Diversity of ageing across the tree of life.
Identifieur interne : 003916 ( PubMed/Curation ); précédent : 003915; suivant : 003917Diversity of ageing across the tree of life.
Auteurs : Owen R. Jones ; Alexander Scheuerlein ; Roberto Salguero-G Mez [Australie] ; Carlo Giovanni Camarda [France] ; Ralf Schaible [Allemagne] ; Brenda B. Casper [États-Unis] ; Johan P. Dahlgren [Danemark] ; Johan Ehrlén [Suède] ; María B. García [Espagne] ; Eric S. Menges [États-Unis] ; Pedro F. Quintana-Ascencio [États-Unis] ; Hal Caswell [Pays-Bas] ; Annette Baudisch [Allemagne] ; James W. Vaupel [États-Unis]Source :
- Nature [ 1476-4687 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- physiologie : Fécondité, Longévité, Reproduction, Vieillissement.
- Animaux, Chlorophyta, Phylogénie, Plantes, Évolution biologique.
English descriptors
- KwdEn :
- MESH :
- physiology : Aging, Fertility, Longevity, Reproduction.
- Animals, Biological Evolution, Chlorophyta, Phylogeny, Plants.
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.
PubMed: 24317695
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Owen R. Jones<affiliation><nlm:affiliation>1] Max-Planck Odense Center on the Biodemography of Aging, Campusvej 55, 5230 Odense M, Denmark [2] Department of Biology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark [3].</nlm:affiliation>
<wicri:noCountry code="subField">Denmark [3]</wicri:noCountry>
</affiliation>
<affiliation><nlm:affiliation>1] Max Planck Institute for Demographic Research, Konrad-Zuse-Strasse 1, 18057 Rostock, Germany [2].</nlm:affiliation>
<wicri:noCountry code="subField">Germany [2]</wicri:noCountry>
</affiliation>
Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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<Abstract><AbstractText>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.</AbstractText>
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<Initials>JP</Initials>
<AffiliationInfo><Affiliation>1] Max-Planck Odense Center on the Biodemography of Aging, Campusvej 55, 5230 Odense M, Denmark [2] Department of Biology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.</Affiliation>
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<ForeName>María B</ForeName>
<Initials>MB</Initials>
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<AffiliationInfo><Affiliation>1] Department of Biology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark [2] Max Planck Institute for Demographic Research, Konrad-Zuse-Strasse 1, 18057 Rostock, Germany [3] Woods Hole Oceanographic Institution, Biology Department MS-34, Woods Hole, Massachusetts 02543 USA [4] Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, PO Box 94248, 1090GE Amsterdam, The Netherlands.</Affiliation>
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<ForeName>Annette</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Max Planck Institute for Demographic Research, Konrad-Zuse-Strasse 1, 18057 Rostock, Germany.</Affiliation>
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<ForeName>James W</ForeName>
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<AffiliationInfo><Affiliation>1] Max-Planck Odense Center on the Biodemography of Aging, Campusvej 55, 5230 Odense M, Denmark [2] Max Planck Institute for Demographic Research, Konrad-Zuse-Strasse 1, 18057 Rostock, Germany [3] Duke Population Research Institute, Duke University, Durham, North Carolina 27705, USA.</Affiliation>
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<Month>12</Month>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000375" MajorTopicYN="N">Aging</DescriptorName>
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<MeshHeading><DescriptorName UI="D005075" MajorTopicYN="N">Biological Evolution</DescriptorName>
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<MeshHeading><DescriptorName UI="D000460" MajorTopicYN="N">Chlorophyta</DescriptorName>
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<MeshHeading><DescriptorName UI="D005298" MajorTopicYN="N">Fertility</DescriptorName>
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<MeshHeading><DescriptorName UI="D010802" MajorTopicYN="Y">Phylogeny</DescriptorName>
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<MeshHeading><DescriptorName UI="D010944" MajorTopicYN="N">Plants</DescriptorName>
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<MeshHeading><DescriptorName UI="D012098" MajorTopicYN="N">Reproduction</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName>
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