Literature DB >> 10511560

The evolution of age-specific mortality rates in Drosophila melanogaster: genetic divergence among unselected lines.

S D Pletcher1, D Houle, J W Curtsinger.   

Abstract

Age-specific effects of spontaneous mutations on mortality rates in Drosophila are inferred from three large demographic experiments. Data were collected from inbred lines that were allowed to accumulate spontaneous mutations for 10, 19, and 47 generations. Estimates of age-specific mutational variance for mortality were based on data from all three experiments, totalling approximately 225,000 flies, using a model developed for genetic analysis of age-dependent traits (the character process model). Both within- and among-generation analyses suggest that the input of genetic variance is greater for early life mortality rates than for mortality at older ages. In females, age-specific mutational variances ranged over an order of magnitude from 5.96 x 10(-3) at 2 wk posteclosion to 0.02 x 10(-3) at 7 wk. The male data show a similar pattern. Age-specific genetic variances were substantially less at generation 47 than at generation 19-an unexplained observation that is likely due to block effects. Mutational correlations among mortality rates at different ages tend to increase with the accumulation of new mutations. Comparison of the mutation-accumulation lines at generations 19 and 47 with their respective control lines suggests little age-specific mutational bias.

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Year:  1999        PMID: 10511560      PMCID: PMC1460796     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  29 in total

1.  Toward reconciling inferences concerning genetic variation in senescence in Drosophila melanogaster.

Authors:  F H Shaw; D E Promislow; M Tatar; K A Hughes; C J Geyer
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

2.  Deleterious mutations, apparent stabilizing selection and the maintenance of quantitative variation.

Authors:  A S Kondrashov; M Turelli
Journal:  Genetics       Date:  1992-10       Impact factor: 4.562

3.  Design and analysis of experiments on random drift and inbreeding depression.

Authors:  M Lynch
Journal:  Genetics       Date:  1988-11       Impact factor: 4.562

Review 4.  Comparing mutational variabilities.

Authors:  D Houle; B Morikawa; M Lynch
Journal:  Genetics       Date:  1996-07       Impact factor: 4.562

Review 5.  Biodemographic trajectories of longevity.

Authors:  J W Vaupel; J R Carey; K Christensen; T E Johnson; A I Yashin; N V Holm; I A Iachine; V Kannisto; A A Khazaeli; P Liedo; V D Longo; Y Zeng; K G Manton; J W Curtsinger
Journal:  Science       Date:  1998-05-08       Impact factor: 47.728

6.  Directional selection and variation in finite populations.

Authors:  P D Keightley; W G Hill
Journal:  Genetics       Date:  1987-11       Impact factor: 4.562

7.  Polygenic mutation in Drosophila melanogaster: estimates from response to selection of inbred strains.

Authors:  T F Mackay; J D Fry; R F Lyman; S V Nuzhdin
Journal:  Genetics       Date:  1994-03       Impact factor: 4.562

8.  Rates of change in quantitative traits from fixation of new mutations.

Authors:  W G Hill
Journal:  Proc Natl Acad Sci U S A       Date:  1982-01       Impact factor: 11.205

9.  Age-specific patterns of genetic variance in Drosophila melanogaster. I. Mortality.

Authors:  D E Promislow; M Tatar; A A Khazaeli; J W Curtsinger
Journal:  Genetics       Date:  1996-06       Impact factor: 4.562

10.  Estimate of the genomic mutation rate deleterious to overall fitness in E. coli.

Authors:  T T Kibota; M Lynch
Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

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  12 in total

1.  The genetic analysis of age-dependent traits: modeling the character process.

Authors:  S D Pletcher; C J Geyer
Journal:  Genetics       Date:  1999-10       Impact factor: 4.562

2.  Properties of ethylmethane sulfonate-induced mutations affecting life-history traits in Caenorhabditis elegans and inferences about bivariate distributions of mutation effects.

Authors:  P D Keightley; E K Davies; A D Peters; R G Shaw
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

3.  Quantitative trait loci with age-specific effects on fecundity in Drosophila melanogaster.

Authors:  Jeff Leips; Paul Gilligan; Trudy F C Mackay
Journal:  Genetics       Date:  2005-11-04       Impact factor: 4.562

4.  Age specificity of inbreeding load in Drosophila melanogaster and implications for the evolution of late-life mortality plateaus.

Authors:  Rose M Reynolds; Sara Temiyasathit; Melissa M Reedy; Elizabeth A Ruedi; Jenny M Drnevich; Jeff Leips; Kimberly A Hughes
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

5.  A theory of age-dependent mutation and senescence.

Authors:  Jacob A Moorad; Daniel E L Promislow
Journal:  Genetics       Date:  2008-07-27       Impact factor: 4.562

6.  What can genetic variation tell us about the evolution of senescence?

Authors:  Jacob A Moorad; Daniel E L Promislow
Journal:  Proc Biol Sci       Date:  2009-03-18       Impact factor: 5.349

Review 7.  Pleiotropy, constraint, and modularity in the evolution of life histories: insights from genomic analyses.

Authors:  Kimberly A Hughes; Jeff Leips
Journal:  Ann N Y Acad Sci       Date:  2016-12-09       Impact factor: 5.691

Review 8.  Integrating evolutionary and molecular genetics of aging.

Authors:  Thomas Flatt; Paul S Schmidt
Journal:  Biochim Biophys Acta       Date:  2009-07-18

9.  Antioxidant gene expression in active and sedentary house mice (Mus domesticus) selected for high voluntary wheel-running behavior.

Authors:  Anne M Bronikowski; Theodore J Morgan; Theodore Garland; Patrick A Carter
Journal:  Genetics       Date:  2002-08       Impact factor: 4.562

10.  Quantitative Genetics of the Aging of Reproductive Traits in the Houbara Bustard.

Authors:  Stéphane Chantepie; Alexandre Robert; Gabriele Sorci; Yves Hingrat; Anne Charmantier; Gwénaëlle Leveque; Frédéric Lacroix; Céline Teplitsky
Journal:  PLoS One       Date:  2015-07-28       Impact factor: 3.240

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