Diversity of ageing across the tree of life.

dc.contributor.author

Jones, Owen R

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Scheuerlein, Alexander

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Salguero-Gómez, Roberto

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Camarda, Carlo Giovanni

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Schaible, Ralf

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Casper, Brenda B

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Dahlgren, Johan P

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Ehrlén, Johan

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García, María B

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Menges, Eric S

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Quintana-Ascencio, Pedro F

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Caswell, Hal

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Baudisch, Annette

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Vaupel, James W

dc.coverage.spatial

England

dc.date.accessioned

2017-06-01T19:45:30Z

dc.date.available

2017-06-01T19:45:30Z

dc.date.issued

2014-01-09

dc.description.abstract

Evolution drives, and is driven by, demography. A genotype moulds its phenotype's age patterns of mortality and fertility in an environment; these two patterns in turn determine the genotype's fitness in that environment. Hence, to understand the evolution of ageing, age patterns of mortality and reproduction need to be compared for species across the tree of life. However, few studies have done so and only for a limited range of taxa. Here we contrast standardized patterns over age for 11 mammals, 12 other vertebrates, 10 invertebrates, 12 vascular plants and a green alga. Although it has been predicted that evolution should inevitably lead to increasing mortality and declining fertility with age after maturity, there is great variation among these species, including increasing, constant, decreasing, humped and bowed trajectories for both long- and short-lived species. This diversity challenges theoreticians to develop broader perspectives on the evolution of ageing and empiricists to study the demography of more species.

dc.identifier

https://www.ncbi.nlm.nih.gov/pubmed/24317695

dc.identifier.eissn

1476-4687

dc.identifier.uri

https://hdl.handle.net/10161/14700

dc.language

eng

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Springer Science and Business Media LLC

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Nature

dc.subject

Aging

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Animals

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Biological Evolution

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Chlorophyta

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Fertility

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Longevity

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Phylogeny

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Plants

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Reproduction

dc.title

Diversity of ageing across the tree of life.

dc.type

Journal article

pubs.author-url

https://www.ncbi.nlm.nih.gov/pubmed/24317695

pubs.begin-page

169

pubs.end-page

173

pubs.issue

7482

pubs.organisational-group

Center for Population Health & Aging

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Duke

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Duke Population Research Institute

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Sanford School of Public Policy

pubs.publication-status

Published

pubs.volume

505

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