Literature DB >> 19324735

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

Jacob A Moorad1, Daniel E L Promislow.   

Abstract

Quantitative genetic approaches have been developed that allow researchers to determine which of two mechanisms, mutation accumulation (MA) or antagonistic pleiotropy (AP), best explain observed variation in patterns of senescence using classical quantitative genetic techniques. These include the creation of mutation accumulation lines, artificial selection experiments and the partitioning of genetic variances across age classes. This last strategy has received the lion's share of empirical attention. Models predict that inbreeding depression (ID), dominance variance and the variance among inbred line means will all increase with age under MA but not under those forms of AP that generate marginal overdominance. Here, we show that these measures are not, in fact, diagnostic of MA versus AP. In particular, the assumptions about the value of genetic parameters in existing AP models may be rather narrow, and often violated in reality. We argue that whenever ageing-related AP loci contribute to segregating genetic variation, polymorphism at these loci will be enhanced by genetic effects that will also cause ID and dominance variance to increase with age, effects also expected under the MA model of senescence. We suggest that the tests that seek to identify the relative contributions of AP and MA to the evolution of ageing by partitioning genetic variance components are likely to be too conservative to be of general value.

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Year:  2009        PMID: 19324735      PMCID: PMC2677612          DOI: 10.1098/rspb.2009.0183

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


  37 in total

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  19 in total

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Review 2.  Mutation and the evolution of ageing: from biometrics to system genetics.

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Review 4.  Before senescence: the evolutionary demography of ontogenesis.

Authors:  Daniel A Levitis
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Review 5.  Running out of developmental program and selfish anti-aging: a new hypothesis explaining the aging process in primates.

Authors:  Andrej Podlutsky
Journal:  Geroscience       Date:  2019-03-26       Impact factor: 7.713

6.  Sex-specific effects of inbreeding on reproductive senescence.

Authors:  Raïssa A de Boer; Marcel Eens; Wendt Müller
Journal:  Proc Biol Sci       Date:  2018-05-30       Impact factor: 5.349

Review 7.  Testing evolutionary models of senescence: traditional approaches and future directions.

Authors:  Chloe Robins; Karen N Conneely
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8.  Testing Two Evolutionary Theories of Human Aging with DNA Methylation Data.

Authors:  Chloe Robins; Allan F McRae; Joseph E Powell; Howard W Wiener; Stella Aslibekyan; Elizabeth M Kennedy; Devin M Absher; Donna K Arnett; Grant W Montgomery; Peter M Visscher; David J Cutler; Karen N Conneely
Journal:  Genetics       Date:  2017-08-30       Impact factor: 4.562

9.  Evolution of maternal effect senescence.

Authors:  Jacob A Moorad; Daniel H Nussey
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-29       Impact factor: 11.205

Review 10.  Life-History Evolution and the Genetics of Fitness Components in Drosophila melanogaster.

Authors:  Thomas Flatt
Journal:  Genetics       Date:  2020-01       Impact factor: 4.562

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