Literature DB >> 17339640

An analysis of the relationship between metabolism, developmental schedules, and longevity using phylogenetic independent contrasts.

João Pedro de Magalhães1, Joana Costa, George M Church.   

Abstract

Comparative studies of aging are often difficult to interpret because of the different factors that tend to correlate with longevity. We used the AnAge database to study these factors, particularly metabolism and developmental schedules, previously associated with longevity in vertebrate species. Our results show that, after correcting for body mass and phylogeny, basal metabolic rate does not correlate with longevity in eutherians or birds, although it negatively correlates with marsupial longevity and time to maturity. We confirm the idea that age at maturity is typically proportional to adult life span, and show that mammals that live longer for their body size, such as bats and primates, also tend to have a longer developmental time for their body size. Lastly, postnatal growth rates were negatively correlated with adult life span in mammals but not in birds. Our work provides a detailed view of factors related to species longevity with implications for how comparative studies of aging are interpreted.

Mesh:

Year:  2007        PMID: 17339640      PMCID: PMC2288695          DOI: 10.1093/gerona/62.2.149

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  28 in total

Review 1.  Why do we age?

Authors:  T B Kirkwood; S N Austad
Journal:  Nature       Date:  2000-11-09       Impact factor: 49.962

Review 2.  Growth versus lifespan: perspectives from evolutionary ecology.

Authors:  Neil B Metcalfe; Pat Monaghan
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Review 3.  Mechanisms of aging: an appraisal of the oxidative stress hypothesis.

Authors:  Rajindar S Sohal; Robin J Mockett; William C Orr
Journal:  Free Radic Biol Med       Date:  2002-09-01       Impact factor: 7.376

4.  The allometry of avian basal metabolic rate: good predictions need good data.

Authors:  Andrew E McKechnie; Blair O Wolf
Journal:  Physiol Biochem Zool       Date:  2004 May-Jun       Impact factor: 2.247

Review 5.  Genes that prolong life: relationships of growth hormone and growth to aging and life span.

Authors:  A Bartke; K Coschigano; J Kopchick; V Chandrashekar; J Mattison; B Kinney; S Hauck
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-08       Impact factor: 6.053

Review 6.  Cells discover fire: employing reactive oxygen species in development and consequences for aging.

Authors:  João Pedro de Magalhães; George M Church
Journal:  Exp Gerontol       Date:  2005-10-12       Impact factor: 4.032

7.  Placental mammal diversification and the Cretaceous-Tertiary boundary.

Authors:  Mark S Springer; William J Murphy; Eduardo Eizirik; Stephen J O'Brien
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-27       Impact factor: 11.205

8.  Enhanced longevity in tau mutant Syrian hamsters, Mesocricetus auratus.

Authors:  Malgorzata Oklejewicz; Serge Daan
Journal:  J Biol Rhythms       Date:  2002-06       Impact factor: 3.182

9.  Uncoupled and surviving: individual mice with high metabolism have greater mitochondrial uncoupling and live longer.

Authors:  John R Speakman; Darren A Talbot; Colin Selman; Sam Snart; Jane S McLaren; Paula Redman; Ela Krol; Diane M Jackson; Maria S Johnson; Martin D Brand
Journal:  Aging Cell       Date:  2004-06       Impact factor: 9.304

10.  Mammalian basal metabolic rate is proportional to body mass2/3.

Authors:  Craig R White; Roger S Seymour
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-13       Impact factor: 11.205

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  102 in total

1.  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

2.  Mutational bias plays an important role in shaping longevity-related amino acid content in mammalian mtDNA-encoded proteins.

Authors:  Juan Carlos Aledo; Héctor Valverde; João Pedro de Magalhães
Journal:  J Mol Evol       Date:  2012-06-30       Impact factor: 2.395

3.  Life-history connections to rates of aging in terrestrial vertebrates.

Authors:  Robert E Ricklefs
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

Review 4.  Endocrine function in naturally long-living small mammals.

Authors:  Rochelle Buffenstein; Mario Pinto
Journal:  Mol Cell Endocrinol       Date:  2008-07-15       Impact factor: 4.102

Review 5.  Insights into CNS ageing from animal models of senescence.

Authors:  Mark Yeoman; Greg Scutt; Richard Faragher
Journal:  Nat Rev Neurosci       Date:  2012-05-10       Impact factor: 34.870

6.  An evolutionary footprint of age-related natural selection in mitochondrial DNA.

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

7.  Group-foraging is not associated with longevity in North American birds.

Authors:  Guy Beauchamp
Journal:  Biol Lett       Date:  2009-09-23       Impact factor: 3.703

8.  Evolutionary entropy: a predictor of body size, metabolic rate and maximal life span.

Authors:  Lloyd Demetrius; Stéphane Legendre; Peter Harremöes
Journal:  Bull Math Biol       Date:  2009-01-27       Impact factor: 1.758

9.  Reduced mitochondrial ROS, enhanced antioxidant defense, and distinct age-related changes in oxidative damage in muscles of long-lived Peromyscus leucopus.

Authors:  Yun Shi; Daniel A Pulliam; Yuhong Liu; Ryan T Hamilton; Amanda L Jernigan; Arunabh Bhattacharya; Lauren B Sloane; Wenbo Qi; Asish Chaudhuri; Rochelle Buffenstein; Zoltan Ungvari; Steven N Austad; Holly Van Remmen
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2013-01-16       Impact factor: 3.619

Review 10.  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

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