Literature DB >> 27852801

Actuarial senescence in a long-lived orchid challenges our current understanding of ageing.

Johan Petter Dahlgren1,2, Fernando Colchero3,4, Owen R Jones3,2, Dag-Inge Øien5, Asbjørn Moen5, Nina Sletvold6.   

Abstract

The dominant evolutionary theory of actuarial senescence-an increase in death rate with advancing age-is based on the concept of a germ cell line that is separated from the somatic cells early in life. However, such a separation is not clear in all organisms. This has been suggested to explain the paucity of evidence for actuarial senescence in plants. We used a 32 year study of Dactylorhiza lapponica that replaces its organs each growing season, to test whether individuals of this tuberous orchid senesce. We performed a Bayesian survival trajectory analysis accounting for reproductive investment, for individuals under two types of land use, in two climatic regions. The mortality trajectory was best approximated by a Weibull model, showing clear actuarial senescence. Rates of senescence in this model declined with advancing age, but were slightly higher in mown plots and in the more benign climatic region. At older ages, senescence was evident only when accounting for a positive effect of reproductive investment on mortality. Our results demonstrate actuarial senescence as well as a survival-reproduction trade-off in plants, and indicate that environmental context may influence senescence rates. This knowledge is crucial for understanding the evolution of demographic senescence and for models of plant population dynamics.
© 2016 The Author(s).

Entities:  

Keywords:  demographic senescence; demography; life-history theory; mortality; rate of ageing; survival–reproduction trade-off

Mesh:

Year:  2016        PMID: 27852801      PMCID: PMC5124088          DOI: 10.1098/rspb.2016.1217

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  29 in total

Review 1.  The case for negative senescence.

Authors:  James W Vaupel; Annette Baudisch; Martin Dölling; Deborah A Roach; Jutta Gampe
Journal:  Theor Popul Biol       Date:  2004-06       Impact factor: 1.570

2.  Longitudinal analysis of Plantago: age-by-environment interactions reveal aging.

Authors:  Deborah A Roach; Caroline E Ridley; Jeffry L Dudycha
Journal:  Ecology       Date:  2009-06       Impact factor: 5.499

3.  Measuring the costs of reproduction.

Authors:  D Remick
Journal:  Trends Ecol Evol       Date:  1992-02       Impact factor: 17.712

4.  Bayesian inference on age-specific survival for censored and truncated data.

Authors:  Fernando Colchero; James S Clark
Journal:  J Anim Ecol       Date:  2011-08-26       Impact factor: 5.091

Review 5.  Early-late life trade-offs and the evolution of ageing in the wild.

Authors:  Jean-François Lemaître; Vérane Berger; Christophe Bonenfant; Mathieu Douhard; Marlène Gamelon; Floriane Plard; Jean-Michel Gaillard
Journal:  Proc Biol Sci       Date:  2015-05-07       Impact factor: 5.349

6.  Climate-dependent costs of reproduction: survival and fecundity costs decline with length of the growing season and summer temperature.

Authors:  Nina Sletvold; Jon Ågren
Journal:  Ecol Lett       Date:  2015-02-24       Impact factor: 9.492

7.  Actuarial senescence in a long-lived orchid challenges our current understanding of ageing.

Authors:  Johan Petter Dahlgren; Fernando Colchero; Owen R Jones; Dag-Inge Øien; Asbjørn Moen; Nina Sletvold
Journal:  Proc Biol Sci       Date:  2016-11-16       Impact factor: 5.349

8.  The evolution of ageing and longevity.

Authors:  T B Kirkwood; R Holliday
Journal:  Proc R Soc Lond B Biol Sci       Date:  1979-09-21

9.  The moulding of senescence by natural selection.

Authors:  W D Hamilton
Journal:  J Theor Biol       Date:  1966-09       Impact factor: 2.691

10.  The new biology of ageing.

Authors:  Linda Partridge
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-01-12       Impact factor: 6.237

View more
  1 in total

1.  Actuarial senescence in a long-lived orchid challenges our current understanding of ageing.

Authors:  Johan Petter Dahlgren; Fernando Colchero; Owen R Jones; Dag-Inge Øien; Asbjørn Moen; Nina Sletvold
Journal:  Proc Biol Sci       Date:  2016-11-16       Impact factor: 5.349

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.