Evidence map›Paper›PMID 22392997›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Neutral theory for life histories and individual variability in fitness components.

Ulrich Karl Steiner, Shripad Tuljapurkar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Trial
  2. Article
  3. Neutrality in plant-herbivore interactions.Proceedings. Biological sciences · 2024
    Article
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  7. Article
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  12. Article
  13. Senescence in Bacteria and Its Underlying Mechanisms.Frontiers in cell and developmental biology · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Lipidome Evolution in Mammalian Tissues.Molecular biology and evolution · 2018
    Article
  20. Occupancy time in sets of states for demographic models.Theoretical population biology · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ulrich Karl SteinerDepartment of Biology, Stanford University, Stanford, CA 94305, USA. ulrich.steiner@inserm.fr
Shripad Tuljapurkar

Funding

NIA NIH HHS P01-AG0225000-01
6 · The paper itself

Abstract

Individuals within populations can differ substantially in their life span and their lifetime reproductive success but such realized individual variation in fitness components need not reflect underlying heritable fitness differences visible to natural selection. Even so, biologists commonly argue that large differences in fitness components are likely adaptive, resulting from and driving evolution by natural selection. To examine this argument we use unique formulas to compute exactly the variance in life span and in lifetime reproductive success among individuals with identical (genotypic) vital rates (assuming a common genotype for all individuals). Such individuals have identical fitness but vary substantially in their realized individual fitness components. We show by example that our computed variances and corresponding simulated distribution of fitness components match those observed in real populations. Of course, (genotypic) vital rates in real populations are expected to differ by small but evolutionarily important amounts among genotypes, but we show that such differences only modestly increase variances in fitness components. We conclude that observed differences in fitness components may likely be evolutionarily neutral, at least to the extent that they are indistinguishable from distributions generated by neutral processes. Important consequences of large neutral variation are the following: Heritabilities for fitness components are likely to be small (which is in fact the case), small selective differences in life histories will be hard to measure, and the effects of random drift will be amplified in natural populations by the large variances among individuals.

Indexed as

Selection, GeneticAge FactorsAnimalsBiological EvolutionBirdsEnvironmentFemaleGenotypeHumansLifeLife Cycle StagesMaleMarkov ChainsModels, BiologicalPhenotypePopulation Dynamics

Identifiers

PMID22392997
PMCPMC3311353

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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.