Literature DB >> 10611390

Empirical laws of survival and evolution: their universality and implications.

M Y Azbel'1.   

Abstract

Presented analysis of human and fly life tables proves that with the specified accuracy their entire survival and mortality curves are uniquely determined by a single point (e.g., by the birth mortality q(0)), according to the law, which is universal for species as remote as humans and flies. Mortality at any age decreases with the birth mortality q(0). According to life tables, in the narrow vicinity of a certain q(0) value (which is the same for all animals of a given species, independent of their living conditions), the curves change very rapidly and nearly simultaneously for an entire population of different ages. The change is the largest in old age. Because probability to survive to the mean reproductive age quantifies biological fitness and evolution, its universal rapid change with q(0) (which changes with living conditions) manifests a new kind of an evolutionary spurt of an entire population. Agreement between theoretical and life table data is explicitly seen in the figures. Analysis of the data on basic metabolism reduces it to the maximal mean lifespan (for animals from invertebrates to mammals), or to the maximal mean fission time (for bacteria), and universally scales them with the total number of body atoms only. Phenomenological origin of this unification and universality of metabolism, survival, and evolution is suggested. Their implications and challenges are discussed.

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Year:  1999        PMID: 10611390      PMCID: PMC24825          DOI: 10.1073/pnas.96.26.15368

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  15 in total

1.  Demography of genotypes: failure of the limited life-span paradigm in Drosophila melanogaster.

Authors:  J W Curtsinger; H H Fukui; D R Townsend; J W Vaupel
Journal:  Science       Date:  1992-10-16       Impact factor: 47.728

2.  Slowing of mortality rates at older ages in large medfly cohorts.

Authors:  J R Carey; P Liedo; D Orozco; J W Vaupel
Journal:  Science       Date:  1992-10-16       Impact factor: 47.728

3.  Mean field theory for a simple model of evolution.

Authors: 
Journal:  Phys Rev Lett       Date:  1993-12-13       Impact factor: 9.161

4.  The long-term pattern of adult mortality and the highest attained age.

Authors:  A R Thatcher
Journal:  J R Stat Soc Ser A Stat Soc       Date:  1999       Impact factor: 2.483

5.  Hsp90 as a capacitor for morphological evolution.

Authors:  S L Rutherford; S Lindquist
Journal:  Nature       Date:  1998-11-26       Impact factor: 49.962

6.  A general model for the origin of allometric scaling laws in biology.

Authors:  G B West; J H Brown; B J Enquist
Journal:  Science       Date:  1997-04-04       Impact factor: 47.728

7.  Universal biological scaling and mortality.

Authors: 
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-20       Impact factor: 11.205

8.  Punctuated equilibrium comes of age.

Authors:  S J Gould; N Eldredge
Journal:  Nature       Date:  1993-11-18       Impact factor: 49.962

9.  Phenomenological theory of mortality evolution: its singularities, universality, and superuniversality.

Authors:  M Y Azbel'
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

Review 10.  How frailty models can be used for evaluating longevity limits: taking advantage of an interdisciplinary approach.

Authors:  A I Yashin; I A Iachine
Journal:  Demography       Date:  1997-02
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  2 in total

1.  Plasticity and rectangularity in survival curves.

Authors:  Byung Mook Weon; Jung Ho Je
Journal:  Sci Rep       Date:  2011-09-28       Impact factor: 4.379

2.  Deciphering a survival strategy during the interspecific competition between Bacillus cereus MSM-S1 and Pseudomonas sp. MSM-M1.

Authors:  Brinta Chakraborty; Anish Mallick; Sumana Annagiri; Supratim Sengupta; Tapas K Sengupta
Journal:  R Soc Open Sci       Date:  2016-11-23       Impact factor: 2.963

  2 in total

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