ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2010
Mutation and the evolution of ageing: from biometrics to system genetics.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- Molecular evolution and the decline of purifying selection with age.Nature communications · 2021Article
- Deleterious mutations show increasing negative effects with age in Drosophila melanogaster.BMC biology · 2020Article
- Review
- Evolution of ageing as a tangle of trade-offs: energy versus function.Proceedings. Biological sciences · 2019Article
- Pleiotropy, constraint, and modularity in the evolution of life histories: insights from genomic analyses.Annals of the New York Academy of Sciences · 2017Review
- Fitness is strongly influenced by rare mutations of large effect in a microbial mutation accumulation experiment.Genetics · 2014Article
- Genome-wide association study of extreme longevity in Drosophila melanogaster.Genome biology and evolution · 2014Article
- Vitellogenin family gene expression does not increase Drosophila lifespan or fecundity.F1000Research · 2014Article
- Genomic basis of aging and life-history evolution in Drosophila melanogaster.Evolution; international journal of organic evolution · 2012Article
- Age-specific variation in immune response in Drosophila melanogaster has a genetic basis.Genetics · 2012Article
- What can whole genome expression data tell us about the ecology and evolution of personality?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010Review
- The population genetics of mutations: good, bad and indifferent.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010Article
- Rate and effects of spontaneous mutations that affect fitness in mutator Escherichia coli.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A notable success for evolutionary genetics during the past century was to generate a coherent, quantitative explanation for an apparent evolutionary paradox: the tendency for multicellular organisms to show declining fitness with age (senescence, often referred to simply as 'ageing'). This general theory is now widely accepted and explains most of the features of senescence that are observed in natural and laboratory populations, but specific instantiations of that theory have been more controversial. To date, most of the empirical tests of these models have relied on data generated from biometric experiments. Modern population genetics and genomics provide new, and probably more powerful, ways to test ideas that are still controversial more than half a century after the original theory was developed. System-genetic experiments have the potential to address both evolutionary and mechanistic questions about ageing by identifying causal loci and the genetic networks with which they interact. Both the biometrical approaches and the newer approaches are reviewed here, with an emphasis on the challenges and limitations that each method faces.
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What OpenQuestion holds
Registered trials
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.