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Mitochondrial Inverted Repeats Strongly Correlate with Lifespan: mtDNA Inversions and Aging

Overview of attention for article published in PLOS ONE, September 2013
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Title
Mitochondrial Inverted Repeats Strongly Correlate with Lifespan: mtDNA Inversions and Aging
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0073318
Pubmed ID
Authors

Jiang-Nan Yang, Andrei Seluanov, Vera Gorbunova

Abstract

Mitochondrial defects are implicated in aging and in a multitude of age-related diseases, such as cancer, heart failure, Parkinson's disease, and Huntington's disease. However, it is still unclear how mitochondrial defects arise under normal physiological conditions. Mitochondrial DNA (mtDNA) deletions caused by direct repeats (DRs) are implicated in the formation of mitochondrial defects, however, mitochondrial DRs show relatively weak (Pearson's r = -0.22, p<0.002; Spearman's ρ = -0.12, p = 0.1) correlation with maximum lifespan (MLS). Here we report a stronger correlation (Pearson's r = -0.55, p<10(-16); Spearman's ρ = -0.52, p<10(-14)) between mitochondrial inverted repeats (IRs) and lifespan across 202 species of mammals. We show that, in wild type mice under normal conditions, IRs cause inversions, which arise by replication-dependent mechanism. The inversions accumulate with age in the brain and heart. Our data suggest that IR-mediated inversions are more mutagenic than DR-mediated deletions in mtDNA, and impose stronger constraint on lifespan. Our study identifies IR-induced mitochondrial genome instability during mtDNA replication as a potential cause for mitochondrial defects.

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The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 3%
Taiwan 1 3%
Brazil 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 31%
Student > Bachelor 10 26%
Student > Ph. D. Student 5 13%
Professor > Associate Professor 3 8%
Other 2 5%
Other 3 8%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 46%
Biochemistry, Genetics and Molecular Biology 9 23%
Medicine and Dentistry 3 8%
Engineering 2 5%
Neuroscience 1 3%
Other 1 3%
Unknown 5 13%