inertia, substitution saturation, and body mass can affect the relationship between longevity and substitution rate. Therefore, analyses should take these factors into account. This study found that after controlling the aforementioned factors, no significant positive or negative relationship existed between mitochondrial DNA evolutionary rate and longevity except for CYTB, partly agreeing with a previous study. Variations of longevity can be explained partly by the evolutionary rate of CYTB, but other influencing factors still need to be studied in the future.
KeywordsMtDNA evolutionary rate Longevity Mammals
We thank two anonymous reviewers for their valuable and constructive comments. This research was supported by the National Natural Science Foundation of China (NSFC) (grant no. 31500310 to P.F.); the Scientific Research Foundation of the Higher Education Institutions of Guangxi Province, China (grant no. KY2015ZD016 to P.F.); a Start-up Fund, and a Development Support Program for Young Scholar from Guangxi Normal University to P.F.
- Abascal F, Zardoya R, Posada D (2005) ProtTest: selection of best-fit models of protein evolution. Bioinformatics 21:2104–2105Google Scholar
- Bennettand PM, Harvey PH (2009) Active and resting metabolism in birds: allometry, phylogeny and ecology. J Zool 213:327–344Google Scholar
- Crofts AR, Lhee S, Crofts SB,Cheng J, Rose S (2006) Proton pumping in the bc1 complex: a new gating mechanism that prevents short circuits. Biochim Biophy Acta 1757:1019–1034Google Scholar
- Harvey D, Pagel MD (1991) The Comparative Method in Evolutionary Biology. Oxford University Press, OxfordGoogle Scholar
- Hasegawa M, Cao Y, Yang ZH (1998) Preponderance of slightly deleterious polymorphism in mitochondrial DNA: non-synonymous/synonymous rate ratio is much higher within species than between species. Mol Biol Evol 15:1499–1505Google Scholar
- Maddison WP, Maddison DRV (2009) Mesquite: a modular system for evolutionary analysis. Available at: http://mesquiteproject.org (Accessed 3 October 2011)
- Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28:2731–2739Google Scholar
- Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG (1997) The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res 25:4876–4882Google Scholar
- Tranah GJ (2011) Mitochondrial-nuclear epistasis: implications for human aging and longevity. Ageing Res Rev 10:238–252Google Scholar
- Yang ZH (2007) PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol 24:1586–1591Google Scholar