Literature DB >> 18442324

Do mitochondrial DNA and metabolic rate complement each other in determination of the mammalian maximum longevity?

Gilad Lehmann1, Elena Segal, Khachik K Muradian, Vadim E Fraifeld.   

Abstract

In animal cells, mitochondria are semiautonomous organelles of virtually "hostile" (bacterial) origin, with their own code and genome (mtDNA). The semiautonomy and restricted resources could result in occasional "conflicts of interests" with other cellular components, in which mitochondria have greater chances to be "the weakest link," thus limiting longevity. Two principal questions are addressed: (1) to what extent the mammalian maximum life span (MLS) is associated with mtDNA base composition? (2) Does mtDNA base composition correlate with another important mitochondria-associated variable-resting metabolic rate (RMR)-and whether they complement each other in determination of MLS? Analysis of 140 mammalian species revealed significant correlations between MLS and the content of the four mtDNA nucleotides, especially noted for GC pairs (r(2) = 0.42; p < 10(-17)). The most remarkable finding of this study is that multivariate stepwise analysis selected only the GC content and RMR, which together explained 77% of variation in MLS (p < 10(-25)). To the authors' knowledge, it is the highest coefficient of MLS determination that has ever been reported for a comparable sample size. Taking into account substantial errors in estimation of MLS and RMR, it could mean that the GC and RMR explain most of the MLS biological variation. Other putative players in MLS determination should have relatively small contribution or their effects should be realized via the same channels. Although further research is clearly warranted, the extraordinary high correlation of mtDNA GC and RMR with MLS suggests a "direct hitting" of the core longevity targets, inferring mitochondria as a primary object for longevity-promoting interventions.

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Year:  2008        PMID: 18442324     DOI: 10.1089/rej.2008.0676

Source DB:  PubMed          Journal:  Rejuvenation Res        ISSN: 1549-1684            Impact factor:   4.663


  9 in total

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Authors:  Xiang Jia Min; Donal A Hickey
Journal:  J Mol Evol       Date:  2008-09-23       Impact factor: 2.395

2.  ImtRDB: a database and software for mitochondrial imperfect interspersed repeats annotation.

Authors:  Viktor A Shamanskiy; Valeria N Timonina; Konstantin Yu Popadin; Konstantin V Gunbin
Journal:  BMC Genomics       Date:  2019-05-08       Impact factor: 3.969

Review 3.  The Human Ageing Genomic Resources: online databases and tools for biogerontologists.

Authors:  João Pedro de Magalhães; Arie Budovsky; Gilad Lehmann; Joana Costa; Yang Li; Vadim Fraifeld; George M Church
Journal:  Aging Cell       Date:  2008-11-05       Impact factor: 9.304

4.  Stability of mitochondrial membrane proteins in terrestrial vertebrates predicts aerobic capacity and longevity.

Authors:  Yasuhiro Kitazoe; Hirohisa Kishino; Masami Hasegawa; Atsushi Matsui; Nick Lane; Masashi Tanaka
Journal:  Genome Biol Evol       Date:  2011-08-07       Impact factor: 3.416

5.  Increased Degradation Rates in the Components of the Mitochondrial Oxidative Phosphorylation Chain in the Cerebellum of Old Mice.

Authors:  Aurel Popa-Wagner; Raluca E Sandu; Coman Cristin; Adriana Uzoni; Kevin A Welle; Jennifer R Hryhorenko; Sina Ghaemmaghami
Journal:  Front Aging Neurosci       Date:  2018-02-16       Impact factor: 5.750

6.  Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals.

Authors:  Anton Y Kulaga; Eugen Ursu; Dmitri Toren; Vladyslava Tyshchenko; Rodrigo Guinea; Malvina Pushkova; Vadim E Fraifeld; Robi Tacutu
Journal:  Int J Mol Sci       Date:  2021-01-22       Impact factor: 5.923

7.  Telomere length and body temperature-independent determinants of mammalian longevity?

Authors:  Gilad Lehmann; Khachik K Muradian; Vadim E Fraifeld
Journal:  Front Genet       Date:  2013-06-13       Impact factor: 4.599

8.  Adaptive threonine increase in transmembrane regions of mitochondrial proteins in higher primates.

Authors:  Yasuhiro Kitazoe; Hirohisa Kishino; Masami Hasegawa; Noriaki Nakajima; Jeffrey L Thorne; Masashi Tanaka
Journal:  PLoS One       Date:  2008-10-06       Impact factor: 3.240

9.  MitoAge: a database for comparative analysis of mitochondrial DNA, with a special focus on animal longevity.

Authors:  Dmitri Toren; Thomer Barzilay; Robi Tacutu; Gilad Lehmann; Khachik K Muradian; Vadim E Fraifeld
Journal:  Nucleic Acids Res       Date:  2015-11-20       Impact factor: 16.971

  9 in total

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