Literature DB >> 19955481

An evolutionary genome scan for longevity-related natural selection in mammals.

Richard W Jobson1, Benoit Nabholz, Nicolas Galtier.   

Abstract

Aging is thought to occur through the accumulation of biochemical damage affecting DNA, proteins, and lipids. The major source of cellular damage involves the generation of reactive oxygen species produced during mitochondrial respiratory activity of the electron transport chain. Energetic metabolism, antioxidative processes, genome maintenance, and cell cycle are the cellular functions most commonly associated with aging, from experimental studies of model organisms. The significance of these experiments with respect to longevity-related selective constraints in nature remains unclear. Here we took a phylogenomic approach to identify the genetic targets of natural selection for elongated life span in mammals. By comparing the nonsynonymous and synonymous evolution of approximately 5.7 million codon sites across 25 species, we identify codons and genes showing a stronger level of amino acid conservation in long-lived than in short-lived lineages. We show that genes involved in lipid composition and (collagen associated) vitamin C binding have collectively undergone increased selective pressure in long-lived species, whereas genes involved in DNA replication/repair or antioxidation have not. Most of the candidate genes experimentally associated with aging (e.g., PolG, Sod, Foxo) have played no detectable role in the evolution of longevity in mammals. A large body of current medical research aims at discovering how to increase longevity in human. In this study, we uncovered the way natural selection has completed this task during mammalian evolution. Cellular membrane and extracellular collagen composition, not genome integrity, have apparently been the optimized features.

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Year:  2009        PMID: 19955481     DOI: 10.1093/molbev/msp293

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  26 in total

1.  Exceptionally old mice are highly resistant to lipoxidation-derived molecular damage.

Authors:  Lorena Arranz; Alba Naudí; Mónica De la Fuente; Reinald Pamplona
Journal:  Age (Dordr)       Date:  2012-02-25

2.  Accelerated protein evolution analysis reveals genes and pathways associated with the evolution of mammalian longevity.

Authors:  Yang Li; João Pedro de Magalhães
Journal:  Age (Dordr)       Date:  2011-12-29

Review 3.  Polyunsaturated fats, membrane lipids and animal longevity.

Authors:  A J Hulbert; Megan A Kelly; Sarah K Abbott
Journal:  J Comp Physiol B       Date:  2013-10-16       Impact factor: 2.200

4.  Assessing chronological aging in bacteria.

Authors:  Stavros Gonidakis; Valter D Longo
Journal:  Methods Mol Biol       Date:  2013

Review 5.  Lipids: biomarkers of healthy aging.

Authors:  I Almeida; S Magalhães; A Nunes
Journal:  Biogerontology       Date:  2021-04-10       Impact factor: 4.277

6.  Mitochondrial genomes reveal slow rates of molecular evolution and the timing of speciation in beavers (Castor), one of the largest rodent species.

Authors:  Susanne Horn; Walter Durka; Ronny Wolf; Aslak Ermala; Annegret Stubbe; Michael Stubbe; Michael Hofreiter
Journal:  PLoS One       Date:  2011-01-28       Impact factor: 3.240

7.  The long life of birds: the rat-pigeon comparison revisited.

Authors:  Magdalene K Montgomery; A J Hulbert; William A Buttemer
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

8.  Fast and robust characterization of time-heterogeneous sequence evolutionary processes using substitution mapping.

Authors:  Jonathan Romiguier; Emeric Figuet; Nicolas Galtier; Emmanuel J P Douzery; Bastien Boussau; Julien Y Dutheil; Vincent Ranwez
Journal:  PLoS One       Date:  2012-03-27       Impact factor: 3.240

9.  A method to find longevity-selected positions in the mammalian proteome.

Authors:  Jeremy Semeiks; Nick V Grishin
Journal:  PLoS One       Date:  2012-06-11       Impact factor: 3.240

Review 10.  Targeting metabolic pathways for extension of lifespan and healthspan across multiple species.

Authors:  Andrey A Parkhitko; Elizabeth Filine; Stephanie E Mohr; Alexey Moskalev; Norbert Perrimon
Journal:  Ageing Res Rev       Date:  2020-10-05       Impact factor: 11.788

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