ArticleProceedings. Biological sciences2009
What can genetic variation tell us about the evolution of senescence?
Article in Proceedings. Biological sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 48 citations in OpenAlex.
- Inbreeding accelerates reproductive senescence, but not survival senescence, in a precocial bird.The Journal of animal ecology · 2024Article
- Pace and shape of senescence in three species of duckweed.Ecology and evolution · 2022Article
- Modular Evolution of the Drosophila Metabolome.Molecular biology and evolution · 2022Article
- Review
- Ageing Throughout History: The Evolution of Human Lifespan.Journal of molecular evolution · 2020Review
- Running out of developmental program and selfish anti-aging: a new hypothesis explaining the aging process in primates.GeroScience · 2019Review
- Alleles of a gene differ in pleiotropy, often mediated through currency metabolite production, in E. coli and yeast metabolic simulations.Scientific reports · 2018Article
- Horizons in the evolution of aging.BMC biology · 2018Review
- Sex-specific effects of inbreeding on reproductive senescence.Proceedings. Biological sciences · 2018Article
- Article
- Evolution of maternal effect senescence.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Article
- Testing evolutionary models of senescence: traditional approaches and future directions.Human genetics · 2014Review
- Article
- Mutation accumulation may only be a minor force in shaping life-history traits, even when reproduction is sexual.PloS one · 2012Article
- Inbreeding depression in red deer calves.BMC evolutionary biology · 2011Article
- Before senescence: the evolutionary demography of ontogenesis.Proceedings. Biological sciences · 2011Review
- Evolutionary demography and quantitative genetics: age-specific survival as a threshold trait.Proceedings. Biological sciences · 2011Article
- One hundred years of pleiotropy: a retrospective.Genetics · 2010Review
- Mutation and the evolution of ageing: from biometrics to system genetics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.